scholarly journals The Relationship Between Physical Activity and Sleep Status Among Iranian Older Adults: A Cross-Sectional Study

Author(s):  
Samaneh Aliabadi ◽  
Fatemeh Zarghami ◽  
Akram Farhadi ◽  
Farshad Sharifi ◽  
Mitra Moodi

Abstract Background: Sleep disorders have a significant impact on physical and mental health among aged population. This study was aimed to determine the relationship between different levels of physical activity (PA) and domains of sleep status in aged population in Birjand, Iran.Methods: This descriptive-analytical study was performed on 1740 individuals ≥60 years in urban and rural regions of Birjand. Longitudinal Ageing Study Amsterdam Physical Activity Questionnaire (LAPAQ), a sociodemographic and a sleep status questionnaire were used to collect data. Analyses of variance (ANOVA), univariate, multiple linear and logistic regressions were used to analyze the data. Results: The mean age of the participants was 69.73±7.56 years. About 54.08% of participants had low PA. People with moderate to high PA had higher sleep quality, sleep satisfaction and sleep efficiency compared to inactive people (p<0.05); but PA was significantly inversely related to sleep duration. According to univariate linear regression model, both low and moderate to high PA were good predictors of sleep quality, sleep efficiency. Moderate to high PA predicted high sleep satisfaction and sleep duration in the participants (p<0.05). Conclusions: Physical activity, particularly at moderate to high levels, results in higher quality, satisfaction and efficiency of sleep in the elderly. The most influential factor on the relationship between PA and sleep is depressed mood. Therefore, in using the PA to improve sleep status of the elderly it is recommended to also focus on reducing the depression.

2021 ◽  
Vol 11 (5) ◽  
pp. 664
Author(s):  
Lin Li ◽  
Qian Yu ◽  
Wenrui Zhao ◽  
Fabian Herold ◽  
Boris Cheval ◽  
...  

Objectives: the current study aimed to investigate the relationship between physical activity (PA) level and inhibitory control performance and then to determine whether this association was mediated by multiple sleep parameters (i.e., subjective sleep quality, sleep duration, sleep efficiency, and sleep disturbance). Methods: 180 healthy university students (age: 20.15 ± 1.92 years) from the East China Normal University were recruited for the present study. PA level, sleep parameters, and inhibitory control performance were assessed using the International Physical Activity Questionnaire (IPAQ), the Pittsburgh Sleep Quality Index Scale (PSQI), and a Stroop test, respectively. The data were analyzed using structural equation modeling. Results: A higher level of PA was linked to better cognitive performance. Furthermore, higher subjective sleep quality and sleep efficiency were associated with better inhibitory control performance. The mediation analysis revealed that subjective sleep quality and sleep efficiency mediated the relationship between PA level and inhibitory control performance. Conclusion: our results are in accordance with the literature and buttress the idea that a healthy lifestyle that involves a relatively high level of regular PA and adequate sleep patterns is beneficial for cognition (e.g., inhibitory control performance). Furthermore, our study adds to the literature that sleep quality and sleep efficiency mediates the relationship between PA and inhibitory control performance, expanding our knowledge in the field of exercise cognition.


2021 ◽  
Author(s):  
Bradley M Ritland ◽  
Jacob A Naylor ◽  
Alexxa F Bessey ◽  
Tina M Burke ◽  
Julie M Hughes ◽  
...  

ABSTRACT Introduction Musculoskeletal injuries and insufficient sleep are common among U.S. Army Rangers. There has been limited research into whether indices of sleep differ between injured and uninjured Rangers. The purpose of this study was to investigate the association between self-reported sleep and musculoskeletal injury in Rangers. Materials and Methods A total of 82 Army Rangers (male, 25.4 ± 4.0 years) were asked if they currently have any musculoskeletal injuries; completed the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), and the Stanford Sleepiness Scale; and were asked about their average sleep quality/sleep duration over the preceding week. Rangers were then dichotomized into groups, one that reported a current musculoskeletal injury and another that did not. Results The reported musculoskeletal injury prevalence was 15.9% (n = 13). The Rangers that reported an injury, compared to those that did not, had a significantly higher Global PSQI score (6.7 ± 3.7 versus 4.5 ± 2.7, P = .012) and ISI score (10.9 ± 3.7 versus 7.2 ± 4.1, P = .003), both indicative of poorer sleep. The group reporting an injury rated their average sleep quality over the preceding week significantly lower compared to those that did not report an injury (50.8 ± 17.5 versus 68.9 ± 18.3, P = .001). There was no significant group difference in the average nightly sleep duration (6.1 ± 1.0 hours versus 6.5 ± 0.9 hours, P = .099). Conclusion In this cohort of male Army Rangers, In this cohort of male Army Rangers, those with a musculoskeletal injury reported poorer sleep quality than uninjured Rangers. Sleep duration was not associated with reported injuries; however, both the injured group and uninjured group averaged less than the recommended amounts of sleep. Further investigation into the relationship between musculoskeletal injury and sleep in military personnel is warranted.


