Статті в журналах з теми "Activity participation and time-use"

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1

Spinney, Jamie E. L. "Aerobic Activity Preferences among Older Canadians: A Time Use Perspective." Canadian Journal on Aging / La Revue canadienne du vieillissement 32, no. 4 (October 9, 2013): 443–51. http://dx.doi.org/10.1017/s0714980813000433.

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RÉSUMÉUne population physiquement active jouit de nombreux avantages pour la santé. Cette étude visait à découvrir les préférences de l’activité aérobie chez les Canadiens âgés. Quatre cycles de données indiquant l’usage national représentatif de temps ont été fusionnées avec des informations sur la dépense d’énergie pour déterminer les taux de participation et le temps consacré en dix activités aérobiques les plus fréquemment rapportées. Les activités préférés sont dominées par les tâches ménagères (15% à 30%, la participation d’environ deux heures par jour), la marche de loisirs (15% a 30%, la parti-cipation d’environ une heure par jour), et le transport actif (généralement moins de 5% de participation pendant moins de trente minutes par jour). Bien que plusieurs modifications ont été révelées dans les préferences de Canadiens plus âgés pour les activités aérobiques au cours des trois dernières décennies, la prévalence de tâches domestiques vise à l’importance des politiques qui soutiennent que les Canadiens plus âgés resteront dans leurs maisons, alors que la popularité de la marche suggère que le potentiel de rester « piétonnier » doit être pris en compte dans la conception des quartiers.
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2

Srinivasan, Sivaramakrishnan, and Chandra R. Bhat. "An exploratory analysis of joint-activity participation characteristics using the American time use survey." Transportation 35, no. 3 (January 15, 2008): 301–27. http://dx.doi.org/10.1007/s11116-007-9155-3.

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3

Spissu, Erika, Abdul Rawoof Pinjari, Chandra R. Bhat, Ram M. Pendyala, and Kay W. Axhausen. "An analysis of weekly out-of-home discretionary activity participation and time-use behavior." Transportation 36, no. 5 (March 13, 2009): 483–510. http://dx.doi.org/10.1007/s11116-009-9200-5.

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4

Dunstan, David W., Genevieve N. Healy, Takemi Sugiyama, and Neville Owen. "‘Too Much Sitting’ and Metabolic Risk—Has Modern Technology Caught Up with Us?" US Endocrinology 05, no. 01 (2009): 29. http://dx.doi.org/10.17925/use.2009.05.1.29.

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Recent epidemiological evidence suggests that prolonged sitting (sedentary behavior: time spent in behaviors that have very low energy expenditure, such as television viewing and desk-bound work) has deleterious cardiovascular and metabolic correlates, which are present even among adults who meet physical activity and health guidelines. Further advances in communication technology and other labor-saving innovations make it likely that the ubiquitous opportunities for sedentary behavior that currently exist will become even more prevalent in the future. We present evidence that sedentary behavior (too much sitting) is an important stand-alone component of the physical activity and health equation, particularly in relation to cardio-metabolic risk, and discuss whether it is now time to consider public health and clinical guidelines on reducing prolonged sitting time that are in addition to those promoting regular participation in physical activity.
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5

Ramli, Muhammad Isran, and Dimas Endrayana Dharmowijoyo. "Activity-Travel Behaviour, and Daily and Global Well-Being." MATEC Web of Conferences 203 (2018): 05004. http://dx.doi.org/10.1051/matecconf/201820305004.

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Анотація:
Using a hierarchical SEM and multidimensional 3-week household time-use and activity diary, this study investigated how interaction of individuals’ daily travel parameters, time-use and activity participation and percentage of undertaking passive leisure within various activity participation, life circumstances, and geographical conditions shape individuals’ daily and global subjective well-being. This study confirms that life circumstances insignificantly shape people’s well-being as argued as well in previous studies. Moreover, daily subjective well-being or people daily context in which contains how people organizes their daily activity-travel behaviour positively shape people life satisfaction as hypothesised. This study also confirms that different daily activity participation tends to shape different level of people’s daily subjective well-being. Spending more time-use for leisure, sport and grocery shopping tends to positively correlate with having better daily subjective well-being. Having better mental and social health are found to positively shape people’s daily and global well-being, respectively. For policy implementations, this study can say that providing more opportunities for undertaking out-of-home activities such as out-of-home leisure, sport and grocery shopping with time-use policy and denser land use planning.
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6

Millward, Hugh, Jamie E. L. Spinney, and Darren Scott. "Durations and Domains of Daily Aerobic Activity: Evidence From the 2010 Canadian Time-Use Survey." Journal of Physical Activity and Health 11, no. 5 (July 2014): 895–902. http://dx.doi.org/10.1123/jpah.2012-0115.

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Background:This study employs national time-diary data to evaluate how much aerobic activity Canadians engage in on a daily basis, how that activity is apportioned by activity domain, and how subgroups within the population vary in their aerobic attainment.Methods:The study employs time-use data from the 2010 General Social Survey of Canada, for 15,390 respondents aged 15 and older. To estimate effort levels, the authors harmonized survey codes with those in the Compendium of Physical Activities. Aerobic activity was defined as moderate or vigorous effort at 3.5 Metabolic Equivalent of Task (MET) or higher.Results:Among the 4 activity domains, aerobic participation is highest in leisure activities, followed by chores, paid work, and active transportation (AT). Only a minority (42%) of respondents recorded at least 20 mins/day of aerobic activity. Aerobic totals were particularly low for women and those in poor or fair health, and low for students, 15- to 24-year-olds, and those residing in Quebec, Ontario, and larger cities.Conclusions:The majority of Canadian adults are failing to meet recommended aerobic activity levels. However, there is considerable opportunity to increase aerobic participation for some groups, particularly women and young adults, especially in the leisure and AT domains.
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7

Vandermaas-PEELER, Maureen, Erin Way, and Jennifer Umpleby. "Guided Participation in a Cooking Activity over Time." Early Child Development and Care 172, no. 6 (December 2002): 547–54. http://dx.doi.org/10.1080/03004430215104.

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8

Hunt, Eithne, and Elizabeth A. McKay. "Using population-Level Time Use Datasets to Advance Knowledge of Human Activity, Participation and Health." British Journal of Occupational Therapy 75, no. 10 (October 2012): 478–80. http://dx.doi.org/10.4276/030802212x13496921049789.

