Objective: To explore the association between dietary pattern which benefit for normal kidney function and the risk of cognitive decline or impairment in the elderly. Methods: In 2015, subjects aged 60 and over from four counties in the Nutrition and Chronic Disease Family Cohort project, were followed up in 2017. Cognitive function was repeatedly assessed, using the Mini Mental State Evaluation (MMSE) scale. Dietary pattern that benefit for normal kidney function was extracted, using the reduced rank regression method and followed by logistic regression models to explore the associations between scores that showing the kidney function on dietary patterns and the risk of cognitive deterioration and impairment in two years among those who were with normal cognition in 2015. Results: Dietary pattern that benefit for normal kidney function, was characterized by high consumption of cereal, vegetables, legume and fruits but with less meat and soy products. Comparing with the group with lowest score quartile on this dietary pattern, the risk of cognitive deterioration in the highest quartile group was significantly low (P<0.01) in two years, with an odds ratio as 0.57 (95%CI: 0.37-0.85). Linear trend was also obviously visible (P=0.007) in this group. The ones at the highest quartile group among the normal cognition ones in 2015, the risk of cognitive impairment also significantly reduced (P<0.05) in two years time, with an odds ratio as 0.52 (95%CI: 0.29-0.93). Also, linear trend could obviously be seen (P=0.01). Conclusion Dietary pattern that benefit for normal kidney function was both inversely associated with cognitive deterioration and impairment, in two years.

Objective: To assess the relationship between body mass index (BMI) and mortality in adults of Shanxi, China. Methods: Baseline data were from the '2002 China Nutrition and Health Survey’ in Shanxi province. All the death-related investigation and follow-up visits were carried out from December 2015 to March 2016. The follow-up program covered 5 360 people from all the 7 007 participants aged 18 years and over that having complete core information, with a rate as 76.5%. Participants of this study were divided into eight groups, according to the appearance of BMI. Taking the group with the lowest mortality density as the reference group, Cox regression model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) of deaths by the whole population, gender and age groups (≥60 years, <60 years). Results were then adjusted by age, gender, smoking, alcohol use and education level from the baseline survey. Sensitivity analysis was also conducted. Results: Results from the study showed that among the total number of 67 129 person- years from the average period of 12.5 years, there were 615 deaths occurred, with the mortality density as 916 per 100 000 person-years. Taking the BMI range of 26.0-27.9 kg/m² as the reference, the aHRs of death increased to 1.90 (95%CI: 1.26-2.86), 1.68 (95%CI: 1.15-2.45), 1.49 (95%CI: 1.08-2.06) and 1.72 (95%CI: 1.07-2.76) after the multivariate adjustment, in these four groups (BMI<18.5, 18.5-19.9, 22.0-23.9 and ≥30.0 kg/m²), respectively. Low body weight (BMI<18.5 kg/m²) was associated with higher risks of death in the elderly of ≥60 years, with the aHR of death as 1.94 (95%CI: 1.20-3.15). Conclusions When BMI appeared as ≤19.9 kg/m², 22.0-23.9 kg/m² and ≥30.0 kg/m², the risks of death would increase. In addition to programs that focusing on obesity, special attention should be paid to the high risk of mortality which was caused by low-weight and malnutrition in the elderly.