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Effects of combined dietary intervention and physical-cognitive exercise on cognitive function and cardiometabolic health of postmenopausal women with obesity: a randomized controlled trial
International Journal of Behavioral Nutrition and Physical Activity volume 21, Article number: 28 (2024)
Abstract
Background
Postmenopausal women with obesity are markedly at risk of cognitive impairment and several health issues. Emerging evidence demonstrated that both diet and exercise, particularly physical-cognitive exercise are involved in cognitive and health benefits. However, the comparative effect of diet, exercise, and combined interventions in postmenopausal women with obesity on cognition and cardiometabolic health is still lacking. Identifying the effective health promotion program and understanding changes in cardiometabolic health linking these interventions to cognition would have important medical implications. This RCT aimed to examine the effect of single and combined interventions of diet and exercise on cognitive function and cardiometabolic health in postmenopausal women with obesity.
Methods
Ninety-two postmenopausal women with obesity were randomly assigned to diet group (intermittent fasting 2 days/week, 3 months), exercise group (physical-cognitive exercise 3 days/week, 3 months), combined group, or control group (n = 23/group). All cognitive outcomes and cardiometabolic outcomes were measured at baseline and post-3 months. Primary outcomes were executive functions, memory, and plasma BDNF levels. Secondary outcomes were global cognition, attention, language domain, plasma adiponectin levels, IL-6 levels, metabolic parameters, and physical function.
Results
At the end of the 3-month intervention, the exercise and combined group demonstrated significant memory improvement which was accompanied by significant improvements in plasma BDNF level, insulin levels, HOMA-IR, %body fat, and muscle strength when compared to controls (p < 0.05). Only the combined intervention group demonstrated a significant improvement in executive function and increased plasma adiponectin levels when compared to control (p < 0.05). Surprisingly, no cognitive improvement was observed in the diet group (p > 0.05). Significant reduction in cholesterol levels was shown in the diet and combined groups when compared to controls (p < 0.05). Among the three intervention groups, there were no significant differences in all cognitive outcomes and cardiometabolic outcomes (p > 0.05). However, all three intervention groups showed significant improvements in plasma BDNF levels, weight, BMI, WHR, fat mass, and predicted VO2 max, when compared to control (p < 0.05).
Conclusion
These findings suggest that combined physical-cognitive exercise and dietary intervention are promising interventions to improve cognition and obesity-related complications of postmenopausal women with obesity.
Trial registration
NCT04768725 (https://clinicaltrials.gov) 24th February 2021.
Introduction
Globally, the prevalence of obesity in women has dramatically escalated in all ages and ethnicities [1]. Obesity has negative impacts not only on physical and cardiometabolic health but also on cognitive performance [2]. Accumulating evidence has revealed that obesity is linked to deficits in the global cognition [3] and multiple cognitive domains (e.g., executive function [3, 4], memory [5], and language domain [5]). While the mechanisms by which obese-induced cognitive decline are not well elucidated, pathophysiological changes including insulin resistance, adiponectin dysregulation, and systemic inflammation have been suggested as key mediators in the reduction of neurotrophic factors, neurogenesis, and consequently lead to cognitive impairment in obesity [3, 4, 6]. Besides the obese condition, the influence of estrogen deprivation is also associated with a reduction in cognitive performance [7]. As estrogen hormone has profound effects on neuroplasticity via the synthesis of neurotrophic factors and synaptogenesis, estrogen deprivation due to menopause could lead to cognitive impairment [7, 8]. Thus, postmenopausal women with obesity are at increased risk for cognitive impairment and health problems.
Recommendations to manage obesity are reducing caloric intake and enhancing physical activity. Intermittent fasting (IF) is one of the popular dietary interventions that promote dietary compliance, weight loss, metabolic, and health benefits [9, 10]. Moreover, emerging evidence has further demonstrated the benefits of IF on cognitive function in adults [11], and older adults with and without health conditions [12]. Nevertheless, some studies did not find cognitive improvement after IF intervention [13, 14]. The discrepancy in previous findings could be attributed to differences in the cognitive assessment, regimen of IF, and research design. Currently, clinical trials examining the effects of dietary intervention with IF method on cognitive function in postmenopausal women with obesity are limited.
Physical exercise is an effective strategy to enhance cardiovascular fitness, reduce obese-related complications, as well as improve cognitive function [15]. Among several exercise strategies that focus on cognitive benefits, a growing body of evidence has demonstrated that physical-cognitive exercise (dual-task training e.g., animal naming while performing step exercise or sequential motor-cognitive training e.g., bicycling followed by solving proverbs with missing words and letters) provides better cognitive benefits than physical exercise alone [16, 17]. The positive effects of physical-cognitive exercise on global cognition and specific cognitive domains including executive function and memory have been reported in all age groups, especially in older adults with and without cognitive impairment [18,19,20]. Few studies have investigated the effects of physical-cognitive exercise on cognition in obesity with postmenopausal condition [21]. In addition, evidence has suggested that both exercise and cognitive training are involved in the improvement of cardiometabolic health and neural mechanisms (e.g., the improvement of neurotrophic factors and neurogenesis), and may consequently lead to cognitive improvement [22,23,24].
