Math J. J. M. Candel

CONSUMERS CONVENIENCE ORIENTATION TOWARDS MEAL PREPARATION: CONCEPTUALIZATION AND MEASUREMENT

Consumer researchers consider convenience orientation towards meal preparation to be a relevant construct for understanding consumer behavior towards foods. This study set out to conceptualize this construct and to develop a scale that measures it. As examined in two different samples of meal preparers, the resulting scale is reliable, satisfies a unifactorial structure and has satisfactory convergent validity. The scales nomological validity is supported in that it conforms to expectations regarding various psychographic constructs and various food-related behaviors. Convenience orientation was found to be negatively related to cooking enjoyment, involvement with food products and variety seeking, and to be positively related to role overload. The analyses also suggest that the lack of relation between the meal preparers working status and convenience food consumption, as found in many studies, is due to convenience food not offering enough preparation convenience. Consuming take-away meals and eating in restaurants appear to satisfy the consumers need for convenience more adequately.

Challenges to the peer influence paradigm: results for 12–13 year olds from six European countries from the European Smoking Prevention Framework Approach study

Objective: To examine whether smoking onset in young adolescents is predicted by peer or parental smoking. Design: Longitudinal design with one pretest and one follow-up at 12 months. Setting: Schools in Finland, Denmark, the Netherlands, the United Kingdom, Spain and Portugal. Participants: 7102 randomly selected adolescents from six countries. Mean age was 12.78 years. Main outcome measures: Smoking behaviour of adolescents, peers and parents. Results: No support was found for peer smoking as an important predictor of smoking onset in most countries. Support was found for the selection paradigm, implying that adolescents choose friends with similar smoking behaviour. Support for the impact of parents on adolescent behaviour and the choice of friends was also found. Conclusions: Smoking uptake in this age cohort may be more strongly influenced by personal and parental influences than initially believed. Hence, social inoculation programmes teaching youngsters to resist the pressures to smoke may be less appropriate if youngsters have a positive attitude towards smoking, associate smoking with various advantages and look for peers with similar values. For this group attitudes towards smoking may thus guide future friend selection.

Explaining school children's fruit and vegetable consumption : The contributions of availability, accessibility, exposure, parental consumption and habit in addition to psychosocial factors

We studied the contributions of parental fruit and vegetable (F&V) consumption, availability and accessibility of F&V in the home, exposure to F&V, and habit, in addition to psychosocial factors, in explaining F&V consumption in 4-12-year-old children. Furthermore, we looked for effect modification by ethnicity and gender. Childrens parents (n = 1739) completed a questionnaire assessing psychosocial and additional factors regarding their childrens F&V consumption. Consumption was assessed by a food-frequency questionnaire. The model explained the childrens F&V consumption better when the additional factors were included (R2 = .49 and R2 = .50 for fruit consumption, and R2 = .33 and R2 = .33 for vegetable consumption). Stepwise multi-level regression analyses revealed that habit was the most influential correlate of F&V consumption. It is concluded that nutrition education interventions aimed at stimulating F&V consumption among children should take into account that the consumption of fruit and that of vegetables are clearly different behaviors, with different influencing factors for boys and girls and children of native or non-native background. Furthermore, interventions to increase F&V consumption should include strategies aimed at making these behaviors habitual.

Interaction Between Physical Environment, Social Environment, and Child Characteristics in Determining Physical Activity at Child Care

