Why are babies weaned early? Data from a prospective population based cohort study

C M Wright1, K N Parkinson, R F Drewett

  • 1Department of Child Health, University of Glasgow, UK. charlotte.wright@clinmed.gla.ac.uk

Insights

Most infants start solids before 4 months, earlier than recommended. Early weaning, influenced by factors like rapid weight gain and socioeconomic status, is linked to increased infant diarrhea risk.

Area of Science:

  • Pediatric Nutrition
  • Infant Health
  • Public Health

Background:

  • UK infant feeding guidelines recommend introducing solids at 6 months.
  • Current practices show most infants are weaned before 4 months.

Purpose of the Study:

  • To identify predictors of infant weaning age.
  • To investigate the relationship between weaning age, infant weight gain, and morbidity.

Main Methods:

  • Prospective study of 923 term infants using questionnaires and diaries.
  • Data from 707 infants (77%) on weaning age, weight, and health outcomes.

Main Results:

  • Median weaning age was 3.5 months; 21% started before 3 months.
  • Early weaning predictors: rapid early weight gain, lower socioeconomic status, perceived infant hunger, feeding mode.
  • No link between post-6-week weight gain and weaning age.
  • Weaning before 3 months increased diarrhea risk compared to after 4 months.

Conclusions:

  • Social factors influence weaning timing, but most infants start solids before 4 months without issues.
  • Earlier weaning is associated with a higher incidence of minor infant morbidity, including diarrhea.
Abstract

Related Concept Videos

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...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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,...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...