scholarly journals The Relationship Between Sleep Characteristics and Unmet Physical Activity Need in Older Women

2018 ◽  
Vol 32 (3-4) ◽  
pp. 199-207 ◽  
Author(s):  
Lotta Palmberg ◽  
Anne Viljanen ◽  
Taina Rantanen ◽  
Jaakko Kaprio ◽  
Merja Rantakokko

Objective: We examined among older women the association of sleep quality, daytime tiredness, and sleep duration with unmet physical activity need, that is, wishing to be more physically active but perceiving no opportunity for it. Method: Cross-sectional logistic regression analyses among women aged 74 to 86 years (Finnish Twin Study on Aging, third wave, n = 302). Results: Thirty-one participants reported unmet physical activity need. Short sleepers had fivefold and long sleepers threefold odds for unmet physical activity need compared with normative sleepers, while for daytime tiredness the odds were double. Presence of daytime tiredness and unmet physical activity coincided with higher prevalence of chronic diseases, depressive symptoms and walking difficulties, which partly explains the observed associations. Poor sleep quality was not associated with unmet physical activity need. Discussion: Older women with nonoptimal sleep characteristics who perceive unmet physical activity need may benefit from solutions that improve their perceived opportunities for physical activity.

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


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Mutia Annisa ◽  
Dwi Nurviyandari Kusuma Wati

<p class="AbstractContent"><strong>Objective:</strong> Elderly are at risk of poor slepp quality and other health problems due to reduced sleep satisfaction. The objective of this study was to explore the association between sleep hygiene and sleep quality in elderly.</p><p class="AbstractContent"><strong>Methods: </strong>This was a descriptive study with cross sectional design. The study was conducted in four elderly care institutions in Jakarta, Indonesia, involving a purposive sample of 103 elderly aged 60 to 111 years old. Data were collected using Sleep Hygiene Index (SHI) and Pittsburgh Sleep Quality Index (PSQI).</p><p class="AbstractContent"><strong>Results:</strong> Over half of the residents had poor sleep hygiene (51.5%) and more than three quarter (81.6%) had poor sleep quality. The study revealed that there was a highly significant relationship between sleep hygiene and sleep quality (p = 0.001). The study also showed that those with poor sleep hygiene were 7.834 times more likely to have poor sleep quality.<strong></strong></p><p class="AbstractContent"><strong>Conclusion: </strong>Nurses need to include interventions that may address residents’ sleep problems. They also need to promote sleep hygiene and improve residents’ sleep quality.<strong></strong></p><strong>Keywords: </strong>elderly, institution, sleep hygiene, sleep quality


BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e021902 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Sporiš ◽  
Tomislav Krističević ◽  
Damir Knjaz

ObjectivesThe main purpose of the present study was to explore the associations between sleep quality and insufficient physical activity.DesignCross-sectional.SettingFaculties in Croatia.Participants2100 university students (1049 men and 1051 women) aged 18–24 years were recruited.Primary outcomeTo assess the domains of sleep quality (independent variables) and ‘insufficient’ physical activity (dependent variable), we used previously validated Pittsburgh Sleep Quality Index and International Physical Activity questionnaires. Logistic regressions were used to calculate the associations between the sleep quality and ‘insufficient’ physical activity.ResultsWhen sleep quality domains were entered separately into the model, very bad subjective sleep quality (OR 3.09; 95% CI 1.50 to 6.56), >60 min of sleep latency (OR 2.17; 95% CI 1.39 to 3.39), <7 hours of sleep (OR 1.56; 95% CI 1.24 to 1.96), <65% of habitual sleep efficiency (OR 2.26; 95% CI 1.26 to 4.05), sleep disturbances >1/week (OR 1.61; 95% CI 1.03 to 2.52), use of sleep medication >1/week (OR 3.35; 95% CI 1.83 to 6.10), very big daytime dysfunction problem (OR 2.78; 95% CI 1.57 to 4.93) and poor sleep quality (1.53; 95% CI 1.23 to 1.91) were associated with ‘insufficient’ physical activity. When all sleep quality domains were entered simultaneously into the model, the same significant associations remained, except for sleep disturbances. Both models were adjusted for gender, body mass index, self-rated health, life satisfaction, socioeconomic status, presence or absence of chronic diseases, smoking status, binge drinking and psychological distress.ConclusionsOur results show that ‘poor’ sleep quality is associated with ‘insufficient’ physical activity in young adults. In order to improve, special strategies and policies that leverage ‘good sleep’ quality are warranted.


SLEEP ◽  
2019 ◽  
Vol 42 (8) ◽  
Author(s):  
Arpita Parmar ◽  
E Ann Yeh ◽  
Daphne J Korczak ◽  
Shelly K Weiss ◽  
Zihang Lu ◽  
...  

