A Policy-Ready Public Health Guidebook of Strategies and Indicators to Promote Financial Well-Being and Address Financial Strain in Response to COVID-19

Introduction The COVID-19 pandemic has adversely affected the financial well-being of populations globally, escalating concerns about links with health care and overall well-being. Governments and organizations need to act quickly to protect population health relative to exacerbated financial strain. However, limited practice and policy-relevant resources are available to guide action, particularly from a public health perspective, that is, targeting equity, social determinants of health, and health-in-all policies. Our study aimed to create a public health guidebook of strategies and indicators for multisectoral action on financial well-being and financial strain by decision makers in high-income contexts. Methods We used a multimethod approach to create the guidebook. We conducted a targeted review of existing theoretical and conceptual work on financial well-being and strain. By using rapid review methodology informed by principles of realist review, we collected data from academic and practice-based sources evaluating financial well-being or financial strain initiatives. We performed a critical review of these sources. We engaged our research–practice team and government and nongovernment partners and participants in Canada and Australia for guidance to strengthen the tool for policy and practice. Results The guidebook presents 62 targets, 140 evidence-informed strategies, and a sample of process and outcome indicators. Conclusion The guidebook supports action on the root causes of poor financial well-being and financial strain. It addresses a gap in the academic literature around relevant public health strategies to promote financial well-being and reduce financial strain. Community organizations, nonprofit organizations, and governments in highincome countries can use the guidebook to direct initiative design, implementation, and assessmen

Happy life expectancy among older adults: differences by sex and functional limitations

ABSTRACT OBJECTIVE To evaluate if the happy life expectancy in older adults differs according to sex and functional limitations. METHODS Life expectancy was estimated by Chiang method, and happy life expectancy was estimated by Sullivan method, combining mortality data with the prevalence of happiness. The questions on happiness and limitations came from a health survey, which interviewed 1,514 non-institutionalized older adults living in the city of Campinas, SP, Southeastern Brazil. The happy life expectancy was estimated by sex, age, and functional limitations. Based on the variance and standard error of the happy life expectancy, we estimated 95% confidence intervals, which allowed us to compare the statistical differences of the number of happy years lived among men and women. RESULTS Differences by sex in happy life expectancy were significant at ages 60, 65, and 70. In absolute terms, women live more years happily. But, in relative terms, older men could expect to live proportionally more years with happiness. Happy life expectancy decreased significantly with increasing age in both men and women. Among older people living without functional limitation, differences by sex were statistically significant in all age groups, except at age 80. In the group with limitations, no significant differences by sex were found. Significant differences between the group without and with functional limitations were seen in both men and women. CONCLUSIONS Older men could expect to live a greater proportion of their lives happily in comparison to same-aged women, but women show more years with happiness than men. Functional limitations have a significant impact on happy life expectancy for both sexes

Mortalidade de idosos em município do Sudeste brasileiro de 2006 a 2011

O objetivo foi descrever a mortalidade entre idosos em Araraquara (SP), no período de 2006 a 2011. Estudo epidemiológico descritivo, tendo como fontes de dados o Sistema de Informações sobre Mortalidade e a Fundação Sistema Estadual de Análise de Dados. Foi calculada razão entre coeficientes de mortalidade por ponto (R) e por intervalo de 95% de confiança (IC95%). Observou-se mais de 60% dos idosos com nível baixo de escolaridade, sendo que 76% faleceram em hospitais. Entre 2006 e 2008, as diferenças foram estatisticamente significantes entre homens e mulheres, predominando as doenças circulatórias com R = 1,41 (IC95%:1,24-1,58), respiratórias com R = 1,49 (IC95%:1,22-1,76) e neoplasias com R = 1,79 (IC95%: 1,40-2,18). Entre 2009 e 2011, obteve-se, para as causas circulatórias R = 1,18 (IC95%:1,03-1,33), sendo significativas as diferenças para as respiratórias com R = 1,33 (IC95%:1,11-1,55) e câncer sendo R = 1,94 (IC95%:1,53-2,35). O diabetes mellitus e as causas externas apareceram, respectivamente, como quarta e quinta causas de mortes mais frequentes na população idosa. O padrão de mortalidade encontrado ressalta a importância de ações voltadas à redução das principais causas de morte, como o incremento da cobertura da vacina contra a influenza e o controle da hipertensão arterial e do diabetes mellitus.This paper addressed the mortality rate for elderly people in Araraquara in the state of São Paulo between 2006 and 2011. An epidemiological descriptive study was conducted using data from the National Mortality Information System and the Data Analysis State System Foundation. The ratio between mortality rates by point (R) and by 95% confidence interval (IC95%) were estimated. More than 60% of elderly people had low education, and 76% of them died in hospital. For the period from 2006 to 2008 a statistically significant difference was observed between males and females, the most common causes of death being circulatory disease R = 1.41 (IC95%:1.24-1.58), respiratory problems R = 1.49 (IC95%:1.22-1.76), and cancer R = 1.79 (IC95%: 1.40-2.18). For the period from 2009 to 2011, circulatory diseases accounted for R=1.18 (IC95%:1.03-1.33)], and the differences were significant for respiratory disease R = 1.33 (IC95%:1.11-1.55) and cancer R = 1.94 (IC95%:1.53-2.35). The fourth and fifth more frequent causes of death among the elderly population were diabetes mellitus and external causes, respectively. The pattern of mortality found emphasizes the importance of actions aimed at reducing the major causes of death such as increasing the coverage of the influenza vaccine and control of hypertension and diabetes mellitus.Universidade Estadual Paulista Júlio de Mesquita Filho Faculdade de Ciências Farmacêuticas de Araraquara Departamento de Ciências BiológicasUNESP Faculdade de Odontologia Departamento de Odontologia SocialUniversidade Estadual Paulista Júlio de Mesquita Filho Faculdade de Ciências Farmacêuticas de Araraquara Departamento de Ciências BiológicasUNESP Faculdade de Odontologia Departamento de Odontologia Socia

Life expectancy at birth: impact of variation in mortality by age group and cause of death in Campinas, Sao Paulo State, Brazil

This study investigated the impact of variation in mortality by age group and cause of death on gains in life expectancy at birth in the city of Campinas, Sao Paulo State, Brazil, in 1991, 2000, and 2005. Life tables were constructed. Pollard's method was used to estimate the contributions by age group and cause of death on gains in life expectancy. In 1991-2000, the age group that most contributed was 0-1 year (31.1% for males and 22.9% for females). In 2000-2005, 79% of the gain for males was the result of mortality improvements in the 15-44-year bracket. Cardiovascular diseases made the largest contribution in 1991-2000 (66.1% for males and 43.5% for females). A loss in longevity was seen in men (1.1 year) resulting from increased mortality from external causes. In 2000-2005, the substantial gain (2.3 year) in male life expectancy was due to a reduction in mortality from external causes. Neoplasms had a negative effect on the gain (0.11 year for males and 0.15 for females). These findings should help support public health policies to reduce mortality risks and increase life expectancy.27587788