Abstract
Introduction: Obesity is a public health problem that has been increasing in the young population. The health-promoting behavior that prevents it is obesity risk control, which is part of the nursing taxonomy outcomes; however, it does not have any reliability or validity precedents. Objective: To evaluate the psychometric properties of reliability, exploratory and confirmatory factor analysis of the Obesity Risk Control scale in young Mexicans. Methodology: Correlational cross-sectional descriptive study. It included 167 young people with normal weight and overweight enrolled in a public university in Mexico, using non-probabilistic sampling. Young people who were not available due to illness, disability or temporary academic leave were excluded. Sociodemographic data card, Family Affluence Scale questionnaire and Obesity Risk Control scale were used. The research adhered to Mexican ethical and legal principles. Reliability was estimated with Cronbach's α coefficient and construct validity with exploratory and confirmatory factor analysis. Results: The average age of the participants was 19 years, overweight was predominant and young people sometimes showed control of the risk of obesity. Reliability was α = .927. The Obesity Risk Control scale consisted of two factors and 16 items, with explained variance of 56.2%. Conclusions: The Obesity Risk Control scale is reliable and valid to be employed in young Mexicans; however, it is suggested to review the content validity and criterion validity in the described population.
References
Organización Mundial de la Salud. Obesidad y sobrepeso: Datos y cifras [Internet]. Ginebra: OMS; 2021 [citado 30 jun 2022]. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/obesity-and-overweight
Organización Mundial de la Salud. BMI-for-age (5-19 years). Tools and tolkits [Internet]. Ginebra: OMS; 2020 [citado 20 nov 2020]. Disponible en: https://www.who.int/tools/growth-reference-data-for-5to19-years/indicators/bmi-for-age
Jaacks LM, Vandevijvere S, Pan A, McGowan CJ, Wallace C, Imamura F, et al. The obesity transition: stages of the global epidemic. Lancet Diabetes Endocrinol [Internet]. 2019 [citado 24 ene 2022];7(3):231–240. Disponible en: https://doi.org/10.1016/S2213-8587(19)30026-9
Organización de las Naciones Unidas. Juventud. Desafíos globales [Internet]. Nueva York, Estados Unidos; 2021 [citado 31 may 2021]. Disponible en: https://www.un.org/es/global-issues/youth
Shamah-Levy T, Rivera-Dommarco J, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, et al. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19: Resultados nacionales [Internet]. México: Secretaria de Salud; 2021 [citado 24 ene 2022]. Disponible en: https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf
Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis. Obes Rev [Internet]. 2016. [citado 30 may 2021];17:95–107. Disponible en: https://doi.org/10.1111/obr.12334
Gadde KM, Martin CK, Berthoud HR, Heymsfield SB. Obesity: Pathophysiology and Management. J Am Coll Cardiol [Internet]. 2018 [citado 20 nov 2020];71(1):69–84. Disponible en: https://doi.org/10.1016/j.jacc.2017.11.011
Voskuil V, Robbins LB, Pierce SJ. Predicting physical activity among urban adolescent girls: A test of the health promotion model. Res Nurs Heal [Internet]. 2019 [citado 20 feb 2020];42(5):1–18. Disponible en: https://doi.org/10.1002/nur.21968
Błaszczyk-Bebenek E, Piórecka B, Płonka M, Chmiel I, Jagielski P, Tuleja K, et al. Risk factors and prevalence of abdominal obesity among upper-secondary students. Int J Environ Res Public Heal [Internet]. 2019 [citado 20 dic 2020];16:1750-1762. Disponible en: https://doi.org/10.3390/ijerph16101750
Blackburn KG, Yilmaz G, Boyd RL. Food for thought: Exploring how people think and talk about food online. Appetite [Internet]. 2018 [citado 20 nov 2021];123:390–401. Disponible en: https://doi.org/10.1016/j.appet.2018.01.022
Avsar G, Ham R, Tannous W. Factors influencing the incidence of obesity in Australia: A generalized ordered probit model. Int J Environ Res Public Health [Internet]. 2017 [citado 03 feb 2020];14(2):177–189. Disponible en: https://doi.org/10.3390/ijerph14020177
Craven MR, Keefer L, Rademaker A, Dykema-Engblade A, Sanchez-Johnsen L. Social support for exercise as a predictor of weight and physical activity status among puerto rican and mexican men: Results from the latino men’s health initiative. Am J Mens Health [Internet]. 2018 [citado 20 nov 2021];12(4):766–778. Disponible en: https://doi.org/10.1177/1557988318754915
Gill M, Chan-Golston A, Rice L, Roth S, Crespi K, Cole B, et al. Correlates of social support and its association with physical activity among young adolescents. Heal Educ Behav [Internet]. 2018 [citado 11 dic 2020];45(2):207–216. Disponible en: https://doi.org/10.1177/1090198117714826
Pender N, Murdaugh C, Parsons M. Individual models to promote health behavior. En: Health promotion in nursing practice. 8a ed. United States of America: Pearson; 2018. p. 40–45.
