Postpartum diet quality in Australian women following a gestational diabetes pregnancy.
ABSTRACT Background/Objectives:To describe the diet quality of a national sample of Australian women with a recent history of gestational diabetes mellitus (GDM) and determine factors associated with adherence to national dietary recommendations.Subjects/Methods:A postpartum lifestyle survey with 1499 Australian women diagnosed with GDM 3 years previously. Diet quality was measured using the Australian recommended food score (ARFS) and weighted by demographic and diabetes management characteristics. Multinominal logistic regression analysis was used to determine the association between diet quality and demographic characteristics, health seeking behaviours and diabetes-related risk factors.Results:Mean (±s.d.) ARFS was 30.9±8.1 from a possible maximum score of 74. Subscale component scores demonstrated that the nuts/legumes, grains and fruits were the most poorly scored. Factors associated with being in the highest compared with the lowest ARFS quintile included age (odds ratio (OR) 5-year increase=1.40; 95% (confidence interval) CI:1.16-1.68), tertiary education (OR=2.19; 95% CI:1.52-3.17), speaking only English (OR=1.92; 95% CI:1.19-3.08), being sufficiently physically active (OR=2.11; 95% CI:1.46-3.05), returning for postpartum blood glucose testing (OR=1.75; 95% CI:1.23-2.50) and receiving risk reduction advice from a health professional (OR=1.80; 95% CI:1.24-2.60).Conclusions:Despite an increased risk of type 2 diabetes, women in this study had an overall poor diet quality as measured by the ARFS. Women with GDM should be targeted for interventions aimed at achieving a postpartum diet consistent with the guidelines for chronic disease prevention. Encouraging women to return for follow-up and providing risk reduction advice may be positive initial steps to improve diet quality, but additional strategies need to be identified.
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- "In addition, very few young women achieved a high diet quality score. The mean diet quality score in the highest tertile of each index was not high, indicating that interventions seeking to optimise diet quality in this age group are warranted as has been suggested previously [26–28]. In addition, a recent systematic review  has highlighted that intervention studies specifically targeting body weight are needed to prevent the development of overweight and obesity in this age group. "
ABSTRACT: This study investigates the relationship between diet quality and weight gain in young women. Young women (n = 4,287, with 1,356 women identified as plausible subsample aged 27.6 ± 1.5 years at baseline) sampled from the Australian Longitudinal Study on Women's Health study completed food frequency questionnaires in 2003, which were used to evaluate diet quality using three indices: Australian Recommended Food Score (ARFS), Australian Diet Quality Index (Aus-DQI), and Fruit and Vegetable Index (FAVI). Weight was self-reported in 2003 and 2009. Multivariate linear regression was used to examine the association between tertiles of each diet quality index and weight change from 2003 to 2009. The ARFS and FAVI were significant predictors of 6-year weight change in this group of young women, while Aus-DQI did not predict weight change (P > 0.05). In the fully adjusted model, those who were in the top tertile of the ARFS significantly gained lower weight gain compared with the lower tertile for the plausible TEI sub-sample (β = -1.6 kg (95% CI: -2.67 to -0.56), P = 0.003). In the fully adjustment model, young women were classified in the highest FAVI tertile and gained significantly less weight than those in the lowest tertile for the plausible TEI (β = -1.6 kg (95% CI: -2.4 to -0.3) P = 0.01). In conclusion, overall diet quality measured by the ARFS and the frequency and variety of fruit and vegetable consumption may predict long-term weight gain in young women. Therefore, health promotion programs encouraging frequent consumption of a wide variety of fruits and vegetables are warranted.Journal of obesity 08/2013; 2013:525161. DOI:10.1155/2013/525161
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ABSTRACT: During the postpartum period, women may experience unfavorable psychosocial and behavioral health in multiple domains with adverse effects on parenting and maternal and infant health. Yet, little is known about the accumulation of poor health across the domains of depressive symptoms; body image; diet and physical activity; substance use including smoking and alcohol; and general self-care at 6 weeks postpartum, the usual end of maternity care. The aims of this study were to evaluate relationships among the domains comprising psychosocial and behavioral health and to examine the distribution and risk factors associated with cumulative poor psychosocial and behavioral health at 6 weeks postpartum. This study was a secondary analysis of cumulative poor health assessed by self-report scales for depressive symptoms, body image dissatisfaction, diet and exercise, substance use, and general self-care among 419 low-income White, African American, and Hispanic women at 6 weeks postpartum. Multivariable Poisson and logistic regression were used in key analyses. The correlation among psychosocial and behavioral domains had a range of r = .50-.00. In this sample of women, 45% had two or more domains in which they had poor health. The model testing risk factors for cumulative poor health was significant (likelihood ratio chi-square = 39.26, df = 11, p < 0.05), with two significant factors: not exclusively breastfeeding (odds ratio [OR] = 1.459, 95% confidence interval [CI] [1.119, 1.901]) and Hispanic ethnicity (OR = 0.707, 95% CI [0.582, 0.858], psuedo-R = .029). Within individual domains, significant risk factors (body mass index, not exclusively breastfeeding, ethnicity, education level, and parity) varied by domain. Many low-income women postpartum have poor psychosocial and behavioral health in multiple domains, which constitute areas for health promotion and early disease prevention.Nursing research 01/2013; 62(4):233-242. DOI:10.1097/NNR.0b013e31829499ac · 1.50 Impact Factor
- Women and Birth 01/2014; 27(1). DOI:10.1016/j.wombi.2014.01.001 · 1.70 Impact Factor