26, 845–854 (1997) PM970224 PREVENTIVE MEDICINE ARTICLE NO. Leisure-Time Physical Exercise: Prevalence, Attitudinal Correlates, and Behavioral Correlates among Young Europeans from 21 Countries Andrew Steptoe, D.Sc.,*,1 Jane Wardle, Ph.D.,* Raymond Fuller, Ph.D.,† Arne Holte, Ph.D.,‡ Joao Justo, Ph.D.,§ Robbert Sanderman, Ph.D.,¶ and Lars Wichstrøm, Ph.D.\ *University of London, London, United Kingdom; †Trinity College, Dublin, Republic of Ireland; ‡University of Tromsø, Tromsø, Norway; §University of Lisbon, Lisbon, Portúgal; ¶University of Groningen, Groningen, The Netherlands; and \Norwegian University of Science and Technology, Norway Background. Increasing leisure time physical exercise is a major target of public health programs throughout the developed world, but few international comparisons of exercise habits among people from diverse cultures have been published. The objectives of this study were to assess the prevalence of exercise among young adults from 21 European countries, to analyze associations with health beliefs and risk awareness, and to investigate relationships among exercise, other health-related behaviors, and emotional well-being. Methods. The European Health and Behaviour Survey, a questionnaire survey of 7,302 male and 9,181 female university students ages 18–30 years from 21 countries, was analyzed. Results. Age-adjusted prevalence of physical exercise in the past 2 weeks averaged 73.2% among men and 68.3% among women, but varied markedly from more than 80% to less than 60% across country samples. Beliefs in the health benefits of exercise were consistently associated with physical exercise, as was desire to lose weight. Awareness of the influence of exercise on heart disease averaged 52% among men and 54% among women, but was not strongly associated with engagement in exercise. Associations among exercise, lack of smoking, and sleep time were observed, but results for alcohol consumption were inconsistent. Social support and depression were independently associated with physical exercise. Conclusions. Physical exercise levels are highly variable across samples of relatively privileged young Europeans from different countries. Associations with other health behaviors and with emotional well-being suggest that regular physical exercise is consistent with a healthy lifestyle. Links with health beliefs are consistent despite sociocultural differences, but defi- 1 To whom correspondence should be addressed at Department of Psychology, St. George’s Hospital Medical School, University of London, Cranmer Terrace, London SW17 ORE, UK. Fax: (44) 181 767 2741. cient knowledge of the health consequences of a sedentary lifestyle remains a cause for concern. © 1997 Academic Press Key Words: physical exercise; health beliefs; health behavior; depression; social support. INTRODUCTION Lack of physical activity increases risk of coronary heart disease [1] and other diseases of major socioeconomic impact [2]. The low prevalence of regular leisure time physical exercise is a cause for concern in many countries, and encouragement of more active lifestyles is an important component of both national and international public health recommendations [3,4]. There have been few international studies of leisure time physical exercise. Data collected through surveys in individual countries are difficult to compare because of varying time frames and methods of assessment. This paper describes results from a survey in which young European students from 21 countries were questioned about physical activity using identical methods. We assessed the prevalence of leisure time physical exercise over previous 2 weeks in well-educated young adults across Europe. Gender differences have frequently been reported, with young men exercising more than young women [5], but it is not known whether this pattern is maintained across cultures. Since physical activity is negatively associated with perceived health status [6], the impact of persistent health problems was also analyzed. Three supplementary issues were investigated. The first concerns the associations among exercise, health beliefs, and risk awareness. Regular physical activity is positively correlated with the perceived health benefits of exercise in some [7] but not all studies [8]. Risk awareness, operationalized here as knowledge of the influence of exercise on coronary heart disease, is considered a prerequisite of behavior change in many models of health promotion and disease prevention [9]. International studies provide a unique opportunity to 845 0091-7435/97 $25.00 Copyright © 1997 by Academic Press All rights of reproduction in any form reserved. 