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9

Nahvi, Afsah Iqbal, Adnan Abubakr, Mudasir M. Kirmani, Qurazah Akeemu, Ruchi Thakur, and Sanya Khan. "Time use participation (Pre-harvesting activities) of farm women in Himalayan region North India." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 17, no. 1 (January 15, 2021): 100–105. http://dx.doi.org/10.15740/has/ijas/17.1/100-105.

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The present study was undertaken at Kunzer village located in the district Baramulla of Kashmir valley. A Total of 100 respondents (Farmwomen) actively involved in paddy cultivation were selected to study their involvement and time use pattern in various pre-harvesting activities. The study showed that majority (55%) of the respondents belonged to age group of 25-45 years and could not read and write. Most of them (46%) were living in joint family system, with 46% having 5-10 kanal of paddy land and most of them (36%) having 6-9 members in their family. Pre-harvesting activities include (Cleaning boundaries, collecting stubbles, nursey preparation, seed cleaning seed treatment, sowing, pulling out seedlings, transplanting and weeding).Seed cleaning was done by 61% of respondents for more than 4 hrs during shift one, seed treatment activity was performed by 52% of respondents for more than 4 hrs in shift one and by 52% respondents for less than 2 hrs in shift three. Sowing was done by 46% of the respondents during shift two for about less than 2 hrs with pulling out seedling activity was performed by 76% of the respondents for more than 4 hrs in shift one. Majority of the farmwomen (68%) work for more than 4 hours in shift one for transplanting of the seedlings, while 53% of respondents perform weeding activity for more than 4 hours a day during the shift one. Overall, farmwomen spent 6 hours a day in pre-harvesting activities during farming season, working for more than 4 hours during a shift.
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10

Hall, Arlene E. "Perceived Barriers to and Benefits of Physical Activity among Black and White Women." Women in Sport and Physical Activity Journal 7, no. 2 (October 1998): 1–32. http://dx.doi.org/10.1123/wspaj.7.2.1.

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Анотація:
This study is an examintion of the effects of race and income on leisure-time physical activity among women (n = 116). Perceived benefits of and barriers to participating in leisure-time physical activity were also compared. A regression model utilizing social cognitive variables was used to explore factors which may predict physical activity participation. No significant differences emerged between the groups regarding the amount of physical activity they reported either by race or socioeconomic status. Time expenditure emerged significantly different by race (p < .001) and income (p < .000); middle-income women reported time as a barrier more than lower-income women and Whites were likelier to report time as a barrier more than Blacks. Middle-income women perceived greater (p < .01) physical performance benefits from exercise than lower-income women. Social interaction, time expenditure, and body mass index were the strongest predictors of physical activity. The data and findings could be useful for increaseing our understanding of economic and racial disparities in physical activity participation and garnish information for use in constructing interven programs.
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11

Rafiq, Rezwana, and Michael G. McNally. "Modeling the Structural Relationships of Activity-Travel Participation of Working Women." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 47 (September 7, 2018): 81–91. http://dx.doi.org/10.1177/0361198118784135.

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The structural relationships between work and non-work activity participation and associated travel engagements are developed for single working mothers and married working mothers. Multiple-group structural equation modeling (SEM) is used to analyze the relationships between work and non-work time usage of the two groups for both in-home and out-of-home contexts. Non-work activities are childcare, maintenance, and discretionary activities. In addition to revealing interrelationships between work and non-work activity participation for each group, this multiple-group SEM model allows for the comparison of how these relationships differ across the two study groups. Data were obtained from the American Time Use Survey for 2012. The resulting model shows that these two groups demonstrate statistically significant differences in their activity interactions in terms of how participation in an activity affects the duration of other activities and travel. The model also captures the different degree of impacts of household and person-level socio-demographic characteristics (exogenous effects) of these two groups on activity participation (activity duration) and travel engagement (travel time). The findings of this research advance the understanding of the activity participation and time-allocation decisions made by working mothers, which can lead toward policy formulation for them in terms of social, land-use planning, and activity-based approach perspectives.
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12

Murray, Gabriel. "Graph-Based Prediction of Meeting Participation." Multimodal Technologies and Interaction 3, no. 3 (July 12, 2019): 54. http://dx.doi.org/10.3390/mti3030054.

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Given a meeting participant’s turn-taking dynamics during one segment of a meeting, and their contribution to the group discussion up to that point, our aim is to automatically predict their activity level at a later point of the meeting. The predictive models use verbal and nonverbal features derived from social network representations of each small group interaction. The best automatic prediction models consistently outperform two baseline models at multiple time-lags. We analyze which interaction features are most predictive of later meeting activity levels, and investigate the efficacy of the verbal vs. nonverbal feature classes for this prediction task. At long time-lags, linguistic features become more crucial, but performance degrades compared with prediction at short time-lags.
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13

Zend, Jayshree P., Manjusha S. Revanwar, and Swati S. Gaikwad. "Gender Participation and Technology Use in Turmeric Production System." Current Agriculture Research Journal 7, no. 2 (August 13, 2019): 165–70. http://dx.doi.org/10.12944/carj.7.2.04.

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Survey was carried out regarding basic information, gender participation, time spent on various activities and technology usages and satisfaction for different activities in turmeric field. Important role of farm women in turmeric cropping system in Maharashtra, India was found in planting rhizomes, clearing weeds cleaning activities. Ploughing, forming ridges and irrigation are performed and solely by male farmers. Participation of farm women in earthing up activity was 85%and it was followed by fertilizer application (83%). Majority of the activities such as planting, earthing up, harvesting in turmeric production system were performed manually. Data on time spent by the female workers in performing different activities in turmeric production system indicated that, maximum time consuming activity was hand weeding (84 man days/ season) followed by earthing up (63 man days/ season) and cutting, sorting and cleaning roots (each of 56 days/ season). No implement or machine is used by them for earthing up activity due to lack of awareness and availability. Study revealed urgent need of development of technologies for performing these activities.
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14

Dunn, Michael S. "Association between Physical Activity and Substance Use Behaviors among High School Students Participating in the 2009 Youth Risk Behavior Survey." Psychological Reports 114, no. 3 (June 2014): 675–85. http://dx.doi.org/10.2466/18.06.pr0.114k28w7.

