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Evidence linking sleep timing and night sleep duration to dyslipidemia was limited and inconclusive, especially among low- and middle-income adults. The aims were to evaluate the associations between sleep timing, night sleep duration and dyslipidemia in a rural population. Based on the Henan Rural Cohort Study, a total of 37 164 participants were included. The Pittsburgh Sleep Quality Index was used to collect sleep information. Logistic regression and restrictive cubic splines were conducted to explore the associations. Of the 37 164 enrolled participants, 13881 suffered from dyslipidemia. Compared to the reference groups, people who went to sleep after 23:00 or woke up after 7:30 had higher prevalence of dyslipidemia, the adjusted odds ratios (ORs) and 95% confidence intervals (CIs)were 1.30 (1.20–1.41) and 1.34 (1.19–1.50). The adjusted OR (95%CI) of participants in the Late-sleep/Late-rise category compared to the Early-sleep/Early-rise category was 1.55 (1.08–1.23). Compared to the reference (7~≤8 h), the adjusted OR (95%CI) was 1.11 (1.03–1.20) for longer (>9 h) night sleep duration. Moreover, the combined effects of sleep duration (>9 h) with sleep time (22:00~) (OR = 1.46, 95%CI: 1.16–1.84), sleep duration (>9 h) with wake-up time (≥7:30) (OR = 1.28, 95%CI: 1.08–1.51), and sleep duration (>9 h) with the Late-sleep/Late-rise category (OR = 1.41, 95%CI: 1.14–1.75) increased the prevalence of dyslipidemia. Accordingly, our results indicate that delayed sleep timing and longer night sleep duration had independent and joint effects on higher risks of dyslipidemia in rural population. [ABSTRACT FROM AUTHOR]

Over the past few decades, more studies have suggested that the age at menarche (AAM) has continued to decline. However, the AAM for women in resource-constrained areas is not clear. Moreover, the association between the Chinese famine and AAM is still unclear in rural regions. The study aimed to investigate the secular trends of AAM for women born between 1935 and 2000 and to further explore the effect of famine on AAM in rural China. The study included 23,444 women participants from the baseline study of the Henan Rural Cohort study. Changing AAM over time was analysed using linear regressions. Multinomial logistic regression was conducted to analyse the association between famine exposure and AAM subgroups. The age-standardised mean AAM was 14.74 years. The average AAM declined from 16.98 years for those born in 1935 to 13.87 years for those born in 2000, a decline of 0.077 years per 1 year and 0.729 years per decade. Compared to the reference group, women exposed to famine during foetal, early childhood, middle childhood, and late childhood were 1.376 (95% CI = 1.071–1.769), 1.848 (95% CI = 1.512–2.259), 2.084 (95% CI = 1.725–2.518), and 2.146 (95% CI = 1.788–2.576) times more likely to be ≥18 years AAM than women unexposed to famine, respectively. AAM showed a decreasing trend in rural China. Furthermore, both foetal and childhood famine exposure, especially in late childhood, were positively associated with increased AAM compared to unexposed famine. [ABSTRACT FROM AUTHOR]

Background Previous reports about health-related quality of life (HRQoL) of type 2 diabetes mellitus (T2DM) concentrated on general patients rather than patients in rural areas with poor infrastructure and limited resources. Thus, the aims of this study were to evaluate the HRQoL of diabetics in the countryside and explore its influencing factors. Methods A total of 23 053 participants aged from 18 to 79 years were drawn from the Henan Rural Cohort Study for this cross-sectional study. The HRQoL of participants were assessed by utility index and VAS-score of European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L) instrument. Binary logistic regression, generalized linear and tobit regression models were used to estimate the potential influencing factors on HRQoL. Results This study (23 053 participants) included 2231 T2DM patients with a crude prevalence of 9.68%. The utility index and VAS-score in health group were 0.96 ± 0.10 and 78.85 ± 14.53, while in T2DM group were 0.93 ± 0.15 and 74.09 ± 16.09, respectively. In total, most diabetics reported problem about pain/discomfort dimension. Being old, poverty, low physical activity, and with comorbidities was negatively related to HRQoL of diabetics, while high educational level was positively related to HRQoL. Conclusion HRQoL of rural T2DM patients depended on several sociodemographic factors. More attention should be paid to diabetics with poor socioeconomic status in rural areas. Clinical trial registration The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699) http://www.chictr.org.cn/showproj.aspx?proj=11375. [ABSTRACT FROM AUTHOR]