AbstractStudy ObjectivesTo evaluate the association between depressive symptoms, sleep patterns (duration and quality), excessive daytime sleepiness (EDS), and physical activity (PA) in adolescents with narcolepsy.MethodsThis cross-sectional study included adolescents (ages 10–18 years) with narcolepsy attending a tertiary care facility (The Hospital for Sick Children, Toronto, Canada). Adolescents with narcolepsy completed questionnaires evaluating depressive symptoms (Children’s Depression Inventory-2nd edition [CDI-2]), sleep quality (Pittsburgh Sleep Quality Index), EDS (Epworth Sleepiness Scale), and PA (Godin Leisure-Time Exercise Questionnaire). Wrist-based actigraphy was worn by adolescents for 1 week to measure total sleep time (over 24 hr) and sleep efficiency percentage.ResultsThirty adolescents with narcolepsy (mean age = 13.8 ± 2.2 years, 76.7% male) participated. In this cohort of adolescents with narcolepsy, 23.3% had CDI-2 total scores in the elevated range. Greater CDI-2 total scores were associated with poor sleep quality (ρ = 0.571; p = 0.02), EDS (ρ = 0.360; p = 0.05), and lower self-reported PA levels (ρ = −0.512; p < 0.01).ConclusionsAdolescents with narcolepsy report experiencing depressive symptoms, which are associated with poor sleep quality, EDS, and low PA levels. Strategies to improve nocturnal sleep quality and symptoms of EDS as well as promoting increased PA levels in adolescents with narcolepsy may provide an opportunity to improve depressive symptoms in this population. Multidisciplinary care with mental health and sleep specialists for adolescents with narcolepsy is needed.


2015 ◽  
Vol 28 (3) ◽  
pp. 296-305 ◽  
Author(s):  
Belgüzar Kara ◽  
Elif Gökçe Tenekeci

Purpose: The purpose of this study was to evaluate sleep quality and to explore its associations with participant characteristics, anemia, excessive daytime sleepiness, and physical activity in older Turkish adults with hypertension. Method: This cross-sectional study included 128 adults aged 60 years or older with hypertension. Data were collected by using a personal information form, the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, and the International Physical Activity Questionnaire. Anemia was assessed by hemoglobin levels. Results: Eighty-one patients (63.3%) reported poor sleep quality. Anemia was present in 35.2% of the patients (defined as hemoglobin <13 g/dL for males and <12 g/dL for females). Female gender, the presence of anemia, and low levels of physical activity were associated with poor sleep quality. Conclusion/Implication: The majority of the participants had poor sleep quality. Better understanding of risk factors associated with poor sleep quality may contribute to more effective interventions to improve health and well-being.


2020 ◽  
Vol 43 (12) ◽  
pp. 1392-1402
Author(s):  
Huan Hu ◽  
Huan Li ◽  
Xiao Huang ◽  
Huihui Bao ◽  
Yun Song ◽  
...  

AbstractThe association between sleep conditions and arterial stiffness remains inconclusive. We aimed to investigate the relationship of sleep duration and quality with brachial-ankle pulse-wave velocity (baPWV) in hypertensive patients. A total of 14,485 hypertensive adults were included in this cross-sectional analysis. Information about sleep duration and quality was obtained via questionnaire. A baPWV level ≥1800 cm/s was defined as indicative of arterial stiffness. Compared with participants with a sleep duration <8 h per day, participants with a sleep duration ≥8 h per day had a significantly higher baPWV level (β = 13.7 cm/s; 95% CI: 3.9, 23.5) and a nonsignificantly higher prevalence of arterial stiffness (39.7% vs. 33.0%; OR, 1.08; 95% CI: 0.99–1.19). Similarly, compared with participants with good or medium sleep quality, participants with poor sleep quality had a significantly higher baPWV level (β = 16.3 cm/s; 95% CI: 0.1, 32.6) and a nonsignificantly greater prevalence of arterial stiffness (36.6% vs. 35.3%; OR, 1.13; 95% CI: 0.97–1.32). When sleep duration and quality were examined jointly, participants with a sleep duration ≥8 h and/or poor sleep quality had a significantly higher baPWV level (β = 14.4 cm/s; 95% CI: 5.3, 23.4) and a greater prevalence of arterial stiffness (38.8% vs. 32.7%; OR, 1.10; 95% CI: 1.01–1.20) than those with a sleep duration <8 h and good/medium sleep quality. In summary, among hypertensive patients, a longer sleep duration (≥8 h per day) and poor sleep quality were associated with higher baPWV levels and a higher prevalence of arterial stiffness.


2018 ◽  
Vol 8 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Sarah M. AlSharif ◽  
Marwah S. Al-Qathmi ◽  
Wejdan M. Baabdullah ◽  
Talah A. Alhrkan ◽  
Yara A. Fayoumi ◽  
...  