2020 ◽  
pp. 089011712096906
Author(s):  
June J. Pilcher ◽  
Dylan N. Erikson ◽  
Carolyn A. Yochum

Purpose: To examine how sleep and physical activity predict body mass index (BMI) in college students. Design: Cross-sectional. Setting: Medium-sized public university in the Southeastern United States. Subjects: 386 undergraduate students (245 females; 18-25 years). Measures: Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI). Analysis: Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score. Results: Sleep Duration significantly predicted BMI ( β = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI ScoreXCPAQ ( β = -.103, p = .015) and Sleep Quality Factor ScoreXCPAQ ( β = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high. Conclusion: At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.


2015 ◽  
Vol 11 (1) ◽  
pp. 26-32 ◽  
Author(s):  
M. Mendelson ◽  
A. Borowik ◽  
A.-S. Michallet ◽  
C. Perrin ◽  
D. Monneret ◽  
...  

Author(s):  
Lin Li ◽  
Qian Yu ◽  
Wen-rui Zhao ◽  
Fabian Herold ◽  
Boris Cheval ◽  
...  

The current study aimed to investigate the relationship between physical activity (PA) level and inhibitory control performance and then determine whether this association was mediated by multiple sleep parameters (i.e., subjective sleep quality, sleep duration, sleep efficiency, sleep disturbance). Methods. 180 healthy university students (age: 20.15 &plusmn; 1.92 years) from the East China Normal University were recruited in the present study. PA level, sleep parameters, and inhibitory control performance were assessed using the International Physical Activity Questionnaire (IPAQ), the Pittsburgh Sleep Quality Index Scale (PSQI), and a Stroop test, respectively. Data were analyzed using structual equation modeling. Results. A higher level of PA was linked to better cognitive performance. Furthermore, higher subjective sleep quality and sleep efficiency were associated with better inhibitory control performance. The mediation analysis revealed that subjective sleep quality and sleep efficiency mediated the relationship between PA level and inhibitory control performance. Conclusion. Our results are in accordance with the literature and buttress the idea that a healthy lifestyle that involves a relatively high level of regular PA and adequate sleep patterns is beneficial for cognition (e.g., inhibitory control performance). Furthermore, our study adds to the literature that sleep quality and sleep efficiency mediates the relationship of PA and inhibitory control performance expanding our knowledge in the field of exercise-cognition.


Salmand ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 188-199
Author(s):  
Morteza Taheri ◽  
◽  
Khadijeh Irandoust ◽  

Objectives: Elderly lifestyle and factors such as physical activity, sleep quality, and nutritional patterns affect quality of life. The purpose of this study was to determine the relationship between sleep quality and elderly lifestyle with an emphasis on physical activity. Methods & Materials: A descriptive-analytic research method was used in which 130 elderly women aged 60-70 years old in Qazvin City in 1397 at the Sports and Health Consultation Center of Sports and Youth Department of Qazvin Province were selected by available sampling method. The nutritional analysis of the subjects was evaluated before the tests to control the effect of food intake on the results using N4 software. The sleep and physical activity recording device (Actiwatch-8) was used to collect data. Pearson correlation coefficient was used for data analysis. Results: The results of the study showed that there was a significant relationship between physical activity with sleep duration (P=0.04), awakening bouts (P=0.038), actual sleep (P=0.003) and time in bed (P=0.035).  Conclusion: According to the results, the sleep patterns have a direct relationship with physical activity behavior; therefore, it is recommended to increase the duration of activity in order to improve the quality of sleep in the elderly.


