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Abstract

Objective

This mixed-method pilot study aims to investigate the feasibility and preliminary effects of sport stacking on cognitive function in individuals with mild Alzheimer's disease (AD) and those with mild cognitive impairment (MCI).

Methods

Twenty-four community-dwelling subjects with confirmed mild AD or MCI were evenly randomly assigned to either the 12-week sport stacking intervention group (n = 12) or clinic routine management control group (n = 12). Outcome evaluation included the Auditory Verbal Learning Test (AVLT), Alzheimer's Disease Cooperative Study–Activities of Daily Living scale (ADCS-ADL), and plasma brain-derived neurotrophic factor (BDNF). A qualitative descriptive study was conducted to explore the overall perception and experience of the sport stacking from the subjects’ perspective.

Results

Twenty-two subjects completed the trial. At 12 weeks post-intervention, compared to the control group, the sport stacking group had significantly greater improvements in AVLT immediate recall (P < .001, Cohen d = .66) and an increase in plasma BDNF (P < .001, Cohen d = .64). Subgroup analysis indicated that subjects with MCI had significantly greater increases in AVLT immediate recall (P = .005, Cohen d = .72), ADCS-ADL (P = .130, Cohen d = .42) and plasma BDNF (P = .024, Cohen d = .83). Twelve subjects participating in the post-intervention interviews expressed the benefits (e.g., hand-eye coordination and faster reaction) from sport stacking and their enjoyment of it.

Conclusion

To the best of our knowledge, this is the first study indicating that sport stacking is feasible among individuals with MCI and mild AD. The preliminary effect on episodic memory is encouraging, possibly via upregulation of BDNF.

Keywords

sport stacking Alzheimer’s disease mild cognitive impairment cognition aging

Introduction

Dementia is a highly prevalent chronic condition characterized by cognitive decline and neuropsychiatric symptoms.¹ Among the various types of dementia, Alzheimer’s disease (AD) is most common among older adults.² According to Alzheimer Disease International (ADI), more than 50 million older people with AD worldwide in 2019, and this number is expected to reach 152 million by 2050,³ with the global cost of care projected as $2 trillion in 2030.⁴

One of the core treatment principles for AD is to delay the disease progression, especially when the disease is in milder and even preclinical form (i.e., mild cognitive impairment, MCI). For MCI, it is reported that 10%-15% of MCI cases will be converted to AD within the space of 12 months.^5,6 At present, it is particularly challenging to identify those persons with preclinical AD using existing clinical diagnostic techniques because behavioral symptoms are typically absent at this stage. In this situation, the best way to deal with the rising cost of health care would be to introduce low-cost, non-invasive, and objective pre-clinically applied therapeutic options. The findings of several systematic reviews converged to support the benefits of cognitive interventions in delaying cognitive decline among individuals with MCI or mild AD.⁷ However, in individuals with early AD, utilizing cognitive training alone frequently does not result in the required generalizability in the global cognitive state or functional ability.⁸ Further, there is a current shift away from single-domain interventions, like cognitive training, in favor of integrated, multi-domain strategies that could benefit brain health generally.⁹ Researchers found that people who participated in combination cognitive training programs improved the most when psychomotor training was included, to the extent that decreases in dementia-related symptoms were mostly noticed with only this additional training.¹⁰ Also, previous preliminary studies have shown that people with early AD and MCI can benefit from cognitive-motor training to increase their global cognitive scores.¹¹ According to these findings, since motor and cognitive functions are interconnected and developed in parallel and interdependently in the brain, it would be beneficial to train them simultaneously.

In recent years, the concept of gamification has been applied to integrate motor and cognitive training components to support the cognitive function of persons with preclinical and clinical dementia. Some games (including “MINWii”, “Kitchen and Cooking” and “X-Torp”; game show; SHQ, Sea Hero Quest, etc.) are also applied to reduce the risk of AD and delay its progression. The researchers showed that these games could significantly improve the global cognitive function and episodic memory of patients with cognitive impairment.^12-14 Moreover, studies have demonstrated that performing tasks, such as video game training (visuospatial/visuomotor tasks), resulted in improvements beyond simply visuospatial skills but also executive functions (eg, task switching, working memory, visual short-term memory, and reasoning).¹⁵ Researchers have also proposed that there is an “interaction of large-scale brain networks during learning with diverse training procedures”.¹⁶ All these games are highly accessible online games except for those who have barriers to the use of technology, such as people with a lower concentration, lower executive function, lower socio-economic condition, or higher technology anxiety.¹⁷

Sport stacking (cup stacking) is a new activity with game characteristics. It began in the early 1980s and has become a globally popular physical activity led by the United States and Korea.¹⁸ Participants use 3, 6, 9, and 12 specialized cups to make a pyramid with both hands (“stack up”). Then restore the cup to the original stack (“stack down”), which must be done in a predetermined order.¹⁹ Many studies held in schools showed that sport stacking was beneficial for students in many aspects, such as hand-eye coordination,²⁰ reaction time,²¹ bilateral coordination,²² and dual hemispheric brain activity.²³

In recent years, some researchers tried to apply sport stacking to stroke patients and found that it significantly improved the reaction time of stroke patients.²⁴ In Korea, some researchers applied the sport stacking to healthy older people and found it feasible and acceptable for them to join this activity. According to the surveys and interviews, most participants reported benefits from the program (improved physical, psychological, and social health) and expressed their enjoyment of the sport stacking. They also reported that they would recommend it to others in the future and were willing to participate in it for a long time.^18,25

Nevertheless, there is very limited application of sport stacking to the dementia context. The purpose of this pilot feasibility study was to explore the preliminary effects of sport stacking in persons with MCI or mild dementia (limited to AD for clinical cases). We hypothesized that sport stacking is feasible among individuals with MCI and mild AD, and it would improve their cognitive (global cognitive function, memory, executive function) and health outcomes (depression, activities of daily living).

