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Abstract

Parental burnout (PB) is a pervasive phenomenon. Parenting is embedded in cultural values, and previous research has shown the role of individualism in PB. In this paper, we reanalyze previously collected data to identify profiles based on the four dimensions of PB, and explore whether these profiles vary across countries’ levels of collectivistic-individualistic (COL-IND) values. Our sample comprised 16,885 individuals from 36 countries (73% women; 27% men), and we used a latent profile approach to uncover PB profiles. The findings showed five profiles: Fulfilled, Not in PB, Low risk of PB, High risk of PB and Burned out. The profiles pointed to climbing levels of PB in the total sample and in each of the three country groups (High COL/Low IND, Medium COL-IND, Low COL/High IND). Exploratory analyses revealed that distinct dimensions of PB had the most prominent roles in the climbing pattern, depending on the countries’ levels of COL/IND. In particular, we found contrast to be a hallmark dimension and an indicator of severe burnout for individualistic countries. Contrary to our predictions, emotional distance and saturation did not allow a clear differentiation across collectivistic countries. Our findings support several research avenues regarding PB measurement and intervention.

Keywords

parental burnout cultural values individualism collectivism latent profile analyses

An impressive set of studies have been published in the past five to 10 years on the specific topic of parental burnout (PB). PB is characterized by i) an overwhelming sense of exhaustion related to the parental role, which leaves the parent feeling emotionally drained; ii) a strong contrast between how parents see themselves acting now compared to before—parents no longer recognize themselves in their parental role (Roskam et al., 2018); iii) saturation or feeling fed up with parenting—parents find their parental role burdensome, and no longer enjoy being with their children, and iv) emotional distancing of parents from their children, limiting interactions to functional or instrumental issues, without responding to their emotional needs (Roskam et al., 2018). Parental burnout has been shown to differ from other related constructs, such as job burnout and depressive symptoms, as reported by a recent study by Mikolajczak et al. (2020). In their study using factor analysis and associations with other constructs, the authors ascertained the distinctiveness of parental burnout in both axes: parental burnout is factorially distinct from job burnout and depressive symptomatology and has specific consequences which could not be predicted by job burnout and depression, such as parental neglect and violence (Mikolajczak et al., 2020).

Despite the reasons for taking a multifaceted approach to PB, the specific role of the four dimensions on its severity remains unexplored mainly because the validation study of the Parental Burnout Assessment (PBA, Roskam et al., 2018) found a high correlation between the four dimensions. This high association was further replicated in several samples and in several languages (e.g., Arikan et al., 2020; Aunola et al., 2020; Cheng et al., 2020; Furutani et al., 2020; Gannaé et al., 2020; Hamvai et al., 2022; Manrique-Millones et al., 2020; Matias et al., 2020; Mousavi et al., 2020; Sodi et al., 2020; Stănculescu et al., 2020; Szczygieł et al., 2020). Not surprisingly, most subsequent studies - with notable exceptions such as Hansotte et al. (2021), Roskam et al. (2021), and Roskam & Mikolajczak (2021)—have used the total score for PB, leaving the contribution of PB-specific dimensions largely unexplored.

However, PB is a developmental process. The symptoms (dimensions) do not appear altogether, and some dimensions, i.e., emotional distancing and a sense of inefficacy in the parental role, reinforce each other over time (Roskam & Mikolajczak, 2021). It is likely that, depending on where they are in the process, parents do not experience high levels in all four dimensions. It is also likely that parents scoring high on PB could either be particularly exhausted and fed up with the parental role or instead, feel contrast with their previous parental self and emotional distance from their children. Therefore, different profiles of PB should occur and the specific role of the four dimensions in PB deserves better attention.

Studies of PB profiles are scarce. Apart from Roskam and Mikolajczak (2021), who studied the developmental process of PB with a variable-centered approach, Hansotte et al., (2021) is currently the only study that has taken a person-centered approach to disentangle PB profiles. Five profiles of parents were identified: two profiles (not in parental burnout and inefficient) that could be regarded as not representing PB since the scores on emotional exhaustion were low; a profile of emotionally exhausted parents (at risk of parental burnout); and two other profiles representing largely exhausted parents (emotionally exhausted and distant and burned out parents), in which the dimensions of PB were present but with different intensities. These findings were promising and pointed to the relevance of a person-centered approach.

Those two exceptional studies assessed the PB dimensions using the Parental Burnout Inventory (PBI, Roskam et al., 2017), a measure derived from the theoretical framework for job burnout. But researchers have questioned whether the items derived from the work context best represent burnout in the parenting context (see Roskam et al., 2018). The PBA was more recently developed using an inductive method, which constructed the items based on interviews with burned-out parents. In this way, the PBA overcame some of the PBI’s important limitations by including two unidentified dimensions which surfaced in burned-out parents’ testimonies, i.e., saturation in the parental role (feelings of being fed up) and contrast with previous parental self. Although saturation in the parental role is close to the loss of personal accomplishment dimension of the PBI, contrast is not evaluated by the PBI. This fundamental diagnostic criterion is only captured by the PBA. And in the absence of any contrast with the parent they once were, no parent can be said to be in burnout.

Based on its background and the excellent psychometric properties of its test score across studies (e.g., Arikan et al., 2020; Aunola et al., 2020; Chen et al., 2020; Furutani et al., 2020; Matias et al., 2020; Mousavi et al., 2020; Roskam et al., 2018; Stănculescu et al., 2020; Szczygieł et al., 2020), the PBA is now considered the gold standard measure for parental burnout, i.e., the best single test and the preferred method of diagnosing parental burnout, against which other methods of diagnosing parental burnout should be compared. The current work aims to expand previous findings to a worldwide sample of parents, using a person-centered approach with the PBA.

Cultural Variation in Parental Burnout Profiles

Culture deeply influences parenting (Harkness & Super, 1996; Jose et al., 2000); thus, parenting cultures emerge around the globe (Lin et al., 2022). They are characterized by specific beliefs and norms about how one should feel, think, and behave as a parent (Bornstein, 2012). “Good parent” beliefs in different cultural contexts may translate not only into differences in the frequency of PB, as suggested by Roskam et al. (2021), but also into differences in how the four dimensions combine to form profiles of PB. Roskam et al. (2021) showed that PB as measured by the total score of the PBA was more prevalent in cultures with higher individualistic values. However, less is known about how the distinct facets of parental burnout vary according to individualistic cultural values. Shedding light on this may respond to the need identified by Roskam et al. (2021) to clarify why parents in more individualistic or less collectivistic countries are more exposed to parental burnout.

Individualism centralizes the personal and peripheralizes the social (Oyserman et al., 2002). In individualistic cultures, self-reliance is highly valued by parents, and they raise their children to be independent, self-interested and materially more successful than themselves (Harkness & Super, 2021; Super & Harkness, 2002). Furthermore, in such cultures where a preoccupation with performance and high standards prevail in most life domains, including parenting, adults, including mothers or fathers, are focused on personal autonomy and self-fulfillment as the basis of identity (Hofstede, 1983; Triandis, 1995). With the spread of a new ideology of intensive parenting in most Euro-American countries, the requirements for being a “good parent” became more demanding (Hays, 1996; Milkie et al., 2010). Parents who share individualistic values face tremendous pressure, exacerbating the risk of PB. In this context, it is likely that the contrast dimension of PB will be particularly salient when parents believe that they are no longer “good parents”, being unable to fulfill the social prescriptions for the parenting role. As Roskam et al. (2021) showed, such self-discrepancies are associated with higher parental burnout. We can thus expect that in individualistic cultures, contrast will be a stronger marker of burnout profiles. Testing this prediction will help us gain a deeper understanding of parental burnout and of the previous findings of Roskam et al. (2023) regarding the role of individualism.

Whereas individualistic cultures promote higher individuation and value independent construals of self (Markus & Kitayama, 1991), group membership and maintaining harmonious relationships with close others are central aspects of identity in collectivistic cultures (Oyserman et al., 2002). In such cultures, individuals consider themselves to be closely related to or connected with others. Collectivistic individuals are expressly motivated by the goals, norms and values of their cultural or social group (Mann & Cheng, 2013). Successful childrearing is more a collective than a personal challenge, and responsibility for the intensive demands of parenting is shared with other members of the community who are expected to support the parents. To achieve this kind of solidarity, parents in collectivist cultures rely on close relationships between family members. As closeness in relationships is the basis of society, feelings of emotional distance from one’s children would be particularly harmful. We can thus expect that in collectivist cultures, Emotional Distance from the children will be the stronger marker of burnout profiles. Detailing the role of specific PB facets is an innovative approach that should yield a deeper understanding of the links between cultural values and PB.