846 STEPTOE ET AL. assess the robustness of associations between these cognitive factors and exercise in different sociocultural contexts. The second objective was to study the relationship between exercise and other health-related behaviors. The evidence concerning associations with smoking, alcohol consumption, and sleep patterns is inconclusive [10,11], and the extent to which active people engage in other health behaviors in different cultural settings is not known. Body weight and the desire to lose weight may also be influential, so they were assessed in this study. Finally, we studied the associations among exercise, perceived social support, and depressed mood. Regular physical activity is thought to have a positive impact on psychological well-being [12] and is negatively associated with depression [13]. Social support is also protective of depression and is positively related to adherence to physical activity programs [14]. The issue of whether associations between physical exercise and depression are independent of social support was therefore studied in a subsample of the cohort. METHOD These analyses were based on data from the European Health and Behavior Survey, a study of health behaviors and health beliefs among college students from 21 European countries carried out between 1989 and 1992 and supported by the Medical and Health Research Program of the European Commission [15]. The survey instrument has been described elsewhere [16], and only details relevant to the present report will be presented. Data were collected from 7,302 men and 9,181 women ages 18–30 studying non-health-related courses at universities in the countries listed in Table 1. Data collection was based on a common assessment protocol that was translated and back-translated into 15 languages, with a standard scoring and data management system. Questionnaires were typically completed in classes, although in some countries (France, The Netherlands, Sweden) postal surveys and individual recruitment were involved. Administration of the questionnaire in classes allowed failures of completion to be counted, and response rates varied from 85 to 95% in most countries. No information was available concerning nonresponders. Participants were told that they survey concerned activities related to health. Physical exercise was assessed by responses to the question ‘‘Over the past 2 weeks have you taken any exercise (e.g., sport, physically active pastime)?’’ Those who responded positively were asked what activity they had carried out and how many times they had exercised. In subsequent analyses, participants were divided into those who had exercised one to four times and those who had exercised five or more times in the TABLE 1 Age-Adjusted Prevalence of Exercise in the Past 2 Weeks: Proportion of Men and Women Who Were Physically Active, with 95% Confidence Intervals Men Country N Austria Belgium Denmark Finland France Germany (E) Germany (W) Greece Hungary Iceland Ireland Italy The Netherlands Norway Poland Portugal Spain Sweden Switzerland UK England UK Scotland 368 501 392 242 284 327 386 296 363 391 295 388 246 429 380 313 354 305 235 293 117 Overall 6905 Physically active 75% 74% 75% 84% 67% 76% 80% 55% 87% 83% 70% 74% 83% 74% 76% 52% 58% 77% 83% 66% 64% 73.2% Women 95% CI N 70–79% 70–78% 71–79% 79–90% 62–72% 71–80% 76–85% 50–60% 82–91% 79–87% 65–75% 69–78% 78–89% 70–78% 71–80% 47–56% 54–63% 73–82% 78–89% 61–71% 56–71% 349 606 379 458 354 346 371 343 361 381 458 383 493 733 378 492 412 376 340 394 261 8668 Physically active 75% 62% 81% 92% 58% 72% 79% 29% 95% 75% 66% 58% 83% 78% 73% 35% 36% 85% 78% 62% 63% 68.3% 95% CI 70–79% 58–65% 76–85% 88–96% 53–62% 67–76% 74–83% 25–43% 90–99% 70–78% 62–70% 54–62% 79–87% 75–81% 69–77% 31–38% 32–40% 80–89% 73–82% 57–65% 57–67% 847 PHYSICAL EXERCISE AMONG YOUNG EUROPEANS past 2 weeks. Smoking was measured by questions adapted from the screening instrument used by the Office of Population Censuses and Surveys in the United Kingdom [17]. In the present analysis, the sample was divided into smokers and nonsmokers on the basis of reporting any current smoking. Sleeping habits were measured by asking participants how many hours of sleep they had on average. It was found in the Alameda County Study that average sleep time was an independent predictor of morbidity and mortality [18]. Consequently, sleep times were divided into satisfactory (7–8 hr) and unsatisfactory (less than 7 hr or more than 9 hr per night). Alcohol consumption was assessed by requesting participants to classify themselves as nondrinkers, occasional drinkers, or regular drinkers. Those who drank alcohol indicated how many days they had consumed alcohol during the previous 2 weeks and how many drinks they had consumed on average. They were subsequently divided into three categories: nondrinkers; fewer than one unit per day; and one or more units per day. Desire to lose weight was assessed on a yes/no format. Health beliefs about physical exercise were assessed by asking subjects to rate their belief in the importance to health of taking regular exercise on a 10-point scale from 1 4 low importance to 10 4 very great importance. Risk awareness was assessed as part of a larger section of the survey concerned with knowledge of a range of lifestyle factors relevant to health [19]. Subjects were asked on a yes/no format whether they believed that heart disease was influenced by exercise. Data were collected in two phases with a 1-year interval. Preliminary analyses indicated no significant differences between the phases, so the cohorts were combined. In the second phase of data collection, social support and depression were assessed in participants from all countries except Austria, Belgium, Hungary, and Italy. The short form of the Social Support Questionnaire (SSQ) was administered, from which a measure of social support availability was derived from the average of the number of people who could be called upon to support the individual in a range of difficult situations [20]. A rating of satisfaction with social support was also obtained from the SSQ, but was not included in the analysis since the distribution was highly