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Overweight and Obese Patients in a Primary Care Population Report Less Sleep Than Patients With a Normal Body Mass Index
Abstract
BACKGROUND: Insufficient sleep and obesity are common in the United States. Restricted sleep causes important neurocognitive changes, including excessive daytime sleepiness and altered mood. This may result in work-related injuries and automotive crashes. Evidence links sleep loss to hormonal changes that could result in obesity. This article examines the association between restricted sleep and obesity in a heterogeneous adult primary care population. METHODS: A total of 1001 patients from 4 primary care practices participated in this prospective study. Patients completed a questionnaire administered by a nurse or study coordinator concerning demographics, medical problems, sleep habits, and sleep disorders. Professional staff measured height and weight in the office. The relationship between body mass index (BMI) and reported total sleep time per 24 hours was analyzed after categorizing patients according to their BMI (calculated as weight in kilograms divided by the square of height in meters) as being of normal weight (<25), overweight (25-29.9), obese (30-39.9), or extremely obese (> or =40). RESULTS: Analyzable forms from 924 patients aged between 18 and 91 years indicated that (1) the mean BMI was 30; (2) women slept more than men; (3) overweight and obese patients slept less than patients with a normal BMI (patients reported less sleep in a nearly linear relationship from the normal through the obese group); and (4) this trend of decreasing sleep time was reversed in the extremely obese patients. CONCLUSIONS: This study found that reduced amounts of sleep are associated with overweight and obese status. Interventions manipulating total sleep time could elucidate a cause-and-effect relationship between insufficient sleep and obesity.
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“Insufficient sleep duration (quantity) has been associated with an increased risk of obesity (3–6,51), type 2 diabetes (7–11), hypertension (12), cardiovascular disease (13,14), metabolic syndrome (a combination of cardiovascular and metabolic dysfunction) (15), and early mortality (14,16,17,19–21,52).”
From Sleep Restriction for 1 Week Reduces Insulin Sensitivity in Healthy Men (2010) · cites this paper as [6]
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“An increasing number of epidemiological studies have reported an association between short sleep duration and higher risk of developing obesity and type II diabetes [86–89].”
From Impact of Sleep and Its Disturbances on Hypothalamo-Pituitary-Adrenal Axis Activity (2010) · cites this paper as [87]
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Metadata
- Authors
- Vorona, R. D., Winn, M. P., Babineau, T. W., Eng, B. P., Feldman, H. R., & Ware, J. C.
- Affiliations
- Sentara Norfolk General Hospital (US)
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2005-01-10
- Volume
- 165
- Issue
- 1
- Pages
- 25
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2171783792
- Cited by
- 405
- References
- 18
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 7 · 2023: 5 · 2022: 8 · 2021: 12 · 2020: 14 · 2019: 12 · 2018: 8 · 2017: 21 · 2016: 18 · 2015: 13 · 2014: 30 · 2013: 22 · 2012: 28
- FWCI
- 40.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eastern Virginia Medical School
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- sleep duration, obesity, overweight, body mass index, insufficient sleep, primary care patients, sex differences in sleep, extremely obese patients
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Obesity, Primary Health Care, Prospective Studies, Surveys and Questionnaires, Sleep Deprivation, United States, Weight Gain, Body Mass Index
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