Can we identify who will adhere to long-term physical activity? Signal detection methodology as a potential aid to clinical decision making.

King, Abby C.; Kiernan, Michaela; Oman, Roy F.; Kraemer, Helena C.; Hull, Louise; Ahn, David K.

doi:10.1037/0278-6133.16.4.380

Cited by 126 publications

(114 citation statements)

References 27 publications

Supporting

Mentioning

104

Contrasting

Order By: Relevance

“…Among those who dropped out, there were signifi cantly fewer with a lower level of education. These results are in accordance with those of King et al (1997), but on the whole there is little information in the literature about the association between level of education and dropout. Among the dropouts there were signifi cantly more people who had always been single and signifi cantly fewer widowed people.…”

Section: Discussionsupporting

confidence: 81%

Dropout from Exercise Programs for Seniors: A Prospective Cohort Study

Stiggelbout¹,

Hopman-Rock²,

Tak³

et al. 2005

Journal of Aging and Physical Activity

View full text Add to dashboard Cite

This study examines dropout incidence, moment of dropout, and switching behavior in organized exercise programs for seniors in the Netherlands, as determined in a prospective cohort study (with baseline measurements at the start of the exercise program and follow-up after 6 months; N = 1,725, response rate 73%). Participants were community-living individuals 50+ who participated in different forms of organized exercise programs. The average dropout incidence was 0.15 per 6 months, which is lower than that for the general population. The dropout incidence and the timing of dropout differed substantially between the exercise programs. In total, 31% of people who dropped out of one type of exercise program switched to another type of exercise. The type of program and exercise had a strong effect on differences in this switching behavior. It is recommended that switching behavior be monitored in future studies.Key Words: physical activity, health behavior, health promotion, agingThere is clear evidence of the benefi ts of exercise programs for older adults (American College of Sports Medicine, 1998). Regular physical activity has been associated with a variety of health benefi ts such as improved cardiovascular, respiratory, and muscular function and reduction of risk factors associated with chronic disease states. Exercise also plays an important role in enhancing the quality of life of older adults by improving physiological and psychological function, which helps to maintain personal independence and reduces the demand for acute-and chronic-care services (Pate, et al., 1995; U.S. Department of Health and Human Services, 1996). It is therefore important to promote exercise participation among older individuals.Dropout from exercise programs is a problem (Carmody, Senner, Malinow, & Matarazzo, 1980;Dishman, 1982;Dishman & Sallis, 1994;Oldridge, 1988) Paterson, 1998;Oldridge, 1982). The available studies generally looked at dropout data for younger adults (i.e., <50 years old), and these might not be representative for older populations (King, Blair, Bild, & Dishman, 1992). Some researchers have suggested that older adults might exercise more consistently because they are more concerned about their health and have more time to exercise than younger adults do (Lee et al., 1996;Oldridge, 1988). In contrast, other researchers have shown that, in community exercise programs, older people are no more compliant than younger people (Ecclestone et al.). Older people might also be more likely to interrupt their exercise programs because the incidence of chronic diseases increases with advancing age. Obstacles to habitual exercise can lead to lapses, defi ned as slight periods of nonparticipation in the exercise program, and ultimately to dropout. In our study, we have defi ned dropout in terms of stopping with a specifi c exercise program, rather than a cessation of all physical activity. To date, only one study (Ecclestone et al., 1998) investigated the behavior of participants in switching from one exercise program to ano...

show abstract

Section: Discussionsupporting

confidence: 81%

Dropout from Exercise Programs for Seniors: A Prospective Cohort Study

Stiggelbout¹,

Hopman-Rock²,

Tak³

et al. 2005

Journal of Aging and Physical Activity

View full text Add to dashboard Cite

show abstract

“…Not surprisingly, high in-treatment adherence predicted better posttreatment maintenance of stretching exercises (41). Consistent with the literature from nonpatient populations (25,42), high stress was the best predictor of poor maintenance of stretching, both for stress at baseline and for increases in stress during treatment. The relationship observed between stress and poor adherence to exercise may be relevant to understanding potential mechanisms by which stress may exacerbate FMrelated symptoms.…”

