Reproducibility of a Standardized Actigraphy Scoring Algorithm for Sleep in a US Hispanic/Latino Population

Patel, Sanjay R.; Weng, Jia; Rueschman, Michael; Dudley, Katherine A.; Loredo, José S.; Mossavar‐Rahmani, Yasmin; Ramirez, Maricelle; Ramos, Alberto R.; Reid, Kathryn J.; Seiger, Ashley N.; Sotres-Álvarez, Daniela; Zee, Phyllis C.; Wang, Rui

doi:10.5665/sleep.4998

Cited by 148 publications

(129 citation statements)

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“…A formalized algorithm was implemented to minimize variability in actigraphy scoring. 30 Another strength of our study is the use of the ISI, a validated and widely used tool for insomnia assessment. 35 In summary, in a large and diverse population of US Hispanics/ Latinos, the prevalence of objectively measured short sleep duration was significantly higher in unsafe neighborhoods compared to safe neighborhoods, while the prevalence of insomnia was higher in noisy neighborhoods.…”

Section: Discussionmentioning

confidence: 99%

“…30,31 The study protocols used for both the parent HCHS/SOL baseline exam and the Sueño exam were approved by the Institutional Review Boards at each of the participating sites and all participants provided written informed consent.…”

Section: Methodsmentioning

confidence: 99%

“…We used a standardized protocol using event markers, sleep diaries, and activity levels to identify rest periods where the participant was trying to sleep. 30 Sleep-wake status for each 30-second epoch was computed using the Actiware 5.59 scoring algorithm. Sleep onset was defined as 5 immobile minutes, 0 immobile minutes for sleep offset, and a wake threshold of 40 counts.…”

Section: Actigraphy Scoringmentioning

confidence: 99%

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Neighborhood Factors as Predictors of Poor Sleep in the Sueño Ancillary Study of the Hispanic Community Health Study/Study of Latinos

Simonelli

Dudley

Weng

et al. 2016

Sleep

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Study Objectives: To evaluate whether an adverse neighborhood environment has higher prevalence of poor sleep in a US Hispanic/Latino population. Methods: A cross-sectional analysis was performed in 2156 US Hispanic/Latino participants aged 18-64 years from the Sueño ancillary study of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Participants completed surveys of neighborhood environment including perceived safety, violence and noise, the Insomnia Severity Index (ISI), and 7 days of wrist actigraphy. Results: In age and sex-adjusted analyses, short sleep, low sleep efficiency, and late sleep midpoint were all more prevalent among those living in an unsafe neighborhood. After adjustment for background, site, nativity, income, employment, depressive symptoms, and sleep apnea, the absolute risk of sleeping <6 hours was 7.7 (95% CI [0.9, 14.6]) percentage points greater in those living in an unsafe compared to a safe neighborhood. There were no differences in the prevalence of insomnia by level of safety or violence. Insomnia was more prevalent among those living in a noisy neighborhood. In adjusted analysis, the absolute risk of insomnia was 4.4 (95% CI [0.4, 8.4]) percentage points greater in those living in noisy compared to non-noisy neighborhoods. Conclusion: Using validated measures of sleep duration and insomnia, we have demonstrated the existence of a higher prevalence of short sleep and insomnia by adverse neighborhood factors. An adverse neighborhood environment is an established risk factor for a variety of poor health outcomes. Our findings suggest negative effects on sleep may represent one pathway by which neighborhood environment influences health.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Actigraphy Scoringmentioning

confidence: 99%

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Neighborhood Factors as Predictors of Poor Sleep in the Sueño Ancillary Study of the Hispanic Community Health Study/Study of Latinos

Simonelli

Dudley

Weng

et al. 2016

Sleep

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“…The GT3X+ provides objective measures of activity counts as well as information on the environment via an ambient light sensor. A standardized approach was used to define TIB [25]. Missing entries on logs and inaccurate recordings of bed/awake times were estimated or adjusted, respectively, based on the hierarchical ranking of inputs (i.e.…”

Section: Sleep Restrictionmentioning

confidence: 99%

Influence of sleep restriction on weight loss outcomes associated with caloric restriction