The Current Study

In the current study, we first explored the profiles of PB using the PBA completed by parents from 36 countries. Second, at the individual level, we explored the profiles according to the parents’ sociodemographic characteristics. Third, at the country level, we explored the profiles of PB in collectivistic and individualistic countries separately. We then compared the mean levels of the dimensions in each profile according to the countries’ level of collectivism-individualism.

Method

Participants and Data Collection Procedure

Using data from a previous study (Roskam et al., 2021) conducted by the IIPB Consortium, which covers 42 countries, we performed further analyses encompassing the parental burnout facets and the countries’ levels of collectivism-individualism. Ethics approval was obtained in all participating countries before the data collection. To participate in the study, parents were required to have at least one child, regardless of age, still living at home.

In this study, however, we restricted the data to information from participants from 36 countries with scores on Hofstede’s individualism scale, comprising 16,093 individuals. Data collection occurred between January 2018 and November 2019 with various recruitment procedures, including newspaper advertisement, word of mouth, social networks, door-to-door, and varied survey presentations, namely paper and pencil and online. See Table 1 for specific information regarding the data collection in each country. See Table 2 for detailed information about the sociodemographic characteristics of respondents in each country.

Table 1.

Data Collection Procedures in Each Country.

	Sampling Procedure	Location of Data Collection^a	Survey Type Online Versus Paper-Pencil (% Online)
Algeria	Snowball	Oran, Mostaganem, Tlemcen, Ain Temouchent, Relizane, Chlef, El Bayadh, Annaba, Constantine et Oum El Bouaghi	0
Argentina	Snowball and convenience	San Miguel de Tucumán	100
Australia	Snowball	New South Wales, Victoria, Queensland, Western Australia, South Australia, Tasmania, Australian Capital Territory	100
Austria	Snowball and convenience	Undefined	100
Belgium	Snowball	Flanders and Wallonia	100
Brazil	Snowball and convenience	São Paulo and Rio de Janeiro states: Amazonas, Ceará, Mato Grosso do Sul, Minas Gerais, Paraíba, Paraná, Pernambuco, Piauí, Rio de Janeiro, São Paulo, Sergipe	65.1
Canada	Snowball	Ontario, Manitoba, Saskatchewan, Alberta, Quebec, Northwest Territories	100
Chile	Snowball and convenience	Santiago, los Lagos (Puerto Montt), Del Maule (Talca)	100
China	Convenience	Zhejiang	100
Colombia	Snowball and convenience	Undefined	100
Costa Rica	Snowball and convenience	San José, San Ramon, Heredia, Cartago, Alajuela	94
Ecuador	Convenience	Quito, Latacunga, Ibarra Otavalo, Saquisilí, Salcedo, El Corazón, Guaranda, Tulcán, Cuenca, Guayaquil, Portoviejo, Esmeraldas, Lago	100
Finland	Snowball and convenience	Hyvinkää, Posio, Jyväskylä	86.3
France	Snowball and convenience	Provence-Alpes-Côte d’Azur, Ile-de-France	100
Germany	Convenience	Baden-Württemberg	100
Netherlands	Snowball and convenience	Tilburg	100
Iran	Convenience	Tehran	0
Italy	Snowball and convenience	Padova	98
Japan	Quota sampling	The 47 prefectures in Japan	100
Lebanon	Stratified	Mount Lebanon, Beirut, North Lebanon, South Lebanon, Nabatieh, Beqaa	100
Pakistan	Convenience	Lahore	0
Peru	Convenience	Lima, Arequipa, Cajamarca, San Martin, La Libertad, Lambayeque	46
Poland	Snowball and convenience	Warsaw	85
Portugal	Snowball and convenience	Coimbra, Porto	81
Romania	Convenience	Bucharest, Timisoara	86
Russia	Snowball and convenience	Undefined	100
Serbia	Snowball and convenience	Belgrade	100
Spain	Snowball and convenience	Spain (undefined) and Basque country (Galdakao and Igorre, Azpeitia and Errenteria, Vitoria-Gasteiz, Leitza)	68
Sweden	Snowball	Undefined	100
Switzerland	Snowball and convenience	Canton of Vaud	100
Thailand	Convenience	Chiand Mai	0
Turkey	Convenience	Ankara, Istanbul	0
UK	Snowball and convenience	England, Scotland, Wales and Northern Ireland	100
Uruguay	Snowball and convenience	Montevideo	0
USA	Convenience and quota	Stanford, Florida	100
Vietnam	Snowball and convenience	Ho Chi Minh City, Thanh Hoa, Cam Ranh province, Lam Dong, Mekong Delta area	12.5

^aLocation is larger for countries where online survey was used as the survey covered the whole country. The location that is mentioned is where the sampling and data collection started.

Table 2.

Sociodemographic Characteristics of Respondents in Each Country.

	Sample Size	Age	Sex (% Mothers)	Educational Level	Working Status (% Paid Professional Activity)	No. of Children in the Household
Algeria	318	41.62 (10.43)	60.4	14.02 (4.89)	70.1	2.66 (1.64)
Argentina	177	40.02 (9.88)	66.7	16.45 (4.08)	87.6	2.20 (1.11)
Australia	212	44.80 (10.60)	51.4	13.17 (2.78)	56.6	1.75 (0.86)
Austria	185	33.81 (6.47)	89.2	13.27 (3.08)	70.8	1.58 (.82)
Belgium	1689	38.41 (7.53)	86.3	16.55 (2.61)	90.9	2.09 (1.06)
Brazil	301	42.03 (9.09)	63.5	15.89 (4.22)	78.0	1.52 (0.76)
Canada	279	34.08 (6.66)	92.1	15.89 (2.80)	84.2	2.12 (0.86)
Chile	431	36.57 (6.56)	85.6	17.93 (3.36)	76.3	1.80 (1.33)
China	722	38.75 (4.68)	55.5	10.28 (2.87)	91.4	1.49 (0.59)
Colombia	95	—	74.7	—	84.2	1.57 (.72)
Costa Rica	248	37.79 (8.15)	58.9	16.41 (4.47)	84.7	1.51 (.72)
Ecuador	146	32.45 (7.50)	69.9	17.21 (3.0)	85.6	1.63 (.74)
Finland	1730	36.47 (6.49)	90.7	17.7 (3.4)	75.5	2.24 (1.29)
France	1357	38.06 (8.42)	81.4	15.0 (2.8)	83.0	1.85 (.85)
Germany	204	35.63 (7.90)	68.6	13.5 (4.9)	74.0	1.70 (.89)
Netherlands	221	37.21 (8.82)	71.9	16.3 (2.4)	93.2	1.72 (.83)
Iran	448	40.33 (8.71)	50.4	13.7 (3.5)	67.6	1.73 (.77)
Italy	350	43.53 (8.97)	71.4	15.0 (3.9)	85.7	1.74 (.74)
Japan	500	54.36 (14.65)	50.0	14.3 (2.5)	59.6	1.56 (.73)
Lebanon	201	37.44 (8.43)	67.2	16.2 (3.7)	67.7	2.18 (1.03)
Pakistan	226	50.24 (10.24)	44.2	12.0 (3.7)	40.9	4.85 (2.85)
Peru	311	40.15 (10.68)	69.8	14.9 (4.8)	84.6	1.94 (1.05)
Poland	457	34.76 (6.89)	71.1	17.5 (3.5)	75.5	1.71 (.93)
Portugal	407	41.85 (8.12)	50.4	14.9 (3.8)	92.8	1.66 (.71)
Romania	279	36.56 (5.12)	77.1	17.1 (2.7)	88.5	1.56 (.60)
Russia	365	34.41 (6.71)	72.1	14.5 (4.2)	83.6	1.71 (.83)
Serbia	228	38.10 (5.70)	77.2	14.9 (5.2)	86.0	1.63 (.69)
Spain	696	40.91 (8.13)	76.7	15.1 (4.1)	82.3	1.72 (.77)
Sweden	796	40.66 (5.04)	93.0	15.4 (3.2)	87.3	2.15 (.94)
Switzerland	419	40.18 (6.86)	64.7	16.4 (3.6)	92.1	1.96 (.81)
Thailand	397	43.06 (5.99)	52.1	3.3 (1.1)	97.2	1.79 (.75)
Turkey	452	36.77 (6.51)	59.7	13.7 (3.6)	74.8	1.66 (.65)
UK	271	39.15 (8.52)	60.1	15.4 (3.3)	83.4	1.72 (.73)
Uruguay	299	35.09 (6.37)	62.9	12.9 (4.8)	89.6	1.62 (.73)
USA	406	38.20 (9.03)	68.7	15.42 (3.51)	76.1	1.90 (1.03)
Vietnam	271	36.83 (7.81)	55.7	14.12 (4.14)	95.5	1.66 (1.05)

Note. Standard deviations are in parentheses.

