Anthropometric Indicators of the Cardiometabolic Risk, Muscle Strength, and Functional Capacity of Schoolchildren with Intellectual Disabilities during Lockdown in Chile
Abstract
:1. Introduction
2. Materials and Methods
2.1. Design and Participants
2.2. Variables and Instruments
2.2.1. Anthropometry and Cardiometabolic Risk
2.2.2. Muscle Strength
2.2.3. Functional Capacity
2.3. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Lai, S.; Ruktanonchai, N.W.; Zhou, L.; Prosper, O.; Luo, W.; Floyd, J.R.; Wesolowski, A.; Santillana, M.; Zhang, C.; Du, X.; et al. Effect of non-pharmaceutical interventions to contain COVID-19 in China. Nature 2020, 585, 410–413. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. What We Know about Long-Term Effects of COVID-19 (Coronavirus Update 36). 2020. Available online: https://www.who.int/publications/m/item/update-36-long-term-effects-of-covid-19 (accessed on 14 July 2022).
- Michalsen, H.; Wangberg, S.C.; Hartvigsen, G.; Jaccheri, L.; Muzny, M.; Henriksen, A.; Olsen, M.I.; Thrane, G.; Jahnsen, R.B.; Pettersen, G.; et al. Actividad física con soporte de mHealth a medida para personas con discapacidades intelectuales: Protocolo para un ensayo controlado aleatorizado. Protoc. De Investig. JMIR 2020, 9, e19213. [Google Scholar] [CrossRef] [PubMed]
- Krause, S.; Ware, R.; McPherson, L.; Lennox, N.; O’Callaghan, M. Obesity in adolescents with intellectual disability: Prevalence and associated characteristics. Obes. Res. Clin. Pract. 2016, 10, 520–530. [Google Scholar] [CrossRef] [PubMed]
- Wouters, M.; Evenhuis, H.M.; Hilgenkamp, T.I.M. Physical activity levels of children and adolescents with moderate-to-severe intellectual disability. J. Appl. Res. Intellect. Disabil. 2019, 32, 131–142. [Google Scholar] [CrossRef] [PubMed]
- Farías-Valenzuela, C.; Arenas-Sánchez, G.; Cofré-Bolado, C.; Espinoza-Salinas, A.; Alvarez-Arangua, S.; Espoz-Lazo, S. Pruebas dinamométricas y desempeño funcional en adolescentes con discapacidad intelectual moderada. J. Sport Health Res. 2019, 11 (Suppl. S2), 229–238. [Google Scholar]
- Barwick, R.B.; Tillman, M.D.; Stopka, C.B.; Dipnarine, K.; Delisle, A.; Sayedul Huq, M. Physical capacity and functional abilities improve in young adults with intellectual disabilities after functional training. J. Strength Cond. Res. 2012, 26, 1638–1643. [Google Scholar] [CrossRef]
- Hartman, E.; Smith, J.; Westendorp, M.; Visscher, C. Development of physical fitness in children with intellectual disabilities. J. Intellect. Disabil. Res. 2015, 59, 439–449. [Google Scholar] [CrossRef]
- Bouchard, C.; Shephard, R.J. Physical activity, fitness, and health: The model and key concepts. In Physical Activity, Fitness, and Health: International Proceedings and Consensus Statement; Bouchard, C., Shephard, R.J., Stephens, T., Eds.; Human Kinetics Publishers: Champaign, IL, USA, 1994; pp. 77–88. [Google Scholar]
- Farías-Valenzuela, C.; Alarcón-López, H.; Moraga-Pantoja, M.; Troncoso-Moreno, T.; Vega-Tobar, V.; Rivadeneira-Intriago, M.; Valdivia-Moral, P. Comparación de medidas antropométricas de riesgo cardiovascular, fuerza isométrica y funcionalidad entre adolescentes chilenos de ambos sexos con discapacidad intelectual. J. Sport Health Res. 2021, 13 (Suppl. S1), 75–86. [Google Scholar]
