Psychometric review of the Self-regulation scale of eating habits in Mexican adults: Is a short version feasible?
Abstract
Introduction: According to official records, 75.0% of Mexican women and 69.6% of Mexican men are obese or overweight, conditions that can develop chronic diseases. In that sense, habits are determinate factors for this prevalence, among those that significantly influence health are eating habits. Therefore, the aim of this work was to analyze the psychometric properties of the Self-Regulation Scale of Eating Habits to obtain a brief version.
Materials and methods: An instrumental study was carried out with 442 Mexican adults (60% women; Mage= 32.486 years). In addition to the Self-Regulation of Eating Habits Scale, a sociodemographic data sheet was included. The evidence of validity was analyzed with an analytical-factorial approach by an exploratory structural equation modeling (ESEM); as well reliability was estimated at the level of scores (alpha coefficient) and construct (omega coefficient).
Results: The scale responds to an essentially one-dimensional structure, a short version of 8 items was obtained, which showed an adequate adjustment index, high factor loads, excellent reliability, and being invariant between men and women.
Conclusions: The Self-Regulation of Eating Habits Scale presents a solid one-dimensional structure; its adequate reliability allows it’s to use at the level of basic and applied research. Also evaluates self-regulation in men and women in an equivalent way.
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References
Braverman-Bronstein A, Camacho-García-Formentí D, Zepeda-Tello R, Cudhea F, Singh GM, Mozaffarian D, et al. Mortality attributable to sugar sweetened beverages consumption in Mexico: an update. Int J Obes. 2020 Jun;44(6):1341-9. https://doi.org/10.1038/s41366-019-0506-x.
Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, et al. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. México: Instituto Nacional de Salud Pública, 2022. Disponible en https://ensanut.insp.mx/encuestas/ensanutcontinua2021/doctos/informes/220804_Ensa21_digital_4ago.pdf
Huang Y, Chen Z, Chen B, Li J, Yuan X, Li J, et al. Dietary sugar consumption and health: umbrella review. BMJ. 2023 Apr; 7(1): 1-18. https://doi.org/10.1136/bmj-2022-071609
Bandura A. The Primacy of Self‐Regulation in Health Promotion. Appl Psychol. 2005 Mar; 54(1): 245-54. https://doi.org/10.1111/j.1464-0597.2005.00208.x
Campos-Uscanga Y, Lagunes-Córdoba R, Morales-Romero J, Romo-González T. Diseño y validación de una escala para valorar la autorregulación de hábitos alimentarios en estudiantes universitarios mexicanos. ALAN. 2015 Jan; 65(1): 44-50. Disponible en https://ve.scielo.org/scielo.php?script=sci_arttext&pid=S0004-06222015000100006&lng=es&nrm=iso&tlng=es
Alemán-Castillo SE, Perales-Torres AL, González-Pérez AL, et al. Intervención para modificar hábitos alimentarios en los refrigerios de escolares de una ciudad fronteriza México / Estados Unidos. Glob Health Promot. 2022 Sept;29(3):178-187. https://doi.org/10.1177/17579759211062134
Guzek D, Skolmowska D, Głąbska D. Analysis of Self-Regulation of Eating Behaviors within Polish Adolescents’ COVID-19 Experience (PLACE-19) Study. Nutr. 2022 Apr;14(8): 29-37. https://doi.org/10.3390/nu14081679
Diotaiuti P, Girelli L, Mancone S, Valente G, Bellizzi F, Misiti F, Cavicchiolo E. Psychometric properties, and measurement invariance across gender of the Italian version of the tempest self-regulation questionnaire for eating adapted for young adults. Front Psychol. 2022 Aug; 18(13):784-941. https://doi.org/10.3389/fpsyg.2022.941784
Al-Hazmi MH, Noorwali EA. Morning individuals in Saudi Arabia have higher self-regulation of eating behavior compared to evening types. Chron Inter. 2023 Mar;40(3):223–233. https://doi.org/10.1080/07420528.2022.2158846
Kliemann N, Beeken RJ, Wardle J, Johnson F. Development and validation of the Self-Regulation of Eating Behaviour Questionnaire for adults. Int J Behav Nutr Phys Act. 2016 Dec;13(1):1-11 https://doi.org/10.1186/s12966-016-0414-6
De Vet E, De Ridder D, Stok, M, Brunso K, Baban A, Gaspar T. Assessing self-regulation strategies: development and validation of the tempest self-regulation questionnaire for eating (TESQ-E) in adolescents. Int J Behav Nutr Phys Act. 2014 Dec;11(1):1-15. https://doi.org/10.1186/s12966-014-0106-z