skewed. Depression was assessed using the short version of the Beck Depression Inventory (BDI) [21]. This measure consists of 13 of the 21 items of the full BDI and correlates highly with the full instrument [22]. Analyses of social support and depression were based on 5,633 and 5,529 individuals, respectively. Health status was assessed by asking participants whether they suffered from any persistent health problems, and respondents also provided information about height and weight, from which body mass index (BMI) was calculated [23]. RESULTS Prevalence of Physical Exercise among Men and Women Data concerning exercise were available from 6,905 men and 8,668 women distributed across countries as shown in Table 1. The mean age of the sample varied significantly across countries from 19.1 ± 1.3 years in Belgium to 23.5 ± 2.60 in West Germany. The prevalence of leisure time physical exercise was therefore adjusted for age, and the levels in each country sample are detailed in Table 1. Prevalence varied substantially across samples with the lowest levels among men and women being recorded in Greece, Spain, and Portugal and the highest in Hungary and Finland. The confidence intervals summarized in Table 1 indicate that prevalence differed from the overall population mean for men in Finland, West Germany, Hungary, Iceland, the Netherlands, and Switzerland (with high levels) and in France, Greece, Portugal, Spain, England, and Scotland (low levels). Among women, the levels in Austria, Denmark, Finland, West Germany, Hungary, Iceland, the Netherlands, Norway, Poland, Sweden, and Switzerland were significantly higher than the overall population mean, while the levels in Belgium, France, Greece, Italy, Portugal, Spain, England, and Scotland lay significantly below the population average. These data suggest a disappointingly low prevalence of leisure time physical exercise among relatively privileged young adults in many European countries. Men were more likely than women to have exercised in the previous 2 weeks, but this difference was significant only in six countries (Belgium, Greece, Iceland, Italy, Portugal, and Spain). Prevalence was somewhat higher among women than men in Denmark, Finland, Hungary, and Sweden, albeit with overlapping confidence intervals. Men were more likely than women to engage in frequent physical activity. Overall, 35.5% (CI 34.7, 36.9) of men had exercised on five or more occasions during the previous 2 weeks, compared with 29.7% (CI 28.7, 30.6) of women (P < 0.0001). When country samples were analyzed separately, this trend was significant in seven cases (Belgium, France, Greece, Iceland, Italy, Portugal, and Spain). In Finland alone, the reverse trend was apparent (P < 0.0001), since 52.7% of women had exercised five or more times compared with 35.7% of men. Overall, 17.0% of men and 22.8% of women reported persistent health problems, the most common being allergies and skin problems. There was no significant association between health problems and physical activity among either sex. Health Beliefs and Risk Awareness Mean ratings of beliefs in the importance of taking regular exercise for health maintenance were high, av- 848 STEPTOE ET AL. FIG. 1. Health beliefs and physical exercise. Age-adjusted proportion of physically active men and women in the sample of respondents at each of the 10 points of the scale on which beliefs in the importance of regular exercise for health were rated from 1 4 low importance to 10 4 very great importance. eraging 8.14 ± 2.0 among men and 8.19 ± 1.8 among women. Across country samples, average belief ratings ranged from 8.96 ± 1.6 (Hungary) to 7.66 ± 2.4 (Poland) among men and from 9.15 ± 1.3 (Hungary) to 7.73 ± 2.0 (Belgium) among women. A marked association between physical exercise and beliefs in the health benefits of exercise was observed among men and women. This is illustrated in Fig. 1, which summarizes the proportion of physically active individuals among people making ratings at each level of the 10-point belief scale. There was a gradual increase in the prevalence of exercise as beliefs became stronger. The proportion of individuals who were aware of the association between exercise and heart disease in each country sample is shown in Fig. 2. Overall, 52% of men and 54% of women were aware of the role of exercise, with striking country differences. More than 70% were FIG. 2. Exercise and heart disease. Age-adjusted proportion of men and women aware for the influence of exercise on heart disease in each country sample. Au, Austria; Be, Belgium; Dk, Denmark; Fi, Finland; Fr, France; eG, former DDR; wG, Germany; Hu, Hungary; Ic, Iceland; Ir, Republic of Ireland; It, Italy; Nl, The Netherlands; No, Norway; Po, Poland, Pt, Portugal; Sp, Spain; Sw, Sweden; Sz, Switzerland; Eng, UK–England; and Sc, UK–Scotland. 