Background: The eating behaviors of older adults are associated with multiple factors. To promote older adults’ healthy diets, it is imperative to comprehensively study the factors associated with the eating behaviors of the aging population group. This study aimed to probe the associated factors of older adults’ eating behaviors from a socioecological model (SEM) perspective. Methods: In 2021, a cross-sectional survey was performed to recruit participants in China. The survey data were analyzed using a multivariate generalized linear model to identify the factors associated with eating behaviors in older adults. Standardized regression coefficients (β) and 95% confidence intervals (CIs) were estimated using a multivariate generalized linear model. Results: The survey contained 1147 valid older adult participants. Multivariate generalized linear model results showed that older adults with older age [aged 71–80 (β = -0.61), ≥ 81 (β = -1.12)], conscientiousness personality trait (β = -0.27), and higher family health levels (β = -0.23) were inclined to have better eating behaviors. The older adults with higher education levels [junior high school and high school (β = 1.03), junior college and above (β = 1.71)], higher general self-efficacy (β = 0.09), more severe depression symptoms (β = 0.24), and employment (β = 0.82) tended to have poorer eating behaviors. Conclusions: This study identified factors that are specifically associated with older adults’ eating behaviors from an SEM perspective. The comprehensive multiple-angle perspective consideration may be a valuable idea for studying healthy eating behaviors in older adults.

Sarcopenia emerges as a predominant health concern among the older adults, it makes the identification of relational factors crucial. Nut, a universally consumed dietary component, is posited to confer benefits to the musculoskeletal system. This study aimed to elucidate the association between nut consumption and sarcopenia in Chinese older adults. Data concerning nut consumption and sarcopenia were sourced from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The analysis incorporated 14,281 participants furnishing valid responses. This research employed logistic regression to investigate the association between nut consumption and sarcopenia. A total of 14,181 older adults (mean age = 84.86 ± 11.47 years and 55.08% were female) were included in this study. This study found an inverse association between nut consumption and sarcopenia in Chinese older adults, with higher nut consumption associated with a lower prevalence of sarcopenia, even after controlling for confounders. Compared with the nut consumption group of occasionally/rarely or never, the adjusted ORs of sarcopenia for at least once per month, at least once per week, and almost every day were 0.78 (95% CI: 0.66, 0.91), 0.81 (95% CI: 0.69, 0.95), and 0.62 (95% CI: 0.51, 0.77), respectively. Moreover, the result also displayed there is a significant interaction of nut consumption with gender (P-value = 0.016). This study identified an inverse association between nut consumption and sarcopenia. Introducing nut into the dietary regimen might present an accessible approach to bolster musculoskeletal health among the older adults.