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Research ArticleOriginal Research

Intergenerational Pathways Between Parental Experiences of Adverse Childhood Experiences (ACEs) and Child Weight: Implications for Intervention

Jerica M. Berge, Allan Tate, Amanda Trofholz and Alicia Kunin-Batson
The Journal of the American Board of Family Medicine February 2023, 36 (1) 39-50; DOI: https://doi.org/10.3122/jabfm.2022.220134R1
Jerica M. Berge
From University of Minnesota Medical School, Department of Family Medicine and Community Health, Minneapolis (JMB, ATrofholz); University of Georgia, College of Public Health, Athens (ATate); University of Minnesota Medical School, Department of Pediatrics, Minneapolis (AKB).
PhD, MPH, LMFT, CFLE
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Allan Tate
From University of Minnesota Medical School, Department of Family Medicine and Community Health, Minneapolis (JMB, ATrofholz); University of Georgia, College of Public Health, Athens (ATate); University of Minnesota Medical School, Department of Pediatrics, Minneapolis (AKB).
PhD
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Amanda Trofholz
From University of Minnesota Medical School, Department of Family Medicine and Community Health, Minneapolis (JMB, ATrofholz); University of Georgia, College of Public Health, Athens (ATate); University of Minnesota Medical School, Department of Pediatrics, Minneapolis (AKB).
MPH, RD
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Alicia Kunin-Batson
From University of Minnesota Medical School, Department of Family Medicine and Community Health, Minneapolis (JMB, ATrofholz); University of Georgia, College of Public Health, Athens (ATate); University of Minnesota Medical School, Department of Pediatrics, Minneapolis (AKB).
PhD, LP
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    Figure 1.

    Structural equation model standardized path correlates of parent adverse childhood experiences (ACEs) on child body mass index (BMI) percentile: direct and indirect pathways (n = 1307 caregivers).

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    Table 1.

    Family Matters Sample Demographic Characteristics and Parent Adverse Childhood Events Frequency

    (n = 1307)*
    Parent and child participant characteristicsn (%)
    Child female637 (49%)
    Child age in years (sd)7.0 (1.5)
    Child race/ethnicity
     White234 (18%)
     Black or African American334 (26%)
     Hispanic or Latino177 (14%)
     Asian American220 (17%)
     Native Hawaiian or other Pacific Islander10 (1%)
     American Indian or Native American116 (9%)
     Other16 (1%)
     Multiracial200 (15%)
    Parent female1171 (90%)
    Age in years (sd)35.7 (7.9)
    Parent born in the U.S.859 (66%)
    Parent immigrant time living in the U.S.
     Less than 1 year8 (2%)
     1 to less than 5 years52 (12%)
     5–10 years51 (11%)
     10+ years336 (75%)
     Parent race/ethnicity
     White272 (21%)
     Black or African American340 (26%)
     Hispanic or Latino186 (14%)
     Asian American223 (17%)
     Native Hawaiian or other Pacific Islander10 (1%)
     American Indian or Native American154 (12%)
     Other race/ethnicity19 (1%)
     Multiracial103 (8%)
    Parent survey language
     English1148 (88%)
     Spanish134 (10%)
     Hmong/Lus Hmoob8 (1%)
     Somali/Soomaali17 (1%)
    Parent educational attainment
     Some high school183 (14%)
     High school or associate’s521 (40%)
     Some college or bachelor’s409 (31%)
     Graduate degree194 (15%)
    Household income
     Less than $20,000393 (30%)
     $20,000–$34,999323 (25%)
     $35,000–$49,999203 (16%)
     $50,000–$74,999143 (11%)
     $75,000–$99,99975 (6%)
     $100,000 or more159 (12%)
     Not reported11 (1%)
    Adverse child experiences items and frequenciesn (%)
    Were your parents ever separated or divorced?533 (41.3%)
    Was a household member depressed or mentally ill, or did a household member attempt suicide?306 (23.7%)
    Did a household member go to prison (including yourself)?168 (13%)
    Did you often or very often feel that you didn't have enough to eat, had to wear dirty clothes, and had no one to protect you?163 (12.7%)
    Did you often or very often feel that your family didn't look out for each other, feel close to each other, or support each other?264 (20.5%)
    Did you often or very often feel that your parents were too drunk or high to take care of you?143 (11.1%)
    Was your mother or stepmother often or very often pushed, grabbed, slapped, or had something thrown at her?142 (11%)
    Did a parent or other adult in the household often or very often swear at you, insult you, put you down, or humiliate you?218 (16.9%)
    Were you physically abused by a parent or guardian?145 (11.2%)
    Were you sexually abused by a parent or guardian?47 (3.6%)
    Were you sexually abused by someone who was not a parent or guardian?191 (14.9%)
    • Note: the 1307 sample is from the Minneapolis and St. Paul, MN, area and was collected between 2015 and 2017.