OBJECTIVE To investigate the association between the child-care environment and physical activity of 2- and 3-year-olds. Based on an ecological view of environmental influences on health behavior, we hypothesized that the social and physical environment, as well as child characteristics (age and gender), would show independent and interactive effects on childrens physical activity intensity. DESIGN Observations of physical activity intensity were performed among children (N = 175) at 9 Dutch child-care centers. Aspects of the child-care environment were assessed using the validated Environment and Policy Assessment and Observation (EPAO) Instrument. Multilevel linear regression analyses examined the association of environment and child characteristics with childrens activity intensity. Moderation was tested by including interaction terms in the analyses, with subsequent post hoc analyses for significant interaction terms. MAIN OUTCOME MEASURE Observed child physical activity intensity, measured with the Observational System for Recording Physical Activity in Children-Preschool Version. RESULTS A large proportion of the observed activities were classified as sedentary, while far fewer observations were classified as moderate or vigorous. Activity opportunities in the physical environment (assessed using EPAO) and prompts by staff and peers were significantly and positively related to physical activity intensity, while group size was negatively related to activity intensity. The influence of the physical environment was moderated by social environment (peer group size), while the social environment in turn interacted with child characteristics (age and gender) in determining activity intensity. CONCLUSION Our findings are in line with the ecological perspective regarding environmental influences on behavior, and stress the importance of incorporating the child-care environment in efforts to prevent childhood overweight and obesity.

Utilities of the EQ-5D: transferable or not?

BackgroundWithin the framework of economic evaluations, the transferability of utility scores between jurisdictions remains unclear. The EQ-5D is a generic instrument for measuring health-related quality of life in economic evaluations, which can be used for comparing utility scores across countries. At present, the EQ-5D has several national value sets or tariffs. Nevertheless, utility estimates from foreign studies are often used directly for cost-effectiveness estimates, without adapting by applying the appropriate national value set. It is unclear if this practice is advisable, due to dissimilarities between the national value sets.ObjectiveTo examine the effects of differences in national EQ-5D value sets on absolute and marginal utilities of health states, and determine to what degree these differences can be explained by methodological factors.MethodsFirst, the relative importance of the EQ-5D domains for the utility estimates was compared across the 15 value sets. Second, two hypothetical health states for a depressed patient and a pain patient (21232 and 33321) were selected for additional analysis, by comparing the utilities as scored by the value sets. The marginal influence of a one-level deterioration in a domain of these health states on the utility estimate was then determined. Third, the differences between the value sets were examined in more detail by using multilevel analysis to examine the role of methodological differences in the valuation studies.ResultsDifferences can be perceived between the national value sets of the EQ-5D in the preferences for the domains. The utilities of the two hypothetical health states show that the value sets differ substantially. Furthermore, the differences between the marginal values of the deteriorations are large, which can be explained partly by the type of valuation method. Other methodological differences also influence the value sets.ConclusionAll results indicate that the differences between the EQ-5D value sets are considerable and should not be ignored. The differences can largely be explained by methodological differences in the valuation studies. The remaining differences may reflect cultural dissimilarities between countries. Therefore, further research should focus on investigating the transferability of utilities across countries or agreeing on a standard to perform valuation studies. For the time being, transferring utilities from one country to another without any adjustment is not advisable.

Preventing Smoking Relapse via Web-Based Computer-Tailored Feedback: A Randomized Controlled Trial

Background Web-based computer-tailored approaches have the potential to be successful in supporting smoking cessation. However, the potential effects of such approaches for relapse prevention and the value of incorporating action planning strategies to effectively prevent smoking relapse have not been fully explored. The Stay Quit for You (SQ4U) study compared two Web-based computer-tailored smoking relapse prevention programs with different types of planning strategies versus a control group. Objectives To assess the efficacy of two Web-based computer-tailored programs in preventing smoking relapse compared with a control group. The action planning (AP) program provided tailored feedback at baseline and invited respondents to do 6 preparatory and coping planning assignments (the first 3 assignments prior to quit date and the final 3 assignments after quit date). The action planning plus (AP+) program was an extended version of the AP program that also provided tailored feedback at 11 time points after the quit attempt. Respondents in the control group only filled out questionnaires. The study also assessed possible dose–response relationships between abstinence and adherence to the programs. Methods The study was a randomized controlled trial with three conditions: the control group, the AP program, and the AP+ program. Respondents were daily smokers (N = 2031), aged 18 to 65 years, who were motivated and willing to quit smoking within 1 month. The primary outcome was self-reported continued abstinence 12 months after baseline. Logistic regression analyses were conducted using three samples: (1) all respondents as randomly assigned, (2) a modified sample that excluded respondents who did not make a quit attempt in conformance with the program protocol, and (3) a minimum dose sample that also excluded respondents who did not adhere to at least one of the intervention elements. Observed case analyses and conservative analyses were conducted. Results In the observed case analysis of the randomized sample, abstinence rates were 22% (45/202) in the control group versus 33% (63/190) in the AP program and 31% (53/174) in the AP+ program. The AP program (odds ratio 1.95, P = .005) and the AP+ program (odds ratio 1.61, P = .049) were significantly more effective than the control condition. Abstinence rates and effects differed per sample. Finally, the results suggest a dose–response relationship between abstinence and the number of program elements completed by the respondents. Conclusion Despite the differences in results caused by the variation in our analysis approaches, we can conclude that Web-based computer-tailored programs combined with planning strategy assignments and feedback after the quit attempt can be effective in preventing relapse 12 months after baseline. However, adherence to the intervention seems critical for effectiveness. Finally, our results also suggest that more research is needed to assess the optimum intervention dose. Trial Registration Dutch Trial Register: NTR1892; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1892 (Archived by WebCite at http://www.webcitation.org/693S6uuPM)