849 PHYSICAL EXERCISE AMONG YOUNG EUROPEANS aware of the association in Denmark, Finland, the Netherlands, and Norway, but fewer than 40% in Belgium, Greece, Italy, and Poland. No consistent sex differences were observed. There was a modest association between physical exercise and risk awareness, in that across all country samples 54.7% of the exercisers compared with 51.0% of sedentary individuals knew of the link with heart disease (P < 0.0001). However, this association was not significant in any country sample individually and was small in public health terms. Multiple logistic regression was carried out to assess the independent contribution of belief ratings and risk awareness to participation in physical exercise. Age and sex were included in the model, which was tested for each country sample separately. For the purposes of this analysis, belief ratings were divided into low (1–5) and high (6–10) categories, and the results are detailed in Table 2. Findings for beliefs were very consistent. In each country, the estimated odds of physical exercise were increased for those with a high as opposed to a low belief in the importance of exercise for health, adjusted for age, sex, and risk awareness. All the belief odds ratios were significant (P < 0.025 to P < 0.0001). By contrast, the odds ratios of physical exercise among individuals who were aware of the association between exercise and heart disease were significant in only one country sample (Portugal, P 4 0.03). Physical Exercise and Other Health Behaviors Lack of physical exercise was associated with cigarette smoking among both men and women; 40.7% of inactive men were smokers, compared with 29.8% of active individuals (P < 0.0001), and the corresponding proportions were 34.4 and 26.8% in women (P < 0.0001). The association was significant in nine individual country samples for men and in five samples for women. The proportion of smokers among respondents who had exercised one to four times and five or more times over the previous two weeks was also calculated. These data are summarized in Fig. 3 and indicate that among men a consistent trend was present (P < 0.00001), with fewer smokers among those who exercised frequently. The pattern was less striking among women, although the trend remained statistically significant (P < 0.0001). In individual country samples, the relationship was significant in seven samples for men and in two samples for women. Overall, reported sleep time was outside the 7- to 8-hr ‘‘satisfactory’’ category among 18.4% of men and 16.1% of women. A significantly larger number of exercisers than sedentary individuals were categorized as having satisfactory sleep levels among both men (83.0% vs 77.7%, P < 0.00001) and women (85.0% vs 81.4%, P < 0.0001). In the analysis of individual country samples, effects were significant in only two cases TABLE 2 Predictors of Exercise Behavior: Estimated Odds Ratios (OR) and 95% Confidence Intervals (CI) of Likelihood of Exercise for Participants with High vs Low Beliefs in the Importance of Regular Exercise, and High vs Low Awareness of the Influence of Exercise on Heart Disease, Controlling for Sex and Age Belief in the importance of regular exercise for health Risk awareness (exercise and heart disease) Country OR 95% CI OR 95% CI Austria Belgium Denmark Finland France Germany (East) Germany (West) Greece Hungary Iceland Ireland Italy The Netherlands Norway Poland Portugal Spain Sweden Switzerland UK England Scotland 6.46 5.04 7.99 6.06 7.89 9.78 4.00 3.74 8.53 3.81 4.50 2.54 6.11 6.20 2.75 6.00 5.93 9.90 4.56 (3.82, 10.9) (3.59, 7.08) (5.39, 11.9) (2.60, 14.2) (4.62, 13.5) (6.00, 15.0) (2.39, 6.66) (1.99, 7.04) (3.70, 19.6) (2.25, 6.45) (2.67, 7.60) (1.12, 5.76) (2.83, 13.2) (4.25, 9.04) (1.82, 4.17) (2.81, 12.8) (3.03, 11.6) (5.60, 17.5) (2.62, 7.95) 1.07 1.08 1.09 1.14 1.14 0.85 0.96 0.99 0.82 1.04 0.92 0.93 1.09 1.00 0.82 1.18 0.96 0.99 0.83 (0.899, 1.28) (0.936, 1.25) (0.863, 1.37) (0.875, 1.50) (0.962, 1.36) (0.699, 1.02) (0.941, 1.01) (0.833, 1.17) (0.651, 1.11) (0.861, 1.27) (0.786, 1.08) (0.782, 1.10) (0.876, 1.35) (0.857, 1.17) (0.673, 1.01) (1.02, 1.36) (0.825, 1.14) (0.812, 1.21) (0.668, 1.03) 5.54 18.25 (3.26, 9.41) (6.27, 53.2) 0.93 0.84 (0.771, 1.12) (0.699, 1.06) 850 STEPTOE ET AL. for each sex, but the small proportion of unsatisfactory sleep times gave these analyses limited power. There were no clear associations with the frequency of physical exercise. Alcohol consumption levels were typically low: only 27.3% of men and 12.5% of women drank an average of one or more units per day while 34.5% of men and 49.2% of women were nondrinkers. There was a significant association between exercise and alcohol consumption among women in five country samples (Hungary, Ireland, Poland, Portugal, and Scotland). In each case, exercisers were less likely to drink alcohol than sedentary women. This association was not consistent among men and was statistically significant in only one country sample (Poland). Overall, the BMI of men was significantly greater than that of women (means 22.4 ± 2.5 vs 20.8 ± 2.4, P < 0.0001). Associations with physical exercise were analyzed by dividing participants into low (BMI <20), average (BMI 20–25), and high (BMI > 25) categories. There was no association with physical activity among women, since similar proportions of women in each cat- egory exercised. An association was observed among men, with an average of 75.6% (CI 77.4, 76.7) of those in the average weight category being physically active, compared with 70.4% (CI 67.3, 73.5) of the high BMI group and 64.2% (CI 61.2, 67.3) of the low BMI group. This association was significant in 8 of the 21 country samples of men when analyzed separately. A desire to lose weight was reported among 17.4% of men and 44.1% of women. Across the entire cohort there were strong associations between physical exercise and desire to lose weight among both sexes as can be seen in Fig. 3 (P < 0.0001). The association was significant in seven of