OBJETIVO: Descrever a tendência da mortalidade por suicídio e o perfil sociodemográfico, identificando diferenças de sexo e nível socioeconômico. MÉTODOS: Analisou-se a tendência das taxas brutas de suicídio, em Campinas, SP, no período 1976-2001, segundo o sexo. Para a análise sociodemográfica dos óbitos, no período de 1996-2001, foi utilizado o Banco de Dados de Óbitos de Campinas. Para a análise das diferenças socioeconômicas utilizou-se abordagem ecológica, em que as 42 áreas de abrangência das unidades básicas dos serviços de saúde foram agrupadas em quatro estratos homogêneos. Calcularam-se taxas padronizadas por idade (método direto). RESULTADOS: Comparando a outros países, a mortalidade por suicídio no município foi baixa (<5 ób/100.000 hab). A sobremortalidade masculina foi superior a 2,7 suicídios masculinos para cada suicídio feminino. Em 1980-1985 as maiores taxas foram observadas nos adultos de 55 anos e mais; já em 1997-2001 as taxas são mais elevadas nos adultos de 35-54 anos. Entre os homens, os meios mais utilizados são o enforcamento (36,4%) e as armas de fogo (31,8%). Entre as mulheres predomina o envenenamento (24,2%), seguido pelas armas de fogo e enforcamento (21,2% cada); este último ocorreu predominantemente no domicílio (75,7%); já as mortes por arma de fogo e envenenamento ocorreram em maior proporção em hospitais. Diferentemente dos homicídios, os suicídios não apresentam aumento progressivo das taxas com a diminuição do nível socioeconômico. CONCLUSÕES: As taxas são baixas, oscilando com aumentos e declínios sucessivos, sem tendência continua de crescimento ou redução. Os riscos de morte por suicídio são maiores nos homens e não aumentam com a redução do nível socioeconômico.

The aim of this study was to describe the prevalence of disabilities according to demographic and socioeconomic characteristics, as well as to determine the main causes. The research used data from two population-based health surveys in São Paulo State, Brazil, in 2002 and 2003, designed

Background Our aim was to investigate the mediating role of worsening sleep quality in the association of the incidence of physical inactivity, high TV-viewing, and high computer/tablet use with loneliness, sadness, and anxiety. Methods Data of 45,160 Brazilian adults from a nationwide behavior survey, conducted between April 24th and May 24th (2020), were used. Participants reported physical inactivity (PI; <150 min/week), high TV-viewing (TV; ≥4 h/day), and high computer/tablet use (PC; ≥4 h/day) before and during COVID-19 quarantine (exposures). For incidence indicators, we only considered participants without the risk behavior before quarantine. Changes in sleep quality during the quarantine period (maintained/got better or worsened) were treated as a mediator. Elevated frequencies of feelings of loneliness, sadness (feel sad, crestfallen, or depressed), and anxiety (feel worried, anxious, or nervous) during the pandemic period were the study outcomes. Analyses were adjusted for sex, age group, highest academic achievement, working status during quarantine, skin color, previous diagnosis of depression, and adherence to quarantine. Mediation models were created using the Karlson Holm Breen method. Results The incidence of PI, high TV, and high PC use was associated with loneliness, sadness, and anxiety feelings. Worsening sleep quality partly mediated the association of the incidence of PI, high TV, and high PC use with loneliness (PI:30.9%; TV:19.6%; PC: 30.5%), sadness (PI:29.8%; TV:29.3%; PC: 39.1%), and anxiety (PI:21.9%; TV:30.0%; PC:38.5%). Conclusion The association of the incidence of physical inactivity and sedentary behaviors with mental health indicators is partly mediated by worsening sleep quality during the COVID-19 pandemic quarantine.

GDM was disclosed as a risk factor for non-elective cesarean section. Knowledge of the condition may have influenced obstetrical practice, favoring cesarean delivery.

