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Physical fitness and physical self-concept of male and female young adults in Qatar


Authors: Bryna C. R. Chrismas aff001;  Lina Majed aff001;  Zsuzsanna Kneffel aff001
Authors place of work: Qatar University, Sport Science Program, College of Arts and Science, Doha, Qatar aff001
Published in the journal: PLoS ONE 14(10)
Category: Research Article
doi: https://doi.org/10.1371/journal.pone.0223359

Summary

Background

Physical inactivity is high within the Qatari population, particularly within females, and school-based environments, contributing to increased morbidity and mortality. School-based physical activity (PA) outcomes may be mediated by physical self-concept. Low physical self-concept may negatively impact PA engagement, compromising childhood and adolescent physical fitness, which may translate into adulthood. Normative physical fitness data for the Qatari population is unavailable. Stratifying normative physical fitness appears prudent, to not only allow comparisons to be made worldwide, but enable informed decisions for public health policy and future interventions in the Qatari population.

Purpose

To establish the physical fitness of young adults in Qatar, and examine differences between males and females for physical self-concept, and engagement in school-based and extra-curricular PA.

Method

186 (females n = 85) healthy participants [median (minimum—maximum) age: males = 21 (18–26), females = 21 (18–24) y; height: males = 1.74 (1.57–1.99), females = 1.61 (1.46–1.76) m; body mass: males = 71.9 (49.3–145.0), females = 56.8 (35.7–96.4) kg] completed the ALPHA-FIT test battery for adults (one leg stand, figure of eight run, handgrip strength, jump and reach, modified push-up, dynamic sit-up and 2 km walk), physical self-description questionnaire (measuring physical self-concept), and were asked to answer ‘yes’ or ‘no’ to whether they participated in school-based and extra-curricular PA.

Results

Data is reported as effect size; ±90% confidence limit. Males compared to females most likely performed better for dynamic sit-up (2.2; ±0.76), very likely better for the figure of eight run (0.86; ±0.42) and likely better for handgrip strength (2.1; ±0.75). Males likely had higher physical self-concept for coordination (0.78; ±0.37) and endurance (0.66; ±0.27) compared to females. There were no differences for school-based PA (p ≥ 0.78) or for extra-curricular PA for males (p ≥ 0.26) or females (p ≥ 0.21).

Conclusion

The data suggests that the young Qatari adult population has variable, yet generally low, physical fitness traits compared to individuals worldwide, likely due to their low PA. The precise aetiology for this is not well documented, yet such data may be prudent to evidence-inform strategies to improve physical fitness through increased PA (synergistic relationship), given the strong association between physical activity/fitness and morbidity/mortality.

Keywords:

Physical activity – Physical fitness – Hand strength – Legs – Walking – Feet – Qatar

Introduction

Within Qatar, 83% of the population participate in little or no physical activity (PA) whilst 63% engage in no PA whatsoever [1]. This generates estimated annual direct (health-care expenditure) and indirect (productivity losses) costs of $60.7 million [2]. Physical inactivity increases risk of heart disease, stroke, diabetes and certain cancers (e.g. breast and colon), and is one of the leading risk factors for death worldwide [3]. It is concerning therefore that only 39% of Qatari school children (6–12 y) meet the school-based moderate-to-vigorous PA guidelines of ≥ 30 min per day [4]. Furthermore, the Qatar Active Healthy Kids Report Card, which assesses physical activity in children and youth (6–17 y) utilising a grading system [A+ to F, or ‘incomplete’ (inadequate information to assign a grade)] revealed poor grades specifically for sedentary behaviour (D+), overall PA (D), and physical fitness (incomplete) [5]. This resulted in Qatar placing 20th out of 30 for high Human Development Index countries and regions [6]. Qatar has made demonstrable improvement since the first Report Card in 2016 [7]. Nevertheless, the overall results are still extremely concerning, particularly as physical fitness was graded as incomplete in 2016 and 2018. Low physical fitness during childhood is an extremely powerful marker of health, and is associated with increased risk of obesity and cardiovascular disease, poor mental health and increased mortality [8]. Concerningly, it appears physical fitness of children and adolescents is declining worldwide [913], which may further compound disease risk and quality of life in adulthood [1417]. Worldwide, girls typically perform worse in cardiorespiratory fitness and strength [12, 1820], which longitudinally are predictors for metabolic syndrome [18]. Given that childhood and adolescence are key periods of life, and often the times at which lifestyle behaviours (i.e. physical activity) are established [21], it is essential that school-based PA provides the appropriate quantity and quality of PA to improve physical fitness. School-based PA outcomes may be mediated by physical self-concept. Such psychological constructs may impact the engagement and outcomes associated with school-based PA [22], compromising physical fitness of children and adolescents, which may translate into adulthood [23].

