Advertisement
Research Article| Volume 57, ISSUE 3, P302-310, September 2019

The Role of Childhood Adversity in the Development of Gestational Diabetes

  • Danielle A.J.M. Schoenaker
    Correspondence
    Address correspondence to: Danielle A. J. M. Schoenaker, PhD, School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Northfields Avenue Wollongong, New South Wales 2522, Australia.
    Affiliations
    School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia

    Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia

    Discipline of Obstetrics and Gynaecology, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
    Search for articles by this author
  • Leonie K. Callaway
    Affiliations
    UQ Centre for Clinical Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia

    Obstetric Medicine, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
    Search for articles by this author
  • Gita D. Mishra
    Affiliations
    School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
    Search for articles by this author

      Introduction

      The influence of women's childhood psychosocial environment and subsequent preconception mental health on risk of developing gestational diabetes mellitus is unclear. This study examines this relationship.

      Methods

      Data from a population-based cohort study, the Australian Longitudinal Study on Women's Health, were used. A total of 6,317 women with no pre-existing diabetes were followed from 1996 (aged 18–23 years) until 2015. Gestational diabetes mellitus diagnosis was self-reported. Exposures to eight subcategories of adverse childhood experiences were recalled. Individual subcategories and total number of adverse childhood experiences were examined. Log-binomial regression models with generalized estimating equations were used to estimate RRs and 95% CIs. Analyses were adjusted for early life, preconception, and antenatal gestational diabetes mellitus risk factors. Effect modification by preconception mental health was tested using cross-product terms. Analyses were conducted in 2018.

      Results

      Among 11,556 pregnancies, 4.7% were complicated by gestational diabetes mellitus. Compared with women not exposed to adverse childhood experiences, exposure to any three adverse childhood experiences (6% of women, adjusted RR=1.73, 95% CI=1.02, 3.01) or four or more adverse childhood experiences (7%, adjusted RR=1.76, 95% CI=1.04, 2.99) was associated with elevated gestational diabetes mellitus risk in women with preconception depressive symptoms. Among the subcategories of adverse childhood experiences, physical abuse, and household substance abuse were associated with higher gestational diabetes mellitus risk. Adverse childhood experiences were not associated with gestational diabetes mellitus in women without depressive symptoms before pregnancy (p=0.01, for interaction).

      Conclusions

      These findings suggest that, in addition to primary prevention of childhood adversity, strategies to curb poor mental health trajectories among women exposed to adverse childhood experiences may contribute to prevention of gestational diabetes mellitus.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to American Journal of Preventive Medicine
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      REFERENCES

