Sleep duration, general and abdominal obesity, and weight change among the older adult population of Spain

López-Garcı́a, Esther; Faubel, Raquel; León‐Muñoz, Luz M.; Zuluaga, M. Clemencia; Banegas, José R.; Rodríguez‐Artalejo, Fernando

doi:10.1093/ajcn/87.2.310

Cited by 143 publications

(132 citation statements)

References 30 publications

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“…Findings have been less consistent in prospective studies of adults (5,6). Of 14 published studies, 6 have reported associations between short sleep duration and subsequent weight gain in all subgroups examined (7)(8)(9)(10)(11)(12), 4 found associations only in selected subgroups (13)(14)(15)(16), and 4 found no association (17)(18)(19)(20).…”

mentioning

confidence: 96%

Sleep Duration and Weight Change in Midlife Women: The SWAN Sleep Study

Appelhans¹,

Janssen²,

Cursio³

et al. 2012

Obesity

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mentioning

confidence: 96%

Sleep Duration and Weight Change in Midlife Women: The SWAN Sleep Study

Appelhans¹,

Janssen²,

Cursio³

et al. 2012

Obesity

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“…However, several authors confirmed that longer sleep duration is related to a greater risk of overweight and/or obesity and a greater mass gain [17,41,42]. Tu et al [43] noted that participants who had higher measurements for BMI and waist circumference were less likely to have short sleep duration and more likely to have long sleep duration.…”

Section: Discussionmentioning

confidence: 99%

“…The results obtained by other authors are inconclusive. Most papers showed that associations between sleep duration and BMI are stronger, or occur only in women, not in men [16,17,42,45,46]. St-Onge et al [15] also state that the relationship be- tween self-reported sleep duration and body composition may be stronger in women than in men.…”

Section: Discussionmentioning

confidence: 99%

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Sleep duration and the risk of obesity – a cross-sectional study

Suliga¹,

Kozieł²,

Cieśla³

et al. 2017

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Introduction: So far, the association between a longer sleep duration, state of health, and the risk of obesity and the influence of gender on the association between sleep duration and the risk of obesity has not been fully explained. Aim of the research: To examine the relationships between self-reported sleep duration, body mass index (BMI), and body fat percentage (%BF), and also to determine whether such associations are the same in men and in women. Material and methods: This study included 10,367 participants aged 37 to 66 years. Logistic regression was applied for risk assessment of the prevalence of abnormal BMI values and %BF in groups of sleep duration. Sleep of 7-8 h per night was adopted as a reference level. Results: In men, the risk of obesity was significantly greater only in the group sleeping ≤ 6 h (OR = 1.18, 95% CI: 1.08-1.28; p < 0.05); however, in women, only among those sleeping ≥ 9 h (OR = 1.14, 95% CI: 1.02-1.26; p < 0.05). The risk of obesity, determined on the basis of %BF, was higher only in individuals sleeping ≥ 9 h. In the adjusted model, it turned out to be significant in the general study population (OR = 1.28, 95% CI: 1.07-1.53; p < 0.05) and in women (OR = 1.14, 95% CI: 1.03-1.27; p < 0.05). Conclusions: In women, a greater risk of obesity was related to a longer sleep duration (≥ 9 h), whereas in men, the tendency of obesity occurrence along with shorter sleep (≤ 6 h). Thus, the physiological consequences of sleep duration may be different in women than in men.

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“…In another paper, however, there was no relationship found between sleep duration and the risk of MetS [19]. So far, the influence of sex on shaping the association between sleep duration and metabolic profile [20][21][22][23][24] has not been found. Some tests suggest that in the case of women, sleep disorders happen more frequently due to psychological factors, in comparison with men [25][26][27], which may result in different effects resulting from inadequate sleep duration and the incidence of metabolic disorders in both sexes.…”

Section: Introductionmentioning

confidence: 97%

Sleep duration and the risk of metabolic syndrome – a cross-sectional study

Suliga¹,

Kozieł²,

Cieśla³

et al. 2017

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Introduction: It has been stated that besides the traditional elements of lifestyle such as diet and physical activity, an additional factor, namely sleep, is involved in metabolic processes, hormonal functions, and energy homeostasis. Aim of the research: To examine relationships between self-reported sleep duration and the risk of metabolic syndrome (MetS) and its components, both for men and women. Material and methods: The study involved 10,367 individuals, aged 37 to 66 years. The definition of MetS applied in this paper was developed by the International Diabetes Federation (IDF). Logistic regression was applied to assess the risk (odds ratio -OR) of MetS and its components. Results: There was no relationship observed between short sleep duration (≤ 6 h) and the risk of MetS. Long sleep duration (≥ 9 h) was connected with a higher risk of MetS only in the unadjusted model (OR = 1.11). After adjusting for confounders, a significant association was found between long sleep duration and a higher risk of abdominal obesity in the test group as a whole (OR = 1.16), as well as in the men in the group (OR = 1.22). In women, both with short (OR = 1.08) and long (OR = 1.12) sleep duration, the risk of increased concentration of glucose was found. Conclusions: Our study did not confirm the existence of an association between inadequate sleep duration and the risk of MetS, defined in accordance with IDF criteria. Sleep duration, however, is connected with some of the MetS components. It is therefore necessary to conduct further, long-term tests in this regard.

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Sleep duration, general and abdominal obesity, and weight change among the older adult population of Spain

Cited by 143 publications

References 30 publications

Sleep Duration and Weight Change in Midlife Women: The SWAN Sleep Study

Sleep Duration and Weight Change in Midlife Women: The SWAN Sleep Study

Sleep duration and the risk of obesity – a cross-sectional study

Sleep duration and the risk of metabolic syndrome – a cross-sectional study

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