Taken together, this study aimed to examine the effects of dietary intervention, physical-cognitive exercise, and combined intervention on cognitive function of postmenopausal women with obesity. Given the cognitive and health benefits of both dietary intervention and physical-cognitive exercise, we hypothesized that each intervention would be beneficial to postmenopausal women with obesity and the combined interventions may potentially provide additive or synergistic effects on cognitive function. To further extend the understanding of the cardiometabolic changes linking these interventions to cognition, this study also investigated the effects of diet, physical-cognitive exercise, and combined intervention on cardiometabolic outcomes of postmenopausal women with obesity. Identifying the most effective intervention to prevent or delay cognitive decline in postmenopausal women with obesity would have important clinical implications.
Materials and methods
Study design and participants
The study was a 3-month, assessor-blinded, four-arm randomized controlled trial. Permuted block randomization (random block sizes) was used to allocate all participants into four groups with a 1:1:1:1 ratio using a computer-generated random number sequence. Participants were eligible to participate if they were postmenopausal women aged between 45 and 59 years old with body mass index (BMI) ≥ 25 kg/m2 and waist-to-hip ratio (WHR) ≥ 0.80, had a sedentary lifestyle (exercise less than 1 h/week), had normal scores of Mental State Examination T10 (MSET10), and had a device that supports YouTube platform and application. Participants were considered ineligible if they had medical conditions that would limit physical exercise, had neurological conditions and depressive symptoms, had unstable body weight (weight variation greater than 5 kg in 3 months), had other dietary interventions (e.g., veganism, Mediterranean, and DASH diets), had an uncorrected hearing or visual impairment, and received hormone therapy. Written informed consent was obtained from all participants. The study protocol was approved by the Human Ethical Review Board of the primary investigator’s institution (AMSEC-63EX-102) and registered on ClinicalTrials.gov (identifier: NCT04768725). The study protocol of this trial has been published [25].
Interventions
Dietary intervention
Participants in the dietary intervention group (diet group) and combined intervention group (combined group) received a dietary program. The dietary protocol was modified from previous studies [26, 27]. The gradually reduced calorie consumption was used to facilitate adherence to diet prescription and promote metabolic and behavioral adaptation to fasting. The participants consumed a self-selected dietary intake with 25–75% of their estimated energy requirements for 2 days/week (75% of energy requirements for weeks 1–4, 50% of energy requirements for weeks 5–8, and 25% of energy requirements for weeks 9–12) and consumed ad libitum on the remaining 5 days. As for energy needs, the estimated baseline energy requirements were performed using self-reported physical activity (METs) × estimated basal metabolic rate. All food details (food types, the amount of food in each meal, and portion sizes of food) were self-recorded by the participant via a mobile phone application. Total caloric intake (kcal/day) was estimated and calculated based on the nutritive values of Thai foods, Bureau of Nutrition [28] via a mobile phone application. Before beginning the intervention, all participants were trained by a researcher to ensure that they could calculate and record their dietary intake.
Physical-cognitive exercise
Participants in the physical-cognitive exercise group (exercise group) and combined group participated in a home-based, physical-cognitive program for 60 min/day, 3 days/week for 3 months. The program consisted of 10 min for warm-up, 40 min for physical-cognitive exercise, and 10 min for cool down which was incorporated on YouTube. There were three main training sessions, which included the following: (1) physical session (moderate intensity of resistance and aerobic exercise), (2) simultaneous physical-cognitive session (challenging cognitive ability while moving upper and lower extremities), and (3) cognitive session. As for the physical part, the resistance exercise component involved major muscle groups of upper and lower extremities, using cuff weight and the participant’s body weight, while the aerobic exercise component involved aerobic dance exercise including high knee marching, cha cha cha, and two side steps. For the cognitive part, cognitive training that covered neurocognitive subdomains including attention, executive function, and memory (e.g., remembering animal pictures while moving, solving mathematical puzzle questions, listening to a short story and remembering the content of the story as much as possible while moving upper and lower extremities) were included in the program. For the progression of training, the speed of movement, the number of repetitions, the direction of movement, and the number of aerobic dance steps were used to grade the level of physical demand. Additionally, memory load, the number of stimuli, and the amount of attention were used to grade the level of cognitive demand. Prior to the home-based exercise, participants were asked to practice with a researcher and received a link to a YouTube video that consisted of instructional explanations of each session.
Combined dietary intervention and physical-cognitive exercise
Participants in the dietary and physical-cognitive intervention group (combined group) followed the dietary and physical-cognitive exercise protocol. They were instructed to exercise on ad libitum days of the dietary intervention.
Control condition
Participants in the control group were asked to continue daily routine activities and usual lifestyle behavior without any prescribed physical activity or diet.
Outcome assessments
Primary outcome measures
Subdomains of executive function including the task-switching ability and inhibiting interference were assessed by the Trail Making Test (TMT) [29] and Stroop Color and Word Test (SCWT) [30], respectively. The difference in times to complete TMT part B and part A (TMT B-A) was used to reflect the switching ability between tasks [29]. For SCWT, the number of correct answers in the word (W), color (C), and color-word (CW) conditions were used to determine the interference score (IG) following the formula: IG = CW − [(W × C)/(W + C)] [30]. A lower IG score indicates a greater difficulty in inhibiting interference. In addition, episodic memory was assessed using a logical memory test [31]. The scores of delayed recall from two short stories were collected. A higher score indicates a greater performance of memory. For plasma brain-derived nerve growth factor (BDNF) levels, a commercially available quantitative sandwich enzyme-linked immunosorbent assay (ELISA) kit was used for BDNF measurement, following standard protocols provided by the test manufacturer (ab212166, Abcam).
