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The Association of Adolescent Fatness and Fitness With Risk Factors for Adult Metabolic Syndrome: A 22-Year Follow-up Study

Yoonsuk Jekal, YoonMyung Kim, Ji Eun Yun, Eun Sung Kim, Masayo Naruse, Ji Hye Park, Dong Hoon Lee, Seung-youn Hong, Sun Ha Jee, and Justin Y. Jeon

Background:

Few studies have been conducted to explore the associations of fatness and fitness during adolescence with risk factors of metabolic syndrome (MetS) during adulthood, particularly in Asians.

Methods:

Adolescent anthropometric and fitness data were collected during the participants’ high school years (N = 15,896) and their corresponding health examination data from adulthood were taken from the National Health Insurance Corporation (NHIC) in Korea. A total of 1,006 participants (6.3%) were analyzed in the study.

Results:

The odds ratios (ORs) for being overweight (BMI ≥ 25 kg/m2) during adulthood was 11.87 (95% CI: 4.19–33.59) in men and 8.44 (95% CI: 1.78–40.02) in women, respectively, in the fattest group vs. the leanest group during adolescence. Participants with low fitness levels during adolescence were more likely to be overweight and have abnormal MetS risk factors in adulthood vs. those with high fitness levels. Joint exposure analyses of fatness and fitness showed that male participants who were more fat and unfit during adolescence had 4.11 (95% CI: 1.19–14.14) and 3.04 (95% CI: 1.17–11.12) times higher risk of having abnormal glucose and MetS risks during adulthood, respectively.

Conclusions:

Fatness and fitness levels during adolescence appear to be significantly associated with the MetS risk factors and prevalence in adulthood in Koreans.

Open access

Results From South Korea’s 2016 Report Card on Physical Activity for Children and Youth

Yoonkyung Song, Hyuk In Yang, Eun-Young Lee, Mi-Seong Yu, Min Jae Kang, Hyun Joo Kang, Wook Song, YeonSoo Kim, Hyon Park, Han Joo Lee, Sang-hoon Suh, John C. Spence, and Justin Y. Jeon

Background:

South Korea’s 2016 Report Card on Physical Activity for Children and Youth is the first assessment of physical activity according to the indicators set by Active Healthy Kids Global Alliance.

Methods:

National surveys were used as preferred sources of data. This was then supported by peer-reviewed papers and government reports identified by a systematic search of the literature written in English or Korean. A Research Working Group then graded indicators based on the collected evidence.

Results:

Each indicator was graded as follows: Overall Physical Activity, D-; Organized Sport and Physical Activity Participation, C-; Active Transport, C+; Sedentary Behavior, F; School, D; Government and Investment, C; Active Play, Physical Literacy, Family and Peers, and Community and Built Environment were graded INC (incomplete) due to lack of available evidence.

Conclusions:

Though the final grades of key indicators for South Korean children and youth are not satisfactory, increasing interests and investments have been demonstrated at a national level. More evidence is required for comprehensive assessment on all indicators to better inform policy and practice. This should be accompanied by the use of consistent criteria to contribute to global efforts for active healthy kids.

Open access

Global Matrix 4.0 Physical Activity Report Card Grades for Children and Adolescents: Results and Analyses From 57 Countries

Salomé Aubert, Joel D. Barnes, Iryna Demchenko, Myranda Hawthorne, Chalchisa Abdeta, Patrick Abi Nader, José Carmelo Adsuar Sala, Nicolas Aguilar-Farias, Susana Aznar, Peter Bakalár, Jasmin Bhawra, Javier Brazo-Sayavera, Mikel Bringas, Jonathan Y. Cagas, Angela Carlin, Chen-Kang Chang, Bozhi Chen, Lars Breum Christiansen, Candice Jo-Anne Christie, Gabriela Fernanda De Roia, Christine Delisle Nyström, Yolanda Demetriou, Visnja Djordjic, Arunas Emeljanovas, Liri Findling Endy, Aleš Gába, Karla I. Galaviz, Silvia A. González, Kylie D. Hesketh, Wendy Yajun Huang, Omphile Hubona, Justin Y. Jeon, Danijel Jurakić, Jaak Jürimäe, Tarun Reddy Katapally, Piyawat Katewongsa, Peter T. Katzmarzyk, Yeon-Soo Kim, Estelle Victoria Lambert, Eun-Young Lee, Sharon Levi, Pablo Lobo, Marie Löf, Tom Loney, José Francisco López-Gil, Juan López-Taylor, Evelin Mäestu, Agus Mahendra, Daga Makaza, Marla Frances T. Mallari, Taru Manyanga, Bojan Masanovic, Shawnda A. Morrison, Jorge Mota, Falk Müller-Riemenschneider, Laura Muñoz Bermejo, Marie H. Murphy, Rowena Naidoo, Phuong Nguyen, Susan Paudel, Željko Pedišić, Jorge Pérez-Gómez, John J. Reilly, Anne Kerstin Reimers, Amie B. Richards, Diego Augusto Santos Silva, Pairoj Saonuam, Olga L. Sarmiento, Vedrana Sember, Mohd Razif Shahril, Melody Smith, Martyn Standage, Gareth Stratton, Narayan Subedi, Tuija H. Tammelin, Chiaki Tanaka, Riki Tesler, David Thivel, Dawn Mahube Tladi, Lenka Tlučáková, Leigh M. Vanderloo, Alun Williams, Stephen Heung Sang Wong, Ching-Lin Wu, Paweł Zembura, and Mark S. Tremblay

Background: The Global Matrix 4.0 on physical activity (PA) for children and adolescents was developed to achieve a comprehensive understanding of the global variation in children’s and adolescents’ (5–17 y) PA, related measures, and key sources of influence. The objectives of this article were (1) to summarize the findings from the Global Matrix 4.0 Report Cards, (2) to compare indicators across countries, and (3) to explore trends related to the Human Development Index and geo-cultural regions. Methods: A total of 57 Report Card teams followed a harmonized process to grade the 10 common PA indicators. An online survey was conducted to collect Report Card Leaders’ top 3 priorities for each PA indicator and their opinions on how the COVID-19 pandemic impacted child and adolescent PA indicators in their country. Results: Overall Physical Activity was the indicator with the lowest global average grade (D), while School and Community and Environment were the indicators with the highest global average grade (C+). An overview of the global situation in terms of surveillance and prevalence is provided for all 10 common PA indicators, followed by priorities and examples to support the development of strategies and policies internationally. Conclusions: The Global Matrix 4.0 represents the largest compilation of children’s and adolescents’ PA indicators to date. While variation in data sources informing the grades across countries was observed, this initiative highlighted low PA levels in children and adolescents globally. Measures to contain the COVID-19 pandemic, local/international conflicts, climate change, and economic change threaten to worsen this situation.