Physically active adults possess higher physical fitness [9, 10] and demonstrate lower morbidity and mortality [11]. Muscular and cardiorespiratory fitness are essential components of physical fitness. Indeed, high cardiorespiratory and muscular fitness have been shown to be cardioprotective, irrespective of body mass index (BMI) [2426]. Additionally, muscular fitness is inversely associated with metabolic risk, and mortality, independent of cardiorespiratory fitness [27, 28]. Specifically, push-up capacity [29] and handgrip strength [30, 31] are inversely associated with adverse cardiovascular disease events, and all-cause mortality [30, 32]. However, no objective physical fitness data currently exists for the Qatari population, unlike Europe for example, where age stratified fitness data are being established [18, 3335]. Furthermore, worldwide (e.g. Australia, UK, USA, Canada, Japan, Norway, Sweden) age and gender stratified normative data for handgrip strength [3643], and push-up capacity [4447] exist. Obtaining simple, cost-effective and objective measures of physical fitness (i.e. push-ups, handgrip strength) appears essential for the Qatari population, as this would allow direct comparison to existing worldwide normative data. Moreover, establishing a longitudinal normative database of these measures for the Qatari population is an important first step for evidence-informed decisions to be made, in order to improve physical fitness, and therefore, attenuate morbidity and mortality within the Qatari population. Such data will likely demonstrate gender differences, as 44% of Qatari females achieve < 5,000 steps per day [48], likely a combination of the environment (i.e. heat, humidity, dust), culture, and Islamic traditional clothing (i.e. Abaya, Hijab), adopted widely by Qatari females in public places [49]. Additionally, Arab females report poorer sport, physical, and strength components of physical self-concept compared to their male counterparts [50]; important as physical self-concept is positively associated with PA engagement [51] and motor skill development [52]. However, no data currently exists examining gender differences in both objective physical fitness and physical self-concept within the Qatari population.

Therefore, the primary aim of this study was to characterize physical fitness and physical self-concept in young adults in Qatar. A secondary aim was to examine differences in physical fitness and physical self-concept for gender, and engagement in school-based or extra-curricular PA. It was hypothesised that (i) males would demonstrate superior physical fitness and physical self-concept compared to females, and (ii) that physical fitness would be higher in individuals that engaged in both school-based and extra-curricular PA.

Methods

Experimental design

Ethical approval for this cross-sectional study was received from Qatar University Institutional Review Board (QU-IRB 428-E/15). Prior to any experimental procedure occurring, written informed consent was obtained in the spirit of the Declaration of Helsinki (1975). All testing was performed at Qatar University within the male and female indoor sports hall. Participants performed the tests individually, and all tests were performed on the same day. Testing occurred between October 2015 and February 2016. The physical activity and health questionnaire provided in the ALPHA-FIT manual for adults [53] was completed prior to any testing. The following pre-test procedures were followed; avoidance of severe physical exertion 48-h prior to testing, avoidance of physical exertion on the day of testing, a minimum of 8-h sleep prior to testing, last meal 3-h prior to testing, no smoking or caffeinated beverages 1-h prior to testing [53]. Additionally, participants were asked to answer ‘yes’ or ‘no’ to whether they participated in school-based and extra-curricular PA. Examples of what constituted school-based PA (i.e. physical education classes, sports day), and extra-curricular (i.e. schools Olympic program, swimming lessons, team/individual sports clubs) were provided to the participants.

Participants

A total of 186 (females n = 85) healthy participants volunteered for this study. Participant characteristics are shown in Table 1. A convenience sample was recruited via word-of-mouth, email and social media by students from Qatar University Sport Science Program. Eligible participants were born in Qatar, completed elementary and high-school in Qatar, were aged between 18–29 y and were not taking any medication. Exclusion criteria included cardiorespiratory disease and/or symptoms, chest pain or breathing problems at rest or during exercise, hypertension (≥ 140/90 mmHg), light headiness and/or dizziness, inflammatory joint disease, back problems or other long-term and/or repetitive musculoskeletal problems [53].

Tab. 1. Participant characteristics. Data is reported as median (minimum–maximum).
Participant characteristics. Data is reported as median (minimum–maximum).

Physical self-concept

All participants completed the short version of the physical self-description questionnaire (PSDQ-S), scored from 0 to 6 on a Likert scale. The PSDQ-S is comprised of nine specific self-concept scales (activity, appearance, body fat, coordination, endurance, flexibility, health, sport, and strength), and two global scales (global physical and global esteem), and has shown good validity across a heterogeneous sample, including Arab university students [54]. Each PSDQ-S item (40 items in total) is a simple declarative statement (e.g. ‘I am good at coordinated movements’). Participants responded to each PSDQ-S item using the 6-point true-false response scale (1 = false, 2 = mostly false, 3 = more false than true, 4 = more true than false, 5 = mostly true, 6 = true). Each of the 40 items is denoted by three codes comprising of numbers and letters which were used for scoring. Simple scores for each of the nine specific scales (detailed above) were calculated by summing responses to items from each scale and dividing by the number of items. Negatively worded items (those denoted by * in the scoring instructions) were reversed scored before summing the responses. The PSDQ-S provides a concentrated view of physical self-concept, and is therefore considered more appropriate for sport and exercise research [54]. The PSDQ-S is considered to be psychologically robust, and has demonstrated good reliability and high construct validity [22].

Anthropometric and baseline measures

Anthropometric measures were obtained using the KaWe wall mounted stadiometer (Kirchner & Wilhelm GmbH & Co. KG, Germany), and OMRON (OMRON Healthcare Europe B.V., Netherlands) scales for body mass following the international society for the advancement of kinanthropometry standard procedures. Blood pressure was measured using a fully automated device (OMRON M3 comfort, OMRON Healthcare Europe B.V., Netherlands), following standard procedures (5-min rest in a seated position, with the back supported and the arm resting on a table at the level of the heart).

ALPHA-FIT test battery

The ALPHA-FIT test battery for adults aged 18–69 y was employed to measure seven field-based physical fitness components. As per the instruction manual [53], no warm-up or stretching was performed prior to testing. Practice trials were allowed as written in the test battery (please see Table 2), and when a second test trial was performed there was a 30 s rest period between trials (unless otherwise stated in Table 2). This was the only habituation to the tests. The following tests were performed in the same order; one leg stand, figure of eight run, handgrip strength, jump and reach, modified push-up, dynamic sit-up, and 2 km walk test. Investigators (3 male; 3 female) were trained to use standardised language and consistent encouragement. A description of the tests performed is provided in Table 2. The best test trial for each measure was used for analyses.