2021 ◽  
Vol 6 (2) ◽  
pp. 45
Author(s):  
Anita Tria Purnamasari ◽  
Elida Ulfiana ◽  
Andri Setya Wahyudi

Introduction: The elderly tend to have short sleep duration, resulting in poor sleep quality. Physical activity is believed can improved sleep quality. This study was aimed to explain the relationship between physical activity and sleep quality among the elderly who are still working.Method: This study used a correlational research design with a cross-sectional approach. There were 63 elderly who involved as respondents by using the simple random sampling technique. The independent variable of this research was physical activities, while the dependent variable was sleep quality. A questionnaire was used to collect data. Data were then analyzed by using the Chi-Square test with a significance level of p=0.05.Results: The study found that physical activity correlates with sleep quality among the elderly who are still working (p=0.021). The elderly with moderate physical activity has three times chance to have a good sleep quality (OR=3.667).Conclusion: Moderate physical activity correlates with good sleep quality. However, an increase in physical activity will worsen the sleep quality among the elderly. The elderly who are still working can reduce the intensity of their activity in the workplace.


2019 ◽  
Author(s):  
Hassan Mozaffari-Khosravi ◽  
Majid Karandish ◽  
Ali Mohammad Hadianfard ◽  
Maryam Azhdari ◽  
Leila Sheikhi ◽  
...  

Abstract BackgroundLifestyle and its relationship to aspects of sleep quality have been reported in many studies. An unhealthy lifestyle is associated with less sleep duration and sleep patterns. Breakfast skipping is as an important part of unhealthy lifestyle. Poor sleep quality and skipping breakfast are common in adolescents. The aim of this study was to investigate the relationship between nutritional habits (breakfast and midmorning snack) and sleep quality in Yazd adolescents.MethodsThis study was conducted among 569 students aged 12–16 years. They were selected by multistage random-cluster sampling method. Information such as demographic characteristics, anthropometric measurements, students' nutritional habits, physical activity and sleep quality were collected from all adolescents. All data were assessed by interview, 7-day food record, short form of the International Physical Activity, and Questionnaire and Pittsburgh Sleep Quality Index. The data were analyzed by SPSS software (version 22).ResultsThe prevalence of breakfast skipping and semi-skipping (57.2%), overweight and obesity (37.8%), and insufficient sleep duration (38.9%) were high. The sleep score was significantly better in boys (p = 0.02). Sleep quality score of 63.7 % of the students was poor, but a significant relationship was not illustrated between sleep quality with breakfast frequency, abnormal weight, breakfast time, morning snack intake. A significant relationship was found between poor sleep quality with late bedtime and low physical activity (p <0.0001), late dinner (p <0.004), and female gender (p <0.02).ConclusionsThis cross-sectional study supported the association between having dinner soon and no late bedtime with good sleep quality. But no significant difference was shown between sleep quality with weight and breakfast habits. This study suggested paying more attention to nutritional and sleeping status in this age group by employing skilled nutritionists and mental health professional in high schools.


2019 ◽  
Vol 2 (3) ◽  
pp. 79-85
Author(s):  
J Takács ◽  
L Török

Purpose This study investigated the day-to-day variability of daily physical activity and its effect on sleep and mood in a longitudinal within-subjects study for 7 days and 6 nights. Materials and methods Healthy office employees aged 25–35 years with a sedentary lifestyle participated in the study. Seven-day sleep diaries were used to evaluate sleep patterns. Ten-point scales were used to measure the level of happiness and stress. Daily physical activity was measured in steps/day using pedometers. Two hundred forty-five steps/day scores and changes induced in sleep and mood were analysed. Results There is a relationship between daily physical activity and sleep/mood. An inverted U-shaped relationship may be assumed between sleep duration, sleep quality, feelings after waking up, and the number of steps/day. Increasing the number of steps/day decreases the level of stress and daytime sleepiness and increases sleep efficiency. Sleep efficiency/daytime sleepiness and sleep duration did not show any association. Conclusions Based on the results, after a physically exhausting day, decreased stress and improved sleep efficiency may be experienced, while sleep duration may decrease, which may reduce the participants’ motivation to develop an active lifestyle. For further studies, it would be crucial to use individual exercise intervention programmes to reinforce the positive effects of exercise on sleep and/or mood.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared


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