Section: Dobkin Et Alsupporting

confidence: 80%

Maintenance of exercise in women with fibromyalgia

Dobkin¹,

Abrahamowicz²,

Fitzcharles³

et al. 2005

Arthritis & Rheumatism

View full text Add to dashboard Cite

Objective. To identify predictors of maintenance of exercise for women with fibromyalgia (FM).Methods. Women with FM who had been randomized to the exercise arm of a clinical trial were studied prospectively during and 3 months following treatment. Subjects completed exercise logs weekly and returned the data via postal mail. Outcome variables were duration of aerobic and stretching exercises. Two separate multivariate models for longitudinal data were built with adjustment for in-treatment adherence and time. Pretreatment characteristics (self efficacy, pain, disability, stress, exercise barriers and benefits, and age) and changes during treatment (pain, disability, stress, and exercise barriers and benefits) were considered potential predictors of exercise maintenance. Results. Stretching significantly decreased in the 3 months following treatment. High stress at baseline and increases in stress during treatment were associated with poor maintenance of stretching. Disability at baseline (measured with the Fibromyalgia Impact Questionnaire), an increase in barriers to exercise during treatment, and increases in upper-body pain during treatment were associated with worse maintenance of aerobic exercise in the 3 months following treatment. Conclusion. The maintenance of an exercise program in women with FM appears to be contingent on being able to deal with stress, pain, barriers to exercise, and disability.

show abstract

“…The ineffectiveness of the interventions among the older subgroup is in agreement with the study of Wilcox et al [36], who found that the intervention effect of a telephone-and group-based intervention among older adults was more effective among the younger participants (aged 50-64). In addition, King et al found among 269 older adults aged 50-65 years that older participants were less likely to adhere to a 2-year exercise program [48]. This lower effectiveness could be explained by the fact that older participants could have more (acute) health problems or life events during the intervention, resulting in a decrease in compliance [36].…”

Section: Discussionmentioning

confidence: 99%

Exploring the Efficacy and Moderators of Two Computer-Tailored Physical Activity Interventions for Older Adults: A Randomized Controlled Trial

et al. 2010

View full text Add to dashboard Cite

Background Important health benefits can be derived when low-cost (e.g., computer-tailored) physical activity interventions for older adults demonstrate sustained effects. Purpose The purpose of the study was to conduct in-depth analysis on the long-term efficacy of two tailored physical activity interventions for older adults. Methods A randomized controlled trial (n=1,971) with two computer-tailored interventions and a no-intervention control group was conducted. The two tailored interventions consisted of three tailored letters, delivered during 4 months. The basic tailored intervention targeted psychosocial determinants alone, while the environmentally tailored intervention additionally targeted environmental determinants, by providing tailored environmental information. Selfreported behaviors (i.e., total physical activity, transport walking and cycling, leisure walking and cycling, and sports) were measured at baseline and 12 months. Additionally, potential personal, health-related, and psychosocial moderators of the intervention effects were examined. Results The environmentally tailored intervention was effective in changing total physical activity, leisure cycling, and sports compared with the basic intervention and control group. No intervention effects were found for the basic intervention. Moderation analysis revealed that participants with a higher age, lower body mass index, and higher intention were unresponsive to the interventions. Conclusions Providing environmental information is an effective intervention strategy for increasing physical activity behaviors among older adults, especially among certain "at-risk" subgroups such as lower educated, overweight, or insufficiently active participants. Moderation analysis was perceived as a promising method for identifying meaningful subgroups that are unaffected by an intervention, which should receive special attention in future interventions.

show abstract

Can we identify who will adhere to long-term physical activity? Signal detection methodology as a potential aid to clinical decision making.

Cited by 126 publications

References 27 publications

Dropout from Exercise Programs for Seniors: A Prospective Cohort Study

Dropout from Exercise Programs for Seniors: A Prospective Cohort Study

Maintenance of exercise in women with fibromyalgia

Exploring the Efficacy and Moderators of Two Computer-Tailored Physical Activity Interventions for Older Adults: A Randomized Controlled Trial

Contact Info

Product

Resources

About