Source and Size of Emotional and Financial-Related Social Support Network on Physical Activity Behavior Among Older Adults

2016 ◽  
Vol 13 (7) ◽  
pp. 776-779 ◽  
Author(s):  
Paul D. Loprinzi ◽  
Chelsea Joyner
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Support Network ◽  
Social Support Network ◽  
Physical Activity Guidelines ◽  
Activity Behavior ◽  
Emotional Social Support

Objective:To examine the association of source of emotional- and financial-related social support and size of social support network on physical activity behavior among older adults.Methods:Data from the 1999–2006 NHANES were used (N = 5616; 60 to 85 yrs). Physical activity and emotional- and financial-related social support were assessed via self-report.Results:Older adults with perceived having emotional social support had a 41% increased odds of meeting physical activity guidelines (OR = 1.41; 95% CI: 1.01–1.97). The only specific sources of social support that were associated with meeting physical activity guidelines was friend emotional support (OR = 1.19; 95% CI: 1.01–1.41) and financial support (OR = 1.28; 95% CI: 1.09–1.49). With regard to size of social support network, a dose-response relationship was observed. Compared with those with 0 close friends, those with 1 to 2, 3 to 4, 5, and 6+ close friends, respectively, had a 1.70-, 2.38-, 2.57-, and 2.71-fold increased odds of meeting physical activity guidelines. There was some evidence of gender- and age-specific associations between social support and physical activity.Conclusions:Emotional- and financial-related social support and size of social support network are associated with higher odds of meeting physical activity guidelines among older adults.

Source and Size of Social Support Network on Sedentary Behavior Among Older Adults

2017 ◽  
Vol 32 (1) ◽  
pp. 28-31 ◽  
Author(s):  
Paul D. Loprinzi ◽  
Elizabeth A. Crush
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Smoking Status ◽  
Vigorous Physical Activity ◽  
Household Size ◽  
Self Report ◽  
Support Network ◽  
Inverse Association ◽  
Social Support Network

Purpose: To examine the association of source of social support and size of social support network on sedentary behavior among older adults. Design: Cross-sectional. Setting: National Health and Nutrition Examination Survey 2003 to 2006. Participants: 2519 older adults (60+ years). Measures: Sedentary behavior was assessed via accelerometry over a 7-day period. Social support was assessed via self-report. Sources evaluated include spouse, son, daughter, sibling, neighbor, church member, and friend. Regarding size of social network, participants were asked, “In general, how many close friends do you have?” Analysis: Multivariable linear regression. Results: After adjustment, there was no evidence of an association between the size of social support network and sedentary behavior. With regard to specific sources of social support, spousal social support was associated with less sedentary behavior (β = −11.6; 95% confidence interval: −20.7 to −2.5), with evidence to suggest that this was only true for men. Further, an inverse association was observed between household size and sedentary behavior, with those having a greater number of individuals in the house having lower levels of sedentary behavior. These associations occurred independent of moderate-to-vigorous physical activity, age, gender, race–ethnicity, measured body mass index, total cholesterol, self-reported smoking status, and physician diagnosis of congestive heart failure, coronary artery disease, stroke, cancer, hypertension, or diabetes. Conclusion: Spouse-specific emotion-related social support (particularly for men) and household size were associated with less sedentary behavior.

scholarly journals Lutein Intake and Blood Lutein Concentration Are Positively Associated with Physical Activity in Adults: A Systematic Review

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1186 ◽  
Author(s):  
Madeline Cooke ◽  
Alison Coates ◽  
Elizabeth Buckley ◽  
Jonathan Buckley
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Blood Concentration ◽  
Web Of Science ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Inclusion Criteria ◽  
Activity Behavior ◽  
Measure Of Association ◽  
The Relationship

Lutein is a carotenoid that reduces the risk of some chronic diseases, possibly by altering physical activity behavior. The objective of this study was to conduct a systematic review of studies examining the relationship between lutein status (dietary intake/blood concentration) and physical activity. Peer-reviewed studies published in Medline, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, and Embase were included if they reported a measure of association between lutein status and physical activity. Seventeen studies met the inclusion criteria. Eleven reported positive associations, three reported mixed results, and three reported no association. Two studies used objective measures of lutein status (blood concentration) and physical activity (accelerometry) and reported positive associations, with correlations of ≥0.36 and differences of ≥57% in physical activity between upper and lower tertiles. Studies using self-report measures reported weaker correlations (r = 0.06 to 0.25), but still more physical activity (18% to ≥600% higher) in those with the highest compared with the lowest lutein status. Higher lutein status may be associated with higher levels of physical activity, which may contribute to a reduced risk of chronic disease.

scholarly journals The effectiveness of health literacy oriented programs on physical activity behaviour in middle aged and older adults with type 2 diabetes: a systematic review

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Michael Huen Sum Lam ◽  
Angela Yee Man Leung
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Older Adults ◽  
Health Literacy ◽  
Type Ii Diabetes ◽  
Physical Activity Behavior ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii ◽  
Middle Aged ◽  
Activity Behavior

Health literacy is the first step to self-management of type II diabetes mellitus, of which physical activity is the least compliant behavior. However, no reviews have summarized the effect and the process of interventions of health literacy oriented programs on physical activity behavior among middle aged and older adults with type II diabetes mellitus. This article is the first to examine the effectiveness of health literacy oriented programs on physical activity behavior among middle aged and older adults with type II diabetes mellitus. This systematic review extracted articles from nine electronic databases between 1990 and 2013. Six interventional studies were extracted and reported in accordance with the guidance of Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Findings demonstrated that health literacy oriented programs increased the frequency and duration of physical activity among patients with high health literacy. Although some studies effectively improved the health literacy of physical activity, gap in literature remains open for the indistinct and unreliable measurement of physical activity within self-management programs of type II diabetes mellitus, and the questionable cross-culture generalizability of findings. Further studies with well-knit theorybased intervention with respect to patients’ cultural background, duration of intervention and objective measurements are encouraged to elucidate the relationship between health literacy oriented programs and physical activity behavior.