The majority of participants were part of two-parent families (79.2%), were women (73%), and were active in the labor market (82%). The other family compositions were single-parent families (8.6%), step-families (6.1%), multigenerational families (4.3%), same-sex couple families (.4%), polygamous families (.1%) and other types of families (1.4%). The mean age of participants was around 39 years (M = 39.09; SD = 8.81), varying from 33.81 (SD = 6.47) years in Austria to 54.36 (SD = 14.65) in Japan. The average number of years of education was 15 (M = 15.06; SD = 4.3), varying from 10.28 (SD = 2.87) in China to 17.5 (SD = 3.5) in Poland. The average number of children in the household was two (M = 1.94; SD = 1.02). A more detailed sample description can be found in the seminal paper of the IIPB consortium by Roskam et al. (2021).

Measures

Sociodemographic Characteristics

Age, gender, number of children, age of children, nationality, relationship status, type of family, and level of education.

Parental Burnout

Parental burnout was assessed with the Parental Burnout Assessment—PBA (Roskam et al., 2018), a 23-item questionnaire assessing the four core symptoms of PB: emotional exhaustion (9 items, e.g., “I feel completely run down by my role as a parent”), contrast (6 items, e.g., “I’m no longer proud of myself as a parent”), saturation or feelings of being fed up (5 items, e.g., “I can’t stand my role as father/mother anymore”), and emotional distancing (3 items, e.g., “I do what I’m supposed to do for my child(ren), but nothing more”). Items are rated on a 7-point frequency scale: never (0), a few times a year or less (1), once a month or less (2), a few times a month (3), once a week (4), a few times a week (5), every day (6).

In all participating countries, the instrument was translated, back-translated and adapted to local languages. In the past years, several validation studies of the measure have been published (Aunola et al., 2020; Cheng et al., 2020; Matias et al., 2020; Mousavi et al., 2020). Roskam et al. (2021) provide detailed data on the validation structure of the scale and establish the measurement invariance of the parental burnout measure according to language.

Collectivism-Individualism

The degree of collectivism-individualism was assessed using Hofstede’s framework and classification (Hofstede, 2001). Cultural value scores, including collectivism-individualism, range between 0 and 100 (retrieved from https://www.hofstede-insights.com/product/compare-countries/). Highly collectivistic cultures are those with lower scores and highly individualistic cultures are those with higher scores. Individualism scores were divided into three levels (up to 33; 33–66; more than 66). The division into three groups was determined to allow comparisons of more contrasted groups alongside individualistic values. High Collectivism/Low Individualism (High COL-Low IND) aggregated 23.4% of the sample (Chile, China, Colombia, Costa Rica, Equator, Peru, Portugal, Romania, Thailand, Vietnam, Pakistan, Serbia); Medium Collectivism/Medium Individualism (Medium COL-IND) aggregated 38.1% of the sample (Algeria, Argentina, Austria, Brazil, Finland, Iran, Japan, Lebanon, Poland, Russia, Spain, Turkey, Uruguay); and Low Collectivism/High Individualism (Low COL-High IND) encompassed 38.6% of the sample (Australia, Belgium, Canada, France, Germany, The Netherlands, Italy, Sweden, Switzerland, UK, USA).

Statistical Analyses

Latent profile analysis (LPA) was performed using Mplus version 8.5 (Muthén & Muthén, 1998-2020) and the robust maximum likelihood estimator (MLR) to explore the profiles of PB. Standardized scores for the four parental burnout dimensions were used as input data. To prevent converging on local solutions, latent profiles were estimated with 3000 random start values, 100 iterations, and 100 solutions retained for final stage optimization (see, e.g., Morin, 2016). One to six latent profiles were specified and the means of emotional exhaustion, saturation, emotional distancing and contrast were freely estimated across all profiles, but not their variances, which were constrained to equality. As variances are, by default, constrained to equality in Mplus, we constrained variances to be equal across latent classes to increase the models’ parsimony and stability. To determine the optimal number of profiles, we relied on a set of indicators of fit: log-likelihood (LL), the Akaïke information criterion (AIC), the Bayesian information criterion (BIC), the sample-size adjusted BIC (SSA-BIC), Lo, Mendell and Rubin’s adjusted likelihood ratio test (LMR-LRT), the bootstrap likelihood ratio test (BLRT), and entropy (entropy scores closest to one suggest clear delineation of profiles: Celeux & Soromenho, 1996). (For further details, see Morin, 2016). Furthermore, the profile solution chosen also needed to consider the substantive meaning of the retained profiles. LPA was performed in the entire sample and replicated in each group of collectivistic-individualistic countries.

Second, after the optimal number of profiles had been determined and named, profiles were compared according to the parents’ sociodemographic characteristics using ANOVAs and chi-square independence tests. Third, we reran LPA in collectivistic countries and individualistic countries separately and compared the mean of the dimensions in each profile, contrasting High COL-Low IND countries and Low COL-High IND countries, using t-tests.

Results

The Parental Burnout Profiles

LPA was performed for one to six profiles. Across the models, the fit indices (see Table 3) suggested the addition of profiles without converging on a clear solution until the non-significant LMR-LRT (using an alpha level of .001) of the sixth profile pointed to the selection of a five-profile solution. It must be kept in mind that these statistical indicators are heavily influenced by sample size, so a stricter alpha level can be adopted. Moreover, to ensure that this would be the optimal choice, we also followed Morin et al.’s (2011) recommendations and plotted these indicators in the format of “elbow plots” to examine where the slope flattened, indicating the optimal number of latent profiles to retain. In order to keep a meaningful and parsimonious solution, considering the LMR-LRT indicator and the past work of Hansotte et al. (2020) we retained the five-profile solution. This solution showed good fit indicators: it showed satisfactory entropy and the average latent class probabilities varied from .87 (for Profile 2) to .97 (for Profile 5). All these probabilities were above the cut-off criterion of .80 proposed by Nylund et al. (2007).

Table 3.

Fit Indicators of the LPA (n = 16,885).

Profile n°	Log-Likelihood	# Free Parameters	AIC	BIC	SSA-BIC	LMR-LRT	BLRT (p)	Entropy
1	−95,826.01	8	191,668.03	191,729.90	191,704.48	—	—	—
2	−74,241.40	13	148,508.80	148,609.35	148,568.03	.000	.000	0.97
3	−66,222.11	18	132,480.22	132,619.44	132,562.23	.000	.000	0.95
4	−62,747.40	23	125,540.80	125,718.68	125,645.59	.000	.000	0.92
5	−61,210.04	28	122,476.09	122,692.64	122,603.66	.000	.000	0.90
6	−60,021.76	33	120,109.52	120,364.75	120,259.88	.005	.000	0.91

Note. AIC = Akaike information criterion; BIC = Bayesian information criterion; SSA-BIC = sample-size adjusted BIC; LMR-LRT = Lo-Mendel-Rubin adjusted likelihood ratio; BLRT = bootstrap likelihood ratio test.

In Table 4 and Figure 1, a characterization of the five profiles can be found. All profiles differed on all PB dimensions. Profile one was composed of around 61% of the sample and comprised parents who were Fulfilled and had scores lower than the mean in all four dimensions. Profile 2, No parental burnout, comprised around 22% of the sample. Parents had scores around the mean. Profile three was characterized by Low risk of parental burnout (around 10% of the sample). Profile four aggregated 5% of parents who were at High risk of parental burnout, with a high score on all dimensions. Profile five was the most risky profile, consisting of the 3% of parents who had higher scores on all PB dimensions and were considered to be Burned out.