Objective: Our aim was to analyze the association of change patterns on TV-viewing and computer/tablet use and incidence of elevated consumption of ultra-processed food consumption and lower consumption of fruits and vegetables during the COVID-19 pandemic. Design: Data of 39,208 Brazilian adults from the Behavior Web Survey were used. Unhealthy nutrition habits were eating fruits or vegetables (< 5 day/week) and ultra-processed food (sugary foods, snacks, ready-to-eat frozen foods and embedded foods) (≥5 days/week). For incidence indicators, we only considered participants without the unhealthy behavior before the quarantine. We created four categories of change in TV-viewing and computer/tablet use, considering a cut-off point of 4h/d for each behavior (1-consistently low, 2-become low during the quarantine, 3-become high during the quarantine or 4-consistently high). Analyses were adjusted for sex, age group, highest academic achievement, per capita income, working status during the quarantine, skin color and adherence to the quarantine. Setting: Brazil Participants: Brazilian adults (nationally representative). Results: Logistic regression models revealed that high TV-viewing and computer/tablet use incidence were associated with higher odds for elevated frequency of ultra-processed food consumption (TV-viewing: OR: 1.70; 95%CI: 1.37 to 2.12; computer/tablet: 1.73; 1.31 to 2.27) and low consumption of fruit and vegetables (TV-viewing: 1.70; 1.29 to 2.23; computer/tablet: 1.53; 1.08 to 2.17) incidence. Consistent high computer/tablet use also presented higher odds for incidence of elevated frequency of ultra-processed food consumption. Conclusions: Participants with incidence of sedentary behaviors were more likely to also present incidence of unhealthy diet during the COVID-19 pandemic quarantine.

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Our aim was to analyze the prevalence of unhealthy movement behavior clusters before and during the COVID-19 pandemic, as well as to investigate whether changes in the number of unhealthy behaviors during the COVID-19 pandemic quarantine were associated with mental health indicators. Data of 38,353 Brazilian adults from a nationwide behavior research were used. For movement behaviors, participants reported the frequency and duration of physical activity and daily time on TV viewing and computer/tablet use before and during the pandemic period. Participants also reported the frequency of loneliness, sadness (feeling sad, crestfallen, or depressed), and anxiety feelings (feeling worried, anxious, or nervous) during the pandemic period. Sex, age group, highest academic achievement, working status during quarantine, country region, and time adhering to the quarantine were used as correlates. We used descriptive statistics and logistic regression models for the data analysis. The prevalence of all movement behavior clusters increased during the COVID-19 pandemic. The cluster of all three unhealthy movement behaviors increased from 4.6% (95% confidence interval [CI]: 3.9–5.4) to 26.2% (95% CI: 24.8–27.7). Younger adults, people with higher academic achievement, not working or working at home, and those with higher time in quarantine presented higher clustering. People that increased one and two or three unhealthy movement behaviors were, respectively, more likely to present loneliness (odds ratio [OR] = 1.41 [95% CI: 1.21–1.65] and OR = 1.71 [95% CI: 1.42–2.07]), sadness (OR = 1.25 [95% CI: 1.06–1.48] and OR = 1.73 [95% CI: 1.42–2.10]), and anxiety (OR = 1.34 [95% CI: 1.13–1.57] and OR = 1.78 [95% CI: 1.46–2.17]) during the COVID-19 quarantine. Clustering of unhealthy movement behaviors substantially increased and was associated with poorer mental health during the COVID-19 pandemic.

BackgroundThis study examined gender differences in healthy life expectancy (HLE) and unhealthy life expectancy (UHLE) among people aged 60 years or older living in a large Brazilian city.MethodsBased on Chiang method, abridged life tables were constructed for men and for women. To calculate HLE, the Sullivan method was applied. Estimates of the prevalence of self-rated health and self-reported functional disability (global, mild/moderate, and severe) were obtained from a population-based household survey carried out in 2008, which involved non-institutionalized individuals.ResultsFindings showed that women live longer and these extra years would be spent in good self-rated health. For example, women aged 60 would live, on average, 4 more years in good health in comparison to men. In terms of global limitations and mild/moderate limitations, no gender differences were detected for HLE. However, UHLE was statistically higher among women than among men at all ages in the global limitations and mild/moderate limitations (except for the age 80). Women at age 60, for instance, could expect to live 3.1 years longer with mild/moderate limitations compared to men. Gender differences were identified for severe limitations for either HLE or UHLE. In comparison to men, women at age 60, for example, would expect to live 2.5 and 2.0 more years without and with severe limitations.ConclusionsBy showing that the advantage of longer life expectancy among women is not necessarily accompanied by worse health conditions, these findings add some evidence to the debate about male-female health-survival paradox. Policy efforts are necessary to reduce gender differences in the quantity and quality of years to be lived, providing equal opportunities to women and men live longer with quality of life, autonomy, and independence.