    • * Frequency proportions may not add to 100% due to rounding.

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    Table 2.

    Exposure, Pathway, and Outcomes Variables Used in Analysis

    Exposure variables
    Parent adverse childhood events (ACEs)Parent ACEs were measured via the online survey through 11 validated items:2,44 (1) Were your parents ever separated or divorced? (2) Was a household member depressed or mentally ill, or did a household member attempt suicide? (3) Did a household member go to prison (including yourself)? (4) Did you often or very often feel that you didn't have enough to eat, had to wear dirty clothes, and had no one to protect you? (5) Did you often or very often feel that your family didn't look out for each other, feel close to each other, or support each other? (6) Did you often or very often feel that your parents were too drunk or high to take care of you? (7) Was your mother or stepmother often or very often pushed, grabbed, slapped, or had something thrown at her? (8) Did a parent or other adult in the household often or very often swear at you, insult you, put you down, or humiliate you? (9) Were you physically abused by a parent or guardian? (10) Were you sexually abused by a parent or guardian? (11) Were you sexually abused by someone who was not a parent or guardian? Response options were “Yes” or “No.” Variables then were indicator coded 1 for affirmative responses and 0 for negative responses, and the mean of these variables was computed to reflect the fraction of the 11 items that were reported as present by the parent. For interpretability, this score was multiplied by 10 so that the interpretation in analysis reflected associations in 10% units. The two most common skipped items were sexual abuse by someone who was not a parent or guardian (n = 10 of 48 nonresponding parents) and not having enough to eat, had to wear dirty clothes; had no one to protect you also was skipped by 10 parents (20.8% of parents who skipped 1 or 2 ACE items). On average, these parents had lower ACE mean scores (1.27 ± 1.52) compared to the full responder parents (1.65 ± 2.2).
    Pathway variables
    Parent mental healthParent depressed mood was measured using 6 items from the validated Kessler-6 measure of depressive symptoms.45 Parents were asked about their current level of depressed mood (i.e., How sad or depressed are you feeling right now?). Ecological momentary assessment-reported depressed mood before noon (ie, morning stress) was also analyzed as a continuous random variable with Likert scale values ranging from 0 to 4 (0 = “Not at all,” 1 = “A little,” 2 = “Moderately,” 3 = “Quite a bit,” 4 = “Extremely”).
    Parent body mass index (BMI)Height and weight were assessed by self-report. Self-reported height and weight has been shown to be highly correlated with objectively measured values in adults.38 BMI was calculated using the standard formula, weight (kg)/height (meters).2
    Positive parentingA positive parenting latent variable was operationalized by assessing 4 constructs: authoritative (alpha: 0.823), authoritarian (alpha: 0.530), and permissive parenting (alpha: 0.636) style as well as parenting self-efficacy (alpha: 0.572).46 The three parenting styles were classified from 9 items of a pre-existing validated scale on the online survey that were operationalized as mean scores. Sample items for each parenting style include “I give my child reasons why rules should be obeyed” (authoritative), “I use physical punishment as a way of disciplining” (authoritarian), and “I threaten punishment more often than actually giving it” (permissive). Each item was collected on the original 5-item Likert scale (1 = never; 5 = always). Parent self-efficacy was operationalized using the Early Intervention Parenting Self-Efficacy Scale (EIPSES).47 Parents reported on the assessment of efficacy in parenting across 6 items measured on a 4-item Likert scale (1 = strongly disagree; 4 = strongly agree). All but 1 item, “on most days I can handle the ups and downs of being a parent,” was reverse scored so that the final mean score reflected efficacious parenting. The 3 parenting style scales and the parenting self-efficacy scale were all used to parameterize the positive parenting latent variable.