Secondary outcome measures
Global and specific cognitive domains including attention and language domain were assessed by the Montreal Cognitive Assessment (MoCA) test [32], the Digit Span Test [33], and the verbal fluency test [34], respectively. A higher score on the MoCA test, Digit Span Test, and fluency test indicate better cognitive performance.
For metabolic parameters, plasma total cholesterol, glucose, and triglyceride levels were assessed using colorimetric assay kits, and insulin levels using a sandwich ELISA kit. In addition, insulin resistance was calculated using the homeostasis model assessment of insulin resistance (HOMA-IR) index following the formula: HOMA-IR index = fasting glucose (mg/dL) X fasting insulin (µU/mL) / 405. In addition, plasma adiponectin and interleukin (IL)-6 levels were determined using the adiponectin human ELISA kit (KHP0041, Thermo Fisher Scientific, MA) and the IL-6 human ELISA kit (BMS213HS, Thermo Fisher Scientific, MA), respectively.
Physical fitness was measured using 6-minute walk test (6MWT) [35], muscle strength was measured using hand grip strength test for the upper extremity strength [36], and 30-second Chair Stand Test (30-s CST) for the lower extremity strength [37]. The predicted maximal oxygen consumption (VO2 max) was calculated indirectly following the equation: VO2 max (ml.kg− 1.min− 1) = 26.9 + 0.014 × Meters walked in 6MWT– 0.38 x BMI (kg/m2) [38]. In addition, body weight and body composition were measured using a bioelectrical impedance analyzer (Tanita BC-418, Tokyo, Japan).
Adherence and adverse events
To maximize the accuracy of the information, participants were instructed to record their exercise and/or their food intake in the logbook and/or the mobile application right after exercise or every fast day. A research team member made weekly contact with each participant to provide encouragement, facilitate adherence, and receive feedback. Additionally, participants were instructed to report diet- and exercise-related adverse events occurring during the study.
Sample size calculation
The sample size in this study was determined for the primary outcomes based on previous findings [39,40,41]. The smallest effect size (0.38 for plasma BDNF [41]) was chosen. With a power of 80%, 5% type I error, and 15% dropout, 92 participants (23 participants per group) were required.
Statistical analyses
Descriptive statistics were used to describe the demographic characteristics of the participants. The normality of the data was tested using the Shapiro-Wilk test. Demographic variables were compared using one-way ANOVA. Data were analyzed using the intention-to-treat (ITT) approach. The multiple imputations procedure was used for handling the missing data. ANCOVA with baseline values and education level (for cognitive outcomes) as covariates were conducted to compare the difference in outcome measures among groups. Bonferroni correction was used for post hoc pairwise comparisons. Partial eta squared values (ηp2) were reported as measures of effect size (ES) [42]. SPSS software (version 25.0, IBM Corporation, Chicago, IL, USA) was used for all statistical analyses. A significant level was set at p < 0.05, two-sided.
Results
Of 203 participants screened for eligibility, 92 were enrolled and randomly assigned to the diet, exercise, combined, or control group (23 per group). Twelve participants did not complete the study (3 in the control group, 2 in the diet group, 4 in the exercise group, and 3 in the combined group), resulting in a dropout rate of 13.04%. Mean intervention adherence over the 3 months was 88.83% for the diet group and 92.11% for the exercise group. As for the combined group, mean adherence was 87.30% for the dietary program and 93.01% for the exercise program. Adverse events were not reported by any participants. The Consolidated Standards of Reporting Trials (CONSORT) flow diagram of enrollment, allocation, intervention, and analysis is shown in Fig. 1.
Baseline characteristics of all participants
The baseline characteristics of all study participants are presented in Table 1. There is no significant difference between groups in age, education, weight, BMI, WHR, types of medicine, MSET10 score, and HADS score (Table 1).
The comparative effect of diet, physical-cognitive exercise, and combined interventions on cognitive function
The results for cognitive function (baseline and the end of 3 months) are presented in Table 2. At the post-3-month intervention, results of the ANCOVA indicated significant group effects for TMT B-A and the logical memory test. Post hoc analyses found that the combined group demonstrated a significant reduction in TMT B-A score when compared to the control group (p < 0.05, Fig. 2A). In addition, the exercise and combined group demonstrated significantly higher scores in logical memory test when compared to the control group (p < 0.05, Fig. 2B). There was no significant difference among combined, diet, and exercise groups in any cognitive outcomes (p > 0.05).
The comparative effect of diet, physical-cognitive exercise, and combined interventions on metabolic parameters and plasma biomarkers
The results for metabolic parameters and plasma biomarkers (baseline and the end of 3 months) are shown in Table 3. There were significant group effects for plasma cholesterol levels, insulin levels, HOMA-IR index, adiponectin levels, and BDNF levels at the end of the 3-month intervention. Post hoc analyses revealed that both the diet and combined intervention groups showed a significant reduction in total cholesterol levels when compared with the control group (p < 0.05, Fig. 3A), while both the exercise and combined intervention groups showed a significant reduction in insulin levels and HOMA-IR index when compared with the control group (p < 0.05, Fig. 3B, C). Only the combined intervention group showed significant elevation in plasma adiponectin levels when compared with the control group (p < 0.05, Fig. 3D). All three intervention groups (diet, exercise, and combined groups) showed significant increment in plasma BDNF levels when compared with the control group (p < 0.05, Fig. 3E). Nevertheless, there was no significant difference in plasma cholesterol levels, plasma insulin levels, HOMA-IR index, plasma adiponectin levels, and plasma BDNF levels among combined, diet, and exercise groups (p > 0.05).
