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MacEachern, Sarah; Forkert, Nils Daniel; Lemay, Jean-Francois; Dewey, Deborah – International Journal of Disability, Development and Education, 2022
Children and adolescents with disabilities benefit from physical activity. However, this population has lower fitness levels and higher rates of obesity than their peers, suggesting that they are not meeting physical activity guidelines and are experiencing barriers to participation. The purpose of this study was to quantify physical activity…
Descriptors: Children, Adolescents, Physical Disabilities, Intellectual Disability
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Sansano-Nadal, Oriol; Wilson, Jason J.; Martín-Borràs, Carme; Brønd, Jan Christian; Skjødt, Mathias; Caserotti, Paolo; Roqué I. Figuls, Marta; Blackburn, Nicole E.; Klenk, Jochen; Rothenbacher, Dietrich; Guerra-Balic, Myriam; Font-Farré, Manel; Denkinger, Michael; Coll-Planas, Laura; Deidda, Manuela; McIntosh, Emma; Giné-Garriga, Maria; Tully, Mark A. – Measurement in Physical Education and Exercise Science, 2022
The main aim of this study was to assess the criterion validity of the Sedentary Behavior Questionnaire (SBQ) to measure SB in community-dwelling older adults using thigh-measured accelerometry as the criterion method. 801 participants (75.6 ± 6.1 years old, 57.6% females) provided valid thigh-based accelerometer data (activPAL/Axivity) and…
Descriptors: Physical Activity Level, Life Style, Older Adults, Foreign Countries
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Bedard, Chloe; King-Dowling, Sara; Obeid, Joyce; Timmons, Brian W.; Ferro, Mark A. – Health Education & Behavior, 2022
This study measured physical activity (PA) and explored its correlates among children with multimorbidity (co-occurring chronic physical and mental illness; MM) versus those with chronic physical illness only (PI). This study used baseline data from the Multimorbidity in Children and Youth Across the Life Course (MY LIFE) study, an on-going cohort…
Descriptors: Physical Activity Level, Children, Comorbidity, Mental Disorders
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Machlin, Laura; McLaughlin, Katie A.; Sheridan, Margaret A. – Developmental Science, 2020
Low socioeconomic status (SES) is associated with greater risk for symptoms of attention-deficit/hyperactivity disorder (ADHD). One mechanism through which SES may confer risk for ADHD is by influencing brain structure. Alterations to cortical thickness, surface area and subcortical volume have been associated with low SES and with the presence of…
Descriptors: Socioeconomic Status, Socioeconomic Influences, Attention Deficit Hyperactivity Disorder, Brain
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Backman, Desiree R.; Kohatsu, Neal D.; Padovani, Andrew J.; Dao, Crystie; Ritley, Dominique; Fleuret, Julia E.; McCracken, Camlyn R. – Health Education Journal, 2023
Objectives: To (1) determine the weight-reducing effect of the Koa Family Program (KFP), a community-based, telewellness obesity intervention and (2) examine the impact of the KFP on improving weight-related health indicators. Design: Randomised controlled trial. Setting: Community-based in Sacramento, California, USA. Methods: Seventy women with…
Descriptors: Body Weight, Community Programs, Family Programs, Females
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Somaye Kavousipor; Mehdi Rassafiani; Carl Gabbard; Saeedeh Pourahmad; Seyed Ali Hosseini; Farin Soleimani; Abbas Ebadi – Early Child Development and Care, 2021
The purpose of the study was to evaluate fine- and gross-motor development and basic cognitive skills in 3-18 month-olds in relation to home factors, age and weight. Three hundred and seventy mother-child dyads were recruited. For age, two groups were analyzed: 3-11 months and 12-18 months. Motor and basic cognitive skills were assessed using the…
Descriptors: Foreign Countries, Psychomotor Skills, Motor Development, Child Development
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Kozakai, Rumi; Nishita, Yukiko; Otsuka, Rei; Ando, Fujiko; Shimokata, Hiroshi – Research Quarterly for Exercise and Sport, 2020
Physical fitness is one of the key factors in healthy aging. Although physical fitness is widely recognized to decline with age, age-related decreases in the individual dimensions of physical fitness in later life are less clear. Purpose: The purpose of the present study was to describe the age-related changes in six fitness components covering a…
Descriptors: Physical Fitness, Aging (Individuals), Older Adults, Adults
