Literature DB >> 34732485

Physical activity and sedentary behaviour in current and former recreational and elite cricketers: a cross-sectional study.

Nirmala K Panagodage-Perera1,2,3,4, Garrett Scott Bullock5,6, Nigel K Arden2, Stephanie R Filbay2,7.   

Abstract

OBJECTIVE: Former sports participants do not necessarily maintain high levels of physical activity (PA) across their lifespan. Considering physical inactivity in former athletes is associated with an increased susceptibility to inactivity-related chronic diseases, research into PA behaviours in cricketers of all playing-standards is needed. The objective was to (1) describe PA and sedentary behaviour in current and former cricketers, and (2) determine the odds of current, former, recreational and elite cricketers meeting PA guidelines and health-enhancing PA (HEPA) compared with the general population. STUDY
DESIGN: Cross-sectional survey.
SETTING: Questionnaire response, UK. PARTICIPANTS: 2267 current and former cricketers (age: 52±15 years, male: 97%, current: 59%, recreational: 45%) participated. Cricketers were recruited through the Cricket Health and Wellbeing Study and met eligibility requirements (aged ≥18 years; played ≥1 year of cricket). PRIMARY AND SECONDARY OUTCOMES: Age-matched and sex-matched data from Health Survey for England 2015 (n=3201) was used as the general population-based sample. The International Physical Activity Questionnaire Short-Form assessed PA. Logistic regression, adjusted for age, sex, body mass index, alcohol consumption, smoking, education and ethnicity were used to meet the second aim.
RESULTS: 90% of current and 82% of former cricketers met UK PA guidelines. Current (OR 1.26, 95% CI 1.06 to 1.49)) and elite (OR 1.35, 95% CI 1.01 to 1.78) cricketers had greater odds of meeting UK PA guidelines, and elite cricketers had greater odds of HEPA (OR 1.19, 95% CI 1.02 to 1.42), compared with the general population. Former cricketers had reduced odds (OR 0.78, 95% CI 0.62 to 0.99) of meeting the UK PA guidelines compared with the general population.
CONCLUSIONS: Elite cricketers had a greater odds of meeting the PA guidelines and HEPA, compared with the general population. Former cricketers demonstrated reduced odds of meeting the PA guidelines compared with the general population. Strategies are needed to transition cricketers to an active lifestyle after retirement, since former cricketers demonstrated reduced odds of meeting the PA guidelines compared with the general population. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; preventive medicine; sports medicine

Mesh:

Year:  2021        PMID: 34732485      PMCID: PMC8572389          DOI: 10.1136/bmjopen-2021-052014

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Self-reported measures of physical activity (PA) are a widely used method to evaluate PA at the population level. The survey instrument was developed through patient and public involvement, and used validated questions from previous studies. Practical, self-report methods can lead to inaccuracies due to recall bias and response bias (eg, social desirability). Self-report data can overestimate or underestimate true PA, inactivity and sedentary behaviour. Female cricketers and ethnic minority groups were under-represented in our data.

