{"title":"Advances in Gender-Transformative Approaches to Health Promotion.","authors":"J. Fisher, S. Makleff","doi":"10.1146/annurev-publhealth-121019-053834","DOIUrl":"https://doi.org/10.1146/annurev-publhealth-121019-053834","url":null,"abstract":"Gender is an important determinant of health, but explicit attention to gender is often missing in health promotion. We build on Pederson and colleagues' gender-transformative framework for health promotion to propose four guiding principles for gender-transformative health promotion. First, health promotion must address gender norms directly if it is to improve health outcomes. Second, it should move beyond individual change to engage explicitly with structural and social determinants of health. Third, it should address underlying gender-related determinants in order to influence health outcomes. And fourth, it requires complexity-informed design, implementation, and evaluation. We provide background on key concepts that are essential for designing, implementing, and evaluating gender-transformative health promotion: gender norms, socioecological approaches, and the gender system. We give examples of the four principles in practice, using the case of postnatal mental health promotion in Australia and sexuality education in Mexico. These four principles can be applied to health promotion efforts across contexts and outcomes to address the harmful gender norms that contribute to poor health as a part of broader efforts to improve health and well-being.","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"43 1","pages":"1-17"},"PeriodicalIF":20.8,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46344802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rachel C Shelton, Morgan M Philbin, Shoba Ramanadhan
{"title":"Qualitative Research Methods in Chronic Disease: Introduction and Opportunities to Promote Health Equity.","authors":"Rachel C Shelton, Morgan M Philbin, Shoba Ramanadhan","doi":"10.1146/annurev-publhealth-012420-105104","DOIUrl":"10.1146/annurev-publhealth-012420-105104","url":null,"abstract":"<p><p>Public health research that addresses chronic disease has historically underutilized and undervalued qualitative methods. This has limited the field's ability to advance (<i>a</i>) a more in-depth understanding of the factors and processes that shape health behaviors, (<i>b</i>) contextualized explanations of interventions' impacts (e.g., why and how something did or did not work for recipients and systems), and (<i>c</i>) opportunities for building and testing theories. We introduce frameworks and methodological approaches common to qualitative research, discuss how and when to apply them in order to advance health equity, and highlight relevant strengths and challenges. We provide an overview of data collection, sampling, and analysis for qualitative research, and we describe research questions that can be addressed by applying qualitative methods across the continuum of chronic disease research. Finally, we offer recommendations to promote the strategic application of rigorous qualitative methods, with an emphasis on priority areas to enhance health equity across the evidence generation continuum.</p>","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"43 ","pages":"37-57"},"PeriodicalIF":20.8,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580302/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9940853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Keon L Gilbert, Yusuf Ransome, Lorraine T Dean, Jerell DeCaille, Ichiro Kawachi
{"title":"Social Capital, Black Social Mobility, and Health Disparities.","authors":"Keon L Gilbert, Yusuf Ransome, Lorraine T Dean, Jerell DeCaille, Ichiro Kawachi","doi":"10.1146/annurev-publhealth-052020-112623","DOIUrl":"10.1146/annurev-publhealth-052020-112623","url":null,"abstract":"<p><p>This review aims to delineate the role of structural racism in the formation and accumulation of social capital and to describe how social capital is leveraged and used differently between Black and White people as a response to the conditions created by structural racism. We draw on critical race theory in public health praxis and restorative justice concepts to reimagine a race-conscious social capital agenda. We document how American capitalism has injured Black people and Black communities' unique construction of forms of social capital to combat systemic oppression. The article proposes an agenda that includes communal restoration that recognizes forms of social capital appreciated and deployed by Black people in the United States that can advance health equity and eliminate health disparities. Developing a race-conscious social capital framing that is inclusive of and guided by Black community members and academics is critical to the implementation of solutions that achieve racial and health equity and socioeconomic mobility.