Unhealthy Sleep Patterns and Obesity: A Correlation in American Adults

Obesity is a major public health concern that has more than doubled in the past few decades, affecting over 890 million people globally. According to the National Health and Nutrition Survey, conducted by the National Center for Health Statistics, approximately 1 in 10 adults in the United States have obesity. In an effort to explore the relationship between sleep duration and obesity, a recent study published in BMC Public Health aimed to create a sleep pattern score based on the cumulative effect of sleep duration and quality. The study found a significant correlation between sleep pattern score and obesity risk. Defining Obesity

Obesity is a complex health condition characterized by excessive body fat, which can lead to various health complications, including insulin resistance, type 2 diabetes, nonalcoholic fatty liver disease, cardiovascular diseases, and cancer. The World Health Organization (WHO) defines obesity as a body mass index (BMI) of 30 or higher. Understanding Sleep and Its Importance

Sleep is a vital aspect of our overall health, with the National Sleep Foundation recommending that adults aim for 7-9 hours of sleep each night. However, many adults do not meet this recommendation, leading to sleep deprivation and its associated health risks. The study found that participants with obesity were more likely to experience excessive daytime sleepiness and sleep problems.

Characteristics of Obesity
Correlation between Sleep and Obesity
Sleep Patterns and Obesity

“Obesity poses significant risks to the human body, primarily by affecting metabolism and leading to a series of diseases such as insulin resistance, type 2 diabetes, nonalcoholic fatty liver disease, cardiovascular diseases, and cancer,”
“Therefore, it is increasingly important to take proactive measures to prevent and control obesity.”

Methodology

The study used data from the National Health and Nutrition Survey, a national survey conducted by the National Center for Health Statistics. The investigators calculated an overall sleep pattern score and stratified sleep patterns into 3 types: healthy, intermediate, and poor. Associations between sleep duration, sleep patterns, and obesity were determined through multivariable logistic regression models.

Data Collection
Calculation of Sleep Pattern Score
Association Analysis

The study included data from 4540 participants, with an average age of 50.5 years. Half of respondents (50%; n = 2271) were male, and 49.2% of respondents were non-Hispanic White (n = 2232). Participants with obesity were more likely to be female, non-Hispanic White, and less physically active. Key Findings

The study found that sleep duration and sleep pattern score were both independently associated with obesity occurrence. The nonlinear relationship between obesity and sleep duration showed that the effects of sleep above and below a threshold of 9.73 hours were 0.89 and 2.023, respectively.

Correlation between Sleep Pattern Score and Obesity Risk

Using sleep pattern score as a continuous variable in a crude, unadjusted model, the study found a significant correlation between the sleep pattern score and obesity risk. Adjustments did not significantly impact the results.

Correlation between Sleep Pattern Score and Obesity Risk
Association between Sleep Pattern Score and Obesity Risk

An analysis of the sleep score as a categorical variable showed that those with healthy sleep patterns had a lower likelihood of obesity compared with individuals who had poor sleep patterns. The risk of obesity was 41% higher among those with poor sleep patterns vs those with healthy sleep patterns in a model adjusting for age, sex, race, and ethnicity.