Objectives: Poor sleep quality is considered a global health problem. Considering that caffeine intake contributes to sleep disturbances, we evaluated the relationship between sleep quality and the consumption of caffeinated beverages in college students in Jeddah, Kingdom of Saudi Arabia. Methods: This was a cross-sectional study conducted with college students aged 18 to 25 years old from both governmental and private colleges in Jeddah, Saudi Arabia. Sleep quality, caffeine intake, and stress exposure were assessed using three validated electronic questionnaires. Results: A total of 476 college students completed the questionnaire. Sleep quality was found to be poor in 80.7% of students. The prevalence of caffeine intake was as follows: none = 8%, a tolerable amount = 40.5%, and excessive = 51.5%. Of the students who reported excessive caffeine intake, 83.3% had poor sleep quality. The relationship between excessive caffeine intake and poor sleep quality was significant (p = 0.003). Conclusions: The majority of students had poor sleep quality, and this was correlated with excessive caffeine intake. Our results highlight the importance of raising awareness among students about the factors that may affect sleep quality.


2020 ◽  
Vol 6 (1) ◽  
pp. 26-31
Author(s):  
Jenny Novina Sitepu

Background: Attention is one component of cognitive function that consists of three aspects, such as alerting, orienting and executive attention. Attention failure is thought to be a major cause of cognitive decline in sleep deprivation Objective: To determine the relationship between sleep quality and attention on students of the Faculty of Medicine, Universitas HKBP Nommensen Method: This study was an observational analytic study using a cross-sectional design. Study population was active students of the Faculty of Medicine, Universitas HKBP Nommensen. The sample was 62 respondents who met the inclusion and exclusion criteria. Data was collected by giving and filling out the Pittsburgh Sleep Quality Index (PSQI) questionnaire to assess sleep quality. Then proceed with attention checks using Attention Network Test (ANT). The relationship between sleep quality and attention was analyzed using Spearman test. Results: Respondents who have good sleep quality was 34 respondents (54.8%), moderate sleep quality was 24 respondents (38.6%, and poor sleep quality was 4 respondents (6.4%). Median epiction of orienting based on good sleep quality was 28.00 ms and poor sleep quality was 32.00 ms. Median depiction of executive attention based on good sleep quality was 142.29 ms and poor sleep quality was 170.00 ms. There was no correlation between sleep quality with alerting (p = 0.631 and r = 0.062), orienting (p = 0.892 and r = 0.018) and executive attention (p = 0.085 and r = 0.221) Conclusion: There is no relationship between sleep quality and attention (alerting, orienting and executive attention).


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Sima Hashemipour ◽  
Zohreh Yazdi ◽  
Azam Ghorbani

Background. Regarding insufficient data about interaction of job in association of sleep quality with metabolic syndrome (MS), this study has been designed to evaluate this association in workers and employees. Methods. This cross-sectional study was conducted on 448 municipal staff (employee group: N = 295 ; worker group: N = 153 ) referring for periodic examinations. The relationship between sleep quality and MS and their relevant components was investigated in both groups. Results. In the worker group, poor sleep quality was independently associated with the risk of MS by 3.04 times ( P < 0.01 ). Among the components of metabolic syndrome, hypertriglyceridemia was associated with a greater number of sleep disorder components. There was no association between metabolic syndrome and sleep quality in the employee group. Conclusion. Poor sleep quality exerts different effects on metabolic complications in employees and workers.


2021 ◽  
Vol 3 (2) ◽  
pp. 57
Author(s):  
Widya Kusumaningrum ◽  
Rosalina Rosalina ◽  
Umi Setyoningrum

Good quality sleep gets fresh and healthy when awakened from sleep. Poor sleep quality is a risk factor for physical and psychological problems. The problem will arise activating the sympathetic nervous system which eventually causes an increase in blood pressure. So it is important to research because there are still many respondents who experience poor sleep quality with increasing blood pressure. To determine the correlation between sleep quality with blood pressure. Research design descriptive corellational with cross sectional approach. Population in this study is students of PSIK at Ngudi Waluyo University. The sample technique used purposive sampling. The number of samples  is 78 respondents. Analysis of research data used the Spearman Rank Correlation test. The results showed that the students who experienced poor sleep quality were 70 respondents (89.7%). The highest blood pressure of the students was systolic blood pressure of 110 mmHg and diastolic blood pressure of 80 mmHg. On the relationship between sleep quality and systolic blood pressure with a coefficient (r) of 0.400, the strength of the relationship is interpreted at a low level. On the relationship between sleep quality and diastolic blood pressure with a coefficient (r) of 0.619, the strength of the relationship is interpreted at a high level. There was a significant correlation between sleep quality and blood pressure with p-value of 0,000 <0.05. It is expected that the respondents and the society should better regulate blood pressure in order to get good quality sleep.Key words: sleep qualityblood pressure


Sign in / Sign up

Export Citation Format

Share Document