Dataset Information

Accelerometer-Measured Sleep Duration and Clinical Cardiovascular Risk Factor Scores in Older Women.

ABSTRACT: BACKGROUND:Evidence suggests that short and long sleep durations are potential lifestyle factors associated with cardiovascular disease (CVD). Research on sleep duration and CVD risk is limited by use of self-report sleep measures, homogeneous populations, and studies on individual CVD risk factors. For women, risk of CVD and inadequate sleep duration increases with age. We hypothesized that accelerometer-measured sleep duration was associated with 10-year predicted probability of future CVD risk in a cohort of aging women. METHODS:This cross-sectional analysis included 3,367 older women (mean age 78.9 years; 53.3% White), from the Objective Physical Activity and Cardiovascular Health Study, ancillary study to the Women's Health Initiative. Women wore ActiGraph GT3X+ accelerometers on the hip for 24 hours/7 days. A 10-year predicted probability of future CVD risk, the Reynolds Risk Score (RRS), was computed using age, systolic blood pressure, high-sensitivity C-reactive protein (CRP), total and HDL cholesterol, diabetes mellitus status, smoking status, and family history of CVD. Average nightly sleep duration was derived from accelerometer data. Adjusted linear regression models investigated the association between sleep duration and RRS. RESULTS:Results suggested a U-shaped relationship between sleep duration and RRS, with both short and long sleep associated with higher RRS (p < .001). The association remained significant after adjustments for race/ethnicity, education, lifestyle factors, and health status indicators. CONCLUSION:In older women, actigraphy-ascertained sleep duration was associated with a 10-year predicted probability of future CVD risk. This study supports sleep duration as a modifiable risk factor for CVD in older women.

SUBMITTER: Full KM

PROVIDER: S-EPMC7494034 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Accelerometer-Measured Sleep Duration and Clinical Cardiovascular Risk Factor Scores in Older Women.

Full Kelsie M KM Malhotra Atul A Gallo Linda C LC Kerr Jacqueline J Arredondo Elva M EM Natarajan Loki L LaMonte Michael J MJ Stefanick Marcia L ML Stone Katie L KL LaCroix Andrea Z AZ

The journals of gerontology. Series A, Biological sciences and medical sciences 20200901 9

<h4>Background</h4>Evidence suggests that short and long sleep durations are potential lifestyle factors associated with cardiovascular disease (CVD). Research on sleep duration and CVD risk is limited by use of self-report sleep measures, homogeneous populations, and studies on individual CVD risk factors. For women, risk of CVD and inadequate sleep duration increases with age. We hypothesized that accelerometer-measured sleep duration was associated with 10-year predicted probability of future ...[more]

PMID: 31504216

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Project description:BackgroundHospital-acquired disability (HAD) is common and often related to low physical activity while in the hospital.ObjectiveTo examine whether wearable hospital activity trackers can be used to predict HAD.DesignA prospective observational study between January 2016 and March 2017.SettingAn academic medical center.ParticipantsCommunity-dwelling older adults, aged 60?years or older, enrolled within 24?hours of admission to general medicine (n = 46).Main measuresPrimary outcome was HAD, defined as having one or more new activity of daily living deficits, decline of four or greater on the Late-Life Function and Disability Instrument (calculated between baseline and discharge), or discharge to a skilled nursing facility. Hospital activity (mean active time, mean sedentary time, and mean step counts per day) was measured using ankle-mounted accelerometers. The association of the literature-based threshold of 900 steps/day with HAD was also evaluated.ResultsMean age was 73.2?years (SD = 9.5?years), 48% were male, and 76% were white. Median length of stay was 4?days (interquartile range [IQR] =?2.0-6.0?days); 61% (n = 28) reported being able to walk without assistance of another person or walking aid at baseline. Median daily activity time and step counts were 1.1 h/d (IQR = 0.7-1.7 h/d) and 1455.7 steps/day (IQR = 908.5-2643 steps/day), respectively. Those with HAD (41%; n = 19) had lower activity time (0.8 vs 1.4 h/d; P = .04) and fewer step counts (1186 vs 1808 steps/day; P = .04), but no difference in sedentary time, compared to those without HAD. The 900 steps/day threshold had poor sensitivity (40%) and high specificity (85%) for detecting HAD.ConclusionsLow hospital physical activity, as measured by wearable accelerometers, is associated with HAD. Clinicians can utilize wearable technology data to refer patients to physical/occupational therapy services or other mobility interventions, like walking programs. J Am Geriatr Soc 68:261-265, 2020.

Project description:OBJECTIVES:To prospectively examine associations between accelerometer-measured physical activity (PA) and mortality in older women, with an emphasis on light-intensity PA. DESIGN:Prospective cohort study with baseline data collection between March 2012 and April 2014. SETTING:Women's Health Initiative cohort in the United States. PARTICIPANTS:Community-dwelling women aged 63 to 99 (N = 6,382). MEASUREMENTS:Minutes per day of usual PA measured using hip-worn triaxial accelerometers, physical functioning measured using the Short Physical Performance Battery, mortality follow-up for a mean 3.1 years through September 2016 (450 deaths). RESULTS:When adjusted for accelerometer wear time, age, race-ethnicity, education, smoking, alcohol, self-rated health, and comorbidities, relative risks (95% confidence intervals) for all-cause mortality across PA tertiles were 1.00 (referent), 0.86 (0.69, 1.08), 0.80 (0.62, 1.03) trend P = .07, for low light; 1.00, 0.57 (0.45, 0.71), 0.47 (0.35, 0.61) trend P < .001, for high light; and, 1.00, 0.63 (0.50, 0.79), 0.42 (0.30, 0.57) trend P < .001, for moderate-to-vigorous PA (MVPA). Associations remained significant for high light-intensity PA and MVPA (P < .001) after further adjustment for physical function. Each 30-min/d increment in light-intensity (low and high combined) PA and MVPA was associated, on average, with multivariable relative risk reductions of 12% and 39%, respectively (P < .01). After further simultaneous adjusting for light intensity and MVPA, the inverse associations remained significant (light-intensity PA: RR = 0.93, 95% CI = 0.89-0.97; MVPA: RR = 0.67, 95% CI = 0.58-0.78). These relative risks did not differ between subgroups for age or race and ethnicity (interaction, P ? .14, all). CONCLUSION:When measured using accelerometers, light-intensity and MVPA are associated with lower mortality in older women. These findings suggest that replacing sedentary time with light-intensity PA is a public health strategy that could benefit an aging society and warrants further investigation.

Dataset Information

Accelerometer-Measured Sleep Duration and Clinical Cardiovascular Risk Factor Scores in Older Women.

Publications

Accelerometer-Measured Sleep Duration and Clinical Cardiovascular Risk Factor Scores in Older Women.

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