This study aimed to identify profiles of domain-specific academic achievement (Chinese, mathematics, English achievement) using latent profile analysis (LPA) and to investigate how profile membership related to later comprehensive mental health among elementary students. A total of 913 Chinese elementary students (54.0% boys, Mage = 10.52 years, SD = .94) participated in two waves of data collection, employing a 3-month time interval. LPA revealed five profiles: Moderately High Academic Achievement Across Domains, Average Academic Achievement Across Domains, Below-Average with Verbal Strength and Mathematics Weakness, Below-Average with Mathematics Strength and Verbal Weakness and Low Academic Achievement Across Domains. Profile membership differentially related to later comprehensive mental health outcomes and further revealed the crucial role of mathematics achievement in suicidal ideation among Chinese elementary students who demonstrated imbalanced achievement levels in Chinese, mathematics, and English. These findings indicated that interventions to promote optimal mental health should be customized for particular groups.
AhrnbergH.Appelqvist-SchmidlechnerK.MustonenP.FröjdS.Aktan-CollanK. (2021). Determinants of positive mental health in adolescents–A cross-sectional study on relationships between positive mental health, self-esteem, character strengths and social inclusion. International Journal of Mental Health Promotion, 23(3), 361–374. https://doi.org/10.32604/IJMHP.2021.016408
2.
ÁlvarezC.SzücsD. (2023). The relation of school achievement with self-esteem and bullying in Chilean children. Current Psychology, 42(27), 23480–23494. https://doi.org/10.1007/s12144-022-03409-z
3.
BeckA. T.SteerR. A. (1991). Manual for the beck scale for suicide ideation. Psychological Corporation.
4.
BergD. H.KlingerD. A. (2009). Gender differences in the relationship between academic self-concept and self-reported depressed mood in school children. Sex Roles, 61(7–8), 501–509. https://doi.org/10.1007/s11199-009-9652-2
5.
BridgeJ. A.GoldsteinT. R.BrentD. A. (2006). Adolescent suicide and suicidal behavior. Journal of Child Psychology and Psychiatry, 47(3–4), 372–394. https://doi.org/10.1111/j.1469-7610.2006.01615.x
6.
ChanM.SharkeyJ. D.Nylund-GibsonK.DowdyE.FurlongM. J. (2022). Social support profiles associations with adolescents’ psychological and academic functioning. Journal of School Psychology, 91, 160–177. https://doi.org/10.1016/j.jsp.2022.01.006
7.
CohenJ.BrownP.Ward-SeidelA. M. (2022). Prosocial approaches to school climate improvement: Definitions, measurement, and improvement strategies for thriving schools. In AllenK.FurlongM.Vella-BrodrickD.SuldoS. M. (Eds.), Handbook of positive psychology in schools: Supporting processes and practice (3rd ed., pp. 349–364). Routledge.
8.
Daches CohenL.KoremN.RubinstenO. (2021). Math anxiety is related to math difficulties and composed of emotion regulation and anxiety predisposition: A network analysis study. Brain Sciences, 11(12), 1609. https://doi.org/10.3390/brainsci11121609
9.
DeBeerB. B.MeyerE. C.KimbrelN. A.KittelJ. A.GulliverS. B.MorissetteS. B. (2018). Psychological inflexibility predicts of suicidal ideation over time in veterans of the conflicts in Iraq and Afghanistan. Suicide and Life-Threatening Behavior, 48(6), 627–641. https://doi.org/10.1111/sltb.12388
10.
García-CentenoM.-C.De Pablos EscobarL.Rueda-LópezN.Calderón PatierC. (2020). The impact of the introduction of bilingual learning on sixth grade educational achievement levels. PLoS One, 15(6), Article e0234699. https://doi.org/10.1371/journal.pone.0234699
11.
GearyD. C.HoardM. K.NugentL.ÜnalZ. E.ScofieldJ. E. (2020). Comorbid learning difficulties in reading and mathematics: The role of intelligence and in-class attentive behavior.Frontiers in Psychology,11, Article 572099. https://doi.org/10.3389/fpsyg.2020.572099
12.
GerberJ. P.WheelerL.SulsJ. (2018). A social comparison theory meta-analysis 60+ years on. Psychological Bulletin, 144(2), 177–197. https://doi.org/10.1037/bul0000127
13.