individual country samples for women but only in one case for men. Physical Exercise, Social Support, and Depression The SSQ was completed by 2,042 men and 3,591 women, while BDI scores were available from 2,091 men and 3,438 women. The analysis of these instruments was limited to the combined sample, since the individual country samples were not large enough for FIG. 3. Proportion of current cigarette smokers (top left), individuals wanting to lose weight (bottom left), people enjoying high social support (top right), and those with depression ratings >4 (bottom right) among inactive respondents (None), people exercising between one and four times in the past 2 weeks (1–4), and five or more times (5+). Age-adjusted means and 95% confidence intervals. m, men; d, women. PHYSICAL EXERCISE AMONG YOUNG EUROPEANS separate analysis. The number of supportive individuals averaged 3.01 ± 1.83 among men and 3.73 ± 1.78 among women. For the purposes of analysis, the population was divided into those who reported 0–2 supports (low support) and >3 (high support). Figure 3 shows the significant association between physical exercise and social support, with physically active individuals being more likely to enjoy high social support (P < 0.00001). Scores on the BDI were skewed toward low values, averaging 3.7 ± 4.4 among men and 3.9 ± 4.3 among women. The population was divided into those with low (0–4) and moderate or high (>4) BDI ratings for analysis. Associations with exercise are summarized in Fig. 3. It is apparent that among both men and women, the frequency of moderate depression scores declined with increasing levels of physical exercise (P < 0.0001). Among men, 24.1% of those exercising five or more times had moderate or high depression scores, compared with 33.6% of inactive males. The corresponding proportions for women were 28.0% vs 42.2%. Social support and depression were negatively correlated among men and women (r 4 −0.222 and −0.202, respectively, P < 0.0001). Logistic regression was therefore carried out to assess whether the associations with physical exercise were independent of one another. Age and sex were included in the model. This analysis revealed significant independent associations for both variables with exercise, with the estimated odds adjusted for age, sex, and depression of high vs low social support being 1.37 (CI 1.29, 1.46) and the odds of exercise for low vs moderate or high depression being 1.19 (CI 1.12, 1.27). DISCUSSION International comparisons of behaviors relevant to health are important for a number of reasons. First, there are wide variations in Europe in the incidence of premature morbidity and mortality from coronary heart disease and other disorders [24], and it is valuable to determine the extent to which these are matched by lifestyle factors. Knowledge about health behaviors and their correlates is essential to the planning of services and preventive programs. The issue is particularly pertinent to Europe, where the Single European Community Act has reduced barriers to population mobility. Proposals to extend the European Union to Eastern European countries where the pattern of morbidity is very different from that in Western Europe [25] further emphasizes the need for international data. The European Health and Behavior Survey was carried out with university students. The data cannot of course be considered representative for each country, since university students are typically healthier and better educated than other sectors of society [26]. Although students of health-related topics were ex- 851 cluded, the national samples may vary considerably in other characteristics.Nevertheless, the sample has distinct advantages for international comparisons. University students are a relatively homogeneous group in terms of education and socioeconomic status, and physical activity is positively associated with both factors [27]. The use of student samples limits the variance in physical activity associated with illness and disability [28]. Furthermore, university students form a privileged sector of society, and social diffusion processes may operate by which their behavior and attitudes are gradually transmitted to less advantaged groups. The response rate to this survey was high, averaging about 80% in the different country samples. Unfortunately, we were not able to collect information about nonresponders. It is unlikely that students who refused to participate had any particular orientation in relation to physical exercise, since exercise was only one of many issues addressed in the survey. However, since the study was introduced to potential participants as a survey of activities related to health, it is possible that nonresponders had less interest than responders in health issues. Inasmuch as university students associate physical exercise with health, the data may therefore by biased toward more favorable attitudes to exercise. The results concerning age-adjusted prevalence of physical exercise over the previous 2 weeks showed wide variations across country samples (Table 1). There was a marked similarity in the proportion of men and women who were physically active in each country sample, since the correlation between ageadjusted percentages was high (r 4 0.92, P < 0.001). Low levels of physical exercise were recorded in the southern European countries, with Portugal, Spain, and Greece having especially low