- Wouters, M.; Evenhuis, H.M.; Hilgenkamp, T.I.M. Physical fitness of children and adolescents with moderate to severe intellectual disabilities. Disabil. Rehabil. 2020, 42, 2542–2552. [Google Scholar] [CrossRef]
- Farias-Valenzuela, C.; de Moraes Ferrari, G.; Espoz-Lazo, S.; Jofré-Saldía, E.; Ferrero -Hernández, P.; Valdivia-Moral, P. Escuelas especiales de Chile: ¿Responsables del desarrollo de la condición física-funcional para la inclusión laboral de personas con discapacidad intelectual? J. Mov. Health 2021, 18, 1–3. [Google Scholar] [CrossRef]
- Friedman, C. The COVID-19 pandemic and quality of life outcomes of people with intellectual and developmental disabilities. Disabil. Health J. 2021, 14, 101117. [Google Scholar] [CrossRef] [PubMed]
- Theis, N.; Campbell, N.; De Leeuw, J.; Owen, M.; Schenke, K.C. The effects of COVID-19 restrictions on physical activity and mental health of children and young adults with physical and/or intellectual disabilities. Disabil. Health J. 2021, 14, 101064. [Google Scholar] [CrossRef] [PubMed]
- Yelizarova, O.; Stankevych, T.; Parats, A.; Polka, N.; Lynchak, O.; Diuba, N.; Hozak, S. The effect of two COVID-19 lockdowns on physical activity of school-age children. Sports Med. Health Sci. 2022, 42, 119–126. [Google Scholar] [CrossRef] [PubMed]
- Rúa-Alonso, M.; Rial-Vázquez, J.; Nine, I.; Lete-Lasa, J.R.; Clavel, I.; Giráldez-García, M.A.; Rodríguez-Corral, M.; Dopico-Calvo, X.; Iglesias-Soler, E. Comparison of Physical Fitness Profiles Obtained before and during COVID-19 Pandemic in Two Independent Large Samples of Children and Adolescents: DAFIS Project. Int. J. Environ. Res. Public Health 2022, 19, 3963. [Google Scholar] [CrossRef]
- Delisle Nyström, C.; Alexandrou, C.; Henström, M.; Nilsson, E.; Okely, A.D.; Wehbe El Masri, S.; Löf, M. International Study of Movement Behaviors in the Early Years (SUNRISE): Results from SUNRISE Sweden’s Pilot and COVID-19 Study. Int. J. Environ. Res. Public Health 2020, 17, 8491. [Google Scholar] [CrossRef]
- Faigenbaum, A.D.; Rial Rebullido, T.; MacDonald, J.P. The unsolved problem of paediatric physical inactivity: It’s time for a new perspective. Acta Paediatr. 2018, 107, 1857–1859. [Google Scholar] [CrossRef]
- Basterfield, L.; Burn, N.L.; Galna, B.; Batten, H.; Goffe, L.; Karoblyte, G.; Lawn, M.; Weston, K.L. Changes in children’s physical fitness, BMI and health-related quality of life after the first 2020 COVID-19 lockdown in England: A longitudinal study. J. Sports Sci. 2022, 40, 1088–1096. [Google Scholar] [CrossRef]
- Karatzi, K.; Poulia, K.-A.; Papakonstantinou, E.; Zampelas, A. The Impact of Nutritional and Lifestyle Changes on Body Weight, Body Composition and Cardiometabolic Risk Factors in Children and Adolescents during the Pandemic of COVID-19: A Systematic Review. Children 2021, 8, 1130. [Google Scholar] [CrossRef]
- Chambonnière, C.; Fearnbach, N.; Pelissier, L.; Genin, P.; Fillon, A.; Boscaro, A.; Bonjean, L.; Bailly, M.; Siroux, J.; Guirado, T.; et al. Adverse Collateral Effects of COVID-19 Public Health Restrictions on Physical Fitness and Cognitive Performance in Primary School Children. Int. J. Environ. Res. Public Health 2021, 18, 11099. [Google Scholar] [CrossRef]
- Servicio Nacional de la Discapacidad. II Estudio Nacional de la Discapacidad. 2015. Available online: https://www.senadis.gob.cl/pag/355/1197/ii_estudio_nacional_de_discapacidad (accessed on 22 July 2022).