Understanding Older Adults' Physical Activity Behavior: A Multi-Theoretical Approach

Quest ◽  
2006 ◽  
Vol 58 (3) ◽  
pp. 310-329 ◽  
Author(s):  
Janene M. Grodesky ◽  
Maria Kosma ◽  
Melinda A. Solmon
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Theoretical Approach ◽  
Physical Activity Behavior ◽  
Activity Behavior

Automatic Regulation Used in Sport and Exercise Research

2017 ◽  
Author(s):  
Amanda L. Rebar
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Sport Performance ◽  
Self Report ◽  
Automatic Regulation ◽  
Physically Active ◽  
Self Identity ◽  
Automatic Associations ◽  
Activity Behavior ◽  
Sport And Exercise

Much of our sport and physical activity behavior is regulated by processes occurring outside of conscious awareness. In contrast, most sport and physical activity research focuses on processes that are easily accessible by conscious introspection. More and more, however, research is demonstrating that automatic regulation is instrumental to our understanding of how to get people to maintain a physically active lifestyle and how to get the most out of people’s sports performance potential. Automatic regulation is the influence on our thoughts and actions that result from the mental network of associations we use to make sense of the world around us. Habits are automatic associations of cues with behavioral responses. Automatic evaluations are automatic associations of cues as being good or bad. Automatic schemas are automatic associations of cues with actual or ideal self-identity. These processes have been assessed with implicit measures by making indirect inferences from self-report or response latency tasks. Emerging research demonstrates that automatic associations influence sport performance and physical activity behavior, but further work is still needed to establish which type of automatic regulation is responsible for these influences and how automatic regulation and reflective processes interact to impact movement.

Tracking of physical activity during middle school transition in Iranian adolescents

2011 ◽  
Vol 71 (6) ◽  
pp. 631-641 ◽  
Author(s):  
Parvaneh Taymoori ◽  
Tanya R Berry ◽  
David R Lubans
Keyword(s):  
Physical Activity ◽  
High School ◽  
Physical Inactivity ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Psychological Variables ◽  
Interpersonal Influences ◽  
Factors Analysis ◽  
Activity Behavior

Objective: The purpose of this longitudinal study was to examine changes in physical activity behavior, psychological factors and interpersonal influences associated with exercise behavior during the transition from secondary school to high school in Sanandaj, Iran. Design: Data were collected from students in 2006 ( N = 1,073), of whom 844 provided follow-up data in 2009. Setting: The students were in high school in 2009 (51% male) with a mean age of 16.42 ± 1.73 years. Method: Physical activity-related cognitions, interpersonal influences, and physical activity behavior were measured using self-report questionnaires. To assess the effects of time and sex on psychosocial factors, analysis of variances (ANOVAs) were conducted. The relative stability of physical activity psychosocial correlates from wave 1 through wave 2 was assessed using Pearson product-moment correlations. Results: There were significant differences according to sex across time for physical activity, psychological variables and interpersonal influences associated with exercise activities. The girls were less active than boys at both time points. Girls reported lower self-efficacy and perceived more barriers and fewer perceived benefits for physical activity over time. Interpersonal influences on activity were more stable for girls than boys. Conclusion: The results offer evidence for decreasing physical activity in boys and girls and sex differences in cognitive variables and interpersonal influences. This is important for understanding how to address the problem of physical inactivity among Iranian youth.

Effects of Long-Term Resistance Training and Detraining on Strength and Physical Activity in Older Women

2002 ◽  
Vol 10 (3) ◽  
pp. 260-270 ◽  
Author(s):  
Michelle M. Porter ◽  
Miriam E. Nelson ◽  
Maria A. Fiatarone Singh ◽  
Jennifer E. Layne ◽  
Christine M. Morganti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Resistance Training ◽  
Physical Activity Behavior ◽  
Knee Extension ◽  
Control Group ◽  
Activity Levels ◽  
Activity Behavior ◽  
Increased Strength

Resistance training (RT) increases strength in older adults, but there have been few studies of long-term RT or detraining in older adults. Postmenopausal participants (51–71 years of age) were randomized to RT or a control group for Year 1. For Year 2, participants chose whether to resistance train or not. Three groups emerged: train/train (n = 8: 60 ± 4 years), train/no train (n = 11: 62 ± 3 years), or controls (n = 17; 58 ± 6 years). Both training groups increased strength (p < .05) in Year 1. In Year 2, train/train maintained strength, whereas train/no train lost strength for knee extension (p < .001) but not for arm pulldown. Controls did not change. Reported physical activity levels were significantly increased in trainers in Year 1 and remained high regardless of RT in Year 2 (p < .05). Therefore, sustained changes in strength and physical activity behavior might be possible even if RT is discontinued.

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