Sleepless nights: the effect of socioeconomic status, physical activity, and lifestyle factors on sleep quality in a large cohort of Australian women

2012 ◽  
Vol 15 (4) ◽  
pp. 237-247 ◽  
Author(s):  
Mohammmad Soltani ◽  
Mohammad R. Haytabakhsh ◽  
Jake M. Najman ◽  
Gail M. Williams ◽  
Michael J. O’Callaghan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Sleep Quality ◽  
Lifestyle Factors ◽  
Large Cohort

scholarly journals The Associations Between Socioeconomic Status and Lifestyle Factors in European Adolescents: A Population-based Study

2017 ◽  
Vol 57 (2) ◽  
pp. 111-124
Author(s):  
Dario Novak ◽  
Štefan Lovro ◽  
Branislav Antala ◽  
Arunas Emeljanovas ◽  
Brigita Mieziene ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Psychological Distress ◽  
Sedentary Behaviour ◽  
Mediterranean Diet ◽  
Vigorous Physical Activity ◽  
Lifestyle Factors ◽  
Cross Sectional ◽  
Independent Variables ◽  
Self Rated Health

Abstract The main purpose of the present study was to determine the associations between socioeconomic status (SES) and lifestyle factors. In this cross-sectional study, participants were 3,072 adolescents from two European countries of Lithuania and Serbia. The dependent variable was SES, while independent variables were gender, adherence to a Mediterranean diet, body-mass index, self-rated health, psychological distress, moderate-to-vigorous physical activity and sedentary behaviour. The associations between dependent and independent variables were analysed by using logistic regression analysis. In univariate model, middle/high SES was associated with higher adherence to a Mediterranean diet (ptrend = 0.003), good self-rated health (OR 1.51; 95 % CI 1.12 to 2.05) and meeting recommendations of moderate-to-vigorous physical activity (OR 2.09; 95 % CI 1.45 to 3.00), yet inversely associated with psychological distress (OR 0.81; 95 % CI 0.66 to 0.99) and sedentary behaviour (OR 0.80; 95 % CI 0.68 to 0.94). No associations were found between SES and bodymass index and gender. In multivariate model, the same associations occurred between middle/high SES and lifestyle factors. In conclusion, special strategies and policies, based on more affordable nutrition and participation in moderate-to-vigorous physical activity, should be implemented within the system.

Diet, Physical Activity, and Screen Time to Sleep Better: Multiple Mediation Analysis of Lifestyle Factors in School-Aged Children with and without Attention Deficit Hyperactivity Disorder

2020 ◽  
pp. 108705472094041 ◽  
Author(s):  
George C.C. Hong ◽  
Russell Conduit ◽  
Jason Wong ◽  
Mirella Di Benedetto ◽  
Eunro Lee
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Multiple Regression ◽  
Screen Time ◽  
Online Survey ◽  
Lifestyle Factors ◽  
Equation Modeling ◽  
Mediation Effects ◽  
School Aged Children ◽  
The Impact

Objective: This study examined the mediation roles of multiple lifestyle factors in school-aged children. Structural equation modeling (SEM) tested how lifestyle factors play mechanism roles one another in the impact of ADHD to seek theoretical and intervention insights. Method: An online survey assessed children’s lifestyle factors including diet, physical activity, screen time, sleep difficulties, and having ADHD diagnosis. A multi-country sample from English speaking nations included 309 caregivers. Multiple regression and SEM were planned to identify significant correlates and mediators of ADHD in explaining lifestyle differences. Results: Preliminary multiple regression showed only sleep quality was significantly different between children with and without ADHD. Significant triple mediation effects suggested diet, physical activity, and screen time mediated the ADHD impact on sleep quality. Conclusion: Researchers and practitioners may incorporate the findings to develop intervention models for children with ADHD attending to the mediational roles of lifestyle factors to improve sleep quality.

scholarly journals Lifestyle Factors’ Impact on Sleep of College Students

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Campsen NA ◽  
◽  
Buboltz WC ◽  
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sleep Quality ◽  
Dietary Habits ◽  
Lifestyle Factors ◽  
Quality Of Sleep ◽  
Caffeine Consumption ◽  
Sleep Length ◽  
The Relationship