Tab. 2. Detailed description of the ALPHA-FIT field test battery for adults aged 18–69 y performed in the present study.
Detailed description of the ALPHA-FIT field test battery for adults aged 18–69 y performed in the present study.
Tests were performed in the order listed.

Statistical analyses

Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 25 (IBM, SPSS Inc, Chicago, IL, USA) and magnitude-based inferences (MBIs) customizable spreadsheets, using the raw data [55]. Prims8 (GraphPad Software, San Diego, CA, USA) was used to create the figures. Descriptives were checked and confirmed for assumptions of normality using quantile-quantile (Q-Q) plots (Grafen and Hails, 2002). Linear Mixed Models (LMM) were performed to examine the differences in ALPHA-FIT test results and physical self-concept between males and females, and ALPHA-FIT test results and school-based or extra-curricular PA groups. Fixed (gender, school-based or extra-curricular PA) and random (participants) effects for the LMM were fit for each dependent variable (30). For extra-curricular PA, data was analysed separately for males and females. The least squares mean test provided pairwise comparisons between the fixed effects. Step down Hommel p value adjustments were used for post hoc analysis in the event of a significant effect [56]. Normality and homogeneity of variance of the residuals were checked using Q-Q plots, and scatter plots respectively, and deemed plausible in each instance. This type of analysis was preferred as it can accurately model between-subject variability [5759]. Cohen’s d effect sizes (ES), and 90% confidence limits (CLs) were obtained using the MBI spreadsheets [60], and categorized using standardized thresholds of; < 0.2 trivial, 0.21–0.60 small, 0.61–1.20 moderate, 1.21–2.0 large, and > 2.0 very large [55]. These magnitudes were further interpreted using the following qualitative descriptions; <0.5 most unlikely, 0.5–5% very unlikely, 5–25% unlikely, 25–75% possibly, 75–95% likely, 95–99.5% very likely, and > 99.5% most likely [55]. Differences were considered meaningful if there was a > 75% likelihood of the observed effect exceeding the smallest worthwhile effect (0.20 x between subject SD) for the ALPHA-FIT tests, and half a step of the PSDQ-S Likert scale [61]. The smallest worthwhile change was defined as 0.20 x between subject SD for the ALPHA-FIT tests due to an absence of specific recommendations for this type of data within the existing literature. Data is reported as ES; ±90% CL. Data are reported as mean ± standard deviation (SD). Significance was accepted as p ≤ 0.05.

Results

BMI and engagement in school-based and/or extra-curricular PA are reported in Table 3.

Tab. 3. Participants BMI and engagement in school-based and extra-curricular physical activity (PA).
Participants BMI and engagement in school-based and extra-curricular physical activity (PA).
BMI is reported as a percentage for each category, and as an overall average (mean ± standard deviation).

Results from the LMM showed there were no differences for school-based PA (p ≥ 0.78) or for extra-curricular PA for males (p ≥ 0.26) or females (p ≥ 0.21) for the ALPHA-FIT test or physical self-concept. Therefore, in line with the principle of parsimony, only comparisons between males and females are reported below.

Physical fitness

Substantial differences in ALPHA-FIT test results between males and females were observed (Table 4). Individual results are shown in Fig 1, and average results in Table 4.

Fig. 1. Individual ALPHA-FIT test battery results for males and females.
Individual ALPHA-FIT test battery results for males and females.
Dashed horizontal line represents the mean.
Tab. 4. The ALPHA-FIT test results comparison for males and females.
The ALPHA-FIT test results comparison for males and females.
Data is presented as mean ± standard deviation. 90% confidence limit and probabilities that the likelihood of the observed effect demonstrated males were fitter, trivial differences, or females were fitter based on 0.2 x between subject SD are presented.

Physical self-concept

Substantial differences in PSDQ-S results between males and females were observed (Table 5). Individual results are shown in Fig 2, and average results in Table 5.

Fig. 2. Individual physical self-concept results for males and females measured using the physical self-description questionnaire (PDSQ-S).
Individual physical self-concept results for males and females measured using the physical self-description questionnaire (PDSQ-S).
Dashed horizontal line represents the mean.
Tab. 5. The physical self-concept physical self-description questionnaire (PSDQ-S) results for males and females.
The physical self-concept physical self-description questionnaire (PSDQ-S) results for males and females.
Data is presented as mean ± standard deviation. 90% confidence limit and probabilities that the likelihood of the observed effect demonstrated males scored higher, trivial differences, or females scored higher based on half a step point of the PSDQ-S are presented.

Discussion

This is the first study within Qatar to obtain gender stratified objective measures of physical fitness. The main findings showed on average males were observed to have greater power, strength and speed compared to females (Table 4). Endurance and coordination physical self-concept, on average was higher for males (Table 5). Anthropometry for our participants (Tables 1 and 2) was similar to previously published data of university students in Qatar [62], which reported that 34% males and 23% females were classified as overweight or obese.