Table 4.

Profile Means for the Five-Profile Solution (n = 16,885).

	Fulfilled (n = 10246) 60.68%	No PB (n = 3770) 22.33%	Low Risk of PB (n = 1614) 9.56%	High Risk of PB (n = 788) 4.67%	Burned out (n = 467) 2.77%	F Value
Emotional exhaustion	−.61	.34	1.22	2.07	2.85	18909.72*
Contrast	−.51	.11	.99	2.04	3.45	14532.49*
Saturation	−.53	.11	1.00	2.20	3.67	27967.20*
Emotional distancing	−.48	.22	.90	1.63	3.02	6487.33*

Note. All values are standardized means. ^∗For all F-values, p < .001. All scores differ between profiles at p < .001.

Figure 1.

Graphical depiction of the mean for the five profile solution (n = 16,885).

To further validate these results, we identified the proportion of parents scoring higher than the clinical cut-off of the PBA total score (i.e., 92/138) in each profile (see Roskam et al., 2021 for further details). The first three profiles had no parents in burnout, while Profile 4 (High risk of PB) had 20.7% and Profile 5 (Burned out) had 98.8% of parents in burnout. In the total sample 3.6% of parents could be said to be in PB.

The Sociodemographic Characteristics of Parental Burnout Profiles

Details of parents in each profile according to background characteristics can be found in Appendix 1. As can be seen from Table 5, Chi-square independence tests showed that gender, number of children in the house, type of family and professional status were not independent from profile membership. Furthermore, inspecting the adjusted residuals we examined which profiles had the largest difference between the expected counts and the actual counts relative to sample size. Men were more represented in the Fulfilled profile and less represented in all remaining profiles than would be expected if their distribution was identical across all five profiles. In terms of the number of children at home, the Fulfilled profile was characterized by having more families with one child than the remaining profiles. The Fulfilled profile was also characterized by having more two-parent and multigenerational families than the remaining profiles. Finally, regarding work status, working parents were more frequent in the Fulfilled profile than would be expected in a uniform distribution of parents.

Table 5.

Background Differences in Parental Burnout Profiles.

		Fulfilled	Not in PB	Low risk of PB	High risk for PB	PB	χ²
Gender (%)	Male	54.9 (24.4)	25.2 (–14.3)	11.0 (–10.2)	5.5 (–8.2)	3.4 (–7.5)	604.32*
Gender (%)	Female	75.3 (–24.4)	15 (14.3)	5.9 (10.2)	2.5 (8.2)	1.3 (7.5)
No. of children in house (%)	1	66.5 (12.4)	19.6 (–6.6)	7.9 (–5.6)	3.9 (–4.0)	2.0 (–4.8)	219.51*
	2	59.2 (–3.0)	22.8 (1.3)	9.8 (0.9)	5.2 (2.8)	2.9 (.07)
	3 or more	51.9 (–11.3)	26.6 (6.5)	12.2 (5.8)	5.2 (1.5)	4.1 (5.0)
Type of family (%)	Two-parent	61.4 (3.5)	22.5 (0.9)	9.2 (–2.7)	4.5 (–2.4)	2.5 (–4.6)	156.70*
	Single-parent	52.6 (–6.8)	23.7 (1.3)	11.4 (2.7)	7.9 (6.3)	4.4 (3.9)
	Step-family	55.0 (–3.9)	23.5 (0.9)	12.7 (3.6)	4.8 (0.1)	4.2 (2.7)
	Multigenerational	72.8 (7.0)	15.8 (–4.5)	6.8 (–2.6)	1.7 (–4.1)	3.0 (0.3)
Professional status (%)	Working	62.0 (7.5)	22.3 (0.2)	9.1 (–4.7)	4.2 (–5.9)	2.4 (–6.9)	120.87*
Professional status (%)	Not working	54.7 (-7.5)	22.2 (–0.2)	11.8 (4.7)	6.7 (5.99	4.6 (6.9)

Note. *For all χ² values, p < .001. Values in parentheses represent the adjusted residuals. Values higher that |1.96| indicate that there are more (or less, if negative) cases in the cell than there would be if the variables were independent, adjusting for sample size. Gray cells highlight when the actual counts were higher than would be expected if the parents were distributed identically across all profiles and bold values indicate when the actual counts were lower than would be expected.

Parental Burnout Profiles in Collectivistic and Individualistic Countries

Table 6 shows the fit indices of the LPA for the different solutions. For the High COL-Low IND group, a three-profile solution was selected, whereas for the Medium COL-IND and High IND-Low COL groups a five-profile solution seemed to fit better. In Figure 2 we compare the three- and five-profile solutions for the High COL-Low IND group, showing that the profiles that emerged were rather parallel. Although the five-profile solution allowed for more refinement on each PB dimension, no PB dimension had a marked role in these profiles. We therefore used the five-profile solution for all groups of countries in the subsequent analyses.

Table 6.

Fit Indicators of the LPA (n = 16,885) According to the Levels of Individualism and Collectivism.

Profile n°	Log-likelihood	# Free Parameters	AIC	BIC	Ssabic	LMR-LRT	BLRT (p)	Entropy
High COL-low IND countries
2	−14,025.033	13	28,076.07	28,157.089	28,115.781	.001	.001	0.98
3	−12,031.119	18	24,098.24	24,210.423	24,153.227	.000	.000	0.96
4	−11,301.856	23	22,649.71	22,793.058	22,719.975	.050	.053	0.93
5	−10,874.537	28	21,805.07	21,979.582	21,890.611	.052	.054	0.93
Medium COL-IND countries
2	−26,748	13	53,521.96	53,609.325	53,568.02	.000	.000	0.98
3	−23,977.1	18	47,990.17	48,111.14	48,053.94	.000	.000	0.95
4	−22,789.5	23	45,625.07	45,779.64	45,706.55	.000	.000	0.93
5	−22,215	28	44,486.04	44,674.21	44,585.24	.000	.000	0.90
6	−21,715.7	33	43,497.41	43,719.19	43,614.32	.117	.124	0.91
Low COL-high IND countries
2	−28,749.4	13	57,524.811	57,612.34	57,571.03	.000	.000	0.97
3	−25,689.2	18	51,414.435	51,535.63	51,478.43	.000	.000	0.95
4	−24,389.4	23	48,824.708	48,979.57	48,906.48	.000	.000	0.91
5	−23,862.3	28	47,780.535	47,969.06	47,880.08	.003	.003	0.89
6	−23,442.9	33	46,951.794	47,173.98	47,069.12	.054	.057	0.89

Note. AIC = Akaike information criterion; BIC = Bayesian information criterion; SSA-BIC = sample size adjusted BIC; LMR-LRT = Lo-Mendel-Rubin adjusted likelihood ratio; BLRT = bootstrap likelihood ratio test.

Figure 2.

Comparison of the mean levels on each PB dimension for the three-and five-profile solutions for high COL-low IND countries.

Appendix 2 shows the five profiles according to each COL-IND group. Generally, the five profiles were repeated in each group of countries, i.e. a first profile comprised of most Fulfilled parents, a second profile with No parental burnout, a third profile with parents at Low risk of burnout, a fourth profile with a High risk of parental burnout and finally a fifth profile characterized by burned-out parents. The results of the mean comparisons of the dimensions in each profile between the most contrasting groups of countries, that is, the High COL-Low IND countries and the Low COL-High IND countries, are shown in Table 7. The most marked differences regularly observed in all profiles was that parents in individualistic countries had higher emotional exhaustion and higher saturation levels than parents in collectivistic countries for all profiles apart from Burned out. Additionally, parents in individualistic countries had higher levels of contrast than parents from the collectivistic countries with the exception of the High risk of PB parents. Moreover, for parents who belonged to the Burned out profile, there were only marked differences in the levels of contrast, which were particularly high for the individualistic countries. Finally, differences in emotional distancing were only observed when the risk of burnout was low or inexistent

Table 7.

Standardized Mean Levels of PB Dimensions in Each Profile Across the Two Most Contrasting Groups—High COL-Low IND Versus Low COL-High IND Countries.

