| Literature DB >> 33308804 |
Brad J Stenner1, Jonathan D Buckley2, Amber D Mosewich3.
Abstract
BACKGROUND: Despite the known contribution of sport to health and well-being, sport participation declines in older age. However, for some people, sport continues to play an important role in older age and may contribute to improved health and well-being in older years. Although the health-related benefits of participating in sport are commonly reported, the reasons why some older adults continue to play sport are not well understood. This systematic review aimed to (1) identify studies from the literature that evaluated the reasons why older adults (aged 55 years and older) participate in sport and (2) synthesize and discuss the reasons for their participation reported in the literature.Entities:
Keywords: Competition; Health; Social engagement; Successful ageing; Team
Mesh:
Year: 2019 PMID: 33308804 PMCID: PMC7749227 DOI: 10.1016/j.jshs.2019.11.003
Source DB: PubMed Journal: J Sport Health Sci ISSN: 2213-2961 Impact factor: 7.179
Fig. 1Reference screening and selection. PA = physical activity; SR = systematic review.
Study characteristics.
| Study | Year | Author(s) | Method | Design | Sample ( | Age (year) and gender | Country | Specified aim | Sport | Reasons for participation | Commentary on findings |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2016 | Appleby & Dieffenbach | Qualitative | Descriptive/in-depth interviews | Age range: 55–74; gender for age range unknown | USA | Investigate elite masters cyclists' involvement in competitive sport. | Cycling | Being part of community | – | |
| 2 | 2015 | Bendikova & Bartik | Mixed | Not specified | Mean age = 66.2 | Slovakia | Widen the knowledge concerning active lifestyle of seniors by means of sports activities. | Mixed, including cycling, swimming, table tennis, and others | Being part of community | Difference based on gender; men ranked pleasure, friendship, and health higher; women ranked social contact, health improvement, and feeling good higher | |
| 3 | 2018 | Berlin et al. | Mixed | Quantitative descriptive and qualitative interviewing using “laddering” | Quantitative | Age = 70.1 ± 7.4 (mean ± SD); all female | USA | The purpose was to focus solely on active older women (defined here as ≥60 years) to determine to what extent these women, who engage in either sports-based physical activities (specifically, bowling and golfing) or exercise-based activities (swimming and walking), differ in subjective ratings of successful ageing and whether there were differences in the predictors of successful ageing across the activity groups. | Bowling | Health benefits | – |
| 4 | 2014 | Berlin & Klenosky | Qualitative | Semistructured interview using means-end approach | Age range: 60–92, | USA | The specific focus will be to identify the range of meanings, and the interconnections among these meanings, that derive from continued participation in these activities. | Bowlers | Overall health | Difference between golfers and bowlers presented as a “summary of ladders and attributes” | |
| 5 | 1990 | Brodkin & Weiss | Quantitative | Quantitative descriptive using Participation Motivation Questionnaire | 27 may have been aged 55–74, although this number also includes 40–54; exact gender ratio unable to be determined | USA | Different age levels would have different motivational factors related to competitive swimming. | Swimming | Physical health | — | |
| 6 | 2009 | Cardenas et al. | Quantitative | Quantitative descriptive using reasons for participating scale | Mean age = 70, age range: 55–96; 52% female, 48% male | USA | Explore reasons for participation in Northern Carolina Seniors Games. | Not specified; all were Masters Games participants | Physical health | Differences based on gender–women rated interpersonal relationships higher than men, and games allowed a physical and social opportunity | |
| 7 | 2016 | Cheng et al. | Qualitative | Semistructured interviews | Mean age = 63, age range: 54–83; all male | Taiwan, China | The purpose of this study was to explore the concept of serious leisure in the context of older rugby players. | Rugby Union | Physical and mental health | – | |
| 8 | 2012 | Cheung et al. | Quantitative | Quantitative descriptive using Participation Motivation Inventory | Aged ≥50; no data on gender split for this age group | Hong Kong, China | Investigate motivational determinants of participants in the Hong Kong Masters Games. | Tennis, orienteering, running, swimming, badminton, squash, lawn bowls, and gate ball | Health benefits | No significant difference for gender | |
| 9 | 2002a | Dionigi | Qualitative | Exploratory inquiry, inductive process within an interpretive paradigm, | Age ranged: 55–94, only 9 aged ≥80 years; | Australia | Investigate the experience of older adults in competitive sport. | Running, race walking, triathlon, cycling, track and field, archery, canoeing, swimming, gymnastics, sport aerobics, indoor rowing, netball, tennis, baseball, ice hockey, squash, soccer, badminton, field hockey, softball, cricket, basketball, and touch football | Physical health | – | |
| 10 | 2013 | Dionigi et al. | Qualitative | Qualitative, semistructured interviews | Age range: 56–90, mean age = 72; 23 females, 21 males | Australia, participants from Australia, Canada, USA, and New Zealand | Understand how masters athletes account for their performance preservation in sport. | Swimming, athletics/track and field, squash, orienteering, weightlifting, tennis, badminton, and cycling | Physical health | – | |
