Birth outcomes and early growth patterns associated with age at adiposity rebound: the Ma'anshan birth cohort (MABC)

Jixing Zhou1,2,3,4, Yuzhu Teng1,2,3,4, Shanshan Zhang1,2,3,4

  • 1Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.

BMC Public Health
|December 4, 2023
PubMed

Insights

Early adiposity rebound (AR) is linked to higher obesity risk. Birth outcomes like low birth weight and rapid weight gain in infancy increase the risk of early AR in children.

Area of Science:

  • Pediatric Endocrinology
  • Developmental Pediatrics
  • Obesity Research

Background:

  • Early onset of adiposity rebound (AR) is a significant predictor of future obesity.
  • Understanding the factors influencing early AR is crucial for developing preventative strategies.

Purpose of the Study:

  • To investigate the association between birth outcomes and early physical growth patterns with the timing of adiposity rebound in children.
  • To identify key developmental trajectories linked to an increased risk of early AR.

Main Methods:

  • Utilized data from 2705 children in the Ma'anshan Birth Cohort (MABC).
  • Employed group-based trajectory modeling (GBTM) to identify physical growth patterns.
  • Analyzed body mass index (BMI), waist circumference, body fat, and rapid weight gain (RWG) in the first two years of life.

Main Results:

  • High BMI, waist circumference, and body fat trajectories before 72 months were associated with a greater risk of early AR.
  • Low birth weight, preterm birth, and small for gestational age increased the risk of early AR.
  • Rapid weight gain (RWG) and specific BMI trajectories (low or rising) in the first two years also elevated the risk of developing early AR.

Conclusions:

  • Children exhibiting high adiposity indicators or specific early growth patterns (RWG, certain BMI trajectories) face a higher likelihood of early adiposity rebound.
  • Identifying these early risk factors is essential for understanding and mitigating metabolic risks associated with childhood obesity.
Abstract

Related Concept Videos

Signs of Puberty01:27

Signs of Puberty

Puberty is a critical phase, typically beginning between the ages of 8 and 13 in girls and 9 and 14 in boys, though timing can vary based on genetics, environmental factors, and overall health. This period is characterized by the development of secondary sexual characteristics and the attainment of reproductive potential. Endocrine changes underpin puberty, with hormonal surges of Luteinizing Hormone (LH) and Follicle-Stimulating Hormone (FSH) instigated by Gonadotropin-Releasing Hormone (GnRH)...
365
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...
6.3K
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...
12.0K
Nature and Nurture01:10

Nature and Nurture

Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience,...
20.5K
Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
507