ArticlePloS one2013
Optimal sleep duration in the subarctic with respect to obesity risk is 8-9 hours.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Social jetlag and obesity: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024Pooled it
- The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis.Frontiers in endocrinology · 2022Pooled it
- Exploring the Relationship between Chronotype and Waist Circumference: A Scoping Review.Sleep science (Sao Paulo, Brazil) · 2025Review
- Postpartum Lifestyle Behaviors among Women with Hypertensive Disorders of Pregnancy: Data from the HUNT Study.International journal of environmental research and public health · 2023Article
- The Effect of Chronotype on Addictive Eating Behavior and BMI among University Students: A Cross-Sectional Study.Nutrients · 2022Article
- Social jetlag, eating behaviours and BMI among adolescents in the USA.The British journal of nutrition · 2020Article
- Social Jetlag and Chronotypes in the Chinese Population: Analysis of Data Recorded by Wearable Devices.Journal of medical Internet research · 2019Article
- Sleep Duration and Obesity in Adults: What Are the Connections?Current obesity reports · 2016Review
- Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society on the Recommended Amount of Sleep for a Healthy Adult: Methodology and Discussion.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015Article
- Article
- An integrative review of sleep for nutrition professionals.Advances in nutrition (Bethesda, Md.) · 2014Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSleep duration, chronotype and social jetlag have been associated with body mass index (BMI) and abdominal obesity. The optimal sleep duration regarding BMI has previously been found to be 7-8 hours, but these studies have not been carried out in the subarctic or have lacked some central variables. The aims of our study were to examine the associations between sleep variables and body composition for people living in the subarctic, taking a range of variables into consideration, including lifestyle variables, health variables and biological factors.
methodsThe cross sectional population Tromsø Study was conducted in northern Norway, above the Arctic Circle. 6413 persons aged 30-65 years completed questionnaires including self-reported sleep times, lifestyle and health. They also measured height, weight, waist and hip circumference, and biological factors (non-fasting serum level of cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides and glucose). The study period was from 1 October 2007 to 19 December 2008.
resultsThe optimal sleep length regarding BMI and waist circumference was found to be 8-9 hours. Short sleepers (<6 h) had about 80% increased risk of being in the BMI≥25 kg/m2 group and male short sleepers had doubled risk of having waist circumference ≥102 cm compared to 8-9 hours sleepers. We found no impact of chronotype or social jetlag on BMI or abdominal obesity after controlling for health, lifestyle, and biological parameters.
conclusionsIn our subarctic population, the optimal sleep duration time regarding risk of overweight and abdominal obesity was 8-9 hours, which is one hour longer compared to findings from other studies. Short sleepers had 80% increased risk of being overweight, and men had a doubled risk of having abdominal obesity. We found no associations between chronotype or social jetlag and BMI or abdominal obesity, when we took a range of life-style, health and biological variables into consideration.
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