Food outlet accessibility and fruit and vegetable consumption.

PURPOSE: To examine if spatial access to healthy and unhealthy outlets comprising the local food environment was associated with fruit and vegetable consumption. DESIGN: Cross-sectional. SETTING: Population-based sample residing in Hawaii. Subjects . Three hundred and eighty-four adults (36% Asian-American, 33% non-Hispanic white, 31% other/mixed race). MEASURES: A spatial model of the local food environment was constructed using radial buffers extending from participants' place of residence. Fruit and vegetable intake was estimated using the National Cancer Institute Fruit and Vegetable All-Day Screener. ANALYSIS: Mean intakes of fruits and vegetables were compared for spatial access to total, healthy, and unhealthy food outlets at distances of .5 to 3.5 km. Multiple linear regression was used to estimate differences in fruit and vegetable intake for residing further from a food outlet or for residing in an area with a greater number of food outlets. RESULTS: Residing in an area with a greater density of total or healthy food outlets was associated with a higher mean intake of fruits and vegetables (p < .05) at .5 km. No differences in mean intakes were detected for distances beyond .5 km or for regression models. CONCLUSION: Findings suggest that greater spatial accessibility to food outlets comprising the local food environment in Hawaii may not be meaningfully associated with fruit and vegetable consumption; however, associations were detected for the smallest spatial scale examined, warranting further investigation.

A Research Agenda to Examine the Efficacy and Relevance of the Transtheoretical Model for Physical Activity Behavior.

Regular physical activity (PA) decreases the risk of several chronic diseases including some cancers, type II diabetes, obesity, and cardiovascular disease; however, the majority of US adults are not meeting the recommended levels to experience these benefits. To address this public health concern, the underlying mechanisms for behavior change need to be understood, translated and disseminated into appropriately tailored interventions. The Transtheoretical Model (TTM) provides a framework for both the conceptualization and measurement of behavior change, as well as facilitating promotion strategies that are individualized and easily adapted. The purpose of this manuscript is to present the constructs of the TTM as they relate to PA behavior change. We begin with a brief synopsis of recent examinations of the TTM constructs and their application. Subsequent to its introduction, we specifically present the TTM within the PA context and discuss its application and usefulness to researchers and practitioners. Criticisms of the TTM are also noted and presented as opportunities for future research to enhance the valid application of the TTM. We offer general study design recommendations to appropriately test the hypothesized relationships within the model. With further examinations using appropriate study design and statistical analyses, we believe the TTM has the potential to advance the public health impact of future PA promotion interventions.

Investigating fruit and vegetable consumption using the transtheoretical model.

PURPOSE: Test the applicability of the transtheoretical model (TTM) to adult fruit/vegetable consumption. DESIGN: Cross-sectional random-digit dial survey. SETTING: Hawaii. SUBJECTS: 700 (62.6% female; age [mean +/- SD], 47 +/- 17.1 years; education [mean +/- SD], 14.6 +/- 2.8 years; 35.0% white, 31.1% Asian, 22.1% native Hawaiian/Pacific Islander, 11.8% other). MEASURES: Stages, processes, self-efficacy, decisional balance, and self-reported fruit/vegetable consumption. ANALYSIS: Confirmatory factor analysis tested the factor structure. Analyses of variance were used to explore stage differences in constructs. RESULTS: Stage distribution was precontemplation (33%), contemplation (4%), preparation (37%), action (3%), and maintenance (23%). A 10-factor process model with two higher-order correlated factors (experiential and behavioral) provided the best data fit (chi2 = 1446.12; df = 366; p < .0001; comparative fit index [CFI] = .89; standardized root mean square residual [SRMR] = .05). The self-efficacy structure fit the data well (chi 2 = 81.86; df = 9; p < .0001; CFI = .94; SRMR = .04), as did the decisional balance structure (chi2 = 37.42; df = 19; p = .007; CFI = .99; SRMR = .02). Processes, self-efficacy, decisional balance, and fruit/vegetable consumption behavior differed significantly by stage, with medium effect sizes for most variables. CONCLUSION: The variables revealed adequate fit to the theorized measurement models. TTM predictions regarding stage differences in self-efficacy, pros and cons, and fruit/vegetable consumption were confirmed; however, most experiential and behavioral processes increased in the early stages and then leveled off.