Material and Methods

Study Design

This pilot randomized controlled trial (RCT) compared the effects of sport stacking with usual care on global cognitive function, episodic memory, executive function, depression, quality of sleep, and activities of daily living among persons with MCI and mild AD. A post-RCT interview was conducted to assess the feasibility and acceptance of the sport stacking. The study was reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Chongqing Medical University. It was conducted in compliance with the Declaration of Helsinki’s ethical standards.²⁶ It was registered on the Chinese Clinical Trial Registry: www.chictr.org.cn (Registration No.: ChiCTR2100045980). All patients provided written informed consent.

Participants

Participants were recruited through the geriatric memory clinic at the First Affiliated Hospital of Chongqing Medical University between February 2021 to May 2021. Inclusion criteria included: (1) aged 60 to 90, (2) Diagnosed by physicians as MCI or mild AD according to the modified Petersen criteria for the diagnosis of MCI,²⁷ and National Institute for Neurological and Communicative Disorders and Stroke–Alzheimer’s Disease and Related Disorders Association criteria (NINCDS-ADRDA)²⁸ respectively. The screening covered physical assessment, cognitive test, medical record review, and clinical laboratory screening; (3) at least 3 months of stable doses if receiving antidementia medication or mood-stabilizing medication; (4) had at least 1 family caregiver to live with or spend at least 4 hours a day for caregiving; (5) communicable with others and with adequate vision and hearing for social interaction; and (6) able to give informed consent. Participants were excluded from the study if they had: (1) severe psychiatric illness and the use of antidepressants; (2) participation in physical activity more than twice weekly on a regular basis; and (3) any medical condition precluding participation in the physical activity program (eg, severe neurological or medical illness and presence of several cardiovascular risk factors).

Eighty potential participants were eventually screened, and among them, twenty-four were eligible, all of them agreed to participate with a response rate of 100%. Eligible individuals were randomized in a 1:1 ratio to receive either the sport stacking or usual care based on a random sequence generated using a random number table, and the sequentially opaque numbered envelope was used to disclose the assignment.

Intervention

Sport Stacking Group

The sport stacking intervention comprised a total of 7 weekly training sessions, together with a 30-minute home-based self-practice 5 times a week. The training was conducted by an experienced instructor in the geriatric clinic who had trained by an online Speed Stacks® instructor guide video. The overall training program is outlined in Table 1. The tools of sport stacking include 12 cups, a timer, and a stacking mat. The cups were stacked upside down into each other on a table with a stacking mat. At the beginning of each trial, according to different modes of sport stacking, the cups were positioned in front of participants with different initial positions. The task consisted of 2 phases: “up-stacking” and “down-stacking”. (Figure 1) In the first lesson, all participants were taught how to stack the cups in a specific sequence with the correct technique using the lesson plans recommended in the Speed Stacks® instructor guide in the clinic.²⁹ They can choose to stand and stack cups or sit for training, depending on their condition. When participants finished their first lesson, they began the practice of sport stacking the next day at home. A family member who lived with the participants or would spend time with them every day was invited to join the sessions so that they could offer support during the home practice.

Table 1.

Sport Stacking Program for Participants.

Session	Activity
1	1^st week: “Up stacking”; “down stacking”; demonstration of 3 stacking sequences and practice of 3 stack
2	2^nd week: Demonstration of 3-3-3 stacking sequences; practice of 3-3-3 stack
3	3^rd -4^th week: Instruction on completion of the 6 stack using the “3-2-1 method”; practice of 6 stack; and “putting it all together” to practice 3-6-3 stack
4	5^th -6^th week: Putting 3-3-3 and 6 stack together to practice 3-6-3 stack
5	7^th -8^th week: Revision of 3-3-3 and 3-6-3 stack followed by 6-6 stack instruction; transition from 3-6-3 into the 6-6 stack; practice of combination of 3-6-3 and 6-6 stack
6	9^th -10^th week: Transition from 6-6 to 1-10-1 stack; “up stack” of the 10 stack (5-4-1 method); “down stack” into 3-6-3stack; practice of 10 and 1-10-1 stack
7	11^th -12^th week: Put 3-6-3, 6-6 and 1-10-1 stack together with demonstration of Cycle stack followed by practice

Figure 1.

Schematic of the cup set and cup stack. (A1) Cups in an initial position and (A2) 3-6-3 pyramids in practice and retention.

To facilitate the self-practice at home, a set of online videos showing the skills trained in all 7 sessions was provided as a reminder to guide the participants’ self-practice. A self-recording logbook was given to record participants' compliance rates. The participants were asked to record each time they finished practicing sport stacking and the duration of their daily self-practice at home. The caregivers were encouraged to assist the participants in the practice and compliance recording process. The caregivers were asked to videotape the self-practice on the first and last day of each week to the research assistant for collecting feedback. These videos could be used to check the participants' mastery of the sport stacking mode and correct their inaccuracies promptly.