Monnery-Patris S, Rigal N, Peteuil A, Chabanet C, Issanchou S. Development of a new questionnaire to assess the links between children’s self-regulation of eating and related parental feeding practices. Appetite. 2019 Jul;1(138):174–183. https://doi.org/10.1016/j.appet.2019.03.029
Neubeck M, Johann VE, Karbach J, Könen T. Age-differences in network models of self-regulation and executive control functions. Developmental Science. 2022 Sep; 25(5):1-13. https://doi.org/10.1111/desc.13276
Lloret-Segura S, Ferreres-Traver A, Hernández-Baeza A, Tomás-Marco I. El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. An Psicol. 2014 Oct;30(3):1151-1169. https://doi.org/10.6018/analesps.30.3.199361
Jaramillo JM, Rendón MI, Muñoz L, Weis M and Trommsdorff G. Children’s Self-Regulation in Cultural Contexts: The Role of Parental Socialization Theories, Goals, and Practices. Front. Psychol. 2017 Jun;8:(923). https://doi.org/10.3389/fpsyg.2017.00923
Kaiser H. The application of electronic computers to factor analysis. Edu Psychol Meas. 1960. 20:141-151. https://doi.org/10.1177/001316446002000116
Ferrando P. Anguiano-Carrasco C. El análisis factorial como técnica de investigación en psicología. Papeles Psicol. 2010 Apr;31(1): 18-33. Disponible en https://www.redalyc.org/articulo.oa?id=77812441003
Asparouhov T, Muthen B. Exploratory structural equation modeling. Struct Equ Modeling. 2009 Jul;16(3):397–438. https://doi.org/10.1080/10705510903008204
Gonzalez-Sifuentes D-M, Camacho-Vega D-O Relationship Between Self-Regulated Eating Behaviour and eHealth Literacy. A Confirmatory Factorial Analysis. En: Marinescu V, editor. Food, Nutrition and the Media. Cham: Springer International Publishing; 2020. p. 313-8. https://doi.org/10.1007/978-3-030-46500-1_22
Campos-Uscanga Y, Gutiérrez-Ospina G, Morales-Romero J. et al. Self-regulation of eating and physical activity is lower in obese female college students as compared to their normal weight counterparts. Eat Weight Disord. 2017; 22, 311–319. https://doi.org/10.1007/s40519-016-0338-9
Domínguez-Lara S, Zavaleta-Abad R, Campos-Uscanga Y, del Moral-Trinidad LE. Nuevo análisis psicométrico de la Escala de Autorregulación de la Actividad Física en universitarios mexicanos: Estructura interna y versión breve. Retos. 2022; 45, 897-907. https://doi.org/10.47197/retos.v45i0.93239
del Moral-Trinidad LE, Romo-González T, Carmona-Figueroa, YP, Barranca-Enríquez A et al. Potential for body mass index as a tool to estimate body fat in young people. Enfer Clin. 2021; 31(2), 99-106. https://doi.org/10.1016/j.enfcle.2020.06.004
Campos-Uscanga Y, Romo-González T, del Moral-Trinidad LE, Carmona-Hernández, NI. Obesidad Y Autorregulación De La Actividad Física Y La Alimentación En Estudiantes Universitarios: Un Estudio Longitudinal. MHSalud. 2017 Jun; 14(1). https://doi.org/10.15359/mhs.14-1.4
Cabezas MF, Nazar G. Asociación entre autorregulación alimentaria, dieta, estado nutricional y bienestar subjetivo en adultos en Chile. Ter Psicol. 2022 Apr; 40(1), 1-21. https://doi.org/10.4067/s0718-48082022000100001
Teixeira PJ, Carraça EV, Marques MM, Rutter H, Oppert J, De Bourdeaudhuij I, et al. Successful behavior change in obesity interventions in adults: a systematic review of self-regulation mediators. BMC Medicine. 2015 Dec;13, (84):1-16. https://doi.org/10.1186/s12916-015-0323-6
Muthén LK, Muthén BO. Mplus User’s Guide. Sixth Edition. Los Angeles, CA: Muthén & Muthén. 2015
Dominguez-Lara S, Merino-Soto C. Estimación de la magnitud del efecto en invarianza de medición. Aval Psicol. 2019 Aug;18(3):328-332. https://doi.org/10.15689/ap.2019.1803.16248.13
McDonald RP, Ho MHR. Principles and practice in reporting structural equation analyses. Psychol. Methods. 2002 Mar;7(1):64–82. https://doi.org/10.1037/1082-989X.7.1.64
Browne MW, Cudeck R. Alternative ways of assessing model fit. In Bollen KA, Long, SJ. (Eds.), Testing structural equation models: Sage. 1993;445–455.
Granero-Gallegos A, Martín-Albo Lucas J, Sicilia Á, Medina-Casaubón J, Alcaraz-Ibáñez M. Análisis de los estereotipos socioculturales hacia cuerpo delgado y cuerpo musculoso: diferencias en función del sexo y discrepancia con el peso. Rev. Psicodidáctica. 2018 Jan;23(1):26-32. https://doi.org/10.1016/j.psicod.2017.02.002
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