The comparative effect of diet, physical-cognitive exercise, and combined interventions on body weight and body composition
The results for weight and body composition variables (baseline and the end of 3 months) are presented in Table 4. At the post-3-month intervention, results of the ANCOVA indicated significant group effects for weight, BMI, WHR, body fat percentage, and fat mass. Post hoc analyses found that participants in all three intervention groups demonstrated a significant reduction in weight, BMI, WHR, and fat mass (p < 0.05, Fig. 4A–C, E), whereas only participants in the exercise and combined intervention groups demonstrated a significant reduction in body fat percentage compared to the control group (p < 0.05, Fig. 4D). However, there was no significant difference in weight, BMI, WHR, body fat percentage, and fat mass among the three intervention groups (p > 0.05).
The comparative effect of diet, physical-cognitive exercise, and combined interventions on physical function
The results for cardiorespiratory fitness and muscle strength (baseline and at the end of 3 months) are shown in Table 5. Significant group effects for predicted maximal oxygen consumption and hand grip strength test were observed at the end of the 3-month intervention. Post hoc analyses demonstrated that while the three intervention groups showed significant improvement in predicted maximal oxygen consumption when compared with the control group (p < 0.05, Fig. 5A). Only the exercise and combined intervention groups showed greater improvements in hand grip strength when compared with the control group (p < 0.05, Fig. 5B). Nevertheless, there was no significant difference in predicted maximal oxygen consumption and grip strength among combined, diet, and exercise groups (p > 0.05).
Discussion
To the best of our knowledge, the present study is the first randomized controlled trial study to directly compare the independent and combined effects of dietary intervention and physical-cognitive exercise on cognitive function and cardiometabolic health in postmenopausal women with obesity. Findings from our study showed that after 3 months of intervention, cognitive function was unchanged in the dietary intervention group, whereas memory improvement was shown in the exercise and combined intervention groups when compared to the control group. In line with cognitive findings, improvements in insulin sensitivity and plasma BDNF levels were identified in the exercise and combined intervention groups. It is worth noting that improvement in executive function which was accompanied by elevation of plasma adiponectin levels was only demonstrated in the combined intervention group.
Promoting brain health earlier in life can contribute to a lower risk of developing cognitive impairment in later life [43]. Our findings demonstrated that memory improvement was illustrated in the exercise and combined interventions, but not dietary intervention, suggesting that physical-cognitive exercise is likely to be the driving force for memory improvement. The exercise program in the present study consisted of physical-cognitive exercise that targeted improvement in both physical health and specific cognitive domain including memory. Research evidence has demonstrated that physical-cognitive exercise positively impacts on memory-related outcomes [24, 44]. Although the mechanisms underlying the effects of physical-cognitive exercise on memory improvement have not been well understood, both animal and human studies have proposed that the alteration in supramolecular levels (e.g., mitochondrial biogenesis, neurotrophic factors, and insulin sensitivity) and structural/functional changes in the hippocampus after exercise or cognitive training, could lead to memory improvement [24, 45,46,47]. The present findings are in agreement with previous studies that found significant increases in plasma BDNF level [24] or insulin sensitivity [22, 23] along with memory improvement after physical-cognitive training. Together, these findings suggest that plasma BDNF level and insulin sensitivity might be one mechanism responsible for memory improvement following physical-cognitive exercise. The present study is one of the first to reveal this phenomenon in postmenopausal women with obesity and further suggests that physical-cognitive exercise either with or without dietary intervention was effective in improving memory.
Among the three interventional groups, only the combined intervention improved executive function as assessed by the TMT B-A. To the best of our knowledge, only one previously published study by Napoli et al. [39] investigated the independent and combined effects of dietary intervention (continuous calorie restriction) and exercise (multicomponent training) on cognitive function. They found that while neither dietary intervention nor exercise alone established the improvement in executive function, combined intervention improved executive function (measured by TMT) as compared to controls in older adults with obesity [39]. Additionally, another study by Peven et al. [48] reported that combined dietary intervention (continuous calorie restriction) with high-intensity exercise improved executive function in adults with overweight and obesity, without improvement in executive function in dietary intervention alone. Altogether, findings from previous studies and our study that improvement in executive function was demonstrated in the combined interventions but not in single dietary or exercise intervention suggest that combining both interventions might exert an additive effect on executive function.