Control Group

Participants in the control group received routine management from the Memory Clinic, mainly including (1) Regular medication; (2) Basic health education (medication, diet, exercise, etc.). The intervention group also received the usual care.

Outcome Evaluation

The outcomes were evaluated at 3 points, including baseline before randomization, immediately at 4 weeks, and at 12 weeks thereafter. The plasma BDNF of participants was measured at baseline and 12th week. Strenuous exercise and the training of sport stack had to be avoided in the 24 hours before blood collection. Blood was collected when participants first came to the clinic in the morning, followed by subjective assessments. The blood collection timing of every participant at baseline and follow-up was kept consistent. Primary outcomes include the feasibility and preliminary effects of sport stacking on cognitive function in individuals with MCI and mild AD. Secondary outcomes include depression mood, activities of daily living, and plasma concentration of BDNF. Data collection with the following instruments was collected at the geriatric clinic of the First Affiliated Hospital of Chongqing Medical University. The post-test data on the outcomes were gathered by the same research nurse who was blind to the group status of the participants and did not take part in the interventions.

Cognitive Function Assessment

The Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-cog)³⁰ was used to evaluate global cognition, behavior, and ability to manage daily life. The ADAS-cog, which scored 0 to 70, comprises 11 subscales. A higher score indicates poorer cognitive function. Cronbach's alpha was .91, and the scale showed satisfactory internal consistency reliability when used in the Chinese elder population.³¹

The Auditory Verbal Learning Task (AVLT)³² was used to assess their memory. The sum scores of the immediate recall trial and the delayed recall trial range from 0 to 45 and 0 to 15, respectively. It has good reliability and validity in the evaluation of episodic memory in patients with cognitive impairment.³³

The clock drawing test (CDT),³⁴ which scored 0 to 15, was used to assess executive functions. It has been widely used as a cognitive function screening tool because of its convenient operation and less influenced by the subject’s education, cultural background, and race. The CDT has good test-retest reliability, inter-rater reliability, and high levels of sensitivity and specificity for identifying cognitive decline.³⁵

Geriatric Depression Scale

The 30-item Geriatric Depression Scale (GDS-30)³⁶ was used to assess the severity of depressive symptoms. The brief statements and dichotomous response render GDS-30 an acceptable and feasible measure for depressive symptoms among the population with cognitive impairment.³⁷ Smarr and Keefer³⁸ used GDS to screen for depression with a sensitivity of .94 and a specificity of .80. The GDS-30, which scored 0 to 30, uses dichotomous questions, with high scores representing more symptoms of depression.

Activities of Daily Living Scale

The Alzheimer's Disease Cooperative Study–Activities of Daily Living scale (ADCS-ADL)³⁹ was used to assess the activities of daily living function of patients with AD and MCI. Galasko et al³⁹ found that the items comprising the ADCS-ADL had good individual sensitivity to functional decline in AD and MCI. The ADCS-ADL scores out of 78 points, with higher scores indicating better activities of daily living function.⁴⁰

ELISA Analysis of BDNF

A 5-mL blood sample was obtained by a qualified nurse from the antecubital vein to determine plasma levels of brain-derived neurotrophic factor (BDNF). The blood samples were centrifuged at 3000rpm for 15min, and plasma was isolated and kept at −80°C until the next step. The plasma levels of BDNF were measured using a human BDNF ELISA kit (Shanghai Jianglai Industrial Limited by Share Ltd., Shanghai, China).

Post-Intervention Interviews With Participants

Semi-structured individual interviews were conducted with all participants joining the sport stacking to explore the participatory experience and perception. Table 2 lists the interviewing questions. All individual face-to-face interviews were performed by the researcher at the geriatric clinic after the 12-week practice. Family caregivers were invited to support the participants in expression. When the patients' own expression ability was limited, and the sentence was repeated, it could be supplemented by their caregivers.

Table 2.

Interview Questions.

1	What do you think about sport stacking?
2	What does sport stacking do for you?
3	What is the reason why you have been practicing sport stacking?
4	What is the biggest difficulty you have encountered in the process of sport stacking for 12 weeks? How did you overcome these difficulties?
5	Can you feel the change that the sport stacking brings to you? Can you describe these changes?

Statistical Analysis

All statistical analyses were performed by IBM SPSS ver. 26.0 (IBM Corp., Armonk, USA). The Shapiro–Wilk test and the Levene test were used to determine the normality and homoscedasticity of the data. All data were expressed as mean ± standard deviation (SD). Group differences in demographics and baseline assessments were compared using the appropriate statistical tests (independent samples t test and Mann–Whitney U-test for continuous variables or Fisher's exact test for categorical variables) group. Repeated measure two-way-ANOVA was also used to examine group (sport stacking vs clinic routine management) × time (baseline vs 4 weeks and 12 weeks) interaction effects on all the outcomes. For analysis of the effects of the intervention on neurobiological outcomes both in MCI and mild AD, we performed analysis of covariance with the concentration of BDNF at follow-up as dependent variables. A Cohen d was adopted to calculate effect sizes for significant main effects, which were computed using the mean difference in the changes of outcomes from baseline to the 2 post-test endpoints compared between 2 groups. In the presence of significant effects, a multiple comparisons tests with Bonferroni’s correction were performed. A P-value of <.05 was considered statistically significant, with Bonferroni’s correction when needed, for all the analyses. As for the qualitative data, Colaizzi’s⁴¹ (1978) phenomenological method was opted. It has been widely and successfully used in health and healthcare-related research and can not only consider specific aspects of experience by identifying “essential themes”, but also briefly describe the basic structure of the experience. The 7 steps in Colaizzi’s analysis are as follows: (1) transcribing all the subjects’ descriptions; (2) extracting significant statements; (3) formulating meanings for each significant statement; (4) organizing formulated meanings into clusters or themes; (5) integrating results into exhaustive description of the phenomenon; (6) identifying the fundamental structure of the phenomenon; (7) gaining validation form participants who equate the results with their lived experience. All interviews were audio-recorded, transcribed, and then the content analyzed to identify themes. Data were categorized as acceptability of sport stacking, motivating drives for the engagement in sport stacking, and perceived therapeutic effects of sport stacking.

