Developmental epidemiology
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Introducing epidemiology as the study of health and illness in human populations, we discuss what questions modern epidemiology addresses, the key methods it uses, and how these methods can be applied to developmental psychopathology. A short history of how child psychiatric epidemiology has grown into developmental epidemiology illustrates society's changing concerns about child mental health. We describe some of the ways in which developmental epidemiology is branching out into related areas: life course and intergenerational epidemiology; global epidemiology; genetic epidemiology; the study of burden of disease, including cost‐benefit analysis; and the use of epidemiologic designs to test hypotheses about causation. Finally, we note that developmental epidemiology extends the range of translational epidemiology. We make the case that (1) the goal of epidemiological research is disease prevention; (2) understanding the development of a disease and intervening to prevent and control it are equally important aspects of epidemiological research; (3) understanding the development of a disease may point to different kinds of intervention at different stages in the developmental process; and (4) understanding individual development is a critical part of understanding and intervening in the disease process because both risk for and expression of disorder change over the life course.
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Broader adjustments, such as for internalizing/externalizing problems or any Axis I disorder, may offer a more valid approach to accounting for preexisting mental health difficulties.
“Because psychiatric symptoms in childhood often manifest differently or fall outside adult diagnostic categories, broader adjustments—such as for internalizing/externalizing problems or any Axis I disorder—may offer a more valid approach to accounting for preexisting mental health difficulties (Costello & Angold, 2016).”
From Prospective Longitudinal Associations Between Adverse Childhood Experiences and Adult Mental Health Outcomes: Systematic Review and Meta-Analysis (2026) · cites this paper as Costello & Angold, 2016
The ‘Developmental Issues in Case Identification’ section (page unavailable) says that DSM categories are not well reconciled with child development and that developmental differences in symptoms lack a firm evidence base. This supports the concern about applying adult diagnostic categories to children. It does not recommend adjusting for internalizing/externalizing problems or any Axis I disorder, or establish that those adjustments are more valid for accounting for preexisting difficulties. (LLM, conf=0.84)
Experimental — accuracy not yet measuredAlthough the sexual orientation of women with CAH is less likely to be exclusively heterosexual than is true for unaffected women, the majority are heterosexual.
“Although the sexual orientation of women with CAH is less likely to be exclusively heterosexual than is true for unaffected women, the majority are heterosexual (227,600).”
From Congenital Adrenal Hyperplasia—Current Insights in Pathophysiology, Diagnostics, and Management (2022) · cites this paper as [600]
The passages from “Ascertainment Bias in Case Identification” discuss sampling and diagnostic bias, not sexual orientation in women with CAH (page numbers unavailable). Searches for congenital adrenal hyperplasia, CAH, and heterosexual orientation found no passage in our copy addressing the comparison with unaffected women or whether a majority are heterosexual. (LLM, conf=0.76)
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- Authors
- Costello, E. J., & Angold, A.
- Affiliations
- Duke Medical Center (US)
- ORCID
- Costello, E. Jane
- Venue
- Developmental Psychopathology
- Publisher
- Wiley
- Published
- 2016-02-10
- Pages
- 1-35
- OpenAlex
- W2911673878
- Cited by
- 13
- References
- 265
- Citations by year
- 2025: 1 · 2024: 2 · 2022: 1 · 2021: 2 · 2020: 3 · 2018: 2
- Type
- other
- Language
- en
- Open access
- gold
- doi.org
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- developmental epidemiology, developmental psychopathology, child mental health, life course epidemiology, global epidemiology, genetic epidemiology, disease burden, cost-benefit analysis, causal inference, disease prevention
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