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Background: This cross-sectional study aimed to examine the association between dietary diversity and risk of subjective cognitive decline (SCD), a precursor of dementia, in middle-aged and elderly Chinese populations residing in eastern China. Methods: Participants aged ≥ 45 years were recruited from a community in an eastern Chinese city after excluding potential objective cognitive impairment using the Mini-Cognitive Assessment Instrument (Mini-Cog). SCD was assessed using the Subjective Cognitive Decline Questionnaire-9 (SCD-Q9). Dietary data were collected using the Dietary Quality Questionnaire (DQQ), and the Food Group Diversity Score (FGDS) and the Consumed All Five Recommended Food Score (All-5) were calculated as indicators of dietary diversity. Odds ratios (ORs) and 95% confidence intervals (CIs) were computed to evaluate the associations of FGDS and All-5 scores with SCD after adjusting for age, sex, socioeconomic status, lifestyle factors, and health status. Results: Among the 871 participants, 358 (41.1%) were classified as having SCD. Compared with participants with the highest FGDS (≥8) and those with the highest All-5 score (5), those with the lowest FGDS (≤4) and the lowest All-5 score (≤3) exhibited 85% (OR = 1.85; 95% CI: 1.10–3.13; p = 0.02) and 90% (OR = 1.90; 95% CI: 1.21–2.97; p < 0.01) higher risk of SCD, respectively, after adjusting for all covariates. Fruits were the only food group among the All-5 components that demonstrated a significant association with SCD risk. Conclusions: Poor dietary diversity was associated with an elevated risk of SCD in middle-aged and older adults, and fruits were the food group with the most substantial effect. [ABSTRACT FROM AUTHOR]

Context Resting heart rate (HR) is increasingly recognized as an indicator of disease and overall morbidity and mortality. Whether chronic coffee consumption affects resting HR is an important consideration for individual consumers as well as from a public health perspective. Objective A meta-analysis of randomized controlled trials (RCTs) was conducted to examine the effectiveness of coffee consumption on resting HR. Data Sources Original RCTs assessing the effect of coffee consumption on resting HR and published prior to March 2023 were identified by searching online databases, including PubMed, Web of Science, and Cochrane Library databases. Data Extraction and Analysis Data searches and extraction and risk-of-bias assessments were performed according to the Cochrane guidelines, and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for systematic reviews were followed. Data on study characteristics, type, and amount of coffee and net change and measurement resting HR were extracted. A random-effects or a fixed-effects model was used to estimate the pooled effect sizes. Homogeneity was determined with the Cochran Q test, and publication bias was assessed through Begg's test, Egger's test, and funnel plots. Results A total of 6 RCTs with 11 intervention trials or arms involving 485 individuals were included. The participants were generally healthy, although some had hypertension, hypercholesterolemia, or were overweight. The trial duration ranged from 2 weeks to 24 weeks. The overall pooled analysis showed that coffee consumption resulted in a negligible increase in resting HR of 0.40 beats per minute (95% CI: −0.78 to 1.57; P = 0.506), which was statistically insignificant. Subgroup analysis of all specified categories was consistent with the overall analysis. No heterogeneity was observed among included trials (I2 = 0.0%, P = 0.756). Conclusion The results of the present meta-analysis study demonstrate that daily coffee consumption of 3 to 6 cups for a period of 2 to 24 weeks has no statistically significant effect on resting HR. [ABSTRACT FROM AUTHOR]

This study was designed to investigate the implications of perceived social support from adult children (SSAC) on the incidence of later-life depression (LLD) among rural older adults in China. A total of 1762 participants without depressive symptoms and aged ≥60 years at baseline were recruited from three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study (CHARLS) and followed up until 2018. After following-up for 2-7 years (average 4.6 years), a total of 746 participants (43.2%) were identified with LLD and the overall incidence of LLD was 128.5 per 1000 person-years. Univariate and multiple Cox regression analysis consistently indicated that receiving living care support was the sole form of SSAC that may significantly reduce the risk of LLD in rural older adults in China (HR: 0.81, 95% CI: 0.70-0.95, p = .008). These results may be of assistance in comprehensively understanding the role of SSAC in the mental health of older adults., Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.