scholarly journals Factors Associated with Sustained Exergaming: Longitudinal Investigation

10.2196/13335 ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. e13335 ◽  
Author(s):  
Erin Kathleen O'Loughlin ◽  
Tracie A Barnett ◽  
Jennifer J McGrath ◽  
Mia Consalvo ◽  
Lisa Kakinami

Background Exergaming is technology-driven physical activity (PA) which, unlike traditional video game play, requires that participants be physically active to play the game. Exergaming may have potential to increase PA and decrease sedentary behavior in youth, but little is known about sustained exergaming. Objective The objectives of this study were to describe the frequency, correlates, and predictors of sustained exergaming. Methods Data were available in AdoQuest (2005-11), a longitudinal investigation of 1843 grade 5 students in Montréal, Canada. This analysis used data from grade 9 (2008-09) and 11 (2010-11). Participants at Time 1 (T1; mean age 14 years, SD 0.8 ) who reported past-week exergaming (n=186, 19.1% of AdoQuest sample) completed mailed self-report questionnaires at Time 2 (T2; mean age 16 years, SD 0.8). Independent sociodemographic, psychological, and behavioral correlates (from T2)/predictors (from T1 or earlier) were identified using multivariable logistic regression. Results Of 186 exergamers at T1, 81 (44%) reported exergaming at T2. Being female and having higher introjected regulation (ie, a type of PA motivation indicative of internalizing PA as a behavior) were independent correlates. None of the predictors investigated were associated with sustained exergaming. Conclusions Almost half of grade 9 exergamers sustained exergaming for 2 years. Exergaming may be a viable approach to help adolescents engage in and sustain PA during adolescence. Sex and PA motivation may be important in the sustainability of exergaming.

2019 ◽  
Author(s):  
Erin O'Loughlin ◽  
Tracie A. Barnett ◽  
Jennifer McGrath ◽  
Mia Consalvo ◽  
Lisa Kakinami

BACKGROUND Exergaming is increasing in popularity, but little is known about sustained exergaming. OBJECTIVE The objectives of this study were to describe the frequency and correlates/predictors of sustained exergaming. METHODS Data were available in AdoQuest (2005-11), a longitudinal investigation of 1843 grade 5 students in in Montréal, Canada. This analysis uses data from grade 9 and 11. Participants at T1 (mean age 14 (0.8) years) who reported past-week exergaming (n = 186), completed mailed self-report questionnaires at T2 (mean age 16 (0.8) years). Independent correlates (from T2)/predictors (from T1 or earlier) were identified using multivariable logistic regression. RESULTS Of 186 exergamers at T1, 81 (44%) reported exergaming at T2. Being female and having higher introjected regulation (i.e., a type of PA motivation indicative of internalization of PA as a behaviour) were independent correlates.. None of the predictors investigated were associated with sustained exergaming. CONCLUSIONS Almost 50% of grade 9 exergamers sustained for 2-3 years. In non-clinical settings, exergaming may be a viable approach to help adolescents maintain PA during adolescence, a period in the life course when PA generally declines. Sex and PA motivation should be considered in the design of exergaming interventions. CLINICALTRIAL N\A


2018 ◽  
Vol 23 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Tsunenori Isa ◽  
Yuya Ueda ◽  
Ryo Nakamura ◽  
Shogo Misu ◽  
Rei Ono

This study investigated the relationship of a gap between the intent to be physically active and actual participation in physical activity (‘intention–behavior gap’) and self-efficacy for physical activity during childhood. A self-report questionnaire was used to collect information from 946 children from the fourth and sixth grades in Japan on self-efficacy, intention, and physical activity. Children with an intention–behavior gap (high intent–low activity or low intent–high activity) had higher self-efficacy scores than those with low intent and low activity (27.66 or 27.65 vs. 21.69; p < .001). They had lower self-efficacy scores than those with high intent and high activity (27.66 or 27.65 vs. 30.56; p < .001). Children with an intention–behavior gap had lower self-efficacy for physical activity than those who intended to be and were physically active. Such children may benefit from education interventions that focus on improving self-efficacy.


2009 ◽  
Vol 21 (3) ◽  
pp. 245-253 ◽  
Author(s):  
Sadye Paez ◽  
Ann Maloney ◽  
Kristine Kelsey ◽  
Chris Wiesen ◽  
Angela Rosenberg

Author(s):  
Kevin Rudolf ◽  
Peter Bickmann ◽  
Ingo Froböse ◽  
Chuck Tholl ◽  
Konstantin Wechsler ◽  
...  

The number of video game and eSports players is steadily rising. Since little is known about their health behavior to date, the present study examines the demographics and health behavior of video game and eSports players. In this cross-sectional study, data on demographics, health status, physical activity, nutrition, sleep, and video game usage were assessed via a web-based survey of n = 1066 players (91.9% male; 22.9 ± 5.9 years; body mass index (BMI): 24.6 ± 4.8 kg/m²) in Germany in 2018. The majority of respondents (95%) reported a good to excellent health status. Two thirds (66.9%) engaged in moderate to vigorous physical activity for more than 2.5 h/week. The average duration of sitting and sleep time was 7.7 ± 3.6 h/day and 7.1 ± 1.3 h/day, respectively. Mean fruit and vegetable consumption was 2.7 ± 1.8 portions/day. Video games were played for 24.4 ± 15.9 h/week on average. Partial Spearman correlations revealed poor positive associations of video game play time to sedentary behavior (rho = 0.15; p < 0.01) and BMI (rho = 0.11; p < 0.01), as well as a poor negative association to self-reported health status (rho = −0.14; p < 0.01). These results indicate the good subjective health of this target group. Nevertheless, the high amount of video game play time and its poor negative association to health status indicate a need for specific health promotion strategies for this target group.