Effects of a Web-Based Tailored Multiple-Lifestyle Intervention for Adults: A Two-Year Randomized Controlled Trial Comparing Sequential and Simultaneous Delivery Modes

Background Web-based computer-tailored interventions for multiple health behaviors can have a significant public health impact. Yet, few randomized controlled trials have tested this assumption. Objective The objective of this paper was to test the effects of a sequential and simultaneous Web-based tailored intervention on multiple lifestyle behaviors. Methods A randomized controlled trial was conducted with 3 tailoring conditions (ie, sequential, simultaneous, and control conditions) in the Netherlands in 2009-2012. Follow-up measurements took place after 12 and 24 months. The intervention content was based on the I-Change model. In a health risk appraisal, all respondents (N=5055) received feedback on their lifestyle behaviors that indicated whether they complied with the Dutch guidelines for physical activity, vegetable consumption, fruit consumption, alcohol intake, and smoking. Participants in the sequential (n=1736) and simultaneous (n=1638) conditions received tailored motivational feedback to change unhealthy behaviors one at a time (sequential) or all at the same time (simultaneous). Mixed model analyses were performed as primary analyses; regression analyses were done as sensitivity analyses. An overall risk score was used as outcome measure, then effects on the 5 individual lifestyle behaviors were assessed and a process evaluation was performed regarding exposure to and appreciation of the intervention. Results Both tailoring strategies were associated with small self-reported behavioral changes. The sequential condition had the most significant effects compared to the control condition after 12 months (T1, effect size=0.28). After 24 months (T2), the simultaneous condition was most effective (effect size=0.18). All 5 individual lifestyle behaviors changed over time, but few effects differed significantly between the conditions. At both follow-ups, the sequential condition had significant changes in smoking abstinence compared to the simultaneous condition (T1 effect size=0.31; T2 effect size=0.41). The sequential condition was more effective in decreasing alcohol consumption than the control condition at 24 months (effect size=0.27). Change was predicted by the amount of exposure to the intervention (total visiting time: beta=–.06; P=.01; total number of visits: beta=–.11; P<.001). Both interventions were appreciated well by respondents without significant differences between conditions. Conclusions Although evidence was found for the effectiveness of both programs, no simple conclusive finding could be drawn about which intervention mode was more effective. The best kind of intervention may depend on the behavior that is targeted or on personal preferences and motivation. Further research is needed to identify moderators of intervention effectiveness. The results need to be interpreted in view of the high and selective dropout rates, multiple comparisons, and modest effect sizes. However, a large number of people were reached at low cost and behavioral change was achieved after 2 years. Trial Registration Nederlands Trial Register: NTR 2168; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2168 (Archived by WebCite at http://www.webcitation.org/6MbUqttYB).

