scholarly journals Association Between Self-Reported Sleep Duration and Body Composition in Middle-Aged and Older Adults

2019 ◽  
Vol 15 (03) ◽  
pp. 431-435 ◽  
Author(s):  
Xiao Tan ◽  
Olga E. Titova ◽  
Eva Lindberg ◽  
Sölve Elmståhl ◽  
Lars Lind ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Composition ◽  
Sleep Duration ◽  
Middle Aged

scholarly journals Association between sleep duration and executive function differs between diabetic and non-diabetic middle-aged and older adults

2020 ◽  
Vol 111 ◽  
pp. 104472
Author(s):  
Olga E. Titova ◽  
Eva Lindberg ◽  
Xiao Tan ◽  
Sölve Elmståhl ◽  
Lars Lind ◽  
...  
Keyword(s):  
Older Adults ◽  
Executive Function ◽  
Sleep Duration ◽  
Middle Aged

Practical techniques for assessing body composition in middle-aged and older adults

1995 ◽  
Vol 27 (5) ◽  
pp. 776???783 ◽  
Author(s):  
DANIEL P. WILLIAMS ◽  
SCOTT B. GOING ◽  
LAURA A. MILLIKEN ◽  
MATTHEW C. HALL ◽  
TIMOTHY G. LOHMAN
Keyword(s):  
Older Adults ◽  
Body Composition ◽  
Middle Aged

Unfavorable body composition and quality of life among community-dwelling middle-aged and older adults: What really matters?

Maturitas ◽  
2020 ◽  
Vol 140 ◽  
pp. 34-40
Author(s):  
An-Chun Hwang ◽  
Wei-Ju Lee ◽  
Li-Ning Peng ◽  
Li-Kuo Liu ◽  
Ming-Hsien Lin ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Body Composition ◽  
Community Dwelling ◽  
Middle Aged

scholarly journals Validation of the Actical Activity Monitor in Middle-Aged and Older Adults

2011 ◽  
Vol 8 (3) ◽  
pp. 372-381 ◽  
Author(s):  
Steven P. Hooker ◽  
Anna Feeney ◽  
Brent Hutto ◽  
Karin A. Pfeiffer ◽  
Kerry McIver ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Composition ◽  
Activity Monitor ◽  
Moderate Intensity ◽  
Middle Aged ◽  
Activity Count ◽  
Cut Points ◽  
Cut Point ◽  
Moderate Intensity Physical Activity ◽  
Similar Accuracy

Purpose:This study was designed to validate the Actical activity monitor in middle-aged and older adults of varying body composition to develop accelerometer thresholds to distinguish between light and moderate intensity physical activity (PA).Methods:Nonobese 45 to 64 yr (N = 29), obese 45 to 64 yr (N = 21), and ≥65 yr (N = 23; varying body composition) participants completed laboratory-based sitting, household, and locomotive activities while wearing an Actical monitor and a portable metabolic measurement system. Nonlinear regression analysis was used to identify activity count (AC) cut-points to differentiate between light intensity (<3 METs) and moderate intensity (≥3METs) PA.Results:Using group-specific algorithms, AC cut points for 3 METs were 1634, 1107, and 431 for the obese 45 to 64 yr group, nonobese 45 to 64 yr group, and ≥65 yr group, respectively. However, sensitivity and specificity analysis revealed that an AC cut-point of 1065 yielded similar accuracy for detecting an activity as less than or greater than 3 METs, regardless of age and body composition.Conclusion:For the Actical activity monitor, an AC cut-point of 1065 can be used to determine light and moderate intensity PA in people ≥45 years of age.

Associations of sleep phenotypes with severe intentional self-harm: a prospective analysis of the UK Biobank cohort

SLEEP ◽  
2021 ◽  
Author(s):  
Binbin Lei ◽  
Jihui Zhang ◽  
Sijing Chen ◽  
Jie Chen ◽  
Lulu Yang ◽  
...  
Keyword(s):  
Older Adults ◽  
Mental Disorders ◽  
Sleep Duration ◽  
Uk Biobank ◽  
Middle Aged ◽  
Long Sleep ◽  
Self Harm ◽  
Future Risk ◽  
The Uk

Abstract Study objectives We aimed to investigate the prospective associations of sleep phenotypes with severe intentional self-harm (ISH) in middle-aged and older adults. Methods A total of 499,159 participants (mean age: 56.55 ± 8.09 years; female: 54.4%) were recruited from the UK Biobank between 2006 and 2010 with follow-up until February 2016 in this population-based prospective study. Severe ISH was based on hospital inpatient records or a death cause of ICD-10 codes X60-X84. Patients with hospitalized diagnosis of severe ISH before the initial assessment were excluded. Sleep phenotypes, including sleep duration, chronotype, insomnia, sleepiness, and napping, were assessed at the initial assessments. Cox regression analysis was used to estimate temporal associations between sleep phenotypes and future risk of severe ISH. Results During a follow-up period of 7.04 years (SD: 0.88), 1,219 participants experienced the first hospitalization or death related to severe ISH. After adjusting for demographics, substance use, medical diseases, mental disorders, and other sleep phenotypes, short sleep duration (HR: 1.50, 95% CI: 1.23-1.83, P &lt; .001), long sleep duration (HR: 1.56, 95% CI: 1.15-2.12, P = .004), and insomnia (usually: HR: 1.57, 95% CI: 1.31-1.89, P &lt; .001) were significantly associated with severe ISH. Sensitivity analyses excluding participants with mental disorders preceding severe ISH yielded similar results. Conclusion The current study provides the empirical evidence of the independent prediction of sleep phenotypes, mainly insomnia, short and long sleep duration, for the future risk of severe ISH among middle-aged and older adults.

