Chronic Health Conditions, Physical Activity and Dietary Behaviors of Bhutanese Refugees: A Houston-Based Needs Assessment

2015 ◽  
Vol 18 (6) ◽  
pp. 1423-1431 ◽  
Author(s):  
Sanghamitra M. Misra ◽  
Vishnu P. Nepal ◽  
Deborah Banerjee ◽  
Angelo P. Giardino
Keyword(s):  
Physical Activity ◽  
Needs Assessment ◽  
Chronic Health Conditions ◽  
Dietary Behaviors ◽  
Health Conditions ◽  
Chronic Health ◽  
Bhutanese Refugees

scholarly journals An integrated motivational interviewing and cognitive-behavioural intervention promoting physical activity maintenance for adults with chronic health conditions: A feasibility study

2018 ◽  
Vol 15 (4) ◽  
pp. 276-292
Author(s):  
Sarah E Scott ◽  
Jeff D Breckon ◽  
Robert J Copeland
Keyword(s):  
Physical Activity ◽  
Motivational Interviewing ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Behavioural Intervention ◽  
Chronic Health ◽  
Cognitive Behavioural ◽  
Cognitive Behavioural Intervention ◽  
Physical Activity Maintenance

Objectives Physical activity is recommended for managing chronic health conditions but is rarely maintained. This feasibility study aimed to evaluate the preliminary efficacy of a motivational interviewing and cognitive-behavioural intervention for long-term physical activity for adults with chronic health conditions. Methods Participants ( N = 37) with stable conditions (e.g. diabetes) were randomized into a three-month motivational interviewing and cognitive-behavioural group ( N = 20) or usual care ( N = 17) after completing a physical activity referral scheme. Participants completed physical activity (e.g. average steps per day and kilocalorie expenditure), psychological (e.g. self-efficacy) and epidemiological (e.g. body mass index) standardized measures at baseline, three- and six-month follow-up. Treatment fidelity and feasibility were assessed. Results Thirty-five participants completed the study (96% retention). The motivational interviewing and cognitive-behavioural group maintained kilocalorie expenditure at three ( p = 0.009) and six months ( p = 0.009). Exercise barrier self-efficacy ( p = 0.03), physical ( p = 0.02) and psychological ( p = 0.01) physical activity experiences were increased at three months only. No difference was found for average steps/day, social support, coping skills and epidemiological factors. Discussion This is the first study to demonstrate the feasibility and preliminary efficacy of motivational interviewing and cognitive-behavioural interventions for promoting physical activity maintenance in a clinical population. A large-scale trial with a longer follow-up (≥6 months) is warranted with treatment fidelity assessment.

A New Measure for Assessing the Physical Activity Behaviors of Persons with Disabilities and Chronic Health Conditions: The Physical Activity and Disability Survey

2001 ◽  
Vol 16 (1) ◽  
pp. 34-45 ◽  
Author(s):  
James H. Rimmer ◽  
Barth B. Riley ◽  
Stephen S. Rubin
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Total Activity ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Time To Exhaustion ◽  
Household Activity ◽  
Persons With Disabilities ◽  
Chronic Health

Purpose. Assess the psychometric properties of the Physical Activity and Disability Survey (PADS), a new physical activity measure for persons with disabilities and chronic health conditions. Design. Cross-sectional and pre-post designs were employed. Setting. A Midwestern university fitness center. Subjects. Participants were 103 individuals with disabilities and/or chronic health conditions. Measures. The Physical Activity and Disability Survey (PADS), peak oxygen uptake (peak VO2), maximum workload (MW), and time to exhaustion (TE) during exercise. Results. Factor analysis revealed a four-factor model that generally corresponded to PADS subscales. Cronbach alpha coefficients ranged from .67 (Exercise) to .77 (Time Indoors). Test-retest reliability (1-week interval) ranged from .78 (Time Indoors) to .95 (Leisure Time Physical Activity). Interrater reliability ranged from .92 (Household Activities) to .99 (Exercise, Leisure Time Physical Activity, Total Activity). Significant (p < .05) correlations were found between PADS subscales and absolute peak VO2 (Leisure Time Physical Activity, Household Activity, Total Activity), relative peak VO2 (Exercise, Time Indoors), MW (Time Indoors, Household Activity), and TE (Household Activity, Total Activity). Analyses of variance revealed that, unlike controls, health promotion program participants evidenced significant pre-post gains as measured by the Exercise subscale and Total Activity score. Conclusions. The findings lend support for the reliability and validity of the PADS as a measure of physical activity of groups who are sedentary and disabled.

scholarly journals Barriers Are Not the Limiting Factor to Participation in Physical Activity in Canadian Seniors

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Kristy L. Smith ◽  
Kelly Carr ◽  
Alexandra Wiseman ◽  
Kelly Calhoun ◽  
Nancy H. McNevin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Status ◽  
Health Condition ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Limiting Factor ◽  
Chronic Health ◽  
Reported Health ◽  
Self Reported Health Status

The identification of barriers to physical activity and exercise has been used for many decades to explain exercise behavior in older adults. Typically health concerns are the number one barrier to participation. Data from CCHS-HA dataset(N=20,875)were used to generate a sample of Canadians, 60+ years, who did not identify a health condition limitation, illness, or injury as a barrier to participation in physical activity(n=4,900)making this dataset unique in terms of the study of barriers to participation. While the vast majority of older adults participated in physical activity, 9.4% did not. The relationships between nonparticipation, barriers, self-reported health status, and chronic health conditions were determined using binary logistic regression. The main findings suggest that traditional barriers and self-reported health status are not responsible for nonparticipation. Nonparticipation was best predicted by chronic health conditions suggesting a disconnect between self-reported health status and underlying health conditions. The data are clear in suggesting that barriers are not the limiting factor and physical activity programming must be focused on meeting the health needs of our aging population.