        • Ferrara A
        Increasing prevalence of gestational diabetes mellitus: a public health perspective.
        Diabetes Care. 2007; 30: S141‒S146
        • Zhu Y
        • Zhang C
        Prevalence of gestational diabetes and risk of progression to type 2 diabetes: a global perspective.
        Curr Diab Rep. 2016; 16: 7
        • Dabelea D
        The diabetic intrauterine environment: short and long-term consequences.
        in: Kim C Ferrara A Gestational Diabetes During and After Pregnancy. Springer-Verlag, London, UK2010: 227‒239
        • Guberman C
        • Kjos SL
        Maternal comorbidities during gestational diabetes mellitus: obstetrical complications, prematurity, and delivery.
        in: Kim C Ferrara A Gestational Diabetes During and After Pregnancy. Springer-Verlag, London, UK2010: 215‒226
        • Stephenson J
        • Heslehurst N
        • Hall J
        • et al.
        Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health.
        Lancet. 2018; 391: 1830‒1841
        • Schoenaker D
        • Mishra GD
        Association between age at menarche and gestational diabetes mellitus: the Australian Longitudinal Study on Women's Health.
        Am J Epidemiol. 2017; 185: 554‒561
        • WHO
        Preconception care to reduce maternal and childhood mortality and morbidity.
        WHO Press, Geneva2013
        • The Royal Australian and New Zealand College of Obstetricians and Gynaecologists
        Pre-pregnancy counselling.
        Published 2017
        • Hanson MA
        • Bardsley A
        • De-Regil LM
        • et al.
        The International Federation of Gynecology and Obstetrics (FIGO) recommendations on adolescent, preconception, and maternal nutrition: “Think Nutrition first”.
        Int J Gynecol Obstet. 2015; 131: S213‒S253
        • Felitti VJ
        • Anda RF
        • Nordenberg D
        • et al.
        Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the Adverse Childhood Experiences (ACE) Study.
        Am J Prev Med. 1998; 14: 245‒258
        • Hughes K
        • Bellis MA
        • Hardcastle KA
        • et al.
        The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis.
        Lancet Public Health. 2017; 2: e356‒e366
        • Rich-Edwards JW
        • James-Todd T
        • Mohllajee A
        • et al.
        Lifetime maternal experiences of abuse and risk of pre-natal depression in two demographically distinct populations in Boston.
        Int J Epidemiol. 2011; 40: 375‒384
        • Suglia SF
        • Koenen KC
        • Boynton-Jarrett R
        • et al.
        Childhood and adolescent adversity and cardiometabolic outcomes: a scientific statement from the American Heart Association.
        Circulation. 2018; 137: e15‒e28
        • Schoenaker DA
        • Soedamah-Muthu SS
        • Callaway LK
        • Mishra GD
        Pre-pregnancy dietary patterns and risk of gestational diabetes mellitus: results from an Australian population-based prospective cohort study.
        Diabetologia. 2015; 58: 2726‒2735
        • Aune D
        • Sen A
        • Henriksen T
        • Saugstad OD
        • Tonstad S
        Physical activity and the risk of gestational diabetes mellitus: a systematic review and dose–response meta-analysis of epidemiological studies.
        Eur J Epidemiol. 2016; 31: 967‒997
        • Zhang C
        • Tobias DK
        • Chavarro JE
        • et al.
        Adherence to healthy lifestyle and risk of gestational diabetes mellitus: prospective cohort study.
        BMJ. 2014; 349: g5450
        • Solomon CG
        • Willett WC
        • Carey VJ
        • et al.
        A prospective study of pregravid determinants of gestational diabetes mellitus.
        JAMA. 1997; 278: 1078‒1083
        • Hinkle SN
        • Buck Louis GM
        • Rawal S
        • et al.
        A longitudinal study of depression and gestational diabetes in pregnancy and the postpartum period.
        Diabetologia. 2016; 59: 2594‒2602
        • Beka Q
        • Bowker SL
        • Savu A
        • et al.
        History of mood or anxiety disorders and risk of gestational diabetes mellitus in a population-based cohort.
        Diabet Med. 2018; 35: 147‒151
        • Poston L
        • Caleyachetty R
        • Cnattingius S
        • et al.
        Preconceptional and maternal obesity: epidemiology and health consequences.
        Lancet Diabetes Endocrinol. 2016; 4: 1025‒1036
        • Ranchod YK
        • Headen IE
        • Petito LC
        • et al.
        Maternal childhood adversity, prepregnancy obesity, and gestational weight gain.
        Am J Prev Med. 2016; 50: 463‒469
        • Pervanidou P
        • Chrousos GP
        Metabolic consequences of stress during childhood and adolescence.
        Metabolism. 2012; 61: 611‒619
        • Berens AE
        • Jensen SKG
        • Nelson 3rd, CA
        Biological embedding of childhood adversity: from physiological mechanisms to clinical implications.
        BMC Med. 2017; 15: 135
        • Liu RT
        Childhood adversities and depression in adulthood: current findings and future directions.
        Clin Psychol. 2017; 24: 140‒153
        • Li M
        • D'Arcy C
        • Meng X
        Maltreatment in childhood substantially increases the risk of adult depression and anxiety in prospective cohort studies: systematic review, meta-analysis, and proportional attributable fractions.
        Psychol Med. 2016; 46: 717‒730
        • Mishra GD
        • Cooper R
        • Kuh D
        A life course approach to reproductive health: theory and methods.
        Maturitas. 2010; 65: 92‒97
        • Mason SM
        • Tobias DK
        • Clark CJ
        • et al.
        Abuse in childhood or adolescence and gestational diabetes: a retrospective cohort study.
        Am J Prev Med. 2016; 50: 436‒444
        • Brown WJ
        • Bryson L
        • Byles JE
        • et al.
        Women's Health Australia: Recruitment for a national longitudinal cohort study.
        Women & Health. 1998; 28: 23‒40
        • Lee C
        • Dobson AJ
        • Brown WJ
        • et al.
        Cohort profile: the Australian Longitudinal Study on Women's Health.
        Int J Epidemiol. 2005; 34: 987‒991
        • Gresham E
        • Forder P
        • Chojenta CL
        • et al.
        Agreement between self-reported perinatal outcomes and administrative data in New South Wales, Australia.
        BMC Pregnancy Childbirth. 2015; 15: 161
        • Bell S
        • Lee C
        Development of the perceived stress questionnaire for young women.
        Psychol Health Med. 2002; 7: 189‒201
        • Ware Jr, JE
        • Sherbourne CD
        The MOS 36-item short-form health survey (SF−36): I. Conceptual framework and item selection.
        Med Care. 1992; 30: 473‒483
        • Andresen EM
        • Malmgren JA
        • Carter WB
        • Patrick DL
        Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).
        Am J Prev Med. 1994; 10: 77‒84
        • Hodge A
        • Patterson AJ
        • Brown WJ
        • Ireland P
        • Giles G
        The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation.
        Aust N Z J Public Health. 2000; 24: 576‒583
        • Hanley JA
        • Negassa A
        • Edwardes MD
        • Forrester JE
        Statistical analysis of correlated data using generalized estimating equations: an orientation.
        Am J Epidemiol. 2003; 157: 364‒375
        • StataCorp LLC
        Stata multiple-imputation reference manual: release. 15. Stata Press, College Station, TX2017
        • Bland JM
        • Altman DG
        Multiple significance tests: the Bonferroni method.
        BMJ. 1995; 310: 170
        • MacKinnon DP
        Chapter 4: Single mediator model details.
        Introduction to Statistical Mediation Analysis: Multivariate Applications. Routledge, New York, NY2013
        • MacKinnon DP
        Chapter 5: Multiple mediator model.
        Introduction to StatisticalMediation Analysis: Multivariate Applications. Routledge, New York, NY2013: 103-127
      1. VanDerWeele T. Chapter 2. Mediation: Introduction and regression-based approaches. In: Explanation in Causal Inference. New York, NY: Oxford University Press; 2015:20-64.

