scholarly journals Why Are Individuals With Diabetes Less Active? The Mediating Role of Physical, Emotional, and Cognitive Factors

2021 ◽  
Author(s):  
Boris Cheval ◽  
Silvio Maltagliati ◽  
Stefan Sieber ◽  
David Beran ◽  
Aïna Chalabaev ◽  
...  
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Physical Inactivity ◽  
Sleep Problems ◽  
Cognitive Factors ◽  
Activity Levels ◽  
Cognitive Disability ◽  
Cognitive Changes ◽  
Linear Evolution

Abstract Background Despite the key role of physical activity in the management of diabetes, many individuals with diabetes do not engage in the recommended levels of physical activity. However, our knowledge of the mechanisms underlying the relationship between diabetes and physical inactivity is limited. Purpose To investigate the associations between diabetes and the levels and evolution of physical activity across aging, and to determine whether physical, emotional, and cognitive factors mediate these associations. Methods Data from 105,622 adults aged 50–96 years from the Survey of Health, Ageing and Retirement in Europe (SHARE) were used in adjusted linear mixed models to examine whether diabetes was associated with physical activity levels and variations across aging. The potential mediators were subjective energy, muscle strength, physical and cognitive disability, sleep problems, depressive symptoms, and cognitive functions. The variables were measured up to seven times over a 13-year period. Results Individuals with diabetes demonstrated a lower level and a steeper decrease in physical activity across aging than individual without diabetes. Mediators explained ~53% and 94% of the association of diabetes with the level of physical activity and with the linear evolution of physical activity across aging, respectively. All mediators were significantly associated with physical activity. Physical and cognitive disability as well as depressive symptoms were the strongest mediators, while sleep was the lowest one. Conclusions These findings suggest that the etiology of physical inactivity in individuals with diabetes can result from several physical, emotional, and cognitive changes associated with the emergence of this disease.

379 Do Depressive Symptoms Mediate the Association Between Insomnia and Physical Activity?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A150-A151
Author(s):  
Jamie Walker ◽  
Rebecca Campbell ◽  
Ivan Vargas
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Online Survey ◽  
Longitudinal Design ◽  
Energy Levels ◽  
Depression Scale ◽  
Severity Index ◽  
Future Research ◽  
Activity Levels ◽  
Insomnia Symptoms

Abstract Introduction Insomnia and depression are highly comorbid and have been shown to be independently associated with lower levels of physical activity. It is not clear, however, if being less physically active is a risk factor for or consequence of depression and insomnia. The factors that explain the associations between insomnia, depression, and physical activity are likely complex and overlapping. For example, insomnia may predict inactivity by impacting one’s energy levels, leaving them too tired to exercise. Insomnia may also interfere with one’s motivation to exercise due to low mood, as insomnia is associated with the development of depressive symptoms. The purpose of the present study was to explore whether depression mediated the link between insomnia and low levels of physical activity. Methods A national online survey was conducted from April-June 2020. Participants completed surveys to assess demographics, mood, sleep, and physical activity. Depressive symptoms were estimated with the Center for Epidemiologic Studies Depression Scale (CES-D). Insomnia symptoms were estimated with the Insomnia Severity Index (ISI). Physical activity levels were estimated with the International Physical Activity Questionnaire (IPAQ). Analyses were conducted using multiple linear regression, with separate models for depression, insomnia, and the combination of the two, on levels of physical activity. Results 3,952 adults (Mage = 46.9 years) completed the survey. According to the unadjusted models, greater insomnia symptoms were associated with greater depressive symptoms (b = 0.4523, SE = 0.019593, p < .001), and lower levels of physical activity (b = -38.741, SE = 18.236, p = 0.0337). The relationship between insomnia and physical activity was no longer significant, however, when controlling for depression (b = -6.140, SE = 19.274, p = 0.75). According to the mediation analyses, there was an indirect effect of insomnia on physical activity that was explained by differences in depressive symptoms (Sobel Test = -4.895, SE = 6.518, p < .001). Conclusion Our findings support previous research indicating associations between symptoms of insomnia and depression and physical activity. Future research should examine if these same results hold using a longitudinal design. Support (if any) Vargas: K23HL141581

scholarly journals Increasing physical activity in people with COPD

2020 ◽  
Vol 31 (11) ◽  
pp. 461-466
Author(s):  
Matthew Armstrong
Keyword(s):  
Physical Activity ◽  
Pulmonary Rehabilitation ◽  
Physical Inactivity ◽  
Interdisciplinary Approach ◽  
Complex Nature ◽  
Chronic Obstructive ◽  
Activity Levels ◽  
Obstructive Pulmonary Disease ◽  
Behavioural Interventions ◽  
Extra Pulmonary

