Cooking with biomass fuels and mortality among Chinese elderly people: A prospective cohort study.

This study used data from the Chinese Longitudinal Healthy Longevity Survey (n = 9765, age 65+) to investigate the impact of biomass fuels on the mortality of the Chinese elderly population. The association between biomass fuels and mortality was examined using a Cox proportional hazards model. We evaluated the difference in risk of death between those who switched fuel types from biomass to clean fuels and from clean to biomass fuels versus those who did not during the follow-up period. Participants who used biomass fuels had a higher risk of death than participants who used clean fuels (HR = 1.09, 95% CI: 1.01-1.17). For participants who switched cooking fuel types during the follow-up period, switching from biomass to clean fuels significantly reduced the risk of death (HR = 0.78, 95% CI: 0.67-0.91), while no evidence of an association between switching from clean to biomass fuels and risk of death was found (p > 0.05). Interactions and subgroup analyses indicated that effect estimates were greater for women and non-smokers. Biomass fuels may be associated with a higher risk of death among Chinese elderly. Research measuring personal exposure levels to indoor air pollution caused by biomass fuels combustion is required to confirm our results.

Prevalence and associated factors for workplace violence among general practitioners in China: a national cross-sectional study.

BACKGROUND: General practitioners (GPs) were at risk of violence in their everyday working lives. Workplace violence (WPV) among GPs is a global public health concern. This study aimed to investigate the prevalence and factors associated with WPV among GPs in China. METHODS: A cross-sectional study was conducted among 4376 GPs in eastern, central, and western China between March and May 2021 using a structured self-administered questionnaire. The multivariable stepwise logistic regression model was used to examine the factors associated with WPV among GPs in China. RESULTS: Among these respondents, 14.26% of them reported exposure to WPV in the past 12 months. GPs who were female, practised in a rural area, made home visits occasionally, worked in a fair or good practice environment or work environment, and had a fair or good relationship with patients were less likely to encounter any type of WPV. In addition, GPs who served patients over 20 per day and worked overtime occasionally or frequently were more likely to be exposed to WPV. The determinants of WPV varied in different types of WPV and sexes. CONCLUSIONS: The prevalence of WPV among GPs is low in China. Our findings could inform the measures to reduce the WPV among GPs.

Occupational stress and associated factors among general practitioners in China: a national cross-sectional study.

BACKGROUND: Occupational stress among general practitioners (GPs) is a public health concern. This study aimed to investigate the prevalence and factors associated with occupational stress among GPs in China. METHODS: A cross-sectional design was used. Data were collected from 3,236 GPs in eastern, central, and western China (response rate, 99.75%) between October 2017 and February 2018 using a structured self-administered questionnaire. An ordinal logistic regression model was used to identify the factors associated with occupational stress among GPs. RESULTS: Among these respondents, 313 (9.67%), 1,028 (31.77%), and 1,895 (58.56%) of GPs had a low, medium, and high level of occupational stress, respectively. GPs from central China, with temporary work contracts, without management responsibility, receiving a moderate level of income, and with moderate occupational development opportunities had a lower level of occupational stress. GPs with greater than 40 working hours per week and those who worked overtime occasionally or frequently had a higher level of occupational stress. CONCLUSIONS: The prevalence of occupational stress among GPs is high in China. Substantial regional variation in determinants of occupational stress among GPs was observed. These findings should inform the design of policies to reduce the occupational stress of GPs.

Association of biomass fuel use with the risk of vision impairment among Chinese older adults: a cohort study.

Cooking with biomass fuels has been reported to have adverse effects on health. This study aims to explore the association between cooking with biomass fuels and vision impairment among Chinese older adults aged 65 years and above. This cohort study drew on data from the 2011/2012 wave and the 2014 follow-up wave of the Chinese Longitudinal Healthy Longevity Survey. Participants' visual function was examined through a vision screening test. Exposure to indoor biomass fuels was self-reported. Cox proportional hazards models were applied to explore the relationship between biomass fuel use and vision impairment. Additionally, we compared the risk of vision impairment between participants who switched cooking fuel types and those who did not. Subgroup and interaction analyses were conducted to explore the potential effect modifiers. A total of 4711 participants were included in this study. During the follow-up, 1053 (22.35%) participants developed vision impairment. Cooking with biomass fuels increased the risk of vision impairment by 40% (hazard ratio [HR]: 1.40, 95% confidence interval [CI]: 1.21-1.61). Participants who switched from clean fuels to biomass fuels had a greater risk of vision impairment than persistent clean fuel users (HR: 1.44, 95% CI: 1.03-2.00). Greater effect estimates were found in participants who lived in eastern and central China and urban residents. Cooking with biomass fuels resulted in a greater risk of vision impairment among Chinese older adults. This risk also existed in those who changed their cooking fuels from clean fuels to biomass fuels. Further studies with an objective assessment of biomass fuel combustion are required to confirm our findings.