Introduction

Inactivity is a major public health concern, and approximately 20 million adults (39%) in the UK fail to meet physical activity (PA) recommendations.1 Physical inactivity is the fourth-leading risk factor for mortality (ranked ahead of obesity), contributing to one-in-six deaths from any cause worldwide.2 In addition, large amounts of sedentary time can have adverse health outcomes (even among people who meet recommended PA levels3 including all-cause mortality, type-2 diabetes, cancer and metabolic dysfunction).4 5 Sedentary behaviour displaces time spent in moderate-to-vigorous intensity PA, compromising metabolic health.6 If the prevalence of inactivity was decreased by 10%–25%, an estimated 533 000–1.3 million global deaths could be averted annually.2 Cricket is a bat-and-ball sport played in over 125 countries,7 by individuals of all ages and abilities. Playing formats are designated into several hours (twenty20 cricket), 1 day (one day internationals), and 5 consecutive days (test cricket) matches. Although the 2011 Compendium of Physical Activities categorised cricket as a source of moderate-intensity PA,8 the nature of cricket means that some players might be sitting for prolonged periods while their team is batting, or standing for prolonged periods in specific fielding positions. However, scientific data exploring the relationship between playing cricket, PA and sedentary behaviour among cricketers at all standards of play, particularly at recreational level, remain surprisingly sparse. Additionally, only one qualitative study has investigated PA behaviour in former cricketers.9 This gap in research is significant because, contrary to popular assumptions, former sports participants do not necessarily maintain a high level of PA across their lifespan.10 11 Injuries, disabilities and older age have been identified as barriers for sport and PA participation and have led to sport retirement.12 Former cricketers are predisposed to joint pain, osteoarthritis and physical impairments compared with the general population,9 13–16 which could negatively impact PA levels.17 Considering physical inactivity in former athletes is associated with an increased susceptibility to inactivity-related chronic diseases,18 research into PA behaviours in former cricketers of all playing-standards is needed. Within current, former, recreational and elite cricketer subgroups, this study aimed to: Describe PA and sedentary behaviour. Determine the odds of meeting PA guidelines and health-enhancing PA (HEPA) compared with a general population sample.

Methods

Study design and recruitment

This cross-sectional study was a part of the Cricket Health and Wellbeing Study, which was developed in collaboration with England and Wales Cricket Board; with input from current and former cricketers, as well as individuals with experience coaching cricket, sports medicine clinicians, and individuals with cricket-related research expertise. The Cricket Health and Wellbeing Study survey was an open survey containing 75 questions (10 per page, 8 pages total), which could not be randomised or alternated, and was administered online from 13 March 2017 to 14 May 2017 (online supplemental appendix 1 for questionnaire). Participants were informed of the principal investigator, their data would be protected through a deidentified encrypted database, and that their data would be stored at the University of Oxford. An incentive was detailed in which a signed cricket bat could be won by participant. An email invitation was received by 28 152 individuals who were registered as current or former cricket players in England or Wales, from a variety of playing standards. Inclusion criteria were (1) aged ≥18 years, (2) had played cricket for ≥1 season and (3) no history of memory impairment. Participants had the ability to skip questions and return to answer later and save their work for later completion. Participants Research Electronic Data Capture (REDCap) software was used to formulate and deliver the questionnaire. Participant’s IP address was used for unique identification with each participant assigned a unique identification number. No time frame was used for survey completion. The RedCap database was pilot-tested by three researchers for potential errors, branching logic and overall usability.19 20 The RedCap software allowed participants to save their answers to the survey questions and complete at a later date if desired.

Patient and public involvement

Prior to questionnaire design, qualitative interviews were performed with current and former cricketers from recreational and elite standards of play investigating PA and quality of life. These qualitative findings demonstrated a need for continued research into the relationship between cricket participation, PA, and health. Collaborating with cricket stakeholders, including coaches, current and former cricketers, and medical professionals that treat cricketers, the Cricket Health and Wellbeing questionnaire was developed and refined. Information has been disseminated to these key stakeholder groups through group meetings, and further disseminated through conferences, publications and invited presentations.

Outcomes

Physical activity

PA levels were assessed with the International Physical Activity Questionnaire Short-Form (IPAQ-SF)21 and interpreted with reference to the UK PA guidelines and classification criteria for HEPA.22 Meeting the UK PA guidelines was defined as performing at least 150 min/week of moderate-intensity PA, or 75 min/week of vigorous intensity PA, or an equivalent combination of these.22 HEPA was been defined as performing 1500 metabolic equivalent (MET)-minutes/week of total vigorous-intensity PA or 3000 MET-minute/week of total PA according to IPAQ criteria.21 Whereby one MET is defined as the energy cost of sitting quietly and is equivalent to a caloric consumption of 1 kcal/kg/hour.