Physical fitness results in the present study (Table 4) are lower than worldwide (e.g. Australia, UK, USA, Canada, Norway) age and gender stratified normative data for handgrip strength [37, 38] and push-up capacity [44, 47]—see Table 6 for direct comparisons. However, caution should be taken when comparing these results as different handgrip dynamometers [37], handgrip procedures (e.g. hand used, flexed elbow) [38], and push-up capacity test differences (e.g. modified v strict push-up) [45] compared to our study [53] will affect interpretation of the findings. Therefore, future studies should employ standardised procedures when possible. For example, the standard handgrip procedure for clinical assessment recommendations proposed by the American society of hand therapists should be followed to allow direct comparison with normative data [63]. Very limited physical fitness data is available for the Middle East [64], with no such data available for Qatar. Therefore, whilst the present data is a welcome addition to the global picture, the current absence of data from the immediate region, precludes geographically local comparisons. To contextualise, average handgrip strength for males (42.3 kg) and females (25.6 kg) in the present study was above the clinical cut-off for ‘muscle weakness’ in UK adults [30]. Furthermore, despite modified push-ups (i.e. easier than standard push-ups) being performed in our study [53] on average the total number of push-ups performed by males (n = 22), is significantly lower than the suggested number required (n = 40) to attenuate cardiovascular disease event risk [29]. Subsequently, these simple low-cost measures (i.e. handgrip strength and push-ups) could have clinical utility within Qatar.

Tab. 6. Handgrip strength and push-up capacity normative values in young adults worldwide compared to young Qatari adults (17–26 y) in the present study. Data is presented as mean ± standard deviation.
Handgrip strength and push-up capacity normative values in young adults worldwide compared to young Qatari adults (17–26 y) in the present study. Data is presented as mean ± standard deviation.

The gender stratified physical fitness results (Table 4) are similar to worldwide data (e.g. Switzerland, Chile), which typically shows poorer cardiorespiratory and muscular fitness for females compared to males [6567]. Indeed, in Qatar physical inactivity is more prevalent in females throughout childhood and adulthood [4, 48, 62, 68], likely due to cultural barriers. Given the relationship between PA and physical fitness, poorer performance in the ALPHA-FIT test results in our study (i.e. figure of eight, handgrip, dynamic sit up) for females, may be partially explained by higher physical inactivity for Qatari females.

Engagement in school-based PA was similar between males and females (Table 1), however, extra-curricular PA was much higher for males (77%), compared to females (35%). School-aged PA appears to be associated with adult PA [23], therefore, insufficient PA during childhood, could explain the poor results obtained in the present study. Indeed, within Qatar only 39% of children (6–12 y) met the school-based moderate-to-vigorous PA of ≥ 30 min per day [4], reflective of the ‘D’ grade obtained for PA in the Qatar Active Healthy Kids Report Card [5], significantly below other countries [6]. This may explain why there was no difference in physical fitness for those who stated they engaged in school-based PA in our study. Despite this there is a lack of objective data on the physical fitness of Qatari children [5]. Subsequently, an age and gender stratified physical fitness database representative of the Qatari population should be established.

The physical self-concept results we observed show that on average the participants had positive physical self-concept for all components (Fig 2). However, the variability of the data demonstrates that several participants scored negatively for some components, particularly body fat (Fig 2). On average males likely had ‘moderately’ higher physical self-concept for coordination and endurance, (Table 5). Similarly, male Iranian university students scored significantly higher for coordination, but also for health, body fat, global physical and global esteem physical self-concept components compared to females [50]. As shown in our data higher physical self-concept is associated with greater engagement in PA [51], and enhanced motor skill development [52]. Whilst the present study design cannot establish cause-and-effect, lower physical self-concept may help explain why females performed worse than males in the ALPH-FIT test. However, future research would be required in order to ascertain this. Low physical fitness and physical self-concept for females in the present study is likely a complex interaction of socio-ecological factors [69]. For example, Islamic traditional clothing (i.e. Abaya, Hijab), adopted widely by Qatari females in public places, has been considered an additional barrier regarding PA engagement [49]. Female students previously reported they did not like to wear sports clothes underneath their Abayas [70]. Additionally, women traditionally need to be accompanied by a male family member when going outdoors [69]. Furthermore, the normalization of increased post-puberty weight [71, 72], and a male preference for a ‘heavier’ shape in Arab women [73], could decrease physical self-concept. Evidently, Qatar is attempting to raise the profile of Qatari females in sport to inspire females to be more active [74], nevertheless females still face additional barriers and challenges to PA engagement, compared to males. Subsequently, gender-specific PA interventions for children and adults, which increase physical fitness are necessary to decrease early morbidity and mortality in this population.

Caution must be taken when interpreting these results, as the convenience sample was homogeneous, and therefore, these results may not be representative of the Qatari population as a whole. Additionally, all investigators were from the Sport Science Program at Qatar University, and therefore, the authors speculate that those who volunteered for the study were the more ‘health conscious’ students from Qatar University. Subsequently, it would be beneficial to administer physical fitness tests across all schools and workplaces within Qatar, to establish a comprehensive and accurate database of the Qatari population. Nevertheless, the utilisation of a field best test (i.e. ALPHA-FIT test battery), is a strength of this study as the measures are time-efficient, of low-cost, and can be easily administered with little equipment. However, there is currently no data examining the validity and reliability of the ALPHA-FIT test battery for adults, and therefore future research should either measure the test-retest reliability and/or use validated and reliable alternatives. It was clear from our results that the one leg stand (maximum 60 s), and dynamic sit-up test (maximum 15 reps), may not have been appropriate, given the majority of participants were able to reach the maximum performance for these tests (Fig 1). Alternative balance and dynamic strength tests should be employed in future investigations.

