Epidemologia psiquiátrica. Novos desafios para o século XXI

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Atividade física e saúde mental: a associação entre exercício e humor

A atividade física é, por seus efeitos no tratamento e na prevenção de várias patologias, um importante instrumento de saúde pública, sendo útil, inclusive, no tratamento de doenças psiquiátricas como transtornos depressivos e ansiosos. Todavia, além dos benefícios, a atividade física também está associada a prejuízos para a saúde mental, aparecendo ligada a quadros como "exercício excessivo" e "síndrome de 'overtraining'", segundo alguns estudos. Trabalhos sobre os efeitos de atividade física na saúde mental vêm se tornando mais comuns, no entanto ainda não permitem um conhecimento maior sobre os mecanismos implicados nos benefícios e malefícios associados a este tipo de atividade. Este artigo procura revisar os conhecimentos disponíveis sobre as relações entre atividade física e saúde mental, principalmente no que se refere à ligação existente entre exercício e humor.Physical activity is an important public health tool used in the treatment and prevention of various physical diseases, as well as in the treatment of some psychiatric diseases such as depressive and anxiety disorders. However, studies have shown that in addition to its beneficial effects, physical activity can also be associated with impaired mental health, being related to disturbances like "excessive exercise" and "overtraining syndrome". Although the number of reports of the effects of physical activity on mental health is steadily increasing, these studies have not yet identified the mechanisms involved in the benefits and dangers to mental health associated with exercise. This article reviews the information available regarding the relationship between physical activity and mental health, specifically addressing the association between exercise and mood

Epidemiology of heavy drinking and heavy episodic drinking in Brazil: a systematic review of literature

CONTEXTO: O beber pesado episódico (BPE) tem sido fortemente associado a danos e a uma carga social consideráveis. OBJETIVOS: Este estudo tem como finalidade avaliar o panorama brasileiro a partir de aspectos sociodemográficos, fatores individuais e sociais relacionados ao beber pesado. MÉTODOS: A busca de artigos científicos foi realizada com base em um programa de computador nos principais bancos de dados científicos. RESULTADOS: Os homens beberam pesado mais freqüentemente que as mulheres. O beber pesado episódico foi mais prevalente em adolescentes e adultos jovens, e a prevalência tende a diminuir com o aumento da idade. As condições socioeconômicas parecem ter um efeito sobre o beber pesado. O início precoce do beber pesado esteve associado com história de dependência do álcool na vida adulta. O beber pesado episódico esteve associado ao uso concomitante de outras substâncias psicoativas. Os fatores de risco para BPE incluíram atividades sociais e disponibilidade de dinheiro. A pressão dos pares mostrou influenciar mais do que o suporte parental especialmente no final de adolescência. O BP também variou de acordo com a cultura, com mais episódios de BP no Sul em comparação com o Norte do País. CONCLUSÕES: Uma variedade de aspectos sociodemográficos e individuais associados ao beber pesado foi identificada. Porém, o conhecimento nessa área ainda é muito limitado. Mais pesquisas no Brasil são urgentemente necessárias visto que os resultados provenientes de outras culturas não podem ser generalizados.BACKGROUND: Heavy episodic drinking has been shown to be closely associated with considerable damage to and burden on society. OBJECTIVES: This review aims to give an overview of the Brazilian reality based on socio-demographic aspects, considering individual and social factors related to heavy drinking. METHODS: A computer-assisted search of relevant articles was conducted in the foremost scientific databases. RESULTS: Males tended to heavy drinking more frequently than females. Heavy episodic drinking was most prevalent among adolescents and young adults, though this prevalence tended to level off as they age. Socioeconomic conditions appear to have an effect on heavy drinking. The early onset of heavy drinking has been associated with a history of alcohol dependency in the adult phase. Heavy episodic drinking coincided with other psychoactive substance usage. Motives for heavy drinking included both social activities as well as the availability of money. Peer pressure was one of the strongest influencing factors in binge drinking and seemed to outweigh parental influence, particularly from late adolescence onward. Heavy drinking also varied according to both the predominant adult and adolescent drinking culture, with more binge drinking in the southern areas of Brazil as compared with the northern and central regions. CONCLUSIONS: A myriad of socio-demographical, individual, and social characteristics associated with heavy drinking have been identified. However, knowledge in these areas remain limited, as most research has been conducted on specific groups and situations, in particular, that of North American college students. More research in Brazil is urgently needed, as results from other cultural contexts should not be generalized