</p>","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"43 ","pages":"173-191"},"PeriodicalIF":21.4,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9473847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing Diabetes Prevention and Control in American Indians and Alaska Natives.","authors":"Julie E Lucero, Yvette Roubideaux","doi":"10.1146/annurev-publhealth-093019-010011","DOIUrl":"10.1146/annurev-publhealth-093019-010011","url":null,"abstract":"<p><p>As with many Indigenous populations globally, American Indians and Alaska Natives (AI/ANs) experience high rates of type 2 diabetes. Prevention efforts, ongoing medical care, patient self-management education, and support to prevent and reduce the risk of long-term complications must be developed to limit the impact of diabetes on individuals, families, and communities. Diabetes prevention and control require both individual- and community-level efforts as well as policies that attempt to mitigate contributing adverse socioeconomic factors. Congressional funding since 1998 continues to address the epidemic of diabetes in AI/AN groups with the Special Diabetes Program for Indians (SDPI), which has resulted in significant outcomes and key lessons that can inform new efforts to prevent diabetes in other populations and communities. The purpose of this review is to understand the context behind the epidemic of diabetes in AI/ANs, review the impact of the SDPI on prevention and control of diabetes as well as the translation of these strategies into clinical practice and their influence on health practice, and identify lessons learned for future efforts to address this ongoing challenge for AI/AN and other communities suffering from type 2 diabetes.</p>","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"43 ","pages":"461-475"},"PeriodicalIF":20.8,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924140/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9254684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chantel L Martin, Lea Ghastine, Evans K Lodge, Radhika Dhingra, Cavin K Ward-Caviness
{"title":"Understanding Health Inequalities Through the Lens of Social Epigenetics.","authors":"Chantel L Martin, Lea Ghastine, Evans K Lodge, Radhika Dhingra, Cavin K Ward-Caviness","doi":"10.1146/annurev-publhealth-052020-105613","DOIUrl":"10.1146/annurev-publhealth-052020-105613","url":null,"abstract":"<p><p>Longstanding racial/ethnic inequalities in morbidity and mortality persist in the United States. Although the determinants of health inequalities are complex, social and structural factors produced by inequitable and racialized systems are recognized as contributing sources. Social epigenetics is an emerging area of research that aims to uncover biological pathways through which social experiences affect health outcomes. A growing body of literature links adverse social exposures to epigenetic mechanisms, namely DNA methylation, offering a plausible pathway through which health inequalities may arise. This review provides an overview of social epigenetics and highlights existing literature linking social exposures-i.e., psychosocial stressors, racism, discrimination, socioeconomic position, and neighborhood social environment-to DNA methylation in humans. We conclude with a discussion of social epigenetics as a mechanistic link to health inequalities and provide suggestions for future social epigenetics research on health inequalities.</p>","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"43 1","pages":"235-254"},"PeriodicalIF":21.4,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49083278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk Measures: Robustness, Elicitability, and Backtesting.","authors":"X. He, S. Kou, X. Peng","doi":"10.1146/annurev-statistics-030718-105122","DOIUrl":"https://doi.org/10.1146/annurev-statistics-030718-105122","url":null,"abstract":"Risk measures are used not only for financial institutions' internal risk management but also for external regulation (e.g., in the Basel Accord for calculating the regulatory capital requirements for financial institutions). Though fundamental in risk management, how to select a good risk measure is a controversial issue. We review the literature on risk measures, particularly on issues such as subadditivity, robustness, elicitability, and backtesting. We also aim to clarify some misconceptions and confusions in the literature. In particular, we argue that, despite lacking some mathematical convenience, the median shortfall-that is, the median of the tail loss distribution-is a better option than the expected shortfall for setting the Basel Accords capital requirements due to statistical and economic considerations such as capturing tail risk, robustness, elicitability, backtesting, and surplus invariance. Expected final online publication date for the Annual Review of Statistics, Volume 9 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":" ","pages":""},"PeriodicalIF":20.8,"publicationDate":"2021-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49391179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Markov Chain Monte Carlo in Practice.","authors":"Galin L. Jones, Qian Qin","doi":"10.1146/annurev-statistics-040220-090158","DOIUrl":"https://doi.org/10.1146/annurev-statistics-040220-090158","url":null,"abstract":"Markov chain Monte Carlo (MCMC) is an essential set of tools for estimating features of probability distributions commonly encountered in modern applications. For MCMC simulation to produce reliable outcomes, it needs to generate observations representative of the target distribution, and it must be long enough so that the errors of Monte Carlo estimates are small. We review methods for assessing the reliability of the simulation effort, with an emphasis on those most useful in practically relevant settings. Both strengths and weaknesses of these methods are discussed. The methods are illustrated in several examples and in a detailed case study. Expected final online publication date for the Annual Review of Statistics, Volume 9 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"1 