Gestational weight gain in consecutive pregnancies

Chin, Jeannette; Krause, Katrina M.; Østbye, Truls; Nn, Chowdhury; Lovelady, Cheryl A.; Swamy, Geeta K.

doi:10.1016/j.ajog.2010.06.038

Cited by 33 publications

(36 citation statements)

References 35 publications

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“…Participants were classified as: underweight (BMI <18.5 kg/m 2 ), healthy weight (BMI 18.5–24.9 kg/m 2 ), overweight (BMI 25–29.9 kg/m 2 ), and obese (BMI >30 kg/m 2 ), according to the IOM guidelines for GWG [13, 23]. …”

Section: Methodsmentioning

confidence: 99%

“…GWG was calculated from the difference between the last and initial weight recorded in the medical record [13, 23]. IOM guidelines (2009) recommend the following weight gain in women during pregnancy: underweight 12.5–18 kg, healthy weight 11.5–16 kg, overweight 7–11.5 kg, and obese 5–9 kg [1].…”

Section: Methodsmentioning

confidence: 99%

“…IOM guidelines (2009) recommend the following weight gain in women during pregnancy: underweight 12.5–18 kg, healthy weight 11.5–16 kg, overweight 7–11.5 kg, and obese 5–9 kg [1]. Participants were classified as “inadequate GWG” if weight gain was below, “appropriate GWG” if weight gain was according, and “excessive GWG” if weight gain was above the IOM guidelines [23]. …”

Section: Methodsmentioning

confidence: 99%

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Diet, Pre-pregnancy BMI, and Gestational Weight Gain in Puerto Rican Women

Guilloty

Soto

Anzalota

et al. 2015

Matern Child Health J

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Objectives To describe the dietary patterns in pregnant woman and determine the association between diet factors, pre-pregnancy Body Mass Index (BMI) and socio-demographic characteristics with gestational weight gain (GWG). Methods This is a secondary analysis of a longitudinal cohort study of pregnant women exploring the risk factors for preterm birth, the Puerto Rico Testsite for Exploring Contamination Threats program. Recruitment was conducted during 2011–2014. Data was collected from multiple sources. GWG was calculated using maternal weight recorded in the medical records at the first and last prenatal visits and classified according to the Institute of Medicine guidelines. Sociodemographic characteristics were obtained at baseline using an interviewed-based questionnaire. Participants completed a self-administered food frequency questionnaire at 20–28 weeks to assess dietary patterns. Analysis of associations between variables was conducted using Chi Square tests. Results A total of 160 women with term pregnancies were included in this analysis. Mean pre-pregnancy BMI was 25.4 ± 5.48 kg/m2, with 44.4 % classified as overweight/obese. Excessive GWG was observed in 24.4 % of the participants. Socio-demographic characteristics were not associated with GWG. Being overweight/obese at the start of pregnancy was significantly associated with excessive GWG (p < 0.05). In addition, women consuming one or more fruit drinks per day were more likely to have an excessive GWG while those consuming less than one fruit drink per day were more likely to have an adequate GWG (p < 0.05). Conclusions for Practice Being obese before pregnancy and frequently consuming fruit drinks were important determinants of excessive GWG in this group.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Diet, Pre-pregnancy BMI, and Gestational Weight Gain in Puerto Rican Women

Guilloty

Soto

Anzalota

et al. 2015

Matern Child Health J

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show abstract

“…It was observed, by BMI measurement that, women with excessive weight gain in the first pregnancy are 2.6 times more likely to gain weight inappropriately in the second pregnancy [29]. Even using different methodology as the study design and the method of assessment of body composition, the results of the survey are similar, emphasizing the influence of pre-pregnancy weight in excessive weight gain during pregnancy.…”

Section: Discussionmentioning

confidence: 97%

Influence Of Number Of Pregnancies In Peak Expiratory Flow And Body Composition Of Pregnant Women

Santos

Souza²,

Tavares³

et al. 2017

int arch med

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Objectives: To describe and compare the mean values of the body composition and the peak expiratory flow (PEF) in primigravidae and multigravidae and, to determine its correlation with obstetric, anthropometric and body composition variables. Method:It was performed a cross-sectional study of 120 healthy pregnant women at low risk, including 77 primigravidae and 43 multigravidae. The PEF was measured by spirometry and the body composition by multisegmental electrical impedance. The unpaired t test was used to compare the groups and the Pearson correlation test was used to determine the association between PEF and independent variables. A multiple linear regression was used to estimate the relationship between the dependent variable, the PEF and the independent variables. Results: The body composition variables in multigravidae womenshowed higher values compared to the primigravidae, being statistically significant, except for fat mass. In primigravidae, the PEF was correlated significantly with maternal age and height. In multigravidae, the PEF was correlated with maternal age, height, pre-pregnancy and current weight, total body water, extracellular water, fat mass, lean mass and fat-free mass. A Multiple linear regression analysis showed that, in primigravidae, height and maternal age were associated with

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“…Firstly, it is worthy to note that primiparous women with lower prepregnancy body weight may have a greater scope for GWG than multiparous mothers with high body weight. Thus, successive pregnancies can cause further weight gain between pregnancies and multiparous women are present in their next pregnancy with BMIs more than before (Chin et al, 2010) and increasing parity is associated with mothers' obesity later in her life independent of other factors (Bastian, West, Corcoran, & Munger, 2005). This justification cannot be used in our study because the effect of BMI on GWG has been already adjusted.…”

Section: Discussionmentioning

confidence: 99%