Aerobic fitness, which refers to maximal aerobic capacity (VO2max), is usually, but not always, adjusted for body composition or weight. VO2max, can be accurately measured directly by gas exchange assessment during maximal exercise on a bicycle ergometer or a treadmill. However, VO2max can also be estimated using sub-maximal exercise testing and this has proved to be a valid and reliable technique (Åstrand & Rodhal, 1987) . Aerobic fitness (VO2max) is positively associated with a variety of health outcomes; in particular, high levels of fitness are protective against coronary heart disease (CHD) and cardiovascular disease (CVD) morbidity and mortality, as well as risk factors for these outcomes ( Yoshiga & Higuchi, 2003; Strong, Malina, Cameron, Stephen, Roodney, Bernad, Albert, Aviva, Patricia, James, Thomas, Stewart, & Francois, 2005) . A longitudinal study undertaken by (Lee & Blair, 2002) , in a study of men aged 30 to 83 years, reported that low fitness men, irrespective of the fact that they were lean, had a relatively high risk, both all-cause and CVD mortality over an average 8-year follow-up. Indeed, fitness was a more potent predictor of subsequent health status than fatness. More recently, fitness and mortality were observed to be inversely associated for diabetic men of average aged 49 (Church, Cheng, Earnest, Barlow, Gibbons, Priest, & Blair, 2004) . Again, fitness was a stronger predictor of subsequent mortality than body composition. Adjusting for fitness abolished any association between body mass index and mortality.
Levels of physical activity, whether occupational activity (e.g. patrolling, lifting or carrying loads), home maintenance activity (e.g. housework, yard-work), or as part of leisure pursuits (sports participation, walking, golfing, gardening), are often used as a proxy for physical fitness in epidemiological research. This undoubtedly reflects relative ease of measurement. Physical activity can be measured by self-report as the frequency or the volume of time spent in various types or various intensities (light, moderate, and vigorous). Regular physical activity is associated with numerous health benefits, such as reduced risk for cardiovascular disease, diabetes, obesity, some cancers and musculoskeletal conditions. Further, risk for CHD, CVD, and other condition can be reduced through increases in physical activity. The positive association between physical activity and health is now well established (Blair, LaMonte, & Nichaman, 2004) .
The evidence from studies on aerobic fitness and morbidity (particularly for CHD and CVD) is also consistent (Blair, Cheng, & Holder, 2001) . Many studies have now shown a strong inverse relationship between fitness and morbidity (Kemper, Twisk, Koppes, Van Mechelen, & Post, 2001) . A cross-sectional study (McMurray, Ainsworth, Harell, Griggs, & Williams, 1998) reported increased aerobic power among 1664 law enforcement trainees had a positive influence on CVD risk factors. They concluded that the roots of this association may be traced to adoles. Thus, the negative consequences of low fitness for CHD and CVD morbidity and risk may begin very early in life (Balducci, Zanuso, Cardelli, Salvi, Mazzitelli, Bazuro, Iacobini, Nicolucci, & Pugliese, 2012; Fogelholm, 2010) . More recently, (Talbot, Morrell, Metter, & Fleg, 2002) found that higher cardio-respiratory fitness predicted reduced risk of CHD in individuals who were less than 65 years old. For older participants (>65 years old), both higher cardio-respiratory fitness and high intensity of exercise were associated with fewer indications of CHD among 689 men from the Baltimore Longitudinal Study of Ageing.
There would seem to be very few data on the relationship between self-reported activity levels and fitness at different religions and no consensus as to whether the strength of the association varies with religion. This research attempts to address these questions using a cross-sectional study:
・ What is the nature and size of the association between self-reported physical activity and measure of fitness and strength?
・ What are other factors related to fitness and strength?
・ How do physical activity levels and fitness change with Muslim and Non-Muslim?
・ Does the association between physical activity and fitness vary with Muslim and Non-Muslim?
The male participants were volunteers from among staffs, and the postgraduate and undergraduate body at the University of Birmingham. The final effective sample comprised 112 men. Because recruitment was opportunistic, a substantial proportion (64%) of the current sample was recruited from the Malaysian Muslim community resident in Birmingham. For this study, participants had to be over 16 years of age and not suffering from any of the following: existing cardiovascular or respiratory disease as revealed by the School of Sport and Exercise Sciences’ general health questionnaire, which was administered at the outset. The local ethics committee approved the study and all participants received an information sheet, providing details of the protocol and provided written informed consent.
