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Wen S, Zhu J, Han X, Li Y, Liu H, Yang H, Hou C, Xu S, Wang J, Hu Y, Qu Y, Liu D, Aspelund T, Fang F, Valdimarsdóttir UA, Song H. Childhood maltreatment and risk of endocrine diseases: an exploration of mediating pathways using sequential mediation analysis. BMC Med 2024; 22:59. [PMID: 38331807 PMCID: PMC10854183 DOI: 10.1186/s12916-024-03271-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Adverse childhood experiences (ACEs), including childhood maltreatment, have been linked with increased risk of diabetes and obesity during adulthood. A comprehensive assessment on the associations between childhood maltreatment and all major endocrine diseases, as well as the relative importance of different proposed mechanistic pathways on these associations, is currently lacking. METHODS Based on the UK Biobank, we constructed a cohort including 151,659 participants with self-reported data on childhood maltreatment who were 30 years of age or older on/after January 1, 1985. All participants were followed from the index date (i.e., January 1, 1985, or their 30th birthday, whichever came later) until the first diagnosis of any or specific (12 individual diagnoses and 9 subtypes) endocrine diseases, death, or the end of follow-up (December 31, 2019), whichever occurred first. We used Cox models to examine the association of childhood maltreatment, treated as continuous (i.e., the cumulative number of experienced childhood maltreatment), ordinal (i.e., 0, 1 and ≥ 2), or binary (< 2 and ≥ 2) variable, with any and specific endocrine diseases, adjusted for multiple covariates. We further examined the risk of having multiple endocrine diseases using Linear or Logistic Regression models. Then, sequential mediation analyses were performed to assess the contribution of four possible mechanisms (i.e., suboptimal socioeconomic status (SES), psychological adversities, unfavorable lifestyle, and biological alterations) on the observed associations. RESULTS During an average follow-up of 30.8 years, 20,885 participants received a diagnosis of endocrine diseases. We observed an association between the cumulative number of experienced childhood maltreatment and increased risk of being diagnosed with any endocrine disease (adjusted hazard ratio (HR) = 1.10, 95% confidence interval 1.09-1.12). The HR was 1.26 (1.22-1.30) when comparing individuals ≥ 2 with those with < 2 experienced childhood maltreatment. We further noted the most pronounced associations for type 2 diabetes (1.40 (1.33-1.48)) and hypothalamic-pituitary-adrenal (HPA)-axis-related endocrine diseases (1.38 (1.17-1.62)), and the association was stronger for having multiple endocrine diseases, compared to having one (odds ratio (95% CI) = 1.24 (1.19-1.30), 1.35 (1.27-1.44), and 1.52 (1.52-1.53) for 1, 2, and ≥ 3, respectively). Sequential mediation analyses showed that the association between childhood maltreatment and endocrine diseases was consistently and most distinctly mediated by psychological adversities (15.38 ~ 44.97%), while unfavorable lifestyle (10.86 ~ 25.32%) was additionally noted for type 2 diabetes whereas suboptimal SES (14.42 ~ 39.33%) for HPA-axis-related endocrine diseases. CONCLUSIONS Our study demonstrates that adverse psychological sequel of childhood maltreatment constitutes the main pathway to multiple endocrine diseases, particularly type 2 diabetes and HPA-axis-related endocrine diseases. Therefore, increased access to evidence-based mental health services may also be pivotal in reducing the risk of endocrine diseases among childhood maltreatment-exposed individuals.
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Affiliation(s)
- Shu Wen
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jianwei Zhu
- Department of Orthopedic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuchen Li
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Haowen Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Huazhen Yang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Can Hou
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Shishi Xu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Division of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Junren Wang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yao Hu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuanyuan Qu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Di Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Sichuan University - Pittsburgh Institute, Sichuan University, Chengdu, China
| | - Thor Aspelund
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Fang Fang
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Unnur A Valdimarsdóttir
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China.
- Med-X Center for Informatics, Sichuan University, Chengdu, China.
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
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Novilla MLB, Goates MC, Leffler T, Novilla NKB, Wu CY, Dall A, Hansen C. Integrating Social Care into Healthcare: A Review on Applying the Social Determinants of Health in Clinical Settings. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6873. [PMID: 37835143 PMCID: PMC10573056 DOI: 10.3390/ijerph20196873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/23/2023] [Accepted: 09/29/2023] [Indexed: 10/15/2023]
Abstract
Despite the substantial health and economic burdens posed by the social determinants of health (SDH), these have yet to be efficiently, sufficiently, and sustainably addressed in clinical settings-medical offices, hospitals, and healthcare systems. Our study contextualized SDH application strategies in U.S. clinical settings by exploring the reasons for integration and identifying target patients/conditions, barriers, and recommendations for clinical translation. The foremost reason for integrating SDH in clinical settings was to identify unmet social needs and link patients to community resources, particularly for vulnerable and complex care populations. This was mainly carried out through SDH screening during patient intake to collect individual-level SDH data within the context of chronic medical, mental health, or behavioral conditions. Challenges and opportunities for integration occurred at the educational, practice, and administrative/institutional levels. Gaps remain in incorporating SDH in patient workflows and EHRs for making clinical decisions and predicting health outcomes. Current strategies are largely directed at moderating individual-level social needs versus addressing community-level root causes of health inequities. Obtaining policy, funding, administrative and staff support for integration, applying a systems approach through interprofessional/intersectoral partnerships, and delivering SDH-centered medical school curricula and training are vital in helping individuals and communities achieve their best possible health.