Sedentary behaviour

No current guidelines exist for sedentary behaviour such as sitting time or how to break up duration of sedentary time throughout the day, owing to the complex relationship between the effects of sedentary time displacing time spent in moderate-to-vigorous PA.6 We categorised sedentary behaviour into 0–3, >3 to 7 and >7 hours/day.23

Playing status and playing standard

Participants were asked the following questions concerning playing status, ‘What is your current cricket playing status?’ Responses included: ‘Currently playing cricket,’ ‘No longer playing cricket,’ and ‘Plan to return to cricket.’ Participants were stratified into current and former cricketers (no longer playing cricket, or plan to return to cricket). Playing standard was assessed with the following question, ‘What was the highest standard of cricket that you played for at least one season?’ Responses included: international; county/premier league; academy or county age group; university; school; village or social; don’t know. Participants were stratified into recreational (university, school, village or social) and elite (international or county/premier league, academy or county age group). ‘Don’t know’ responses were excluded from analyses.16 24

Statistical analysis

Prior to analyses, data were assessed for missing data (age <1%, gender <1%, ethnicity <1%, smoking status <1%, education <1%, comorbidities 1.1%, IPAQ-SF 5.9%, body mass index (BMI) 6.3%, alcohol consumption 1.1%). Due to few missing data, a complete-case analysis was performed. Data were analysed using SPSS V.25.0 (IBM SPSS Statistics 2017), and descriptive statistics were used to describe participant characteristics and cricketing history. PA and sedentary behaviour in current, former, recreational and elite cricketers were analysed using descriptive statistics by age group. To determine the odds of current, former, recreational and elite cricketers meeting UK PA guidelines and HEPA compared with a general population, binary logistic regression analyses were performed and crude and adjusted (adjusted for age, gender (male reference), alcohol consumption (units of alcohol over a typical week, categorised as 0 units (reference), 1–14 unit, ≥15 units), smoking status (current vs former/never (reference)), highest level of education (university education (reference) vs non-university education), ethnicity (Caucasian (reference) vs Asian vs other) OR and 95% CI were estimated. The decision on which variables to adjust for was based on previous qualitative work,9 clinical reasoning and current evidence. A full description of these variables is provided in online supplement. All underlying assumptions for logistic regression were evaluated and met. Health Survey for England (HSE) (an annual cross-sectional survey of adults and children living in England) data25 collected in 2015 was used as the representative population-based comparison cohort (study number: 8280). To be able to compare against a non-cricket playing population, from the original N=13 748 HSE cohort, data from 148 individuals who were current or former cricketers were excluded from the comparison dataset. Additionally, data from individuals aged <18 years, those who did not self-complete the survey and people with missing data for demographic and PA variables were excluded (figure 1). The remaining sample was matched for gender (% of individuals identifying as male and female) and age (% of individuals in each age group: 18–29 years; 30–49 years; 50–69 years; 70–89 years) to ensure that the general population sample were comparable in terms of age and gender with the sample of cricketers.26 A total of 3201 age-matched and sex-matched participants were included. Extracted data from the HSE included demographic characteristics (ie, ethnicity, BMI, level of education, smoking status and alcohol consumption), PA and sitting time, which were evaluated through the IPAQ-SF. The same methods were used to manage and categorise data from the HSE and Cricket Health and Wellbeing Study (CHWS), to enable comparison between cohorts.
Figure 1

Participant flow from current and former cricketers and general population sample.

Participant flow from current and former cricketers and general population sample.