Results

The CONSORT statement was used to facilitate complete and transparent reporting of this trial.⁴² We started the recruitment in February 2021 and ended it in May 2021. The final follow-up visit was in August 2021. Twenty-four patients with mild AD or MCI satisfied the eligibility criteria and completed the baseline examination. The sample was composed of 11 MCI (4 males/7 females) and 13 patients with mild AD (2 males/11 females). They were randomized to receive either the intervention (n = 12) or control (n = 12). Twenty-three patients completed the 4-week follow-up, and twenty-two completed the 12-week follow-up. The flow diagram of patients through the trial and the details of dropouts are reported in Figure 2.

Figure 2.

Study flow chart.

Patient Characteristics at Baseline

The baseline characteristics of 22 participants stratified by groups are shown in Table 3. Participants were older in age (mean = 73.5, SD = 8.5). Most were married (86.4%, n = 19), and female were over-represented (77.27%) in the sample. Participants had average education years of 10.36 (SD = 3.72), and half attained a high school education or above. More than half (63.6%, n = 14) of the participants took AD medication. No significant difference was found in demographic data or baseline assessments between the 2 groups.

Table 3.

Demographics and Baseline Assessments of the Participants (n = 22).

	Control Group (n = 10)	Intervention Group (n = 12)	P Value
Female, n (%)	9 (90.0%)	8 (66.7%)	.323^a
Age (years)	76.3 ± 9.8	71.2 ± 6.9	.166^b
Education (years)	10.8 ± 4.0	10.0±3.6	.628^b
Marital status
Single/divorced/separated/widowed, n (%)	3 (30.0%)	0 (.0%)	.156^a
Married, n (%)	7 (70.0%)	12 (100.0%)	.156^a
AD medication
Yes, n (%)	7 (70.0%)	7 (58.3%)	.675^a
No, n (%)	3 (30.0%)	5 (41.7%)	.675^a
ADAS-cog score	15.8 ± 7.7	13.6 ± 7.0	.500^b
AVLT immediate recall score	15.8 ± 9.1	15.4 ± 6.5	.909^b
AVLT delay recall score	3.5 ± 3.6	2.8 ± 3.0	.639^b
CDT score	11.0 ± 4.1	11.3 ± 3.8	.722^c
ADCS-ADL score	55.5 ± 9.2	58.6 ± 8.5	.422^b
GDS-30 score	6.3 ± 2.6	6.3 ± 3.1	.968^b

Abbreviations: ADAS-cog, Alzheimer's Disease Assessment Scale– Cognitive Subscale; AVLT, Auditory Verbal Learning Test; CDT, Clock Drawing Test; ADCS-ADL, Alzheimer's Disease Cooperative Study–Activities of Daily Living scale; GDS-30, 30-item Geriatric Depression Scale; PSQI, Pittsburgh Sleep Quality Index.

^aFisher’s exact test.

^bIndependent sample t test.

^cMann–Whitney U test.

Overall Sample Analysis

The baseline and post-test outcome variables of both groups with overall samples are presented in Table 4. Referring to the rm-ANOVA analysis (Table 4), there is no significant improvement in most of the outcomes including global cognition, executive function, and activities of daily living. Participants in the intervention group showed significant improvement in AVLT immediate recall at the 12-week endpoints (between group mean difference = 8.2, 95%CI: 1.1- 15.3, P = .026; F = 11.932, P < .001, Cohen d = .66). Referring to the analysis of covariance (Figure 3), participants in the intervention group showed a significant improvement in the levels of BDNF at the 12-week endpoints (between group mean difference = 35.2, 95%CI: 18.9-62.0, F = 15.447, P < .001, Cohen d = .64).

Table 4.

Comparison in Global Cognition, Memory, Executive Function, Depression Mood, and ADL Between the Groups of Overall Patients.