Wang

Sparks

Bowyer

et al. 2018

Sleep

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Study Objectives: To examine the effects of moderate sleep restriction (SR) on body weight, body composition, and metabolic variables in individuals undergoing caloric restriction (CR). Methods:Overweight or obese adults were randomized to an 8 week caloric restriction (CR) regimen alone (n = 15) or combined with sleep restriction (CR + SR) (n = 21). All participants were instructed to restrict daily calorie intake to 95 per cent of their measured resting metabolic rate. Participants in the CR + SR group were also instructed to reduce time in bed on five nights and to sleep ad libitum on the other two nights each week. Results:The CR + SR group reduced sleep by 57 ± 36 min per day during SR days and increased sleep by 59 ± 38 min per day during ad libitum sleep days, resulting in a sleep reduction of 169 ± 75 min per week. The CR and CR + SR groups lost similar amounts of weight, lean mass, and fat mass. However, the proportion of total mass lost as fat was significantly greater (p = 0.016) in the CR group. This proportion was greater than body fat percentage at baseline for the CR (p = 0.0035), but not the CR + SR group. Resting respiratory quotient was reduced (p = 0.033) only in CR, and fasting leptin concentration was reduced only in CR + SR (p = 0.029).Conclusions: Approximately 1 hr of SR on five nights a week led to less proportion of fat mass loss in individuals undergoing hypocaloric weight loss, despite similar weight loss. SR may adversely affect changes in body composition and "catch-up" sleep may not completely reverse it. Clinical trial registration: ClinicalTrials.gov (NCT02413866)Key words: sleep restriction; weight loss; body composition; chronic; caloric restriction Statement of SignificancePrevious studies suggest that sleep restriction during caloric restriction adversely affects weight-loss outcomes. This study extends previous findings by examining the effects of a much longer duration of intervention (8 weeks) using a randomized controlled trial (caloric restriction alone or combined with sleep restriction). Furthermore, the sleep restriction was moderate, approximated 60 min shorter on the 5 days of restricted sleep each week. Ad libitum sleep was allowed on the other 2 days each week so that the sleep pattern mimicked real life. We found that sleep restriction resulted in less loss of fat but greater loss of lean mass among the total mass lost, despite similar weight loss between the two groups. Other metabolic changes were also observed.

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“…The setting of nightly rest intervals for analysis was guided by the event markers, light data and activity levels [35]. The night-by-night actigraphic estimates of sleep onset time (clock time of the first epoch scored as sleep in each rest interval), wake time (clock time of the last epoch scored as sleep in each rest interval), total sleep time (number of minutes scored as sleep in each rest interval) and sleep efficiency (proportion of time from sleep onset to wake in each rest interval, scored as sleep, expressed as a percentage) were extracted.…”

Section: Methodsmentioning

confidence: 99%

Sleep and circadian variability in people with delayed sleep–wake phase disorder versus healthy controls

et al. 2017

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Objective/Background To compare sleep and circadian variability in adults with delayed sleep-wake phase disorder (DSWPD) to healthy controls. Patients/Methods Forty participants (22 DSWPD, 18 healthy controls) completed a 10-day protocol, consisting of DLMO assessments on two consecutive nights, a five-day study break, followed by two more DLMO assessments. All participants were instructed to sleep within one hour of their self-reported average sleep schedule for the last four days of the study break. We analyzed the participants’ wrist actigraphy data during these four days to examine intraindividual variability in sleep timing, duration and efficiency. We also examined shifts in the DLMO from before and after the study break. Results and Conclusions Under the same conditions, people with DSWPD had significantly more variable wake times and total sleep time than healthy controls (p≤0.015). Intraindividual variability in sleep onset time and sleep efficiency was similar between the two groups (p≥0.30). The DLMO was relatively stable across the study break, with only 11% of controls but 27% of DSWPDs showed more than a one hour shift in the DLMO. Only in the DSWPD sample was greater sleep variability associated with a larger shift in the DLMO (r=0.46, p=0.03). These results suggest that intraindividual variability in sleep can be higher in DSWPD versus healthy controls, and this may impact variability in the DLMO. DSWPD patients with higher intraindividual variability in sleep are more likely to have a shifting DLMO, which could impact sleep symptoms and the optimal timing of light and/or melatonin treatment for DSWPD.

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Reproducibility of a Standardized Actigraphy Scoring Algorithm for Sleep in a US Hispanic/Latino Population

Abstract: With use of a standardized algorithm to set rest intervals, scoring of actigraphy for the purpose of generating a wide array of sleep variables is highly reproducible.

Cited by 148 publications

References 38 publications

Neighborhood Factors as Predictors of Poor Sleep in the Sueño Ancillary Study of the Hispanic Community Health Study/Study of Latinos

Neighborhood Factors as Predictors of Poor Sleep in the Sueño Ancillary Study of the Hispanic Community Health Study/Study of Latinos

Influence of sleep restriction on weight loss outcomes associated with caloric restriction

Sleep and circadian variability in people with delayed sleep–wake phase disorder versus healthy controls

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