Conclusion

This is the first study to obtain objective measures of physical fitness within Qatar. Overall, the results appear lower than worldwide stratified normative data, and in agreement with previous research showing higher physical fitness and physical self-concept in males compared to females. The reasons for higher physical inactivity, and lower physical self-concept and physical fitness in females in particular, is presently unclear. Future research should focus on elucidating the aetiology of this, in order to enhance PA engagement, subsequently improving physical fitness, and reducing morbidity and mortality.

Supporting information

S1 Data [xlsx]
Raw data ALPHA FIT and PSQD-S.


Zdroje

1. Qatar National Physical Activity Guidelines. Qatar National Physical Activity Guidelines Qatar: Aspetar Orthopaedic & Sports Medicine Hospital; 2014. First:[72]. Available from: https://www.namat.qa/NamatImages/Publications/75/QATAR%20PA%20GUIDLINE%20ENGLISH.PDF.

2. Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, van Mechelen W, et al. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet (London, England). 2016;388(10051):1311–24. Epub 2016/08/01. doi: 10.1016/s0140-6736(16)30383-x 27475266.

3. World Health Organization. Physical activity fact sheet. In: Organization WH, editor. Geneva2018.

4. Zimmo L, Farooq A, Almudahka F, Ibrahim I, Al-Kuwari MG. School-time physical activity among Arab elementary school children in Qatar. BMC pediatrics. 2017;17(1):76-. doi: 10.1186/s12887-016-0775-7 28298199.

5. Ibrahim I, Al Hammadi E, Sayegh S, Zimmo L, Al Neama J, Rezeq H, et al. Results from Qatar's 2018 Report Card on Physical Activity for Children and Youth. Journal of physical activity & health. 2018;15(S2):S400–S1. Epub 2018/11/27. doi: 10.1123/jpah.2018-0502 30475130.

6. Aubert S, Barnes JD, Aguilar-Farias N, Cardon G, Chang CK, Delisle Nystrom C, et al. Report Card Grades on the Physical Activity of Children and Youth Comparing 30 Very High Human Development Index Countries. Journal of physical activity & health. 2018;15(S2):S298–S314. Epub 2018/11/27. doi: 10.1123/jpah.2018-0431 30475144.

7. Al-Kuwari MG, Ibrahim IA, Hammadi EMA, Reilly JJ. Results From Qatar’s 2016 Active Healthy Kids Report Card on Physical Activity for Children and Youth. Journal of Physical Activity and Health. 2016;13(11 Suppl 2):S246–S50. doi: 10.1123/jpah.2016-0397 27848747

8. De Miguel-Etayo P, Gracia-Marco L, Ortega FB, Intemann T, Foraita R, Lissner L, et al. Physical fitness reference standards in European children: the IDEFICS study. International Journal Of Obesity. 2014;38:S57. doi: 10.1038/ijo.2014.136 25376221

9. Dinubile NA. Youth Fitness—Problems and Solutions. Preventive Medicine. 1993;22(4):589–94. doi: 10.1006/pmed.1993.1053 8415512

10. Rowland T. Declining Cardiorespiratory Fitness in Youth: Fact or Supposition? Pediatric Exercise Science. 2002;14(1):1–8. doi: 10.1123/pes.14.1.1

11. Armstrong N, Tomkinson G, Ekelund U. Aerobic fitness and its relationship to sport, exercise training and habitual physical activity during youth. British journal of sports medicine. 2011;45(11):849. doi: 10.1136/bjsports-2011-090200 21836169

12. Catley MJ, Tomkinson GR. Normative health-related fitness values for children: analysis of 85347 test results on 9–17-year-old Australians since 1985. British journal of sports medicine. 2013;47(2):98. doi: 10.1136/bjsports-2011-090218 22021354

13. Tomkinson GR, Leger LA, Olds TS, Cazorla G. Secular trends in the performance of children and adolescents (1980–2000): an analysis of 55 studies of the 20m shuttle run test in 11 countries. Sports medicine (Auckland, NZ). 2003;33(4):285–300. Epub 2003/04/12. doi: 10.2165/00007256-200333040-00003 12688827.

14. Andersen LB, Hasselstrom H, Gronfeldt V, Hansen SE, Karsten F. The relationship between physical fitness and clustered risk, and tracking of clustered risk from adolescence to young adulthood: eight years follow-up in the Danish Youth and Sport Study. The international journal of behavioral nutrition and physical activity. 2004;1(1):6. Epub 2004/06/01. doi: 10.1186/1479-5868-1-6 15169561; PubMed Central PMCID: PMC416568.

15. Twisk JW, Kemper HC, van Mechelen W. Tracking of activity and fitness and the relationship with cardiovascular disease risk factors. Medicine and science in sports and exercise. 2000;32(8):1455–61. Epub 2000/08/19. doi: 10.1097/00005768-200008000-00014 10949012.

16. Kristensen PL, Wedderkopp N, Moller NC, Andersen LB, Bai CN, Froberg K. Tracking and prevalence of cardiovascular disease risk factors across socio-economic classes: a longitudinal substudy of the European Youth Heart Study. BMC Public Health. 2006;6:20. Epub 2006/01/31. doi: 10.1186/1471-2458-6-20 16441892; PubMed Central PMCID: PMC1403767.

17. Ruiz JR, Castro-Pinero J, Artero EG, Ortega FB, Sjostrom M, Suni J, et al. Predictive validity of health-related fitness in youth: a systematic review. British journal of sports medicine. 2009;43(12):909–23. Epub 2009/01/23. doi: 10.1136/bjsm.2008.056499 19158130.

