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Jones NL, Gilman SE, Cheng TL, Drury SS, Hill CV, Geronimus AT. Life Course Approaches to the Causes of Health Disparities. Am J Public Health 2020; 109:S48-S55. [PMID: 30699022 DOI: 10.2105/ajph.2018.304738] [Citation(s) in RCA: 159] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Reducing health disparities requires an understanding of the mechanisms that generate disparities. Life course approaches to health disparities leverage theories that explain how socially patterned physical, environmental, and socioeconomic exposures at different stages of human development shape health within and across generations and can therefore offer substantial insight into the etiology of health disparities. Life course approaches are informed by developmental and structural perspectives. Developmental perspectives emphasize how socially patterned exposures to risk factors during sensitive life stages shift health trajectories, whereas structural perspectives emphasize how social identity and position within socially patterned environments disproportionately allocate risk factors and resources, resulting in altered health trajectories. We conclude that the science of health disparities will be advanced by integrating life course approaches into etiologic and intervention research on health disparities. The following 4 strategies are offered to guide in this process: (1) advance the understanding of multiple exposures and their interactions, (2) integrate life course approaches into the understanding of biological mechanisms, (3) explore transgenerational transmission of health disparities, and (4) integrate life course approaches into health disparities interventions.
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Affiliation(s)
- Nancy L Jones
- Nancy L. Jones is with Community Health and Population Sciences, Division of Extramural Scientific Programs, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD. Stephen E. Gilman is with Social and Behavioral Sciences, Division of Intramural Population Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, and Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Tina L. Cheng is with Department of Pediatrics, Johns Hopkins University School of Medicine, Department of Population, Family & Reproductive Health, Bloomberg School of Public Health, and Johns Hopkins Children's Center, Baltimore, MD. Stacy S. Drury is with the Department of Psychiatry and Behavioral Sciences and Department of Pediatrics, Tulane University School of Medicine, Tulane Brain Institute, Tulane University, New Orleans, LA. Carl V. Hill is with the Office of Special Populations, National Institute on Aging, National Institutes of Health. Arline T. Geronimus is with the Department of Health Behavior and Health Education, School of Public Health, Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor. Nancy Jones is also a Guest Editor for this supplement issue
| | - Stephen E Gilman
- Nancy L. Jones is with Community Health and Population Sciences, Division of Extramural Scientific Programs, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD. Stephen E. Gilman is with Social and Behavioral Sciences, Division of Intramural Population Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, and Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Tina L. Cheng is with Department of Pediatrics, Johns Hopkins University School of Medicine, Department of Population, Family & Reproductive Health, Bloomberg School of Public Health, and Johns Hopkins Children's Center, Baltimore, MD. Stacy S. Drury is with the Department of Psychiatry and Behavioral Sciences and Department of Pediatrics, Tulane University School of Medicine, Tulane Brain Institute, Tulane University, New Orleans, LA. Carl V. Hill is with the Office of Special Populations, National Institute on Aging, National Institutes of Health. Arline T. Geronimus is with the Department of Health Behavior and Health Education, School of Public Health, Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor. Nancy Jones is also a Guest Editor for this supplement issue
| | - Tina L Cheng
- Nancy L. Jones is with Community Health and Population Sciences, Division of Extramural Scientific Programs, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD. Stephen E. Gilman is with Social and Behavioral Sciences, Division of Intramural Population Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, and Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Tina L. Cheng is with Department of Pediatrics, Johns Hopkins University School of Medicine, Department of Population, Family & Reproductive Health, Bloomberg School of Public Health, and Johns Hopkins Children's Center, Baltimore, MD. Stacy S. Drury is with the Department of Psychiatry and Behavioral Sciences and Department of Pediatrics, Tulane University School of Medicine, Tulane Brain Institute, Tulane University, New Orleans, LA. Carl V. Hill is with the Office of Special Populations, National Institute on Aging, National Institutes of Health. Arline T. Geronimus is with the Department of Health Behavior and Health Education, School of Public Health, Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor. Nancy Jones is also a Guest Editor for this supplement issue
