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mediator of increased physical activity in other groups (ie, young adolescent girls; Dishman et al, 2004) Studies reporting relationships between intentions and physical activity share the same limitations found in the studies of physical activity and self-efficacy, namely, a reliance on correlational rather than experimental designs and the use of unvalidated self-report measures of physical activity Hence, it is difficult to determine how much of the association between intentions and actual exercise behavior was an artifact of using self-report to estimate both the presumed determinant and the behavior This concern is highlighted by the observation that in five studies that assessed both past physical activity (ie, habit) and intentions for future physical activity, the correlation with current physical activity was higher for habit (mean 43) than for intention (mean 38) (Dishman, 1994a) Because habit and intention were also related in these studies (r 50 to .

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65), a substantial portion of the relationship between intention and exercise adherence observed in cross-sectional studies is reflecting past exercise habits and cannot be viewed as causing contemporary exercise Recent evidence from a prospective cohort study supports a predictive relationship between intention and physical activity in adolescents (Godin, Anderson, Lambert, & Desharnais, 2005), but other evidence suggests that this relationship declines across time (Chatzisarantis, Hagger, Biddle, & Smith, 2005) and might be explainable by self-efficacy (Hagger, Chatzisarantis, & Biddle, 2002a; Motl et al, 2002) The mean correlation (weighted for sample size) between self-reports of physical activity and intentions reported in 15 studies before 1994 was 50 (Dishman, 1994a).

health behaviors and, 54 health outcomes and, 54 55 HIV/AIDS, 232 233 immune function and, 81 pain, 57 58, 302 303, 307 psychological adaptation to disease and, 55 57 social comparison process, 57 theories of, 51 54 cognitive processing theories, 52 coping style theories, 52 53 stress and coping paradigm, 51 52 theories of coping with health risk, 53 54 women s expression of illness, 533 534 Coronary heart disease (CHD), 339, 340 352 aging and, 487, 490, 493, 494 496, 499 anger/hostility and, 341 342, 345 346 depression and, 346 347 gender and, 343 345, 529, 553, 555 high blood pressure (see Hypertension) individual characteristics and, 345 348 obesity and, 124 occupational stress and, 342 psychosocial risk factors, 340 345 race and, 343 345 social support and, 60 61, 63 64, 342 343, 349 350 socioeconomic status (SES) and, 342 343, 344, 529 stress and, 341 343, 348, 349 350 treatment, 348 352 exercise and behavioral components of cardiac rehabilitation, 348 349 interventions to increase social support and reduce life stress, 349 350 lifestyle changes, 349 352 medical/surgical, 348 modifying hostility and Type A behavior, 349 osteopathy, 593 psychosocial approaches, 349 352 Type A behavior, 345, 349 women, 514 515, 529, 536 Criminal victimization, 40 475 41, 476 Cultural aspects of health psychology, 545 considerations in study of ethnicity/SES/ gender, and health, 558 559 ethnicity (see Race/ethnicity) future directions, 558 559 gender (see Gender) occupational health psychology (case study), 581 race (see Race/ethnicity) socioeconomic status (see Socioeconomic status (SES)) stressful life events, 43 44 Cultural Deviance Model, 558 Cultural Equivalence Model, 558 Cultural Variant Model, 558 Daily Coping Inventory, 57 Daily Hassles Scale, 33 Daily Uplift Scale, 33 Dance movement therapy (DMT), 605 606 Data imputation, 496 Daytime sleepiness, 328

Figure 7-10

Expressed as a binomial effect size, this correlation suggests that an intervention that results in high intentions to be active will lead to a 75% rate of exercise adherence, compared with a 25% rate of adherence under control conditions of low intention The few controlled clinical experiments to increase intentions to exercise, however, have not led to persisting effects Also, mediated interventions in communities or population-based designs to increase intentions for other behavior changes clearly show that a much smaller increase in physical activity can be expected than the large increase implied by correlations between intentions and physical activity obtained in descriptive studies Intrinsic Factors Factors such as self-schemata and enjoyment are potentially important influences on physical activity but have been understudied The core traits of an individual s identity.

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