Trends in Gestational Weight Gain From 2007 to 2019: A Prospective Cohort Study

Belle Martin1, David E Cantonwine2, Lyndsey A Darrow1

  • 1School of Public Health, University of Nevada, Reno, Reno, Nevada, USA.

Insights

Fewer women are meeting gestational weight gain (GWG) guidelines, with a significant increase in those gaining above recommendations. This trend was observed across various maternal characteristics, highlighting a concerning shift in GWG patterns.

Area of Science:

  • Maternal Health
  • Pregnancy Outcomes
  • Public Health Research

Background:

  • Gestational weight gain (GWG) is crucial for maternal and infant health.
  • National Academy of Medicine guidelines for GWG were established in 1990 and revised in 2009.
  • Temporal trends in GWG following the 2009 guideline revision remain understudied.

Purpose of the Study:

  • To evaluate temporal trends in total gestational weight gain (GWG).
  • To assess changes in GWG adherence to 2009 guidelines over time.
  • To analyze GWG trends stratified by maternal characteristics.

Main Methods:

  • Prospective cohort study in Boston (2007-2019) with 3675 participants.
  • Used mixed-effect models with 29,037 serial weight measures to predict delivery weight.
  • Categorized GWG as below, within, or above 2009 BMI-specific guidelines; analyzed trends using regression models.

Main Results:

  • Proportion of participants within GWG guidelines decreased from 46% (2007-2008) to 24% (2018-2019).
  • Proportion gaining above guidelines increased from 40% to 73%, notably in normal BMI and non-Hispanic Black/White women.
  • Geometric mean GWG increased from 8.3 kg to 10.9 kg.

Conclusions:

  • Evidence suggests fewer women are meeting revised GWG guidelines.
  • There is a significant increase in women gaining weight above recommendations.
  • Findings highlight a critical need to re-evaluate and address current GWG trends.
Abstract

Related Concept Videos

Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
4.3K
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.2K
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
449
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
15.2K
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
3.1K