Background: Ultra-processed foods are industrial formulations made from food extracts or constituents with little or no intact food and often containing additives that confer hyper-palatability. The consumption of these products increases the risk of chronic non-communicable diseases. Stressed people may engage in unhealthy eating as a way to cope. This study aimed to verify whether ultra-processed food consumption was associated with perceived stress levels in industrial and retail workers from Vitoria da Conquista, Brazil. Methods: This was a cross-sectional study carried out between July 2017 and August 2018. During the study period, 1270 participants completed a survey administered by an interviewer. Stress levels were assessed using the Perceived Stress Scale. Information regarding weekly ultra-processed food consumption was collected. Ultra-processed foods were classified into four groups: sugary drinks; sugary foods; fast foods; and canned foods, frozen foods, or processed meat. The Student’s t-test or one-way analysis of variance was used to assess the differences in stress levels and ultra-processed food consumption. Ordinal regression was used to determine the association between the degrees of stress and ultra-processed food consumption levels. Results: Factors such as a young age, being unmarried, smoking, high-risk alcohol consumption, negative health perception, and high perceived stress level indicated higher rates of ultra-processed food consumption. Ordinal regression analysis showed that high stress levels were associated with increased odds of higher ultra-processed food consumption (odds ratio: 1.94; 95% CI: 1.54–2.45). Conclusions: These findings could help identify appropriate target areas for interventions aimed at mental health promotion and healthier food consumption.

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.

Objective: We evaluated the cost-effectiveness of the point-of-care A1c (POC-A1c) test device vs. the traditional laboratory dosage in a primary care setting for people living with type 2 diabetes.Materials and Methods: The Markov model with a 10-year time horizon was based on data from the HealthRise project, in which a group of interventions was implemented to improve diabetes and hypertension control in the primary care network of the urban area of a Brazilian municipality. A POC-A1c device was provided to be used directly in a primary care unit, and for a period of 18 months, 288 patients were included in the point-of-care group, and 1,102 were included in the comparison group. Sensitivity analysis was performed via Monte Carlo simulation and tornado diagram.Results: The results indicated that the POC-A1c device used in the primary care unit was a cost-effective alternative, which improved access to A1c tests and resulted in an increased rate of early control of blood glucose. In the 10-year period, POC-A1c group presented a mean cost of US$10,503.48 per patient and an effectiveness of 0.35 vs. US$9,992.35 and 0.09 for the traditional laboratory test, respectively. The incremental cost was US$511.13 and the incremental effectiveness was 0.26, resulting in an incremental cost-effectiveness ratio of 1,947.10. In Monte Carlo simulation, costs and effectiveness ranged between $9,663.20–$10,683.53 and 0.33–0.37 for POC-A1c test group, and $9,288.28–$10,413.99 and 0.08–0.10 for traditional laboratory test group, at 2.5 and 97.5 percentiles. The costs for nephropathy, retinopathy, and cardiovascular disease and the probability of being hospitalized due to diabetes presented the greatest impact on the model’s result.Conclusion: This study showed that using POC-A1c devices in primary care settings is a cost-effective alternative for monitoring glycated hemoglobin A1c as a marker of blood glucose control in people living with type 2 diabetes. According to our model, the use of POC-A1c device in a healthcare unit increased the early control of type 2 diabetes and, consequently, reduced the costs of diabetes-related outcomes, in comparison with a centralized laboratory test.

Individuals who experience stress can engage in health-risk behaviours that may decrease work performance. The aim of this study was to determine perceived stress levels in Brazilian workers and verify whether perceived stress was associated with health-risk behaviours. Stress levels of 1,270 workers (1,019 men, 251 women) were assessed using the Perceived Stress Scale. The health-risk behaviours investigated were low intake of vegetables and fruits, daily smoking, high-risk alcohol consumption, physical inactivity, and the presence of obesity. The Student’s t-test or one-way analysis of variance was used to assess differences in stress levels. Ordinal regression was used to determine the association between the degrees of stress and health-risk behaviours. Women had higher perceived stress levels than men. In addition, perceived stress levels were higher in those who had low socioeconomic status, were unmarried, had a negative perception of their health, were smokers, or had obesity. Smoking and the presence of two or more health-risk behaviours were associated with 1.84 (95% CI: 1.24–2.73) times and 1.49 (95% CI: 1.18–1.89) times higher odds of experiencing higher degrees of stress, respectively. In women, such an association was observed with the presence of obesity (odds ratio: 2.0; 95% CI: 1.01–3.98).

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.

Objetivou-se estimar a prevalência de hipertensão arterial, como principal marcador de doença crônica não transmissível (DCNT), e identificar os fatores modificáveis associados, em trabalhadores homens. Foram utilizados dados da linha de base de um estudo longitudinal com uma amostra de 1.024 trabalhadores homens com 18 anos ou mais de um município do Nordeste do Brasil. O marcador de DCNT foi a hipertensão arterial, definida por pressão arterial sistólica ≥ 140mmHg e/ou pressão arterial diastólica ≥ 90mmHg e/ou diagnóstico prévio de hipertensão arterial e/ou uso de medicamentos anti-hipertensivos. Empregou-se a regressão de Poisson com variância robusta, adotando a entrada hierárquica de variáveis. Foram calculadas frações atribuíveis populacionais (FAP) para as variáveis de estilo de vida, a fim de dimensionar o impacto dos fatores modificáveis na saúde dos trabalhadores. A prevalência da hipertensão arterial nesta população foi de 28,6% (IC95%: 25,9-31,5), os fatores distais: idade > 40 anos, cor da pele preta e renda familiar ≥ 3 salários mínimos; fatores intermediários: consumo abusivo de álcool, consumo de tabaco, percepção de um consumo elevado de sal e inatividade física e o fator proximal: sobrepeso e obesidade associaram-se positivamente com a hipertensão arterial. O cálculo da FAP permitiu observar que se ocorresse a redução ou eliminação de hábitos e comportamentos relacionados ao estilo de vida deste público, reduziria em 56,1% a prevalência da DCNT estudada. A identificação de fatores modificáveis e como estes podem interferir negativamente na saúde de trabalhadores homens possibilita o planejamento de intervenções no próprio local de trabalho, a fim de alcançar o maior número de indivíduos, visando reduzir os efeitos deletérios das DCNT.