| | - Stacy S Drury
- Nancy L. Jones is with Community Health and Population Sciences, Division of Extramural Scientific Programs, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD. Stephen E. Gilman is with Social and Behavioral Sciences, Division of Intramural Population Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, and Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Tina L. Cheng is with Department of Pediatrics, Johns Hopkins University School of Medicine, Department of Population, Family & Reproductive Health, Bloomberg School of Public Health, and Johns Hopkins Children's Center, Baltimore, MD. Stacy S. Drury is with the Department of Psychiatry and Behavioral Sciences and Department of Pediatrics, Tulane University School of Medicine, Tulane Brain Institute, Tulane University, New Orleans, LA. Carl V. Hill is with the Office of Special Populations, National Institute on Aging, National Institutes of Health. Arline T. Geronimus is with the Department of Health Behavior and Health Education, School of Public Health, Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor. Nancy Jones is also a Guest Editor for this supplement issue
| | - Carl V Hill
- Nancy L. Jones is with Community Health and Population Sciences, Division of Extramural Scientific Programs, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD. Stephen E. Gilman is with Social and Behavioral Sciences, Division of Intramural Population Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, and Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Tina L. Cheng is with Department of Pediatrics, Johns Hopkins University School of Medicine, Department of Population, Family & Reproductive Health, Bloomberg School of Public Health, and Johns Hopkins Children's Center, Baltimore, MD. Stacy S. Drury is with the Department of Psychiatry and Behavioral Sciences and Department of Pediatrics, Tulane University School of Medicine, Tulane Brain Institute, Tulane University, New Orleans, LA. Carl V. Hill is with the Office of Special Populations, National Institute on Aging, National Institutes of Health. Arline T. Geronimus is with the Department of Health Behavior and Health Education, School of Public Health, Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor. Nancy Jones is also a Guest Editor for this supplement issue
| | - Arline T Geronimus
- Nancy L. Jones is with Community Health and Population Sciences, Division of Extramural Scientific Programs, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD. Stephen E. Gilman is with Social and Behavioral Sciences, Division of Intramural Population Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, and Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Tina L. Cheng is with Department of Pediatrics, Johns Hopkins University School of Medicine, Department of Population, Family & Reproductive Health, Bloomberg School of Public Health, and Johns Hopkins Children's Center, Baltimore, MD. Stacy S. Drury is with the Department of Psychiatry and Behavioral Sciences and Department of Pediatrics, Tulane University School of Medicine, Tulane Brain Institute, Tulane University, New Orleans, LA. Carl V. Hill is with the Office of Special Populations, National Institute on Aging, National Institutes of Health. Arline T. Geronimus is with the Department of Health Behavior and Health Education, School of Public Health, Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor. Nancy Jones is also a Guest Editor for this supplement issue
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Uddin M, Jansen S, Telzer EH. Adolescent depression linked to socioeconomic status? Molecular approaches for revealing premorbid risk factors. Bioessays 2017; 39. [PMID: 28090662 DOI: 10.1002/bies.201600194] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The means by which social environmental exposures influence risk of mental disorders is a persistent and still open question. A key candidate mechanism for the biologic mediation of environmental effects involves epigenetic factors, which regulate gene function without altering underlying DNA sequence. Recent work has shown that environmental exposures such as childhood abuse, family history of mental disorder, and low socioeconomic status (SES) associate with differential DNA methylation (5mC) - a relatively stable, but modifiable, epigenetic factor. However, the longitudinal relation among SES, 5mC, brain function, and risk of depression remains to be elucidated. Here, we briefly review literature relevant to these associations and discuss recent findings that, for the first time, prospectively demonstrate sequential links between low SES, changes in 5mC, changes in brain function, and risk of depression in a cohort of adolescents.