Systematic prevention of overweight and obesity in adults: a qualitative and quantitative literature analysis

To date, most interventions aimed at preventing obesity have underemphasized the application of systematic intervention development, implementation and evaluation. The present review provides a thorough insight in factors promoting implementation and/or effectiveness in interventions aimed at preventing overweight/obesity among adults. A total of 46 studies evaluating interventions aimed at preventing obesity were reviewed, followed by both qualitative and quantitative analyses. The Intervention Mapping protocol and the Environmental Research framework for weight Gain prevention (EnRG) were applied to analyse and classify the included studies. The interventions were categorized by setting (workplace, community, health care) and target group (ethnic minorities, pregnant women, [pre]menopausal women, smokers, people with intellectual disabilities). Generally, interventions were found to have potential in changing energy balance‐related behaviours and anthropometric outcomes. Effect sizes for changes in body mass index ranged between −0.09 and 0.45. When the programme goal specifically aimed at weight management, the intervention was found to be more successful than interventions with programme goals that were aimed at preventing cardiovascular disease or improving general health status. Although a considerable part of studies included motivational interventions, only some actually assessed the effects on potential cognitive mediators. A general lack of reporting underlying theoretical models for behaviour change was observed as well as the inclusion of linkage groups and strategies to promote empowerment.

Effect evaluation of a Motivational Interviewing based counselling strategy in diabetes care.

AIM The present study assessed the effects of a Motivational Interviewing (MI) based counselling training for nurses on clinical, behavioural and process outcomes among diabetes type 2 patients. METHODS The study is an RCT with follow-up measurements after 12 and 24 months. Thirty-three nurses and 584 patients participated. Nurses in the experimental condition received the training; control group nurses were trained after the study. The training consisted of two training sessions, two follow-up meetings, written feedback and three direct feedback sessions. Basic MI-principles and techniques and an MI-based counselling protocol were addressed. RESULTS Results indicated disadvantageous effects on fat intake and HDL and advantageous effects on chance locus of control and knowledge. No effects were found on vegetable or fruit intake, physical activity, HbA1c, weight, blood pressure, total cholesterol, LDL, triglycerides, health care climate, quality of life or on self-efficacy. CONCLUSIONS As in other MI studies, mixed results were found. It would be premature to recommend dissemination of MI in diabetes care. More studies are needed in real-world settings with health care professionals of the field instead of intensively trained MI interventionists. Knowledge should be gained about adequate training and factors contributing to the implementation of MI in daily practice.

Reliability of treadmill testing in peripheral arterial disease: a meta-regression analysis.

OBJECTIVE A meta-regression analysis was conducted to identify the most reliable treadmill protocol for the assessment of patients with peripheral arterial disease (PAD). BACKGROUND Treadmill testing is the main assessment method to evaluate walking ability in patients with PAD in clinical studies. Reported treadmill protocols are continuous (C) and graded (G) protocols and outcome measurements are initial claudication distance (ICD) and absolute claudication distance (ACD). Variety in protocols might hamper the ability to compare results of different studies. Ideally, future studies should use a protocol with highest reliability. METHODS We searched PubMed and EMBASE (until February 2008) and we hand searched the reference lists. Trials assessing reliability of treadmill testing were identified. Inclusion criteria were the use of a C- or G-protocol, repetition of this protocol, and a retrievable intraclass correlation coefficient (ICC). We identified eight studies in which 658 patients were included. RESULTS For ICD, the estimated reliabilities of the C- and G-protocol (as assessed by the ICC) were 0.85 (95% confidence interval [CI]: 0.82-0.88) and 0.83 (95% CI: 0.80-0.85), respectively, without dependency of the reliability on velocity or grade. For ACD, the reliability was significantly better for the G-protocol (0.95, 95% CI: 0.94-0.96) than for the C-protocol. Moreover, the reliability of the C-protocol was dependent on grade of the treadmill (0%, 10%, and 12%) with a mean ICC of 0.76 (95% CI: 0.54-0.88), 0.89 (95% CI: 0.86-0.91), and 0.91 (95% CI 0.88-0.92), respectively. CONCLUSION Treadmill assessment has the highest reliability when using a G-protocol together with the ACD as the primary outcome measure.