Epidemiologia do beber pesado e beber pesado episódico no Brasil: uma revisão sistemática da literatura

BACKGROUND: Heavy episodic drinking has been shown to be closely associated with considerable damage to and burden on society. OBJECTIVES: This review aims to give an overview of the Brazilian reality based on socio-demographic aspects, considering individual and social factors related to heavy drinking. METHODS: A computer-assisted search of relevant articles was conducted in the foremost scientific databases. RESULTS: Males tended to heavy drinking more frequently than females. Heavy episodic drinking was most prevalent among adolescents and young adults, though this prevalence tended to level off as they age. Socioeconomic conditions appear to have an effect on heavy drinking. The early onset of heavy drinking has been associated with a history of alcohol dependency in the adult phase. Heavy episodic drinking coincided with other psychoactive substance usage. Motives for heavy drinking included both social activities as well as the availability of money. Peer pressure was one of the strongest influencing factors in binge drinking and seemed to outweigh parental influence, particularly from late adolescence onward. Heavy drinking also varied according to both the predominant adult and adolescent drinking culture, with more binge drinking in the southern areas of Brazil as compared with the northern and central regions. CONCLUSIONS: A myriad of socio-demographical, individual, and social characteristics associated with heavy drinking have been identified. However, knowledge in these areas remain limited, as most research has been conducted on specific groups and situations, in particular, that of North American college students. More research in Brazil is urgently needed, as results from other cultural contexts should not be generalized.CONTEXTO: O beber pesado episódico (BPE) tem sido fortemente associado a danos e a uma carga social consideráveis. OBJETIVOS: Este estudo tem como finalidade avaliar o panorama brasileiro a partir de aspectos sociodemográficos, fatores individuais e sociais relacionados ao beber pesado. MÉTODOS: A busca de artigos científicos foi realizada com base em um programa de computador nos principais bancos de dados científicos. RESULTADOS: Os homens beberam pesado mais freqüentemente que as mulheres. O beber pesado episódico foi mais prevalente em adolescentes e adultos jovens, e a prevalência tende a diminuir com o aumento da idade. As condições socioeconômicas parecem ter um efeito sobre o beber pesado. O início precoce do beber pesado esteve associado com história de dependência do álcool na vida adulta. O beber pesado episódico esteve associado ao uso concomitante de outras substâncias psicoativas. Os fatores de risco para BPE incluíram atividades sociais e disponibilidade de dinheiro. A pressão dos pares mostrou influenciar mais do que o suporte parental especialmente no final de adolescência. O BP também variou de acordo com a cultura, com mais episódios de BP no Sul em comparação com o Norte do País. CONCLUSÕES: Uma variedade de aspectos sociodemográficos e individuais associados ao beber pesado foi identificada. Porém, o conhecimento nessa área ainda é muito limitado. Mais pesquisas no Brasil são urgentemente necessárias visto que os resultados provenientes de outras culturas não podem ser generalizados

Gender differences in drinking patterns and alcohol-related problems in a community sample in São Paulo, Brazil

OBJECTIVE: To investigate drinking patterns and gender differences in alcohol-related problems in a Brazilian population, with an emphasis on the frequency of heavy drinking. METHODS: A cross-sectional study was conducted with a probability adult household sample (n = 1,464) in the city of São Paulo, Brazil. Alcohol intake and ICD-10 psychopathology diagnoses were assessed with the Composite International Diagnostic Interview 1.1. The analyses focused on the prevalence and determinants of 12-month nonheavy drinking, heavy episodic drinking (4-5 drinks per occasion), and heavy and frequent drinking (heavy drinking at least 3 times/week), as well as associated alcohol-related problems according to drinking patterns and gender. RESULTS: Nearly 22% (32.4% women, 8.7% men) of the subjects were lifetime abstainers, 60.3% were non-heavy drinkers, and 17.5% reported heavy drinking in a 12-month period (26.3% men, 10.9% women). Subjects with the highest frequency of heavy drinking reported the most problems. Among subjects who did not engage in heavy drinking, men reported more problems than did women. A gender convergence in the amount of problems was observed when considering heavy drinking patterns. Heavy and frequent drinkers were twice as likely as abstainers to present lifetime depressive disorders. Lifetime nicotine dependence was associated with all drinking patterns. Heavy and frequent drinking was not restricted to young ages. CONCLUSIONS: Heavy and frequent episodic drinking was strongly associated with problems in a community sample from the largest city in Latin America. Prevention policies should target this drinking pattern, independent of age or gender. These findings warrant continued research on risky drinking behavior, particularly among persistent heavy drinkers at the non-dependent level