Outcome variables	Mean±SD		Group effect (95%CI)		Group*Time effect		Effect size (Cohen d)
Outcome variables	Intervention group (n = 12)	Control group (n = 10)	Difference in change of score from baseline	P Value	F	P value	Effect size (Cohen d)
ADAS-cog
Baseline	13.6 ± 7.0	15.8 ± 7.7	NA	NA			NA
4-week	11.2 ± 5.8	15.8 ± 7.1	−4.6 (−10.4,1.1)	.109	1.469	.244	−.40
12-week	10.8 ± 6.2	14.8 ± 8.6	−4.0 (−10.6,2.6)	.221			−.21
AVLT immediate recall
Baseline	15.4 ± 6.5	15.8 ± 9.1	NA	NA			NA
4-week	21.3 ± 8.1	15.5 ± 7.2	5.8 (−1.1,12.7)	.093	11.932	<.001^***	.56
12-week	23.9 ± 8.3	15.7 ± 7.6	8.2 (1.1,15.3)	.026^*			.66
AVLT delay recall
Baseline	2.8 ± 3.0	3.5 ± 3.6	NA	NA			NA
4-week	4.2 ± 4.2	3.8 ± 3.0	.4 (−2.9,3.6)	.818	3.054	.058	.19
12-week	6.3 ± 4.4	4.1 ± 3.2	2.2 (−1.4,5.7)	.215			.53
CDT
Baseline	11.3 ± 3.8	11.0 ± 4.1	NA	NA			NA
4-week	12.3 ± 1.4	10.1 ± 3.3	2.2 (−.05,4.3)	.055	.987	.361	.28
12-week	11.0 ± 2.6	9.5 ± 4.1	1.5 (−1.5,4.5)	.308			.16
ADCS-ADL
Baseline	58.6 ± 8.5	55.5 ± 9.2	NA	NA			NA
4-week	58.3 ± 7.1	56.0 ± 8.5	2.3 (−4.7,9.2)	.505	.090	.846	−.12
12-week	59.3 ± 7.5	56.8 ± 8.1	2.5 (−4.4,9.5)	.455			−.05
GDS-30
Baseline	6.3 ± 3.1	6.3 ± 2.6	NA	NA			NA
4-week	6.3 ± 3.3	7.0 ± 3.5	−.8 (−3.8,2.3)	.613	1.867	.181	−.10
12-week	5.4 ± 3.0	8.3 ± 5.6	−2.9 (−6.8,1.0)	.137			−.29

Notes. Data are given as mean ± standard deviation. *p < 0.05; **p < 0.01; ***p < 0.001.

Abbreviations: ADAS-cog, Alzheimer’s Disease Assessment Scale– Cognitive Subscale; AVLT, Auditory Verbal Learning Test; CDT, Clock Drawing Test; ADCS-ADL, Alzheimer’s Disease Cooperative Study–Activities of Daily Living scale; GDS-30, 30-item Geriatric Depression Scale; PSQI, Pittsburgh Sleep Quality Index.

Figure 3.

Comparison in concentration of plasma BDNF between 2 groups of overall patients. ***P < .001.

Subgroup Analysis on Participants With MCI

Subgroup analysis was conducted for the subsample of patients with MCI (n = 12). Referring to the rm-ANOVA analysis (Table 5), participants in the intervention group showed significantly greater improvement in AVLT Immediate recall (between group mean difference = 7.4, 95%CI: .7-14.1, P = .034; F = 7.659, P = .005, Cohen d = .72) and ADCS-ADL (between group mean difference = 4.9, 95%CI: .1-9.7, P = .047; F = 2.834, P = .130, Cohen d = .42) at the 12-week endpoints. Referring to the analysis of covariance (Figure 4), participants in the intervention group showed a significant improvement in the levels of BDNF at the 12-week endpoints (between group mean difference = 50.0,95%CI: 9.5-99.5, F = 8.212, P = .024, Cohen d = .83).

Table 5.

Comparison in Global Cognition, Memory, Executive Function, Depression Mood, and ADL Between the Groups of Patients With MCI.

Outcome variables	Mean±SD		Group effect (95%CI)		Group*Time effect		Effect size (Cohen d)
Outcome variables	Intervention group (n = 6)	Control group (n = 4)	Difference in change of score from baseline	P Value	F	P value	Effect size (Cohen d)
ADAS-cog
Baseline	7.5 ± 2.0	10.4 ± 4.6	NA	NA			NA
4-week	6.1 ± 3.1	11.0 ± 4.2	−4.9 (−10.3,0.4)	.065	1.243	.315	−.37
12-week	5.6 ± 2.8	8.3 ± 4.4	−2.7 (−7.9,2.6)	.276			.06
AVLT immediate recall
Baseline	20.0 ± 3.5	23.8 ± 6.7	NA	NA			NA
4-week	26.7 ± 5.6	22.0 ± 5.9	4.7 (−3.9,13.2)	.243	7.659	.005^**	.66
12-week	30.2 ± 3.4	22.8 ± 5.9	7.4 (.7,14.1)	.034^*	7.659	.005^**	.72
AVLT delay recall
Baseline	5.0 ± 2.8	5.5 ± 3.4	NA	NA			NA
4-week	7.0 ± 3.8	5.8 ± 3.0	1.3 (−4.0,6.5)	.600	.924	.417	.24
12-week	9.3 ± 2.5	6.8 ± 2.2	2.6 (−1.0,6.2)	.134	.924	.417	.55
CDT
Baseline	14.0 ± 1.8	14.0 ± 0.8	NA	NA			NA
4-week	13.0 ± 1.5	11.8 ± 2.9	1.3 (−2.0,4.5)	.405	.275	.763	.26
12-week	11.5 ± 3.6	10.5 ± 4.5	1.0 (−4.9,6.9)	.707	.275	.763	.14
ADCS-ADL
Baseline	64.2 ± 4.4	62.5 ± 5.0	NA	NA			NA
4-week	63.7 ± 4.3	62.5 ± 5.0	1.2 (−5.6,8.0)	.702	2.834	.130	−.54
12-week	64.7 ± 3.3	59.8 ± 3.1	4.9 (.1,9.7)	.047^*	2.834	.130	.42
GDS-30
Baseline	6.2 ± 3.3	5.0 ± 1.8	NA	NA			NA
4-week	6.0 ± 3.2	4.8 ± 1.5	1.3 (−2.8,5.3)	.495	1.011	.386	.01
12-week	4.8 ± 3.2	6.0 ± 2.6	–1.2 (−5.6,3.3)	.560	1.011	.386	−.33

Notes. Data are given as mean ± standard deviation. *p < 0.05; **p < 0.01; ***p < 0.001.

Abbreviations: ADAS-cog, Alzheimer's Disease Assessment Scale– Cognitive Subscale; AVLT, Auditory Verbal Learning Test; CDT, Clock Drawing Test; ADCS-ADL, Alzheimer’s Disease Cooperative Study–Activities of Daily Living scale; GDS-30, 30-item Geriatric Depression Scale; PSQI, Pittsburgh Sleep Quality Index.

Figure 4.

Comparison in concentration of plasma BDNF between the groups of patients with MCI and mild AD. No significant differences in T-mild AD subjects between intervention and control group were found. *P < .05.

Subgroup Analysis on Participants With Mild AD

In our analysis of the global cognition, episodic memory, executive function, depression mood, sleep quality, and activities of daily living in patients with mild AD, there was no statistically significant difference between the intervention group and the control group. And there was no statistically significant difference in BDNF between the 2 groups. Table 6 and Figure 4 show the comparison between the pre- and post-measurements in the 2 groups.

Table 6.

Comparison in Global Cognition, Memory, Executive Function, Depression Mood, and ADL Between the Groups of Patients With Mild AD

Outcome variables	Mean±SD		Group effect (95%CI)		Group*Time effect		Effect size (Cohen d)
Outcome variables	Intervention group (n = 6)	Control group (n = 6)	Difference in change of score from baseline	P Value	F	P value	Effect size (Cohen d)
ADAS-cog
Baseline	19.7 ± 3.8	19.3 ± 7.5	NA	NA			NA
4-week	16.4 ± 1.4	19.3 ± 7.5	−2.7 (−9.2,3.8)	.378	1.265	.293	−.39
12-week	16.0 ± 3.4	19.1 ± 8.0	−3.2 (−11.1,4.8)	.398	1.265	.293	-.30
AVLT immediate recall
Baseline	10.8 ± 5.5	10.5 ± 6.0	NA	NA			NA
4-week	16.0 ± 6.7	11.2 ± 4.1	4.8 (−2.3,11.9)	.160	3.818	.066	.43
12-week	17.2 ± 6.7	11.0 ± 4.1	6.7 (−.5,13.8)	.065	3.818	.066	.54
AVLT delay recall
Baseline	.7 ± 1.0	2.2 ± 3.3	NA	NA			NA
4-week	1.3 ± 2.0	2.5 ± 2.3	−1.2 (−4.0,1.6)	.372	2.500	.107	.12
12-week	3.2 ± 3.7	2.3 ± 2.6	.8 (−3.2,4.9)	.658	2.500	.107	.48
CDT
Baseline	8.5 ± 3.2	9.0 ± 4.1	NA	NA			NA
4-week	11.5 ± 0.5	9.0 ± 3.3	2.5 (−.6,5.6)	.101	1.522	.247	.40
12-week	10.5 ± 1.0	8.8 ± 4.1	1.7 (−2.2,5.5)	.354	1.522	.247	.28
ADCS-ADL
Baseline	53.0 ± 8.0	50.8 ± 8.4	NA	NA			NA
4-week	52.8 ± 4.7	51.7 ± 7.6	1.2 (−7.0,9.3)	.756	.447	.646	−.10
12-week	54.0 ± 6.6	54.8 ± 10.0	−.8 (−11.8,10.1)	.869	.447	.646	−.20
GDS-30
Baseline	6.3 ± 3.3	7.2 ± 2.9	NA	NA			NA
4-week	6.5 ± 3.7	8.5 ± 3.8	−2.0 (−6.8,2.8)	.375	.774	.424	−.15
12-week	6.0 ± 2.9	9.8 ± 6.7	−3.8 (−10.5,2.8)	.228	.774	.424	−.26

Notes: Data are given as mean ± standard deviation.

Feasibility and Acceptance of the Sport Stacking

Twelve participants (6 MCI, 6 mild AD) completed semi-structured interviews. They all completed the whole 12-week training. The mean age of participants who completed the interview was 71 years, and 67% were female. There was consistency between carer and participant coding. Three themes were presented according to the Colaizzi’s seven‐step method. Table 7

Table 7.

Participants’ Perceptions of Sport Stacking Intervention.