Author(s):  
Lydia Emm-Collison ◽  
Sarah Lewis ◽  
Thomas Reid ◽  
Joe Matthews ◽  
Simon Sebire ◽  
...  

Children’s physical activity decreases during school holidays. Less structured days and reduced participation in organised activities may account for some of the decrease. Little is known about the factors that influence parents’ decision to enrol their child in organised activity such as holiday clubs. This paper sought to explore parents’ perceptions of their child’s physical activity during school holidays and the factors that influence holiday activity-based decision making. Semi-structured telephone interviews were conducted with 42 parents of children aged 10–11 years in July 2017 or March 2018. Data were analysed using a combination of inductive and deductive content analysis to explore parents’ perceptions of holiday-based physical activity and the factors associated with how they provide physical activity opportunities for their children. The data revealed that most parents consider their child’s physical activity levels when planning for the school holidays. However, work commitments in the holidays meant many parents had to rely on both informal and formal childcare. Grandparents were the primary source of informal childcare, despite a perception that children were not as physically active when with them. Holiday clubs were also a viable option, but the cost, location and age-appropriateness of provision inhibit parents signing older children up to these regularly.


2018 ◽  
Vol 72 (6) ◽  
pp. 471-476 ◽  
Author(s):  
Arie Kapteyn ◽  
James Banks ◽  
Mark Hamer ◽  
James P Smith ◽  
Andrew Steptoe ◽  
...  

BackgroundPhysical activity (PA) is important for maintaining health, but there are fundamental unanswered questions on how best it should be measured.MethodsWe measured PA in the Netherlands (n=748), the USA (n=540) and England (n=254), both by a 7 day wrist-worn accelerometer and by self-reports. The self-reports included a global self-report on PA and a report on the frequency of vigorous, moderate and mild activity.ResultsThe self-reported data showed only minor differences across countries and across groups within countries (such as different age groups or working vs non-working respondents). The accelerometer data, however, showed large differences; the Dutch and English appeared to be much more physically active than Americans h (For instance, among respondents aged 50 years or older 38% of Americans are in the lowest activity quintile of the Dutch distribution). In addition, accelerometer data showed a sharp decline of PA with age, while no such pattern was observed in self-reports. The differences between objective measures and self-reports occurred for both types of self-reports.ConclusionIt is clear that self-reports and objective measures tell vastly different stories, suggesting that across countries people use different response scales when answering questions about how physically active they are.


Author(s):  
Amanda L. Rebar

Much of our sport and physical activity behavior is regulated by processes occurring outside of conscious awareness. In contrast, most sport and physical activity research focuses on processes that are easily accessible by conscious introspection. More and more, however, research is demonstrating that automatic regulation is instrumental to our understanding of how to get people to maintain a physically active lifestyle and how to get the most out of people’s sports performance potential. Automatic regulation is the influence on our thoughts and actions that result from the mental network of associations we use to make sense of the world around us. Habits are automatic associations of cues with behavioral responses. Automatic evaluations are automatic associations of cues as being good or bad. Automatic schemas are automatic associations of cues with actual or ideal self-identity. These processes have been assessed with implicit measures by making indirect inferences from self-report or response latency tasks. Emerging research demonstrates that automatic associations influence sport performance and physical activity behavior, but further work is still needed to establish which type of automatic regulation is responsible for these influences and how automatic regulation and reflective processes interact to impact movement.


2005 ◽  
Vol 14 (1) ◽  
pp. 95-105 ◽  
Author(s):  
Katherine M. Jamieson ◽  
Kaori Araki ◽  
Yong Chul Chung ◽  
Sun Yong Kwon ◽  
Lisa Riggioni ◽  
...  

Recently, a significant growth in immigrant populations has influenced the social, cultural, and political landscape of many local communities. Understanding such changes in U.S. and local demography are central to effective efforts toward reducing physical inactivity, and associated health risks and diseases. In part to document the ways that physical activity currently fits into particular women’s lives, and as critique of the essentialized notions of immigrant communities as deficient in their health standards, we set out to investigate just how physically active Latinas in local communities were. The research was guided by the following two questions: 1) What are the social conditions under which adolescent Latinas make choices about physical activity? 2) To what extent are adolescent Latinas involved in physical activity? Centering on these two questions we administered questionnaires that measured current physical activity involvement, and individual and family background factors. Survey data indicate that Latina physical activity scores increase when home and work related physical activity is included in a self-report measure.


2011 ◽  
Vol 8 (3) ◽  
pp. 340-351 ◽  
Author(s):  
Kristiann Corbusier Heesch ◽  
Norman Ng ◽  
Wendy Brown

Background:Physical activity (PA) is recommended for managing osteoarthritis (OA). However, few people with OA are physically active. Understanding the factors associated with PA is necessary to increase PA in this population. This cross-sectional study examined factors associated with leisure-time PA, stretching exercises, and strengthening exercises in people with OA.Methods:For a mail survey, 485 individuals, aged 68.0 years (SD = 10.6) with hip or knee OA, were asked about factors that may influence PA participation, including use of non-PA OA management strategies and both psychological and physical health-related factors. Associations between factors and each PA outcome were examined in multivariable logistic regression models.Results:Non-PA management strategies were the main factors associated with the outcomes. Information/education courses, heat/cold treatments, and paracetamol were associated with stretching and strengthening exercises (P < .05). Hydrotherapy and magnet therapy were associated with leisure-time PA; using orthotics and massage therapy, with stretching exercises; and occupational therapy, with strengthening exercises (P < .05). Few psychological or health-related factors were associated with the outcomes.Conclusions:Some management strategies may make it easier for people with OA to be physically active, and could be promoted to encourage PA. Providers of strategies are potential avenues for recruiting people with OA into PA programs.


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