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This study examined the relationship between physical activity, physical education class, and sports participation on the substance use practices of adolescents. Data was derived from the 2009 Youth Risk Behavior Survey study of adolescent behaviors. The results of this study indicated that recreational physical activity, attending PE class, and participating in sports were independent protective factors for many cigarette use behaviors but not for smokeless tobacco use. Additionally, recreational physical activity and sports participation appears to be a protective factor for marijuana use among females but not males. On the other hand, recreational physical activity and sports participation appears to be a risk factor for alcohol use behaviors among males.
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15

Cha, Yu-Jin. "Correlation between Leisure Activity Time and Life Satisfaction: Based on KOSTAT Time Use Survey Data." Occupational Therapy International 2018 (August 9, 2018): 1–9. http://dx.doi.org/10.1155/2018/5154819.

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Rationale. This study aims to investigate the correlation between the available leisure activity time and life satisfaction of the healthy elderly and the factors affecting them. Method. For the analysis, data from the 2014 Time Use Survey (2014TUS) published by Statistics Korea (KOSTAT) was used. This study classified the detailed activities of 9228 subjects, based on the data in 2014TUS, and analyzed the differences in time use for occupation domains by age group. Results. It was found that a greater amount time used for outdoor leisure activities yielded a higher life satisfaction value. Differences were found in time use by occupation domains between younger and older groups. These showed higher life satisfaction for those with spouses, regular full-time jobs, higher education, and better health. Conclusion. Based on these results, in order to improve the quality of life (QoL) for older adults, it is necessary to develop various leisure programs that require dynamic physical activities and to prepare alternative policies at the national level to promote participation in leisure activities by older adults. This study will provide occupational therapists (OTs) with data they can use to help older adults who have difficulty in time usage through time management intervention to improve their life satisfaction and QoL.
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16

Robinson, John P. "Arts and Leisure Participation Among IT Users." Social Science Computer Review 29, no. 4 (December 27, 2010): 470–80. http://dx.doi.org/10.1177/0894439310385643.

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A major concern about new technologies like IT is how much they might displace time on media and other daily activities. Three highly-publicized early studies of the initial impact of IT indicated it was reducing time on both social life and mass media use. However, data from a number of high-quality national surveys since then—from the Pew Center, the General Social Survey (GSS), the Survey of Public Participation in the Arts (SPPA) and the American Time Use Survey (ATUS)—have not replicated these results, in some cases finding increased social life and media use (especially reading) among IT users. The present article examines data from two separate national surveys (the GSS 2002 and the SPPA 2008), Even though the two studies asked different IT questions and examined different arts activities over different periods of Internet diffusion, progressively higher arts participation was found among Internet users, before and after education and other predictors of arts activity were controlled. The SPPA data also show that users and heavier IT users were also more active in a variety of other free time activities like attending movies, volunteering and sports. IT use here then becomes a away of extending or enhancing live attendance rather than displacing it. However, the results also raise questions about whether these correlations result from a “response set” of respondents overestimating their activity participation.
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17

Fatihah Mohd Fauzi, Nurul, and Dimas B. E. Dharmowijoyo. "Activity-travel participation, multitasking in travel and daily well-being." MATEC Web of Conferences 270 (2019): 03014. http://dx.doi.org/10.1051/matecconf/201927003014.

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Using hierarchical liniear regression and multi-dimensional three-week household time-use and activity diary, this study investigated the interaction among spatiotemporal variables on percentage time of engaging multitasking in travel, and how endogenous of percentage time of engaging multitasking in travel interact with other spatiotemporal variables on individuals’ daily subjective well-being. Different from descriptive analysis result, the result in using hierarchical linear regression shows that having tighter time-space constraints tend to positively correlate with performing multitasking activities within travel more often. Moreover, the ones who peform more trips such as the youngest travellers and someone from middle income tend to perform multitasking activities in travel more often. Endogenous of percentage time of engaging multitasking in travel shows positive correlation on improving someone’s daily well-being, as expected. In term of policy implication, undertaking passive leisure within travel can be suggested to improve someone’s daily well-being. The opportunity to undertake passive leisure within travel can be an advantage of using public transport.
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18

Navarrete-Valdebenito, Mabel, and Leonardo Vidal-Hernández. "Time use in daily activities by Chilean overweight and obese adolescents." Revista de la Facultad de Medicina 67, no. 4 (October 1, 2019): 463–68. http://dx.doi.org/10.15446/revfacmed.v67n4.67727.

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Introduction: Obesity is a global serious public health issue. According to the World Health Organization, insufficient physical activity and increased sedentary behaviors are the leading causes of this condition.Objective: To compare the time that overweight/obese and normal-weight adolescents spend in daily activities according to sex and the type of school they attend.Materials and methods: Quantitative and analytical research. 106 Chilean teenagers were assessed to determine their nutrition diagnosis based on their weight, height, pubertal development (Tanner stages) and body mass index. A written survey was used to collect data on how they spend their time in different activities during a typical day on weekdays. Statistical analysis was performed using the Mann-Whitney U test, in which two non-parametric samples are compared.Results: Statistically significant differences regarding the distribution of the time that adolescents devote to engaging in social participation and leisure time activities were observed: overweight/obese teenagers spend less time in these activities.Conclusion: the way that adolescents use their time could be considered as a risk factor for obesity that requires a deeper analysis. Overweight and obese adolescents have a low participation rate in social participation and leisure activities. Undoubtedly, how time is spent is increasingly regarded as a well-being indicator; therefore, further research should focus on the effectiveness of interventions based on the modification of daily routines.
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19

Wilson, Oliver W. A., Hamish McEwen, Paul Kelly, and Justin Richards. "Declines in Physical Activity among New Zealand Adults during the COVID-19 Pandemic: Longitudinal Analyses of Five Data Waves from Pre-Pandemic through April 2021." International Journal of Environmental Research and Public Health 19, no. 7 (March 29, 2022): 4041. http://dx.doi.org/10.3390/ijerph19074041.