Results

Participant characteristics

The final analysis included data from 2267 current (n=1334, 59%) and former (n=933, 41%) cricketers and 3201 participants from a general population sample (figure 1 and table 1). On average, respondents started to play cricket aged 12±6 (range 3–72) years, and played for 29±15 (range 1 to 68) seasons, with 85% of respondents playing >10 games per season. The most common highest standard of play was at the village/social level (45%) (table 2). PA was ‘very important’ for 65% (71% of current and 56% of former cricketers) of the respondents. One-in-three respondents (39% of current and 27% of former cricketers) were satisfied with their current activity level (table 3). The mean age that former cricketers played their last match was 48±12 (range 14–82) years. Common reasons for ceasing cricket participation were time commitments (39%), age (21%), injury (16%), no longer enjoying or good at playing cricket (12%), personal reasons (6%) and chronic pain (6%).
Table 1

Characteristics of current (n=1334) and former cricketers (n=933) and a sample of the general population (n=3201)

Current cricketersn (%)Former cricketersn (%)All cricketersn (%)General populationn (%)
Participant characteristics
Age
 18–29 years193 (14.5)24 (2.6)218 (9.6)433 (13.5)
 30–49 years566 (42.5)163 (17.5)730 (32.2)1127 (35.2)
 50–69 years536 (40.2)557 (59.8)1095 (48.3)1196 (37.4)
 70–89 years38 (2.9)188 (20.2)226 (10.0)445 (13.9)
Sex
 Male1288 (97.1)902 (97.4)2194 (97.2)3090 (96.5)
 Female39 (2.9)24 (2.6)63 (2.8)101 (3.5)
 Ethnicity
 Caucasian1166 (88.3)859 (93.2)2029 (90.3)2849 (89.1)
 Asian131 (9.9)48 (5.2)179 (8.0)186 (5.8)
 Other24 (1.8)15 (1.6)39 (1.7)164 (5.1)
BMI (kg/m2)
 <18.46 (0.5)0 (0)7 (0.3)37 (1.3)
 18.5–24.9387 (31.0)208 (23.8)595 (27.9)791 (27.2)
 25–29.9599 (47.9)413 (47.2)1013 (47.6)1213 (41.7)
 30–39.9239 (19.1)228 (26.1)469 (22.0)788 (27.1)
 >4019 (1.5)25 (2.9)45 (2.1)77 (3.1)
Highest level of education
 Higher education (university degree, masters, PhD)655 (49.5)373 (40.4)1029 (45.7)909 (34.9)
 Further education (certificate, diploma)267 (20.2)251 (27.2)519 (23.1)434 (16.6)
 A level166 (12.5)108 (11.7)275 (12.2)511 (19.6)
 GCSE/O level192 (14.5)148 (16.0)341 (15.1)582 (22.3)
 Other43 (3.3)44 (4.8)87 (3.9)171 (6.6)
Smoking status
 Never or ex-smoker1218 (91.6)869 (93.7)2091 (92.5)2563 (80.2)
 Current smoker112 (8.4)58 (6.3)170 (7.5)632 (19.8)
 Alcohol consumption over a typical week (units)
 Does not consume alcohol196 (14.9)154 (16.6)350 (15.6)691 (21.8)
 Consumes 1–14 units of alcohol per week817 (62.1)540 (58.3)1357 (60.5)1463 (46.2)
 Exceeds UK alcohol guidelines (≥15 units per week)44303 (23.0)233 (25.1)536 (23.9)1013 (32.0)

GCSE/O = General Certificate of Secondary Education or O-Level Education

BMI, body mass index.

