Sleep differences in one-year-old children were related to obesity risks based on their parents' weight according to

Mirjam Ekstedt1,2, Mojgan Haji Seyed Ebrahim Darkeh3, Lijuan Xiu4

  • 1Department of Learning, Informatics, Management and Ethics, LIME, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden.

Insights

Children with higher obesity risk due to parental weight had poorer sleep, including later bedtimes and less sleep efficiency. These sleep patterns were linked to family obesity risk and parental sleep habits.

Area of Science:

  • Pediatrics
  • Public Health
  • Sleep Medicine

Background:

  • Parental obesity is a significant predictor of childhood obesity.
  • Understanding early life factors influencing child obesity risk is crucial for prevention.

Purpose of the Study:

  • To compare sleep patterns in one-year-old children based on parental obesity risk.
  • To investigate associations between child sleep, weight status, family obesity risk, and parental sleep.

Main Methods:

  • Analysis of baseline data from 167 families in a longitudinal obesity prevention program.
  • Comparison of sleep patterns between children with high and low obesity risk (defined by parental weight).
  • Assessment of child sleep using diaries and questionnaires; evaluation of parental sleep and family factors.

Main Results:

  • Children in the high-risk group exhibited later bedtimes, longer sleep onset latency, and lower sleep efficiency.
  • Child sleep onset latency correlated with family obesity risk.
  • Child bedtime was associated with maternal and paternal bedtimes.
  • Child sleep efficiency was linked to maternal sleep quality.
  • Child's bedtime showed a weak association with their body mass index.

Conclusions:

  • Significant differences in sleep were observed in one-year-olds based on parental obesity risk.
  • Child sleep is associated with family obesity risk and parental sleep characteristics.
  • A weak link exists between a child's bedtime and their weight status.
Abstract

Related Concept Videos

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...
1.5K
Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
325
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution01:25

Pharmacokinetics in Obese Patients: Drug Absorption and Distribution

Obesity significantly alters the pharmacokinetic processes of drug absorption and distribution, presenting unique challenges in medical treatment. The increased fat tissue and decreased lean muscle in obese individuals can significantly affect how drugs are absorbed into the body and distributed across different tissues. This alteration can lead to variances in the effectiveness and safety of medications, necessitating adjustments in dosing or drug selection for obese patients.One notable...
342
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...
7.3K
Sleep Apnea01:21

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
693
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,...
22.6K