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Tas, Büsra; Bagis, Yunus Emre – Journal of Educational Issues, 2020
In the present study, the purpose was to examine the effects of some physical characteristics on the stroke speed in forehand and backhand techniques in tennis. The Study Group consisted of 10-12-year-old tennis players of Isparta Süleyman Demirel University Tennis Courts (mean age 10.15±0.37 (years), mean height 1.46±0.06 (m) mean body weight…
Descriptors: Males, Racquet Sports, Physical Characteristics, Body Weight
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Zimmo, Lena; Almudahka, Fuad; Ibrahim, Izzeldin; Al-kuwari, Mohamed G.; Farooq, Abdulaziz – Journal of Teaching in Physical Education, 2020
Purpose: Schools provide opportunities for children to accumulate recommended daily moderate to vigorous physical activity (MVPA). This study aimed to determine physical activity (PA) across the school day among elementary school children in Qatar. Methods: This cross-sectional study recruited 181 Grade 1 (5.8 ± 0.4 years) and Grade 4 (9.0 ± 0.5…
Descriptors: Physical Activity Level, Elementary School Students, Grade 1, Grade 4
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Oppewal, Alyt; Festen, Dederieke A. M.; Hilgenkamp, Thessa I. M. – American Journal on Intellectual and Developmental Disabilities, 2018
Gait is a relevant and complex aspect of motor functioning. Disturbances are related to negative health outcomes. Gait characteristics of 31 adults with intellectual disability (ID) without Down syndrome (DS) (42.77 ± 16.70 years) were investigated, and associations with age, sex, body mass index (BMI), and level of ID were assessed. Sex and BMI…
Descriptors: Psychomotor Skills, Adults, Intellectual Disability, Age Differences
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Lei, Xiaojing; Bussey, Kay; Hay, Phillipa; Mond, Jonathan; Trompeter, Nora; Lonergan, Alexandra; Mitchison, Deborah – Journal of School Violence, 2020
The aims of the current study were to provide the first Australian prevalence estimates of sexual harassment in adolescents, explore gender differences in form and frequency of harassment, and investigate demographic and weight status correlates. A total of 4098 adolescents (47.3% boys), aged 11 to 19 years from government and non-government…
Descriptors: Violence, School Safety, Sexual Harassment, High School Students
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Bayraktar, Isik; Bayrakdar, Akan – African Educational Research Journal, 2020
This research was conducted to determine whether there are differences between the norm values used in the evaluation of children who train in different sports and physical education lessons according to the chronological age and biological age of the children. The research group consists of a total of 239 male students of 13 (n=116) and 14…
Descriptors: Physical Education, Athletics, Age Differences, Biology
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Bastürk, Dede; Marangoz, Irfan – World Journal of Education, 2018
This study aims to analyze the effect of the relationship among leg volume, leg mass and flexibility on success in university student elite gymnasts. It was conducted on Haliç University, Marmara University, Çukurova University and University of Kirsehir Ahi Evran gymnastics teams (male and female) which took part in Turkish Intercollegiate…
Descriptors: Correlation, Human Body, College Students, Foreign Countries
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Viciana, Jesús; Mayorga-Vega, Daniel; Parra-Saldías, Maribel – European Physical Education Review, 2019
All Latin-American countries are affected by the lack of physical activity and its consequences on youth. Chile's population has shown troublingly low levels of moderate-to-vigorous physical activity. This is the first study using objectively measured physical activity levels in Chilean adolescents. The objectives were to compare the compliance…
Descriptors: Foreign Countries, Secondary School Students, Adolescents, Physical Activity Level
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Demirbilek, Muhammet; Minaz, Mert – Journal of Education in Science, Environment and Health, 2020
Smartphone addiction and physical inactivity are often a major public health problem across the world. This research was aimed to determine the smartphone addiction status, physical activity levels and related factors of university students. Using convenience sampling, university students in Isparta/Turkey completed two questionnaires in Spring…
Descriptors: Physical Activity Level, Life Style, Telecommunications, Handheld Devices
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