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Insights specific to the impact of the COVID-19 pandemic on physical activity participation in New Zealand (NZ) is limited. The purpose of this study was to examine longitudinal changes in leisure-time physical activity from pre-pandemic through April 2021. Demographic characteristics (age, gender, ethnicity, deprivation, disability status) and numerous indicators of leisure-time physical activity participation were assessed in a cohort of NZ adults (n = 1854, 54.6% women) over five waves (pre-pandemic, April 2020, June 2020, September 2020, and April 2021). Repeat measures were completed for: proportion participating in any physical activity; proportion meeting aerobic physical activity recommendations; physical activity duration; number of physical activities. There was a significant (p < 0.05) decline in mean physical activity duration and number of activities during the initial lockdown period in April 2020, but the proportion participating in any physical activity and the proportion meeting physical activity recommendations remained stable. However, all four physical activity participation indicators were significantly (p < 0.05) below pre-pandemic levels in all subsequent waves. Considerable and sustained declines in NZ adult leisure-time physical activity participation were evident over the first year of the pandemic. As of April 2021, physical activity participation showed limited signs of recovering to pre-pandemic levels.
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20

Rokicka, Magdalena, and Olga Zajkowska. "Informal Elderly Caregiving and Time Spent on Leisure: Evidence from Time Use Survey." Ageing International 45, no. 4 (September 30, 2020): 393–410. http://dx.doi.org/10.1007/s12126-020-09396-5.

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Abstract This paper examines the risk of time poverty defined as leisure participation among informal caregivers of adults and older people. We draw on the most recent time use survey conducted in Poland, which incorporated more than 28,000 households in 2013. We assess the extent to which caregivers are more likely to experience shortages of time spent on physical activity, hobbies, and social life. Additional information about respondents’ time preferences allows us to examine not only the objective and relative time deficits of caregivers, but also the subjective and expressed ones. We distinguish between co-resident caregivers and those living outside the household of care recipients, simultaneously accounting for the differences between male and female caregivers, as well as care provided during working days (Monday-Friday), and that provided on weekends (Saturday-Sunday). Our results indicate that caregivers for adults are in general more likely to allocate less time to physical activity, hobbies, and their social lives. This effect, however, is observed primarily among co-resident caregivers, both male and female. The leisure time of caregivers is more noticeably affected during weekends than on working days. Concurrently, caregivers are more likely to admit that they wish to spend more time on different forms of leisure activity. This confirms the hypothesis of a trade-off between time allocated to elderly care and that allocated to self-care, which can be detrimental to the health, life satisfaction, and wellbeing of informal caregivers.
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21

Rombaldi, Airton J., Ana M. B. Menezes, Mario Renato Azevedo, and Pedro C. Hallal. "Leisure-Time Physical Activity: Association With Activity Levels in Other Domains." Journal of Physical Activity and Health 7, no. 4 (July 2010): 460–64. http://dx.doi.org/10.1123/jpah.7.4.460.

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Анотація:
Objectives:To explore whether participation in leisure-time physical activity (LTPA) is associated with participation in occupational, housework, and transport-related physical activity.Methods:Population-based cross-sectional study covering a multistage sample of 972 subjects age 20 to 69 years. Physical activity was measured using the long version of the International Physical Activity Questionnaire. A LTPA score was calculated as follows: min/wk of walking + min/wk of moderate-intensity physical activity + (min/wk of vigorous-intensity physical activity × 2). Similar scores were generated for each domain. For categorical analyses, the scores were divided into 3 categories: 0 min/wk, 10−149 min/wk, and ≥150 min/wk.Results:The proportion of subjects practicing less than 150 min/wk of physical activity in each domain was: leisure-time (69.8%), occupational (58.3%), housework (35.0%), transportation (51.9%). Subjects with a transport-related physical activity score equal to or above 150 min/wk were 40% less likely to be sedentary in leisure-time in comparison with those who did not practice transport-related physical activity. Housework and occupational physical activity were not related to participation in LTPA.Conclusions:Future physical activity campaigns should focus on other domains instead of LTPA alone, particularly supporting transport-related physical activity as a strategy of health promotion.
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22

Bardus, Marco, Holly Blake, Scott Lloyd, and L. Suzanne Suggs. "Reasons for participating and not participating in a e-health workplace physical activity intervention." International Journal of Workplace Health Management 7, no. 4 (November 4, 2014): 229–46. http://dx.doi.org/10.1108/ijwhm-11-2013-0040.

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Анотація:
Purpose – The purpose of this paper is to investigate the reasons for participating and not participating in an e-health workplace physical activity (PA) intervention. Design/methodology/approach – Semi-structured interviews and two focus groups were conducted with a purposive sample of employees who enrolled and participated in the intervention and with those who did not complete enrolment, hence did not participate in it. Data were examined using thematic analysis according to the clusters of “reasons for participation” and for “non-participation”. Findings – Reported reasons for participation included a need to be more active, to increase motivation to engage in PA, and to better manage weight. Employees were attracted by the perceived ease of use of the programme and by the promise of receiving reminders. Many felt encouraged to enrol by managers or peers. Reported reasons for non-participation included lack of time, loss of interest towards the programme, or a lack of reminders to complete enrolment. Practical implications – Future e-health workplace behavioural interventions should consider focusing on employees’ needs and motivators to behaviour change, provide regular reminders for participants to complete enrolment and ensure that procedures are completed successfully. Barriers to participation could be identified through formative research with the target population and feasibility studies. Originality/value – This study combines a qualitative analysis of the reasons why some employees decided to enrol in a workplace PA intervention and why some others did not. This study highlights factors to consider when designing, implementing and promoting similar interventions and that could inform strategies to enhance participation in workplace PA interventions.
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23

CHEAH, YONG KANG, and ANDREW K. G. TAN. "DETERMINANTS OF LEISURE-TIME PHYSICAL ACTIVITY: EVIDENCE FROM MALAYSIA." Singapore Economic Review 59, no. 02 (June 2014): 1450017. http://dx.doi.org/10.1142/s0217590814500179.

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This paper examines how socio-demographic and health-lifestyle factors determine participation and duration of leisure-time physical activity in Malaysia. Based on the Malaysia Non-Communicable Disease Surveillance-1 data, Heckman's sample selection model is employed to estimate the probability to participate and duration on physical activity. Results indicate that gender, age, years of education and family illness history are significant in explaining participation probability in leisure-time physical activity. Gender, income level, smoking-status and years of education are significant in explaining the weekly duration conditional on participation, whereas smoking-status and years of education are significant in determining the unconditional level of leisure-time physical activity.
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24

Liu, Huijun, Yaolin Pei, and Bei Wu. "Association between cognitive functioning and active life engagement: A time-use study of older adults in rural China." International Journal of Population Studies 8, no. 1 (June 27, 2022): 52. http://dx.doi.org/10.18063/ijps.v8i1.1301.

