Mental toll on working women during the COVID-19 pandemic: An exploratory study using Reddit data

S, Sachin, Rajendrasinh VU, Arunlal BS, Dineshbhai SR, Meghabhai CS. Comparative analysis of stress levels among working and non-working Indian women in rural Gujarat

Stress is derived from the Latin word "stringers" manifests as the body's response to various demands and pressures, affecting individuals' health and well-being. Therefore, it is of interest to evaluate stress levels in employed and unemployed women, recognizing the differential stress experiences in various life domains. A quantitative non-experimental comparative research design was employed, with data collected through structured questionnaires from 120 women in Visnagar, Gujarat. Results: Non-working women demonstrated lower stress levels compared to working women in pre-test measures. Post-intervention, non-working women experienced a reduction in stress, while working women showed no change. Demographic factors like age, education, and family structure did not significantly influence stress levels, except for monthly income, which correlated with lower stress across both groups. The study underscores significant disparities in stress levels between employed and unemployed women in rural Visnagar. Tailored interventions effectively reduced stress among non-working women but showed limited efficacy for working women. Financial stability emerged as a crucial factor in mitigating stress. Younger working women reported higher stress levels, suggesting the need for targeted interventions addressing career and familial pressures.

Prevalence of body mass index categories among adults living alone in China: Observational study

BACKGROUND

Adults living alone represent a growing population group in China. Understanding the prevalence of body mass index (BMI) categories and their associations with demographic and lifestyle factors among this group is essential for informing targeted interventions and public health policies.

METHODS

In this population-based cross-sectional study, we used individual-level data from the 2011-2021 China General Social Survey. Main outcomes were prevalence of BMI categories adjusted for gender and age, using logistic regression and model-predicted marginal prevalence to estimate BMI categories prevalence.

RESULTS

We analyzed 9,077 single-living Chinese adult participants. The primary-adjusted prevalence of BMI categories varied across different genders and age groups. Underweight was more prevalent in females (12.73%; 95% CI: 12.31% - 13.14%) than in males (7.54%; 95% CI: 7.19% - 7.88%), while overweight and obesity were higher in males. Primary-adjusted underweight prevalence was highest among the 18-24 years age group (22.09%; 95% CI: 20.17% - 24.01%) and decreased with age. Primary-adjusted overweight prevalence increased with age, peaking in the 45-54 years age group (41.94%; 95% CI: 40.96% - 42.93%). Primary-adjusted obesity prevalence exhibited a fluctuating pattern across age groups, with the highest prevalence observed in the 45-54 years age group (9.81%; 95% CI: 9.19% - 10.44%).

CONCLUSION

Our findings reveal significant associations between BMI categories and demographic and lifestyle factors among adults living alone in China. These results can inform targeted interventions and public health policies aimed at promoting healthy weight management and addressing the unique health challenges faced by single-living individuals in China.