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Prospective Relationships between Health Cognitions and Excess Gestational Weight Gain in a Cohort of Healthy and Overweight Pregnant Women

Published:February 09, 2017DOI:https://doi.org/10.1016/j.jand.2016.12.011

      Abstract

      Background

      Excess gestational weight gain (GWG) contributes to long-term obesity in mothers and children. To guide the tailoring of interventions to prevent excess GWG, a better understanding is needed of the lifestyle-related health cognitions that influence women’s attempts to manage GWG.

      Objective

      To examine the relationship between health cognitions and excess GWG for women who enter pregnancy at a healthy weight (body mass index <25) or overweight (body mass index ≥25). It was hypothesized that health cognitions with a positive (negative) influence on health behavior would be associated with lower (higher) likelihood of excess GWG and that specific associations would differ between weight status groups.

      Design

      This prospective, observational study commenced when participants were <20 weeks’ gestation, continuing until the end of their pregnancy. A self-administered quantitative survey at recruitment assessed prepregnancy weight and lifestyle-related health cognitions. Height was measured at 16 weeks and weight at 36 weeks using standard procedures.

      Participants and setting

      A consecutive sample of pregnant women (n=715) were recruited from an Australian metropolitan hospital between August 2010 and January 2011. All women <20 weeks’ gestation were eligible unless they had preexisting type 1 or 2 diabetes or insufficient English language skills to complete questionnaires.

      Main outcome measures

      Excess GWG defined according to Institute of Medicine 2009 recommendations and predisposing, reinforcing, and enabling cognitions for lifestyle health behaviors.

      Statistical analyses performed

      Logistic regression analyses examined associations between health cognitions and excess GWG stratified for prepregnancy weight status.

      Results

      For healthy-weight women, higher weight locus of control scores were protective against excess GWG (odds ratio 0.6, 95% CI 0.4 to 0.8), whereas higher perceived risk scores (personal risk and risk arising from prepregnancy weight) (odds ratio 1.3, 95% CI 1.1 to 1.7) were associated with excess GWG. For overweight women higher negative outcome expectation scores were associated with an increased risk of excess GWG (odds ratio 1.4, 95% CI 1.1 to 2.0).

      Conclusions

      Lifestyle-related health cognitions are associated with excess GWG and differed by prepregnancy weight status, suggesting the need to tailor behavior change interventions accordingly.

      Keywords

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      Biography

      S. J. de Jersey is an advanced accredited practicing dietitian, Department of Nutrition and Dietetics, Royal Brisbane and Women’s Hospital, Herston, Queensland, Australia, and a visiting research fellow, School of Exercise and Nutrition Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia.

      Biography

      K. M. Mallan is a visiting research fellow, School of Exercise and Nutrition Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia, and a lecturer, School of Psychology (Brisbane Campus), Australian Catholic University, Banyo, Queensland, Australia.

      Biography

      L. K. Callaway is a professor of medicine, University of Queensland, Herston, Queensland, Australia, and an obstetric physician, Department of Internal Medicine, Royal Brisbane and Women’s Hospital, Herston, Queensland, Australia.

      Biography

      L. A. Daniels is head of the school, a professor, and a fellow of the Dietitians Association of Australia, School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Queensland, Australia.

      Biography

      J. M. Nicholson is the inaugural Roberta Holmes Professor, Judith Lumley Centre, La Trobe University, Melbourne, Victoria, Australia, and with the Centre for Learning Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia.