observed for outdoor time before school, after school, and on weekend days ( Supplementary Material 1 [available online]). When stratifying by country income status, the effect sizes were generally weaker in lower-middle-income countries ( Supplementary Material 2 [available online]). Table 2
Search Results
Relationships Between Outdoor Time, Physical Activity, Sedentary Time, and Body Mass Index in Children: A 12-Country Study
Richard Larouche, Emily F. Mire, Kevin Belanger, Tiago V. Barreira, Jean-Philippe Chaput, Mikael Fogelholm, Gang Hu, Estelle V. Lambert, Carol Maher, José Maia, Tim Olds, Vincent Onywera, Olga L. Sarmiento, Martyn Standage, Catrine Tudor-Locke, Peter T. Katzmarzyk, Mark S. Tremblay, and For the ISCOLE Research Group
Status and Trends of Physical Activity Surveillance, Policy, and Research in 164 Countries: Findings From the Global Observatory for Physical Activity—GoPA! 2015 and 2020 Surveys
Andrea Ramírez Varela, Pedro C. Hallal, Juliana Mejía Grueso, Željko Pedišić, Deborah Salvo, Anita Nguyen, Bojana Klepac, Adrian Bauman, Katja Siefken, Erica Hinckson, Adewale L. Oyeyemi, Justin Richards, Elena Daniela Salih Khidir, Shigeru Inoue, Shiho Amagasa, Alejandra Jauregui, Marcelo Cozzensa da Silva, I-Min Lee, Melody Ding, Harold W. Kohl III, Ulf Ekelund, Gregory W. Heath, Kenneth E. Powell, Charlie Foster, Aamir Raoof Memon, Abdoulaye Doumbia, Abdul Roof Rather, Abdur Razzaque, Adama Diouf, Adriano Akira Hino, Albertino Damasceno, Alem Deksisa Abebe, Alex Antonio Florindo, Alice Mannocci, Altyn Aringazina, Andrea Backović Juričan, Andrea Poffet, Andrew Decelis, Angela Carlin, Angelica Enescu, Angélica María Ochoa Avilés, Anna Kontsevaya, Annamaria Somhegyi, Anne Vuillemin, Asmaa El Hamdouchi, Asse Amangoua Théodore, Bojan Masanovic, Brigid M. Lynch, Catalina Medina, Cecilia del Campo, Chalchisa Abdeta, Changa Moreways, Chathuranga Ranasinghe, Christina Howitt, Christine Cameron, Danijel Jurakić, David Martinez-Gomez, Dawn Tladi, Debrework Tesfaye Diro, Deepti Adlakha, Dušan Mitić, Duško Bjelica, Elżbieta Biernat, Enock M. Chisati, Estelle Victoria Lambert, Ester Cerin, Eun-Young Lee, Eva-Maria Riso, Felicia Cañete Villalba, Felix Assah, Franjo Lovrić, Gerardo A. Araya-Vargas, Giuseppe La Torre, Gloria Isabel Niño Cruz, Gul Baltaci, Haleama Al Sabbah, Hanna Nalecz, Hilde Liisa Nashandi, Hyuntae Park, Inés Revuelta-Sánchez, Jackline Jema Nusurupia, Jaime Leppe Zamora, Jaroslava Kopcakova, Javier Brazo-Sayavera, Jean-Michel Oppert, Jinlei Nie, John C. Spence, John Stewart Bradley, Jorge Mota, Josef Mitáš, Junshi Chen, Kamilah S Hylton, Karel Fromel, Karen Milton, Katja Borodulin, Keita Amadou Moustapha, Kevin Martinez-Folgar, Lara Nasreddine, Lars Breum Christiansen, Laurent Malisoux, Leapetswe Malete, Lorelie C. Grepo-Jalao, Luciana Zaranza Monteiro, Lyutha K. Al Subhi, Maja Dakskobler, Majed Alnaji, Margarita Claramunt Garro, Maria Hagströmer, Marie H. Murphy, Matthew Mclaughlin, Mercedes Rivera-Morales, Mickey Scheinowitz, Mimoza Shkodra, Monika Piątkowska, Moushumi Chaudhury, Naif Ziyad Alrashdi, Nanette Mutrie, Niamh Murphy, Norhayati Haji Ahmad, Nour A. Obeidat, Nubia Yaneth Ruiz Gómez, Nucharapon Liangruenrom, Oscar Díaz Arnesto, Oscar Flores-Flores, Oscar Incarbone, Oyun Chimeddamba, Pascal Bovet, Pedro Magalhães, Pekka Jousilahti, Piyawat Katewongsa, Rafael Alexander Leandro Gómez, Rawan Awni Shihab, Reginald Ocansey, Réka Veress, Richard Marine, Rolando Carrizales-Ramos, Saad Younis Saeed, Said El-Ashker, Samuel Green, Sandra Kasoma, Santiago Beretervide, Se-Sergio Baldew, Selby Nichols, Selina Khoo, Seyed Ali Hosseini, Shifalika Goenka, Shima Gholamalishahi, Soewarta Kosen, Sofie Compernolle, Stefan Paul Enescu, Stevo Popovic, Susan Paudel, Susana Andrade, Sylvia Titze, Tamu Davidson, Theogene Dusingizimana, Thomas E. Dorner, Tracy L. Kolbe-Alexander, Tran Thanh Huong, Vanphanom Sychareun, Vera Jarevska-Simovska, Viliami Kulikefu Puloka, Vincent Onywera, Wanda Wendel-Vos, Yannis Dionyssiotis, and Michael Pratt
Physical Activity; HIC, high-income country; LIC, low-income country; LMIC, lower-middle-income country; NCD, noncommunicable disease; UMIC, upper-middle-income country. Note: The lighter-colored bars show the indicators’ lowest level (ie, surveillance: no surveillance, policy: no plan, population
Results From the First Para Report Card on Physical Activity for Children and Adolescents With Disabilities in the Philippines
Mary-Grace Kang, Audrey Anne Esguerra, Aila Nica Bandong, Roselle Guisihan, Frances Rom Lunar, Kristofferson Mendoza, Carlos Dominic Olegario, Yves Palad, Esmerita Rotor, and Gabriella Isabel Tablante
A comprehensive evaluation of physical activity (PA) engagement and policy implementation among Filipino children and adolescents with disabilities is vital in the promotion of an active healthy lifestyle. This is the first Para Report Card of the Philippines that presents the available evidence on the 10 commonly used PA indicators. Published and gray literature were searched for country-specific evidence on PA behaviors, physical fitness, and sources of influence. Stakeholders representing relevant national institutions, special education schools, and advocacy groups also provided input on the grades. Only Organized Sport and Government indicators had sufficient data to be graded F and B, respectively. The rest of the indicators were graded as incomplete due to the limited availability of nationally representative data. Findings of the Philippines 2022 Para Report Card on PA highlight the need to strengthen the documentation and evaluation of these indicators among Filipino children and adolescents with disabilities.
