OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective:To understand the rotavirus contamination in the environment of microbiology laboratory, identify the key parts prone to contamination in the laboratory, and evaluate the inactivation efficacy of three common disinfectants on rotavirus.Methods:The laboratory environment and the surface of personal protective equipment were sampled with virus sampling swab after the experimental operation, and rotavirus nucleic acid was detected by real-time RT-PCR. Rotavirus inactivation experiments were carried out on chlorine containing disinfectant, ethanol and benzalkonium chloride according to the Chinese Technical Standard of Disinfection (2002 version).Results:A total of 174 samples were collected and 13 rotavirus nucleic acid positive samples were detected. The overall positive rate was 7.47%. The rotavirus could be inactivated with more than 4.00 log titer reduction, with 500 mg/L sodium hypochlorite disinfectant for 5 minutes, 75% ethanol for 1 minute and 1 500 mg/L benzalkonium chloride for 1 minute.Conclusions:There is a risk of rotavirus contamination in the microbiology laboratory. Sodium hypochlorite, ethanol and benzalkonium chloride disinfectants can effectively inactivate rotavirus and can be used for rotavirus decontamination.

Objective:This study aims to understand the anxiety and depressive symptoms among the front-line medical staff against the COVID-19 and the related factors.Methods:130 front-line medical staff from Tianyou Hospital Affiliated to Wuhan University of science and technology were assessed by the Generalized Anxiety Disorder Scale (GAD-7), the Patient Health Questionnaires (PHQ-9) scale, and the simple self-designed questionnaire (including 8 factors related to anxiety and depressive symptoms). The prevalence of anxiety and depression of different participants according to demographic characteristics were compared with χ 2 test. The association between depression/anxiety and impact factors was analyzed using the Pearson correlation method. Results:48 people had anxiety and depressive symptoms, accounting for 36.9%（48/130） of the total sample. 41 people had anxiety symptoms, accounting for 31.8% (41/130) of the total sample. 36 people had depressive symptoms, accounting for 27.7% (36/130) of the total sample. Gender, age, marital status, education level, occupation, professional title, department, and duration of taking part in the fight against the COVID-19 had no correlation with the prevalence of anxiety. Gender, age, marital status, occupation, professional title, department, and duration of taking part in the fight against the COVID-19 had no correlation with the prevalence of depression, however education level had correlation with the prevalence of depression (χ2=5.220， P=0.034). Disease factor, work factor, time factor, and safety factor were all related to anxiety and depression. The proportion of management factors in the anxiety group was significantly higher than that in the group without anxiety (χ2=13.578， P<0.01). The proportion of other factors in the group without anxiety was significantly higher than that in the group with anxiety(χ2=6.229， P=0.012). The severity of anxiety and depression was positively correlated with disease factor, work factor, time factor, safety factor, and management factor, and negatively correlated with other factors ( r=-0.287， P<0.05). Conclusion:There were anxiety and depressive symptoms in front-line medical staff against COVID-19, which was significantly related to the characteristics of the COVID-19 epidemic. It is necessary to carry out psychological intervention for this population.

Objective:This study aims to understand the anxiety and depressive symptoms among the front-line medical staff against the COVID-19 and the related factors.Methods:130 front-line medical staff from Tianyou Hospital Affiliated to Wuhan University of science and technology were assessed by the Generalized Anxiety Disorder Scale (GAD-7), the Patient Health Questionnaires (PHQ-9) scale, and the simple self-designed questionnaire (including 8 factors related to anxiety and depressive symptoms). The prevalence of anxiety and depression of different participants according to demographic characteristics were compared with χ 2 test. The association between depression/anxiety and impact factors was analyzed using the Pearson correlation method. Results:48 people had anxiety and depressive symptoms, accounting for 36.9%（48/130） of the total sample. 41 people had anxiety symptoms, accounting for 31.8% (41/130) of the total sample. 36 people had depressive symptoms, accounting for 27.7% (36/130) of the total sample. Gender, age, marital status, education level, occupation, professional title, department, and duration of taking part in the fight against the COVID-19 had no correlation with the prevalence of anxiety. Gender, age, marital status, occupation, professional title, department, and duration of taking part in the fight against the COVID-19 had no correlation with the prevalence of depression, however education level had correlation with the prevalence of depression (χ2=5.220， P=0.034). Disease factor, work factor, time factor, and safety factor were all related to anxiety and depression. The proportion of management factors in the anxiety group was significantly higher than that in the group without anxiety (χ2=13.578， P<0.01). The proportion of other factors in the group without anxiety was significantly higher than that in the group with anxiety(χ2=6.229， P=0.012). The severity of anxiety and depression was positively correlated with disease factor, work factor, time factor, safety factor, and management factor, and negatively correlated with other factors ( r=-0.287， P<0.05). Conclusion:There were anxiety and depressive symptoms in front-line medical staff against COVID-19, which was significantly related to the characteristics of the COVID-19 epidemic. It is necessary to carry out psychological intervention for this population.