scholarly journals 672 COVID-19 Anxiety and Sleep in Middle-aged and Older Adults: Impact of Age and Sex

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A262-A263
Author(s):  
Sadhika Jagannathan ◽  
Mikayla Rodgers ◽  
Christina S McCrae ◽  
Mary Beth Miller ◽  
Ashley Curtis
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Sleep Duration ◽  
The United States ◽  
Sleep Efficiency ◽  
Middle Aged ◽  
Age Related ◽  
Aging Populations ◽  
Middle Aged Adults ◽  
Age And Sex

Abstract Introduction COVID-19 is an infectious respiratory illness that was declared a pandemic in March 2020. During the course of COVID-19, studies have demonstrated worsening sleep quality and anxiety. No studies have examined age-related and sex-specific associations between COVID-19 anxiety and sleep in aging populations. We examined associations between COVID-19 anxiety and sleep, and evaluated age and sex as moderators, in middle-aged/older adults. Methods Two hundred and seventy-seven middle-aged/older adults aged 50+ (Mage=64.68, SD=7.83; 44% women) living in the United States who were cognitively healthy (no cognitive impairment/dementia/neurological disorders) completed an online Qualtrics survey in July/August 2020 measuring sleep (Pittsburgh Sleep Quality Index; PSQI) and COVID-19 anxiety (Coronavirus Anxiety Scale; CAS). Multiple regressions examined whether CAS was independently associated with or interacted with age or sex in its associations with PSQI total score/subscores (sleep quality, sleep duration, sleep efficiency, daytime dysfunction), controlling for age, education, number of medical conditions, sleep/pain medication use, and COVID-19 status. Results CAS interacted with age (B=-.008, SE=.003 p=.02, R-squared=.02), not sex (p=.31), in its association with sleep duration. Higher CAS was associated with shorter sleep duration in oldest-older adults (~73 years old; B=.12, SE=.05, p=.01) and younger-older adults (~65 years old; B=.07, SE=.03, p=.02), not middle-aged adults (~57 years old, p=.47). CAS interacted with age (B=.01, SE=.004, p=.02), not sex (p=.56), in its association with sleep efficiency. Higher CAS was associated with worse sleep efficiency in oldest-older adults (B=.14, SE=.05, p=.009) and younger-older adults (B=.08, SE=.04, p=.03), not middle-aged adults (p=.60). Higher CAS was associated with greater daytime dysfunction (B=.26, SE=.07, p&lt;.001) and higher PSQI total score (B=.82, SE=.33, p=.01), and did not interact with age or sex (ps&gt;.05). Conclusion Increased COVID-19 anxiety is associated with several aspects of worse sleep (shorter sleep duration, sleep efficiency) in older adults but not middle-aged adults. Generally, in middle-aged/older adults, higher COVID-19 anxiety is associated with worse daytime dysfunction and overall sleep quality. Sex does not moderate these associations. Increased COVID-19 morbidity and mortality in aging populations may translate to increased anxiety and subsequent sleep disruptions. Interventions aimed at mitigating negative pandemic-related psychological and sleep outcomes may be particularly relevant for older adults. Support (if any):

scholarly journals Association of Sleep Duration and Insomnia Symptoms with Components of Metabolic Syndrome and Inflammation in Middle-Aged and Older Adults with Metabolic Syndrome in Taiwan

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1848 ◽  
Author(s):  
Ahmad Syauqy ◽  
Chien-Yeh Hsu ◽  
Hsiao-Hsien Rau ◽  
Adi Lukas Kurniawan ◽  
Jane C-J Chao
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Sleep Duration ◽  
Fasting Blood Glucose ◽  
International Diabetes Federation ◽  
Density Lipoprotein ◽  
Middle Aged ◽  
Cross Sectional ◽  
Long Sleep ◽  
Insomnia Symptoms

The study determined the association of sleep duration and insomnia symptoms with the components of metabolic syndrome and inflammation in middle-aged and older adults with metabolic syndrome in Taiwan. This cross-sectional study used the database compiled in Taiwan between 2004–2013. A total of 26,016 volunteers aged 35 years and above were selected. Metabolic syndrome was defined according to the International Diabetes Federation. Compared with regular sleep duration (6–8 h/day), short (<6 h/day) or long sleep duration (>8 h/day) and insomnia symptoms significantly increased the odds ratios of high waist circumference, high blood pressure, low high-density lipoprotein-cholesterol, high triglycerides, high fasting blood glucose, and high C-reactive protein. Insomnia symptoms did not modify the effects of sleep duration on the components of metabolic syndrome and inflammation. Our study suggests that short or long sleep duration and insomnia symptoms may have an adverse effect on metabolic syndrome and inflammation.

scholarly journals 0682 Self-reported Sleep Duration And Fat-free Mass In Middle Aged And Older Adults

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A273-A273
Author(s):  
Xiao Tan ◽  
Christian Benedict
Keyword(s):  
Older Adults ◽  
Sleep Duration ◽  
Fat Free Mass ◽  
Middle Aged
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