Sleep and weight-related factors in youth: A systematic review of recent studies

Kendra N Krietsch1, Marie L Chardon2, Dean W Beebe3

  • 1Cincinnati Children's Hospital and Medical Center, USA.

Insights

This review found inconsistent evidence linking pediatric sleep patterns to weight-related behaviors. More rigorous research is needed to understand the complex relationship between sleep and childhood obesity.

Area of Science:

  • Pediatric Endocrinology
  • Behavioral Science
  • Public Health

Background:

  • The link between pediatric sleep and obesity is widely speculated but lacks robust, synthesized evidence.
  • Previous reviews focused on body mass, not the behavioral mechanisms influencing weight.
  • A need exists for systematic evaluation of sleep's impact on behaviors like diet and activity in youth.

Purpose of the Study:

  • To systematically review recent studies on pediatric sleep and weight-related behaviors.
  • To identify literature gaps and methodological limitations in current research.
  • To provide recommendations for future research directions in this field.

Main Methods:

  • Systematic review of 86 articles published between 2012 and 2017.
  • Included studies investigated sleep in relation to dietary intake, eating behavior, physical/sedentary activity, and appetite hormones.
  • Screened over 4,300 articles for relevance.

Main Results:

  • Findings on sleep and weight-related mechanisms were highly variable, with a high risk of bias noted in many studies.
  • No consistent cross-sectional association was found between sleep duration and caloric intake.
  • Shorter or later sleep was associated with increased sedentary and screen time.

Conclusions:

  • Current evidence on the mechanisms linking pediatric sleep and obesity is inconsistent and methodologically limited.
  • Variability in results is likely due to inconsistent methodologies, weak measurements, and a lack of longitudinal/experimental designs.
  • Future research requires more rigorous methods to advance understanding of sleep's role in childhood weight management.

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.9K
Insufficient Sleep and Sleep Deprivation01:13

Insufficient Sleep and Sleep Deprivation

Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
858
Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
6.2K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.7K
Stages of Sleep01:22

Stages of Sleep

Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
1.4K