Birth intervals and perinatal health: an investigation of three hypotheses

J E Miller1

  • 1Office of Population Research, Princeton University.

Family Planning Perspectives
|March 1, 1991
PubMed

Insights

Short birth intervals increase infant health risks. Avoiding less than two years between births can decrease risks of low birth weight and neonatal death by 5-10%.

Area of Science:

  • Perinatal health
  • Reproductive epidemiology
  • Public health

Background:

  • Infants born within 12 months of a previous birth exhibit elevated health risks.
  • Potential contributing factors include prematurity, maternal selection, and maternal depletion.

Purpose of the Study:

  • To investigate the factors behind increased health risks associated with short birth intervals (less than 12 months).
  • To quantify the impact of prematurity, maternal selection, and maternal depletion on perinatal outcomes.

Main Methods:

  • Analysis of data from Hungary, Sweden, and the United States.
  • Statistical control for confounding effects of prematurity.
  • Examination of three hypotheses: confounding by prematurity, selection bias, and maternal depletion.

Main Results:

  • Prematurity is the primary contributor to excess risks in closely spaced births, especially for late fetal death.
  • Even after controlling for prematurity, short intervals (conception within months of prior birth) elevate risks of low birth weight, preterm birth, and neonatal death.
  • A 5-10% reduction in low birth weight and neonatal death is projected by avoiding birth intervals shorter than two years.

Conclusions:

  • Short interpregnancy intervals pose significant risks to infant health, with prematurity being a major mediator.
  • Maternal factors beyond prematurity also contribute to adverse outcomes in closely spaced births.
  • Extending birth intervals to at least two years is a viable strategy for improving infant health outcomes.

Related Concept Videos

Life Histories01:29

Life Histories

Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Development of Human Microbiota01:30

Development of Human Microbiota

The human microbiota begins developing at birth and undergoes continual change as we age. Infancy marks a critical period of microbial sensitivity, offering a “window of opportunity” during which beneficial microbes help mature the immune system. By age three, children typically develop a more stable and diverse microbial community. Newborns acquire microbes from their immediate environment; vaginal delivery favors maternal vaginal microbes, while cesarean births favor microbes from the skin...
Development of the Oral Microbiota01:28

Development of the Oral Microbiota

The establishment of the oral microbiome begins before birth, challenging the long-held belief that the fetal oral cavity is sterile. The presence of oral microbes such as Streptococcus and Fusobacterium in amniotic fluid suggests that microbial exposure may occur in utero, potentially through translocation from the maternal oral or gastrointestinal tract. This early colonization primes the neonatal immune system and sets the stage for subsequent microbial succession. Maternal health,...