Predictors of gestational weight gain among Chilean pregnant women: The Chilean Maternal and Infant Nutrition Cohort study

Garmendia, María Luisa; Mondschein, Susana; Matus, Omar; Murrugarra, Ruth I.; Uauy, Ricardo

doi:10.1080/07399332.2017.1332627

Cited by 8 publications

(10 citation statements)

References 24 publications

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“…Additionally, regarding risk factors for excessive GWG, an overweight or obese pre-pregnancy BMI was strongly associated with increased risk of excessive compared to normal GWG. Although the confidence intervals suggest this data should be interpreted with caution, reassuringly these findings are similar to existing literature in countries other than the UK, which consistently suggest that this is a risk factor for excessive weight gain [12,13,31]. In light of these findings it is vital to ensure all pregnant women in the UK receive advice on weight management at the earliest possible opportunity in pregnancy.…”

Section: Discussionsupporting

confidence: 78%

Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach

Garay

Sumption

Pearson

et al. 2021

BMC Pregnancy Childbirth

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Background Gestational weight gain (GWG) can have implications for the health of both mother and child. However, the contributing factors remain unclear. Despite the advantages of using a biopsychosocial approach, this approach has not been applied to study GWG in the UK. This study aimed to investigate the risk factors of excessive GWG in a UK population, employing a biopsychosocial model. Methods This study utilised data from the longitudinal Grown in Wales (GiW) cohort, which recruited women in late pregnancy in South Wales. Specifically, data was collected from midwife recorded notes and an extensive questionnaire completed prior to an elective caesarean section (ELCS) delivery. GWG was categorised according to Institute of Medicine (IOM) guidelines. The analysis was undertaken for 275 participants. Results In this population 56.0% of women had excessive GWG. Increased prenatal depression symptoms (Exp(B)=1.10, p=.019) and an overweight (Exp(B)=4.16, p<.001) or obese (Exp(B)=4.20, p=.010) pre-pregnancy BMI, consuming alcohol in pregnancy (Exp(B)=.37, p=.005) and an income of less than £18,000 (Exp(B)=.24, p=.043) and £25–43,000 (Exp(B)=.25, p=.002) were associated with excessive GWG. Conclusion GWG is complex and influenced by a range of biopsychosocial factors, with the high prevalence of excessive weight gain in this population a cause for concern. Women in the UK may benefit from a revised approach toward GWG within the National Health Service (NHS), such as tracking weight gain throughout pregnancy. Additionally, this research provides evidence for potential targets for future interventions, and potentially at-risk populations to target, to improve GWG outcomes.

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Section: Discussionsupporting

confidence: 78%

Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach

Garay

Sumption

Pearson

et al. 2021

BMC Pregnancy Childbirth

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“…1). Included studies were published between 2010 and 2018, 21 were from North America , 20 were from Europe [5,[42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60], 13 were from Asia [29][30][31][32][33][34][35][36][37][38][39][40][41], four were from Oceania [82][83][84][85], four were from South America [86][87][88][89] and one was from Africa [28].…”

Section: Study Selectionmentioning

confidence: 99%

“…The population recruitment periods were 1 year in 12 studies [28,34,35 [5, 28, 29, 31-35, 38-42, 44, 49-51, 53, 55, 56, 58, 61, 66, 68-72, 75, 77, 79, 81, 82, 85-89] and seven studies used women's self-reported data [37,64,67,73,74,80]. However, regarding the methods of collecting prepregnancy BMI data: only two studies measured it [52,60], twelve used medical records [5,28,29,39,44,49,57,68,77,79,86,89], two used both medical records and self-reported data [43,76], and twenty four used self-reported prepregnancy BMI [29, 32, 34, 37, 45-48, 50, 51, 53, 54, 59, 62-67, 73, 75, 84, 85, 87].…”

Section: Study Selectionmentioning

confidence: 99%

Monitoring gestational weight gain and prepregnancy BMI using the 2009 IOM guidelines in the global population: a systematic review and meta-analysis