The GoPA! Second Set of Country Cards Informing Decision Making for a Silent Pandemic
Andrea Ramírez Varela and Michael Pratt
and 2020 indicators by country income group, research productivity (number of articles) was equal or better for 64 (78.0%) high-income countries (n = 82), 49 (87.5%) upper middle-income countries (n = 56), 37 (74.0%) lower middle-income countries (n = 50), and 25 (86.2%) low-income countries (n = 29
Physical Activity Interventions for Adults Aged 60+ Years in Low- and Middle-Income Countries: A Scoping Review
Gabriela Cuadra, Juliana S. Oliveira, Marina B. Pinheiro, Anne Tiedemann, Catherine Sherrington, Luiza Pivotto, Saman Khalatbari-Soltani, Sweekriti Sharma, and Nathalia Costa
-experimental 18 (43) Countries of origin and income classification Least developed countries 1 (2) Bangladesh <1 (1) Mozambique <1 (1) Lower middle-income countries 10 (23) India 2 (7) Indonesia 2 (4) Pakistan <1 (1) Nigeria 4 (9) Ukraine <1 (1) Vietnam <1 (1) Upper middle-income countries 89
Associations of the Built Environment With Physical Activity and Sedentary Time in Ugandan Outpatients With Mental Health Problems
Davy Vancampfort, Brendon Stubbs, James F. Sallis, Justine Nabanoba, David Basangwa, Adewale L. Oyeyemi, Sandra S. Kasoma, Marc De Hert, Inez Myin-Germeys, and James Mugisha
Mental and substance use disorders are important and growing public health problems, particularly in low- and middle-income countries (LMICs), 1 and account for 8.8% and 16.6% of the total burden of the disease in low-income and lower middle-income countries, respectively. 2 These disorders act
Sociodemographic Moderators of Environment–Physical Activity Associations: Results From the International Prevalence Study
Lilian G. Perez, Terry L. Conway, Adrian Bauman, Jacqueline Kerr, John P. Elder, Elva M. Arredondo, and James F. Sallis
, Sweden, and the United States. At the time of the study (2002–2003), Colombia was a lower middle-income country, Lithuania an upper middle-income, and the rest high-income countries. 24 The final analytical sample included 10,258 adults. Participants provided informed consent verbally or in writing. All
Physical Activity and Its Association With Body Mass Index: A Cross-Sectional Analysis in Middle-Aged Adults From 4 Sub-Saharan African Countries
Monica Muti, Lisa J. Ware, Lisa K. Micklesfield, Michele Ramsay, Godfred Agongo, Palwende R. Boua, Isaac Kisiangani, Ian Cook, Francesc Xavier Gómez-Olivé, Nigel J. Crowther, Chodziwadziwa Kabudula, Shane A. Norris, and Tinashe Chikowore
, 9 High-income countries have higher levels of leisure-time PA (LTPA) (28% of total PA) compared with the low, lower-middle, and upper-middle income countries (4%, 8%, and 13%, respectively). 8 Work-related PA has a higher contribution to total PA in the low and lower-middle income countries (57
Predictors of Postpartum Exercise According to Prepregnancy Body Mass Index and Gestational Weight Gain
Danielle Symons Downs, Krista S. Leonard, Jessica S. Beiler, and Ian M. Paul
SD , Pradhan R , Tran TD , Gualano RC , Fisher JRW . Reliability and validity of the Edinburg postnatal depression scale (EPDS) for detecting perinatal common mental disorders (PCMDs) among women in low-and lower-middle-income countries: a systematic review . BMC Pregnancy Childbirth
Promoting Physical Activity Among Children and Adolescents With Disabilities: The Translation of Policy to Practice Internationally
Cindy Sit, Salomé Aubert, Catherine Carty, Diego Augusto Santos Silva, José Francisco López-Gil, Piritta Asunta, Yves Palad, Roselle Guisihan, Jeongmin Lee, Kelly P. Arbour Nicitopoulos, Leigh M. Vanderloo, Heidi Stanish, Justin Haegele, Piotr K. Urbański, Jurate Pozeriene, Yeshayahu Hutzler, and Kwok Ng
PA guidelines. The PA policies were more developed in high-income compared with lower middle-income countries and in European and Western-Pacific regions compared with other areas. National PA guidelines for PWD were less well developed than for other population groups, despite the possibility that