The association between inadequate gestational weight gain and infant mortality among U.S. infants born in 2002

Regina R Davis1, Sandra L Hofferth

  • 1Department of Family Science, University of Maryland College Park, College Park, MD 20742, USA. regina.davis@att.net

Insights

Inadequate gestational weight gain significantly increases infant mortality risk by over twofold. This association persists across maternal demographics, highlighting its critical impact on infant survival.

Area of Science:

  • Obstetrics and Gynecology
  • Neonatal Health
  • Public Health

Background:

  • Infant mortality remains a significant public health concern.
  • Gestational weight gain is a modifiable factor influencing pregnancy outcomes.
  • Understanding the precise impact of inadequate gestational weight gain is crucial for targeted interventions.

Purpose of the Study:

  • To quantify the association between inadequate gestational weight gain and infant mortality.
  • To determine if this association is independent of other known risk factors.
  • To explore potential differences in this association across racial and ethnic groups.

Main Methods:

  • Utilized a large dataset (100,000 records) from the National Center for Health Statistics (NCHS) 2002 Birth Cohort Linked Birth/Infant Death Data File.
  • Employed descriptive statistics and proportional hazards regression analyses.
  • Adjusted for key covariates including gestational age, birth weight, maternal age, education, and race.

Main Results:

  • Nearly 30% of women had inadequate gestational weight gain.
  • Inadequate gestational weight gain was associated with a 2.23 times higher odds of infant death.
  • This increased risk remained significant after adjusting for multiple confounding factors.
  • The association between inadequate gestational weight gain and infant mortality did not vary by race, ethnicity, or maternal age.

Conclusions:

  • Inadequate gestational weight gain is a substantial and independent risk factor for infant mortality.
  • Public health strategies should focus on promoting adequate gestational weight gain for all pregnant individuals.
  • Interventions to improve gestational weight gain may help reduce infant mortality disparities.

Related Concept Videos

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, suggesting a...
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...
Teratogenicity01:07

Teratogenicity

The ability of a drug to produce structural deformations and functional abnormalities in the developing embryo or the fetus is called teratogenicity, and the drug producing this effect is known as a teratogen. Teratogenic effects include stillbirth, miscarriage, intrauterine growth restriction, and neurocognitive delay. A teratogen may affect the embryo at different stages of development, which is important in determining the type and extent of the damage. During blastocyst formation, the early...
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 researchers try to extrapolate results...