Transitioning to college is often met with distinct lifestyle factors that differ from those individuals who do not make such a transition. Such factors include alcohol consumption, caffeine consumption, psychostimulant use, dietary habits, class schedules, and physical activity. These lifestyle factors may impact the sleep length and quality of college students, which leads to other outcomes. Research has explored the relationship between some of these factors and sleep among college students with mixed results. The purpose of this study was to examine the relationship between several lifestyle factors of college students and their impact on the length and quality of sleep. Results indicated that food choice and physical activity are significantly related to sleep quality. Additionally, the amount of caffeine consumed was determined to be related to sleep quality. For sleep length, both amount of caffeine consumed and average hours worked per week were related to sleep length. Although some factors were determined not to predict sleep quality or sleep length, results indicated that there are several specific lifestyle factors associated with being a college student that impact sleep length and sleep quality. Thus, colleges and universities should evaluate the amount and quality of sleep of their students.

scholarly journals Effects of Endometriosis on Sleep Quality of Women: Does Life Style Factor Make a Difference?

2020 ◽  
Author(s):  
Samaneh Youseflu ◽  
Shahideh Jahanian Sadatmahalleh ◽  
Ghazall Roshanzadeh ◽  
Azadeh Mottaghi ◽  
Anoshirvan Kazemnejad ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Pelvic Pain ◽  
Dairy Product ◽  
Lifestyle Factors ◽  
Control Group ◽  
Menstrual Status ◽  
History Of ◽  
The Impact

Abstract Background This study aimed to evaluate the impact of lifestyle factors, and sleep quality on endometriosis risk. Methods Of the 156 infertile women approached for the study, 78 women had endometriosis and 78 were included in the control group. At first, each participant completed a checklist including questions about demographics, physical activity, reproductive and menstrual status. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Dietary data were collected using a validated 147-item semi-quantitative FFQ. Results Irregular menstrual status, menorrhagia, dysmenorrhea, pelvic pain, history of abortion, family history of endometriosis were associated with endometriosis risk (P <0.05). In women with physical activity more than 3 hours per week, high consumption of the dairy product, and fruit endometriosis is less common (P <0.05). The total PSQI score, and the scores for subjective sleep quality, sleep latency, sleep disturbance domains were significantly different between the two groups (P <0.05). In women with endometriosis, poor sleep quality was associated with dysmenorrhea, pelvic pain, dyspareunia, physical activity, and consumption of the dairy product, fruit, and nut (p<0.05). Conclusion In endometriosis women, sleep quality was lower than healthy individuals. Lifestyle factors can effect on sleep quality of these patients.

scholarly journals The 2 × 2 Achievement Goals in Sport and Physical Activity Contexts: A Meta-Analytic Test of Context, Gender, Culture, and Socioeconomic Status Differences and Analysis of Motivations, Regulations, Affect, Effort, and Physical Activity Correlates

2019 ◽  
Vol 10 (1) ◽  
pp. 173-205 ◽  
Author(s):  
Marc Lochbaum ◽  
Thaís Zanatta ◽  
Zişan Kazak
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Physical Education ◽  
Sample Size ◽  
Achievement Goals ◽  
Gender Culture ◽  
Research Questions ◽  
Mastery Avoidance ◽  
Avoidance Goal ◽  
Mastery Approach

Approach-avoidance achievement goals are studied extensively in the context of competitive sports and physical activity, including leisure and physical education. Building upon past meta-analyses, the purpose of this quantitative review was to provide basic descriptive data, estimated means for testing of several research questions (i.e., context, gender, culture, and socioeconomic status), and meta-analyzing outcome correlates (i.e., self-determination constructs, affect, effort, and physical activity). A total of 116 studies up to 1 December 2018, met inclusion criteria. These 116 studies, totaling a sample size of 43,133 participants (M sample size = 347.85 + 359.36), from 22 countries with 92.7% of samples, are drawn from participants less than 30 years of mean age. From the 116 unique studies, nearly half (49.6%) were from a sport context and the rest from leisure-time physical activity (PA) (19.4%) and physical education (PE) (31.0%) contexts. A number of different analyses were conducted to examine our research questions. Support was found for several of our research questions: The mastery-approach goal was endorsed more than all the other goals, while sport participants endorsed the performance-approach goal more than PA and PE groups; females endorsed the mastery-avoidance goal more than males; more culturally individualistic countries endorsed the mastery-approach goal; and countries from lower socioeconomic and interdependent countries endorsed the mastery-avoidance goal than higher socioeconomic and independent countries. Concerning, the meta-analyzed correlates, most relationships were hypothesized through the performance-approach goal, and both avoidance goals appeared to be too similar in relationships with the correlates raising theoretical concerns. Overall, the mastery-approach goals had the most meaningful biased corrected effect size values (rc) with the outcome correlates, such as relative autonomy (0.47), intrinsic motivation (0.52), effort (0.40), positive affect (0.42), physical activity intent (0.38). Based on the present and past meta-analytic results, the 2 × 2 achievement goals as currently measured was questioned. Future research suggestions included fundamental questionnaire issues, the need for latent profile analysis or other more advanced statistics, and whether the 2 × 2 achievement goal framework is the most appropriate framework in physical activity contexts.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

scholarly journals Association between socioeconomic status and longitudinal sleep quality patterns mediated by depressive symptoms

