Abstract

Objective: To develop a lifestyle risk scale (LRS) of health-related behaviors based on risk assessments of study participants. Method: By means of pairwise comparisons of assessed risks associated with tobacco, alcohol, obesity, fast-food, physical inactivity, and lack of sleep, each at four levels, 24 behaviors were ranked on a unidimensional risk scale. Results: Overall, use of tobacco was assigned the highest risk score (3.7), consumption of fast-food and lack of sleep the lowest (1.7, 1.6). Minor risk factors (lack of sleep and fast-food) were, at their highest levels, assigned similar risk values as major risk factors (tobacco, alcohol, obesity) at their lowest levels. Lifestyles of female participants were less hazardous than those of male participants, as measured with the LRS. In contrast, perception of behavioral health risks was more precise in men. Conclusions: The LRS provides a practical quantification to identify and compare groups with different risk behavior patterns as well as clusters of risky health behaviors in and across populations. It can also support the communication of behavioral health risks.

Highlights

  • It is generally accepted that in Western populations chronic diseases are largely due to unhealthy lifestyles [1,2]

  • The self-administered questionnaire covered three areas: sociodemographic and anthropometric variables, individual health related behaviors using four ordinal response categories, and the appraisal of 24 pairs of lifestyle risk factors. The latter were defined considering the guidelines for reducing chronic diseases [2], and study participants were asked about their risk assessment regarding tobacco and alcohol consumption, obesity, daily physical activity, weekly fast food consumption and sleeping hours, each dimension divided into four increasing degrees of risk

  • Most participants lived in Germany (77%) and did not lead risky lifestyles: 85 percent were non-smokers, 83 percent had normal weight, 71 percent drank less than one drink per day and 69 percent ate fast food less than once a week

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Summary

INTRODUCTION

It is generally accepted that in Western populations chronic diseases are largely due to unhealthy lifestyles [1,2]. The CDRI includes the body mass index (BMI) In these studies, behavioral risk factors were assigned scores relative to their epidemiological risks. In a cross national comparison between China and the United States similarities of lifestyle patterns and different unhealthy behaviors were identified with the Lifestyle Index [18] Both indices seem to solve the problem of identifying and comparing high risk groups. It would be desirable to have a unidimensional risk scale available for combinations of health-related behaviors, which could support communicating lifestyle risks in an understandable way [6] The lack of such an instrument was the motivation to develop a unidimensional risk scale for ranking behavioral risks according to their health impact. The development of the Lifestyle Risk Scale (LRS) is descrybed, as well as the risks of the study population, based on applying the scale to the reported actual behaviors

Design
Measurements
Statistical Analyses
Demographic and Lifestyle
Assessment of Risk Behaviors
Lifestyle Risk Scores and Risk
DISCUSSION
Full Text
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