Theme	Extracted narratives
Acceptability of sport stacking: The patient informants mentioned that sport stacking was easy to follow. It was highly accessible as they could do it at home and even during the travel. The engagement experience was described as much of fun	“I think it’s still a lot of fun to do. I Can concentrate on it all the time.” (patient with MCI, interview 8)
	“It’s not exhausting because some sports require physical exertion. And we can't take part in it if we don't have enough strength. (…) and it is very light and effortless. After you know the specific operation steps, you can play it by yourself.” (patient with MCI, interview 3)
	“I don’t have to go out to play it and just do it at home. (…) It's very simple for older people to practice and It's convenient to carry when I travel. I Can pick it up in my bag wherever I go. I Can practice anywhere. There is no environmental requirement. And I don’t need special equipment. All I need is a table. With a table, I can practice. I Think it is very good. I Like it.” (patient with MCI, interview 7)
Motivating drives for the engagement in sport stacking: Deterring the progression of cognitive impairment and preventing burdening the family member from caregiving are the major drive to motivate good compliance	“It can exercise my brain and let me use my brain more. (…) I think it’s better to practice than not to do it at all, so I insist on doing it.” (patient with AD, interview 5)
	“I think there’s something wrong with my brain, and I don't want to drag down my families, so I keep practicing.” (patient with AD, interview 6)
	“I also know that my children are for my own good. They all want me to be in good health and live a few more years. In order not to let them worry, I have been practicing.” (patient with MCI, interview 8)
	“I want to overcome this disease, so I insist on practicing. When I leave home and go outside, I always take the cups with me so that I can practice without interruption.” (patient with MCI, interview 11)
Perceived therapeutic effects of sport stacking: The patient informants described sport stacking as effective to increase their cognitive function particularly on improving their memory and reaction time, and sleep quality and to brings them a sense of improved self-concept which can promote their psychological adjustment	“I feel that my memory is better. (…) I used to be clumsy in doing things, but after insisting on practice for a period, I think my hands and feet are more flexible.” (patient with MCI, interview 2)
	“I feel better than before. If I go out, I won't go in the opposite direction. (…) and I don't have. The same inconsistency in language and thinking as before
	Also, I forget things less often than before. (…) when chatting with others, I speak more logically, not as chaotic as before.” (patient with MCI, interview 7)
	“I think sport stacking trains my fingers and keeps my hands and eyes coordinated. (…) it also. Taught me to stick to 1 thing.” (patient with MCI, interview 10)
	“My hands are getting nimble. In the past, I used my right hand more than my left 1, but now. I Use them alternately, so I feel that my left hand has become more flexible. I Felt that my hands and brain were all moving.” (patient with MCI, interview 8)
	“I think my memory is better than before, and my sleep is also better. It was not easy for me to fall asleep quickly at night in the past. Sometimes I couldn't sleep for a long time, and it was easy to wake up in the middle of the night. But since Jul this year, I feel that my sleep quality has improved. As soon as I get into bed, I fall asleep. My sleep is getting better, so I have a better appetite than before.” (patient with MCI, interview 3)

Discussion

To our best knowledge, this pilot study is the first 1 to apply sport stacking to improve the cognitive function of older people with mild cognitive impairment and mild Alzheimer’s disease. The results indicated that this intervention is highly feasible for them, even in the presence of cognitive affliction. The preliminary findings also suggested the potential of this intervention in improving the AVLT immediate recall and episodic memory, particularly among persons with MCI. The increase in plasma BDNF levels may explain the mechanism by which sport stacking enhances cognition. Although the lack of intervention effects on other cognitive domains might be related to the under-powered pilot study, the estimate of .66 effect sizes for AVLT immediate recall urges a full-scale study to identify the cognitive benefit of sport stacking in a dementia care context. This is especially true, as the qualitative inquiry identified good compliance to self-practice and perceived benefit to enhance cognitive functioning from the participants’ and caregivers’ perspectives.

The beneficial effects of sport stacking on immediate recall among persons with MCI converge with studies in which vision-based speed-of-processing training examined improving working memory.⁴³ Sport stacking is an activity that requires both hands and eyes to work together. As the participants learn a new stacking mode, they need to memorize the stacking method and then stack the cups in the prescribed order and restore them according to their memory. While stacking, hand-eye coordination is required, with the eyes determining the position and the left and right hands alternating between placing the cups appropriately or restoring them in sequence. In the process of stacking, participants are required to gradually increase their speed to improve their responsiveness to the whole process. The results of the study showed that cognitive and hand coordination activities, interactive activities for the upper and lower extremities, and trunk and functional activities could improve hand-eye coordination and have beneficial effects on the attention dimension of cognitive function, possibly delaying the decline in global cognitive function. Sport stacking can also be seen as a kind of visual-motor integration activity. Full visual-motor integration requires different extended brain regions to perceive visual stimuli and plan and execute movements. The occipital, parietal, and temporal lobes help distinguish and perceive visual stimuli. The frontal lobe facilitates the integration of sensory information and the planning of appropriate actions. The basal ganglia and cerebellum regulate muscle movement. It means that visual-motor integration training can stimulate specific brain regions to increase neuroplasticity and improve performance in everyday life. Therefore, visual-motor integration training is 1 of the most effective ways to improve cognitive function in older adults. In fact, there is more evidence to suggest the added benefit of simultaneous cognitive and exercise training,^44,45 and such work also suggested that the visual-motor integration contributed to such difference.⁴⁶

In addition to immediate recall, engagement in sport stacking was also found to improve the ADCS-ADL among the MCI subject cohort. The improved hand movement coordination and hand-eye coordination resulting from sport stacking may explain the improved function on ADL. Previous study, in fact, indicated that improved hand movement, particularly the fingers, could stimulate the motor cortex⁴⁷ in the central nervous system to improve ADL. Hand-eye coordination is almost a pre-requisite to ensure performance quality for a wide range of basic and instrumental ADL such as bathing, dressing, exercising, and writing.⁴⁸ Impaired hand-eye coordination is even found to be associated with loss of independent living in older adults.⁴⁹ As such, it is likely that the improved ADL function associated with sport stacking is related to hand-movement coordination and hand-eye coordination.

