Background: This study aimed to investigate the potential association between the combination of low physical activity and low dietary diversity with mild cognitive impairment (MCI) in older Japanese adults. Methods: Data from 600 older adults (mean age, 74.1±6.4 years; women, 62.0%) were analyzed. We evaluated dietary variety based on the Food Frequency Score (FFS; maximum 30 points) by assessing the 1-week consumption frequencies of ten foods. An FFS of ≤16 indicated low dietary diversity. We assessed MCI using the National Center for Geriatrics and Gerontology Functional Assessment Tool. Physical activity levels was determined based on participant responses to two questions: “Do you engage in moderate levels of physical exercise or sports aimed at health?” and “Do you engage in low levels of physical exercise aimed at health?” Participants who responded “No” to both questions were classified as having low physical activity levels. We classified the participants into robust, low-dietary diversity, low-physical activity, and coexistence groups. Results: The overall prevalence of MCI was 20.7%, with rates in the robust, low dietary diversity, low physical activity, and coexistence groups of 17.7%, 24.7%, 25.0%, and 41.9%, respectively. Multiple logistic regression analysis revealed that low dietary diversity and physical activity were associated with MCI in older adults (odds ratio=2.80, 95% confidence interval 1.22–6.28). Conclusion The results of the present study demonstrated the association of the co-occurrence of low dietary diversity and low physical activity with MCI. Older adults with both risk factors may require early detection, as well as physical activity and dietary interventions.

Background: This study aimed to investigate the potential association between the combination of low physical activity and low dietary diversity with mild cognitive impairment (MCI) in older Japanese adults. Methods: Data from 600 older adults (mean age, 74.1±6.4 years; women, 62.0%) were analyzed. We evaluated dietary variety based on the Food Frequency Score (FFS; maximum 30 points) by assessing the 1-week consumption frequencies of ten foods. An FFS of ≤16 indicated low dietary diversity. We assessed MCI using the National Center for Geriatrics and Gerontology Functional Assessment Tool. Physical activity levels was determined based on participant responses to two questions: “Do you engage in moderate levels of physical exercise or sports aimed at health?” and “Do you engage in low levels of physical exercise aimed at health?” Participants who responded “No” to both questions were classified as having low physical activity levels. We classified the participants into robust, low-dietary diversity, low-physical activity, and coexistence groups. Results: The overall prevalence of MCI was 20.7%, with rates in the robust, low dietary diversity, low physical activity, and coexistence groups of 17.7%, 24.7%, 25.0%, and 41.9%, respectively. Multiple logistic regression analysis revealed that low dietary diversity and physical activity were associated with MCI in older adults (odds ratio=2.80, 95% confidence interval 1.22–6.28). Conclusion The results of the present study demonstrated the association of the co-occurrence of low dietary diversity and low physical activity with MCI. Older adults with both risk factors may require early detection, as well as physical activity and dietary interventions.

Background: This study aimed to investigate the potential association between the combination of low physical activity and low dietary diversity with mild cognitive impairment (MCI) in older Japanese adults. Methods: Data from 600 older adults (mean age, 74.1±6.4 years; women, 62.0%) were analyzed. We evaluated dietary variety based on the Food Frequency Score (FFS; maximum 30 points) by assessing the 1-week consumption frequencies of ten foods. An FFS of ≤16 indicated low dietary diversity. We assessed MCI using the National Center for Geriatrics and Gerontology Functional Assessment Tool. Physical activity levels was determined based on participant responses to two questions: “Do you engage in moderate levels of physical exercise or sports aimed at health?” and “Do you engage in low levels of physical exercise aimed at health?” Participants who responded “No” to both questions were classified as having low physical activity levels. We classified the participants into robust, low-dietary diversity, low-physical activity, and coexistence groups. Results: The overall prevalence of MCI was 20.7%, with rates in the robust, low dietary diversity, low physical activity, and coexistence groups of 17.7%, 24.7%, 25.0%, and 41.9%, respectively. Multiple logistic regression analysis revealed that low dietary diversity and physical activity were associated with MCI in older adults (odds ratio=2.80, 95% confidence interval 1.22–6.28). Conclusion The results of the present study demonstrated the association of the co-occurrence of low dietary diversity and low physical activity with MCI. Older adults with both risk factors may require early detection, as well as physical activity and dietary interventions.

Background: Dementia is a critical late-life health issue that occurs among members of aging societies. This study examined the relationships between eating out, dietary diversity, and mild cognitive impairment (MCI) among community-dwelling older adults. Methods: We analyzed data from 597 older adults (median age 73.0 years, interquartile range 69.0–78.0 years; 62.6% females). We applied the food frequency score to evaluate diet variety and the weekly consumption frequencies of ten food items were determined. The National Center for Geriatrics and Gerontology Functional Assessment Tool (NCGG-FAT) was used to evaluate MCI. Finally, we asked the participants how often they ate out each month; those who replied "none" were categorized into the "non-eating out" group. Results: The overall prevalence of MCI was 122 (20.4%), with a higher prevalence in the low dietary diversity group than in the high dietary diversity group (28.6% vs. 18.6%). After adjusting for covariates, the participants who self-described as not eating out were independently associated with low dietary diversity (odds ratio [OR]=1.97, 95% confidence interval [CI] 1.20–3.20), while low dietary diversity was associated with MCI (OR=1.72; 95% CI 1.02–2.87). Structural equation models revealed that not eating out had no direct effect on MCI but was associated with MCI via low dietary diversity (root mean square error of approximation=0.030, goodness-of-fit index=0.999, and adjusted goodness-of-fit index=0.984). Conclusions Although non-eating out may not have a direct effect on MCI, an indirect relationship may exist between eating-out habits and MCI via dietary diversity status.