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This study aimed to examine the pattern of active life engagement and the association between cognitive functioning and active life engagement among older adults in rural China. Two waves of panel data with the previous day’s activities in a time-use survey were collected among older adults age 60 and older in rural China. Logistic and OLS regressions were used to examine the impacts of cognitive functioning on participation and intensity in six types of activities. The overall active life engagement level of older adults in rural China was relatively low. Cognitive functioning and its decline significantly associated with the active life engagement. Older adults with higher cognitive functioning were more likely to engage in household work, recreational activity, and socially connected activity, and the decline in cognitive functioning was also significantly associated with the lower likelihood of engaging in household work, recreational activity, physical activity, and lower intensity of socially connected activity. Participation in diverse life activities is an important component of successful aging. The findings of this study suggest the need for increasing awareness of the influence of cognition on daily activities. Future interventions need to consider cognitive health to maximize active life engagement in Chinese rural older adults.
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Wilson, Oliver W. A., Simon R. Walters, Michael E. Naylor, and Jenny C. Clarke. "University Students’ Negotiation of Physical Activity and Sport Participation Constraints." Recreational Sports Journal 43, no. 2 (October 2019): 84–92. http://dx.doi.org/10.1177/1558866119883600.

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University (i.e., college) students often encounter constraints to physical activity and sport participation that alter, or totally prevent, participation. The purpose of this study was to examine first-year university students’ negotiation of participation constraints and how their negotiation strategies had changed following the transition from high school to a university ( transition). Data were collected from 121 first-year students at a New Zealand university using an online questionnaire. Data were collected on the duration, frequency, and types of physical activity in relation to high school and university, sociodemographic variables, and students’ use of negotiation strategies. Changes in negotiation and participation following the transition were assessed using open-ended questions. Following the transition, students’ participation preferences/patterns had changed. Analysis revealed three prominent negotiation factors: well-being management, interpersonal, and time prioritization and financial management. Differences in negotiation based on sociodemographic variables and participation were also revealed. The relationships between motives, negotiation, constraints, and participation were also explored.
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26

Habib, Khandker. "Investigating multiple activity participation and time-use decisions by using a multivariate Kuhn-Tucker demand system model." Transportation Letters 1, no. 4 (October 2009): 257–69. http://dx.doi.org/10.3328/tl.2009.01.04.257-269.

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27

Schoeppe, Stephanie, Markus Röbl, Sebastian Liersch, Christian Krauth, and Ulla Walter. "Mothers and Fathers Both Matter: The Positive Influence of Parental Physical Activity Modeling on Children’s Leisure-Time Physical Activity." Pediatric Exercise Science 28, no. 3 (August 2016): 466–72. http://dx.doi.org/10.1123/pes.2015-0236.

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Purpose:To investigate associations between maternal and paternal sport participation, and children’s leisure-time physical activity, and to explore differences by child gender.Method:The sample comprised 737 year five students (mean age: 11.0 ± 0.6 years, 52% male) recruited through the Fit for Pisa Project which was conducted in 2008 at 6 secondary schools in Goettingen, Germany. Maternal and paternal sport participation were assessed through child reports of mothers’ and fathers’ weekly participation in sport. Children’s leisure-time physical activity was measured as minutes/week that children engaged in organized and nonorganized sport. Multiple linear regression was used to assess associations between maternal and paternal sport participation, and children’s leisure-time physical activity.Results:Both maternal and paternal sport participation were positively associated with children’s leisure-time physical activity (maternal: b = 34.20, p < .001; paternal: b = 25.32, p < .05). When stratifying analyses by child gender, maternal sport participation remained significantly associated with leisure-time physical activity in girls (b = 60.64, p < .001). In contrast, paternal sport participation remained significantly associated with leisure-time physical activity in boys (b = 43.88, p < .01).Conclusion:Both maternal and paternal modeling positively influence children’s leisure-time physical activity.
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Soltero, Erica G., Alejandra Jáuregui, Edith Hernandez, Simón Barquera, Edtna Jáuregui, Juan Ricardo López-Taylor, Luis Ortiz-Hernández, Lucie Lévesque, and Rebecca E. Lee. "Associations between Screen-Based Activities, Physical Activity, and Dietary Habits in Mexican Schoolchildren." International Journal of Environmental Research and Public Health 18, no. 13 (June 24, 2021): 6788. http://dx.doi.org/10.3390/ijerph18136788.

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Screen-based activities are associated with increased risk of obesity and contribute to physical inactivity and poor dietary habits. The primary aim of this study was to examine the associations among screen-based activities, physical activity, and dietary habits in school-aged children in Guadalajara, Puerto Vallarta, and Mexico City, Mexico. The secondary aim was to examine these associations across sex. The School Physical Activity and Nutrition survey was used to assess screen-based activities (TV watching, video game use, computer use), physical activity, and dietary habits. Organized activity/sports participation, unhealthy dietary habits, and household income were correlated with screen-based activities. While TV watching was associated with decreased participation in organized activity/sports participation, computer and video game use was associated with increased organized activity/sports participation. Boys engaged in more TV watching and video game use compared to girls. All screen-based activities were associated with age among boys; whereas video game and computer use were associated with higher income among girls. These findings suggest a need for sex- and age-specific strategies that acknowledge the differential use of screen-based activities across sex and age. Future research should continue to identify underlying correlates linking screen-based activities with health behaviors to inform strategies to reduce screen-time in Mexican children.
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29

Ali, Mujahid, Dimas Bayu Endrayana Dharmowijoyo, Afonso R. G. de Azevedo, Roman Fediuk, Habil Ahmad, and Bashir Salah. "Time-Use and Spatio-Temporal Variables Influence on Physical Activity Intensity, Physical and Social Health of Travelers." Sustainability 13, no. 21 (November 5, 2021): 12226. http://dx.doi.org/10.3390/su132112226.