Table 2

Cricket and physical activity history in current and former cricketers

Current cricketers n (%)Former cricketers n (%)All cricketers n (%)
Cricket history
 Seasons played28±15 (range 1–68)30±14 (range 1–66)29±15 (range 1–68)
Games played per season
 >10 games1136 (85.5)776 (84.8)1915 (85.2)
 6–10 games140 (10.5)79 (8.6)219 (9.7)
 1–5 games53 (4.0)60 (6.6)114 (5.1)
 Age at first game (years)12±7 (range 3–72)12±5 (range 3–55)12±6 (range 3–72)
Highest playing standard
 Village or social563 (43.4)427 (46.8)992 (44.8)
 School81 (6.3)53 (5.8)135 (6.1)
 University135 (10.4)85 (9.3)220 (9.9)
 Academy/county age group191 (14.7)100 (11.0)292 (13.2)
 County/premier league309 (23.8)238 (26.1)547 (24.7)
 International17 (1.3)10 (1.1)27 (1.2)
Main playing position*
 All-rounder577 (34.9)343 (30.1)922 (33.0)
 Batter455 (27.5)354 (31.1)810 (29.0)
 Bowler398 (24.1)274 (24.0)673 (24.1)
 Wicketkeeper222 (13.4)169 (14.8)391 (14.0)
Cricket injury leading to >4 weeks of reduced participation in exercise, training or sport
 No659 (50.1)522 (57.4)1183 (53.0)
 Yes657 (49.9)388 (42.6)1047 (47.0)
 Physical activity history
Other sport participation for at least one season/year*
 Football794 (24.9)535 (24.5)1331 (24.8)
 Golf408 (12.8)332 (15.2)742 (13.8)
 Rugby367 (11.5)279 (12.8)647 (12.0)
 Tennis/Squash312 (9.8)224 (10.2)536 (10.0)
 Running307 (9.6)187 (8.6)495 (9.2)
 Cycling277 (8.7)154 (7.0)432 (8.0)
 Swimming299 (7.2)141 (6.5)371 (6.9)
 Hockey163 (5.1)130 (5.9)293 (5.4)
 Track and field95 (3.0)66 (3.0)161 (3.0)
 Other231 (7.3)138 (6.3)369 (6.9)
Importance of beingphysically active
 Very important915 (71.2)494 (55.6)1412 (64.8)
 Fairly important342 (26.6)341 (38.4)684 (31.4)
 Not important†29 (2.3)53 (6.0)82 (3.8)
Satisfied with currentactivity level
 No786 (61.1)1334 (72.6)1436 (65.9)
 Yes500 (38.9)244 (27.4)744 (34.1)

*Multiple responses were allowed, data are presented as a percentage of total responses.

†‘Not that important’ and ‘not at all important’ responses were combined.

Table 3

Logistic regression analysis investigating odds of current, former, recreational and elite cricketers meeting PA guidelines and HEPA compared with a general population sample

UK PA guidelines†Health-enhancing PA‡
Playing status
 Current cricketers (n=1207)Crude OR (95% CI)1.89 (1.53 to 2.34)***1.15 (1.01 to 1.31)
Adjusted* OR (95% CI)1.40 (1.11 to 1.77)**1.08 (0.93 to 1.25)
 Former cricketers (n=871)Crude OR (95% CI)0.97 (0.79 to 1.19)0.84 (0.72 to 0.98)*
Adjusted* OR (95% CI)0.78 (0.62 to 0.99)*0.89 (0.75 to 1.05)
 General population (n=3201)Reference group
Playing standard
 Elite cricketers (n=780)Crude OR (95% CI)1.72 (1.35 to 2.20)***1.27 (1.08 to 1.49)**
Adjusted* OR (95% CI)1.40 (1.07 to 1.83)*1.26 (1.06 to 1.49)**
 Recreational cricketers (n=1214)Crude OR (95% CI)1.28 (1.05 to 1.54)*0.89 (0.79 to 1.02)
Adjusted* OR (95% CI)0.97 (0.77 to 1.18)0.87 (0.75 to 1.01)
 General population (n=3201)Reference group

Recreational cricketers=highest level of play: village/social or school/university.

Elite cricketers=highest level of play: international, county/premier league, academy or county age group.

*P≤0.05; **p≤0.01; ***p<0.001.

†Adjusted for age, sex, alcohol consumption, smoking status, level of education and ethnicity.

‡The reference category is not meeting UK PA guidelines

§The reference category is not meeting health-enhancing PA.

HEPA, health-enhancing PA; PA, physical activity.