This study adopted a cross-sectional correlational design. Participants completed a series of questionnaires, assessing among other things, the extent to which they engaged in exercise at different intensities, and had measurements taken of their fitness levels. Of primary interest was the extent to which fitness levels were associated with self-reported exercise behavior.
2.3. Questionnaire Assessment
Participants were administered a questionnaire package developed by (Tuxworth, Nevill, White, & Jenkins, 1986) . Leisure physical activity was measured in a number of domains and the frequency of participants’ exertions at different intensity level assessed. With regard to other moderate intensity exertions, participants were asked about their involvement in activities such as gardening, fishing, and golfing. They were also being required to indicate whether they smoked and, if so, had to state how many cigarettes they smoked: under 10 a day, 10 or more a day but less than 20, 20 or more a day but less than 30, or 30 a day or more. Alcohol consumption within the past 12 months was reported in terms of whether participants drank twice a day or more, almost daily, once or twice a week, on special occasions only, or not at all during the last 12 months. Information about marital status was acquired through having participants choose from six alternatives: single, never married, separated, divorced, widowed, married, or living as married.
2.4. Anthropometric Assessment
Mass of participants were measured in kilograms wearing minimal clothing, on digital GEC Avery (Model 824/890) scales, and their height determined, with shoes removed, using a SECA stadiometer (Model 220). Body fat assessment was undertaken using the four-site skinfold method (Durnin & Rahaman, 1967) Harpenden calipers were used to measure the thickness of skinfolds (in millimetres) at the four-designated sites, namely the midpoint of the upper arm over the biceps and over the triceps muscles as well as subscapular and suprailliac sites. The four-skinfold thicknesses were summed and converted, using the formula of (Durnin & Womersley, 1974) to estimate the percentage body fat. Body mass index (BMI) was calculated from the ratio of mass (kg) to height (m)2.
2.5. Exercise Test and VO2max Determination
Upper body strength was assessed by having the participant perform a maximum handgrip test, using a Takei Hand-grip Dynamometer. Maximal isometric strength of the knee extensors was determined using a TORNVAL chair. With arms folded across the chest subject performed three maximal efforts attempting to extend the knee against the restraining limb attachment. Each trial was separated by a 60 seconds rest period. The highest force recorded in the three trials was taken as maximum voluntary strength.
Maximum oxygen uptake (VO2max) was estimated from submaximal cycle exercise, using a Lode Excalibur Sport cycle ergometer. For the handgrip test, participants were instructed to grip as hard as they could on the bar of the dynamometer. They used their dominant hand and were tested while standing. They were also allowed to engage in vocal self-encouragement. The highest score from three trials, each separated by a 30-second recovery period, was adopted as the measure of upper body strength measure. The lower body strength was determined using the leg extensor chair (TORNVAL chair) measuring maximum torque achieved by large muscles at the quadriceps and the hamstrings on the dominant leg. The best recording of the three maximum lifts of the legs, each separated by a 60-second recovery period, was adopted as the measure of the lower body strength.
2.6. Data Analysis
Analysis was largely by correlation and regression. The following served as outcome variables: VO2max, grip strength, leg strength, and percentage body fat. After bivariate correlational analyses, significant predictors of outcome were then tested in multiple regression models. In all cases, a stepwise approach was used. Binary variables were analyzed by χ2. Differences between older and younger participants were tested using t-tests with continuous variables and ꭓχ2 with binary variable. Finally, separate regression models were tested for the younger and older cohorts.
The comparisons between these participants and the rest of the sample are summarized in Table 1.
Analysis revealed that these participants engaged in the far less exercise, particularly vigorous exercise than their non-Muslim counterparts. Although groups did not differ in terms of leg strength, the Malaysian Muslim participants registered lower leg strength and lower VO2max values, whether corrected with mass or absolute VO2max.
The groups did not differ in terms of Body Mass Index (BMI), but the Muslim participants were shorter, lighter, and had significantly higher percentage of body fat values. Although the groups did not vary in self-reported general health, with both groups reporting very good health, they did differ in terms of health behaviors.
The Muslim group were far less likely to drink alcohol, but much more likely to be current smokers. They were also more likely to be married, but not more likely to be in paid employment. Finally, they were, on average, older than the non-Muslim participants.