        • Huffhines L
        • Noser A
        • Patton SR
        The link between adverse childhood experiences and diabetes.
        Curr Diab Rep. 2016; 16: 54
        • Huang H
        • Yan P
        • Shan Z
        • et al.
        Adverse childhood experiences and risk of type 2 diabetes: a systematic review and meta-analysis.
        Metabolism. 2015; 64: 1408‒1418
        • Scott KM
        • Von Korff M
        • Angermeyer MC
        • et al.
        Association of childhood adversities and early-onset mental disorders with adult-onset chronic physical conditions.
        Arch Gen Psychiatry. 2011; 68: 838‒844
        • Friedman EM
        • Montez JK
        • Sheehan CM
        • Guenewald TL
        • Seeman TE
        Childhood adversities and adult cardiometabolic health: does the quantity, timing, and type of adversity matter?.
        J Aging Health. 2015; 27: 1311‒1338
        • Widom CS
        • Czaja SJ
        • Bentley T
        • Johnson MS
        A prospective investigation of physical health outcomes in abused and neglected children: new findings from a 30-year follow-up.
        Am J Public Health. 2012; 102: 1135‒1144
        • Campbell JA
        • Farmer GC
        • Nguyen-Rodriguez S
        • Walker RJ
        • Egede LE
        Using path analysis to examine the relationship between sexual abuse in childhood and diabetes in adulthood in a sample of U.S. adults.
        Prev Med. 2018; 108: 1‒7
        • Bick J
        • Nelson CA
        Early adverse experiences and the developing brain.
        Neuropsychopharmacology. 2016; 41: 177‒196
        • Hart H
        • Rubia K
        Neuroimaging of child abuse: a critical review.
        Front Hum Neurosci. 2012; 6: 52‒75
        • Wilson KR
        • Hansen DJ
        • Li M
        The traumatic stress response in child maltreatment and resultant neuropsychological effects.
        Aggress Violent Behav. 2011; 16: 87-97
        • Heim C
        • Binder EB
        Current research trends in early life stress and depression: review of human studies on sensitive periods, gene-environment interactions, and epigenetics.
        Exp Neurol. 2012; 233: 102‒111
        • Nusslock R
        • Miller GE
        Early-life adversity and physical and emotional health across the lifespan: a neuroimmune network hypothesis.
        Biol Psychiatry. 2016; 80: 23‒32
        • Tsigos C
        • Chrousos GP
        Hypothalamic-pituitary-adrenal axis, neuroendocrine factors and stress.
        J Psychosom Res. 2002; 53: 865‒871
        • Danese A
        • McEwen BS
        Adverse childhood experiences, allostasis, allostatic load, and age-related disease.
        Physiol Behav. 2012; 106: 29‒39
        • Yancura LA
        • Aldwin CM
        Stability and change in retrospective reports of childhood experiences over a 5-year period: findings from the Davis Longitudinal Study.
        Psychol Aging. 2009; 24: 715‒721
        • Hardt J
        • Rutter M
        Validity of adult retrospective reports of adverse childhood experiences: review of the evidence.
        J Child Psychol Psychiatry. 2004; 45: 260‒273