1
|
Schroeder K, Dumenci L, Day SE, Konty K, Noll JG, Henry KA, Suglia SF, Wheeler DC, Argenio K, Sarwer DB. The Association Between a Neighborhood Adverse Childhood Experiences Index and Body Mass Index Among New York City Youth. Child Obes 2024. [PMID: 38959156 DOI: 10.1089/chi.2024.0215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
Background: The role of neighborhood factors in the association between adverse childhood experiences (ACEs) and body mass index (BMI) has not been widely studied. A neighborhood ACEs index (NAI) captures neighborhood environment factors associated with ACE exposure. This study examined associations between BMI and an NAI among New York City (NYC) youth. An exploratory objective examined the NAI geographic distribution across NYC neighborhoods. Methods: Data for students attending NYC public general education schools in kindergarten-12th grade from 2006-2017 (n = 1,753,867) were linked to 25 geospatial datasets capturing neighborhood characteristics for every census tract in NYC. Multivariable hierarchical linear regression tested associations between BMI and the NAI; analyses also were conducted by young (<8 years), school age (8-12 years), and adolescent (>12 years) subgroups. In addition, NAI was mapped by census tract, and local Moran's I identified clusters of high and low NAI neighborhoods. Results: Higher BMI was associated with higher NAI across all sex and age groups, with largest magnitude of associations for girls (medium NAI vs. low NAI: unstandardized β = 0.112 (SE 0.008), standardized β [effect size]=0.097, p < 0.001; high NAI vs. low NAI: unstandardized β = 0.195 (SE 0.008), standardized β = 0.178, p < 0.001) and adolescents (medium NAI vs. low NAI: unstandardized β = 0.189 (SE 0.014), standardized β = 0.161, p < 0.001, high NAI vs. low NAI: unstandardized β = 0.364 (SE 0.015), standardized β = 0.334, p < 0.001 for adolescent girls; medium NAI vs. low NAI: unstandardized β = 0.122 (SE 0.014), standardized β = 0.095, p < 0.001, high NAI vs. low NAI: unstandardized β = 0.217 (SE 0.015), standardized β = 0.187, p < 0.001 for adolescent boys). Each borough of NYC included clusters of neighborhoods with higher and lower NAI exposure, although clusters varied in size and patterns of geographic dispersion across boroughs. Conclusions: A spatial index capturing neighborhood environment factors associated with ACE exposure is associated with higher BMI among NYC youth. Findings complement prior literature about relationships between neighborhood environment and obesity risk, existing research documenting ACE-obesity associations, and the potential for neighborhood factors to be a source of adversity. Collectively, evidence suggests that trauma-informed place-based obesity reduction efforts merit further exploration as potential means to interrupt ACE-obesity associations.
Collapse
Affiliation(s)
- Krista Schroeder
- Department of Nursing, Temple University College of Public Health, Philadelphia, PA, USA
| | - Levent Dumenci
- Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA
| | - Sophia E Day
- Office of School Health, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Kevin Konty
- Office of School Health, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Jennie G Noll
- Mt. Hope Family Center, University of Rochester, Rochester, NY, USA
| | - Kevin A Henry
- Department of Geography and Urban Studies, Temple University College of Liberal Arts, Philadelphia, PA, USA
| | - Shakira F Suglia
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - David C Wheeler
- Department of Biostatistics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Kira Argenio
- Office of School Health, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - David B Sarwer
- Department of Social and Behavioral Sciences, Temple University College of Public Health, Philadelphia, PA, USA
| |
Collapse
|
2
|
Koball AM, Ames GE, Grothe K. Role of Adverse Childhood Experiences in the Onset of Overweight/Obesity. Curr Obes Rep 2024:10.1007/s13679-024-00563-2. [PMID: 38874702 DOI: 10.1007/s13679-024-00563-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/21/2024] [Indexed: 06/15/2024]
Abstract
PURPOSE OF REVIEW The goal of this chapter was to summarize the literature on childhood adversity and obesity, discuss treatment implications with a case example, and provide recommendations for trauma-informed care for clinicians who work with individuals living with obesity. RECENT FINDINGS Adversity in childhood is related directly and indirectly to obesity development. Upstream contributors like adverse childhood experiences (ACEs) and other factors can lead to experiences of toxic stress and increased allostatic load, resulting in downstream effects of obesity and other chronic health conditions. A well-established literature has linked ACEs and obesity suggesting complex interactions between genetic, biological, behavioral, mental health, social, and environmental factors and obesity. Trauma-informed care strategies can be used to optimize care for individuals living with obesity. Care pathways should include individual (clinician) and systemic (organizational) evidence-based interventions.