Given that religion or ethnicity and age cohort were confounded, age differences were reexamined considering Muslim and Non-Muslim. This was achieved using analyzed of covariance, with age cohort as the variate and religion as the covariate. The outcomes of these analyses are presented in Table 2. As can be seen, age cohort differences in vigorous and total exercise, VO2max, and leg strength remained even when religion was considered.
4. Discussion and Conclusion
Considered as a whole, the largely student sample in this study spent more (72%) of their exercising time engaged in moderate exercise, such as walking, sport play, and golfing, than vigorous exercise, such as running and competitive sports. Previously, (American College of Sports Medicine, 1995; Weyer, Linkeschowa, Heise, Giesen, & Spraul, 1998) recommended at least 20 minutes of vigorous exercise undertaken at least 3 times per week. Thus, their weekly
Table 1. Summary statistics of the physical characteristics, self-reported exercise behaviors, and fitness measures for the Muslim (tee-total) and Non-Muslim (non-teetotal) participants.
1For binary variables, the percentage showing the characteristic is presented.
energy expenditures were well above 1000 kcal per week. With regard to moderate exercise, our participants were expending a mean estimated 1958 kcal per week and, in total, were expending an estimated 3665 kcal per week. Clearly, they were, on average, meeting current exercise recommendations for weight loss and health.
Further, the age effects discussed below could be helping deflate the overall estimate for the sample of time spent in vigorous exercise in the current study; it is clear that younger participants in the study spent more than twice as much time engaged in vigorous exercise than the older participants. Whereas the younger cohort was spending the estimated 4447 kcal per week engaged in exercise, for the older cohort, the estimate was 2930 kcal per week. It should be noted, however,
Table 2. Differences between old and young cohorts considering Muslim and Non-Muslim affiliation.
that the older members of the present sample were still exercising at well above the recommended minimum levels.
These sorts of difference in physical activity levels are also apparent in the present study. For the non-Muslim members of the sample, the average estimated energy expenditure in physical activity and exercise was 5171 kcal per week, whereas for the Muslim participants, it was 2877 kcal per week. Again, however, this latter figure is still above the recommended exertion levels. While there is consistent evidence that leisure exercise is protective of health and is associated with reductions in premature death, particularly from coronary heart (Lee & Paffenbarger Jr., 2000; Carnethon, Sternfeld, Schreiner, Jacobs, Lewis, & Liu, 2009) , there is still debate about the necessary intensity required to gain such benefits. It remains possible that reductions in risk for coronary heart disease require reasonably vigorous exercise. This is what is reported from a recent analysis of the Caerphilly study data (Yu, Yarnell, Sweetnam, & Murray, 2003) . The present participants were, on average, spending 1707 kcal per week on vigorous exercise, which clearly falls within the range apparently required to gain this benefit.
Muslim participants in the present study had lower estimated VO2max values of 41 ml∙kg−1∙min−1 than the rest of the cohort, who had an average value of 55 ml∙kg−1∙min−1, indicative of good levels of fitness. (Singh, Singh, & Sirisinghe, 1989) reported that VO2max values for Malaysian healthy men age 13 until 59 years varied with age in systematic manner. Based on the formula developed to determine VO2max value; VO2max value (ml∙kg−1∙min−1) = 67.7 - 0.77 (age), participants with an age mean of 31.86 years would register a VO2max value of 43.2 ml∙kg−1∙min−1 which is very much similar to this study’s VO2max value of 41 ml∙kg−1∙min−1 for our sample of Malay Muslims. However, it is likely that the differences in VO2max found in the present study reflected differences in physical activity levels rather than genetic variations. (Bouchard & Rankinen, 2001) concluded from a review that ethnic variation was little involved as a determinant of physiological adaptations to regular physical activity. The differences among ethnic groups in terms of aerobic power were small, and when other factors were considered, there was little evidence for genuine ethnic differences in maximum aerobic power (Boulay, Ama, & Bouchard, 1988) .
Finally, reported time spent in moderate physical activity at the original, but not the current, assessment appeared to reduce the like hood of a diagnosis of high blood pressure. In addition, those who spent more time in moderate physical activity 23 years earlier were less likely to have at least one of the risk factors for coronary heart disease at current assessment. For the future study, the researcher should do the biggest scope to get the best result with differences gender, carrier, and status.
I would like to thank all the participants for allowing me to access them. I would also like to thank Dr. Mohd Radzani as a supervisor and for their interest and help with this research. Lastly, I dedicate my work to all member and family that support me from beginning.