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Using a multi-dimensional three-week household time-use and activity diary, this study aims to investigate the interaction between time-use and activity travel participation, built environment, leisure-time physical activity, travel parameters, and physical intensity on physical and social health. The relationship between time-use and activity travel participation is complex. Therefore, physical activity (PA) intensity is assumed to intermediate the relationship between endogenuous and exogenous variables. This study use a comprehensive set of data that was collected at a household level for twenty-one (21) consecutive days. A total of 732 individuals and 191 households were recorded, representing 0.029% total population of Bandung Metropolitan Area (BMA). The data analyzed with descriptive and linear regression analysis using Statistical Package for Social Sciences SPSS version 26.0.0 software (IBM: Armonk, NY, USA). An advanced model, such as the hierarchical Structural Equation Model (SEM), is used to validate the relationship between activity patterns and health parameters. The estimated results indicate that a minute increase in public transport mode has an 8.8% positive correlation with physical health and 9.0% with social health. Furthermore, an increase in the one-minute duration of in-home maintenance and out-of-home leisure activities are positively correlated by 2.9% and 3.2%, respectively, with moderate-intensity PA and by 4.5% and 1.8% strenuous-intensity PA. Additionally, high accessibility and availability of basic amenities at a walkable distance and using auxiliary time in social activities are significantly correlated with better physical and social health. Moreover, this study adopted multidisciplinary approaches for better transport policy and a healthier society with a better quality of life.
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30

Zhang, Junyi, Lili Xu, and Akimasa Fujiwara. "Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour." Transportation 39, no. 1 (January 30, 2011): 125–49. http://dx.doi.org/10.1007/s11116-011-9321-5.

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31

Skowron, Maya A., Monika Stodolska, and Kimberly J. Shinew. "Determinants of Leisure Time Physical Activity Participation Among Latina Women." Leisure Sciences 30, no. 5 (September 24, 2008): 429–47. http://dx.doi.org/10.1080/01490400802353174.

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32

Yu, Stella M., McHale Newport-Berra, and Jihong Liu. "Out-of-School Time Activity Participation Among US-Immigrant Youth." Journal of School Health 85, no. 5 (April 5, 2015): 281–88. http://dx.doi.org/10.1111/josh.12255.

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33

Kirk, Megan A., and Ryan E. Rhodes. "Occupation Correlates of Adults' Participation in Leisure-Time Physical Activity." American Journal of Preventive Medicine 40, no. 4 (April 2011): 476–85. http://dx.doi.org/10.1016/j.amepre.2010.12.015.

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34

Brandt, Åse, Susanne Iwarsson, and Agneta Ståhle. "Older people's use of powered wheelchairs for activity and participation." Journal of Rehabilitation Medicine 36, no. 2 (March 1, 2004): 70–77. http://dx.doi.org/10.1080/16501970310017432.

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35

Rowland, T. "Sport and Physical Activity Participation and Substance Use Among Adolescents." Yearbook of Sports Medicine 2006 (January 2006): 273–74. http://dx.doi.org/10.1016/s0162-0908(08)70435-5.

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36

Moore, Michele J., and Chudley E. “Chad” Werch. "Sport and physical activity participation and substance use among adolescents." Journal of Adolescent Health 36, no. 6 (June 2005): 486–93. http://dx.doi.org/10.1016/j.jadohealth.2004.02.031.

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37

Thomas, Nathaniel S., Jessica E. Salvatore, Nathan A. Gillespie, Fazil Aliev, Albert J. Ksinan, and Danielle M. Dick. "Cannabis use in college: Genetic predispositions, peers, and activity participation." Drug and Alcohol Dependence 219 (February 2021): 108489. http://dx.doi.org/10.1016/j.drugalcdep.2020.108489.

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38

Sit, Cindy H. P., Jessica W. K. Lam, and Thomas L. McKenzie. "Children's Use of Electronic Games: Choices of Game Mode and Challenge Levels." International Journal of Pediatrics 2010 (2010): 1–6. http://dx.doi.org/10.1155/2010/218586.

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Introduction. Interactive electronic games are popular and are believed to contribute to physical activity accrual. The purpose of this study was to examine children's electronic game use during conditions in which they had free access to selecting interactive and seated screen-based versions of electronic games and during the interactive versions had free choice in making adjustments to the activity intensity.Methods. We systematically observed 60 Hong Kong primary school children during two 60-minute game sessions while simultaneously recording their game mode choices and physical activity levels using SOFIT (System for Observing Fitness Instruction Time).Results. When given free choice, children spent more than half of their available time participating in interactive versions of games. These versions of games provided significantly more moderate-to-vigorous physical activity and greater energy expenditure than the computer screen versions. Children with the opportunity to modify intensity levels spent more time playing the interactive versions and accrued more physical activity.Conclusions. The tenets of behavioral choice theory were supported. Access to new-generation interactive games, particularly those with modifiable intensity levels, may facilitate children's participation in physical activity.
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39

Mihaila, Iulia, Sigan L. Hartley, Benjamin L. Handen, Peter D. Bulova, Rameshwari V. Tumuluru, Darlynne A. Devenny, Sterling C. Johnson, Patrick J. Lao, and Bradley T. Christian. "Leisure Activity and Caregiver Involvement in Middle-Aged and Older Adults With Down Syndrome." Intellectual and Developmental Disabilities 55, no. 2 (April 1, 2017): 97–109. http://dx.doi.org/10.1352/1934-9556-55.2.97.

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Abstract The present study examined leisure activity and its association with caregiver involvement (i.e., residence and time spent with primary caregiver) in 62 middle-aged and older adults with Down syndrome (aged 30–53 years). Findings indicated that middle-aged and older adults with Down syndrome frequently participated in social and passive leisure activities, with low participation in physical and mentally stimulating leisure activities. Residence and time spent with primary caregiver were associated with participation in physical leisure activity. The findings suggest a need for support services aimed at increasing opportunities for participating in physical and mentally stimulating leisure activity by middle-aged and older adults with Down syndrome. These support services should partner with primary caregivers in order to best foster participation in physical leisure activity.
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40

Desha, Laura N., and Jenny M. Ziviani. "Use of time in childhood and adolescence: A literature review on the nature of activity participation and depression." Australian Occupational Therapy Journal 54, no. 1 (March 22, 2007): 4–10. http://dx.doi.org/10.1111/j.1440-1630.2006.00649.x.