Nevertheless, sport stacking does not demonstrate similar cognitive benefits in persons with a confirmed diagnosis of mild Alzheimer’s disease. The short training duration may explain this, as this clinical cohort takes far longer to learn a new pattern of behaviors and mental challenges than those with MCI.⁵⁰ Previous studies evaluating the effects of exergame, which exposed the participants to cognitive challenges integrated with demand on physical movement, also indicated the importance of the dose of training and engagement in shaping the treatment benefits, and the positive effects were detected at 6 months after training.⁵¹ The evaluative timeframe of 3 months may be too short to allow for identifying the positive effects. By the way, optimizing the treatment effect of such more challenging activities for the clinical group may require additional strategies to enhance the skill mastery.⁵²

Another unique finding of this study was about the positive effect of 12-week sport stacking in increasing the plasma BDNF concentration among patients with MCI. BDNF is a protein related to neuronal survival and plasticity, so it protects the brain structure, which is essential for learning and memory.⁵³ The findings were consistent with those of other studies indicating the role of cognitive training on BDNF in healthy older adults, in individuals with cognitive impairment, and in schizophrenia,^54-56 and there were some initial results indicating that BDNF mediated the cognitive benefits of cognitive training.⁵⁶ Our study added to the literature by showing that sport stacking demonstrated a similar effect. Nevertheless, the pilot scale of this study limited the analytical capacity to identify the mediating effect of BDNF. Besides, sport stacking did not increase BDNF among those with mild Alzheimer’s disease. The short training period and the greater structural brain impairment may limit the physiological response to cognitive training. A more sustainable cognitive training with a progressively increase in cognitive challenge over time may result in a greater impact among this clinical cohort. A future full-scale study is needed to address this research gap.

Although the quantitative findings did not show any significant changes in the global cognition and executive function in patients with MCI and mild AD, the participants reported improved memory and better attention in the post-intervention interview after engaging in the 12-week sport stacking. Such findings reinforced the possibility that a full-scale evaluation of the cognitive benefit of sport stacking in persons with Alzheimer’s disease is needed. Indeed, the interview also identified the great feasibility and acceptance of sport stacking among this clinical cohort. More specifically, the participants enjoyed the engagement and regarded it as a game to allow individual and collaborative practice. The easy-to-follow instruction, simple equipment, free access, and no venue-related restriction rendered sport-stacking a highly acceptable day-to-day practice for persons with cognitive impairment. The accomplishment of progressively increasingly challenging steps also motivated their longer-term practice. The reported emotional benefit in alleviating loneliness and the poor mood was also crucial to support the adaptation of persons with MCI and clinical dementia to the disease process.

Even though this study is the first to examine the feasibility and preliminary cognitive benefits of sport stacking, it still has several limitations that deserve attention. Firstly, we recruited a heterogeneous sample of mild AD and MCI, for which the severity of cognitive affliction may shape the treatment effect. Secondly, the sample size is relatively small, and the inadequate sample is not appropriate to study the mediation effect of the biomarker on the relationship between sport stacking and cognitive improvement. Thirdly, the self-report method was used to assess compliance with self-practice. Finally, adequate objective quantitively measures were not used to capture the process variables (eg, frequency of self-practice, level of caregivers’ support, variation of sport stacking completion time) for evaluating feasibility.

Although our study had these limitations, it still showed the feasibility of sport stacking in older people with MCI or mild dementia. And we also found its positive effects on them. Our study provides a new method for cognitive training for patients with early stages of cognitive impairment.

Conclusion

To the best of our knowledge, this is the first study to report the effects of sport stacking on cognition in patients with MCI and mild AD. These preliminary results suggested the feasibility of sport stacking and its benefits on patients' episodic memory, possibly via upregulation of BDNF. Further clinical studies are needed to confirm the present findings and the benefits of sport stacking on physical fitness.

Footnotes

Acknowledgments

This work was supported by the geriatric memory clinic at the First Affiliated Hospital of Chongqing Medical University, the Department of Histology and Embryology and Laboratory of Stem Cell and Tissue Engineering in Chongqing Medical University, Chongqing, China. The Authors wish to acknowledge the contributions of the Department of Histology and Embryology and Laboratory of Stem Cell and Tissue Engineering in Chongqing Medical University Prof. Yong Tang and the PhD candidate Lin Zhu.

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: the Intelligent Medicine Project of Chongqing Medical University (ZHYX2019003).

ORCID iDs

Doris S. F. Yu

Fu Ding

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Effects of Sport Stacking on Cognition in Patients With Mild Alzheimer’s Disease and MCI: Preliminary Findings of Randomized Controlled Trial

Abstract

Objective

Methods

Results

Conclusion

Keywords

Introduction

Material and Methods

Study Design

Participants

Intervention

Sport Stacking Group

Control Group

Outcome Evaluation

Cognitive Function Assessment

Geriatric Depression Scale

Activities of Daily Living Scale

ELISA Analysis of BDNF

Post-Intervention Interviews With Participants

Statistical Analysis

Results

Patient Characteristics at Baseline

Overall Sample Analysis

Subgroup Analysis on Participants With MCI

Subgroup Analysis on Participants With Mild AD

Feasibility and Acceptance of the Sport Stacking

Discussion

Conclusion

Footnotes

Acknowledgments

Declaration of Conflicting Interests

Funding

ORCID iDs

References