	High COL-Low IND Collectivistic Countries	Low COL-High IND Individualistic Countries	Increment on the Means Between the Two Groups	t
Profile 1 (fulfilled)	n = 2594	n = 3465
Emotional exhaustion	−0.69	−0.49	.20	−22.69***
Contrast	−0.55	−0.46	.09	−12.10***
Saturation	−0.60	−0.47	.13	−21.23***
Emotional distancing	−0.55	−0.46	.09	−8.81***
Profile 2 (No PB)	n = 723	n = 1493
Emotional exhaustion	0.25	0.53	.28	−12.83***
Contrast	0.01	0.18	.17	−7.56***
Saturation	−0.05	0.20	.25	−12.01***
Emotional distancing	0.17	0.16	−.01	.36^ns
Profile 3 (low risk of PB)	n = 303	n = 673
Emotional exhaustion	0.98	1.45	.47	−11.19***
Contrast	0.77	1.17	.40	−8.33***
Saturation	0.94	1.09	.15	−3.96***
Emotional distancing	0.72	0.92	.20	−3.24***
Profile 4 (high risk of PB)	n = 90	n = 339
Emotional exhaustion	1.98	2.20	.22	−3.75***
Contrast	2.00	2.01	.01	−0.11^ns
Saturation	2.17	2.41	.24	−3.06**
Emotional distancing	1.58	1.78	.20	−1.83^ns
Profile 5 (PB)	n = 51	n = 234
Emotional exhaustion	2.76	2.92	.16	−1.81^ns
Contrast	3.34	3.57	.23	−2.33*
Saturation	3.58	3.73	.15	−1.59^ns
Emotional distancing	3.27	3.10	.17	−1.17^ns

Note. All values are standardized means. ***p < .001; **p < .01; *p < .05.

In sum, as expected, contrast was the only dimension in the Burned out parents profile to show a significant difference between individualistic and collectivistic countries. Emotional distancing was significantly lower in collectivistic than in individualistic countries in Profile 3. However, the level of emotional distancing in the collectivistic countries was higher in Profile four and Profile 5. In the latter profile, it reached the level found in individualistic countries. A similar pattern of results occurred for both saturation and emotional exhaustion. These two dimensions were lower in collectivistic than in individualistic countries in Profile four and Profile 5. Again, in these latter profile, they both reached the level found in individualistic countries.

Discussion

In this study, we aimed to go deeper into the analyses of PB profiles and examine how these profiles varied in prevalence and were shaped by different cultural contexts. Using the gold-standard measure of assessing parental burnout, the Parental Burnout Assessment (PBA) (Roskam et al., 2018), we can first highlight that PB dimensions translated into five profiles. Of these, one profile consisted of Fulfilled parents and another of parents who were not in burnout; the remaining three were more related to different expressions of PB. These expressions of PB are distinct from those found in the earlier study, probably because the PBA allows a distinction to be made between saturation and contrast, unlike the PBI (used in the earlier study). We were also able to support the validity of these profiles, given that Profile 5, Burned out parents, aggregated 99% of parents who could be said to be in clinical burnout.

Another remarkable finding is that most parents belonged to the Fulfilled profile. This profile also had a relatively high proportion of men, working parents of a single child and parents in two-parent or multigenerational families. These results are consistent with previous evidence in the field of PB. Although socio-demographic variables explained a very low part of the variance, gender-related differences previously reported mean that the high proportion of men in this profile was not surprising: most parental tasks are still performed by women worldwide, and women report higher parental stress than men (Aguiar et al., 2021; Roskam et al., 2022). Although this finding was consistent with previous studies, it was interesting to note that working outside the home was a protective factor (working parents were more frequent in the Fulfilled profile). It seems helpful for parents to have another role to focus on and perhaps to derive satisfaction and self-esteem from. Belonging to a two-parent or multigenerational family also appeared to be a protective factor, probably because more support is available in such households (i.e., the task of parenting can be shared with the partner or other family members).

In the total sample, but also in both the High COL-Low IND and the Low COL-High IND country groups, the scores in each PB facet were progressively higher from one profile to another. Although we retained the five-profile solution for all groups, we noted that a three-profile solution would also fit the data in the High COL-Low IND group. Both the three- and five-profile solution pointed to the same progressive pattern. As the internal consistency between the four scales of the PBA and between the 23 items in general was very high, it was difficult to identify profiles that were anything other than levels of burnout. However, a closer look at the values of each PB facet in the two country groups showed that the absolute value of each facet was higher in the Low COL-High IND group. For this group of countries, the absolute values for emotional exhaustion and saturation were quite high in all profiles but the last, even in the Fulfilled profile. In the Low and High risk of PB profiles, besides these two facets, emotional distancing was also much higher in the Low COL-High IND group. Although the contrast dimension was higher in all profiles except for High risk of PB, it was noteworthy that in the Burned out profile, the contrast dimension was the only one which differentiated the parents from collectivistic and individualistic countries. These results supported our hypothesis that contrast was the hallmark for burned out parents in highly individualistic countries.

Considering the mean levels of each dimension within countries and across profiles, especially between the High risk of PB and Burned out profiles, we saw that in the individualistic countries, the dimension that increased the most between these two profiles was contrast (from 2.01 to 3.57). A larger mean difference was also observed for emotional exhaustion in both collectivistic and individualistic countries. This set of findings may be considered together with previous results using the PBI in a longitudinal perspective that suggested exhaustion as a first step in the PB process across different countries (Roskam & Mikolajczak, 2021).

We hypothesized that specific dimensions would play a particular role in the two cultural groups. Although we could not confirm our predictions of different profiles for different cultural groups, we saw that being Burned out is the result of higher levels in all dimensions. However, a major increase of contrast seems to be the final sign of severe burnout, depending on the level of collectivism-individualism of the country. In the Low COL-High IND countries, the profiles were marked by the largest differences in contrast. This distinctive role of contrast seems to align with our prediction that in this type of country, as parents are more focused on their own achievement and autonomy, contrast is what increases the most in the Burned out profile. For these parents, it seems that this is the most relevant facet of the experience of burnout. Interestingly, this dimension, which is not present in the model of job burnout, emerged saliently from the testimonies of burned-out parents that were used to conceptualize parental burnout and develop the PBA. Such results are in line with previous studies that have suggested parental perfectionism as a major risk factor for parental burnout (Furutani et al., 2020; Lin et al., 2021; Sorkkila & Aunola, 2020; Stănculescu et al., 2020), and higher parental goals as a possible mediator between culture and parental burnout (Roskam et al., 2023). Our results also point in this direction. In a culture where concerns about performance and exacting standards prevail in most life domains, including parenting, feeling a contrast between the parent one is and the parent one was or wanted to be is a very salient aspect.

Our predictions regarding emotional distancing as the most relevant sign for severe burnout in High COL/Low IND countries were not supported. Emotional distancing showed an upward trend across profiles which was quite similar for both groups of countries. In Profile 4, emotional distancing was higher for Low COL/High IND countries, but in Profile five this difference was reversed, and emotional distancing was higher for High COL/Low IND countries. One methodological explanation for this finding could be that the number of participants from individualistic countries was much higher than that of participants from collectivist countries. Another explanation could be that parents’ testimonies used to conceptualize parental burnout and to develop the PBA were collected from Western parents. There may be specific facets of parental burnout in collectivist cultures that the PBA does not fully assess. Although the PBA validation has been replicated in non-Western countries, there may be specific dimensions of parental burnout that are not present in these countries, and other culture-specific dimensions may not be fully grasped by the PBA. Therefore, despite our use of a new methodological approach on these data, we could not fully discern the role of specific facets in the most collectivist countries. If this interpretation is correct, inductive research needs to be conducted in the most collectivist countries to test whether the same or other new dimensions appear in parental burnout.

These findings add to our knowledge of the structure of parental burnout across the globe and also point to important practical implications regarding how the process unfolds. For individualistic countries, contrast seems to be particularly disturbing. This disillusioned self-image may have important implications for individuals’ wellbeing, self-esteem and life satisfaction. As this is likely the result of stringent parenting norms, an effort needs to be made in these countries to change the social discourse around parenting in order to reduce parental burnout. At the same time, emotional exhaustion seems to be the first dimension of parental burnout that pushes parents into the Low risk profile and remains high in the three profiles with higher risk of burnout. Thus, a preventive approach would imply the early identification of exhausted parents. If parental burnout is the result of a chronic lack of resources to meet parenting needs, emotional exhaustion can be seen as the first sign of energy depletion.