- General Assembly of the World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles formedical research involving human subjects. J. Am. Coll. Dent. 2014, 81, 14. [Google Scholar]
- Ramírez, V.; Rosas, R. Estandarización del WISC-III en Chile: Descripción del Test, Estructura Factorial y Consistencia Interna de las Escalas. Psykhe 2007, 16, 91–109. [Google Scholar] [CrossRef]
- Rosas, R.; Tenorio, M.; Pizarro, M.; Cumsille, P.; Bosch, A.; Arancibia, S.; Carmona-Halty, M.; Pérez-Salas, C.; Pino, E.; Vizcarra, B.; et al. Estandarización de la Escala Wechsler de Inteligencia Para Adultos: Cuarta Edición en Chile. Psykhe 2014, 23, 1–18. [Google Scholar] [CrossRef]
- Moreno-González, M.I. Circunferencia de cintura: Una medición importante y útil del riesgo cardiometabólico. Rev. Chil. Cardiol. 2010, 29, 85–87. [Google Scholar] [CrossRef]
- Torres-Galaz, V.; Farías-Valenzuela, C.; Espoz-Lazo, S.; Álvarez-Arangua, S. Marcadores antropométricos de riesgo cardiovascular y diferentes manifestaciones de la fuerza en adolescentes y adultos chilenos con discapacidad intelectual moderada. Trances 2019, 11, 515–534. [Google Scholar]
- American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2013. [Google Scholar]
- Tejero-Gonzalez, C.M.; Martinez-Gomez, D.; Bayon-Serna, J.; Izquierdo-Gomez, R.; Castro-Piñero, J.; Veiga, O.L. Reliability of the ALPHA health-related fitness test battery in adolescents with Down syndrome. J. Strength Cond. Res. 2013, 27, 3221–3224. [Google Scholar] [CrossRef]
- Beerse, M.; Lelko, M.; Wu, J. Biomechanical analysis of the timed up-and-go (TUG) test in children with and without Down syndrome. Gait Posture 2019, 68, 409–414. [Google Scholar] [CrossRef]
- Bolado, C.C.; Martinez, J.C.; Cañas, C.C.; Rámirez, D.M.; Gutierrez, S.R.; Rosales, W.; Arangua, S.A.; Valenzuela, C.F. Validación del test 5 repeticiones de sentarse y levantarse en adultos mayores con artrosis en extremidades inferiores. J. Sport Health Res. 2021, 13 (Suppl. S1), 99–106. [Google Scholar]
- Mosbah, H.; Coupaye, M.; Jacques, F.; Tauber, M.; Clément, K.; Oppert, J.M.; Poitou, C. Effects of the COVID-19 pandemic and lockdown on the mental and physical health of adults with Prader-Willi syndrome. Orphanet J. Rare Dis. 2021, 16, 202. [Google Scholar] [CrossRef]
- Schalock, R.L.; Brown, I.; Brown, R.; Cummins, R.A.; Felce, D.; Matikka, L.; Keith, K.D.; Parmenter, T. Conceptualization, measurement, and application of quality of life for persons with intellectual disabilities: Report of an international panel of experts. Ment. Retard. 2002, 40, 457–470. [Google Scholar] [CrossRef]
- Ramos-Álvarez, O.; Arufe-Giráldez, V.; Cantarero-Prieto, D.; Ibáñez-García, A. Impact of SARS-CoV-2 Lockdown on Anthropometric Parameters in Children 11/12 Years Old. Nutrients 2021, 13, 4174. [Google Scholar] [CrossRef]
- Jalal, S.M.; Beth, M.R.M.; Al-Hassan, H.J.M.; Alshealah, N.M.J. Body Mass Index, Practice of Physical Activity and Lifestyle of Students During COVID-19 Lockdown. J. Multidiscip. Healthc. 2021, 14, 1901–1910. [Google Scholar] [CrossRef] [PubMed]
