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Can psychosocial factors predict adh...

Linfante, Allison Hope.

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Can psychosocial factors predict adherence to secondary prevention lifestyle goals among women with coronary heart disease?

Record Type:	Electronic resources : Monograph/item
Title/Author:	Can psychosocial factors predict adherence to secondary prevention lifestyle goals among women with coronary heart disease?/
Author:	Linfante, Allison Hope.
Description:	135 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-06, Section: A, page: 2105.
Contained By:	Dissertation Abstracts International65-06A.
Subject:	Education, Health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3135358
ISBN:	0496825828

Can psychosocial factors predict adherence to secondary prevention lifestyle goals among women with coronary heart disease?
Linfante, Allison Hope.

Can psychosocial factors predict adherence to secondary prevention lifestyle goals among women with coronary heart disease? - 135 p.

Source: Dissertation Abstracts International, Volume: 65-06, Section: A, page: 2105.

Thesis (Ed.D.)--Columbia University Teachers College, 2004.

The American Heart Association has established goals to prevent recurrent coronary heart disease (CHD). Although data on efficacy of prevention goals exist, predictors of adherence to lifestyle goals are poorly defined. The purpose of this study was to assess the prevalence of 2 social support variables, assess if depressive symptoms, anger, or social support predict lifestyle goal adherence, and evaluate the prevalence and impact of comorbidities on lifestyle goal adherence among women with CHD. Baseline, 6-week, and 6-month data on 304 women (mean age 62 years, 52% minorities) with CHD who participated in a randomized multicenter clinical trial testing a systems approach to secondary prevention were selected for post hoc analysis. Demographic and behavioral risk factors were evaluated by interviewer-assisted standardized questionnaires. Carbon monoxide levels validated smoking status. Trained health educators measured physiological data systematically. Lifestyle goal adherence was defined as: (1) nonsmoking, (2) body mass index between 18.5--24.9 kg/m2 and waist circumference <35 inches, and (3) exercise ≥3 days/week, 30 minutes/day. Among the sample, 23% rated satisfaction with support network as poor/moderate and 34% reported having <3 good friends. Treatment group assignment was not associated with these factors. Prevalence of psychosocial factors remained consistent over 6 months, with modest increases in all at 6 weeks. Assignment to usual care was associated with increased depressive symptoms at 6 weeks (OR = 6.00, p = 0.001) and decreased social support at 6 months (OR = 0.29, p = 0.018). Depressive symptoms, anger, social isolation and number of good friends were not significant predictors of lifestyle goal adherence. Satisfaction with support network was a predictor of smoking adherence, with subjects less satisfied more likely to be smoking at 6 months (OR = 2.865, p = 0.019). Overall, 80% of the sample had ≥1 comorbidity and comorbidity was a significant predictor of non-adherence to the exercise (OR = 0.348, p = 0.004) and weight management goal (OR = 0.283, p = 0.006). These data document sub-optimal lifestyle risk factor adherence and high prevalence of psychosocial factors among women with CHD. Subjects with poor social support and numerous comorbidities may be at heightened risk of non-adherence suggesting the need for interventions targeted to these sub-populations.

ISBN: 0496825828Subjects--Topical Terms:

1017668
Education, Health.

Can psychosocial factors predict adherence to secondary prevention lifestyle goals among women with coronary heart disease?
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520 $a The American Heart Association has established goals to prevent recurrent coronary heart disease (CHD). Although data on efficacy of prevention goals exist, predictors of adherence to lifestyle goals are poorly defined. The purpose of this study was to assess the prevalence of 2 social support variables, assess if depressive symptoms, anger, or social support predict lifestyle goal adherence, and evaluate the prevalence and impact of comorbidities on lifestyle goal adherence among women with CHD. Baseline, 6-week, and 6-month data on 304 women (mean age 62 years, 52% minorities) with CHD who participated in a randomized multicenter clinical trial testing a systems approach to secondary prevention were selected for post hoc analysis. Demographic and behavioral risk factors were evaluated by interviewer-assisted standardized questionnaires. Carbon monoxide levels validated smoking status. Trained health educators measured physiological data systematically. Lifestyle goal adherence was defined as: (1) nonsmoking, (2) body mass index between 18.5--24.9 kg/m2 and waist circumference <35 inches, and (3) exercise ≥3 days/week, 30 minutes/day. Among the sample, 23% rated satisfaction with support network as poor/moderate and 34% reported having <3 good friends. Treatment group assignment was not associated with these factors. Prevalence of psychosocial factors remained consistent over 6 months, with modest increases in all at 6 weeks. Assignment to usual care was associated with increased depressive symptoms at 6 weeks (OR = 6.00, p = 0.001) and decreased social support at 6 months (OR = 0.29, p = 0.018). Depressive symptoms, anger, social isolation and number of good friends were not significant predictors of lifestyle goal adherence. Satisfaction with support network was a predictor of smoking adherence, with subjects less satisfied more likely to be smoking at 6 months (OR = 2.865, p = 0.019). Overall, 80% of the sample had ≥1 comorbidity and comorbidity was a significant predictor of non-adherence to the exercise (OR = 0.348, p = 0.004) and weight management goal (OR = 0.283, p = 0.006). These data document sub-optimal lifestyle risk factor adherence and high prevalence of psychosocial factors among women with CHD. Subjects with poor social support and numerous comorbidities may be at heightened risk of non-adherence suggesting the need for interventions targeted to these sub-populations.
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