Our predictions regarding emotional distancing were not supported. As mentioned, inductive approaches to collectivist societies may help deepen the assessment of parental burnout. The PBA is currently the best instrument for measuring parental burnout due to the use of an inductive method in its development. Nevertheless, it was developed based on the emic perspective of more individualistic cultures. It will be important to consider in future studies how to make the instrument more flexible and ensure that it encompasses the experiences of parents in collectivist cultures.

Limitations and Future Perspectives

Despite its rigor and the conclusions that can be drawn, our study is not without limitations. The first limitation is that the study lacks an outcome variable either for the parent (e.g., somatic complaints or addictive behaviors) or for the child (e.g., externalizing and internalizing behavior) to validate the profiles across all countries. Another limitation is due to the cross-sectional nature of the data, which prevented us from studying the process of PB across the five profiles. A third limitation derives from the collectivism-individualism dimension. The fact that levels of COL-IND were based on countries’ scores prevented us from making inferences about individual parents’ assessment of cultural values. By using data about individuals’ endorsement of cultural values, we could combine the country level of COL-IND with individual assessments and disentangle the distinct effects of these two layers of social influence. A fourth limitation is the instrument used for assessing PB. Although the evidence for its psychometric properties is consistent even in collectivistic countries, the PBA is based on the views and experiences of parents from more individualistic cultures.

Finally, the sample was potentially biased both because the number of mothers was higher than the number of fathers, and because the number of parents was higher in Low COL-High IND than in High COL-Low IND countries. It is noteworthy that, despite these limitations, a great diversity of countries was included in the study, which allowed us to further explore the links between collectivism-individualism and parental burnout profiles, highlighting the role of different PB facets across countries.

Conclusions

The analyses performed in this study underscore the relevance of addressing parental burnout in its different facets. Our findings draw attention to the role of contrast in PB experiences, especially in more individualistic countries. However, the experience of parents in collectivistic countries includes facets that are not yet fully understood or covered by the available instruments. These reinforce the relevance of studying cultural aspects in the parenting experience and considering the cultural mediators of PB. In addition, given the negative consequences that pressure on parents to perform seems to entail, more awareness is needed in social discourses and social policies of the harmful effects of this pressure on parenting. In parallel, our findings may help initiate meaningful conversations about parental burnout facets and measurement in collectivistic countries, deepening our emic approach to this phenomenon which is less endemic in collectivistic cultures; this in turn may make it possible to encompass the complexities of parenting experiences more comprehensively.

Footnotes

Appendix 1: Characterization of parents in each parental burnout profile

To increase our understanding of the link between profiles and background characteristics, bias in the distribution of profiles according to parents’ gender, age, educational level, professional status, number and age of children living in the household, and type of family were tested (Table A1 and A2).

Men were more represented in the “Fulfilled” profile and were less represented in all remaining profiles. The “Fulfilled” profile is also characterized by having more two parents and multigenerational families and having only one child living in the household. Parents in this profile tend to be working, are younger, and less educated, and their younger children are the oldest when compared with the remaining profiles. Also, parents in this profile tend to spend less time with their children daily.

The “Low risk”, “High Risk” and “Burned out” profiles are characterized by having a higher number of single-parent families and by not having a paid professional activity. The “Low risk of PB” and “Burned out” parents also have more children living in the household (3 or more) and are part of stepfamilies at a higher degree.

The profile of “No PB” is further characterized by having three or more children living in the household, not having a multigenerational type of family, being younger than the “Low risk” and “High risk of PB” and spending a less number of hours per day with their children than the “High risk” and “Burned out” profiles.

Table A1.

Background differences in parental burnout profiles.

		Fulfilled	No PB	Low risk of PB	High risk for PB	PB	χ²
Gender (%)	Male	54.9 (24.4)	25.2 (-14.3)	11.0 (-10.2)	5.5 (-8.2)	3.4 (-7.5)	604.32*
Gender (%)	Female	75.3	15	5.9	2.5	1.3
Nr of children in house (%)	1	66.5 (12.4)	19.6 (-6.6)	7.9 (-5.6)	3.9 (-4.0)	2.0 (-4.8)	219.51*
	2	59.2 (-3.0)	22.8 (1.3)	9.8(0.9)	5.2(2.8)	2.9 (.07)
	3 or more	51.9 (-11.3)	26.6 (6.5)	12.2 (5.8)	5.2 (1.5)	4.1 (5.0)
Type of family (%)	Two parent	61.4 (3.5)	22.5 (0.9)	9.2 (-2.7)	4.5 (-2.4)	2.5 (-4.6)	156.70*
	Single parent	52.6 (-6.8)	23.7 (1.3)	11.4 (2.7)	7.9 (6.3)	4.4 (3.9)
	Step family	55.0 (-3.9)	23.5 (0.9)	12.7 (3.6)	4.8 (0.1)	4.2 (2.7)
	Multigenerational	72.8 (7.0)	15.8 (-4.5)	6.8 (-2.6)	1.7 (-4.1)	3.0 (0.3)
Professional status (%)	Working	62.0 (7.5)	22.3 (0.2)	9.1 (-4.7)	4.2 (-5.9)	2.4 (-6.9)	120.87*
Professional status (%)	Not working	54.7	22.2	11.8	6.7	4.6

Note: ∗For all χ² values, p < .001. Values in brackets represent the adjusted residuals. Values higher than |1.96| indicate that there are more (or fewer) cases in the cell than if the variables were independent.

Grey cells highlight when the distribution is higher than expected, and bold values indicate when the distribution is lower than expected if the variables were independent.

Appendix 2: Characterization of Parental Burnout profiles according to each individualism group of countries

Table A2.

Background differences in parental burnout profiles.

	Fulfilled	No PB	Low risk of PB	High risk for PB	PB	F-value*	Bonferroni pairwise comparisons
Age M (SD)	40.09 (9.35)	37.86 (7.85)	37.06 (7.62)	36.51 (7.28)	37.5 (8.71)	93.52	1<2,3,4,5 2<3,4
Educational Level M (SD)	14.51 (4.49)	15.71 (3.89)	15.80 (3.93)	15.99 (3.42)	15.41 (3.85)	85.40	1<2,3,4,5
Age of the oldest child M (SD)	11.25 (8.76)	9.03 (7.41)	8.64 (7.15)	8.48 (6.78)	9.41 (7.62)	83.77	1>2,3,4,5
Age of the youngest child M (SD)	7.48 (6.71)	5.54 (5.69)	4.98 (5.3)	4.96 (5.31)	5.16 (5.98)	88.23	1>2,3,4,5
Nr hours w. children/day M (SD)	6.94 (4.73)	7.49 (5.02)	7.77 (5.35)	8.23 (5.40)	8.26 (5.79)	29.08	1<2,3,4,5 2<4,5

Note: ∗For all F-values, p < .001

On the next table the prevalence of each profile according to the level of countries collectivism-individualism can be found. The High COL-Low IND and Low COL-High IND groups show an opposite pattern. There are more parents on the fulfilled profile than expected in the High COL-Low IND countries and more parents on all other profiles in the Low COL-High IND group of countries. For the Medium COL-IND group the distribution across the five profiles is according to expected in a random distribution. Table A3.

Profile means for the five-profile solution according to each individualism group.

	Fullfilled	No PB	Low risk of PB	High risk of PB	PB
High COL-Low IND	n=2594 68.97%	n=723 19.22%	n=303 8.06%	n=90 2.39%	n=51 1.36%	F value
Emotional Exhaustion	-0.69	0.25	0.98	1.98	2.76	3388.75
Contrast	-0.55	0.01	0.77	2.00	3.34	3029.57
Saturation	-0.60	-0.05	0.94	2.17	3.58	5160.51
Emotional Distancing	-0.55	0.17	0.72	1.58	3.27	1213.64
Medium COL- IND	n=3810 62.17%	n=1300 21.21%	n=572 9.33%	n=300 4.90%	n=146 2.38%	F value
Emotional Exhaustion	-0.63	0.29	1.18	2.06	2.91	6814.40
Contrast	-0.51	0.19	1.11	2.22	3.38	5022.23
Saturation	-0.53	0.13	1.00	2.20	3.74	10811.68
Emotional Distancing	-0.47	0.23	0.95	1.63	2.95	2049.77
Low COL-High IND	n=3465 55.58%	n=1493 24.07%	n=673 10.85%	n=339 5.46%	n=234 3.77%	F value
Emotional Exhaustion	-0.49	0.53	1.45	2.20	2.92	7649.63
Contrast	-0.46	0.18	1.17	2.01	3.57	5691.58
Saturation	-0.47	0.20	1.09	2.41	3.73	10177.32
Emotional Distancing	-0.46	0.16	0.92	1.78	3.10	3351.39

Note: All values are standardized means.