To better understand the changes in cardiometabolic health linking the effects of diet, physical-cognitive exercise, and combined intervention to cognitive function, associated plasma biomarkers were determined in our study. The present study revealed that only the combined intervention improved plasma adiponectin levels in postmenopausal women with obesity. A systematic review and meta-analysis study demonstrated that combined dietary intervention with exercise is an effective method for increasing the concentration of adiponectin in individuals who are overweight or obese [49]. Peripheral adiponectin can cross the blood-brain barrier and act directly in the brain by modulating and signaling through adiponectin receptors which express in the cortex, hippocampus, and hypothalamus to provide neuroprotective effects [50]. Although the link between adiponectin and cognitive function, especially in the executive domain has not been well understood, a positive association between executive function and adiponectin levels in postmenopausal women with obesity was reported in a previous study [3]. To further explore this issue, an additional analysis was conducted to determine the association between change in executive function and plasma adiponectin levels from baseline to post-3-month intervention. Consistent with previous findings, Pearson’s correlation coefficient revealed that there is a positive association between executive function and plasma adiponectin levels (p = 0.047, r = 0.207). Given the multiple roles of adiponectin including metabolism control, regulation of insulin sensitivity, and stimulation of neural plasticity [50], it is possible that adiponectin may potentially be a key mediator linking the effects of combined intervention and improvement in executive function of postmenopausal women with obesity.
Apart from adiponectin, insulin sensitivity might also play a critical role in executive function. Schuur et al. [51] reported that insulin resistance is associated with a decline in executive function in women. In the present study, the HOMA-IR index in the combined intervention group changed from having insulin resistance at baseline (3.27) to normal levels (1.66) after 3 months of intervention. Therefore, the improvement in insulin sensitivity could be another potential mediator linking the effects of combined intervention and improvement in executive function in postmenopausal women with obesity.
Dietary intervention with IF has been recommended as one of several dietary intervention strategies for achieving weight loss and preventing obese-related comorbidity in individuals with overweight and obese conditions [52, 53]. The present findings that dietary intervention with IF for 3 months reduced body weight, decreased BMI, preserved fat-free mass, and attenuated cholesterol levels support previous recommendations. To date, studies investigating the effects of IF on cognitive function are limited and findings are inconclusive. For example, Kim et al. [27] reported that IF (2 days/weeks, 4 weeks) increased pattern separation, but not recognition memory in adults with obesity. Recently, a 3-year longitudinal study by Ooi et al. [53] demonstrated that regularly IF practice (2 days/weeks, 3 years) improved global cognition, attention, and memory of older adults. IF duration might partly influence cognitive changes. Further, although our study demonstrated improved weight outcomes and plasma BDNF levels, insulin sensitivity did not improve following IF. Ooi et al. [53] suggested that insulin sensitivity may be the key mediator for cognitive improvement following IF intervention. Taken together, it is posited that the relatively short duration of IF and the lack of improvement in insulin sensitivity might account for the unchanged cognitive performance of postmenopausal women with obesity in the present study. Further clinical trials with longer IF duration should be conducted to confirm this postulation.
As for physical function, several studies have documented that either dietary intervention or physical-cognitive exercise could improve physical health and reduce cardiovascular risks [10, 19]. Results from our study revealed that dietary intervention, physical-cognitive exercise, and combined intervention for 3 months increased weight loss and enhanced cardiorespiratory fitness in postmenopausal women with obesity, suggesting that all interventions are effective for weight management and promoting fitness. In addition to physical fitness, muscle strength is another important aspect of physical status. A previous study reported that grip strength is associated with the strength of the upper limb function and the general strength of the body [54]. A systematic review and meta-analysis study demonstrated the positive influence of physical-cognitive training on muscle strength including grip strength [55]. In accordance with the literature, participants who engaged in physical-cognitive exercise in the present study demonstrated a significant gain in grip strength. Nevertheless, strength gain was not observed for the lower extremity muscles as measured by the 30s-CST. It is possible that the 30s-CST, which is commonly used to assess lower extremity strength in older adults [56], might not be sensitive enough to detect changes in lower limb muscle strength in middle-aged obese women. Further studies with more sensitive measurements (e.g., isokinetic dynamometer) are warranted to confirm the study findings.
The study hypothesis was partially supported in that the combined intervention improved a wider range of cognitive subdomains (memory and executive function) than the single intervention. However, such improvement was not significantly greater than either a single exercise or dietary intervention. In addition, some secondary outcomes (global cognitive function, attention, inhibiting interference, language domain) were unchanged after the intervention. We postulated that the dose (intensity and duration) of the intervention might be suboptimal for participants who had both obesity and postmenopausal conditions. While we tried to maximize safety and adherence, the intensity and duration of the intervention in the present study may have been insufficient to exert the synergistic effects and unveil changes in some cognitive outcomes. Furthermore, effect sizes, as reflected by the partial eta-squared, of most cognitive outcomes (Table 2) indicated that the interventions had small effects. Thus, a larger sample size might be required to detect significant changes in several outcome measures.
During the intervention period, the research team delivered weekly conceived and planned instructions to promote participant engagement and ensure that they could follow the intervention protocol. It should be noted that findings in the present study were due not only to the intervention program itself but also to the intervention fidelity delivered by the research staff. It is uncertain whether the findings would have been the same without the contribution of these strategies. Thus, the external validity of the present study findings should be interpreted with caution. To implement and generalize research findings, both the intervention program and fidelity should be considered.
