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PP-HF13 Health and Fitness 13<br />

Methods: The commuters volunteered to participate in the study after being contacted through advertisements in two morning newspapers<br />

in Stockholm. A questionnaire was sent to 1950 persons. The response frequency was 93 %. 335 <strong>of</strong> the respondents walked in the<br />

inner urban area <strong>of</strong> Stockholm and constitute the basis for this study. The variables studied were exhaust fumes, noise, flow and velocities<br />

<strong>of</strong> motorized vehicles, respectively, congestion <strong>of</strong> pedestrians, incidence <strong>of</strong> conflicts between the individual and other road-users<br />

(including pedestrians), the extent <strong>of</strong> green elements, aesthetics, number <strong>of</strong> red lights, and the perceived distance. Semantic differential<br />

15-point scales for responding were used. Whether the ratings <strong>of</strong> the environmental variables could explain to what extent the overall<br />

route environment stimulated or inhibited their commuting was tested with multiple stepwise regression analysis.<br />

Results: The following variables were statistically significant in explaining variations in the ratings <strong>of</strong> whether the overall route environment<br />

stimulated or inhibited the respondents commuting: 1) aesthetics, 2) noise 3) green elements (nature, parks, trees, plantings). The<br />

multiple regression analysis built a regression equation <strong>of</strong> the form: Y = 5.78 + 0.52 x aesthetics – 0.18 x noise + 0.12 x green elements.<br />

The perceived levels <strong>of</strong> green elements correlated significantly with aesthetics (r=0.496).<br />

Discussion/Conclusion: The present findings point to the importance <strong>of</strong> different environmental variables in stimulating/inhibiting bicycling<br />

commuting in urban areas. The fact that there was a strong correlation between green elements and aesthetics indicate that, to a<br />

great extent, green element may constitute the dimension <strong>of</strong> perceived aesthetics. In such case, green elements can be seen as a major<br />

pull factor for being physical active in this context.<br />

LIFESTYLE AND HEALTH BEHAVIOURS OF UNIVERSITY STUDENTS<br />

AL-NAKEEB, Y., DODD, L., NEVILL, A.<br />

NEWMAN UNIVERSITY COLLEGE<br />

Introduction: The onset <strong>of</strong> unhealthy behaviour is usually rooted during adolescence and young adulthood. The causes <strong>of</strong> premature<br />

morbidity and mortality are frequently attributed to risk behaviours such as inactivity, smoking, excessive drinking and unhealthy diet<br />

(Mokdad et al., 2004; World Health Organisation, 2002). It has been reported globally that university students engage in such behaviour<br />

(Steptoe et al., 2002). This study was designed to explore the prevalence and association <strong>of</strong> multiple risk behaviours among university<br />

students.<br />

Methods: A total <strong>of</strong> 410 university students (mean age 22.8+5.8 years) from central England participated in a voluntary and anonymous<br />

survey in 2008. The study assessed students’ actual health behaviours and perceptions regarding physical activity (PA), body satisfaction,<br />

smoking, illicit drug use, binge drinking, eating habits as well as socio-demographic variables.<br />

Results: The prevalence <strong>of</strong> risk behaviours was high; over 81.7% did not exercise sufficiently, 66.3% ate less than five servings <strong>of</strong> fruits and<br />

vegetables, 56.9% reported binge drinking, 35% were regular or occasional smokers and 22% reported illicit drug taking. Based on Body<br />

Mass Index, a third <strong>of</strong> all students were classified as overweight or obese with half <strong>of</strong> the females and a third <strong>of</strong> the males reporting body<br />

dissatisfaction. Strong associations were evident between risk behaviours <strong>of</strong> inactivity, binge drinking, smoking and fatty diet. Generally,<br />

females showed slightly more positive patterns <strong>of</strong> behaviour than males and there were significant gender differences on binge drinking<br />

(Chi-Square=20.5; P

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