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Reasons Why Older Adults Engage in Physical Exercise. Comparative Study Eastern Europe Versus Southern Europe

José M. Cancela, Karina Pereira, Irimia Mollinedo, Manuela Ferreira, and Pedro Bezerra

), types of exercise/sport undertaken, and years of education. Years of education were categorized for statistical analysis as primary school, <8 years; high school, 8–12 years; and university, >12 years. The authors named this categorization as education level. The 30-item PMQOA assesses the motives older

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Sport and Recreational Physical Activities Attenuate the Predictive Association of Multimorbidity With Increased Geriatric Depressive Symptoms: A 14-Year Follow-Up Study of Community-Dwelling Older Adults

Yonglin Liang, Francisco T.T. Lai, Joyce L.Y. Kwan, Wai Chan, and Eng-Kiong Yeoh

.4) 96 (17.9)  Some primary school 176 (33.8) 142 (26.5)  Primary school 97 (18.7) 82 (15.3)  Secondary/matriculation 115 (22.1) 133 (24.8)  University or above 52 (10.0) 83 (15.5) Number of chronic conditions (%) <.001  None 228 (43.8) 0 (0.0)  One 292 (56.2) 0 (0.0)  Two 0 (0.0) 224 (41.8)  Three 0 (0

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Association of Physical Activity With Cognitive Function Among Older Adults in Rural Sichuan, China

Julinling Hu, Yixun Chen, Nanyan Li, Yufei Wang, Yuliang Zha, and Junmin Zhou

status. In the study, age was grouped as 60–69 years old, 70–79 years old, and over 80 years old. Educational level was classified into illiteracy, primary school, middle school, and above. Marital status was divided into cohabited and did not cohabit. Lifestyle factors included sleeping time. Sleeping

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The Experience of Participating in Remotely Delivered Online Exercise Classes During the COVID-19 Pandemic Among Community-Dwelling Older Adults and Its Postpandemic Implications

Janet Lok Chun Lee, Vivian Wei Qun Lou, and Rick Yiu Cho Kwan

) Demographics and health characteristics Age  55–64 5 (21.6%)  65–74 14 (56.4%)  75–84 2 (12.9%)  >84 2 (8.6%) Sex  Female 23 (100%) Educational level  Primary school (incomplete) 2 (8.7%)  Primary school 4 (17.4%)  Secondary school 11 (47.8%)  Higher education (nondegree) 4 (17.4%)  University level or above 2

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Physical Activity Measured by Accelerometry in Mozambican Older Adult Women Attending a Regular Exercise Program

Timóteo Daca, António Prista, Francisco Tchonga, Inacio Crochemore-Silva, Felipe F. Reichert, Paulo Farinatti, and Go Tani

., Armonk, NY), and the level of statistical significance was set at P  ≤ .05. Results The mean age of participants was 67 ± 7 years (60–85 years old). Of the 72 participants, 30 (41.7%) were illiterate, 34 (47.2%) completed primary school, and eight (11.1%) finished at least secondary school. Only five

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Effect of Home-Based Exercise Program on Physical Function and Balance in Older Adults With Sarcopenia: A Multicenter Randomized Controlled Study

Ekin Ilke Sen, Sibel Eyigor, Merve Dikici Yagli, Zeynep Alev Ozcete, Tugba Aydin, Fatma Nur Kesiktas, Filiz Yildiz Aydin, Meltem Vural, Nilay Sahin, and Ayse Karan

, n (%)  Women 40 (87.0) 36 (81.8) .501**  Men 6 (13.0) 8 (18.2) Marital status, n (%)  Single 16 (34.8) 19 (43.2) .548**  Married 30 (65.2) 25 (56.8) Education level, n (%)  Primary school 34 (73.9) 30 (68.2) .777**  High school 9 (19.6) 12 (27.3)  University 3 (6.5) 2 (4.5) Physical inactivity

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Translation and Linguistic Validation of the Assessment of Physical Activity in Frail Older People into Simplified Chinese Using Cognitive Interviewing Methodology

YueLin Li, LinYu Lyu, Xing Fan, LiJuan Xu, RuoRan Zhao, YuBo Jiang, Jisu Seo, CaiFu Li, and Rhayun Song

.86 ± 6.31 73.71 ± 6.75 Sex  Female 4 (57.1) 3 (42.9)  Male 3 (42.9) 4 (57.1) Living status  Married or cohabiting 7 (100) 7 (100)  Living alone — — Education level  Primary school or less 4 (57.1) 3 (42.9)  Middle school 1 (14.3) 1 (14.3)  High school or higher 2 (28.6) 3 (42.9) Income, Chinese yuan  <2

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Prevalence and Sociodemographic Correlates of Meeting the 24-Hour Movement Guidelines Among Low-Income Brazilian Older Adults With Chronic Diseases

Antonio Henrique Germano Soares, Andrea Wendt, Inácio Crochemore-Silva, Clarice Martins, Arthur Oliveira Barbosa, Mauro Virgílio Gomes de Barros, and Rafael M. Tassitano

recommendation ( Ross et al., 2020 ). Proportion of older adults meeting individual and integrated recommendations was calculated. Covariates Sociodemographic Variables Participants self-reported their age (years), sex (male and female), skin color (White and non-White), education (no studies, primary school

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Associations Between Physical and Executive Functions Among Community-Dwelling Older Men and Women

Anna Tirkkonen, Jenni Kulmala, Tuomo Hänninen, Timo Törmäkangas, Anna Stigsdotter Neely, and Sarianna Sipilä

was categorized as low (primary school or less), medium (middle school, folk high school, vocational school, or secondary school), or high (high school diploma or university degree). Smoking categories were never, former, and current. For the analysis, smoking status was recoded as smokers (former and

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Effects of a Multicomponent Exercise and Therapeutic Lifestyle (CERgAS) Intervention on Gait Function in Lower-Income Urban-Dwelling Older Adults: A Cluster Randomized Controlled Trial

Debbie Ann Loh, Noran Naqiah Hairi, Farizah Mohd Hairi, Devi Peramalah, Shathanapriya Kandiben, Mohd Alif Idham Abd Hamid, Awang Bulgiba, Mushtahid Salam, Mas Ayu Said, Hussein Rizal, Mahmoud Danaee, and Wan Yuen Choo

(31.9) 28 (32.6)  With others 11 (6.7) 6 (7.0) Education level, n (%) .110  No formal education 27 (16.6) 12 (14.0)  Primary school 101 (62.0) 45 (52.3)  School/college/university 35 (21.5) 29 (33.7) Employment status, n (%) .142  Employed 23 (14.1) 5 (5.8)  Unemployed 115 (70.6) 66 (76.7)  Never