    Parent support for physical activity (PA) practicesA supportive PA practices latent variable was modeled by combining 3 scales48: support for PA (alpha: 0.754), limiting sedentary activity (alpha: 0.920), and modeling of PA (alpha: 0.865). All items were measured on the online survey from a prior scale.48 Support for PA was assessed through the following 3 questions from a prior scale48: (1) I encourage [child] to use resources in our neighborhood to be active (such as the park and the school); (2) I enroll [child] in community-based programs (such as Parks and Rec, Boys and Girls Club, YMCA) where he or she can be active; (3) I find ways for [child] to be active when school is out by, for example, enrolling him/her in summer camp and after-school programs. Limiting sedentary activity was assessed through 3 questions from a prior scale48: (1) I limit how long [child] plays video games (including PlayStation, Xbox, and Gameboys); (2) I limit how long [child] can watch TV or DVDs each day (including educational and noneducational programs); (3) I limit how long [child] can use the computer, smart phone, or tablet for things other than homework (such as playing computer games, watching YouTube, texting or snapchatting with friends. Both support for PA and limiting sedentary activity had the following response options: 1 = “Strongly disagree”; 2 = “Somewhat disagree”; 3 = “Somewhat agree”; 4 = “Strongly agree.” Modeling of PA48 was assessed through 4 questions from a prior scale48 asking parents during a typical week how often they (1) Encourage [child] to do physical activities or play sports; (2) provide transportation or walk with [child] to a place where he or she can do physical activities or play sports; (3) watch [child] participate in physical activities or sports; (4) do a physical activity or play a sport with [child]. Response options included 1 = “Never/rarely”; 2 = “Once”; 3 = “Sometimes”; 4 = “Almost every day”; 5 = “Every day.”
    Controlling feeding practicesA controlling feeding practices latent variable was modeled by combining 3 scales49: restriction (alpha: 0.675), pressuring (alpha: 0.647), and instrumental feeding (alpha: 0.594). All items were measured on the online survey. Restriction was assessed through the following 4 validated questions from a pre-existing scale49: (1) I have to make sure that [child] does not eat too many sweets (candy, ice cream, cake, or pastries) or his/her favorite foods; (2) I intentionally keep some foods out of [child]’s reach; (3) I offer sweets (candy, ice cream, cake, pastries) or favorite foods to [child] as a reward for good behavior; (4) If I did not guide or regulate [child]’s eating, he/she would eat too many junk foods/favorite foods. Pressuring was assessed through the following 3 validated questions49: (1) [child] should always eat all the food on his/her plate; 2) if [child] says “I'm not hungry,” I try to get him/her to eat anyway; (3) if I did not guide or regulate [child]’s eating, he/she would eat much less than he/she should. For both restriction and pressuring, parents selected how much they agreed with each item (1 = “Disagree”; 3= “Neutral”; 5 = “Agree”). Instrumental feeding was assessed with the following 2 validated questions49: (1) if [child] misbehaves, I withhold his/her favorite foods/sweets/desserts; (2) use desserts as a bribe to get [child] to eat his/her main course (1= “Never”; 3 =“About half of the time”; 5 = “Always”).49,50
    Outcome variables
    Child BMI percentileChild height and weight were obtained through the child's electronic medical record at their primary care clinic. Child heights and weights were converted to child BMI percentile, based on Centers for Disease Control and Prevention criteria.51
    Control variables
    Food insecurity statusHousehold food insecurity was assessed via the short form of a validated scale called the Household Food Security Scale.52 This scale was completed by the parent at the second home visit as part of the online survey. The scale is a sum of the affirmative responses to the following 6 questions about whether in the past 12 months: (1) the primary caregiver (or other adults in the household) ever cut the size of meals or skipped meals because there wasn’t enough money for food; (2) that this happened more than 1 or 2 months; (3) the primary caregiver was hungry but didn’t eat because they couldn’t afford enough food; (4) the food they bought didn’t last and they didn’t have enough money to get more; (5) they couldn’t afford balanced meals; and (6) they couldn’t afford to eat balanced meals. A household was categorized as food secure if they had no affirmative responses to these 6 questions, and households were classified as food insecure if they answered yes to 1 or more questions.
    Annual household incomeAnnual household income was a 1-item measure taken from a pre-existing survey.38 Parents were asked, What was the total income of your household before taxes in the past year? Response options included: (1) Less than $20,000; (2) $20,000–$34,999; (3) $35,000–$49,999; (4) $50,000–$74,999; (5) $75,000–$99,999; (6)$100,000 or more.
    • Note: the 1307 sample is from the Minneapolis and St. Paul, MN, area and was collected between 2015 and 2017.

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    Table 3.