prevalence among both men and women. A high prevalence was more common in Scandinavia, notably in Finland and Sweden. These differences do not reflect seasonal effects, since data were collected over several months in each country. High levels of physical exercise were recorded in Eastern European countries (particularly in Hungary), reflecting a tradition of sport and exercise participation in this part of the world. Levels in England and Scotland were disappointing in view of the efforts that have been made to publicize the value of physical activity [29]. Direct comparisons with other data sets cannot be made with confidence. The closest comparison is with the WHO cross-national study of health behaviors in school-age children, which assessed physical activity among 15-year-olds in 11 countries [30]. The highest prevalence of exercise out of school was recorded in Austria, Hungary, and Norway, with low levels in Spain and Poland. However, 15-year-olds are more constrained by school activities and family habits than 852 STEPTOE ET AL. are independent university students. Other international comparisons have been confined to elderly populations [31]. Leisure time physical exercise is one of the few health-related behaviors that are typically more prevalent among men than women. Our results endorse this pattern, but suggest that the difference is not universal. In four country samples, the age-adjusted prevalence was higher among women than men, indicating that cultural factors may influence these differences. Discussion of the types of physical exercise carried out is beyond the scope of this paper, but the most frequently reported activities in most countries were running or jogging, football, aerobics, and swimming. The higher prevalence among men may in part reflect a greater involvement in college-based sports. The association between beliefs in the health benefits of regular exercise and physical activity was very reliable, with a consistent trend of increasing participation with stronger beliefs (Fig. 2). Beliefs in the health benefits of exercise predicted physical exercise in every country sample, independently of age, sex, and risk awareness (Table 2). These associations confirmed the relationships that have been observed for a wide range of behaviors and beliefs in the European Health and Behavior Survey [15] and in other studies [32]. The result is notable for two reasons. First, robust associations between health beliefs and behaviors were maintained across a range of diverse cultures, with the prevalence of the behavior varying from 35 to 95%. The correlation with health beliefs does not therefore depend on physical exercise exceeding any particular prevalence threshold. Second, health does not rank high among the motives for exercise among young people. Factors such as having fun (30), leading an exciting life [33], appearance, and socializing [34] are endorsed more frequently as reasons for exercise than health benefits. A causal interpretation of the association between health beliefs and exercise cannot be made from this cross-sectional survey. Nevertheless, in a follow-up on a subgroup of participants, we have found that beliefs in health benefits predicted changes in physical exercise over a 12-month period [35]. Consequently, health beliefs may be a legitimate target for intervention. By contrast, the association between awareness of the health consequences of inactivity and behavior was weak. Health knowledge was assessed in this analysis by awareness that physical exercise influences risk of heart disease, since this association is well established in longitudinal studies [1]. The results show a disappointing level of awareness among this cohort of educated young Europeans. Fewer than 60% of men and women were aware of the influence of exercise in the majority of country samples, and even in the most knowledgeable sample (Denmark) some 20% were evidently unaware of the link (Fig. 2). These data high- light a serious shortfall in knowledge about basic health risks associated with a sedentary lifestyle. The result is of particular concern in that data were obtained from a well-educated sector of the population. At the same time, it should be noted that the association between risk awareness and engagement in physical exercise is modest and not statistically significant in the majority of country samples (Table 2). These findings suggest that although there is room for substantial improvement in knowledge about the specific hazards of inactivity, deficient knowledge is not in itself a major determinant of physical exercise among young adults. Observations concerning the associations between physical exercise and other health behaviors have been mixed. For example, many studies have shown that exercise is inversely associated with cigarette smoking [10,36], but this was not confirmed in the U.S. National Adult Fitness Survey [37] and other surveys [38,39]. Associations between exercise and smoking may be confounded by socioeconomic status, since occupational activity is greater among lower status groups in which smoking is also more prevalent. The relationship between exercise and alcohol consumption is variable across studies and between sexes [11,40]. Many authorities have emphasized that there are distinct dimensions of health behavior and that physical activity does not load on the same factor as smoking, alcohol consumption, or