- Chang, T.H.; Chen, Y.C.; Chen, W.Y.; Chen, C.Y.; Hsu, W.Y.; Chou, Y.; Chang, Y.H. Weight Gain Associated with COVID-19 Lockdown in Children and Adolescents: A Systematic Review and Meta-Analysis. Nutrients 2021, 13, 3668. [Google Scholar] [CrossRef] [PubMed]
- Valenzise, M.; D’Amico, F.; Cucinotta, U.; Lugarà, C.; Zirilli, G.; Zema, A.; Wasniewska, M.; Pajno, G.B. The lockdown effects on a pediatric obese population in the COVID-19 era. Ital. J. Pediatr. 2021, 47, 209. [Google Scholar] [CrossRef] [PubMed]
- Segal, M.; Eliasziw, M.; Phillips, S.; Bandini, L.; Curtin, C.; Kral, T.V.E.; Sherwood, N.E.; Sikich, L.; Stanish, H.; Must, A. Intellectual disability is associated with increased risk for obesity in a nationally representative sample of U.S. children. Disabil. Health J. 2016, 9, 392–398. [Google Scholar] [CrossRef]
- Maltoni, G.; Zioutas, M.; Deiana, G.; Biserni, G.B.; Pession, A.; Zucchini, S. Gender differences in weight gain during lockdown due to COVID-19 pandemic in adolescents with obesity. Nutr. Metab. Cardiovasc. Dis. 2021, 31, 2181–2185. [Google Scholar] [CrossRef]
- Narici, M.; de Vito, G.; Franchi, M.; Paoli, A.; Moro, T.; Marcolin, G.; Grassi, B.; Baldassarre, G.; Zuccarelli, L.; Biolo, G.; et al. Impact of sedentarism due to the COVID-19 home confinement on neuromuscular, cardiovascular and metabolic health: Physiological and pathophysiological implications and recommendations for physical and nutritional countermeasures. Eur. J. Sport Sci. 2021, 21, 614–635. [Google Scholar] [CrossRef]
- Peterson, M.D.; Duchowny, K.; Meng, Q.; Wang, Y.; Chen, X.; Zhao, Y. Low Normalized Grip Strength is a Biomarker for Cardiometabolic Disease and Physical Disabilities Among U.S. and Chinese Adults. J. Gerontol. A Biol. Sci. Med. Sci. 2017, 72, 1525–1531. [Google Scholar] [CrossRef]
- Steffl, M.; Chrudimsky, J.; Tufano, J.J. Using relative handgrip strength to identify children at risk of sarcopenic obesity. PLoS ONE 2017, 12, e0177006. [Google Scholar] [CrossRef]
- Löfgren, B.; Daly, R.M.; Nilsson, J.Å.; Dencker, M.; Karlsson, M.K. An increase in school-based physical education increases muscle strength in children. Med. Sci. Sports Exerc. 2013, 45, 997–1003. [Google Scholar] [CrossRef] [PubMed]
- Farías-Valenzuela, C.; Cofré-Bolados, C.; Ferrari, G.; Espoz-Lazo, S.; Arenas-Sánchez, G.; Álvarez-Arangua, S.; Espinoza-Salinas, A.; Valdivia-Moral, P. Effects of Motor-Games-Based Concurrent Training Program on Body Composition Indicators of Chilean Adults with Down Syndrome. Sustainability 2021, 13, 5737. [Google Scholar] [CrossRef]
- Farías-Valenzuela, C.; Ferrero-Hernández, P.; Alvarez-Arangua, S.; Marchan-Gutiérrez, V. Fuerza absoluta y relativa de prensión manual y riesgo cardiometabólico en escolares chilenos: Análisis por sexo. J. Sport Health Res. 2021, 13 (Suppl. S1), 87–98. [Google Scholar]
