Unmet Social Needs and Patterns of Hair Cortisol Concentration in Mother–Child Dyads

Author:

Keeton Victoria F1ORCID,Bidwell Julie T2ORCID,de Mendonça Filho Euclides José34,Silveira Patricia P34,Hessler Danielle5,Pantell Matthew S6,Wing Holly7,Brown Erika M8,Iott Bradley7,Gottlieb Laura M5

Affiliation:

1. Department of Obstetrics, Gynecology, and the Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA

2. University of California, Davis, Betty Irene Moore School of Nursing, Sacramento, CA, USA

3. Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, Quebec, Canada

4. Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada

5. Department of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, USA

6. Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA

7. University of California, San Francisco, Center for Health and Community, San Francisco, CA, USA

8. California Policy Lab, University of California, Berkeley, CA, USA

Abstract

Background Mothers and their children demonstrate dyadic synchrony of hypothalamic–pituitary–adrenal (HPA) axis function, likely influenced by shared genetic or environmental factors. Although evidence has shown that chronic stress exposure has physiologic consequences for individuals—including on the HPA axis—minimal research has explored how unmet social needs such as food and housing instability may be associated with chronic stress and HPA axis synchrony in mother–child dyads. Methods We conducted a secondary analysis of data from 364 mother–child dyads with low-income recruited during a randomized trial conducted in an urban pediatric clinic. We used latent profile analysis (LPA) to identify subgroups based on naturally occurring patterns of within-dyad hair cortisol concentration (HCC). A logistic regression model predicted dyadic HCC profile membership as a function of summative count of survey-reported unmet social needs, controlling for demographic and health covariates. Results LPA of HCC data from dyads revealed a 2-profile model as the best fit. Comparisons of log HCC for mothers and children in each profile group resulted in significantly “higher dyadic HCC” versus “lower dyadic HCC” profiles (median log HCC for mothers: 4.64 vs 1.58; children: 5.92 vs 2.79, respectively; P < .001). In the fully adjusted model, each one-unit increase in number of unmet social needs predicted significantly higher odds of membership in the higher dyadic HCC profile when compared to the lower dyadic HCC profile (odds ratio  =  1.13; 95% confidence interval [1.04-1.23]; P  =  .01). Conclusion Mother–child dyads experience synchronous patterns of physiologic stress, and an increasing number of unmet social needs is associated with a profile of higher dyadic HCC. Interventions aimed at decreasing family-level unmet social needs or maternal stress are, therefore, likely to affect pediatric stress and related health inequities; efforts to address pediatric stress similarly may affect maternal stress and related health inequities. Future research should explore the measures and methods needed to understand the impact of unmet social needs and stress on family dyads.

Funder

Lisa and John Pritzker Family Fund

CA Preterm Birth Initiative, University of California, San Francisco

JPB Foundation

National Institute of Child Health and Human Development

Gordon and Betty Moore Foundation

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Clinical Psychology

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