Moorhead S, Swanson E, Johnson M, Mass M. Control del riesgo de obesidad. En: Clasificación de resultados de enfermería. 6a ed. España: Elsevier; 2018. p. 297.
Moreno C, Ramos P, Rivera F, Jiménez-Iglesias A, García-Moya I, Sánchez-Queija I, et al. Informe técnico de los resultados obtenidos por el estudio Health Behaviour in School-aged Children (HBSC) 2018 en Andalucía. Observatorio de la infancia y adolescencia de Andalucia [Internet]. España: Ministerio de Sanidad; 2021 [citado 02 may 2021]. Disponible en: https://www.observatoriodelainfancia.es/oia/esp/documentos_ficha.aspx?id=7404
Walker SN, Sechrist KR, Pender NJ. Cuestionario estilos de vida II. Deep blue documents [Internet]. Estados Unidos: University of Michigan; 1995 [citado 31 ene 2022]. Disponible en: https://deepblue.lib.umich.edu/bitstream/handle/2027.42/85349/HPLP_II-Spanish_Version.pdf?sequence=4&isAllowed=y
Lugli Z, Arzolar M, Vivas E. Construcción y validación del inventario de autorregulación del peso: validación preliminar. Psicol y salud [Internet]. 2009 [citado 04 abr 2021];19(2):281–287. Disponible en: https://psicologiaysalud.uv.mx/index.php/psicysalud/article/view/638/1114
Organización Mundial de la Salud. Cuestionario mundial sobre actividad física [Internet]. Ginebra: Organización Mundial de la Salud; 2022 [citado 31 ene 2022]. Disponible en: https://www.who.int/es/publications/m/item/global-physical-activity-questionnaire
Polit DF, Tatano BC. Mesurement and data quality. En: Nursing research: generating and assessing evidence for nursing practice. 11a ed. China: Wolters Kluwer; 2021. p. 320–321.
Timothy ZK. Analyzing path models using SEM programs. En: Multiple regression and beyond: An introduction to multiple regression and structural equation modeling. 3rd ed. New York: Pearson; 2015. p. 295–300.
Polit DF, Tatano BC. Quantitative research design. En: Nursing research: generating and assessing evidence for nursing practice. 10th ed. China: Wolters Kluwer; 2017. p. 272–317.
Waltz CF, Strickland OL, Lenz ER. Validity of measures. En: Measurement in nursing and health research. 4th ed. United States of America: Bang Printing; 2010. p. 163–203.
Díaz-García J, González-Zapata LI, Estrada- Restrepo A. Comparación entre variables antropométricas auto reportadas y mediciones reales. Arch Latinoam Nutr [Internet]. 2012 [citado 17 feb 2022];62(2):112–118. Disponible en: https://www.alanrevista.org/ediciones/2012/2/art-3/
Osuna-Ramírez I, Hernández-Prado B, Campuzano JC, Salmerón J. Índice de masa corporal y percepción de la imagen corporal en una población adulta mexicana: la precisión del autorreporte. Salud Publica Mex [Internet]. 2006 [citado 17 feb 2022];48(2):94–103. Disponible en: http://www.scielo.org.mx/pdf/spm/v48n2/29722.pdf
Chzhen Y, Moor I, Pickett W, Toczydlowska E, Stevens G. Family affluence and inequality in adolescent health and life satisfaction: Evidence from the HBSC study 2002-2014. Innocenti Work Pap [Internet]. Nueva York, Estados Unidos: UNICEF; 2016 [citado 31 ene 2022]. Disponible en: https://www.unicef-irc.org/publications/pdf/IWP_2016_10.pdf
Cámara de diputados del H. Congreso de la Unión. Reglamento de la de la Ley General de Salud en Materia de Investigación para la Salud [Internet]. México: Cámara de diputados del H. Congreso de la Unión; 2014 [citado 10 jun 2020]. Disponible en: http://www.salud.gob.mx/unidades/cdi/nom/compi/rlgsmis.html
Castilla SL. Estadística descriptiva. En: Manual práctico de estadística para las ciencias de la salud. México: Trillas; 2011. p. 25-39.
