[Changes in health-related behaviors as predictors of changes in health self-perception: longitudinal study (2011-2015)]

Negative Self-Assessment of Health in Women: Association with Sociodemographic Characteristics, Physical Inactivity and Multimorbidity

Introduction: Women present a higher prevalence of negative self-assessment of health (NSAH) when compared to men. However, there is a gap in the literature of factors associated with NSAH in women from developing countries such as Brazil. In addition, few studies have assessed the magnitude of the association between multimorbidity and NSAH in this population. Thus, the aim of this study was to evaluate the association between NSAH and sociodemographic characteristics, lifestyle and multimorbidity in women from the Midwest region of Brazil. Methods: A study based on data from the National Health Survey, a household survey that investigated health situation, lifestyle and risk factors for chronic diseases in the adult population of Brazil, was held. Sampling was performed in multiple stages. The selected women answered a standardized questionnaire on sociodemographic data, self-assessment of health and potential determinants. Poisson regression was used to analyze the association between NSAH and sociodemographic characteristics, lifestyle and multimorbidity. A significance level of 0.05% was established. Results: The study included 4233 women. The prevalence of NSAH found was 6.0% (95% Confidence Interval [95% CI]: 5.1–7.0%). There was an association between NSAH and advancing age, low schooling, physical inactivity and multimorbidity. Furthermore, there was an association between NSAH and diseases/disorders such as chronic back pain, systemic arterial hypertension, mental disorders, depression, cardiovascular diseases, stroke, cancer, hypercholesterolemia and diabetes mellitus. Conclusion: The prevalence of NSAH was low. A strong association was found between this variable and multimorbidity. In addition, increased age, low schooling and physical inactivity were predictors of NSAH in women.

Back pain occurred due to changes in routinary activities among Brazilian schoolteachers during the COVID-19 pandemic

Objective

This study’s main objective was to investigate the emergence of back pain as a consequence to changes in usual activities due to the COVID-19 pandemic among teachers in public schools in the state of Minas Gerais, Brazil.

Methods

A cross-sectional study was conducted among 15,276 schoolteachers using an online questionnaire. The variables included sociodemographic and occupational data, health situation, habits and behaviors during the COVID-19 pandemic. Bivariate analyses using Pearson’s chi-square test and multiple analyses using Poisson regression were performed to identify the associated factors.

Results

About 58% of schoolteachers reported back pain due to changes in routine activities during the pandemic. The adjusted model showed a correlation between back pain and female sex, longer working hours, overwork, difficulties concerning distance working, negative changes in health status and quality of sleep; frequent feeling of sadness, depression, or anxiety; use of medications to relax, sleep or against stress/anxiety/depression; physical inactivity or negative changes in the practice of physical activities; increased body weight; reduction of leisure time; increased time of use of computer or tablet and overload of housework.

Conclusion

During the COVID-19 pandemic, schoolteachers reported a high prevalence of emergence of back pain, which delineates a contradiction in terms: on the one hand, distance education allows social distancing that contributes to the preservation of teachers’ health by reducing the risk of contamination by COVID-19. On the other hand, it imposes new demands that—in disagreement with working conditions—can threaten the health of these workers.

Gender Differences in the Quality of Life of Formal Workers

BACKGROUND

This study aimed to assess the quality of life associated with gender inequalities in formal workers and to determine the effect of sociodemographic, clinical, and behavioral factors on the quality of life (QOL).

METHODS

This cross-sectional study involved 1270 workers. Quality of life was measured using the EUROHIS-QOL 8-Item and assessed in terms of psychological, environmental, social, and physical domains, while demographic, socioeconomic, behavioral, and clinical variables served as explanatory variables. Analyses were performed using an ordinal logistic regression model whose significance level was 5%.

RESULTS

Of the participants, 80.2% were men, and 19.8% were women; the mean age was 34 (standard deviation: ±10) and 32 (±9) years, respectively. In all prediction scenarios, men were more likely to have a higher quality of life, especially in the physical (odds ratio: 2.16; 95% confidence interval: 1.60-2.93) and psychological (odds ratio: 2.09; 95% confidence interval: 1.51-2.91) domains.

CONCLUSIONS

Men and women had significantly different levels of quality of life, and sociodemographic, clinical, and behavioral variables partially clarified these differences, which were possibly established by a socio-historical process of construction of the work role determined by gender issues.

Quality of Life and Associated Factors in Young Workers

BACKGROUND

This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit.

METHODS

This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level.

RESULTS

Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as "very good" had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17-10.81), and those who rated it as "good" had an odds ratio of 2.9 (95% CI = 2.31-3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with "regular", "poor", or "very poor" self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08-1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05-1.66).

CONCLUSIONS

In the present study, self-rated health, physical activity, and gender were associated with young workers' quality of life.