18. Zaqout M, Michels N, Bammann K, Ahrens W, Sprengeler O, Molnar D, et al. Influence of physical fitness on cardio-metabolic risk factors in European children. The IDEFICS study. International journal of obesity (2005). 2016;40(7):1119–25. Epub 2016/02/10. doi: 10.1038/ijo.2016.22 26857382.

19. Olds T, Tomkinson G, Leger L, Cazorla G. Worldwide variation in the performance of children and adolescents: an analysis of 109 studies of the 20-m shuttle run test in 37 countries. Journal of sports sciences. 2006;24(10):1025–38. Epub 2006/11/23. doi: 10.1080/02640410500432193 17115514.

20. Tremblay MS, Shields M, Laviolette M, Craig CL, Janssen I, Connor Gorber S. Fitness of Canadian children and youth: results from the 2007–2009 Canadian Health Measures Survey. Health reports. 2010;21(1):7–20. Epub 2010/04/30. 20426223.

21. Ortega FB, Ruiz JR, Castillo MJ, Sjostrom M. Physical fitness in childhood and adolescence: a powerful marker of health. International journal of obesity (2005). 2008;32(1):1–11. Epub 2007/11/29. doi: 10.1038/sj.ijo.0803774 18043605.

22. N P, G R, H M. The Physical Self Description Questionnaire: Furthering research linking physical self-concept, physical activity and physical education. Australian Association for Research in Education Parramatta2005.

23. Telama R, Yang X, Viikari J, Valimaki I, Wanne O, Raitakari O. Physical activity from childhood to adulthood: a 21-year tracking study. American journal of preventive medicine. 2005;28(3):267–73. Epub 2005/03/16. doi: 10.1016/j.amepre.2004.12.003 15766614.

24. Wei M, Kampert JB, Barlow CE, Nichaman MZ, Gibbons LW, Paffenbarger J, Ralph S., et al. Relationship Between Low Cardiorespiratory Fitness and Mortality in Normal-Weight, Overweight, and Obese Men. Jama. 1999;282(16):1547–53. doi: 10.1001/jama.282.16.1547 10546694

25. Katzmarzyk PT, Church TS, Janssen I, Ross R, Blair SN. Metabolic Syndrome, Obesity, and Mortality. Diabetes Care. 2005;28(2):391. doi: 10.2337/diacare.28.2.391 15677798

26. Lavie CJ, McAuley PA, Church TS, Milani RV, Blair SN. Obesity and Cardiovascular Diseases. Implications Regarding Fitness, Fatness, and Severity in the Obesity Paradox. 2014;63(14):1345–54. doi: 10.1016/j.jacc.2014.01.022 24530666

27. Cohen DD, Voss C, Sandercock GR. Fitness Testing for Children: Let's Mount the Zebra! Journal of physical activity & health. 2015;12(5):597–603. Epub 2014/06/07. doi: 10.1123/jpah.2013-0345 24905807.

28. Artero EG, Lee D-c, Lavie CJ, España-Romero V, Sui X, Church TS, et al. Effects of muscular strength on cardiovascular risk factors and prognosis. Journal of cardiopulmonary rehabilitation and prevention. 2012;32(6):351–8. doi: 10.1097/HCR.0b013e3182642688 22885613.

29. Yang J, Christophi CA, Farioli A, Baur DM, Moffatt S, Zollinger TW, et al. Association Between Push-up Exercise Capacity and Future Cardiovascular Events Among Active Adult MenPush-up Exercise Capacity and Future Cardiovascular Events in Active Adult MenPush-up Exercise Capacity and Future Cardiovascular Events in Active Adult Men. JAMA Network Open. 2019;2(2):e188341–e. doi: 10.1001/jamanetworkopen.2018.8341 30768197

30. Celis-Morales CA, Welsh P, Lyall DM, Steell L, Petermann F, Anderson J, et al. Associations of grip strength with cardiovascular, respiratory, and cancer outcomes and all cause mortality: prospective cohort study of half a million UK Biobank participants. BMJ. 2018;361:k1651. doi: 10.1136/bmj.k1651 29739772

31. Beyer SE, Sanghvi MM, Aung N, Hosking A, Cooper JA, Paiva JM, et al. Prospective association between handgrip strength and cardiac structure and function in UK adults. PloS one. 2018;13(3):e0193124. doi: 10.1371/journal.pone.0193124 29538386

32. Wu Y, Wang W, Liu T, Zhang D. Association of Grip Strength With Risk of All-Cause Mortality, Cardiovascular Diseases, and Cancer in Community-Dwelling Populations: A Meta-analysis of Prospective Cohort Studies. Journal of the American Medical Directors Association. 2017;18(6):551.e17–.e35. doi: 10.1016/j.jamda.2017.03.011 28549705

33. Marsaux CF, Celis-Morales C, Hoonhout J, Claassen A, Goris A, Forster H, et al. Objectively Measured Physical Activity in European Adults: Cross-Sectional Findings from the Food4Me Study. PloS one. 2016;11(3):e0150902. Epub 2016/03/22. doi: 10.1371/journal.pone.0150902 26999053; PubMed Central PMCID: PMC4801355.

34. Kuh D, Bassey EJ, Butterworth S, Hardy R, Wadsworth ME. Grip strength, postural control, and functional leg power in a representative cohort of British men and women: associations with physical activity, health status, and socioeconomic conditions. The journals of gerontology Series A, Biological sciences and medical sciences. 2005;60(2):224–31. Epub 2005/04/09. doi: 10.1093/gerona/60.2.224 15814867.