Evaluation of Sleep Habits and Disturbances Among US Adults, 2017-2020.

Importance: Unhealthy sleep behaviors and sleep disturbances are associated with higher risk of multiple diseases and mortality. The current profiles of sleep habits and disturbances, particularly the differences between workdays and free days, are unknown in the contemporary US. Objective: To comprehensively evaluate sleep habits on workdays and free days and the prevalence of sleep disturbances among US adults. Design, Setting, and Participants: This study is a cross-sectional analysis of US nationally representative data from the National Health and Nutrition Examination Survey (2017-2020) among adults aged 20 years or older. Data analysis was performed from February to May 2022. Main Outcomes and Measures: The main outcomes were means and/or distributions of sleep habits, including sleep duration and sleep-wake timing on workdays and free days, sleep debt (ie, the difference between sleep duration on free days and mean weekly sleep duration), and social jet lag (ie, the difference between the midpoint between sleep and wake time on workdays and free days). Prevalence of trouble sleeping (ie, participants told a doctor or other health professional that they have trouble sleeping) and daytime sleepiness (ie, self-reported feeling of being overly sleepy during the day ≥5 times per month) were also determined. Results: A total of 9004 individuals (mean [SE] age, 48.3 [0.53] years; 4635 women [51.9%]; 3158 non-Hispanic White [62.8%]) were included in the current study. The mean sleep duration was 7.59 hours (95% CI, 7.54 to 7.64 hours) on workdays and 8.24 hours (95% CI, 8.17 to 8.31 hours) on free days (difference, 0.65 hour). The mean sleep and wake times were at 11:02 pm (95% CI, 10:57 pm to 11:17 pm) and 6:41 am (95% CI, 6:36 am to 6:45 am), respectively, on workdays and 11:25 pm (95% CI, 11:21 pm to 11:35 pm) and 7:41 am (95% CI, 7:37 am to 7:46 am), respectively, on free days (differences, 0.23 hour for sleep time and 1.00 hour for wake time). On workdays, 23.1% (95% CI, 21.3% to 24.9%) of adults slept less than 7 hours and 25.4% (95% CI, 24.1% to 26.6%) went to sleep at midnight or later; the corresponding percentages changed to 12.9% (95% CI, 11.6% to 14.1%) and 40.9% (95% CI, 38.4% to 43.5%), respectively, on free days. Furthermore, the mean sleep debt was 0.73 hours (95% CI, 0.68 to 0.77 hours), and mean social jet lag was 1.10 hours (95% CI, 1.05 to 1.15 hours); 30.5% (95% CI, 26.8% to 33.3%) of adults experienced 1 hour or more of sleep debt, and 46.5% (95% CI, 42.6% to 50.3%) experienced 1 hour or more of social jet lag. The prevalence of trouble sleeping was 29.8% (95% CI, 28.2% to 31.5%), and that of daytime sleepiness was 27.2% (95% CI, 25.0% to 29.5%). Conclusions and Relevance: In 2017 to 2020, US adults showed variability in sleep habits between workdays and free days, with longer sleep duration and later sleep-wake phases on free days, and high percentages of US adults experienced long-term sleep deprivation, chronic social jet lag, and frequent sleep disturbances. These findings provide evidence to further investigate potential approaches to optimize overall US sleep health.

Association of food groups with the risk of cognitive impairment in Chinese older adults.

OBJECTIVE: To investigate the impact of 10 common foods (including staple foods, fruits, vegetables, sugar, meat, fish, eggs, beans, salt-preserved vegetables, and garlic) on cognitive function in Chinese older adults. METHODS: Cross-sectional data on demographic characteristics, lifestyle, and dietary habits were taken from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS). Cognition was assessed using the Mini-Mental State Examination (MMSE). Food consumption was measured by participants reporting the frequency of their food consumption. Association between food groups and cognitive function was evaluated using mixed-effect regression model analysis. RESULTS: Compared with those who rarely or never consumed vegetables, meat, fruits, beans, and garlic, older adults who consumed these foods almost daily were 56%, 30%, 23%, 34%, and 29% less likely to have cognitive impairment, respectively. No associations between staple foods, sugar, fish, and eggs consumption and cognitive impairment were found. Low-frequency consumption of salt-preserved vegetables may be associated with cognitive function. Regular vegetables consumption had the greatest associated risk reduction of all food types. Interactions indicated that the co-ingestion of vegetables and beans or sugar, meat and beans may have antagonistic effect, while the co-ingestion of salt-preserved vegetables and garlic may have synergistic effect. Subgroup analyses showed that sex and age were the significant effect modifiers for meat and fish, respectively. CONCLUSIONS: Cognitive function of Chinese older adults may be related to food groups. Future research should measure food types and consumption level with greater granularity.