GreenspoonP. J.SaklofskeD. H. (2001). Toward an integration of subjective well-being and psychopathology. Social Indicators Research, 54(1), 81–108. https://doi.org/10.1023/A:1007219227883
14.
HooverS.BosticJ. (2021). Schools as a vital component of the child and adolescent mental health system. Psychiatric Services, 72(1), 37–48. https://doi.org/10.1176/appi.ps.201900575
15.
HuangC. (2015). Academic achievement and subsequent depression: A meta-analysis of longitudinal studies. Journal of Child and Family Studies, 24(2), 434–442. https://doi.org/10.1007/s10826-013-9855-6
16.
HuskyM. M.SalamonR.BitfoiA.CartaM. G.Chan CheeC.GoelitzD.KoçC.LesinskieneS.MihovaZ.OttenR.PezO.ShojaeiT.Kovess-MasfetyV. (2020). Self-reported mental health problems and performance in mathematics and reading in children across Europe. European Journal of Developmental Psychology, 17(5), 704–726. https://doi.org/10.1080/17405629.2020.1728247
17.
KeyesC. L. M. (2005). Mental illness and/or mental health? Investigating axioms of the complete state model of health. Journal of Consulting and Clinical Psychology, 73(3), 539–548. https://doi.org/10.1037/0022-006X.73.3.539
18.
KoyamaE.ZaiC. C.BryushkovaL.KennedyJ. L.BeitchmanJ. H. (2020). Predicting risk of suicidal ideation in youth using a multigene panel for impulsive aggression. Psychiatry Research, 285, Article 112726. https://doi.org/10.1016/j.psychres.2019.112726
19.
LoParoD.FonsecaA. C.MatosA. P. M.CraigheadW. E. (2024). Anxiety and depression from childhood to young adulthood: Trajectories and risk factors. Child Psychiatry and Human Development, 55(1), 127–136. https://doi.org/10.1007/s10578-022-01391-y
20.
LvB.ZhouH.GuoX.LiuC.LiuZ.LuoL. (2016). The relationship between academic achievement and the emotional well-being of elementary school children in China: The moderating role of parent-school communication. Frontiers in Psychology, 7, 948. https://doi.org/10.3389/fpsyg.2016.00948
21.
MastenA. S.ObradovićJ. (2006). Competence and resilience in development. Annals of the New York Academy of Sciences, 1094(1), 13–27. https://doi.org/10.1196/annals.1376.003
22.
MasynK. E. (2013). Latent class analysis and finite mixture modeling. In LittleT. D. (Ed.), The Oxford handbook of quantitative methods (Vol. 2, pp. 551–611). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199934898.013.0025
23.
MetsäpeltoR.-L.ZimmermannF.PakarinenE.PoikkeusA.-M.LerkkanenM.-K. (2020). School grades as predictors of self-esteem and changes in internalizing problems: A longitudinal study from fourth through seventh grade. Learning and Individual Differences, 77, 101807. https://doi.org/10.1016/j.lindif.2019.101807
24.
MeyerJ.FleckensteinJ.RetelsdorfJ.KöllerO. (2019). The relationship of personality traits and different measures of domain-specific achievement in upper secondary education. Learning and Individual Differences, 69, 45–59. https://doi.org/10.1016/j.lindif.2018.11.005
25.
MöllerJ. (2016). The generalized internal/external frame of reference model: An extension to dimensional comparison theory. Frontline Learning Research, 4(2), 1–11. https://doi.org/10.14786/flr.v4i2.169
26.
MöllerJ. (2024). Ten years of dimensional comparison theory: On the development of a theory from educational psychology. Educational Psychology Review, 36(3), 82. https://doi.org/10.1007/s10648-024-09918-6
MooreS. A.DowdyE.Nylund-GibsonK.FurlongM. J. (2019). A latent transition analysis of the longitudinal stability of dual-factor mental health in adolescence. Journal of School Psychology, 73, 56–73. https://doi.org/10.1016/j.jsp.2019.03.003
29.
MortimerJ. T.StaffJ.LeeJ. C. (2005). Agency and structure in educational attainment and the transition to adulthood. Advances in Life Course Research, 10, 131–153. https://doi.org/10.1016/S1040-2608(05)10004-5
30.