35. Weston KL, Pasecinic N, Basterfield L. A Preliminary Study of Physical Fitness in 8- to 10-Year-Old Primary School Children From North East England in Comparison With National and International Data. Pediatric Exercise Science. 2019;17(0):1–9. doi: 10.1123/pes.2018-0135 30651046.

36. Aoyagi K, Ross PD, Nevitt MC, Davis JW, Wasnich RD, Hayashi T, et al. Comparison of performance-based measures among native Japanese, Japanese-Americans in Hawaii and Caucasian women in the United States, ages 65 years and over: a cross-sectional study. BMC geriatrics. 2001;1:3–. doi: 10.1186/1471-2318-1-3 11696243.

37. Bohannon RW, Peolsson A, Massy-Westropp N, Desrosiers J, Bear-Lehman J. Reference values for adult grip strength measured with a Jamar dynamometer: a descriptive meta-analysis. Physiotherapy. 2006;92(1):11–5. https://doi.org/10.1016/j.physio.2005.05.003.

38. Massy-Westropp NM, Gill TK, Taylor AW, Bohannon RW, Hill CL. Hand Grip Strength: age and gender stratified normative data in a population-based study. BMC research notes. 2011;4:127–. doi: 10.1186/1756-0500-4-127 21492469.

39. Mathiowetz V, Kashman N, Volland G, Weber K, Dowe M, Rogers S. Grip and pinch strength: normative data for adults. Archives of physical medicine and rehabilitation. 1985;66(2):69–74. Epub 1985/02/01. 3970660.

40. Hanten WP, Chen WY, Austin AA, Brooks RE, Carter HC, Law CA, et al. Maximum grip strength in normal subjects from 20 to 64 years of age. Journal of hand therapy: official journal of the American Society of Hand Therapists. 1999;12(3):193–200. Epub 1999/08/25. 10459527.

41. Rantanen T, Masaki K, Foley D, Izmirlian G, White L, Guralnik JM. Grip strength changes over 27 yr in Japanese-American men. Journal of applied physiology (Bethesda, Md: 1985). 1998;85(6):2047–53. Epub 1998/12/08. doi: 10.1152/jappl.1998.85.6.2047 9843525.

42. Wang Y-C, Bohannon RW, Li X, Sindhu B, Kapellusch J. Hand-Grip Strength: Normative Reference Values and Equations for Individuals 18 to 85 Years of Age Residing in the United States. Journal of Orthopaedic & Sports Physical Therapy. 2018;48(9):685–93. doi: 10.2519/jospt.2018.7851 29792107

43. Gilbertson L, Barber-Lomax S. Power and Pinch Grip Strength Recorded Using the Hand-Held Jamar® Dynamometer and B+L Hydraulic Pinch Gauge: British Normative Data for Adults. British Journal of Occupational Therapy. 1994;57(12):483–8. doi: 10.1177/030802269405701209

44. Kjær IGH, Torstveit MK, Kolle E, Hansen BH, Anderssen SA. Normative values for musculoskeletal- and neuromotor fitness in apparently healthy Norwegian adults and the association with obesity: a cross-sectional study. BMC sports science, medicine & rehabilitation. 2016;8:37–. doi: 10.1186/s13102-016-0059-4 27891234.

45. Brown DA, Miller WC. Normative data for strength and flexibility of women throughout life. European journal of applied physiology and occupational physiology. 1998;78(1):77–82. Epub 1998/07/11. doi: 10.1007/s004210050390 9660160.

46. Flodström F, Heijne A, Batt ME, Frohm A. THE NINE TEST SCREENING BATTERY—NORMATIVE VALUES ON A GROUP OF RECREATIONAL ATHLETES. International journal of sports physical therapy. 2016;11(6):936–44. 27904795.

47. Negrete RJ, Hanney WJ, Kolber MJ, Davies GJ, Ansley MK, McBride AB, et al. Reliability, Minimal Detectable Change, and Normative Values for Tests of Upper Extremity Function and Power. The Journal of Strength & Conditioning Research. 2010;24(12):3318–25. doi: 10.1519/JSC.0b013e3181e7259c 00124278-201012000-00017. 21088548

48. Sayegh S, Van Der Walt M, Al-Kuwari MG. One-year assessment of physical activity level in adult Qatari females: a pedometer-based longitudinal study. International journal of women's health. 2016;8:287–93. doi: 10.2147/IJWH.S99943 27486343.

49. Klautzer L, Becker J, Mattke S. The curse of wealth—Middle Eastern countries need to address the rapidly rising burden of diabetes. International journal of health policy and management. 2014;2(3):109–14. doi: 10.15171/ijhpm.2014.33 24757686.

50. Arazi H, Hosseini R. A Comparison of Physical Self-Concept between Physical Education and Non- Physical Education University Students. 2013;5(10):6. https://doi.org/10.2478/tperj-2013-0001.

51. Lemoyne J, Valois P, Guay F. Physical self-concept and participation in physical activity in college students. Medicine and science in sports and exercise. 2015;47(1):142–50. Epub 2014/05/16. doi: 10.1249/MSS.0000000000000378 24824773.

52. Marsh HW, Papaioannou A, Theodorakis Y. Causal ordering of physical self-concept and exercise behavior: reciprocal effects model and the influence of physical education teachers. Health psychology: official journal of the Division of Health Psychology, American Psychological Association. 2006;25(3):316–28. Epub 2006/05/25. doi: 10.1037/0278-6133.25.3.316 16719603.