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Affiliation(s)
- M. Lelinneth B. Novilla
- Department of Public Health, Brigham Young University, Provo, UT 84602, USA; (T.L.); (N.K.B.N.); (C.-Y.W.); (A.D.); (C.H.)
| | - Michael C. Goates
- Harold B. Lee Library, Brigham Young University, Provo, UT 84602, USA;
| | - Tyler Leffler
- Department of Public Health, Brigham Young University, Provo, UT 84602, USA; (T.L.); (N.K.B.N.); (C.-Y.W.); (A.D.); (C.H.)
| | - Nathan Kenneth B. Novilla
- Department of Public Health, Brigham Young University, Provo, UT 84602, USA; (T.L.); (N.K.B.N.); (C.-Y.W.); (A.D.); (C.H.)
| | - Chung-Yuan Wu
- Department of Public Health, Brigham Young University, Provo, UT 84602, USA; (T.L.); (N.K.B.N.); (C.-Y.W.); (A.D.); (C.H.)
| | - Alexa Dall
- Department of Public Health, Brigham Young University, Provo, UT 84602, USA; (T.L.); (N.K.B.N.); (C.-Y.W.); (A.D.); (C.H.)
| | - Cole Hansen
- Department of Public Health, Brigham Young University, Provo, UT 84602, USA; (T.L.); (N.K.B.N.); (C.-Y.W.); (A.D.); (C.H.)
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Njoroge A, Shariff MA, Khan HW, Gordillo V, Eclarinal B, Vargas J, Faiz M, Kasubhai M, Jackson T. Assessment of Adverse Childhood Experiences in the South Bronx on the Risk of Developing Chronic Disease as Adults. Cureus 2023; 15:e43078. [PMID: 37680403 PMCID: PMC10482123 DOI: 10.7759/cureus.43078] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2023] [Indexed: 09/09/2023] Open
Abstract
Background Adverse childhood experiences (ACEs) have a negative impact on health outcomes. Using a cross-sectional study design, our objective was to identify the prevalence of ACEs among residents of South Bronx and the increased relationship between such childhood stressors and the prevalence of both chronic disease and modifiable high-risk behavior in adulthood. Methods We recruited patients from a hospital-based, adult primary care clinic in the metropolitan area of the South Bronx. A prospectively designed, observational study recruited patients in a consecutive fashion to conduct a cross-sectional survey between September 2017 and January 2018. The demographic representation comprises a low socioeconomic sector of urban New York City, with low education and immigrant population. A modified ACE questionnaire that included nine ACE categories (Physical Abuse, Sexual Abuse, Household Substance Abuse, Separation from Parents, Incarcerated Household Member, Parental Separation/Divorce, and Bullying) in addition to questions on demographics, high-risk behavior, and diagnosis of chronic disease. Our primary objective was to gather the incidence of ACEs organized by domains. Secondary objectives were to demonstrate any expected increase (as odds ratios (ORs)) in chronic disease or maladaptive social habits when compared to patients with no ACEs within the cohort. The OR for the associations was calculated with logistic regression. Individual logistic regression models for each chronic disease, high-risk behavior, and demographics were used to measure the exposure response of the nine ACE categories. Results A total of 454 patients completed the survey. The average age was 53.1±14.2 years, and females were 49% of the sample. Hispanics were at 61% followed by Blacks at 34%. Participants reported high-risk behavior at 24%, had a high prevalence of chronic illness (82%), and had ACE events at 70%. We found a significant relationship between ACE events and having a chronic disease diagnosis and engagement in high-risk behavior with higher odds of reporting chronic illnesses among participants with exposure to childhood stressors (OR 1.26, 95% confidence interval 1.1-1.5, p=0.002). Of the nine ACE categories, many were independently associated with one or more chronic diseases in adulthood. Conclusion According to our survey data, ACE events in our patient population were more prevalent (30% with four or more exposures), higher than the proposed average of one out of six Americans with four or more exposures nationally according to national statistics. These childhood stressors appeared to have a strong association with the development of high-risk behavior and chronic illnesses.
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Affiliation(s)
- Alexander Njoroge
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Masood A Shariff
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Hira W Khan
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Victor Gordillo
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Brian Eclarinal
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Jose Vargas
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Mohammad Faiz
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Moiz Kasubhai
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
| | - Tranice Jackson
- Department of Internal Medicine, NYC HHC (New York City Health and Hospitals Corporation) Lincoln, Bronx, USA
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