Characteristics of current (n=1334) and former cricketers (n=933) and a sample of the general population (n=3201) GCSE/O = General Certificate of Secondary Education or O-Level Education BMI, body mass index. Cricket and physical activity history in current and former cricketers *Multiple responses were allowed, data are presented as a percentage of total responses. †‘Not that important’ and ‘not at all important’ responses were combined. Logistic regression analysis investigating odds of current, former, recreational and elite cricketers meeting PA guidelines and HEPA compared with a general population sample Recreational cricketers=highest level of play: village/social or school/university. Elite cricketers=highest level of play: international, county/premier league, academy or county age group. *P≤0.05; **p≤0.01; ***p<0.001. †Adjusted for age, sex, alcohol consumption, smoking status, level of education and ethnicity. ‡The reference category is not meeting UK PA guidelines §The reference category is not meeting health-enhancing PA. HEPA, health-enhancing PA; PA, physical activity.

PA and sedentary behaviour

Cricketers reported performing 2560 (722–4398) METS per week. The UK PA guidelines were met by 89.4% of elite cricketers, 86.2% of recreational cricketers and 83.0% of the general population sample (figure 2). The most inactive subgroup of cricketers were former cricketers aged 30–49 years, whereby 26% did not meet the PA guidelines and 32% were achieving HEPA (figure 2). Current, former, recreational and elite cricketers were less sedentary, compared with the age-matched general population sample (figure 3).
Figure 2

Physical activity (PA) levels in current and former elite and recreational cricketers, and a general population-based sample meeting PA guidelines=150 min/week of moderate-intensity PA, 75 min/week of vigorous-intensity PA or an equivalent combination of these. Defined as performing 1500 MET-min/week of total vigorous-intensity PA or 3000 MET-min/week of total PA according to IPAQ criteria. Recreational cricketers=highest level of play: village/social or school/university high-performance cricketers=highest level of play at an elite level: international, county/premier league, academy or county age group. HEPA, health-enhancing PA; MET, metabolic equivalent.

Figure 3

Time spent sitting categorised by age group in current and retired cricketers, elite and recreational cricketers, compared against a non-cricket playing general population sample recreational cricketers=highest level of play: village/social or school/university high-performance cricketers=highest level of play at an elite level: international, county/premier league, academy or county age group.

Physical activity (PA) levels in current and former elite and recreational cricketers, and a general population-based sample meeting PA guidelines=150 min/week of moderate-intensity PA, 75 min/week of vigorous-intensity PA or an equivalent combination of these. Defined as performing 1500 MET-min/week of total vigorous-intensity PA or 3000 MET-min/week of total PA according to IPAQ criteria. Recreational cricketers=highest level of play: village/social or school/university high-performance cricketers=highest level of play at an elite level: international, county/premier league, academy or county age group. HEPA, health-enhancing PA; MET, metabolic equivalent. Time spent sitting categorised by age group in current and retired cricketers, elite and recreational cricketers, compared against a non-cricket playing general population sample recreational cricketers=highest level of play: village/social or school/university high-performance cricketers=highest level of play at an elite level: international, county/premier league, academy or county age group.

The odds of current, former, recreational and elite cricketers meeting PA guidelines and HEPA compared with a general population sample

After adjusting for covariates, current cricketers had a 1.3 (95% CI 1.0 to 1.7) greater odds of meeting UK PA guidelines, and former cricketers had a 0.78 (95% CI 0.62 to 0.99) reduced odds of meeting the UK PA guidelines, compared with the general population sample. The crude analysis showed an increased odds of HEPA for current cricketers (1.15 (95% CI 1.01 to 1.31)) and a reduced odds of HEPA for former cricketers (0.84 (95% CI 0.72 to 0.98)), compared with the general population sample, although these relationships did not remain after adjusting for covariates (table 3). After adjusting for covariates, elite cricketers had a greater odds of meeting the UK PA guidelines (1.35 (95% CI 1.01 to 1.78)) and HEPA (1.19 (95% CI 1.02 to 1.42)) compared with the general population sample. The crude analysis found a greater odds of meeting the UK PA guidelines (1.28 (95% CI 1.05 to 1.54)) in recreational cricketers compared with the general population, however, this relationship did not remain after adjusting for covariates (table 3).