SLEEP ◽  
2021 ◽  
Author(s):  
Ga Bin Lee ◽  
Hyeon Chang Kim ◽  
Ye Jin Jeon ◽  
Sun Jae Jung
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Household Income ◽  
Pittsburgh Sleep Quality Index ◽  
Multinomial Logistic Regression ◽  
Mental Healthcare ◽  
Mediation Effect ◽  
Multinomial Logistic Regression Model ◽  
Mediating Role

Abstract Study Objectives We aimed to examine whether associations between socioeconomic status (SES) and longitudinal sleep quality patterns are mediated by depressive symptoms. Methods We utilized data on 3347 participants in the Korean Genome and Epidemiology Study aged 40–69 years at baseline from 2001 to 2002 who were followed up for 16 years. A group-based modeling approach was used to identify sleep quality trajectories using the Pittsburgh Sleep Quality Index (years 2, 6, 8, 10, and 12). Educational attainment (college graduated or less), monthly household income (≥$2500 or less), and occupation (unemployed, manual labor, and professional labor) at baseline (year 0) were used for analyses. Depressive symptoms were assessed using Beck’s Depression Inventory at year 4. Associations between SES and sleep quality patterns were examined using a multinomial logistic regression model. The mediation effect of depressive symptoms was further examined using PROC CAUSALMED. Results We identified five distinct sleep quality trajectories: “normal-stable” (n = 1697), “moderate-stable” (n = 1157), “poor-stable” (n = 320), “developing to poor” (n = 84), and “severely poor-stable” (n = 89). Overall, associations between SES levels and longitudinal sleep patterns were not apparent after full adjustment for sociodemographic and lifestyle factors measured at baseline. Depressive symptoms, however, tended to fully mediate associations between SES levels and sleep quality patterns (odds ratio range for indirect effects of depressive symptoms: for education, 1.05-1.17; for income, 1.05-1.15). Conclusion A significant mediating role for depressive symptoms between SES levels and longitudinal sleep quality warrants consideration among mental healthcare professionals.

scholarly journals POS0733 REAL-LIFE PHYSICAL ACTIVITY IN SLE PATIENTS: ASSOCIATIONS WITH FATIGUE AND QUALITY OF SLEEP

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 617.1-617
Author(s):  
H. Wohland ◽  
N. Leuchten ◽  
M. Aringer
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Real Life ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Fatigue Score ◽  
The Mean