NoackLeSageF.ShaheenG. L.DavisT. E.CastagnaP. J.KaskasM. M.RyanP.LillyM. E. (2019). Predicting reading, writing, and mathematics achievement: Do anxiety and ADHD symptoms add to the variance explained by working memory and verbal reasoning alone?Current Psychology, 38(3), 792–802. https://doi.org/10.1007/s12144-017-9649-x
31.
NylundK. L.AsparouhovT.MuthénB. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A monte carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535–569. https://doi.org/10.1080/10705510701575396
32.
PagerolsM.PratR.RivasC.Español-MartínG.PuigbóJ.PagespetitÈ.HaroJ. M.Ramos-QuirogaJ. A.CasasM.BoschR. (2022). The impact of psychopathology on academic performance in school-age children and adolescents. Scientific Reports, 12(1), 4291. https://doi.org/10.1038/s41598-022-08242-9
33.
PekrunR.LichtenfeldS.MarshH. W.MurayamaK.GoetzT. (2017). Achievement emotions and academic performance: Longitudinal models of reciprocal effects. Child Development, 88(5), 1653–1670. https://doi.org/10.1111/cdev.12704
34.
PunaroL.ReeveR. (2012). Relationships between 9-year-olds’ math and literacy worries and academic abilities. Child Development Research, 2012(1), 1–11. https://doi.org/10.1155/2012/359089
35.
PutnickDiane L.HahnChun-ShinHendricksCharleneSuwalskyJoan T. D.BornsteinMarc H. (2020). Child, mother, father, and teacher beliefs about child academic competence: Predicting math and reading performance in european american adolescents. Journal of Research on Adolescence, 30(S2), 298–314. https://doi.org/10.1111/jora.12477
36.
RoismanG. I.MastenA. S.CoatsworthJ. D.TellegenA. (2004). Salient and emerging developmental tasks in the transition to adulthood. Child Development, 75(1), 123–133. https://doi.org/10.1111/j.1467-8624.2004.00658.x
37.
RoseJ. P.EdmondsK. A.BeelerC. N. (2024). Dimensional and social comparisons in a health fitness context. Journal of Behavioral Medicine, 47(1), 15–26. https://doi.org/10.1007/s10865-023-00414-w
38.
RoseT.JoeS.WilliamsA.HarrisR.BetzG.Stewart-BrownS. (2017). Measuring mental wellbeing among adolescents: A systematic review of instruments. Journal of Child and Family Studies, 26(9), 2349–2362. https://doi.org/10.1007/s10826-017-0754-0
39.
RosenbergM. (1965). Society and the adolescent self-image. Princeton University Press.
40.
RothB.BeckerN.RomeykeS.SchäferS.DomnickF.SpinathF. M. (2015). Intelligence and school grades: A meta-analysis. Intelligence, 53, 118–137. https://doi.org/10.1016/j.intell.2015.09.002
41.
SainioP. J.EklundK. M.AhonenT. P. S.KiuruN. H. (2019). The role of learning difficulties in adolescents’ academic emotions and academic achievement. Journal of Learning Disabilities, 52(4), 287–298. https://doi.org/10.1177/0022219419841567
42.
ScheerenL.BolT. (2022). Gender inequality in educational performance over the school career: The role of tracking. Research in Social Stratification and Mobility, 77, Article 100661. https://doi.org/10.1016/j.rssm.2021.100661
43.
ShanahanT.MacArthurC.GrahamS.FitzgeraldJ. (2006). Relations among oral language, reading, and writing development. Springer.
44.
SinhaP.CalfeeC. S.DelucchiK. L. (2021). Practitioner’s guide to latent class analysis: Methodological considerations and common pitfalls. Critical Care Medicine, 49(1), e63–e79. https://doi.org/10.1097/CCM.0000000000004710
45.
SongX.HuQ. (2024). The relationship between freshman students’ mental health and academic achievement: Chain mediating effect of learning adaptation and academic self-efficacy. BMC Public Health, 24(1), 3207. https://doi.org/10.1186/s12889-024-20738-9
SuldoS. M.Thalji-RaitanoA.KieferS. M.FerronJ. M. (2016). Conceptualizing high school students’ mental health through a dual-factor model. School Psychology Review, 45(4), 434–457. https://doi.org/10.17105/SPR45-4.434-457
49.