sleep time [41–43]. In the present study, regular physical exercise was associated with a lower likelihood of smoking and with sleeping 7–8 hr per night. Physical exercise was also negatively related to alcohol consumption among women but not men. Team sporting events are frequently followed by drinking in the bar, and this may offset any salutagenic effects of exercise. Overweight individuals are more likely to drop out of exercise programs and are less responsive to public health interventions than others [14,44]. In the present study, no simple association between body mass index and physical exercise was observed. Among women, body mass index was not related to physical exercise; instead desire to lose weight was a strong predictor (Fig. 3). Weight control has previously been identified as a common motive for physical activity among young women [34] and is not confined to those who are overweight by objective criteria. Among men, a curvilinear association emerged between body mass index and physical exercise, with higher levels of engagement among individuals with a BMI in the average range (20–25). The lower prevalence of exercise in subjects with high BMI may reflect the pattern documented in earlier studies. Men with low BMI may be less active because they are less likely to become involved in team sport than others. The final set of analyses confirmed the association between lack of physical exercise and depressed mood PHYSICAL EXERCISE AMONG YOUNG EUROPEANS documented in other studies (Fig. 3). We also found that this was independent of the influence of social support. The latter observation is significant, since social isolation may heighten depressed mood while also reducing the likelihood of regular vigorous activity. Unfortunately, the limited numbers completing this part of the survey prevented separate analysis of country samples, so it is not possible to draw conclusions about the consistency of this finding across cultures. The result is consistent with longitudinal studies showing that regular physical activity may enhance emotional well-being [45]. The limitations of this study should be noted [15]. The cross-sectional design precludes any causal inferences from being drawn. The results are based on selfreport, and the physical exercise measure included a range of sports and recreations that vary in their energy demands. Sampling was restricted to a privileged sector of young adults and to two or three centers within each country. It is possible that differences in the type of student included in each country sample contributed to the pattern of results. Nevertheless, the results point to wide variations between sociocultural groups that are a cause of concern and that merit fuller investigation. The associations with health-related behaviors and emotional well-being suggest that regular physical exercise is a behavior that is consistent with a healthy lifestyle across cultures. The consistency of associations between physical exercise and health beliefs further justifies attention to attitude change in preventive programs. ACKNOWLEDGMENTS This research was carried out within the Concerted Action on Breakdown in Human Adaptation: Quantification of Parameters, part of the Commission of the European Communities Biomedical and Health Research Programme. Statistical analysis was supported with a grant from the Economic and Social Research Council, UK. The following colleagues contributed to the European Health and Behavior Survey: Austria, Professor Margit Koller and Professor Elisabeth Groll-Knapp (Vienna); Belgium, Professor Jan Vinck (Diepenbeek); Denmark, Dr. Donald Smith (Århus); Finland, Dr. Martti Tuomisto (Tampere) and Dr. Raimo Lappalainen (Kuopio); France, Dr. France Bellisle and Dr. Marie-Odile Monneuse (Paris); East Germany, Dr. Konrad Reschke (Leipzig); West Germany, Dr. Thomas Kohler (Hamburg), Professor Gudrun Sartory (Wuppertal) and Dr. Claus Vögele (Marburg); Greece, Professor Nicola Paritsis (Iraklion) and Dr. Bettina Davou (Ioánina); Hungary, Professor Maria Kopp and Dr. Árpad Skrabskı́ (Budapest); Iceland, Professor Erlendur Haraldsson (Reykjavik); Italy, Dr. Anna Maria Zotti and Dr. Giorgio Bertolotti (Veruno); Poland, Dr. Zbigniew Zarczynski (Krakow) and Professor Andrzej Brodziak (Bytom); Spain, Professor Jaime Vila (Granada); Sweden, Professor Mats Fredrikson (Uppsala); Switzerland, Professor Ruth Burckhardt and Dr. Laurent Rossier (Lausanne). We are also grateful for the assistance of Heather Smith in the analysis of these data. REFERENCES 1. Whaley MH, Blair SN. Epidemiology of physical activity, physical fitness and coronary heart disease. J Cardiovasc Risk 1995; 2:289–95. 853 2. Bouchard C, Shephard RJ, Stephens T. Physical activity, fitness, and health. Champaign: Human Kinetics Publications, 1994. 3. WHO/FIMS Committee on Physical Activity for Health. Exercise for health. Bull World Health Org 1995;73:135–6. 4. Healthy People 2000: national health promotion and disease prevention objectives. Boston: Jones and Bartlett, 1992. 5. Allied Dunbar National Fitness Survey. London: The Sports Council and the Health Education Authority, SC/81/3M/6/92, 1992. 6. Dishman RK, Sallis JF, Orenstein D. The determinants of physical activity and exercise. Pub Health Rep 1985;100:158–71. 7. Sallis JF, Hovell MF. Determinants of exercise behavior. Exercise Sports Sci Rev 1990;18:307–30. 