53. Suni J, Husu P, Rinne M. Fitness for Health: The ALPHA-FIT Test Battery for Adults Aged 18–69. In: Research UIfHP, editor. Tampere, Finland: European Union, DG SANCO; 2009.

54. Marsh HW, Martin AJ, Jackson S. Introducing a Short Version of the Physical Self Description Questionnaire: New Strategies, Short-Form Evaluative Criteria, and Applications of Factor Analyses. Journal of Sport and Exercise Psychology. 2010;32(4):438–82. doi: 10.1123/jsep.32.4.438 20733208

55. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Medicine and science in sports and exercise. 2009;41(1):3–13. Epub 2008/12/19. doi: 10.1249/MSS.0b013e31818cb278 19092709.

56. Hommel G. A stagewise rejective multiple test procedure based on a modified Bonferroni test. Biometrika. 1988;75(2):383–6. doi: 10.1093/biomet/75.2.383

57. Lo S, Andrews S. To transform or not to transform: using generalized linear mixed models to analyse reaction time data. Frontiers in psychology. 2015;6:1171–. doi: 10.3389/fpsyg.2015.01171 26300841.

58. Vandenbogaerde TJ, Hopkins WG. Monitoring acute effects on athletic performance with mixed linear modeling. Medicine and science in sports and exercise. 2010;42(7):1339–44. Epub 2010/01/14. doi: 10.1249/MSS.0b013e3181cf7f3f 20068494.

59. West BT, Welch KB, Galecki AT. Linear Mixed Models: A Practical Guide Using Statistical Software. 2nd ed: Taylor and Francis; 2014.

60. Hopkins WG. A Spreadsheet for Deriving a Confidence Interval, Mechanistic Inference and Clinical Inference from a P Value. 2007;11:16–20.

61. Hopkins WG. Linear models and effect magnitudes. Sportscience. 2010;14(49–58).

62. Al-Nakeeb Y, Lyons M, Dodd LJ, Al-Nuaim A. An investigation into the lifestyle, health habits and risk factors of young adults. International journal of environmental research and public health. 2015;12(4):4380–94. Epub 2015/04/29. doi: 10.3390/ijerph120404380 25913183; PubMed Central PMCID: PMC4410253.

63. Fess EE. Grip Strength. In: Casanova JS, editor. Clinical assessment recommendations. 2nd ed. Chicago: American Society of Hand Therapists; 1992. p. 41–5.

64. Al Barwani S, Al Abri M, Al Hashmi K, Al Shukeiry M, Tahlilkar K, Al Zuheibi T, et al. Assessment of aerobic fitness and its correlates in Omani adolescents using the 20-metre shuttle run test: A pilot study. Journal for scientific research Medical sciences. 2001;3(2):77–80. 24019712.

65. Jones MT, Jagim AR, Haff GG, Carr PJ, Martin J, Oliver JM. Greater Strength Drives Difference in Power between Sexes in the Conventional Deadlift Exercise. Sports (Basel, Switzerland). 2016;4(3):43. doi: 10.3390/sports4030043 29910289.

66. Al-Mallah MH, Juraschek SP, Whelton S, Dardari ZA, Ehrman JK, Michos ED, et al. Sex Differences in Cardiorespiratory Fitness and All-Cause Mortality: The Henry Ford ExercIse Testing (FIT) Project. Mayo Clinic proceedings. 2016;91(6):755–62. Epub 05/06. doi: 10.1016/j.mayocp.2016.04.002 27161032.

67. Gómez-Campos R, Andruske CL, Arruda Md, Sulla-Torres J, Pacheco-Carrillo J, Urra-Albornoz C, et al. Normative data for handgrip strength in children and adolescents in the Maule Region, Chile: Evaluation based on chronological and biological age. PloS one. 2018;13(8):e0201033–e. doi: 10.1371/journal.pone.0201033 30091984.

68. Daradkeh G, Al-Muhannadi A, Chandra P, Al-Hajr M, Al-Muhannadi H. Physical Activity Profile of Adolescence in the State of Qatar. ARC Journal of Nutrition and Growth. 2015;1(1):7.

69. Benjamin K, Donnelly TT. Barriers and facilitators influencing the physical activity of Arabic adults: A literature review. Avicenna. 2013;2013(1):8. doi: 10.5339/avi.2013.8

70. Berger G, Peerson A. Giving young Emirati women a voice: participatory action research on physical activity. Health & place. 2009;15(1):117–24. Epub 2008/06/03. doi: 10.1016/j.healthplace.2008.03.003 18515171.

71. Batnitzky A. Obesity and household roles: gender and social class in Morocco. Sociology of health & illness. 2008;30(3):445–62. Epub 2008/04/01. doi: 10.1111/j.1467-9566.2007.01067.x 18373507.

72. Batnitzky AK. Cultural constructions of "obesity": understanding body size, social class and gender in Morocco. Health & place. 2011;17(1):345–52. Epub 2010/12/28. doi: 10.1016/j.healthplace.2010.11.012 21185216.

73. Pope HG Jr., Gruber AJ, Mangweth B, Bureau B, deCol C, Jouvent R, et al. Body image perception among men in three countries. The American journal of psychiatry. 2000;157(8):1297–301. Epub 2000/07/27. doi: 10.1176/appi.ajp.157.8.1297 10910794.

74. Dun S. Role Models in the Media and Women's Sport Participation in Qatar. NIDABA—An Interdisciplinary Journal of Middle East Studies. 2016;1(1):48–58.


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