Levels of physical activity tend to be reduced in people with COPD. Matthew Armstrong discusses the benefits of improving activity levels in this group of patients It is well acknowledged that levels of physical activity in patients with chronic obstructive pulmonary disease (COPD) are considerably lower than healthy-age matched individuals, with physical inactivity recognised as a key predictor of hospitalisation and mortality. Pulmonary rehabilitation (PR) has become a major tool for managing symptoms of COPD and the associated extra-pulmonary effects. However, inconsistencies surrounding its effectiveness in terms of improving physical activity remain due to the complex nature of physical activity. To overcome these inconsistencies, both pharmacological and behavioural interventions have been documented to aid improvements in physical activity, with behavioural interventions alongside PR found to be the most effective tool to promote levels of physical activity. Health professionals must therefore look to incorporate an interdisciplinary approach in order to best achieve improvements in physical activity levels in patients with COPD.

Stress and Health Outcomes: Do Meaningful Work and Physical Activity Help?

2017 ◽  
Vol 46 (3) ◽  
pp. 251-264 ◽  
Author(s):  
Suzanne H. Lease ◽  
Christina L. Ingram ◽  
Emily L. Brown
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Health Outcomes ◽  
Risk Behaviors ◽  
Perceived Stress ◽  
Meaningful Work ◽  
Health Risk Behaviors ◽  
Negative Effects ◽  
Stress And Health

The negative effects of stress and burnout on mental and physical health are widely known, as are the beneficial effects of physical activity. While the organizational literature emphasizes the value of meaningful work for employers and employees alike, the stress-buffering role of meaningful work in combination with physical activity is not known. The present study examined the (a) mediating role of burnout in the relationships between perceived stress and health risk behaviors (i.e., poor diet, tobacco use, and alcohol use) and depressive symptoms and (b) moderating roles of meaningful work and physical activity on the relationships between perceived stress and health outcomes. Participants were 229 employed adults. Perceived stress predicted physical health risk behaviors and depressive symptoms, but the direct and indirect negative effects of stress were stronger when meaningful work scores were lower. Findings offer support for the development of interventions that include enhancing work meaningfulness.

scholarly journals Trends in Self-Reported Sitting Time by Physical Activity Levels Among US Adults, NHANES 2007/2008–2017/2018

2021 ◽  
Vol 18 (S1) ◽  
pp. S74-S83
Author(s):  
Emily N. Ussery ◽  
Geoffrey P. Whitfield ◽  
Janet E. Fulton ◽  
Deborah A. Galuska ◽  
Charles E. Matthews ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
Premature Mortality ◽  
Linear Increase ◽  
Sitting Time ◽  
Point Estimate ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Active Adults

Background: High levels of sedentary behavior and physical inactivity increase the risk of premature mortality and several chronic diseases. Monitoring national trends and correlates of sedentary behavior and physical inactivity can help identify patterns of risk in the population over time. Methods: The authors used self-reported data from the National Health and Nutrition Examination Surveys (2007/2008–2017/2018) to estimate trends in US adults’ mean daily sitting time, overall, and stratified by levels of leisure-time and multidomain physical activity, and in the joint prevalence of high sitting time (>8 h/d) and physical inactivity. Trends were tested using orthogonal polynomial contrasts. Results: Overall, mean daily sitting time increased by 19 minutes from 2007/2008 (332 min/d) to 2017/2018 (351 min/d) (Plinear < .05; Pquadratic < .05). The highest point estimate occurred in 2013/2014 (426 min/d), with a decreasing trend observed after this point (Plinear < .05). Similar trends were observed across physical activity levels and domains, with one exception: an overall linear increase was not observed among sufficiently active adults. The mean daily sitting time was lowest among highly active adults compared with less active adults when using the multidomain physical activity measure. Conclusions: Sitting time among adults increased over the study period but decreased in recent years.

scholarly journals The active living gender’s gap challenge: 2013–2017 Eurobarometers physical inactivity data show constant higher prevalence in women with no progress towards global reduction goals

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
X. Mayo ◽  
G. Liguori ◽  
E. Iglesias-Soler ◽  
R. J. Copeland ◽  
I. Clavel San Emeterio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
World Health ◽  
Activity Levels ◽  
The World ◽  
Health Organization ◽  
Global Reduction ◽  
Activity Questionnaire ◽  
The Eu

