Environmental Noise and Sleep Disturbance: Night-to-Night Variability of Sleep/Wake Pattern

Chung, Seockhoon; Youn, Soyoung; Lee, Chul; Jo, Min‐Woo; Park, Jangho; Jo, Seong Woo; Lee, Jiho; Sung, Joo Hyun; Sim, Chang Sun

doi:10.17241/smr.2016.00122

Cited by 18 publications

(11 citation statements)

References 13 publications

(14 reference statements)

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“…Vector Magnitude (VM)-and Ambulationdefined physical activity variables were defined as counts/ day and counts/minute, and steps/day and steps/minute, respectively [27]. Sleep indices included Total Sleep Time (TST), Sleep Efficiency (SE), Wake After Sleep Onset (WASO) and Sleep Fragmentation Index (SFI) [28][29][30].…”

Section: Accelerometer Data Collection and Data Reductionmentioning

confidence: 99%

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting

2020

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Objectives: To investigate the descriptive nature of objectively-measured, free-living sleep quantity and quality, and the relationship to adiposity, in a rural African setting in 145 adults (≥ 40 years, female: n = 104, male: n = 41). Wristmounted, triaxial accelerometry data was collected over 9 days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Adiposity indices were body-mass-index, waist circumference and conicity index. Self-reported data included behavioural, health and socio-demographic variables. Community consultation followed the quantitative data analyses, for validation and interpretation of findings. Results: Females had more nocturnal sleep than males (7.2 vs. 6.8 h/night, p = 0.0464) while males recorded more diurnal sleep time (p = 0.0290). Wake after sleep onset and number of awakenings were higher in females, and sleep efficiency was higher in males (p ≤ 0.0225). Sleep indices were generally similar between weekdays and weekends, except for sleep fragmentation index (p = 0.0458). Sleep quantity, but not sleep quality was independently and inversely associated with adiposity (p = 0.0453). Physical activity and morbidity measures were significantly and consistently associated with sleep and adiposity measures (p < 0.0458). The preliminary qualitative data suggests that future studies should include more detailed data around contextual issues of sleep (social, cultural, economic, environment).

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Section: Accelerometer Data Collection and Data Reductionmentioning

confidence: 99%

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting

2020

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“…Vector Magnitude (VM)-and Ambulation-de ned PA variables were de ned as counts/day and steps/day, respectively [19]. Sleep indices included Total Sleep Time (TST), Nocturnal Sleep Time (NST), Sleep E ciency (SE), Wake After Sleep Onset (WASO), Activity Counts during sleep (AC), and Sleep Fragmentation Index (SFI) [20][21][22]. Nocturnal periods were de ned as 18h01-05h59.…”

Section: Accelerometer Data Collection and Data Reductionmentioning

confidence: 99%

Association between cardiometabolic health and objectively-measured, free-living sleep parameters in a rural African setting: a pilot study.

Cook

Mohlabe

Makgopa

2020

Preprint

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Objectives To investigate the relationship between objectively-measured, free-living sleep quantity and quality, and cardiometabolic health, in a rural African setting in 139 adults (≥40 years, female: n=99, male: n=40). Wrist-mounted, tri-axial accelerometry data was collected over nine days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Self-reported data included behavioural, health and socio-demographic variables. Biological data included body composition, resting blood pressure and fasting blood glucose, insulin and lipids. Logistic regression models were constructed with insulin resistance (IR) and Cardiometabolic (CM) risk, as dependent variables, adjusting for socio-demographic, behavioural and biological factors. Results Nocturnal sleep time was longer in females (p=0.054) and sleep quality was better in males (p≤0.017). Few participants slept >9 hours/night (4-5%), and 46-50% slept <7 hours/night. IR and CM risk was higher in females (p≤0.006). In adjusted models, sleep variables were independently associated with IR (p<0.05). Sleep quantity was non-linearly associated with CM risk (p≤0.0398), and linearly associated with IR (p≤0.0444). Sleep quality was linearly related with CM risk and IR (p≤0.0201). In several models, sleep quantity and sleep quality measures were concurrently and significantly associated with IR (p≤0.044).

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“…Vector Magnitude (VM)-and Ambulation-defined physical activity variables were defined as counts/day and counts/minute, and steps/day and steps/minute, respectively [26]. Sleep indices included Total Sleep Time (TST), Sleep Efficiency (SE), Wake After Sleep Onset (WASO) and Sleep Fragmentation Index (SFI) [27][28][29].…”

Section: Accelerometer Data Collection and Data Reductionmentioning

confidence: 99%

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

Cook

Mohlabe

Alberts

2020

Preprint

View full text Add to dashboard Cite

Abstract Objectives To investigate the descriptive nature of objectively-measured, free-living sleep quantity and quality, and the relationship to adiposity, in a rural African setting in 145 adults (≥40 years, female: n=104, male: n=41). Wrist-mounted, tri-axial accelerometry data was collected over nine days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. From stature, body mass and waist circumference, body-mass-index and conicity index were calculated. Self-reported data included behavioural, health and socio-demographic variables. Community consultation followed the quantitative data analyses, for validation and interpretation of findings. Results Females had more nocturnal sleep than males (7.2 vs. 6.8 hours/night, p=0.0464) while males recorded more diurnal sleep time (p=0.0290). Wake after sleep onset and number of awakenings were higher in females, and sleep efficiency was higher in males (p≤0.0225). Sleep indices were generally similar between weekdays and weekends, except for sleep fragmentation index (p=0.0458). Sleep quantity, but not sleep quality was independently and inversely associated with adiposity (p=0.0453). Physical activity and morbidity measures were significantly and consistently associated with sleep and adiposity measures (p<0.0458). The qualitative data explained some of the unexpected associational directions of the independent variables correlated with sleep variables.

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Environmental Noise and Sleep Disturbance: Night-to-Night Variability of Sleep/Wake Pattern

Cited by 18 publications

References 13 publications

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting

Association between cardiometabolic health and objectively-measured, free-living sleep parameters in a rural African setting: a pilot study.

Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

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