Colchicine in Patients with Chronic Coronary Disease.

BACKGROUND: Evidence from a recent trial has shown that the antiinflammatory effects of colchicine reduce the risk of cardiovascular events in patients with recent myocardial infarction, but evidence of such a risk reduction in patients with chronic coronary disease is limited. METHODS: In a randomized, controlled, double-blind trial, we assigned patients with chronic coronary disease to receive 0.5 mg of colchicine once daily or matching placebo. The primary end point was a composite of cardiovascular death, spontaneous (nonprocedural) myocardial infarction, ischemic stroke, or ischemia-driven coronary revascularization. The key secondary end point was a composite of cardiovascular death, spontaneous myocardial infarction, or ischemic stroke. RESULTS: A total of 5522 patients underwent randomization; 2762 were assigned to the colchicine group and 2760 to the placebo group. The median duration of follow-up was 28.6 months. A primary end-point event occurred in 187 patients (6.8%) in the colchicine group and in 264 patients (9.6%) in the placebo group (incidence, 2.5 vs. 3.6 events per 100 person-years; hazard ratio, 0.69; 95% confidence interval [CI], 0.57 to 0.83; P<0.001). A key secondary end-point event occurred in 115 patients (4.2%) in the colchicine group and in 157 patients (5.7%) in the placebo group (incidence, 1.5 vs. 2.1 events per 100 person-years; hazard ratio, 0.72; 95% CI, 0.57 to 0.92; P = 0.007). The incidence rates of spontaneous myocardial infarction or ischemia-driven coronary revascularization (composite end point), cardiovascular death or spontaneous myocardial infarction (composite end point), ischemia-driven coronary revascularization, and spontaneous myocardial infarction were also significantly lower with colchicine than with placebo. The incidence of death from noncardiovascular causes was higher in the colchicine group than in the placebo group (incidence, 0.7 vs. 0.5 events per 100 person-years; hazard ratio, 1.51; 95% CI, 0.99 to 2.31). CONCLUSIONS: In a randomized trial involving patients with chronic coronary disease, the risk of cardiovascular events was significantly lower among those who received 0.5 mg of colchicine once daily than among those who received placebo. (Funded by the National Health Medical Research Council of Australia and others; LoDoCo2 Australian New Zealand Clinical Trials Registry number, ACTRN12614000093684.).

Impact of Cross-Sectoral Alcohol Policy on Youth Alcohol Consumption.

OBJECTIVE: Cross-sectoral alcohol policy is recommended to reduce youth alcohol consumption, but little evidence is available on its effectiveness. Therefore, we examined whether regions and municipalities in the Dutch province of Noord-Brabant with stronger cross-sectoral alcohol policy showed larger reductions in alcohol consumption among adolescents aged 12-15. METHOD: Strong regional cross-sectoral alcohol policy was defined as participation in a regional alcohol prevention program. Strong municipal cross-sectoral alcohol policy was operationalized by measures on (a) sector variety: involvement of different policy sectors, and (b) strategy variety: formulation of different policy strategies. Relevant data from policy documents were searched for on the Internet. Data on trends in alcohol consumption were extracted from the 2007 and 2011 cross-sectional Youth Health Monitor that includes a random subset of adolescents aged 12-15 (n = 15,380 in 2007 and n = 15,437 in 2011). We used multilevel regression models. RESULTS: Two of the three regions in which municipalities participated in a regional alcohol prevention program showed a larger reduction in weekly drinking than the region in which municipalities did not participate (-12.2% and -13.4% vs. -8.3%). Municipalities with strong compared to weak sector variety showed a larger increase in adolescents' age at consuming their first alcoholic drink (0.63 vs. 0.42 years). Municipalities with strong strategy variety showed a decrease (-3.8%) in heavy weekly drinking, whereas those with weak variety showed an increase (5.1%). Cross-sectoral alcohol policy did not affect trends in other alcohol outcomes. CONCLUSIONS: Our results suggest that strong cross-sectoral alcohol policy may contribute to reducing some aspects of youth alcohol consumption. Monitoring policy implementation is needed to assess the full impact.

Program completion of a web-based tailored lifestyle intervention for adults: differences between a sequential and a simultaneous approach.