- Andreu-Caravaca, L.; Ramos-Campo, D.J.; Chung, L.H.; Manonelles, P.; Abellán-Aynés, O.; Rubio-Arias, J.Á. The impact of COVID-19 home confinement on neuromuscular performance, functional capacity, and psychological state in Spanish people with Multiple Sclerosis. Mult. Scler. Relat. Disord. 2021, 53, 103047. [Google Scholar] [CrossRef] [PubMed]
- Barry, E.; Galvin, R.; Keogh, C.; Horgan, F.; Fahey, T. Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: A systematic review and meta-analysis. BMC Geriatr. 2014, 14, 14. [Google Scholar] [CrossRef] [PubMed]
- Lee, J.E.; Chun, H.; Kim, Y.; Jung, H.; Jang, I.; Cha, H.; Son, K.Y.; Cho, B.; Kwon, I.S.; Yoon, J.L. Association between Timed Up and Go Test and Subsequent Functional Dependency. J. Korean Med. Sci. 2020, 35, e25. [Google Scholar] [CrossRef] [PubMed]
Variables | Pre-Lockdown | Lockdown | ||||
---|---|---|---|---|---|---|
Total (n = 74) | Boys (n = 44) | Girls (n = 30) | Total (n = 58) | Boys (n = 37) | Girls (n = 21) | |
Age (years) | ||||||
Mean (SD) | 16.90 (3.44) | 16.02 (3.31) | 16.86 (3.20) | 17.60 (3.56) | 17.24(3.60) | 17.21 (3.48) |
Median (IQR) | 15.00 (14.00–19.00) | 15.00 (14.00–17.75) | 15.50 (14.75–20.00) | 17.00 (14.75–20.25) | 17.00 (14.00–20.00) | 17.00 (15.00–21.00) |
Weight (kg) | ||||||
Mean (SD) | 65.85 (19.64) | 61.22 (18.41) | 64.07 (17.12) | 70.28 (21.06) | 67.32 (18.24) | 75.50 (24.90) |
Median (IQR) | 59.45 (48.98–71.00) | 56.40 (48.22–69.75) | 62.25 (50.50–73.75) | 67.50 (52.75–84.95) | 66.00 (51.50–81.50) | 70.00 (56.50–96.50) |
Height (m) | ||||||
Mean (SD) | 1.59 (0.12) | 1.61 (0.12) | 1.50 (0.09) | 1.62 (0.11) | 1.66 (0.10) | 1.56 (0.11) |
Median (IQR) | 1.58 (1.46–1.64) | 1.63 (1.53–1.71) | 1.48 (1.44–1.58) | 1.65 (1.55–1.71) | 1.69 (1.57–1.73) | 1.59 (1.46–1.64) |
BMI (kg/m2) | ||||||
Mean (SD) | 26.14 (7.82) | 23.50 (6.54) | 28.59 (7.25) | 26.88 (8.52) | 24.36 (6.01) | 31.33 (10.44) |
Median (IQR) | 23.77 (20.17–29.37) | 21.67 (18.14–26.45) | 27.48 (23.19–31.53) | 25.68 (21.11–32.27) | 23.67 (19.71–27.73) | 29.03 (24.09–38.17) |
WC (cm) | ||||||
Mean (SD) | 84.51 (18.02) | 80.66 (14.98) | 91.30 (21.11) | 86.17 (17.05) | 84.44 (15.00) | 91.90 (17.25) |
Median (IQR) | 83.9 (71.37–93.42) | 80.00 (70.50–91.75) | 89.00 (79.75–103.50) | 83.50 (76.38–98.25) | 80.00 (74.00–93.75) | 89.50 (76.87–103.00) |
WHtR | ||||||
Mean (SD) | 0.52 (0.12) | 0.49 (0.09) | 0.59 (0.15) | 0.55 (0.12) | 0.53 (0.09) | 0.62 (0.12) |
Median (IQR) | 0.51 (0.43–0.57) | 0.49 (0.42–0.55) | 0.56 (0.50–0.66) | 0.53 (0.48–0.64) | 0.49 (0.45–0.58) | 0.59 (0.52–0.65) |
AR-HGS (kg) | ||||||
Mean (SD) | 26.91 (12.19) | 30.55 (11.72) | 20.50 (10.43) | 21.75 (11.37) | 21.24 (8.33) | 12.51 (6.87) |
Median (IQR) | 27.25 (16.37–36.12) | 31.50 (21.25–40.25) | 20.50 (11.00–31.50) | 18.25 (11.38–23.68) | 22.35 (15.12–26.00) | 12.55 (5.50–19.62) |
AL-HGS (kg) | ||||||
Mean (SD) | 26.22 (11.86) | 30.14 (11.35) | 19.31 (9.51) | 20.60 (11.10) | 19.66 (7.53) | 11.15 (6.24) |
Median (IQR) | 25.75 (16.37–34.50) | 29.50 (22.00–39.00) | 18.00 (10.50–27.00) | 16.95 (10.00–21.85) | 19.00 (14.00–23.75) | 10.75 (4.87–16.50) |
RR-HGS | ||||||
Mean (SD) | 0.40 (0.20) | 0.47 (0.19) | 0.29 (0.15) | 0.34 (0.18) | 0.36 (0.14) | 0.20 (0.11) |