Hair J, Black W, Babin B, Anderson R. Multiple regression analysis. In: Multivariate data analysis. 7th ed. United Kingdom: Pearson; 2010. p. 152–231.
Khan SR, Uddin R, Mandic S, Khan A. Parental and peer support are associated with physical activity in adolescents: Evidence from 74 countries. International Journal of Environmental Research and Public Health [Internet]. 2020 [citado 11 dic 2020];17(12):1-11. Disponible en: https://doi.org/10.3390/ijerph17124435
Instituto Nacional de Salud Pública. Encuesta Nacional de Salud y Nutrición 2021 sobre COVID-19 [Internet]. México: Instituto Nacional de Salud Pública; 2021 [citado 13 ene 2023]. Disponible en: https://ensanut.insp.mx/encuestas/ensanutcontinua2021/doctos/informes/220804_Ensa21_digital_4ago.pdf
Guevara RM, Urchaga JD, Sanchez ME. Horas de pantalla y actividad física de los estudiantes de educación secundaria. European Journal of Health Research [Internet]. 2019 [citado 13 ene 2023];5(2):133-143. Disponible en: https://doi.org/10.30552/ejhr.v5i2.184
De León Cid M, Lazalde RB, Méndez MR, Reyes EC, López JA, Gutiérrez HR. Alimentación y ejercicio físico en la pandemia por SARS-COV-2. Ciencia, Nutrición, Terapéutica y Bioética [Internet]. 2022 [citado 13 ene 2023];2:13-24. Disponible en: https://revistas.uaz.edu.mx/index.php/cinteb/article/view/1477/1216
Guevera RM, Urchaga JD, García E, Tarraga PJ, Moral JE. Valoración de los hábitos de alimentación en educación secundaria en la ciudad de Salamanca. Análisis según sexo y curso. Nutr. clín. diet. Hosp [Internet]. 2020 [citado 20 feb 2020];40(1):40-48. Disponible en: https://doi.org/10.12873/401guevara
Shamah-Levy T, Vielma-Orozco E, Heredia-Hernández O, Romero-Martínez M, Mojica-Cuevas J, Cuevas-Nasu L, et al. Encuesta Nacional de Salud y Nutrición 2018-19: Resultados nacionales [Internet]. México: INSP; 2020 [citado 11 jul 2020]. Disponible en: https://www.insp.mx/produccion-editorial/novedades-editoriales/ensanut-2018-nacionales
Martínez-Uribe P, Cassaretto-Bardales M. Validación del inventario de los cinco factores NEO-FFI en español en estudiantes universitarios peruanos. Revista Mexicana de Psicologia [Internet]. 2011 [citado 19 feb 2023];28(1):63–74. Disponible en: https://www.redalyc.org/pdf/2430/243029630006.pdf
Allen MS, Robson DA, Laborde S. Normal variations in personality predict eating behavior, oral health, and partial syndrome bulimia nervosa in adolescent girls. Food Science and Nutrition [Internet]. 2020 [citado 19 feb 2023];8(3):1423-1432. Disponible en: https://doi.org/10.1002/fsn3.1425
Yañez AM, Bennasar-Veny M, Leiva A, García-Toro, M. Implications of personality and parental education on healthy lifestyles among adolescents. Scientific Reports [Internet]. 2020 [citado 19 feb 2023];10(1):1-10.Disponible en: https://doi.org/10.1038/s41598-020-64850-3
Bui C, Lin LY, Wu CY, Chiu YW, Chiou HY. Association between emotional eating and frequency of unhealthy food consumption among taiwanese adolescents. Nutrients [Internet]. 2021 [citado 19 feb 2023];13(8):1-15. Disponible en: https://doi.org/10.3390/nu13082739
Larisa CM, Oliveira CM, Candido de Souza MF, Goes da Silva D, dos Santos Vieira DA, Mendes-Netto RS. Is physical activity protective against emotional eating associated factors during the covid-19 pandemic? A cross-sectional study among physically active and inactive adults. Nutrients [Internet]. 2021 [citado 19 feb 2023];13(11):1-15. Disponible en: https://doi.org/10.3390/nu13113861
Townshend T, Lake A. Obesogenic environments: current evidence of the built and food environments. Perspect Public Health [Internet]. 2017 [citado 18 feb 2020];137(1):38–44. Disponible en: https://doi.org/10.1177/1757913916679860
Park AH, Zhong S, Haoyue Y, Jeong J, Lee C. Impact of COVID-19 on physical activity: A rapid review. Journal of Global Health [Internet]. 2022 [citado 19 feb 2023];12:1-13. Disponible en: https://doi.org/10.7189/JOGH.12.05003
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