Discussion

Our results suggest that cricket participation at a high standard is likely to provide a sufficient source of PA, although the PA benefits of cricket are less apparent at a recreational level. Of concern was that former cricketers had a reduced odds of meeting UK PA guidelines compared with an age and sex matched general population sample.

Cricket as a lifelong PA

There is a substantial body of evidence highlighting that increased levels of PA can bring a wide range of health benefits for individuals and communities.27–31 Often, PA participation is not only a planned behaviour with intention; it can become a routine incorporated into everyday life, performed with a degree of automaticity (ie, habit).32 PA habits established in childhood are carried into adulthood through adolescence.33 As expected, compared with an age-matched and sex-matched general population, current and elite cricketers reported higher PA levels. However, recreational cricketers did not demonstrate differences in PA levels compared with the general population. These discrepancies may be due to the contrasting training and competition requirements of elite and recreational cricketers.34 Based on these findings, healthcare providers should be aware that participation in recreational cricket does not necessarily result in meeting the PA guidelines. Some recreational cricketers may benefit from strategies to increase PA levels. It should be noted that although cricket may provide a sufficient source of PA, our results suggest former cricketers may not maintain PA levels after ceasing to play the sport. A busy lifestyle and time constraints have been identified as barriers to maintaining a physically active lifestyle in former professional cricketers.9 Our findings corroborate with this research, since more than one in three former cricketers cited time constraints as the main reason for cricket retirement. The average age for ceasing cricket participation was 48 years, potentially owing to the time pressures individuals’ face in their multiple roles during this stage of life. Therefore, to sustain lifelong PA, it is crucial to make sporting activities more accessible and time efficient. Cricket matches have historically been played over entire days, but with the introduction of Twenty20 cricket, shorter formats of the game are now offered. Promoting the shorter format may allow for greater cricket participant retention.

Inactivity and sedentary behaviour in former cricketers

Understanding the factors affecting inactivity and sedentary behaviour is particularly important when many countries, including the UK, are attempting to increase the population’s activity levels. Public Health England and other organisations have a strong focus on getting as many people as active as possible for as long as possible.35 While attempts to address lifelong PA often focus on youth and adolescents, the needs of older adults and retired sport participants are rarely considered by sporting organisations and policy-makers. We found that both current and former cricketers, at high and low standards of play, were less sedentary than the general population. However, reported time spent sitting was still high, suggesting, further exploration into barriers to decrease sitting time. Strong evidence demonstrates the existence of a dose-response relationship between all-cause mortality and sedentary behaviour.4 6 23 36 Spending large amounts of time being sedentary may increase the risk of some health outcomes, even among people who are active at the recommended levels.3 Sedentary behaviour is independently associated with all-cause mortality, type 2 diabetes, some types of cancer and metabolic dysfunction.3 5 As a result, promoting sport participation as a PA intervention may potentially lead to decreased adult sedentary habits.

Methodological considerations

Self-reported measures of PA (eg, IPAQ)37 are a widely used method to evaluate PA at the population level. However, practical, self-report methods can lead to inaccuracies due to recall bias38 and response bias (eg, social desirability).39 40 Consequently, self-report data can over- or underestimate true PA, inactivity and sedentary behaviour.41 The correlations between self-report and direct (eg, accelerometer) measures of PA was low-to-moderate.42 Though, the health-based PA recommendations were based on studies that used self-reported PA data.22 Invited participants were detailed the inclusion and exclusion criteria during recruitment and could self-select for study participation. Due to this recruitment strategy questionnaire response rate nor responder bias can be calculated. Nevertheless, there potentially is non-response bias from this survey, which may have affected the reliability and validity of our data. Also, due to the membership of the email databases used for recruitment, there were few females and ethnic minority groups. As a result, female cricketers and ethnic minority groups were under-represented in our data. Therefore, these findings should not be generalised to all female and minority groups. However, a strength of our study is that it was informed by previous qualitative work in cricketers9 43 and the overall large sample size. The survey instrument was developed through patient and public involvement, and used validated questions from previous studies.21