Median (IQR) | 0.35 (0.24–0.55) | 0.47 (0.32–0.60) | 0.25 (0.17–0.38) | 0.26 (0.21–0.40) | 0.34 (0.23–0.44) | 0.21 (0.09–0.25) |
RL-HGS | ||||||
Mean (SD) | 0.40 (0.20) | 0.46 (0.19) | 0.28 (0.16) | 0.32 (0.18) | 0.33 (0.12) | 0.17 (0.09) |
Median (IQR) | 0.36 (0.24–0.50) | 0.46 (0.31–0.56) | 0.24 (0.17–0.36) | 0.26 (0.17–0.36) | 0.31 (0.33–0.44) | 0.17 (0.07–0.25) |
CMJ (cm) | ||||||
Mean (SD) | 14.08 (6.73) | 16.71 (6.08) | 10.20 (4.26) | 14.09 (7.33) | 16.64 (6.44) | 9.59 (6.71) |
Median (IQR) | 13.52 (9.04–18.65) | 17.20 (12.47–21.54) | 10.55 (7.48–13.30) | 13.32 (8.12–19.90) | 15.86 (11.79–21.52) | 8.20 (3.78–15.79) |
TUG (s) | ||||||
Mean (SD) | 6.12 (1.88) | 6.06 (1.90) | 6.21 (1.90) | 6.90 (2.12) | 6.99 (2.03) | 8.28 (2.02) |
Median (IQR) | 5.45 (4.69–7.32) | 5.40 (4.69–7.17) | 5.51 (4.59–7.52) | 7.59 (6.29–8.97) | 7.09 (5.02–8.16) | 8.39 (6.62–9.67) |
5STS (s) | ||||||
Mean (SD) | 9.69 (2.63) | 9.27 (3.29) | 10.46 (2.35) | 9.61 (2.64) | 9.44 (2.58) | 9.91 (2.79) |
Median (IQR) | 9.00 (7.41–11.07) | 8.48 (7.04–10.41) | 10.86 (8.49–11.58) | 9.13 (7.58–11.49) | 8.97 (7.53–11.45) | 9.59 (8.16–11.57) |
Agility 4 × 10 m (s) | ||||||
Mean (SD) | 17.82 (4.76) | 16.81 (3.96) | 19.60 (5.59) | 18.57 (4.73) | 17.74 (4.25) | 21.26 (4.50) |
Median (IQR) | 16.68 (14.13–19.51) | 16.71 (13.83–18.82) | 16.76 (15.75–24.20) | 18.50 (16.25–21.33) | 17.31 (14.96–19.87) | 19.99 (18.50–22.86) |
ARS (m/s) | ||||||
Mean (SD) | 2.38 (0.53) | 2.49 (0.50) | 2.18 (0.53) | 2.28 (0.52) | 2.37 (0.52) | 1.95 (0.33) |
Median (IQR) | 2.39 (2.04–2.82) | 2.39 (2.12–2.89) | 2.40 (1.65–2.53) | 2.16 (1.88–2.46) | 2.31 (2.01–2.67) | 2.00 (1.74–2.16) |
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Farías-Valenzuela, C.; Ferrari, G.; Espoz-Lazo, S.; Ferrero-Hernández, P.; Jofré-Saldia, E.; Álvarez-Arangua, S.; Poblete-Aro, C.; Godoy-Cumillaf, A.; Cofre-Bolados, C.; Valdivia-Moral, P. Anthropometric Indicators of the Cardiometabolic Risk, Muscle Strength, and Functional Capacity of Schoolchildren with Intellectual Disabilities during Lockdown in Chile. Children 2022, 9, 1315. https://doi.org/10.3390/children9091315
Farías-Valenzuela C, Ferrari G, Espoz-Lazo S, Ferrero-Hernández P, Jofré-Saldia E, Álvarez-Arangua S, Poblete-Aro C, Godoy-Cumillaf A, Cofre-Bolados C, Valdivia-Moral P. Anthropometric Indicators of the Cardiometabolic Risk, Muscle Strength, and Functional Capacity of Schoolchildren with Intellectual Disabilities during Lockdown in Chile. Children. 2022; 9(9):1315. https://doi.org/10.3390/children9091315
Chicago/Turabian StyleFarías-Valenzuela, Claudio, Gerson Ferrari, Sebastián Espoz-Lazo, Paloma Ferrero-Hernández, Emilio Jofré-Saldia, Sebastián Álvarez-Arangua, Carlos Poblete-Aro, Andrés Godoy-Cumillaf, Cristian Cofre-Bolados, and Pedro Valdivia-Moral. 2022. "Anthropometric Indicators of the Cardiometabolic Risk, Muscle Strength, and Functional Capacity of Schoolchildren with Intellectual Disabilities during Lockdown in Chile" Children 9, no. 9: 1315. https://doi.org/10.3390/children9091315