Poor sleep quality and later sleep timing are risk factors for osteopenia and sarcopenia in middle-aged men and women: The NEO study

Lucassen, Eliane A.; Mutsert, Renée de; Cessie, Saskia le; Appelman‐Dijkstra, Natasha M.; Rosendaal, Frits R.; Heemst, Diana van; Heijer, Martin den; Biermasz, Nienke R.

doi:10.1371/journal.pone.0176685

Cited by 87 publications

(84 citation statements)

References 52 publications

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“…Another study including community‐dwelling very old adults (>80 years) and applying actigraphy measures found that higher bedtime variability (a measure of sleep pattern variation) was independently related to reduced lean mass and increased fat mass . Circadian rhythm disruptions are increasingly frequent with aging and can impact body composition negatively .…”

Section: Discussionmentioning

confidence: 96%

“…Likewise, other sleep‐related measures have been isolatedly associated with either obesity or sarcopenia in middle‐aged and older adults . However, no study has evaluated the associations of sleep with obesity and/or sarcopenia using simultaneously different sleep assessment methods and including polysomnography (PSG), the gold‐standard test for the diagnosis of OSA.…”

Section: Introductionmentioning

confidence: 99%

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Associations between sleep conditions and body composition states: results of the EPISONO study

Piovezan

Hirotsu

Moizinho

et al. 2019

J cachexia sarcopenia muscle

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Background Evidence suggests anthropometric indicators of obesity are associated with changes in sleep quality and quantity, and the presence of obstructive sleep apnoea (OSA). Investigations including diverse and objective evaluations of sleep and body composition are scarce. We aimed to evaluate the associations between indicators of sleep impairment and body composition states in a sample from a population‐based study. Methods Participants of the first follow‐up of the EPISONO (São Paulo, Brazil) >50 years were cross‐sectionally evaluated. Sleep was assessed through questionnaires, actigraphy, and polysomnography. Body composition was evaluated by bioelectrical impedance analysis. Appendicular skeletal muscle mass adjusted for body mass index defined sarcopenia (men <0.789 and women <0.512). Total body fat defined obesity (men >30% and women >40%). The overlap between both conditions defined sarcopenic obesity (SO). Final results were obtained by multinomial logistic regression analysis. Results Three hundred fifty‐nine adults [mean (standard deviation) age, 61 (8.8) years; 212 (59.1%) female] were enrolled. Obesity was detected in 22.6% of the sample, sarcopenia in 5.6%, and SO in 16.2%. After controlling for covariates, OSA was associated with SO [odds ratio = 3.14, 95% confidence interval (CI) = 1.49–6.61]. Additionally, nocturnal hypoxaemia was associated with both obesity (adjusted odds ratio = 2.59, 95% CI = 1.49–4.49) and SO (odds ratio = 2.92, 95% CI = 1.39–6.13). Other indicators of poor sleep/sleep disorders were not associated with body composition states. Conclusions Sarcopenic obesity but not obesity alone was associated with OSA. Both obesity and SO but not sarcopenia were associated with nocturnal hypoxaemia. The findings suggest a complex pathophysiologic relationship between adverse body composition states and OSA. Upcoming research on risk factors and therapeutic interventions for OSA should target synchronically the lean and adipose body tissues.

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Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Associations between sleep conditions and body composition states: results of the EPISONO study

Piovezan

Hirotsu

Moizinho

et al. 2019

J cachexia sarcopenia muscle

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“…With sleep disorder as the dependent variable and sarcopenia as the explanatory variable, we calculated the adjusted odds ratio for sarcopenia with regard to sleep disorder using the logistic regression analysis. On clinical diagnosis, variables to be adjusted were age, BMI, HbA1c level, smoking, alcohol consumption, number of comorbidities (hypertension, dyslipidemia, diabetic retinopathy, diabetic neuropathy, diabetic nephropathy and cardiovascular disease), depression, cognitive impairment and living alone, according to previous studies . The significance level (two‐tailed) was <0.05, and we used Stata version 12.0 (StataCorp, College Station, TX, USA) for the analysis.…”

Section: Methodsmentioning

confidence: 99%

“…A study that targeted older individuals living in an area reported an association between sarcopenia and sleep disorder . However, to the best of our knowledge, there is no study on the association between sarcopenia and sleep disorders in older patients with diabetes using SARC‐F‐J.…”