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41

Shenoi, Rohit P., James G. Linakis, Julie R. Bromberg, T. Charles Casper, Rachel Richards, Thomas H. Chun, Victor M. Gonzalez, Michael J. Mello, and Anthony Spirito. "Association of Physical Activity, Sports, and Screen Time With Adolescent Behaviors in Youth Who Visit the Pediatric Emergency Department." Clinical Pediatrics 61, no. 4 (February 13, 2022): 335–46. http://dx.doi.org/10.1177/00099228221075094.

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Moderate to vigorous physical activity (MVPA), sports, and reduced screen time are associated with favorable youth risk profiles. We evaluated the association of MVPA, sports, and screen time with adolescent behaviors among pediatric emergency department youth. Adolescents were assessed for alcohol/drug use, risky behavior, conduct disorder, and depressive mood. MVPA was activity for ≥5 days/week and ≥60 minutes/day. Increased screen time was ≥3 hours/day computer/TV use for non-schoolwork. Multivariable regression studied association between MVPA, sports, and increased screen time and outcomes adjusting for demographics and academic achievement. Older age and lower academic achievement were significantly associated with risky behaviors, conduct disorder, and depression. Youth who endorsed MVPA and sports participation had less depression (odds ratio [OR] = 0.76; confidence interval [CI] = 0.66-0.87). Increased screen time was associated with conduct disorder (OR = 1.6; CI = 1.3-2.1), depression (OR = 1.2; CI = 1.0-1.4), and drug use (OR = 1.8; CI = 1.1-2.8). In pediatric emergency department youth, MVPA and sports participation is associated with less depression. Increased screen time is associated with conduct disorders, depression, and drug use.
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42

Shores, Kindal A., and Stephanie T. West. "Pursuing Leisure During Leisure-Time Physical Activity." Journal of Physical Activity and Health 7, no. 5 (September 2010): 685–94. http://dx.doi.org/10.1123/jpah.7.5.685.

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Background:While considerable attention has been given to quantifying leisure-time physical activity (LTPA) among subpopulations, less attention has focused on the perception of the experience as leisure. The current study describes the prevalence of leisure-like experiences during LTPA among college students. We describe the social contexts and activity settings that contribute to participant enjoyment of LTPA since enjoyment has been linked to participation and adherence.Methods:Data were collected from 192 undergraduate students using a short questionnaire and 2 days of time diaries.Results:Respondents spent nearly equal time working, sleeping, and engaged in discretionary activities. Students reported 512 minutes of discretionary time each day, of which 77 minutes were spent in LTPA and 68% was classified by respondents as leisure. Active sports/ exercise (including aerobics and weight lifting), walking, and dancing at bars or parties were the most frequent LTPA choices. When LTPA involved the presence of human companions, activities were more likely to be perceived by respondents as leisure experiences. Physical activities undertaken at public parks, bars/dance clubs and private recreation centers were also more likely to be perceived as leisure experiences.Conclusions:Findings indicate that social instead of traditional exercise activities may motivate LTPA participation among college students. For example, results suggest the importance of dancing in this population.
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43

Saepudin, Asep. "The Influence Of Participation In Extracurricular Activities To Learning Motivation." MIMBAR, Jurnal Sosial dan Pembangunan 33, no. 2 (December 27, 2017): 251. http://dx.doi.org/10.29313/mimbar.v33i2.2223.

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This study discusses the participations in extracurricular activities toward the learners' learning motivation at CLC Nusa Bangsa. This study use descriptive method with quantitative approach. The technique of collecting data is using questionnaire. The population from this study were 36 learners of package B and C equality program at CLC Nusa Bangsa are 36 persons as the sample by using random sampling technique, it could be concluded that: 1) the learners learning motivation in the equality program at CLC Nusa Bangsa showed high participations in extracurrivular activity by giving attention, observing, giving opinions, and making experiments as the indicators, 2) The learners learning motivation in the equality program at CLC Nusa Bangsa described high participations by making time for studying until the learning goals acvhieved, 3) the impact of the participations toward the extracurricular activity concluded that female learners had high participations which affected to their learning motivation by the range of age between 11-12 years old and 15-16 years old, the learners who only went to school for 8 years had high participations which affected their learning motivation and the learners who join package B program had high participation which affected their learning motivation.
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44

Kasturirangan, Krishnan, Ram M. Pendyala, and Frank S. Koppelman. "History Dependency in Daily Activity Participation and Time Allocation for Commuters." Transportation Research Record: Journal of the Transportation Research Board 1807, no. 1 (January 2002): 129–36. http://dx.doi.org/10.3141/1807-16.

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The role of history dependency in explaining activity-travel patterns of commuters is investigated. Specifically, the extent to which one day’s activity engagement affects activity frequencies and activity durations of the next day is examined. The analysis uses 2-day activity survey data collected in 1996 in the San Francisco Bay area. Models of daily activity engagement and time allocation are estimated as a function of the previous day’s activity pattern to understand day-to-day dependency in activity engagement. Results from the model estimation effort are used to draw conclusions about the extent to which history dependency exists (within a 2-day time frame) in modeling different activity types. The results suggest there is a strong positive history dependency in activity engagement between days within a 48-h time frame.
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45

Muhammad. "Use of Social Media in the Convenient 2020 Election of Regent and Deputy Regent Pandemic Time of Covid-19 in Majene District." East Asian Journal of Multidisciplinary Research 2, no. 4 (April 27, 2023): 1601–12. http://dx.doi.org/10.55927/eajmr.v2i4.3845.

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This study is measure how the use of social media in elections regent and deputy regent simultaneously 2020 during the Covid-19 pandemic, especially in the district Majene. Theory used _ is theory participation Samuel Huntington's politics divided participation into two parts that is participation conventional and non- conventional. Study done using survey method to the 400 respondents who entered to in must vote in the 2020 local elections with a 4% margin of error. Result of study show that public Majene is very adaptive with adjustments form participation politics at the Pilkada momentum in the middle the covid-19 pandemic . Scalable from survey that public take advantage of social media in do update information related local election Facebook is a social media with utilization highest society _ followed whatsapp , Instagram, youtube, tiktok, and twitter. Utilization the maximized For know information organizer election, you know record trail and candidate program until know activity candidate during the campaign period during the Covid-19 pandemic.
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46

Mortlock, Anita, Vanessa A. Green, Mary Jane Shuker, and Michael Johnston. "Working Together at Mat Time: Politics of Participation." Teachers' Work 11, no. 2 (August 21, 2015): 187–200. http://dx.doi.org/10.24135/teacherswork.v11i2.67.