Gender differences in drinking patterns and alcohol-related problems in a community sample in São Paulo, Brazil

OBJECTIVE: To investigate drinking patterns and gender differences in alcohol-related problems in a Brazilian population, with an emphasis on the frequency of heavy drinking. METHODS: A cross-sectional study was conducted with a probability adult household sample (n = 1,464) in the city of São Paulo, Brazil. Alcohol intake and ICD-10 psychopathology diagnoses were assessed with the Composite International Diagnostic Interview 1.1. The analyses focused on the prevalence and determinants of 12-month nonheavy drinking, heavy episodic drinking (4-5 drinks per occasion), and heavy and frequent drinking (heavy drinking at least 3 times/week), as well as associated alcohol-related problems according to drinking patterns and gender. RESULTS: Nearly 22% (32.4% women, 8.7% men) of the subjects were lifetime abstainers, 60.3% were non-heavy drinkers, and 17.5% reported heavy drinking in a 12-month period (26.3% men, 10.9% women). Subjects with the highest frequency of heavy drinking reported the most problems. Among subjects who did not engage in heavy drinking, men reported more problems than did women. A gender convergence in the amount of problems was observed when considering heavy drinking patterns. Heavy and frequent drinkers were twice as likely as abstainers to present lifetime depressive disorders. Lifetime nicotine dependence was associated with all drinking patterns. Heavy and frequent drinking was not restricted to young ages. CONCLUSIONS: Heavy and frequent episodic drinking was strongly associated with problems in a community sample from the largest city in Latin America. Prevention policies should target this drinking pattern, independent of age or gender. These findings warrant continued research on risky drinking behavior, particularly among persistent heavy drinkers at the non-dependent level

Gender differences in drinking patterns and alcohol-related problems in a community sample in Sao Paulo, Brazil

OBJECTIVE: To investigate drinking patterns and gender differences in alcohol-related problems in a Brazilian population, with an emphasis on the frequency of heavy drinking. METHODS: A cross-sectional study was conducted with a probability adult household sample (n = 1,464) in the city of Sao Paulo, Brazil. Alcohol intake and ICD-10 psychopathology diagnoses were assessed with the Composite International Diagnostic Interview 1.1. The analyses focused on the prevalence and determinants of 12-month non-heavy drinking, heavy episodic drinking (4-5 drinks per occasion), and heavy and frequent drinking (heavy drinking at least 3 times/week), as well as associated alcohol-related problems according to drinking patterns and gender. RESULTS: Nearly 22% (32.4% women, 8.7% men) of the subjects were lifetime abstainers, 60.3% were non-heavy drinkers, and 17.5% reported heavy drinking in a 12-month period (26.3% men, 10.9% women). Subjects with the highest frequency of heavy drinking reported the most problems. Among subjects who did not engage in heavy drinking, men reported more problems than did women. A gender convergence in the amount of problems was observed when considering heavy drinking patterns. Heavy and frequent drinkers were twice as likely as abstainers to present lifetime depressive disorders. Lifetime nicotine dependence was associated with all drinking patterns. Heavy and frequent drinking was not restricted to young ages. CONCLUSIONS: Heavy and frequent episodic drinking was strongly associated with problems in a community sample from the largest city in Latin America. Prevention policies should target this drinking pattern, independent of age or gender. These findings warrant continued research on risky drinking behavior, particularly among persistent heavy drinkers at the non-dependent level.Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP, State of Sao Paulo Research Foundation) [93/0501-4]Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP, State of Sao Paulo Research Foundation)Sao Paulo Research Foundation (FAPESP)Sao Paulo Research Foundation (FAPESP)National Council for Scientific and Technological Development (CNPq), BrazilNational Council for Scientific and Technological Development (CNPq), Brazi

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation