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Objective: To evaluate the effectiveness of interventions targeting alcohol consumption, drug use and smoking for college/university students.Participants: College/University students. Methods: Studies were eligible if: (1)included students attending universities/colleges; (2)implemented in a university/college setting; (3)aimed to improve at least one of the following behaviors: alcohol and/or drug use and/or smoking; (4)were RCTs. The effect of the interventions on behaviors was determined by the percentage of studies that reported an effect. Due to the heterogeneity of outcomes meta-analysis was not conducted.Results: 88 studies met criteria. University-based interventions were effective for reducing alcohol-related outcomes (drinking patterns, BAC, consequences, problem drinking). Inconsistent findings for drug and smoking were observed. Conclusions: University-based interventions have the potential to improve health for students. While there is a breadth of research examining the efficacy of interventions to reduce alcohol consumption, further research is needed to determine the best approach for addressing smoking and drug use among students.

Objective: To explore young people's perceptions of pedometers and investigate behaviours exhibited while being monitored. Design: Qualitative design using six focus groups with participants (mean age 14.7 years). Setting: Study participants (n = 24) were randomly selected from a previous study of 123 young people aged 14-15 years from three secondary schools in New South Wales (NSW), Australia. Methods: Participants wore pedometers (Yamax CW700) and accelerometers (ActiGraph GT3X+) simultaneously for 7 days. Accelerometer output was used to categorise participants into one of six focus groups (three boys groups and three girls groups): (1) low active (<30 minutes moderate to vigorous physical activity [MVPA]/day), (2) medium active (30-60 minutes MVPA/day), and (3) high active (=60 minutes MVPA/day). Participants were questioned on their perceptions of the monitoring process and the behaviours that they exhibited while wearing pedometers. A hybrid approach to data analysis identified key concepts, which were thematically analysed. Results: The two main themes identified were (1) participants' perceptions of the monitoring process and (2) behaviour exhibited while being monitored. Overall, participants' attitudes towards objective monitoring were positive. A large proportion reported changing their levels of physical activity during the monitoring process, and 87.5% of focus group participants reported shaking their pedometers to increase their step counts. The medium and high active groups reported changing their activity patterns more than the low active groups. Conclusion: Our findings are consistent with previous quantitative studies that suggest reactivity and tampering are commonplace among young people. Pedometers may have more utility as an intervention strategy for increasing activity rather than as a method for assessing habitual activity levels.

Purpose: To examine the utility of the theory of planned behavior (TPB) for explaining physical activity (PA) intention and behavior among a large population sample of overweight and obese adolescents (Alberta, Canada), using a web-based survey. Secondary objectives were to examine the mediating effects of the TPB constructs and moderating effects of weight status. Methods: A subsample of 427 overweight and 133 obese participants ("n" = 560), completed a self-administered web-based questionnaire on health and PA behaviors, including assessment of attitude, subjective norm, perceived behavioral control (PBC), and intention to participate in regular PA. Structural equation models were examined using AMOS 17.0. Results: Overall, 62% of the variance in intention was accounted for by attitude, subjective norm, and PBC; whereas 44% of the variance in PA behavior was explained by PBC and intention. When examining the TPB separately in overweight and obese subsamples, 66% and 56% of the variance for PA intention was explained for overweight and obese subsamples, respectively; and 38% and 56% of the variance in PA behavior were accounted for in the overweight and obese subsamples. Overall, attitude was the strongest predictor of PA intention, whereas PBC was the strongest predictor for PA behavior. Intention was not predictive of PA behavior. Conclusions: These results provide partial support for the utility of TPB in explaining PA behavior in a sample of overweight and obese adolescents. In particular, strong associations regarding attitude and PBC were evident across each subsample. These findings have implications for tailoring PA programs in this population. (Contains 3 tables, 3 figures, and 1 note.)

Purpose: The aim of this study was to test the hypothesized structural paths in Bandura's social-cognitive theory (SCT) model on adolescent girls' physical activity following a 12-month physical activity and dietary intervention to prevent obesity. Method: We conducted a 12-month follow-up study of 235 adolescent girls ("M[subscript age]" = 13.2 years, "SD" = 0.4) from 12 secondary schools located in low-income communities. At baseline, participants completed SCT scales related to physical activity (i.e., self-efficacy, intention, parental support, and outcome expectations). At baseline and 12-month follow-up (postintervention), participants wore accelerometers for 7 days. Structural equation modeling was used to determine if Time 1 measures predicted physical activity at 12-month follow-up after adjusting for baseline activity. Results: The model explained 28% and 34% of the variance in physical activity and intention, respectively. Model fit indexes indicated the data were a good fit to the model; however, only self-efficacy was associated with physical activity at 12 months. There was no support for intention or outcome expectations as proximal determinants of behavior. Self-efficacy was associated with outcome expectations and parental support; however, only outcome expectations predicted intention. Conclusions: Current findings indicate a large proportion of the variance for physical activity and intention remains unexplained and that the proposed pathways in the SCT model were not fully supported. Future model testing may need to consider augmentation or integration of theoretical models, which may include ecological components if we are to advance our understanding of physical activity behavior in this subgroup of the adolescent population.

Cross-sectional studies show that self-efficacy (SE) serves as a partial mediator of the effect that perceptions of workplace environment have on self-reported workplace physical activity (PA). To further explore the role SE plays in the relationship between perceptions of the workplace environment and workplace PA, cross-sectional mediation analyses were performed on adult employees at baseline (n = 897), 6 months (n = 616), and 12 months (n = 612); a longitudinal time-sequence was incorporated into the mediation model; and correlates of residual change version of the mediation were tested. The R[superscript 2] ranged from 0.05 to 0.08 for the three cross-sectional analyses, 0.03 for the longitudinal analyses, and from 0.02 to 0.03 for the residual analyses. The results from the residual change model analyses supported those of the cross-sectional and longitudinal analyses, suggesting the relationship between perceived workplace environment and PA was partially mediated by SE. Future research should include similar studies with different population groups and in different settings. (Contains 1 table, 3 figures, and 2 notes.)

Walking is the most common type of physical activity (PA) and the likely target of efforts to increase PA. No studies, however, have identified the belief-level correlates for walking using the theory of planned behavior. This study elicits salient beliefs about walking and evaluates beliefs that may be most important for walking-promotion campaigns. A random sample of 55 Canadian adults participated in the elicitation study, and the validation study includes 358 participants who completed measures of demographics, beliefs from the elicitation study, and self-reported walking behavior. Belief--behavior relationships show that almost all behavioral expectancies are correlates of intention and behavior, but normative and control expectancies are more select correlates. But when belief--behavior relations are evaluated by participants meeting PA recommendations, only beliefs about feeling good, appearance, stress relief, and time are significant. Public health efforts to promote walking should focus on making time for regular walking and the affective advantages that walking can provide. (Contains 4 tables.)

This study explores the longitudinal and subgroup measurement properties of a 10-item, physical activity decisional balance scale, previously published by Plotnikoff, Blanchard, Hotz, and Rhodes (2001), within a diabetic sample of Canadian adults. Results indicated that a three-factor measurement model consistently improved model fit compared to the previously published two-factor model. Evidence of configural, metric, and scalar measurement invariance across time and among subgroups suggests that the 10-item decisional balance scale is appropriate for investigating associative relationships with other constructs and for comparing group means of the pros and cons subscales among a variety of diabetic population subgroups. (Contains 4 tables, 2 figures, and 3 footnotes.)

Background: Despite the benefits of physical activity (PA), a significant proportion of youth remains inactive. Studies assessing differences in the correlates of PA among urban and rural youth are scarce, and such investigations can help identify subgroups of the population that may need to be targeted for special intervention programs. The purpose of this study was to assess differences in the correlates of PA between Canadian urban and rural youth. Methods: The sample consisted of 1398 adolescents from 4 urban schools and 1290 adolescents from 4 rural schools. Mean age of the participants was 15.6 plus or minus 1.3 years. Hierarchical regression analyses were used to examine the association between self-reported PA and a number of demographic, psychological, behavioral, and social correlates. Results: Common correlates between the 2 locations included gender (with girls being less active than boys) perceptions of athletic/physical ability, self-efficacy, interest in organized group activities, use of recreation time, and friends' and siblings' frequency of participation in PA. Active commuting to school and taking a physical education class were unique correlates of PA at the multivariate level in urban and rural students, respectively. Variance explained in PA ranged from 43% for urban school students to 38% for rural school students. Conclusions: Although more similarities than discrepancies were found in the correlates of PA between the 2 geographical locations, findings from this study strengthen the policies that argue for a coordinated multisector approach to the promotion of PA in youth, which include the family, school, and community.

This study was designed to test the validity of a transtheoretical model's physical activity (PA) stage measure with intention and different intensities of behavior in a large population-based sample of adults living with diabetes (Type 1 diabetes, n = 697; Type 2 diabetes, n = 1,614) and examine different age groups. The overall "specificity" (classified correctly as inactive) for Type 1 diabetes was 69.3% based on the percentage of individuals in precontemplation, contemplation, and preparation not meeting Canada's PA guidelines. "Sensitivity" (classified correctly as active) was 82.5% based on the proportion of active participants in action and maintenance. In the Type 2 diabetes group, the overall specificity and sensitivity was 63.9% and 88.2%, respectively. No significant differences were found between the diabetes groups for stage distribution patterns, and sensitivity and specificity values. The majority of the study hypotheses related to intention and behaviors were confirmed, providing further supportive evidence for the utility of this PA staging measure for the diabetes population. (Contains 2 figures, 4 tables and 2 footnotes.)

The purpose of this study was to test a conceptual model based on theoretical and empirically supported relationships related to the influences of weight perceptions, weight concerns, desires to change weight, friends, age and location in relation to physical activity (PA) and smoking in adolescents. A total of 1242 males and 1446 females (mean age = 15.6 [plus or minus] 1.3) were recruited from rural and urban Canadian schools. Study respondents provided self-reports of PA, "smoking", "perceived body weight", "desire to change weight", "concern about weight gain" and "friends' smoking and PA behaviors". Results revealed an acceptable fitting model [chi][squared] (40) = 155.63, P less than 0.05, root mean square error of approximation = 0.047 and comparative fit index = 0.98. Large effect sizes for both genders were observed between friends' and adolescents' smoking behavior, and between perceived body weight and desire to change weight. Further, significant differences were identified between the male and female models [[chi][squared] difference (24) = 65.28, P less than 0.05]. Several findings of this study point to the need to design programs to motivate adolescent females to adopt healthy weight-control practices and to target young peoples' social networks to promote health behaviors, especially with regard to smoking. (Contains 2 figures and 2 tables.)

This study describes the development and psychometric evaluation of four scales measuring leadership for health promotion at an organizational level in the baseline survey (n = 144) of the Alberta Heart Health Project. Content validity was established through a series of focus groups and expert opinion appraisals, pilot testing of a draft based on capacity assessment instruments developed by other provinces involved in the Canadian Heart Health Initiative, and the literature. Psychometric analyses provided empirical evidence of the construct validity and reliability of the organizational leadership scales. Principal component analysis verified the unidimensionality of the leadership scales of (a) Practices for Organizational Learning, (b) Wellness Planning, (c) Workplace Climate, and (d) Organization Member Development. Scale alpha coefficients ranged between 0.79 and 0.91 thus establishing good to high scale internal consistencies. These measures can be used by both researchers and practitioners for the assessment of organizational leadership for health promotion and heart health promotion. (Contains 1 figure and 2 tables.)

Objective: The purpose of this study was to validate measures of individual and organisational infrastructure for health promotion within Alberta's (Canada) 17 Regional Health Authorities (RHAs). Design: A series of phases were conducted to develop individual and organisational scales to measure health promotion infrastructure. Instruments were designed with focus groups and then pre-tested prior to the validation study. Setting: In 1993 all hospitals and Public Health Units in the province of Alberta were regionalised into 17 RHAs, with responsibility for public health, community health, and acute and long-term care. While regionalisation may offer more opportunity for community participation, reorganisation of the public health system may have fragmented and diluted resources and skills for heart health promotion in some RHAs. Infrastructure (for example, human and financial resources), amongst other items, is believed to contribute to the capacity to promote health. Method: All 17 RHAs participated in the study, yielding a total of 144 individuals (that is board members, senior/middle management, and front line staff). These representative employees completed a self-administered questionnaire on individual- and organisational-level infrastructure measures. Results: Psychometric analyses of survey data provided empirical evidence for the robustness of the measures. Principal component analyses verified the construct validity of the scales, with alpha coefficients ranging from 0.75 to 0.95. Conclusion: The scales can be used by health professionals and researchers to assess individual- and organisational-level infrastructure, and tailor interventions to increase infrastructure for health promotion in health organisations. (Contains 4 tables.)

A socialization scale was completed by entering (n=96) and graduating (n=106) baccalaureate nursing students who used either on-campus (n=41), distance (n=15), or both methods (n=50), and 51 diploma nursing graduates. Distance education graduates scored highest; mixed-method students and diploma graduates had similar scores. Experiences and full-time employment were significantly related to scores. (SK)