Factors Influencing Sleep Quality and Effects of Sleep on Hypertension

Mirjat, Ali Asghar; Mirjat, Ali Akbar; Naveed, Muhammad; Majeed, Fatima; Shen, Chong

doi:10.1007/s41782-020-00094-5

Cited by 5 publications

(3 citation statements)

References 131 publications

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“…When considering day-to-day changes in movement behaviours, each is intrinsically linked, whereby changes in one behaviour result in equal and opposite changes across the remaining behaviours [6]. The time allocated to each behaviour in a 24-h day is influenced by both internal factors such as motivation, fatigue, and physical health, and external factors, including work or family commitments, physical environment, resource availability and the weather [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Weather associations with physical activity, sedentary behaviour and sleep patterns of Australian adults: a longitudinal study with implications for climate change

Ferguson

Curtis

Fraysse

et al. 2023

Int J Behav Nutr Phys Act

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Background Weather is a potentially important influence on how time is allocated to sleep, sedentary behaviour and physical activity across the 24-h day. Extremes of weather (very hot, cold, windy or wet) can create undesirable, unsafe outdoor environments for exercise or active transport, impact the comfort of sleeping environments, and increase time indoors. This 13-month prospective cohort study explored associations between weather and 24-h movement behaviour patterns. Methods Three hundred sixty-eight adults (mean age 40.2 years, SD 5.9, 56.8% female) from Adelaide, Australia, wore Fitbit Charge 3 activity trackers 24 h a day for 13 months with minute-by-minute data on sleep, sedentary behaviour, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) collected remotely. Daily weather data included temperature, rainfall, wind, cloud and sunshine. Multi-level mixed-effects linear regression analyses (one model per outcome) were used. Results Ninety thousand eight hundred one days of data were analysed. Sleep was negatively associated with minimum temperature (-12 min/day change across minimum temperature range of 31.2 °C, p = 0.001). Sedentary behaviour was positively associated with minimum temperature (+ 12 min/day, range = 31.2 oC, p = 0.006) and wind speed (+ 10 min/day, range = 36.7 km/h, p< 0.001), and negatively associated with sunshine (-17 min/day, range = 13.9 h, p < 0.001). LPA was positively associated with minimum temperature (+ 11 min/day, range = 31.2 °C, p = 0.002), cloud cover (+ 4 min/day, range = 8 eighths, p = 0.008) and sunshine (+ 17 min/day, range = 13.9 h, p < 0.001), and negatively associated with wind speed (-8 min/day, range = 36.7 km/h, p < 0.001). MVPA was positively associated with sunshine (+ 3 min/day, range = 13.9 h, p < 0.001) and negatively associated with minimum temperature (-13 min/day, range = 31.2 oC, p < 0.001), rainfall (-3 min/day, range = 33.2 mm, p = 0.006) and wind speed (-4 min/day, range = 36.7 km/h, p < 0.001). For maximum temperature, a significant (p < 0.05) curvilinear association was observed with sleep (half-U) and physical activity (inverted-U), where the decrease in sleep duration appeared to slow around 23 °C, LPA peaked at 31 oC and MVPA at 27 °C. Conclusions Generally, adults tended to be less active and more sedentary during extremes of weather and sleep less as temperatures rise. These findings have the potential to inform the timing and content of positive movement behaviour messaging and interventions. Trial registration The study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).

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Section: Introductionmentioning

confidence: 99%

Weather associations with physical activity, sedentary behaviour and sleep patterns of Australian adults: a longitudinal study with implications for climate change

Ferguson

Curtis

Fraysse

et al. 2023

Int J Behav Nutr Phys Act

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“…Adding to the confusion, more sleep disorders, shorter sleep duration, and poorer sleep quality are likely to the complaint of OA, and have been demonstrated to be a risk of HTN. For example, hypertension risk might be increased by sleep disorders, especially sleep deprivation 15 and inappropriate sleep duration 16 , while some studies suggested that sleep disturbance might increase the occurrence of OA 17 , 18 , as does the finding might be associated with HTN 19 . On the contrary, another study pointed that the presence of chronic OA has the potential to increase the risk for incurring sleep disturbances 20 .…”

Section: Introductionmentioning

confidence: 99%

The multimorbidity of hypertension and osteoarthritis and relation with sleep quality and hyperlipemia/hyperglycemia in China’s rural population

Chen

Zhang

et al. 2021

Sci Rep

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Hypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.

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“…However, the literature is significantly less clear on the various factors that influence sleep quality. Some physiological factors, like medical conditions that result in chronic pain or bodily discomfort or changes in the body and brain, external environmental factors like loud sounds and bright lights, and even ingested contents like food, drink and medication have been widely-researched [5], [7], [8]. The impact of body and mind states on sleep quality fails to secure significant scholarly interest.…”

Section: Introductionmentioning

confidence: 99%

Analysis on the Relationship Between Different Body and Mind States and Sleep Quality

Ma¹

2021

Advances in Social Science, Education and Humanities Research

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The definition of sleep quality is not consistent, but several indicators, including sleep efficiency, the total wake time, total sleep time, the latency of sleep onset, the degree of fragmentation, and even sleep disruptive events have been used to measure it. However, while the physiological aspects of sleep quality on the human body have received much scholarly interest, there is lesser interest into the emotive factors that influence sleep quality. This research reviews the effects of stress, tiredness and relaxation on sleep quality, and in doing so, hopes to rekindle research interest into this area of research. According to the research results, stress and fatigue or tiredness both have an adverse cyclic relationship with sleep quality However, relaxation has the complete opposite impact on sleep quality as stress, as these two are naturally antagonistic body responses. There are many explainations on these phenomena. However, it still requires the researchers to do further research on this area. Regardless, additional research is required that explores further than correlative relationships between sleep quality and influencing factors using subjective data.

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Factors Influencing Sleep Quality and Effects of Sleep on Hypertension

Cited by 5 publications

References 131 publications

Weather associations with physical activity, sedentary behaviour and sleep patterns of Australian adults: a longitudinal study with implications for climate change

Weather associations with physical activity, sedentary behaviour and sleep patterns of Australian adults: a longitudinal study with implications for climate change

The multimorbidity of hypertension and osteoarthritis and relation with sleep quality and hyperlipemia/hyperglycemia in China’s rural population

Analysis on the Relationship Between Different Body and Mind States and Sleep Quality

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