Abstract Background The World Health Organization (WHO) considers physical inactivity (PIA) as a critical noncommunicable factor for disease and mortality, affecting more women than men. In 2013, the WHO set a 10% reduction of the PIA prevalence, with the goal to be reached by 2025. Changes in the 2013–2017 period of physical inactivity prevalence in the 28 European Union (EU) countries were evaluated to track the progress in achieving WHO 2025 target. Methods In 2013 and 2017 EU Special Eurobarometers, the physical activity levels reported by the International Physical Activity Questionnaire of 53,607 adults were analyzed. Data were considered as a whole sample and country-by-country. A χ2 test was used to analyze the physical inactivity prevalence (%) between countries, analyzing women and men together and separately. Additionally, PIA prevalence was analyzed between years (2013–2017) for the overall EU sample and within-country using a Z-Score for two population proportions. Results The PIA prevalence increased between 2013 and 2017 for the overall EU sample (p <  0.001), and for women (p = 0.04) and men (p < 0.001) separately. Data showed a higher PIA prevalence in women versus men during both years (p <  0.001). When separately considering changes in PIA by gender, only Belgium’s women and Luxembourg’s men showed a reduction in PIA prevalence. Increases in PIA prevalence over time were observed in women from Austria, Croatia, Germany, Lithuania, Malta, Portugal, Romania, and Slovakia and in men from Bulgaria, Croatia, Czechia, Germany, Italy, Lithuania, Portugal, Romania, Slovakia, and Spain. Conclusions PIA prevalence showed an overall increase across the EU and for both women and men between 2013 and 2017, with higher rates of PIA reported for women versus men during both years. PIA prevalence was reduced in only Belgium’s women and Luxembourg’s men. Our data indicate a limited gender-sensible approach while tacking PIA prevalence with no progress reaching global voluntary reductions of PIA for 2025.

scholarly journals Trends of low physical activity among Iranian adolescents across urban and rural areas during 2006–2011

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Parisa Amiri ◽  
Parisa Naseri ◽  
Golnaz Vahedi-Notash ◽  
Sara Jalali-Farahani ◽  
Yadollah Mehrabi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Rural Areas ◽  
Urban Areas ◽  
Physical Inactivity ◽  
Multinomial Logistic Regression ◽  
Prevalence Ratio ◽  
Sample Survey ◽  
Activity Levels ◽  
Urban Girls ◽  
Urban And Rural Areas

AbstractIt is well documented that physical inactivity is related to weight gain and a whole host of chronic diseases. This study investigated trends of low physical activity among Iranian adolescents in urban and rural areas between 2006–2011. A total of 12,178 adolescents, aged between 15 and 19 years, participated in National Surveys of Risk Factors for Non-Communicable Diseases. Data on physical activity was obtained using the global physical activity questionnaire. A complex sample survey and multinomial logistic regression were used to model physical activity levels. The percentage of adolescents who had low levels of physical activity increased from 2006 to 2011 in both urban and rural areas. Low and moderate levels of physical activity were lower in rural girls as compared with urban girls, with a prevalence ratio of 0.59 (95% CI 0.47–0.74) and 0.59 (95% CI 0.47–0.74), respectively. The corresponding values for boys residing in rural areas compared with boys in urban areas were 0.56 (95% CI 0.43–0.75) and 0.60 (95% CI 0.48–0.74), respectively. The adolescents' lifestyles showed an increasing trend for physical inactivity in both genders; however, in rural areas, only girls had a rising affinity for a sedentary lifestyle throughout the 2006–2011 years.

scholarly journals Where are Children Active and Does it Matter for Physical Activity? A Latent Transition Analysis

2016 ◽  
Vol 13 (12) ◽  
pp. 1294-1300 ◽  
Author(s):  
Natalie Colabianchi ◽  
Jamie L. Griffin ◽  
Kerry L. McIver ◽  
Marsha Dowda ◽  
Russell R. Pate
Keyword(s):  
Physical Activity ◽  
Latent Class ◽  
Latent Transition Analysis ◽  
Latent Classes ◽  
Activity Levels ◽  
Transition Analysis ◽  
Physical Activity Levels ◽  
Latent Transition ◽  
Over Time

Background:Numerous studies have focused on the role of environments in promoting physical activity, but few studies have examined the specific locations where children are active and whether being active in these locations is associated with physical activity levels over time.Methods:Self-reported locations of where physical activity occurred and physical activity measured via accelerometry were obtained for a cohort of 520 children in 5th and 6th grades. Latent class analysis was used to generate classes of children defined by the variety of locations where they were active (ie, home, school grounds, gyms, recreational centers, parks or playgrounds, neighborhood, and church). Latent transition analyses were used to characterize how these latent classes change over time and to determine whether the latent transitions were associated with changes in physical activity levels.Results:Two latent classes were identified at baseline with the majority of children in the class labeled as ‘limited variety.’ Most children maintained their latent status over time. Physical activity levels declined for all groups, but significantly less so for children who maintained their membership in the ‘greater variety’ latent status.Conclusions:Supporting and encouraging physical activity in a variety of locations may improve physical activity levels in children.

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