Literature DB >> 20668167

Is sleep duration associated with obesity in older Australian adults?

Christopher A Magee1, Peter Caputi, Don C Iverson.   

Abstract

OBJECTIVES: To investigate the relationship between sleep duration and obesity in older Australian adults.
METHOD: Self-reported health data were collected through the 45 and Up Study. Multinomial logistic regression models were used to test the relationship between sleep duration and body mass index, controlling for a range of demographic and health-related variables.
RESULTS: The sample included 45,325 Australian adults aged 55 to 95 years. The regression models demonstrated that short and long sleep were associated with obesity in 55- to 64-year-olds but not in those aged 65 years and above. DISCUSSION: The present results suggest that the relationships between sleep duration and obesity previously reported in young and middle-aged adults are not evident in older adults. The absence of these relationships could reflect a combination of age-related factors that impact on sleep and body composition.

Entities:  

Mesh:

Year:  2010        PMID: 20668167     DOI: 10.1177/0898264310372780

Source DB:  PubMed          Journal:  J Aging Health        ISSN: 0898-2643


  14 in total

Review 1.  Is poor sleep associated with obesity in older adults? A narrative review of the literature.

Authors:  Maria C Norton; Stefano Eleuteri; Silvia Cerolini; Andrea Ballesio; Salvatore C Conte; Paolo Falaschi; Fabio Lucidi
Journal:  Eat Weight Disord       Date:  2017-10-28       Impact factor: 4.652

2.  Sleep duration and body mass index: moderating effect of self-perceived stress and age. Results of a cross-sectional population-based study.

Authors:  Adriana Rusu; Cornelia Bala; Mariana Graur; Gabriela Creteanu; Magdalena Morosanu; Gabriela Radulian; Amorin R Popa; Romulus Timar; Lucretia Pircalaboiu; Gabriela Roman
Journal:  Eat Weight Disord       Date:  2019-03-12       Impact factor: 4.652

Review 3.  The role of sleep duration in the regulation of energy balance: effects on energy intakes and expenditure.

Authors:  Marie-Pierre St-Onge
Journal:  J Clin Sleep Med       Date:  2013-01-15       Impact factor: 4.062

4.  Sleep quality as predictor of BMI in non-depressed caregivers of people with dementia.

Authors:  Stefano Eleuteri; Maria C Norton; Federica Livi; Caterina Grano; Paolo Falaschi; Cristiano Violani; Fabio Lucidi; Caterina Lombardo
Journal:  Eat Weight Disord       Date:  2018-08-10       Impact factor: 4.652

Review 5.  Sleep and obesity.

Authors:  Guglielmo Beccuti; Silvana Pannain
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2011-07       Impact factor: 4.294

6.  Sleep duration versus sleep insufficiency as predictors of cardiometabolic health outcomes.

Authors:  Nicole G Altman; Bilgay Izci-Balserak; Elizabeth Schopfer; Nicholas Jackson; Pinyo Rattanaumpawan; Philip R Gehrman; Nirav P Patel; Michael A Grandner
Journal:  Sleep Med       Date:  2012-11-08       Impact factor: 3.492

7.  Habitual sleep, sleep duration differential, and weight change among adults: Findings from the Wisconsin Sleep Cohort Study.

Authors:  Yin Liu; Mari Palta; Jodi H Barnet; Max T Roberts; Erika W Hagen; Paul E Peppard; Eric N Reither
Journal:  Sleep Health       Date:  2021-10-20

8.  Sleep quality of Shanghai residents: population-based cross-sectional study.

Authors:  Wenjun Wu; Yonggen Jiang; Na Wang; Meiying Zhu; Xing Liu; Feng Jiang; Genming Zhao; Qi Zhao
Journal:  Qual Life Res       Date:  2019-11-28       Impact factor: 4.147

9.  Gastrointestinal symptoms negatively impact on sleep quality among obese individuals: a population-based study.

Authors:  Guy D Eslick; Nicholas J Talley
Journal:  Sleep Breath       Date:  2015-10-31       Impact factor: 2.816

10.  Cross-sectional associations between multiple lifestyle behaviors and health-related quality of life in the 10,000 Steps cohort.

Authors:  Mitch J Duncan; Christopher E Kline; Corneel Vandelanotte; Charli Sargent; Naomi L Rogers; Lee Di Milia
Journal:  PLoS One       Date:  2014-04-08       Impact factor: 3.240

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