The main strength of this RCT study is the inclusion of 4 arms (3 intervention arms and control), which allowed systematic comparisons of single and combined dietary and exercise interventions to each other and control condition. There are several limitations in this study that need to be acknowledged. First, unsupervised, self-recorded dietary intake and exercise adherence may be subject to inaccuracies. Nevertheless, given the nature of a home-based program, this limitation is inevitable. Second, the diagnosis of menopause in the present study was clinical-based. While it is a standard method for women aged over 45 years, the evaluation of estrogen levels to confirm postmenopausal conditions was not evaluated. Third, a long-term follow-up was not determined in this study. Thus, it is unknown whether the cognitive improvement in the exercise and the combined group would be maintained over time, and it is unknown whether the stable cognitive function in the diet group would be changed afterward. Lastly, as the sample size was not calculated for the secondary outcomes, the study may have been underpowered, unable to reveal the effects of the interventions on those outcomes.
Conclusion
The combined intervention appears to improve a broader range of cognitive performance than single intervention. As the summation of health benefits in single dietary and exercise intervention was observed in the combined intervention, our results suggest that the combination of physical-cognitive exercise and dietary intervention for 3 months promotes additive effects on cognitive and health benefits of postmenopausal women with obesity. Adiponectin and insulin sensitivity could potentially serve as key mediators linking cognitive improvement in the combined intervention. Combined physical-cognitive exercise and dietary intervention is promising in improving the cognitive and physical health of postmenopausal women with obesity. However, further randomized controlled trial studies with an optimal intervention dose, long-term follow-up, and larger sample sizes are warranted to confirm the present findings.
Data availability
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- IF:
-
Intermittent fasting
- BMI:
-
body mass index
- WHR:
-
waist-to-hip ratio
- MSET10:
-
Mental State Examination T10
- TMT:
-
Trail Making Test
- W:
-
word
- C:
-
color
- CW:
-
color-word
- IG score:
-
interference score
- SCWT:
-
Stroop Color and Word Test
- ELISA:
-
enzyme-linked immunosorbent assay
- BDNF:
-
brain-derived nerve growth factor
- MoCA test:
-
the Montreal Cognitive Assessment test
- HOMA-IR index:
-
the homeostasis model assessment of insulin resistance index
- IL-6:
-
interleukin-6
- 6MWT:
-
6-minute walk test
- 30-s CST:
-
30-second Chair Stand Test
- VO2 max:
-
maximal oxygen consumption
- ITT:
-
intention-to-treat
- HADS:
-
Hospital Anxiety and Depression Scale
References
Boutari C, Mantzoros CS. A 2022 update on the epidemiology of obesity and a call to action: as its twin COVID-19 pandemic appears to be receding, the obesity and dysmetabolism pandemic continues to rage on. Metabolism. 2022;133:155217.
Whitmer A, Gunderson P, Barrett-Connor E, Quesenberry J, Yaffe K. Obesity in middle age and future risk of dementia: a 27 year longitudinal population based study. BMJ (Clinical Research). 2005;330(7504):1360.
De Franciscis P, Barbieri M, Leo S, Dalise AM, Sardu C, Marfella R, et al. Serum adiponectin levels are associated with worse cognitive function in postmenopausal women. PLoS ONE. 2017;12(12):e0186205.
Kaur S, Gonzales MM, Tarumi T, Villalpando A, Alkatan M, Pyron M, et al. Serum brain-derived neurotrophic factor mediates the relationship between abdominal adiposity and executive function in middle age. J Int Neuropsychol Soc. 2016;22(5):493–500.
Benito-León J, Mitchell AJ, Hernández-Gallego J, Bermejo-Pareja F. Obesity and impaired cognitive functioning in the elderly: a population-based cross-sectional study (NEDICES). Eur J Neurol. 2013;20(6):899–906.
Christensen A, Pike CJ. Menopause, obesity and inflammation: interactive risk factors for Alzheimer’s disease. Front Aging Neurosci. 2015;7(130).
Parvatha Rani, Neelambikai N. Effect of body mass index and waist hip ratio on cognitive performance in pre- and post-menopausal women. Indian J Appl Res. 2018;8(4):30–2.
Hara Y, Waters EM, McEwen BS, Morrison JH. Estrogen effects on cognitive and synaptic health over the lifecourse. Physiol Rev. 2015;95(3):785–807.
Harvie M, Wright C, Pegington M, McMullan D, Mitchell E, Martin B, et al. The effect of intermittent energy and carbohydrate restriction v. daily energy restriction on weight loss and metabolic disease risk markers in overweight women. Br J Nutr. 2013;110(8):1534–47.
Elortegui Pascual P, Rolands MR, Eldridge AL, Kassis A, Mainardi F, Lê KA, et al. A meta-analysis comparing the effectiveness of alternate day fasting, the 5:2 diet, and time-restricted eating for weight loss. Obes (Silver Spring). 2023;31(Suppl 1):9–21.
Alsharidah M, Murtaza G, Alsharidah M, Bashir S. Fasting in ramadan affects cognitive and physiological function in normal subjects (pilot study). Neurosci Med. 2016;07:60–5.
Boujelbane MA, Trabelsi K, Jahrami HA, Masmoudi L, Ammar A, Khacharem A, et al. Time-restricted feeding and cognitive function in sedentary and physically active elderly individuals: Ramadan diurnal intermittent fasting as a model. Front Nutr. 2022;9:1041216.
Crhová M, Kapounková K. Influence of long-term fasting and intermittent fasting on the cognitive abilities. Stud Sport. 2020;14:15–22.