∗For all F-values, p < .001. All scores differ per row at p < .001

Table A4.

Parental burnout profiles and COL-IND groups (%).

	Fulfilled	No PB	Low risk of PB	High risk of PB	PB	χ²
High COL-Low IND	69.0 (11)	19.2 (-4.4)	8.1 (-3.7)	2.4 (-7.2)	1.4 (-5.7)	219.56*
Medium COL- IND	62.2 (1.7)	21.2 (-1.5)	9.3 (-1.0)	4.9 (1.7)	2.4 (-1.8)
Low COL-High IND	55.9 (-11.3)	24.1 (5.4)	10.8 (4.2)	5.5 (4.5)	3.8 (6.8)

Note: ∗For all χ² values, p < .001. Values in brackets represent the adjusted residuals. Values higher than |1.96| indicate that there are more (or fewer) cases in the cell than there would be if the variables were independent. Grey cells highlight when the distribution is higher than expected, and bold values indicate when the distribution is lower than expected if the variables were independent.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Fundação para a Ciência e a Tecnologia under grant FCTUIDB/00050/2020.

Correction (July 2023):

Article has been updated to correct affiliations for authors Matilda Sorkkila, Elena Stănculescu and Elena Starchenkova.

ORCID iDs

Marisa Matias

Joyce Aguiar

Ege Akgun

Kaisa Aunola

Anna Brytek-Matera

Nicolas Favez

Maria Gaspar

Ogma Hatta

Sarah Le Vigouroux

Denisse Manrique-Millones

Maria Isabel Miranda-Orrego

Seyyedeh Fatemeh Mousavi

Josue Ngnombouowo Tenkue

Pablo A. Pérez-Díaz

Elena Starchenkova

Dorota Szczygiel

A. Meltem Ustundag-Budak

Moira Mikolajczak

Isabelle Roskam

Author Biographies

Marisa Matias, PhD, is a Professor at the Faculty of Psychology and Educational Sciences at University of Porto and a full member of the Center for Psychology at the same university. Her research interests include gender, work-family interface and parenting.

Joyce Aguiar, PhD, is a researcher at the Centre for Research in Higher Education Policies, Portugal. Her major research interests include comparative studies, mobility, and internationalization in higher education.

Anne Marie Fontaine is an Emeritus Professor in Psychology at the University of Porto. Her main research interests have been related to Differential Psychology, Intra- individual and Intergroup differences in major life and social transitions such as school transitions, transition to adulthood, to parenthood, and Intergenerational Solidarity.

Ege Akgün, PhD, is an associate professor at Ankara University, Ankara, Turkey. Her research focuses on the parent child relationship and social-emotional development in early childhood.

Gizem Arikan, PhD, is a clinical psychologist and her research areas focus on attachment theory, parenting, traumatic stress and social media addiction. She works at Ozyegin University, Istanbul, Turkey,

Kaisa Aunola is professor of developmental psychology at the University of Jyväskylä, Finland. Her research focuses on parenting, family relations, and the role of family in children's socio-emotional and academic learning.

Elizabeth Barham is a psychologist at the Federal University of São Carlos, Brazil. She studies emotion regulation, social skills, and planning and their effects on caregiving relationships and on perceptions of work-life balance.

Wim Beyers is professor in Developmental Psychology at Ghent University in Belgium. His research focuses on adolelscent develpment, including topics on adolescents' autononomy, identity and sexuality. Recent research also focuses on important life transitions, such as transition from secundary school to university, and transition toward parenthood.

Emilie Boujut is working at the Université Paris Cité (Institut for Psychology). She focuses on adaptation to stressful situations in the fields of illness, education and work and the to mental health.

Anna Brytek-Matera, PhD, is a Professor of Medical and Health Sciences at University of Wroclaw. She is a Head of Nutritional Psychology Unit, Eat Lab and Postgraduate studies in Psychodietetics. Her research focuses on eating disorders, orthorexia nervosa and eating behaviour.

Noémie Carbonneau, PhD, is a professor at the Department of Psychology, Université du Québec à Trois-Rivières, Canada. Her primary areas of research include eating behaviors, body image, parental practices, close relationships, motivation, and well-being.

Filipa César, PhD, editorial assistant of the journal Educação, Sociedade & Culturas and works as an assistant at the Centre for Research and Intervention in Education (CIIE) at the Faculty of Psychology and Education Sciences of the University of Porto. Her research interests are motherhood, parenthood and qualitative research methods.

Bin-Bin Chen, PhD, is a Professor and Department Head in the Department of Psychology at Fudan University, China. His research interests include various aspects of family relationships and the social and emotional development of children and adolescents in Chinese contexts.

Géraldine Dorard, PhD, is an Associate Professor of psychopathology at Université Paris Cité, France. Her main areas of research are adolescent and young adult psychopathology, and adaptation to illness and disability in a family context.

Sandra Dunsmuir PhD, is Professor of Educational and Child Psychology at University College London.

Natalia Egorova is a clinical psychologist with spécialisation in individual psychotherapy and familiy and couples therapy.

Luciana Carla S. Elias PhD, is Professor of Psychology at University of São Paulo. She studies social skills, school psychology, school inclusion anda learning difficulties.

Nicolas Favez is full professor of clinical psychology at the University of Geneva, Switzerland, and is Co-Director of the Research Unit of the Center for Family Study (IUP, Lausanne University Hospital). His research activities and teaching relate to family and couples relations, with a focus on the transition to parenthood.

Heather M. Foran is a full professor of psychology at the University of Klagenfurt, Austria. She is chair of the university Public research cluster and a licensed clinical psychologist. Her research interests are in prevention of mental health problems and family violence.

Furutani K. Ph.D, is Professor of faculty of Informatics at Kansai University.

Myrna Gannagé is full professor of clinical psychology at St Joseph’s University in Beirut and Dean of the Faculty of Letters and Human Sciences at the same University. She is the Founder and Executive Director of the Psychological Consultation Centers for the Welfare of War Children in Lebanon, the first specialized outpatient units for children who had suffered from the war. She is the author of numerous scientific publications in the field of trauma.

Maria Filomena Ribeiro da Fonseca Gaspar is Associate Professor at the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Develops research activities and intervention in the context of parenting and co-parenting.

Lucie Godbout is a professor at Université du Québec à Trois-Rivières, Québec, Canada.

James Gross is the Ernest R. Hilgard Professor of Psychology at Stanford University, where he directs the Stanford Psychophysiology Laboratory (). His research focuses on emotion regulation, and he has ˜600 publications, which have been cited ˜200,000 times.

Ogma Hatta is a clinical and health psychologist practicing in Togo. He has a PhD in psychological and educational sciences and conducts research in the fields of clinical - health - social (family) psychology: substance use, quality of life, prosocial behaviour, parental burnout, etc.

Mai-Trang Huynh is professor, Department of Psychology, HCMC University of Education, Vietnam.

Nassima Kellou is Doctor in Clinical Psychology and na associate researcher at CRASC Oran Algérie.

Goran Knezevic is a professor of individual differences at the University of Belgrade. His research interest focuses predominantly on the structure of basic personality traits and psychotic-like experiences & behaviors.

Ljiljana Lazarević is senior research associate at the Faculty of Philosophy, University of Belgrade, Serbia. Her reserach focus is on basic personality traits and their measurement. She also studies psychosis-proneness as basic personality trait.

Sarah Le Vigouroux is associate professor of clinical and developmental psychology at the University of Nîmes. Her research focuses on inter and intra individual differences in affective dynamics.

Vanessa B R Leme PhD, is Professor of Psychology, Department of Cognition and Development at State University of Rio de Janeiro, Brazil.

Denisse Manrique-Millones, PhD, is professor at the Department of Psychology, Universidad Cientifica del Sur, Lima, Peru. Her main areas of research are family studies, positive youth development and psychological assessment.