    Standardized Latent Variable Relationships with Observed Cross-Sectional Survey Items

    Latent variableUnivariate mean ± SDΒ*95% CIP value
    Parent low mental health    
     Depression scale1.8 ± 0.860.86(0.82, 0.89)<.001
     Anxiety scale2.1 ± 1.000.87(0.83, 0.90)<.001
     Resilience scale3.6 ± 0.71−0.46(−0.50, −0.41)<.001
    Positive parenting    
     Authoritative scale4.2 ± 0.810.07(0.01, 0.14).049
     Authoritarian scale1.9 ± 0.65−0.66(−0.72, −0.60)<.001
     Permissive scale1.8 ± 0.76−0.65(−0.71, −0.58)<.001
     Self-efficacy scale3.9 ± 0.460.40(0.33, 0.46)<.001
    Controlling feeding practices    
     Pressuring3.0 ± 1.050.51(0.44, 0.58)<.001
     Restriction3.3 ± 1.000.56(0.49, 0.63)<.001
     Instrumental2.0 ± 0.990.55(0.48, 0.61)<.001
    Support for physical activity (PA)    
     Modeling of PA3.3 ± 0.970.60(0.52, 0.67)<.001
     Support for PA3.0 ± 0.840.77(0.68, 0.86)<.001
     Limit sedentary activity3.4 ± 0.800.34(0.28, 0.41)<.001
    • Abbreviations: SD, standard deviation; CI, confidence interval.

    • Note: the 1307 sample is from the Minneapolis and St. Paul, MN, area and was collected between 2015 and 2017.

    • * Standardized coefficients.

    • Interpretation example: The latent variable, “Parent Low Mental Health,” was constructed from three mean-scaled items that characterize parent self-reported depressive, anxiety, and resilience items. In this sample, the latent construct was positively correlated with the depression and anxiety scales and negatively correlated with the resilience scale.

    • View popup
    Table 4.

    Standardized Indirect Parent Adverse Childhood Events-Child Body Mass Index (BMI) Pathways Mediated by Parent Low Mental Health and Positive Parenting (n = 1307 Children)

    Latent variableβ1*β2*β3*
    Indirect pathways   
    Parent mental health pathway   
    Adverse childhood events (ACEs) → parent low mental health → parent BMI > 25 → child BMI percentile0.376††0.145††0.092††
    Positive parenting pathways   
    ACEs → positive parenting → support for physical activity (PA) → child BMI percentile0.219††0.127†0.013
    ACEs → positive parenting → controlling feeding practices → child BMI percentile−0.400††−0.042
    • Note: the 1307 sample is from the Minneapolis and St. Paul, MN, area and was collected between 2015 and 2017.

    • * Standardized coefficients.

    • Models include adjustments for food insecurity status and income of the parent ACEs-BMI percentile relationship; child overweight status of the controlling feeding-BMI percentile, and support for PA-BMI percentile relationships. Boldfaced coefficients are significant at the following levels: †P < .01; ††P < .001.

    • Interpretation example: parent ACEs-child BMI percentile indirect relationships were modeled with controls for household food insecurity status and income. At the dyad level, child overweight was controlled for the support for PA and controlling feeding relationship with child BMI percentile. Three indirect pathways operating through parent mental health and positive parenting were modeled. Component path coefficients were standardized for interpretability (β1, β2, and β3). There was strong statistical evidence at P < .001 for all low mental health path coefficients, indicating parent ACEs were positively associated with lower parent mental health (β1 = 0.376), low parent mental health was correlated with parent BMI > 25 (β2 = 0.145), and parent BMI >25 was associated with elevated child BMI percentile (β3 = 0.092).

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Intergenerational Pathways Between Parental Experiences of Adverse Childhood Experiences (ACEs) and Child Weight: Implications for Intervention
Jerica M. Berge, Allan Tate, Amanda Trofholz, Alicia Kunin-Batson
The Journal of the American Board of Family Medicine Feb 2023, 36 (1) 39-50; DOI: 10.3122/jabfm.2022.220134R1

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Intergenerational Pathways Between Parental Experiences of Adverse Childhood Experiences (ACEs) and Child Weight: Implications for Intervention
Jerica M. Berge, Allan Tate, Amanda Trofholz, Alicia Kunin-Batson
The Journal of the American Board of Family Medicine Feb 2023, 36 (1) 39-50; DOI: 10.3122/jabfm.2022.220134R1
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