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.

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.

Blood pressure measurements taken in a clinical setting are subject to errors, therefore there are advantages to monitoring blood pressure at home, especially in in patients diagnosed with hypertension. The study describes the feasibility of home monitoring to assess blood pressure in primary care and compares blood pressure measured at home and during a medical consultation. This cross-sectional study was carried out with patients whose used home blood pressure in the morning and evening, thrice for seven consecutive day sat home. Participants included patients older than 18 years with suspected whitecoat hypertension, taking antihypertensives, or those intolerant of ambulatory blood pressure monitoring, and excluded patients who did not follow the protocol, suffered from an irregular heart rate, and pregnant women. Of the 134 patients who participated in the study, 63.3% had altered blood pressure when measured at health facilities and 48% had higher blood pressure at home. The mean difference between the methods was 10.1 mmHg for systolic and 4.3 mmHg for diastolic. The prevalence of whitecoat hypertension was 19.4%. Blood pressure monitoring at home is a practicable strategy in the Brazilian healthcare system.

This case report aims to describe the conception and preliminary data of the implementation of a telescreening and telemonitoring program of covid-19 for users of the Unified Health System with risk conditions. A system of telerscreening was implemented through which undergraduate students in the health area contact patients by telephone, according to periodicity and predefined criteria, to monitor the evolution of the condition. In eight weeks, 2,190 attempts at remote contact were made with individuals from five health units. The effective number of individuals monitored at the time this writing is 802.