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Learning as part of a group on the mat is a common experience in children’s early education and socialisation. Indeed, many classrooms world have a mat, to which the children are called in addition to chairs and tables (Poveda, 2001). Nonetheless, very little research exists about activity using the mat in junior classrooms either locally or internationally, particularly in relation to children’s perspectives. This paper reports recent findings from a doctoral study that investigated children’s experiences of working together on the mat in three year-two classrooms. Data were gathered through video-observations of teacher-facilitated activity on the mat and semi-structured interviews with children and teachers. The findings suggested that participation on the mat was affected by children’s relationships with each other. Specifically, social dynamics within the children’s peer group appeared to enable or block active participation for particular individuals. Teachers utilised inclusive strategies to ameliorate the affect of the peer group and to enhance participation for children who struggled to secure an active role.
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47

Cerin, Ester, Evie Leslie, Takemi Sugiyama, and Neville Owen. "Perceived Barriers to Leisure-Time Physical Activity in Adults: An Ecological Perspective." Journal of Physical Activity and Health 7, no. 4 (July 2010): 451–59. http://dx.doi.org/10.1123/jpah.7.4.451.

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Background:Perceived barriers are modifiable correlates of participation in physical activity. Associations of specific perceived barriers with participation in and level of walking for recreation, and other leisure-time physical activity (LTPA) were examined. Personal, social, and environmental factors associated with these perceived barriers were then examined.Methods:From 2003 to 2004, 2 surveys collected data on recreational walking and other LTPA, perceived barriers to participation, and personal, social, and environmental attributes, from 2194 Australian adults. Zero-inflated negative binomial regression models examined associations of perceived barriers with walking and other LTPA. Generalized linear models identified the correlates of these perceived barriers.Results:The perceived barriers of lack of motivation and time were associated with level of LTPA, while lack of motivation, poor health, and lack of facilities were associated with the odds of non-participation in LTPA. Personal, social, and environmental factors independently contributed to variations in perceived barriers.Conclusions:Level and likelihood of participation in LTPA are associated with different perceived barriers. Perceived barriers are a function of both nonmodifiable personal factors and potentially modifiable personal, social, and environmental factors. These findings suggest that the provision of relevant environmental opportunities and social support may effectively reduce perceived barriers to LTPA.
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48

Wu, Pei-Fung, and Ya-Ping Ke. "Participation in Sports Clubs during College Is an Important Factor Associated with School Counselors' Participation in Leisure Time Activities." International Journal of Environmental Research and Public Health 19, no. 9 (May 5, 2022): 5632. http://dx.doi.org/10.3390/ijerph19095632.

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This study explored the physical activity participation, barriers to physical activity, attitudes toward physical activity, and physical activity levels of full-time school counselors at junior high schools in Kaohsiung City, Taiwan. The survey was conducted by means of a questionnaire. A total of 156 questionnaires were distributed, 137 were returned, and 130 were valid. The reliability and constructed validity of the questionnaire were analyzed using Cronbach’s alpha coefficient and factor analysis, respectively. The participants’ International Physical Activity Questionnaire (IPAQ) scores were estimated to assess their physical activity levels. Simple and multiple regression analyses were performed to analyze the effects of independent variables on the respondents’ physical activity levels and attitude toward physical activity. Of the respondents surveyed, 44.6%, 36.9%, and 18.5% had low, moderate, and high levels of physical activity according to their IPAQ scores, respectively. In total, 55.4% of the school counselors met the World Health Organization criteria for physical activity. Moreover, the results of the Kruskal–Wallis test showed that respondents with high levels of physical activity, aged ≥41, and who perceived themselves to be healthy were more likely to have participated in sports clubs during their college years. Furthermore, participation in sports clubs during college years and self-perceived health were significant predictors of attitude toward physical activity. In conclusion, participation in sports clubs during college was an important factor related to school counselors’ physical activity.
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49

Wilson, Clarke, and Mary Ann McColl. "Comparing integration and inclusion between Canadians and Americans with disabilities: Evidence from national surveys of time use." Canadian Journal of Disability Studies 8, no. 3 (May 24, 2019): 18–40. http://dx.doi.org/10.15353/cjds.v8i3.506.

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As Canada moves toward the passage of a federal statute assuring access and inclusion for disabled persons, inevitable comparisons arise between the statutory environments for people with disabilities in Canada and the USA. In previous research, we have used daily time use as a macro indicator of the degree of integration of people with disabilities into the wider society. If statutory protection of disabled persons is effective, activity participation should be similar between persons with and without disabilities in jurisdictions that are favorable to full participation. This paper provides the analysis of national survey data on time use in the United States and Canada for 2010. It shows that the dissimilarity of time use by persons with and without disabilities is smaller for Canadians than for Americans. This finding shows that disabled Canadians are more integrated into their wider society than disabled Americans. Paid work is one activity where Canadians and Americans with and without disabilities are most dissimilar. Regression analysis of time spent in paid work indicates that, with demographic and economic descriptors held constant, the American residency does not promote an advantage in paid work which is a key indicator of integration. This casts doubt on the effectiveness of statutory protections for persons with disabilities.
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50

Alderman, Brandon L., Tami B. Benham-Deal, and Jayne M. Jenkins. "Change in Parental Influence on Children’s Physical Activity Over Time." Journal of Physical Activity and Health 7, no. 1 (January 2010): 60–67. http://dx.doi.org/10.1123/jpah.7.1.60.

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Background:Parents are believed to play a pivotal role in their children’s health-related behaviors, including physical activity (PA). It is currently unclear, however, at what developmental period parental socialization has the strongest influence on child and/or adolescent PA levels. The purpose of this study was to take a developmental approach to examine parental influence on children’s PA levels over time.Methods:Parents (N = 70; 68 mothers) completed a questionnaire assessing PA habits, amount of time they engage in PA with their child, and reasons for their child’s PA participation at baseline (during child’s preschool years) and at follow-up, which occurred from 1 to 9 years later.Results:The results indicate that the relationship between parents’ and children’s physical activity patterns and parents’ reasons for their children’s participation in organized physical activity change over time. Parents also reported spending approximately 60 min per week engaged in physical activity together with their children at baseline compared with 40 min at follow-up.Conclusions:These findings help to extend previous research examining parental influences on children’s physical activity participation.
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