Martínez‐Hortelano

Cavero‐Redondo

Álvarez‐Bueno

et al. 2020

BMC Pregnancy Childbirth

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Background Previous studies have reported a high prevalence of excessive gestational weight gain (GWG) in women with prepregnancy BMI classified as overweight and obese. However, the joint evidence regarding GWG and prepregnancy BMI in the worldwide population has not been synthesized. Thus, this systematic review and meta-analysis aimed to estimate global and regional mean GWG and the prevalence of GWG above, within and below 2009 Institute of Medicine (IOM) guidelines. Second, we aimed to estimate global and regional prepregnancy BMI and the prevalence of BMI categories according to World Health Organization (WHO) classification. Methods We searched Medline, Embase, the Cochrane Library and Web of Science to identify observational studies until 9 May 2018. We included studies published from 2009 that used 2009 IOM guidelines, reporting data from women in general population with singleton pregnancies. The 2009 IOM categories for GWG and the WHO categories for prepregnancy BMI were used. DerSimonian and Laird random effects methods were used to estimate the pooled and their respective 95% confidence intervals (95% CIs) of the mean and by category rates of GWG and prepregnancy BMI, calculated by global and regions. Results Sixty-three published studies from 29 countries with a total sample size of 1,416,915 women were included. The global prevalence of GWG above and below the 2009 IOM guidelines, was 27.8% (95% CI; 26.5, 29.1) and 39.4% (95% CI; 37.1, 41.7), respectively. Furthermore, meta-regression analyses showed that the mean GWG and the prevalence of GWG above guidelines have increased. The global prevalence of overweight and obesity, was 23.0% (95% CI; 22.3, 23.7) and 16.3% (95% CI; 15.4, 17.4), respectively. The highest mean GWG and prepregnancy BMI were in North America and the lowest were in Asia. Conclusions Considering the high prevalence of GWG above the 2009 IOM guidelines and women with overweight/obesity and their continuously increasing trend in most regions, clinicians should recommend lifestyle interventions to improve women’s weight during reproductive age. Due to regional variability, these interventions should be adapted to each cultural context. Trial registration Prospectively registered with PROSPERO (CRD42018093562).

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“…El ENP es un fuerte predictor de crecimiento y desarrollo en los primeros años de vida y se relaciona a la presencia de enfermedades no transmisibles en la edad adulta 37 . Por ello, nuestros hallazgos son consistentes con otros autores que han indicado la importancia de controlar el aumento de peso durante la gestación como factor de riesgo de sobrepeso infantil, destacando, además, la necesidad de evaluar el efecto de la variación de peso en cada semestre del período gestacional como un factor preventivo de problemas de malnutrición por exceso infantil 9,38,39,40 .…”

Section: Característicasunclassified

Malnutrición por exceso en niños de 5 a 10 años y su asociación con el estado nutricional pre y gestacional, lactancia materna y patología materna

Rivera¹,

Rojas²,

Maury-Sintjago³

et al. 2022

Rev. chil. nutr.

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La malnutrición por exceso es un problema de salud pública relevante, con origen multifactorial y factores asociados como el estado nutricional pregestacional (ENP), durante y post gestación, ganancia excesiva de peso (EGP) gestacional y duración de la lactancia materna. El objetivo del estudio fue evaluar la malnutrición por exceso en niños de 5 a 10 años y su asociación con el estado nutricional pre y gestacional, lactancia materna exclusiva (LME) y patologías maternas. Se realizó un estudio con 213 niños y niñas estudiantes de 5 a 10 años. Los datos biosociodemográficos se obtuvieron mediante entrevistas con las madres y datos maternos previos y el embarazo con el carné de control. El estimó estado nutricional se estimó con z-score del peso para la talla e IMC/E, según sexo. Para los análisis estadísticos se usó el software STATA 15.0.

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Predictors of gestational weight gain among Chilean pregnant women: The Chilean Maternal and Infant Nutrition Cohort study

Cited by 8 publications

References 24 publications

Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach

Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach

Monitoring gestational weight gain and prepregnancy BMI using the 2009 IOM guidelines in the global population: a systematic review and meta-analysis

Malnutrición por exceso en niños de 5 a 10 años y su asociación con el estado nutricional pre y gestacional, lactancia materna y patología materna

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