scholarly journals A cluster analysis of patterns of objectively measured physical activity in Hong Kong

2012 ◽  
Vol 16 (8) ◽  
pp. 1436-1444 ◽  
Author(s):  
Paul H Lee ◽  
Ying-Ying Yu ◽  
Ian McDowell ◽  
Gabriel M Leung ◽  
TH Lam
Keyword(s):  
Physical Activity ◽  
Cluster Analysis ◽  
Hong Kong ◽  
Chronic Health Conditions ◽  
The Other ◽  
Health Conditions ◽  
Accelerometer Data ◽  
Chronic Health ◽  
Objectively Measured ◽  
Active Cluster

AbstractObjectiveThe health benefits of exercise are clear. In targeting interventions it would be valuable to know whether characteristic patterns of physical activity (PA) are associated with particular population subgroups. The present study used cluster analysis to identify characteristic hourly PA patterns measured by accelerometer.DesignCross-sectional design.SettingObjectively measured PA in Hong Kong adults.SubjectsFour-day accelerometer data were collected during 2009 to 2011 for 1714 participants in Hong Kong (mean age 44·2 years, 45·9 % male).ResultsTwo clusters were identified, one more active than the other. The ‘active cluster’ (n 480) was characterized by a routine PA pattern on weekdays and a more active and varied pattern on weekends; the other, the ‘less active cluster’ (n 1234), by a consistently low PA pattern on both weekdays and weekends with little variation from day to day. Demographic, lifestyle, PA level and health characteristics of the two clusters were compared. They differed in age, sex, smoking, income and level of PA required at work. The odds of having any chronic health conditions was lower for the active group (adjusted OR = 0·62, 95 % CI 0·46, 0·84) but the two groups did not differ in terms of specific chronic health conditions or obesity.ConclusionsImplications are drawn for targeting exercise promotion programmes at the population level.

Motivational interviewing to increase physical activity in people with chronic health conditions: a systematic review and meta-analysis

2014 ◽  
Vol 28 (12) ◽  
pp. 1159-1171 ◽  
Author(s):  
Paul D O’Halloran ◽  
Felicity Blackstock ◽  
Nora Shields ◽  
Anne Holland ◽  
Ross Iles ◽  
...  
Keyword(s):  
Physical Activity ◽  
Motivational Interviewing ◽  
Exercise Capacity ◽  
Cardiorespiratory Fitness ◽  
Meta Analysis ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Chronic Health ◽  
Functional Exercise ◽  
Functional Exercise Capacity

Objective: A systematic review and meta-analysis of randomized controlled trials to determine if motivational interviewing leads to increased physical activity, cardiorespiratory fitness or functional exercise capacity in people with chronic health conditions. Data sources: Seven electronic databases (MEDLINE, PsychINFO, EMBASE, AMED, CINHAL, SPORTDiscus and the Cochrane Central Register of Controlled trials) were searched from inception until January 2014. Trial selection: Two reviewers independently examined publications for inclusion. Trials were included if participants were adults (>18 years), had a chronic health condition, used motivational interviewing as the intervention and examined physical activity, cardiorespiratory fitness or functional exercise capacity. Data extraction: Two reviewers independently extracted data. Risk of bias within trials was assessed using the Physiotherapy Evidence Database Scale. Data synthesis: Meta-analyses were conducted with standardized mean differences and 95% confidence intervals (CIs) were calculated. The Grades of Recommendation, Assessment, Development and Evaluation approach was used to evaluate the quality of the evidence. Results: Eleven publications (of ten trials) were included. There was moderate level evidence that motivational interviewing had a small effect in increasing physical activity levels in people with chronic health conditions relative to comparison groups (standardized mean differences = 0.19, 95% CI 0.06 to 0.32, p = 0.004). Sensitivity analysis based on trials that confirmed treatment fidelity produced a larger effect. No conclusive evidence was observed for cardiorespiratory fitness or functional exercise capacity. Conclusion: The addition of motivational interviewing to usual care may lead to modest improvements in physical activity for people with chronic health conditions.

scholarly journals Associations of Multiple Chronic Health Conditions with Health Behavior

2020 ◽  
Vol 8 (7) ◽  
pp. 1-21
Author(s):  
Chong-Hwan Son
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
The United States ◽  
Physical Activities ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Chronic Health ◽  
Physical Activity Guidelines ◽  
Muscle Strengthening ◽  
Insufficient Physical Activity

This study aimed to scrutinize the association of the number of chronic health conditions with health behavior. The health behavior was measured by meeting the 2008 Physical Activity Guidelines (PAGs) for Americans for five physical activity levels for adults aged 18 years or older in the United States using data from the 2017 Behavioral Risk Factor Surveillance System (BRFSS). The empirical results of a multivariate logistic regression analysis revealed that respondents living with chronic health conditions were more likely to participate in aerobic physical activities, but not meeting the PAGs. In the insufficient physical activity subgroup, all of the predicted odds ratios were greater than one and increased as the number of chronic health conditions increased. It implied that the increase in the number of chronic conditions was positively associated with participating in insufficient physical activity. Respondents who reported having less than three chronic health conditions were more likely to meet the aerobic physical activity guidelines compared with respondents living with three or more chronic health conditions. Importantly, respondents who reported having 4 or more chronic health conditions had a higher likelihood of meeting the recommendations for muscle-strengthening activity. However, chronic health conditions would significantly discourage respondents from participating in both aerobic and muscle-strengthening physical activities. In conclusion, this study found that chronic health conditions played an important role in determining regular participation in the level of physical activity for individuals living with chronic health conditions.

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