Bidirectional Mendelian randomization to explore the causal relationships between Sleep traits, Parkinson's disease and Amyotrophic lateral sclerosis.

OBJECTIVE: Sleep disturbances have been linked with Parkinson's disease (PD) and amyotrophic lateral sclerosis (ALS) in observational studies, and the comorbidity of PD and ALS has been reported in clinical case reports, but the causalities remain unclear. This study aims to examine bidirectional causal relationships between sleep traits, PD and ALS. METHODS: Bidirectional two sample Mendelian randomisation (MR) analyses were conducted, with data from individuals of mainly European ancestry. Genetic instruments were obtained from the largest published genome-wide association studies (GWAS) concerning various sleep traits, PD and ALS. MR estimates from each genetic instrument were combined by inverse variance weighted method, with alternate methods (eg, weighted median, MR Egger, MR-PRESSO) and statistical graphs to assess horizontal pleiotropy and remove outliers. RESULTS: MR analysis failed to observe any causal association between sleep disorders and PD, but found a possible causal effect of PD risk on ALS risk (odds ratio [OR] = 1.07; 95% CI: 1.01-1.14, P < 0.01), albeit with a horizontal pleiotropy. Furthermore, MR analyses indicated that excessive daytime sleepiness (EDS) (OR = 2.29; 95% CI: 1.04-5.03, P = 0.04) contributed to a modest increase in risk of ALS, but the reverse causalities were not significant. Higher risk of ALS may be associated with being a "morning person" (OR = 1.03, P = 0.02), a longer sleep duration (OR = 1.01, P < 0.01), and a mean of 9 h or more total sleep duration (ß = 0.02, P = 0.04). CONCLUSIONS: Aided by large-scale GWAS, a shortage of evidence supporting causal relationships of sleep traits and PD risk, while significant evidence supports that EDS, higher PD risk may causally influence ALS risk. Future researches are required to explore the underlying pathological mechanism as well as the clinically significance, and replicate our findings using independent samples when data become available.

Maternal long working hours and offspring's weight-related outcomes: A systematic review and meta-analysis.

It is unclear whether maternal working time has an impact on offspring's weight-related outcomes especially obesity; the objective of this study is to conduct the first meta-analysis to focus on this topic. We searched PubMed, Ovid, and Web of Science databases through August 2021. A random-effect model was used to assess the pooled odds ratios (ORs) and regression coefficients (ß) with their corresponding 95% confidence intervals (95% CIs). Subgroup analyses were conducted to explore sources of heterogeneity. Publication bias was evaluated by the Egger's tests. Twenty-two observational studies were included with a total of 191,420 participants. Compared with children whose mothers worked less than 35 h/week, we found that children whose mothers worked more than 35 to 40 h/week had a 2.24-fold increased risk of childhood overweight/obesity (OR = 2.24, 95% CI: 1.61-3.11). An increment of 10 h/week in maternal working was associated with an approximately 1.0 percentage points in the probability of childhood overweight/obesity (ß = 0.008, 95% CI: 0.004-0.012). The pooled OR also indicated a similar result (OR = 1.09, 95% CI: 1.04-1.15). In addition, an increment of 10 h/week in maternal working was associated with 0.029 units increase in offspring's BMI z score (ß = 0.029, 95% CI: 0.016-0.042). Maternal long working hours is a potential risk factor for offspring's weight-related outcomes. Measures should be taken to protect the work welfare of females, thus facilitating the positive interaction of individual-family-society.

Association between self-reported depression and risk of all-cause mortality and cause-specific mortality.

BACKGROUND: Depression is a prevalent and disabling mental disorder that frequently co-occurs with a wide range of chronic conditions. Past evidence suggests that depression could be associated with the all-cause mortality and other disease mortality in Western populations, but little is known about the relationship in the Chinese population. Therefore, we investigated the associations between self-reported depression and all-cause and specific-cause mortality in Chinese adult populations. METHODS: The Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms among 8,151 adult participants drawn from the general population of Guizhou province, China. Participants death and cause of death were determined by linking with the official death records and certificates up to June 2021. Cause of death was coded according to ICD-10 then categorized as either cardiovascular disease (CVD, I00-I99), cancer (C00-C97) or other cause. Cox proportional hazard regression was used to examine the associations of self-reported depression with all-cause mortality and cause-specific mortality. RESULTS: With a median follow-up of 7.4 years, 8,151 participants (52.6% women) at baseline were included in the analysis. The multivariable cox hazard regression models showed that participants with moderate and major depression had the highest hazard ratio (HR) for risk of all-cause mortality (HR=5.65, 95% CI 3.09-10.33), CVD mortality (HR=5.66, 95% CI 2.02-15.84), and cancer mortality (HR=7.21, 95% CI 2.00-25.99), compared with participants had no or mild depression. CONCLUSION: Our findings suggested that depression was a risk factor for mortality, with greater risk for greater severity. Clinicians should be aware of the increased risk of mortality in populations with depression.