TanT. X.YiZ.CamrasL. A.ChengK.LiZ.SunY.ChenN. (2021). The effect of academic performance, individualistic and collectivistic orientation on Chinese youth’s adjustment. Social Psychology of Education, 24(5), 1209–1229. https://doi.org/10.1007/s11218-021-09650-x
50.
TianL.WangD.HuebnerE. S. (2015). Development and validation of the Brief Adolescents’ Subjective Well-Being in School Scale (BASWBSS). Social Indicators Research, 120(2), 615–634. https://doi.org/10.1007/s11205-014-0603-0
51.
TianL.ZhangL.HuebnerE. S.ZhengX.LiuW. (2016). The longitudinal relationship between school belonging and subjective well-being in school among elementary school students. Applied Research in Quality of Life, 11(4), 1269–1285. https://doi.org/10.1007/s11482-015-9436-5
52.
VisserL.LinkersdörferJ.HasselhornM.GörgenR.Gerd Schulte-KörneG. (2020). The role of ADHD symptoms in the relationship between academic achievement and psychopathological symptoms. Research in Developmental Disabilities, 97, Article 103552. https://doi.org/10.1016/j.ridd.2019.103552
53.
WangL. (2021). The analysis of mathematics academic burden for primary school students based on PISA data analysis. Frontiers in Psychology, 12,Article 600348. https://doi.org/10.3389/fpsyg.2021.600348
54.
WangY.HuebnerE. S.TianL. (2021). Parent-child cohesion, self-esteem, and academic achievement: The longitudinal relations among elementary school students. Learning and Instruction,73,Article 101467. https://doi.org/10.1016/j.learninstruc.2021.101467
55.
WangZ.RimfeldK.ShakeshaftN.SchofieldK.MalanchiniM. (2020). The longitudinal role of mathematics anxiety in mathematics development: Issues of gender differences and domain‐specificity. Journal of Adolescence, 80(1), 220–232. https://doi.org/10.1016/j.adolescence.2020.03.003
56.
WuC.AiX.LiM.CaoJ.SunY.GaoY.GongZ. (2025). Suicides in China’s scientific community: A call for a public health response. Preventive Medicine Reports, 53, Article 103054. https://doi.org/10.1016/j.pmedr.2025.103054
57.
YangC. (2022). Application of positive psychology in Chinese school contexts. In AllenK.FurlongM.Vella-BrodrickD.SuldoS. M. (Eds.), Handbook of positive psychology in schools: Supporting processes and practice (3rd ed., pp. 466–477). Routledge.
58.
Zapata-LamanaR.Sanhueza-CamposC.Stuardo-ÁlvarezM.Ibarra-MoraJ.Mardones-ContrerasM.Reyes-MolinaD.Vásquez-GómezJ.Lasserre-LasoN.Poblete-ValderramaF.Petermann-RochaF.Parra-RizoM. A.CigarroaI. (2021). Anxiety, low self-esteem and a low happiness index are associated with poor school performance in Chilean adolescents: A cross-sectional analysis. International Journal of Environmental Research and Public Health, 18(21), Article 11685. https://doi.org/10.3390/ijerph182111685
59.
ZhangJ.ChiuM. M.LeiH. (2023). Achievement, self‐concept and anxiety in mathematics and English: A three-wave cross-lagged panel study. British Journal of Educational Psychology, 93(1), 56–72. https://doi.org/10.1111/bjep.12539
60.
ZhangK.ZhouJ. (2024). Identifying precondition configurations of mathematics anxiety among middle school students in China: Using NCA and QCA approaches. Frontiers in Psychology, 15, Article 1329570. https://doi.org/10.3389/fpsyg.2024.1329570
61.
ZhouJ.JiangS.ZhuX.HuebnerE. S.TianL. (2020). Profiles and transitions of dual-factor mental health among Chinese early adolescents: The predictive roles of perceived psychological need satisfaction and stress in school. Journal of Youth and Adolescence, 49(10), 2090–2108. https://doi.org/10.1007/s10964-020-01253-7
62.
ZhouW.McLellanR. (2021). Examining social status profiles with gender, school attended, SES, academic achievement and wellbeing in urban China. Journal of Youth and Adolescence, 50(7), 1464–1477. https://doi.org/10.1007/s10964-021-01454-8
