ABSTRACT Diet quality and social support play essential roles in maintaining the health of older adults. However, the relationship between these factors remains uncertain. This study aimed to investigate the association between social support and dietary quality among community‐dwelling older adults in China. This study analyzed 515 community‐dwelling older adults from three districts in Shanghai that were selected based on their geographic location and level of economic development between March and November 2022. Dietary quality was assessed using the China Elderly Dietary Guideline Index (CDGI), China Healthy Eating Index (CHEI), and Dietary Inflammatory Index (DII). Social support was measured using the Social Support Rating Scale (SSRS). Associations between dietary quality and social support were examined using linear regression models. Participants had a mean age of 71.3 ± 4.7 years, and 39.4% were male. The mean CDGI, CHEI, and DII scores were 76.35 ± 11.38, 63.87 ± 9.75, and 0.57 ± 1.65, respectively. The mean SSRS score was 35.05 ± 7.54, ranging from 30.86 to 105.61. Correlation analysis showed that CDGI positively correlated with SSRS and CHEI but negatively correlated with DII. Participants in the highest CDGI tertile reported lower total fat intake and higher consumption of anti‐inflammatory foods and nutrients compared to those in the lowest tertile. After adjusting for confounding factors, a higher CDGI score was significantly associated with higher SSRS scores ( β = 0.094, 95% CI: 0.056–1.679, p = 0.036). Conversely, a lower DII score was significantly associated with higher SSRS scores ( β = −0.088, 95% CI: −1.587 to −0.030, p = 0.042). These results showed that dietary quality and social support are positively correlated among older Chinese adults, highlighting the importance of strengthening social networks to promote healthier diets. These findings underscore the potential for community‐based interventions targeting social and nutritional factors to be correlated with improved health outcomes in aging populations.
Zhang et al. (Thu,) studied this question.