Harder-Lauridsen NM, Rosenberg A, Benatti FB, Damm JA, Thomsen C, Mortensen EL, et al. Ramadan model of intermittent fasting for 28 d had no major effect on body composition, glucose metabolism, or cognitive functions in healthy lean men. Nutrition. 2017;37:92–103.
Anderson D, Seib C, Rasmussen L. Can physical activity prevent physical and cognitive decline in postmenopausal women? A systematic review of the literature. Maturitas. 2014;79(1):14–33.
Zhu X, Yin S, Lang M, He R, Li J. The more the better? A meta-analysis on effects of combined cognitive and physical intervention on cognition in healthy older adults. Ageing Res Rev. 2016;31:67–79.
Gheysen F, Poppe L, DeSmet A, Swinnen S, Cardon G, De Bourdeaudhuij I, et al. Physical activity to improve cognition in older adults: can physical activity programs enriched with cognitive challenges enhance the effects? A systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2018;15(1):63.
Campbell EB, Delgadillo M, Lazzeroni LC, Louras PN, Myers J, Yesavage J, et al. Cognitive improvement following physical exercise and cognitive training intervention for older adults with MCI. J Gerontol Biol Sci Med Sci. 2023;78(3):554–60.
Fabre C, Chamari K, Mucci P, Massé-Biron J, Préfaut C. Improvement of cognitive function by mental and/or individualized aerobic training in healthy elderly subjects. Int J Sports Med. 2002;23(6):415–21.
Guo W, Zang M, Klich S, Kawczyński A, Smoter M, Wang B. Effect of combined physical and cognitive interventions on executive functions in OLDER adults: a meta-analysis of outcomes. Int J Environ Res Public Health. 2020;17(17):6166.
Keawtep P, Wichayanrat W, Boripuntakul S, Chattipakorn SC, Sungkarat S. Cognitive benefits of physical exercise, physical-cognitive training, and technology-based intervention in obese individuals with and without postmenopausal condition: a narrative review. Int J Environ Res Public Health. 2022;19(20):13364.
Wall K, Stark J, Schillaci A, Saulnier ET, McLaren E, Striegnitz K et al. The enhanced interactive physical and cognitive exercise system (iPACES(TM) v2.0): pilot clinical trial of an in-home Ipad-based neuro-exergame for mild cognitive impairment (MCI). J Clin Med. 2018;7(9).
Anderson-Hanley C, Stark J, Wall KM, VanBrakle M, Michel M, Maloney M, et al. The interactive physical and cognitive exercise system (iPACES™): effects of a 3-month in-home pilot clinical trial for mild cognitive impairment and caregivers. Clin Interv Aging. 2018;13:1565–77.
Heisz JJ, Clark IB, Bonin K, Paolucci EM, Michalski B, Becker S, et al. The effects of physical exercise and cognitive training on memory and neurotrophic factors. J Cogn Neurosci. 2017;29(11):1895–907.
Keawtep P, Wichayanrat W, Boripuntakul S, Chattipakorn SC, Worakul P, Sungkarat S. Physical-cognitive training with dietary intervention to improve cognitive function and circulating biomarkers in postmenopausal women with obesity: study protocol for a randomized controlled trial. Adv Integr Med. 2023;10:22–8.
de Cabo R, Mattson MP. Effects of intermittent fasting on health, aging, and disease. NEJM. 2019;381(26):2541–51.
Kim C, Pinto AM, Bordoli C, Buckner LP, Kaplan PC, del Arenal IM et al. Energy restriction enhances adult hippocampal neurogenesis-associated memory after four weeks in an adult human population with central obesity; a randomized controlled trial. Nutrients [Internet]. 2020; 12(3).
The Bureau of Food., Food and Drug Administration, Ministry of Public Health of Thailand. 2018.
Tombaugh N. Trail making test A and B: normative data stratified by age and education. Arch Clin Neuropsychol. 2004;19(2):203–14.
Scarpina F, Tagini S. The Stroop Color and Word Test. Front Psychol. 2017;8:557.
Ahn YD, Yi D, Joung H, Seo EH, Lee YH, Byun MS, et al. Normative data for the logical memory subtest of the wechsler memory scale-iv in middle-aged and elderly Korean people. Psychiatry Investig. 2019;16(11):793–9.
Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.
Fink HA, Hemmy LS, MacDonald R, Carlyle MH, Olson CM, Dysken MW et al. Cognitive outcomes after cardiovascular procedures in older adults: a systematic review [internet]. Rockville (MD): Agency for Healthcare Research and Quality, Appendix D, Neuropsychological Test. 2014. Available from: https://www.ncbi.nlm.nih.gov/books/NBK285344/. (accessed 1 Feb 2021).
Delis DC, Kaplan E, Kramer JH. Delis-Kaplan Executive Function System (D-KEFS). Examiner’s Manual The Psychological Corporation. San Antonio; 2001.
ATS statement. Guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002;166(1):111–7.
Fess E, Moran C. Clinical assessment recommendations. 1st ed. Indianapolis: American Society of Hand Therapists; 1981.
Jones J, Rikli R, Beam W. A 30-s chair-stand test as a measure of lower body strength in community-residing older adults. Res Q Exerc Sport. 1999;70:113–9.
Vanhelst J, Fardy PS, Salleron J, Béghin L. The six-minute walk test in obese youth: reproducibility, validity, and prediction equation to assess aerobic power. Disabil Rehabil. 2013;35(6):479–82.