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Affiliation(s)
- Monica Uddin
- Department of Psychology, Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Stefan Jansen
- Center for Mental Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Eva H Telzer
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Galvao TF, Silva MT, Zimmermann IR, Souza KM, Martins SS, Pereira MG. Pubertal timing in girls and depression: a systematic review. J Affect Disord 2014; 155:13-9. [PMID: 24274962 DOI: 10.1016/j.jad.2013.10.034] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Revised: 10/01/2013] [Accepted: 10/22/2013] [Indexed: 11/25/2022]
Abstract
BACKGROUND Because the incidence of depression increases after puberty, it is possible that pubertal timing in girls influences the onset of depression. Our objective was to assess the effect of early and late puberty in girls on the incidence of depression. METHODS We systematically searched relevant databases for controlled studies that assessed the impact of pubertal timing in girls on the incidence of depression or depressive symptoms. The last search was completed in August 2013. Two authors selected the studies, extracted the data, and assessed the quality of the evidence. Meta-analyses of the adjusted and unadjusted results were calculated using random effects. RESULTS Four cohort studies were included (n=8055 participants). Early puberty significantly increased the risk of new cases of depression in the unadjusted meta-analysis (RR=1.33; CI 95%: 1.02, 1.73) but not in the adjusted estimate of two of the included studies (RR=1.48; CI 95%: 0.69, 2.28). For late puberty, no significant associations were found (unadjusted RR=1.28; CI 95%: 0.87, 1.88). Two studies assessed the effect of early puberty on depressive symptoms and found positive associations. The quality of the available evidence was rated as very low. LIMITATIONS The polled results had wide confidence intervals, and the available evidence was of very low quality. CONCLUSIONS The available evidence supports little confidence regarding the impact of pubertal timing on the onset of depression in girls but suggests that early puberty in girls may increase the risk of depression. Further higher quality studies are needed to clarify the association between pubertal timing and the incidence of depression in girls and women.
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Affiliation(s)
- Tais F Galvao
- Faculty of Medicine, University of Brasilia, P.O. Box 4472, CEP 70904-970, Brasilia, Federal District, Brazil; Getulio Vargas University Hospital, Federal University of Amazonas, Manaus, Amazonas, Brazil
| | - Marcus T Silva
- Faculty of Medicine, Federal University of Amazonas, Manaus, Amazonas, Brazil
| | - Ivan R Zimmermann
- Faculty of Medicine, University of Brasilia, P.O. Box 4472, CEP 70904-970, Brasilia, Federal District, Brazil
| | - Kathiaja M Souza
- Faculty of Medicine, University of Brasilia, P.O. Box 4472, CEP 70904-970, Brasilia, Federal District, Brazil
| | - Silvia S Martins
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Mauricio G Pereira
- Faculty of Medicine, University of Brasilia, P.O. Box 4472, CEP 70904-970, Brasilia, Federal District, Brazil.
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Abstract
BACKGROUND Mood disorders are expressed in many heterogeneous forms, varying from anxiety to severe major clinical depression. The disorders are expressed in individual variety through manifestations governed by co-morbidities, symptom frequency, severity, and duration, and the effects of genes on phenotypes. The underlying etiologies of mood disorders consist of complex interactive operations of genetic and environmental factors. The notion of endophenotypes, which encompasses the markers of several underlying liabilities to the disorders, may facilitate efforts to detect and define, through staging, the genetic risks inherent to the extreme complexity of disease state. AIMS This review evaluates the role of genetic biomarkers in assisting clinical diagnosis, identification of risk factors, and treatment of mood disorders. METHODS Through a systematic assessment of studies investigating the epigenetic basis for mood disorders, the present review examines the interaction of genes and environment underlying the pathophysiology of these disorders. RESULTS The majority of research findings suggest that the notion of endophenotypes, which encompasses the markers of several underlying liabilities to the disorders, may facilitate efforts to detect and define, through staging, the genetic risks inherent to the extreme complexity of the disease states. Several strategies under development and refinement show the propensity for derivation of essential elements in the etiopathogenesis of the disorders affecting drug-efficacy, drug metabolism, and drug adverse effects, e.g., with regard to selective serotonin reuptake inhibitors. These include: transporter gene expression and genes encoding receptor systems, hypothalamic-pituitary-adrenal axis factors, neurotrophic factors, and inflammatory factors affecting neuroimmune function. Nevertheless, procedural considerations of pharmacogenetics presume the parallel investment of policies and regulations to withstand eventual attempts at misuse, thereby ensuring patient integrity. CONCLUSIONS Identification of genetic biomarkers facilitates choice of treatment, prediction of response, and prognosis of outcome over a wide spectrum of symptoms associated with affective states, thereby optimizing clinical practice procedures. Epigenetic regulation of primary brain signaling, e.g., serotonin and hypothalamic-pituitary-adrenal function, and factors governing their metabolism are necessary considerations. The participation of neurotrophic factors remains indispensable for neurogenesis, survival, and functional maintenance of brain systems.
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Affiliation(s)
- T Archer
- Department of Psychology, University of Gothenburg, Box 500, SE-40530 Gothenburg, Sweden
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