| 11 | 2002b | Dionigi | Qualitative | Qualitative, semistructured interviews | Age ranged: 55–94, only 9 aged ≥80 | Australia and New Zealand | Contribute to understanding of identity management, leisure and later life experiences of older adults who play competitive sport. | Running, race walking, triathlon, cycling, track and field, archery, canoeing, swimming, gymnastics, sport aerobics, indoor rowing, netball, tennis, baseball, ice hockey, squash, soccer, badminton, field hockey, softball, cricket, basketball, and touch football | Health benefits | – | |
| 12 | 2011 | Dionigi et al. | Qualitative | Qualitative, semistructured interviews | Age ranged 56–90, mean age = 72; 23 females, 21 males | Australia, participants from Australia, Canada, USA, and New Zealand | Determine what a group of Masters Games participants gained from competing and describe psychosocial processes that underpin continued involvement in competitive sport. | Swimming, athletics/track and field, squash, orienteering, weightlifting, tennis, badminton, and cycling | Part of community | – | |
| 13 | 2014 | Ferrand et al. | Quantitative | Survey using SMS | Age = 75.34 ± 4.89 (mean ± SD) | France | Better understand motivation used by adults for exercise/sport and how this links to health-related quality of life. | Gymnastics, swimming, golf, archery or endurance activities such as skiing, cross-country walking, and cycling | Achievement | – | |
| 14 | 2012 | Hall & Ferreira | Quantitative | Quantitative descriptive | Age range: 50–85, mean (SD) not provided | USA | What were the determinants that drove participants in an event to make a choice among competing Senior Games? | Track and field, swimming, horseshoes, cycling, volleyball, basketball, bowling, golf, bridge, and triathlon | Part of community | – | |
| 15 | 2009 | Hamm-Kerwin et al. | Qualitative | Qualitative, semistructured interviews | Age = 72 ± 5.6 (mean ± SD) | Canada | Explore common factors associated with being a volunteer in sport. | Not described | General health | – | |
| 16 | 2013 | Heo et al. | Qualitative | Qualitative, in-depth interviews | Mean age = 63, age range: 52–71 | USA | How did competing in Senior Games contribute to successful ageing of older adults. | Tennis, volleyball, track and field, cycling, swimming, shuffleboard, table tennis, and race walking | Part of community | – | |
| 17 | 2005 | Heuser | Qualitative | Qualitative, in-depth interviews | Age range: 64–88; all female | Australia | Understand the development of a career in lawn bowls. | Lawn bowls | Health benefits | – | |
| 18 | 2016 | Jenkin et al. | Qualitative | Focus groups | 8 focus groups, total of 49 participants | Sport club member interviews: mean age = 62, age range: 50–85; 50/50 gender split | Australia | Explore benefits of older adults’ participation for sporting organizations. | Tennis and cricket | Part of community | – |
| 19 | 2013 | Kirby & Kluge | Qualitative | Intrinsic case study, using focus group and individual interviews | Age range: 65–76; all female | Canada | Explore the formation of a women's ≥65 volleyball team and understand what it is like for older women to learn a new sport and participate in competition. | Volleyball | Part of community | – | |
| 20 | 2004 | Kolt et al. | Quantitative | Quantitative descriptive using PMQOA | Age = 63.6 ± 7.8 (mean ± SD), age range: 55–93 years; | Australia | To identify the participation motives of older Australians involved in regular exercise and sport. | Golf, lawn bowls, tennis, and swimming | Health and fitness | Women rated social involvement and medical reasons as more important | |
| 21 | 2013 | Medic et al. | Quantitative | Quantitative descriptive exploratory | Age = 55.3 ± 11.8 (mean ± SD); | Australia | Examine the contrasting perceptions of Masters swimmers in a 5-year age category. | Swimming | Physical health and fitness | – | |
| 22 | 2017 | Naar et al. | Qualitative | Interpretivist qualitative approach, using focus groups | Mean age = 69.3, age range: 55–79; all female | USA | Identify factors that influence older women's participation in competitive softball. | Softball | Physical health | – | |
| 23 | 1998 | Newton & Fry | Quantitative | Quantitative descriptive | Age = 64.5 ± 7.8 (mean ± SD), age range: 49–83; | USA | Examine the motivational perspectives of athletes participating in the Senior Olympic Games. | Including, but not limited to, tennis, track and field, and bowling | Physical health and fitness | – | |
| 24 | 2017 | Park | Mixed | Semistructured interviews and short survey | Mean age = 73, age range: 68–79; | Korea | Describe the experience of sport stacking as applied to Korean older adults. | Sport stacking | Health benefits | – | |
| 25 | 2017 | Pedersen et al. | Mixed | RCT with qualitative interview component | 25 males, aged 79 ± 5; 47 females, aged 80 ± 7 (mean ± SD) | Denmark | To determine the effect of training organized as a small-sided team sport and resistance training on motivation of older untrained adults. | Football (soccer) and resistance training | Part of community | – | |
| 26 | 2009 | Pero et al. | Quantitative | Quantitative descriptive using SMS, grounded in SDT | Age range: 45–55, | Italy | To determine motivation for participation in sport for older Italians and to determine whether there was any difference in reasons for gender or age. | Swimming and track and field | Health benefits | No gender difference | |
| 27 | 2012 | Pike | Qualitative | Semistructured interviews and participant observations | 18 males and 13 females; | UK | Drawing on the stories of Masters swimmers (aged ≥60), identify the enablers and constrainers to participation in sports-level swimming. | Swimming | Health benefits | – | |
| 28 | 2007 | Reed & Cox | Quantitative | Quantitative using SMS and Motivation for Physical Activities Measure | Mean age = 61.58, age range 50–92; | USA | Study the relationship between motivational regulation and reasons for participating in sport in older/senior athletes. | Individual sports not specified | Physical health | Social interaction and enjoyment more important for women than they are for men | |
| 29 | 2016 | Stenner et al. | Qualitative | Focus groups | Age = 66.8 ± 5.4; 12 males, age = 68.2 ± 7.5; 19 females, age = 66.0 ± 3.5 (mean ± SD) | Australia | Explore the reasons why older adults participate in golf and the benefits they perceive that they obtain from doing so. | Golf | Health benefits | – | |
| 30 | 2016 | Yamada & Heo | Qualitative | Qualitative in-depth interviews | 6 males and 4 females; | USA | Explore determinants and considerations of older adults in regard to their engagement in the Senior Games. | Track and field, cycling, swimming, shuffle board, race walking, volleyball, and table tennis | Health benefits | – |
a, b Denote mulitiple publications in the same year by the same authors.
Abbreviations: PA = physical activity; PMQOA = participation motivation questionnaire for older adults; RCT = randomized control trial; SDT = self determination theory; SMS = sports motivation scale.
Assessment of quality using the mixed methods appraisal tool.
| Study | Year | Author(s) | Screening S1 | Screening S2 | 1.1 | 1.2 | 1.3 | 1.4 | 1.5 | 4.1 | 4.2 | 4.3 | 4.4 | 4.5 | 5.1 | 5.2 | 5.3 | 5.4 | 5.5 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2016 | Appleby & Dieffenbach | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 2 | 2015 | Bendikova & Bartik | Y | Y | N | N | N | N | N | ||||||||||
| 3 | 2018 | Berlin et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 4 | 2014 | Berlin & Klenosky | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 5 | 1990 | Brodkin & Weiss | Y | Y | Can't tell | Can't tell | Y | Can't tell | Y | ||||||||||
| 6 | 2009 | Cardenas et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 7 | 2016 | Cheng et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 8 | 2012 | Cheung et al. | Y | Y | N | N | Y | Can't tell | Y | ||||||||||
| 9 | 2002a | Dionigi | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 10 | 2013 | Dionigi et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 11 | 2002b | Dionigi | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 12 | 2011 | Dionigi et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 13 | 2014 | Ferrand et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 14 | 2012 | Hall & Ferreira | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 15 | 2009 | Hamm-Kerwin et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 16 | 2013 | Heo et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 17 | 2005 | Heuser | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 18 | 2016 | Jenkin et al | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 19 | 2013 | Kirby & Kluge | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 20 | 2004 | Kolt et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 21 | 2013 | Medic et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 22 | 2017 | Naar et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 23 | 1998 | Newton & Fry | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 24 | 2017 | Park | Y | Y | Y | Y | Y | n | Y | ||||||||||
| 25 | 2017 | Pedersen et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 26 | 2009 | Pero et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 27 | 2012 | Pike | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 28 | 2007 | Reed & Cox | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 29 | 2016 | Stenner et al. | Y | Y | Y | Y | Y | Y | Y | ||||||||||
| 30 | 2016 | Yamada & Heo | Y | Y | Y | Y | Y | Y | Y |
a, b Denote mulitiple publications in the same year by the same authors.
S1: Are the research questions clear? S2: Do the collected data allow the research questions to be addressed?
1. Qualitative: 1.1. Is the qualitative approach appropriate to answer the research question? 1.2. Are the qualitative data collection methods adequate to address the research question? 1.3. Are the findings adequately derived from the data? 1.4. Is the interpretation of results sufficiently substantiated by data? 1.5. Is there coherence between qualitative data sources, collection, analysis, and interpretation?
4. Quantitative descriptive: 4.1. Is the sampling strategy relevant to address the research question? 4.2. Is the sample representative of the target population? 4.3. Are the measurements appropriate? 4.4. Is the risk of nonresponse bias low? 4.5. Is the statistical analysis appropriate to answer the research question?
5. Mixed methods: 5.1. Is there an adequate rationale for using a mixed methods design to address the research question? 5.2. Are the different components of the study effectively integrated to answer the research question? 5.3. Are the outputs of the integration of qualitative and quantitative components adequately interpreted? 5.4. Are divergences and inconsistencies between quantitative and qualitative results adequately addressed? 5.5. Do the different components of the study adhere to the quality criteria of each tradition of the methods involved?
Abbreviations: N = no; Y = yes.