Rosa Millones-Rivalles is professor and coordinator of the research department at the Universidad Marcelino Champagnat in Lima, Peru. Her research interests are related to socio-educational aspects of university students in the Peruvian context.

Maria Isabel Miranda-Orrego is lecturer at Pontificia Universidad Católica del Ecuador. Phd Student at Université de Bourgogne Franche-Comté UFR SLHS Unité de Recherche de Psychologie UR3188 in France. She researchs the relation between the containing function of the teams of crèches and the process of subjectivation of babies and young children in an intercultural context.

Marina Miscioscia is Assistant Professor of Dynamic Psychology at the University of Padua (Italy). Her research focuses mainly on Children and Adolescent Mental Health, Parenting (e.g.Coparenting, Desire and Intentions, Transition to Parenthood, LGBT+ parent families), Gender Identity and Transgender Health

Clara Morgades-Bamba, PhD, is a clinical psychologist and her research areas focus on mental health, wellbeing, attachment, upbringing, psychopatology, anxiety, psychosis, extremist movements and violence. She works at her health center in Spain.

Seyyedeh Fatemeh Mousavi is an associate professor in the Department of Psychology at the Women Research Center in the only single-sex university of Iran, who has been studying and researching Iranian families for more than 10 years in the field of marital interactions and parenting. She has many books and papers in various fields of Gender, Marital and Parent-child Interactions. Since 2018, she has been active as a member of IIPB consortium in the field of Parental Burnout, and now she is a member of the editorial board and responsible director of the Journal of Women and Family Studies.

Badra Moutassem-Mimouni, PhD in clinical psychology, is Professor at the University of Oran2. She is a member of the editorial board of the Revue Insaniyat. Preferred areas of research: “childhood deprived of family” “child and adolescent psychopathology”. Associate researcher at the Center for Research in Social and Cultural Anthropology, she has been the head of several projects and a member of many projects that have resulted in the publication of books (suicide, family, drugs, education, violence against women, children deprived of families, parental burnout, divorce, etc.) and has contributed, within teams, to the development of public policies (family, violence against women, strategy to combat against drugs and drug addiction, etc.). His latest publications have focused on “Parental Burnout” and on “Covid19.

Ana Muntean works at the department of social work in the West University of Timisoara, Timisoara, Romania.

Hugh Murphy is a Doctoral student at the University of Klagenfurt. He has previously working on health-related topics (International Investigation of Parental Burnout and the RISE Parenting for Lifelong Health - Young Children program). Hugh completed his master’s degree in psychology and mental health at the University of Edinburgh. Before this, he studied child mental health in University College Dublin (UCD) and, prior to this had studied Addiction Therapy in UCD. In addition, he worked for nine years as a project/support worker in the mental health and addiction sector in Ireland providing services along a continuum of care from harm reduction to rehabilitation and integration. During this time, he also worked as an addiction therapist both in a private and public capacity.

Josué Ngnombouowo Tenkue is a PhD student at the University of Yaoundé 1. His research focuses on externalized disorders, in particular Attention Deficit Hyperactivity Disorder, and bereavement support in palliative care.

Fatumo Osman is senior lecturer and associate professor in nursing at Dalarna University. Her research focuses on implementing and evaluating culturally tailored interventions for immigrant families.

Daniela Oyarce Cadiz is a clinical psychologist and has a PhD in Psychology from the Catholic Univeristy of Louvain. Her research interests are in childhood and parenting issues.

Pablo A. Pérez-Díaz holds a PhD in Psychology and Psychometrics from University College London, U.K. He is Assistant Professor and Director of the Institute of Psychology at Austral University of Chile, Campus Puerto Montt, Chile. He has researched on trait emotional intelligence, psychometrics, parental burnout, and positive youth development. He is the PI of the national Chilean research grant FONDECYT No 11230239.

Konstantinos V. Petrides is Founding Director of the London Psychometric Laboratory and the first-ever Professor of Psychometrics at UCL (the birthplace of psychometrics). He is the developer of Psychobionomy, trait emotional intelligence theory, and of the family of Trait Emotional Intelligence Questionnaires (TEIQue) that are used globally in commercial, medical, and scientific research and applications.

Céline Scola is Associate professor at Aix marseille university in Developmental psychology. Her research research concerns early interactions. She focuses on mother-child interactions and on the understanding of peer interactions.

Alessandra Simonelli is a professor of Developmental Psychopathology at the University of PAdova. Her research interest focuses predominantly on quality of the the early adult-child interactions and their influence on infant development in typical atypical and/or psychopathological conditions.

Bart Soenens is a professor in developmental psychology at Ghent University. His main research focus is on parent-child relationships and on the complex ways in which parenting affects children’s and adolescents’ psychosocial development.

Emma Sorbring is a professor of child- and youth studies at UniversityWest, Sweden, and academic supervisor at Campus Västervik. Her teaching and research focuses parenting, children and youth.

Matilda Sorkkila is a Docent (Adjunct Professor) at the University of Jyväskylä, Finland. She is specialized in the field of Psychology ofWellbeing and particularly interested in findings ways to prevent burnout across contexts.

Elena Stănculescu is a Professor at the University of Bucharest, Faculty of Psychology and Educational Sciences. Her research interests include mental health applied in educational settings, with special focus on children and adolescents well-being, teacher and parental burnout, as well risk factors and outcomes of problematic use of online communication.

Elena Starchenkova is an Associate Professor of the Faculty of Psychology at Saint Petersburg State University, Russia. Her main areas of research include occupational health, psychological stress, job burnout, parental burnout, and proactive coping behaviour.

Dorota Szczygieł, PhD, is a Lecturer at the SWPS University, Department of Psychology in Sopot, Poland. Her research focuses on emotional intelligence, emotion regulation, and parental burnout.

Mélissa Tremblay is a Doctoral student at the Université du Québec à Trois- Rivières. Her research include parental burnout, executive function, neuropsychology and child development.

Dr Ü stündağ -Budak is an adjunct Associate Professor at Bahçeşehir University. She is interested in clinical implications of AAI in her therapeutic work. Her research interest includes attachment, perinatal mental health, parenting styles, mindfulness and wellbeing. She teaches DBT skills set to improve individuals’ wellbeing and help them to acquire secure attachment strategies.

Hedwig van Bakel is endowed professor Infant Mental Health at Tilburg University in the Netherlands. Her research includes parenting, parent-infant interactions.

Lesley Verhofstadt is Associate Professor of Family Psychology at Ghent University and Director of the UGent Familylab.

Jaqueline Wendland, Full Professor of infant and perinatal clinical psychology and psychopathology at the Institute of Psychology, University Paris Cité, France. She is head of two University Specializations Diplomas on Psychology and Psychopathology of Parenthood and on Early Development and Perinatal Psychopathology. Her research focuses mainly on the parenting process in its typical and atypical aspects, particularly in situations where the parent-child interactions are exposed to psychopathological, psychosocial and/or somatic risk factors.

Moïra Mikolajczak, Ph.D., is professor at the Department of Psychology of the Université Catholoique de Louvain where she heads the Parental Burnout Research Lab with Isabelle Roskam.

Isabelle Roskam is full professor of developmental psychology at the UCLouvain, Belgium, and is Co-Director of the BParent Research Lab in the Psychological Sciences Research Institute (IPSY). Her research activities and teaching relate to child development and parenting, with a focus on externalizing behavior and parental burnout. She is with Prof. Moïra Mikolajczak the founder and leader of the International Investigation of Parental Burnout (IIPB) consortium.

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Profiles of Parental Burnout Around the Globe: Similarities and Differences Across 36 Countries

Abstract

Keywords

Cultural Variation in Parental Burnout Profiles

The Current Study

Method

Participants and Data Collection Procedure

Measures

Sociodemographic Characteristics

Parental Burnout

Collectivism-Individualism

Statistical Analyses

Results

The Parental Burnout Profiles

The Sociodemographic Characteristics of Parental Burnout Profiles

Parental Burnout Profiles in Collectivistic and Individualistic Countries

Discussion

Limitations and Future Perspectives

Conclusions

Footnotes

Appendix 1: Characterization of parents in each parental burnout profile

Appendix 2: Characterization of Parental Burnout profiles according to each individualism group of countries

Declaration of Conflicting Interests

Funding

Correction (July 2023):

ORCID iDs

Author Biographies

References