Section: Introductionmentioning

confidence: 99%

“…6 A study that targeted older individuals living in an area reported an association between sarcopenia and sleep disorder. 3,11,12 However, to the best of our knowledge, there is no study on the association between sarcopenia and sleep disorders in older patients with diabetes using SARC-F-J. Therefore, we aimed to evaluate this association in older patients with diabetes using SARC-F-J and carry out cross-sectional examinations.…”

Section: Introductionmentioning

confidence: 99%

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Association between sarcopenia and sleep disorder in older patients with diabetes

Ida

Kaneko

Nagata

et al. 2019

Geriatrics Gerontology Int

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Aim In the present study, we aimed to examine the association between sarcopenia and sleep disorder in older patients with diabetes using the Japanese version of SARC‐F (SARC‐F‐J). Methods Outpatients with diabetes (aged ≥65 years) at the Ise Red Cross Hospital were included in the present study. We used the Japanese version of the Pittsburgh Sleep Quality Index, which is a self‐administered questionnaire, to measure sleep disorder. To evaluate sarcopenia, we used SARC‐F‐J, a self‐administered questionnaire, comprising five items. For multiple logistic regression analysis, the dependent variable was sleep disorder and the explanatory variable was sarcopenia, and these were used for calculating the odds ratios of sarcopenia with regard to sleep disorder. Results In total, 318 patients were included in this study (189 men and 129 women). The prevalence of sarcopenia was 22.5% and that of sleep disorder was 44.8%. Adjusted odds ratios of sarcopenia and sleep disorder were 6.04 in men (95% CI 1.71–21.36, P = 0.005) and 6.33 in women (95% CI 1.91–20.97, P = 0.003). Conclusions We found a statistically significant association between sarcopenia and sleep disorder in older patients with diabetes using SARC‐F‐J. Therefore, older patients with diabetes should be cautioned regarding sleep disorder if they are diagnosed with sarcopenia. Geriatr Gerontol Int 2019; 19: 399–403.

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The Association between Sleep and Bone Mineral Density: Cross‐Sectional Study Using Health Check‐up Data in a Local Hospital in Japan

Yamaura,

Kasahara,

Iimuro

et al. 2023

JBMR Plus

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This study aimed to investigate the association between daily sleep duration of <7 hours and lower bone mineral density (BMD) using data from annual health check‐ups conducted in Japan between 2020 and 2022. Multivariate regression models were used, where BMD was the objective variable and daily sleep duration (<5 hours, 5 to <7 hours, 7 to <9 hours [reference], ≥9 hours) was the exposure variable adjusted for age, body mass index, physical activity, smoking status, and alcohol intake for men and women and further adjusted for menopausal status for women. The association between insomnia and BMD was also investigated. BMD was determined using calcaneal quantitative ultrasound and expressed as a percentage of the young adult mean (%YAM). In total, 896 men and 821 women were included. Median age was 54 years (interquartile range [IQR]: 46 to 64) for men and 55 years (IQR: 46 to 64) for women). Median BMD for men and women was 79%YAM (IQR: 71 to 89) and 75%YAM (IQR: 68 to 84), respectively. Approximately 80% of men and women slept <7 hours daily. Multivariate regression showed no association between sleep duration and BMD in men. However, women who slept 5 to <7 hours daily had significantly higher BMD by 3.9% compared with those who slept 7 to<9 hours (p = 0.004). No association between insomnia and BMD was found. Overall, a daily sleep duration of <7 hours was not independently associated with lower BMD compared to those who slept 7 to <9 hours in men and women. However, as there is evidence of both shorter and longer sleep durations being associated with an increased risk of adverse events, including cardiovascular events, our result needs to be interpreted with caution. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

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Poor sleep quality and later sleep timing are risk factors for osteopenia and sarcopenia in middle-aged men and women: The NEO study

Cited by 87 publications

References 52 publications

Associations between sleep conditions and body composition states: results of the EPISONO study

Associations between sleep conditions and body composition states: results of the EPISONO study

Association between sarcopenia and sleep disorder in older patients with diabetes

The Association between Sleep and Bone Mineral Density: Cross‐Sectional Study Using Health Check‐up Data in a Local Hospital in Japan

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