Napoli N, Shah K, Waters DL, Sinacore DR, Qualls C, Villareal DT. Effect of weight loss, exercise, or both on cognition and quality of life in obese older adults. Am J Clin Nutr. 2014;100(1):189–98.
Nouchi R, Taki Y, Takeuchi H, Sekiguchi A, Hashizume H, Nozawa T, et al. Four weeks of combination exercise training improved executive functions, episodic memory, and processing speed in healthy elderly people: evidence from a randomized controlled trial. Age (Dordr). 2014;36(2):787–99.
Dominguez-Sanchez A, Bustos-Cruz H, Velasco-Orjuela P, Quintero P, Tordecilla-Sanders A, Correa-Bautista E, et al. Acute effects of high intensity, resistance, or combined protocol on the increase of level of neurotrophic factors in physically inactive overweight adults: the BrainFit study. Front Physiol. 2018;9:741.
Richardson JTE. Eta squared and partial eta squared as measures of effect size in educational research. Educ Res Rev. 2011;6(2):135–47.
Andel R, Crowe M, Pedersen NL, Fratiglioni L, Johansson B, Gatz M. Physical exercise at midlife and risk of dementia three decades later: a population-based study of Swedish twins. J Gerontol Biol Sci Med Sci. 2008;63(1):62–6.
Rieker JA, Reales JM, Muiños M, Ballesteros S. The effects of combined cognitive-physical interventions on cognitive functioning in healthy older adults: a systematic review and multilevel meta-analysis. Front Hum Neurosci. 2022;16:838968.
Babaei P, Azari HB. Exercise training improves memory performance in older adults: a narrative review of evidence and possible mechanisms. Front Hum Neurosci. 2022;15.
Langdon KD, Corbett D. Improved working memory following novel combinations of physical and cognitive activity. Neurorehabil Neural Repair. 2012;26(5):523–32.
van Balkom TD, van den Heuvel OA, Berendse HW, van der Werf YD, Vriend C. The effects of cognitive training on brain network activity and connectivity in aging and neurodegenerative diseases: a systematic review. Neuropsychol Rev. 2020;30(2):267–86.
Peven JC, Jakicic JM, Rogers RJ, Lesnovskaya A, Erickson KI, Kang C et al. The effects of a 12-month weight loss intervention on cognitive outcomes in adults with overweight and obesity. Nutrients. 2020;12(10).
Khalafi M, Hossein Sakhaei M, Kheradmand S, Symonds ME, Rosenkranz SK. The impact of exercise and dietary interventions on circulating leptin and adiponectin in individuals who are overweight and those with obesity: a systematic review and meta-analysis. Adv Nutr. 2023;14(1):128–46.
Rizzo MR, Fasano R, Paolisso G. Adiponectin and cognitive decline. Int J Mol Sci. 2020;21(6).
Schuur M, Henneman P, van Swieten JC, Zillikens MC, de Koning I, Janssens ACJW, et al. Insulin-resistance and metabolic syndrome are related to executive function in women in a large family-based study. Eur J Epidemiol. 2010;25(8):561–8.
Guo Y, Luo S, Ye Y, Yin S, Fan J, Xia M. Intermittent fasting improves cardiometabolic risk factors and alters gut microbiota in metabolic syndrome patients. J Clin Endocr. 2020;106(1):64–79.
Ooi TC, Meramat A, Rajab NF, Shahar S, Ismail IS, Azam AA et al. Intermittent fasting enhanced the cognitive function in older adults with mild cognitive impairment by inducing biochemical and metabolic changes: a 3-year progressive study. Nutrients [Internet]. 2020;12(9).
Bohannon RW. Grip strength: an indispensable biomarker for older adults. Clin Interv Aging. 2019;14:1681–91.
Viana RB, de Oliveira VN, Dankel SJ, Loenneke JP, Abe T, da Silva WF, et al. The effects of exergames on muscle strength: a systematic review and meta-analysis. Scand J Med Sci Sports. 2021;31(8):1592–611.
Ghiotto L, Muollo V, Tatangelo T, Schena F, Rossi AP. Exercise and physical performance in older adults with sarcopenic obesity: a systematic review. Front Endocrinol (Lausanne). 2022;13:913953.
Acknowledgements
We would like to appreciate and acknowledge Research Institute for Health Sciences, Chiang Mai University, for their application support (Kin Nai Mor).
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This research was funded by the Faculty of Associated Medical Sciences, Chiang Mai University (AMS-CMU2564-01). The funding source was not involved in the design of the study, collection, analysis, and interpretation of the data; or in the decision to submit the manuscript for publication.
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PK, SB, PS, WW, SCC, PW, and SS contributed to the conception, design of the study and analysis or interpretation of the data; PK, SB, WW, PW, and SS conducted the research; PK and SS wrote the manuscript and all authors read, commented, and approved the final manuscript.
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Keawtep, P., Sungkarat, S., Boripuntakul, S. et al. Effects of combined dietary intervention and physical-cognitive exercise on cognitive function and cardiometabolic health of postmenopausal women with obesity: a randomized controlled trial. Int J Behav Nutr Phys Act 21, 28 (2024). https://doi.org/10.1186/s12966-024-01580-z
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DOI: https://doi.org/10.1186/s12966-024-01580-z