Maternal smoking status during pregnancy and low birth weight in offspring: systematic review and meta-analysis of 55 cohort studies published from 1986 to 2020.

BACKGROUND: Maternal smoking during pregnancy may be associated with low birth weight (LBW) in offspring and global risk estimates have not been summarized previously. We aimed to systematically explore evidence regarding maternal smoking and the LBW risk in offspring globally and examine possible causes of heterogeneity across relevant studies. METHODS: Comprehensive search of PubMed, Ovid Embase, Ovid Medline (R), and Web of science from inception until October 2021 was carried out. A random-effects meta-analysis was used to estimate the pooled odds ratio (OR) and corresponding 95% confidence interval (CI). Restricted cubic spline analysis with three knots was used to further examine the dose-response relationship. RESULTS: Literature searches yielded 4940 articles, of which 53 met inclusion criteria (comprising 55 independent studies). Maternal smoking during pregnancy was significantly associated with the risk of LBW in offspring (OR = 1.89, 95% CI = 1.80-1.98). Furthermore, an obvious dose-response relationship between the amount of cigarettes daily smoked in pregnancy and the risk of LBW in offspring was observed. The results of subgroup analyses indicated that the risk of maternal smoking on LBW was larger in more recently conducted studies (P = 0.020) and longer period of active smoking during pregnancy (P = 0.002). No evidence of publication bias was found. CONCLUSIONS: In summary, maternal smoking in pregnancy was significantly associated with a higher risk of LBW in offspring on a global scale. The risk of maternal smoking on infant LBW seems to be increasing over time, and was higher with longer smoking duration throughout pregnancy and more cigarettes smoked daily.

Dose-response association of early-life antibiotic exposure and subsequent overweight or obesity in children: A meta-analysis of prospective studies.

The objective of this study is to investigate the dose-response relationship between antibiotic exposure in early life and the risk of subsequent overweight or obesity. Electronic databases were searched from inception to December 2020. Prospective studies that reported the odds ratios (ORs) of childhood overweight or obesity for three or more quantitative categories of antibiotic exposure were identified. A random-effect model was used to pool the ORs and 95% confidence intervals (CIs). Generalized least squares and restricted cubic splines were used to explore the dose-response association. A total of 12 sets of results from 10 articles involving 427,453 participants were included in this meta-analysis. The pooled OR for increased risk of overweight or obesity was 1.30 in high-level antibiotic exposure (95% CI: 1.20 to 1.41) and 1.06 in low-level antibiotic exposure (95% CI: 1.02 to 1.10), as compared with children who never exposed to antibiotics. There was a logarithmic-curve relationship between early-life antibiotic exposure and the risk of subsequent overweight or obesity. The OR was 1.08 (95% CI: 1.06 to 1.11) for one prescription, 1.16 (95% CI 1.11 to 1.21) for two prescriptions, 1.24 (95% CI: 1.16 to 1.32) for three prescriptions, 1.30 (95% CI: 1.20 to 1.41) for four prescriptions, and less than a 5% increase for more prescriptions. Early-life antibiotic exposure is associated with the risk of childhood overweight or obesity in a dose-response manner. Further studies are needed to confirm our results.

Willingness to seek medical care for tuberculosis and associated factors among the elderly population in Shenzhen: a cross-sectional study.

OBJECTIVES: This study was aimed to assess the willingness of elderly people to seek medical care for tuberculosis (TB) and the associated influencing factors. DESIGN: A cross-sectional study. SETTING: A multistage random survey was conducted in Bao'an District of Shenzhen in China. PARTICIPANTS: A total of 1200 elderly people aged 65 or above were recruited for the study and completed a structured questionnaire between September and October 2019. MAIN OUTCOME MEASURES: Descriptive and binary logistic stepwise regression analyses were conducted to analyse the characteristics of elderly individuals, their willingness to seek medical care for TB and associated factors. RESULTS: Among the final 1123 respondents, 943 (84.0%) were willing to seek medical care if they discovered suspicious TB symptoms. Binary logistic stepwise regression analysis indicated that respondents whose family annual income per capita was 50 000-100 000¥ (OR=2.56, 95% CI: 1.44 to 4.54, p<0.01) and who had positive attitudes (≥3 scores: OR=3.10, 95% CI: 1.90 to 5.05, p<0.01) or practices (≥4 scores: OR=3.13, 95% CI: 1.82 to 5.39, p<0.01) towards TB were more willing to seek medical care for TB. CONCLUSIONS: Willingness to seek medical care for TB in the elderly population can be improved according to the determinants.