Background:Fatigue is among the top complaints of patients with systemic lupus erythematosus (SLE), but only in part associated with SLE disease activity. Physical activity can help to reduce fatigue and should therefore be recommended to SLE patients. Vice versa, fatigue may arguably lead to reduced physical activity.Objectives:To investigate the extent of physical activity and the perception of fatigue and sleep quality in patients with SLE.Methods:Starting in February 2019, SLE patients were invited to participate in a cross-sectional survey study of fatigue and physical exercise during their routine outpatient clinic visits. Participants filled out a ten-page paper questionnaire focused on physical activity. To evaluate fatigue, we primarily used a 10 cm visual analogue scale (0-100 mm, with 100 meaning most fatigued), but also the FACIT fatigue score (range 0-52). Sleep quality was estimated using grades from 1 (excellent) to 6 (extremely poor).Results:93 SLE patients took part in the study. All patients fulfilled the European League Against Rheumatism/ American College of Rheumatology (EULAR/ACR) 2019 classification criteria for SLE. 91% of the patients were female. Their mean (SD) age was 45.5 (14.3) years and their mean disease duration 12.1 (9.4) years. The mean BMI was 25.2 (5.6). Of all patients, 7.5% had a diagnosis of (secondary) fibromyalgia. The mean fatigue VAS was 32 (27) mm and the mean FACIT fatigue score 35.7 (10.3). As expected, fatigue by VAS and FACIT was correlated (Spearman r=-0.61, p<0.0001). The mean SLEDAI was 1 (1) with a range of 0 to 6. Median glucocorticoid doses were 2 mg prednisolone equivalent, with a range from 0 to 10 mg.Out of 66 patients in payed jobs, 64 (97%) reported details on their working space. One person (2%) worked in a predominanty standing position, 37 (58%) worked in essentially sedentary jobs and 26 (40%) were in positions where they were mildly physically active in part. The mean fatigue VAS was 31 (24) mm for patients with partly active jobs and 27 (30) mm for those in sedentary jobs. Sleep was graded 2.9 (0.9) by those with active and 3.1 (1.3) by those with sedentary jobs.Half of the patients (51%) reported more than one physical recreational activity. 44 (47%) were walking and for five persons (5%) this was the only form of activity. Cycling was reported by 19 patients (20%), 18 of whom also practiced other activities. For transport, 52 (56%) in part chose active modes, such as walking and cycling. Patients who reported any of the above activities showed a mean fatigue VAS of 28 (25) mm, compared to 36 (28) mm in the patient group without a reported activity. Sleep quality was very similar: 3.1 (1.2) and 3.2 (1.1) for more active and more passive patients, respectively.65 (70%) patients regularly practiced sports. Of these, 39 (60%) practiced one kind of sport, 15 (23%) two, 7 (11%) three, and 2 (3%) each four and five kinds of sports. Fatigue VAS of patients practicing sports was 27 (25) mm versus 43 (28) in those who did not (p=0.0075). Sleep quality was 2.9 (1.1) in the sports cohort and 3.5 (1.1) in the no-sports cohort (p=0.0244).Conclusion:A majority of SLE patients in remission or low to moderate disease activity regularly practiced sports, and those doing so reported lesser fatigue and better sleep quality. The absolute values on the fatigue VAS were in a moderate range that made fatigue as the main cause of not performing sports rather unlikely for most patients.Disclosure of Interests:Helena Wohland: None declared, Nicolai Leuchten Speakers bureau: AbbVie, Janssen, Novartis, Roche, UCB, Consultant of: AbbVie, Janssen, Novartis, Roche, Martin Aringer Speakers bureau: AbbVie, Astra Zeneca, BMS, Boehringer Ingelheim, Chugai, Gilead, GSK, HEXAL, Lilly, MSD, Novartis, Pfizer, Roche, Sanofi, UCB, Consultant of: AbbVie, Astra Zeneca, BMS, Boehringer Ingelheim, GSK, Lilly, MSD, Roche, Sanofi, UCB

scholarly journals Sleep quality in the chronic stage of concussion is associated with poorer recovery: A systematic review

2021 ◽  
Vol 5 ◽  
pp. 205970022110208
Author(s):  
Rebecca Ludwig ◽  
Eryen Nelson ◽  
Prasanna Vaduvathiriyan ◽  
Michael A Rippee ◽  
Catherine Siengsukon
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Data Extraction ◽  
Grey Literature ◽  
Chronic Phase ◽  
Emotional Symptoms ◽  
Eligibility Criteria ◽  
Chronic Stage ◽  
Prior Review

Background Recovery from a concussion varies based on a multitude of factors. One such factor is sleep disturbances. In our prior review, it was observed that in the acute phase, sleep disturbances are predictive of poor outcomes following a concussion. The literature gap remains on how sleep in the chronic phase of recovery affects outcomes. Objective To examine the association between sleep quality during the chronic stage of concussion and post-concussion outcomes. Literature Survey: Literature searches were performed during 1 July to 1 August 2019 in selected databases along with searching grey literature. Out of the 733 results, 702 references were reviewed after duplicate removal. Methods Three reviewers independently reviewed and consented on abstracts meeting eligibility criteria ( n = 35). The full-text articles were assessed independently by two reviewers. Consensus was achieved, leaving four articles. Relevant data from each study was extracted using a standard data-extraction table. Quality appraisal was conducted to assess potential bias and the quality of articles. Results One study included children (18–60 months) and three studies included adolescents and/or adults (ranging 12–35 years). The association between sleep and cognition (two studies), physical activity (one study), and emotion symptoms (one study) was examined. Sleep quality was associated with decreased cognition and emotional symptoms, but not with meeting physical activity guidelines six months post-concussion injury. Conclusions The heterogeneity in age of participants and outcomes across studies and limited number of included studies made interpretations difficult. Future studies may consider if addressing sleep quality following concussion will improve outcomes.

Sign in / Sign up

Export Citation Format

Share Document