Conclusion

Current cricketers had a greater odds of meeting the PA guidelines compared with the general population. However, when stratified by playing standard, only elite cricketers had a greater odds of meeting the PA guidelines compared with the general population. Strategies are needed to transition cricketers to an active lifestyle after retirement, since former cricketers had a reduced odds of meeting the PA guidelines compared with the general population.
  26 in total

1.  Sport and exercise as contributors to the health of nations.

Authors:  Karim M Khan; Angela M Thompson; Steven N Blair; James F Sallis; Kenneth E Powell; Fiona C Bull; Adrian E Bauman
Journal:  Lancet       Date:  2012-07-07       Impact factor: 79.321

2.  Prevalence and determinants of symptoms of common mental disorders in retired professional Rugby Union players.

Authors:  Vincent Gouttebarge; Gino Kerkhoffs; Mike Lambert
Journal:  Eur J Sport Sci       Date:  2015-09-30       Impact factor: 4.050

3.  2011 Compendium of Physical Activities: a second update of codes and MET values.

Authors:  Barbara E Ainsworth; William L Haskell; Stephen D Herrmann; Nathanael Meckes; David R Bassett; Catrine Tudor-Locke; Jennifer L Greer; Jesse Vezina; Melicia C Whitt-Glover; Arthur S Leon
Journal:  Med Sci Sports Exerc       Date:  2011-08       Impact factor: 5.411

Review 4.  Tracking of physical activity and physical fitness across the lifespan.

Authors:  R M Malina
Journal:  Res Q Exerc Sport       Date:  1996-09       Impact factor: 2.500

5.  Recall bias in epidemiologic studies.

Authors:  S S Coughlin
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

6.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy.

Authors:  I-Min Lee; Eric J Shiroma; Felipe Lobelo; Pekka Puska; Steven N Blair; Peter T Katzmarzyk
Journal:  Lancet       Date:  2012-07-21       Impact factor: 79.321

7.  Case-control matching: effects, misconceptions, and recommendations.

Authors:  Mohammad Ali Mansournia; Nicholas Patrick Jewell; Sander Greenland
Journal:  Eur J Epidemiol       Date:  2017-11-03       Impact factor: 12.434

Review 8.  Barriers and facilitators of physical activity in knee and hip osteoarthritis: a systematic review of qualitative evidence.

Authors:  Archontissa M Kanavaki; Alison Rushton; Nikolaos Efstathiou; Asma Alrushud; Rainer Klocke; Abhishek Abhishek; Joan L Duda
Journal:  BMJ Open       Date:  2017-12-26       Impact factor: 2.692

9.  Osteoarthritis and other long-term health conditions in former elite cricketers.

Authors:  Mary E Jones; Madeleine A M Davies; Kirsten M Leyland; Antonella Delmestri; Angus Porter; Jason Ratcliffe; Nick Peirce; Julia L Newton; Nigel K Arden
Journal:  J Sci Med Sport       Date:  2017-10-18       Impact factor: 4.319

10.  Playing sport injured is associated with osteoarthritis, joint pain and worse health-related quality of life: a cross-sectional study.

Authors:  Garrett S Bullock; Gary S Collins; Nick Peirce; Nigel K Arden; Stephanie R Filbay
Journal:  BMC Musculoskelet Disord       Date:  2020-02-19       Impact factor: 2.362

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