scholarly journals Higher Parity, Pre-Pregnancy BMI and Rate of Gestational Weight Gain Are Associated with Gestational Diabetes Mellitus in Food Insecure Women

Author(s):  
Heng Yaw Yong ◽  
Zalilah Mohd Shariff ◽  
Barakatun Nisak Mohd Yusof ◽  
Zulida Rejali ◽  
Yvonne Yee Siang Tee ◽  
...  

Food insecurity may exacerbate adverse maternal health outcomes during pregnancy, however, this association has not been well established, particularly in the context of developing countries. This study aimed to identify the associations between household food insecurity and gestational diabetes mellitus (GDM) risk among urban pregnant women. Household food insecurity was assessed using the translated 10-item Radimer/Cornell hunger scale. Logistic regression models were used to estimate the associations between food insecurity status and GDM risk. About 35.6% of women experienced food insecurity, with 25.2% reported household food insecurity, 8.0% individual food insecurity, and 2.4% child hunger. Food insecure women were at significantly higher risk of developing GDM compared to food secure women (AOR = 16.65, 95% CI = 6.17–24.98). The significant association between food insecurity and GDM risk was influenced by pre-pregnancy BMI, parity and rate of GWG at second trimester. Food insecure women with parity ≥ 2 (AOR = 4.21, 95% CI = 1.98–8.92), overweight/obese BMI prior to pregnancy (AOR = 12.11, 95% CI = 6.09–24.10) and excessive rate of GWG in the second trimester (AOR = 9.66, 95% CI = 4.27–21.83) were significantly more likely to develop GDM compared to food secure women. Food insecurity showed strong association with GDM risk in that the association was influenced by maternal biological and physical characteristics. Multipronged interventions may be necessary for food insecure pregnant women who are not only at risk of overweight/obesity prior to pregnancy but also may have excessive gestational weight gain, in order to effectively reduce GDM risk.

2021 ◽  
Author(s):  
Masoomeh Gholizadeh ◽  
Tohid Rouzitalab ◽  
Saeid Ghavamzadeh ◽  
Elnaz Daneshzad

Abstract Background: This study sought to evaluate the association between selected micronutrients (zinc, copper, and magnesium), pre-pregnancy BMI, and weight gain during pregnancy with the risk of gestational diabetes mellitus third-trimester pregnant women Urmia, Iran. Methods: This analytic cross-sectional study included 400 pregnant women. The nutritional, demographic, clinical data, and fasting blood samples (selected micronutrients and blood glucose) were evaluated. The data were analyzed using chi-square, independent t-test, and logistic regression tests. Results: The prevalence of gestational diabetes mellitus (GDM) was 18%. The OR for GDM was (OR: 0.329; 95% CI: 0.156-0.696) in normal-weight compared to mothers who were obese before pregnancy. Normal serum zinc concentration was associated with 0.413-fold lower rates of developing GDM (95% CI: 0.227-0.750). Magnesium supplementation was inversely associated with the risk of GDM (OR: 0.986; 95% CI: 0.979-0.994). Inadequate and excessive gestational weight gain was significantly associated with developing GDM in lean and obese women before pregnancy, respectively (p=0.01, p=0.003). Conclusions: Gestational diabetes is highly prevalent in Urmia, and it is likely related to excessive serum zinc concentrations, elevated pre-pregnancy BMI, and gestational weight gain.


Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1842
Author(s):  
Vanessa Averof Honorato de Almeida ◽  
Rafaela Alkmin da Costa ◽  
Cristiane de Freitas Paganoti ◽  
Fernanda Cristina Mikami ◽  
Ana Maria da Silva Sousa ◽  
...  

The aim of this study was to evaluate the Diet Quality Index (DQI) and the Physical Activity (PA) levels associated with adequacy of gestational weight gain in pregnant women with gestational diabetes mellitus (GDM). A total of 172 pregnant women with a single fetus and a diagnosis of GDM participated. Food intake was self-reported on the food frequency questionnaire and DQI was quantified using the index validated and revised for Brazil (DQI-R). To assess PA, the Pregnancy Physical Activity Questionnaire was administered. Gestational weight gain was classified, following the criteria of the Institute of Medicine, into adequate (AWG), insufficient (IWG), or excessive (EWG) weight gain. A multinomial logistic regression analysis was performed, with level of significance <0.05. The participants were divided into 3 groups: AWG (33.1%), IWG (27.3%), and EWG (39.5%). The analysis indicated that if the pregnant women PA fell into tertile 1 or 2, then they had a greater chance of having IWG, whereas those with the lowest scores on the DQI-R, whose PA fell into tertile 2, and pregestational obesity women had the greatest chance of having EWG. This study has shown that low PA levels may contribute towards IWG. On the other hand, a low final DQI-R score, representing inadequate food habits, low PA levels, and pregestational obesity may increase the chance of EWG in patients with GDM.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aléxia Vieira de Abreu Rodrigues ◽  
Ana Lúcia Pires Augusto ◽  
Rosana Salles-Costa