Collapse
Affiliation(s)
| | - Gretchen E Ames
- Mayo Clinic Florida, 4500 San Pablo Rd S, Jacksonville, FL, 32224, USA
| | - Karen Grothe
- Mayo Clinic, 200 1st SW, Rochester, MN, 55905, USA
| |
Collapse
|
3
|
Skiendzielewski K, Forke CM, Sarwer DB, Noll JG, Wheeler DC, Henry KA, Schroeder K. The intersection of adverse childhood experiences and neighborhood determinants of health: An exploratory spatial analysis. PSYCHOLOGICAL TRAUMA : THEORY, RESEARCH, PRACTICE AND POLICY 2024; 16:S125-S132. [PMID: 35834220 PMCID: PMC9839886 DOI: 10.1037/tra0001320] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Adverse childhood experiences (ACEs) are associated with elevated risk for poor physical and psychological health outcomes. Nearly all of the literature on the association between ACEs and poor health focuses on the individual and family level; the potential role of neighborhood environment is overlooked. Understanding the relationship between ACEs and characteristics of the neighborhood environment is a necessary first step in determining if and how place-based, trauma-informed interventions might mitigate the negative effects of ACEs. The purpose of this exploratory study was to describe the neighborhood environment of adults who have experienced ≥ 4 versus ≤ 3 ACEs. METHOD An exploratory secondary analysis of cross-sectional and geospatial data was conducted during 2021. Data sources included 2011/2012 Philadelphia ACE Survey data, a telephone survey of 1,784 randomly sampled Philadelphia adults, linked with geospatial data on 21 neighborhood-level determinants of health. Neighborhood was defined as participant's home census tract at the time of survey. The sample for this secondary analysis included the 1,679 Philadelphia ACE Survey participants for whom home census tract was available. Bivariate logistic regression examined differences between groups (≤ 3 ACEs vs. ≥ 4 ACEs). RESULTS Individuals with ≥ 4 ACEs lived in neighborhoods with higher neighborhood poverty rates, less socioeconomic resources, worse food access, poorer perceived physical and mental health, more substance overdose deaths, higher crime, and less green space. CONCLUSIONS Findings suggest future work may benefit from considering neighborhood environments when examining and intervening upon the association between ACEs and poor physical and psychological health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Collapse
Affiliation(s)
| | - Christine M. Forke
- Master of Public Health Program, Perelman School of Medicine, University of Pennsylvania
- Center for Violence Prevention, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
| | - David B. Sarwer
- Department of Social and Behavioral Sciences, College of Public Health, Center for Obesity Research and Education, Temple University
| | - Jennie G. Noll
- Department of Human Development and Family Studies, College of Health and Human Development, Pennsylvania State University
| | - David C. Wheeler
- Department of Biostatistics, School of Medicine, Virginia Commonwealth University
| | - Kevin A. Henry
- Department of Geography and Urban Studies, College of Liberal Arts, Temple University
| | - Krista Schroeder
- Department of Nursing, College of Public Health, Temple University
| |
Collapse
|
4
|
Schuler BR, Vazquez CE, Kobulsky JM, Dumenci L. Adversity and child body mass index in Fragile Families over 15 years: Do type and timing matter? SSM Popul Health 2022; 19:101197. [PMID: 36033351 PMCID: PMC9399528 DOI: 10.1016/j.ssmph.2022.101197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 11/16/2022] Open
Abstract
Background Weight status has been linked to adverse childhood experiences. Existing research, however, is limited to unidimensional assessments of cumulative risk and does not account for the complex nature of adversity experienced by children in high-risk settings. We fill existing gaps by assessing how four subtypes of adversity across two primary dimensions of threat and deprivation-based adversity are associated with changes in body mass index (BMI) across child ages 3 through 15 years. Method U.S. mothers and fathers (n = 2412) in the Fragile Families and Child Wellbeing Study were interviewed when children were born, and again at ages 1, 3, 5, 9, and 15 years. Independent variables include interpersonal (e.g., domestic violence), family (e.g., mental health), economic (e.g., housing insecurity), and community (e.g., witness/victim of violence) adversity from ages 1 through 9 years. Path analysis regressed changes in BMIz from ages 3 through 15 on past adversity exposures. Results Increased interpersonal and community adversity subtypes from ages 3 to 5 were associated with decreased BMIz from ages 5–9 years. Increased economic adversity from age 3 to 5 was associated with increased BMIz from ages 5 to 9, adjusted for mother age, race, and education. Conclusion Findings highlight the differential influence of past adversity type and timing on child BMI. Interpersonal and community adversity were associated with decreased BMIz, and economic adversity with increased BMIz. Differences in directionality of associations suggest research should capture multiple dimensions of adversity in early childhood and possible positive and negative trends in effects on child weight as children grow from early to mid-childhood. We found positive and negative trends in BMIz, depending on adversity type. Interpersonal and community adversity types were associated with decrease BMIz. Economic adversity was associated with increased BMIz. BMIz from ages 5 to 9 was sensitive to adversity exposure from ages 3–5 years.