BACKGROUND: Unhealthy lifestyle behaviors often co-occur and are related to chronic diseases. One effective method to change multiple lifestyle behaviors is web-based computer tailoring. Dropout from Internet interventions, however, is rather high, and it is challenging to retain participants in web-based tailored programs, especially programs targeting multiple behaviors. To date, it is unknown how much information people can handle in one session while taking part in a multiple behavior change intervention, which could be presented either sequentially (one behavior at a time) or simultaneously (all behaviors at once). OBJECTIVES: The first objective was to compare dropout rates of 2 computer-tailored interventions: a sequential and a simultaneous strategy. The second objective was to assess which personal characteristics are associated with completion rates of the 2 interventions. METHODS: Using an RCT design, demographics, health status, physical activity, vegetable consumption, fruit consumption, alcohol intake, and smoking were self-assessed through web-based questionnaires among 3473 adults, recruited through Regional Health Authorities in the Netherlands in the autumn of 2009. First, a health risk appraisal was offered, indicating whether respondents were meeting the 5 national health guidelines. Second, psychosocial determinants of the lifestyle behaviors were assessed and personal advice was provided, about one or more lifestyle behaviors. RESULTS: Our findings indicate a high non-completion rate for both types of intervention (71.0%; n = 2167), with more incompletes in the simultaneous intervention (77.1%; n = 1169) than in the sequential intervention (65.0%; n = 998). In both conditions, discontinuation was predicted by a lower age (sequential condition: OR = 1.04; P < .001; CI = 1.02-1.05; simultaneous condition: OR = 1.04; P < .001; CI = 1.02-1.05) and an unhealthy lifestyle (sequential condition: OR = 0.86; P = .01; CI = 0.76-0.97; simultaneous condition: OR = 0.49; P < .001; CI = 0.42-0.58). In the sequential intervention, being male (OR = 1.27; P = .04; CI = 1.01-1.59) also predicted dropout. When respondents failed to adhere to at least 2 of the guidelines, those receiving the simultaneous intervention were more inclined to drop out than were those receiving the sequential intervention. CONCLUSION: Possible reasons for the higher dropout rate in our simultaneous intervention may be the amount of time required and information overload. Strategies to optimize program completion as well as continued use of computer-tailored interventions should be studied. TRIAL REGISTRATION: Dutch Trial Register NTR2168.

Stages of change for moderate-intensity physical activity in deprived neighborhoods.

BACKGROUND: This article describes the association of external and psychosocial factors with the stages of change for moderate-intensity physical activity among individuals with generally low socioeconomic positions. METHODS: A self-administered questionnaire among individuals aged 18-65 years (response rate 60%, n = 2781) in deprived neighborhoods in Eindhoven, The Netherlands, was conducted in September 2000. To identify factors associated with stages of change an ordinal logistic regression model, the "Threshold of Change model (TCM)", was used to analyze the data. RESULTS: Thirty-six percent of the respondents were in the pre-action stages, 15% was in action and 49% in maintenance. Individuals who were, older, lower educated, had low health locus of control, had less knowledge of physical activity issues, and presented other risky health behaviors, were more likely to be in a lower stage of change category. A positive attitude, high self-efficacy expectations, perceiving the physical activity level of others as high, and much social support were associated with the higher stages of change categories. CONCLUSION: The distribution across the stages of change supports the need to improve physical activity behavior in these deprived neighborhoods. Interventions need to be tailored to the psychosocial, and the external factors that are likely to play a role in the behavioral change process.

Impact evaluation of a Dutch community intervention to improve health-related behaviour in deprived neighbourhoods.

This study investigates the impact of a 2-year community intervention on health-related behaviour among adults aged 18-65 years living in deprived neighbourhoods in Eindhoven, The Netherlands. The intervention is evaluated in a community intervention trial with a quasi-experimental design in a longitudinal cohort survey (n=1926 and attrition rate: 31%) using postal questionnaires. In the 2-year implementation phase, more than 40 intervention activities were planned and delivered by intersectoral neighbourhood coalitions. Outcome measures were fruit consumption, vegetable consumption, physical activity, smoking, alcohol consumption and intermediate outcomes of behaviour (i.e. attitudes, self-efficacy, awareness, knowledge and stages of change). The intervention demonstrated no evidence for an impact on vegetable consumption, physical activity, smoking and alcohol consumption and weak evidence for a small impact on (intermediate) outcomes of fruit consumption.

Stages of change for fruit and vegetable consumption in deprived neighborhoods.

This article describes the association of external and psychosocial factors on the stages of change for fruit and vegetable consumption, among 2,781 inhabitants, aged 18 to 65 years, in deprived neighborhoods (response rate 60%). To identify correlates of forward stage transition, an ordinal logistic regression model, the Threshold of Change Model (TCM), was used to analyze the data. The results indicate that men, those from Dutch origin, those with (rather) low health locus of control, those displaying risk behaviors, and those without knowledge of dietary guidelines were less likely to move from one stage to another and therefore were more likely to be in a lower stage-of-change category. The results make it possible to distinguish target groups, which should receive more attention in future health promotion campaigns, and to identify factors to be addressed in those programs.