Abstract Background Inadequate gestational weight gain (GWG) is associated with adverse outcomes in maternal and child health and can be enhanced by social inequalities, such as lower education and household food insecurity (HFI). Women are more vulnerable to HFI, which has been associated with negative health effects for pregnant women during the prenatal and puerperal periods, particularly in regard to the aggravation of pregnancy risks. This study investigated the association between sociodemographic characteristics and HFI with respect to adequacy of total GWG among women with high-risk pregnancies. Methods This was a prospective cohort study that evaluated the total GWG of 169 pregnant women. The women were seen at a public university hospital in the metropolitan region of Rio de Janeiro (Brazil). Their sociodemographic and gestational characteristics and the Brazilian Scale of Domestic Food Insecurity were investigated. To estimate the total GWG, the difference between the patient weight at the last prenatal visit and the initial patient weight was verified, with both collected from the medical records of the pregnant women. The classification of the total GWG considered the recommendations of the Institute of Medicine (IOM) (2009). A multinomial logistic regression model assessed the risk (odds ratio; OR) and confidence intervals (CI 95%)) of insufficient and excessive GWG with exposure to HFI and other covariates (p value <0.05). Results Insufficient and excessive GWG were observed in 27.8% and 47.9% of the pregnant women, respectively. More than half of the women (74.6%) had a high education level. Exposure to mild HFI occurred in 44.2% of the women. After adjustment, the HFI was not associated with insufficient or excessive GWG. The educational level of women was the only variable significantly associated with a lower risk of GWG insufficiency (OR: 0.10; 95% CI: 0.01–0.89). Conclusions In this population, higher maternal education was a protective factor against insufficient GWG. We highlight the importance of additional health support and counseling for women in the most vulnerable social conditions, considering the importance of access to information for reducing health risks.


2015 ◽  
Vol 212 (1) ◽  
pp. S229
Author(s):  
Amy O'Higgins ◽  
Lisa O'Higgins ◽  
Anne Fennessy ◽  
Thomas McCartan ◽  
Laura Mullaney ◽  
...  

Diabetologia ◽  
2018 ◽  
Vol 61 (12) ◽  
pp. 2528-2538 ◽  
Author(s):  
Lise L. Kurtzhals ◽  
Sidse K. Nørgaard ◽  
Anna L. Secher ◽  
Vibeke L. Nichum ◽  
Helle Ronneby ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Heng Yaw Yong ◽  
Zalilah Mohd Shariff ◽  
Barakatun Nisak Mohd Yusof ◽  
Zulida Rejali ◽  
Jacques Bindels ◽  
...  

Abstract Background Although physical activity (PA) in pregnancy benefits most women, not much is known about pregnancy-related changes in PA and its association with gestational diabetes mellitus (GDM) risk. The aim of this study was to identify the trajectory of PA during pregnancy and possible associations with the risk of GDM. Methods This was a prospective cohort study of 452 pregnant women recruited from 3 health clinics in a southern state of Peninsular Malaysia. PA levels at the first, second, and third trimester were assessed using the Pregnancy Physical Activity Questionnaire. GDM was diagnosed at 24–28 weeks of gestation following the Ministry of Health Malaysia criteria. Group-based trajectory modeling was used to identify PA trajectories. Three multivariate logistic models were used to estimate the odds of trajectory group membership and GDM. Results Two distinct PA trajectories were identified: low PA levels in all intensity of PA and sedentary behavior (Group 1: 61.1%, n = 276) and high PA levels in all intensity of PA as well as sedentary behavior (Group 2: 38.9%, n = 176). Moderate and high intensity PA decreased over the course of pregnancy in both groups. Women in group 2 had significantly higher risk of GDM in two of the estimated logistic models. In all models, significant associations between PA trajectories and GDM were only observed among women with excessive gestational weight gain in the second trimester. Conclusions Women with high sedentary behavior were significantly at higher risk of GDM despite high PA levels by intensity and this association was significant only among women with excessive GWG in the second trimester. Participation in high sedentary behavior may outweigh the benefit of engaging in high PA to mitigate the risk of GDM.


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