1","pages":""},"PeriodicalIF":20.8,"publicationDate":"2021-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45634222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Methods to Address Confounding and Other Biases in Meta-Analyses: Review and Recommendations.","authors":"Maya B. Mathur, T. VanderWeele","doi":"10.31219/osf.io/v7dtq","DOIUrl":"https://doi.org/10.31219/osf.io/v7dtq","url":null,"abstract":"Meta-analyses contribute critically to cumulative science, but they can produce misleading conclusions if their constituent primary studies are biased, for example by unmeasured confounding in nonrandomized studies. We provide practical guidance on how meta-analysts can address confounding and other biases that affect studies' internal validity, focusing primarily on sensitivity analyses that help quantify how biased the meta-analysis estimates might be. We review a number of sensitivity analysis methods to do so, especially recent developments that are straightforward to implement and interpret and that use somewhat less stringent statistical assumptions than do earlier methods. We give recommendations for how these newer methods could be applied in practice and illustrate using a previously published meta-analysis. Sensitivity analyses can provide informative quantitative summaries of evidence strength, and we suggest reporting them routinely in meta-analyses of potentially biased studies. This recommendation in no way diminishes the importance of defining study eligibility criteria that reduce bias and of characterizing studies' risks of bias qualitatively. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":" ","pages":""},"PeriodicalIF":20.8,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48357725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew W Kreuter, Tess Thompson, Amy McQueen, Rachel Garg
{"title":"Addressing Social Needs in Health Care Settings: Evidence, Challenges, and Opportunities for Public Health.","authors":"Matthew W Kreuter, Tess Thompson, Amy McQueen, Rachel Garg","doi":"10.1146/annurev-publhealth-090419-102204","DOIUrl":"10.1146/annurev-publhealth-090419-102204","url":null,"abstract":"<p><p>There has been an explosion of interest in addressing social needs in health care settings. Some efforts, such as screening patients for social needs and connecting them to needed social services, are already in widespread practice. These and other major investments from the health care sector hint at the potential for new multisector collaborations to address social determinants of health and individual social needs. This article discusses the rapidly growing body of research describing the links between social needs and health and the impact of social needs interventions on health improvement, utilization, and costs. We also identify gaps in the knowledge base and implementation challenges to be overcome. We conclude that complementary partnerships among the health care, public health, and social services sectors can build on current momentum to strengthen social safety net policies, modernize social services, and reshape resource allocation to address social determinants of health.</p>","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"42 ","pages":"329-344"},"PeriodicalIF":20.8,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-publhealth-090419-102204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10724824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kristie L Ebi, Jennifer Vanos, Jane W Baldwin, Jesse E Bell, David M Hondula, Nicole A Errett, Katie Hayes, Colleen E Reid, Shubhayu Saha, June Spector, Peter Berry
{"title":"Extreme Weather and Climate Change: Population Health and Health System Implications.","authors":"Kristie L Ebi, Jennifer Vanos, Jane W Baldwin, Jesse E Bell, David M Hondula, Nicole A Errett, Katie Hayes, Colleen E Reid, Shubhayu Saha, June Spector, Peter Berry","doi":"10.1146/annurev-publhealth-012420-105026","DOIUrl":"https://doi.org/10.1146/annurev-publhealth-012420-105026","url":null,"abstract":"<p><p>Extreme weather and climate events, such as heat waves, cyclones, and floods, are an expression of climate variability. These events and events influenced by climate change, such as wildfires, continue to cause significant human morbidity and mortality and adversely affect mental health and well-being. Although adverse health impacts from extreme events declined over the past few decades, climate change and more people moving into harm's way could alter this trend. Long-term changes to Earth's energy balance are increasing the frequency and intensity of many extreme events and the probability of compound events, with trends projected to accelerate under certain greenhouse gas emissions scenarios. While most of these events cannot be completely avoided, many of the health risks could be prevented through building climate-resilient health systems with improved risk reduction, preparation, response, and recovery. Conducting vulnerability and adaptation assessments and developing health system adaptation plans can identify priority actions to effectively reduce risks, such as disaster risk management and more resilient infrastructure. The risks are urgent, so action is needed now.</p>","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":"42 ","pages":"293-315"},"PeriodicalIF":20.8,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013542/pdf/nihms-1795796.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10219359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}