Collapse
Affiliation(s)
- Brittany R Schuler
- School of Social Work, College of Public Health, Temple University, 1311 Cecil B Moore Ave., Ritter Annex 5th floor, Philadelphia, PA, 19122, USA
| | - Christian E Vazquez
- School of Social Work, The University of Texas at Arlington, Arlington, TX, 6019, USA
| | - Julia M Kobulsky
- School of Social Work, College of Public Health, Temple University, 1311 Cecil B Moore Ave., Ritter Annex 5th floor, Philadelphia, PA, 19122, USA
| | - Levent Dumenci
- Department of Epidemiology and Biostatistics, Temple University, Philadelphia, PA, 19122, USA
| |
Collapse
|
5
|
Schroeder K, Dumenci L, Sarwer DB, Noll JG, Henry KA, Suglia SF, Forke CM, Wheeler DC. The Intersection of Neighborhood Environment and Adverse Childhood Experiences: Methods for Creation of a Neighborhood ACEs Index. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137819. [PMID: 35805478 PMCID: PMC9265402 DOI: 10.3390/ijerph19137819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 11/16/2022]
Abstract
This study evaluated methods for creating a neighborhood adverse childhood experiences (ACEs) index, a composite measure that captures the association between neighborhood environment characteristics (e.g., crime, healthcare access) and individual-level ACEs exposure, for a particular population. A neighborhood ACEs index can help understand and address neighborhood-level influences on health among individuals affected by ACEs. Methods entailed cross-sectional secondary analysis connecting individual-level ACEs data from the Philadelphia ACE Survey (n = 1677) with 25 spatial datasets capturing neighborhood characteristics. Four methods were tested for index creation (three methods of principal components analysis, Bayesian index regression). Resulting indexes were compared using Akaike Information Criteria for accuracy in explaining ACEs exposure. Exploratory linear regression analyses were conducted to examine associations between ACEs, the neighborhood ACEs index, and a health outcome—in this case body mass index (BMI). Results demonstrated that Bayesian index regression was the best method for index creation. The neighborhood ACEs index was associated with higher BMI, both independently and after controlling for ACEs exposure. The neighborhood ACEs index attenuated the association between BMI and ACEs. Future research can employ a neighborhood ACEs index to inform upstream, place-based interventions and policies to promote health among individuals affected by ACEs.
Collapse
Affiliation(s)
- Krista Schroeder
- Department of Nursing, Temple University College of Public Health, Philadelphia, PA 19122, USA
- Correspondence:
| | - Levent Dumenci
- Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA 19122, USA;
| | - David B. Sarwer
- Department of Social and Behavioral Sciences, Center for Obesity Research and Education, Temple University College of Public Health, Philadelphia, PA 19122, USA;
| | - Jennie G. Noll
- Department of Human Development and Family Studies, Penn State College of Health and Human Development, University Park, PA 16802, USA;
| | - Kevin A. Henry
- Department of Geography and Urban Studies, Temple University College of Liberal Arts, Philadelphia, PA 19122, USA;
| | - Shakira F. Suglia
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA;
| | - Christine M. Forke
- Master of Public Health Program, Perelman School of Medicine, University of Pennsylvania, Center for Violence Prevention, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA;
| | - David C. Wheeler
- Department of Biostatistics, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA;
| |
Collapse
|
6
|
Cortisol trajectories measured prospectively across thirty years of female development following exposure to childhood sexual abuse: Moderation by epigenetic age acceleration at midlife. Psychoneuroendocrinology 2022; 136:105606. [PMID: 34896740 PMCID: PMC8724404 DOI: 10.1016/j.psyneuen.2021.105606] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 07/20/2021] [Accepted: 09/23/2021] [Indexed: 02/03/2023]
Abstract
Lasting changes in the hypothalamic-pituitary-adrenal (HPA) axis are a potential indication of the biological embedding of early life adversity, yet, prospective and repeatedly collected data are needed to confirm this relation. Likewise, integrating information from multiple biological systems, such as the HPA axis and the epigenome, has the potential to identify individuals with enhanced embedding of early life adversity. The current study reports results from the Female Growth and Development Study, a 30-year prospective cohort study of childhood sexual abuse (CSA). Females exposed to substantiated CSA and a demographically-similar comparison condition were enrolled and resting state cortisol concentrations were sampled on seven subsequent occasions across childhood, adolescence, and adulthood. Differences in participants' cortisol trajectories were examined in relation to prior CSA exposure and DNA methylation-derived epigenetic age acceleration at midlife. Bilinear spline growth models revealed a trajectory where cortisol secretion increased until approximately age twenty and then declined into mid-life, consistent with normative trends. However, cortisol concentrations peaked at a lower level and transitioned to the decline phase at an earlier age for females in the CSA condition with increased epigenetic age acceleration. Robustness tests across three independent measures of epigenetic age acceleration demonstrated similar results for lower peak cortisol levels and earlier ages at transition. Results suggest that CSA is associated with significant changes in HPA-axis activity over extended periods of time with these changes most pronounced in females with accelerated epigenetic aging in mid-life. Implications for biological embedding models of early life adversity and adulthood health are discussed.
Collapse
|