There are increasing numbers of studies investigating the potential link between microRNAs (miRNAs) and type 2 diabetes mellitus (T2DM) risk. Based on the prior evidence and the differentially expressed candidate plasma exosome miRNAs in our established discovery study, the current meta-analysis studied miR-126 and miR-122 specifically. The purpose of the present study was to systematically and quantitatively evaluate the relationship of miR-126 and miR-22 expression level with T2DM risk as well as related glucose metabolism parameters. Moreover, the present study was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline (PRISMA 2020 statement). PubMed, Embase, Web of Science, Cochrane and Chinese National Knowledge Infrastructure electronic databases were used to identify eligible original studies prior to May 3, 2022. The random-effects models were employed to explore the overall effect estimates [odds ratio (OR) and 95% confidence interval (CI), or correlation coefficient (r, 95% CI)]. The subgroup analyses were conducted to examine the potential sources of heterogeneity. The potential publication bias was assessed by the Begg's funnel plot and Egger's tests. A total of 46 articles were included in the present meta-analysis. The results revealed that higher exposure level of miR-126 was related to lower T2DM risk in 5 analytical epidemiological studies [OR=0.73, 95% CI: (0.55, 0.96)], lower fasting blood glucose (FBG) [N=22, r=-0.26, 95% CI: (-0.42, -0.10)], and lower homeostasis model assessment of insulin resistance (HOMA-IR) index [N=9, r=-0.28, 95% CI: (-0.52, -0.05)]. Besides, positive correlations were observed between miR-122 expression and FBG [N=10, r=0.34, 95% CI: (0.20, 0.48)], as well as HOMA-IR index [N=9, r=0.40, 95% CI: (0.16, 0.64)]. The relationship of miR-126 and miR-122 expression with T2DM risk and these glucose metabolism parameters may be influenced by study types, sample size, different source and mean age of participants. In conclusion, in the general healthy population, higher miR-126 expression was related to lower T2DM risk, FBG level and HOMA-IR index; higher miR-122 expression was closely correlated with higher FBG level and HOMA-IR index. These findings have notable clinical and public health implications for screening and control glucose metabolic disorders, insulin resistance and T2DM development. [ABSTRACT FROM AUTHOR]

• Positive associations of air pollutants with MetS were found in rural Chinese adults. • Physical activity was negatively associated with MetS in rural Chinese adults. • Air pollutants attenuated the negative association of physical activity with MetS. Long-term exposure to ambient air pollution and physical activity are linked to metabolic syndrome (MetS). However, the joint effect of physical activity and ambient air pollution on MetS remains largely unknown in rural Chinese adult population. In this study, 39 089 individuals were included from the Henan Rural Cohort study that recruited 39 259 individuals at the baseline. Participants' exposure to air pollutants (including particulate matter with an aerodynamic diameter ≤ 1.0 µm (PM 1), ≤2.5 µm (PM 2.5), or ≤ 10 µm (PM 10) and nitrogen dioxide (NO 2)) were evaluated by using a spatiotemporal model based on satellites data. Individuals were defined as MetS according to the recommendation of the Joint Interim Societies. Physical activity-metabolic equivalent (MET) was calculated based on the formula of MET coefficient of activity × duration (hour per time) × frequency (times per week). Generalized linear models were used to analyze the individual air pollutant or physical activity and their interaction on MetS. Interaction effects of individual air pollutant and physical activity on MetS were assessed by using Interaction plots which exhibited the estimated effect of physical activity on MetS as a function of individual air pollutant. The prevalence of MetS was 30.8%. The adjusted odd ratio of MetS with a per 5 µg/m3 increase in PM 1 , PM 2.5 , PM 10 , NO 2 or a 10 MET (hour/day) of physical activity increment was 1.251(1.199, 1.306), 1.424(1.360, 1.491), 1.228(1.203, 1.254), 1.408(1.363, 1.455) or 0.814(0.796, 0.833). The protective effect of physical activity on MetS was decreased with accompanying air pollutant concentrations increased. The results indicated that long-term exposure to ambient air pollutants related to increased risk of MetS and physical activity attenuated the effects of ambient air pollutants on increased risk for MetS. [ABSTRACT FROM AUTHOR]