8. Lee C. Attitudes, knowledge, and stages of change: a survey of exercise patterns in older Australian women. Health Psychol 1993;12:476–80. 9. Bettinghaus EP. Health promotion and the knowledge— attitude–behavior continuum. Prev Med 1986;15:475–91. 10. Shephard RJ. Exercise and lifestyle change. Br J Sports Med 1989;23:11–22. 11. Blair SN, Jacobs DR, Powell KE. Relationships between exercise or physical activity and other health behaviors. Pub Health Rep 1985;100:172–80. 12. Stephens T. Physical activity and mental health in the United States and Canada: evidence from four population surveys. Prev Med 1988;17:35–47. 13. Camacho TC, Roberts RE, Lazarus NB, Kaplan GA, Cohen RD. Physical activity and depression: evidence from the Alameda County Study. Am J Epidemiol 1991;134;220–31. 14. Dishman RK. Determinants of participation in physical activity. In: Bouchard C, Shephard RJ, Stephens T, Sutton JR, McPherson BD, editors. Exercise, fitness, and health. Champaign: Human Kinetics Books, 1990:75–101. 15. Steptoe A, Wardle J. The European Health and Behaviour Survey: the development of an international study in health psychology. Psychol Health 1996;11:49–73. 16. Wardle J, Steptoe A. The European Health and Behavior Survey: rationale, methods and initial results from the United Kingdom. Soc Sci Med 1991;33:925–36. 17. Steptoe A, Wardle J, Smith H, Kopp M, Skrabski A, Vinck J, et al. Tobacco smoking in young adults from 21 European countries: association with attitudes and risk awareness. Addiction 1995;90:571–82. 18. Wingard DL, Berkman LF, Brand RJ. A multivariate analysis of health-related practices—a nine-year mortality follow-up of the Alameda County study. Am J Epidemiol 1982;116:765–75. 19. Steptoe A, Wardle J. What the experts think: a European study of expert opinion about the influence of lifestyle on health. Eur J Epidemiol 1994;10:195–203. 20. Sarason IG, Sarason BR, Shearin EN, Pierce G. A brief measure of social support—practical and theoretical implications. J Soc Pers Relationships 1987;4:497–510. 21. Beck AT, Beck RW. Screening depressed patients in family practice. Postgrad Med 1972;52:81–5. 22. Reynolds WM, Gould JW. A psychometric investigation of the standard short form Beck Depression Inventory. J Consult Clin Psychol 1981;49:306–7. 23. Bellisle F, Monneuse M-O, Steptoe A, Wardle J. Weight concerns and eating patterns: a survey of university students in Europe. Int J Obes 1995;19:723–30. 24. Holland WW. European community atlas of ‘‘avoidable death.’’ 2nd ed. Oxford: Oxford Univ. Press, 1991. 854 STEPTOE ET AL. 25. Lopez AD. Assessing the burden of mortality from cardiovascular diseases. World Health Stat Q 1993;46:91–96. 26. Patrick K, Grace TW, Lovato CY. Health issues for college students. Ann Rev Public Health 1992;13;253–68. 27. Stephens TS, Schoenborn CA. Adult health practices in the United States and Canada. Washington: National Center for Health Statistics, PHS 88-1479, 1988. 28. Gottlieb NH, Green LW. Life events, social network, life-style and health: an analysis of the 1979 National Survey of Personal Health Practices and Consequences. Health Educ Q 1984;11:91– 105. 29. Health Promotion Research Trust. Fit for life. Cambridge: Health Promotion Research Trust, 1989. 30. King AJC, Coles B. The health of Canada’s youth. Ministry of Supply and Services, H39-239/1992E, 1992. 31. Osler M, de Groot LC, Enzi G. Life-style: physical activities and activities of daily living. Eur J Clin Nutr 1991;45:139–51. 32. Sallis JF, Simons-Morton BG, Stone EJ, Corbin CB, Epstein LH, Faucette N, et al. Determinants of physical activity and interventions in youth. Med Sci Sports Exerc 1992;24:S248–57. 33. Eiser JR, Gable P. Health behavior as goal directed action. J Behav Med 1988;11:523–35. 34. Silberstein LR, Striegel-Moore RH, Timko C, Rodin J. Behavioral and psychological implications of body dissatisfaction: do men and women differ? Sex Roles 1988;19:219–32. 35. Steptoe A, Sanderman R, Wardle J. Stability and changes in health behaviours in young adults over a one year period. Psychol Health 1995;10:155–69. 36. Conway TL, Cronan TA. Smoking, exercise, and physical fitness. Prev Med 1992;21:723–34. 37. President’s Council on Physical Fitness and Sports. National adult physical fitness survey. Phys Fitness Res Digest 1974;4: 1–27. 38. Marti B, Tuomilehto J, Salonen JT, Puska P, Nissinen A. Relationship between leisure-time physical activity and risk factors for coronary heart disease in middle-aged Finnish women. Acta Med Scand 1987;222:223–30. 39. Perrier. The Perrier study: fitness in America. New York: Perrier, 1979. 40. Heath GW, Kendrick JS. Outrunning the risks: a behavioral risk profile of runners. Am J Prev Med 1989;5;347–52. 41. Bausell CR, Bausell RB. The internal structure of healthseeking behavior. Eval Health Professions 1987;16:460–75. 42. Sobal J, Revicki D, DeForge BR. Patterns of interrelationships among health-promotion behaviors. Am J Public Health 1992;8: 351–9. 43. Norman RMG. Studies of the interrelationships amongst health behaviors. Can J Public Health 1985;76:407–10. 44. Siegel PZ, Brackbill RM, Heath GW. The epidemiology of walking for exercise: implications for promoting activity among sedentary groups. Am J Public Health 1995;85:706–10. 45. Steptoe A, Edwards S, Moses J, Mathews A. The effects of exercise training on mood and perceived coping ability in anxious adults from the general population. J Psychosom Res 1989;33: 537–47.
© Copyright 2026 Paperzz