Diabetes-Prev Scale: validation of preventive measures for type 2 diabetes in inhabitants of Cajamarca, validation design
DOI:
https://doi.org/10.15649/cuidarte.3797Keywords:
Diabetes Mellitus, Type 2, Disease Prevention, Life Style, Health Risk Behaviors, Risk GroupsAbstract
Highlights
- Type 2 diabetes is the most common form of diabetes and requires effective preventive interventions.
- The Diabetes-Prev Scale is the first documentary instrument aimed exclusively at assessing diabetes preventive measures in the population.
- Identifying risk factors and unhealthy lifestyles in the population allows for targeted preventive action.
- Youth is the most appropriate age for planning preventive promotional activities, since health behaviors are consolidated or modified during this stage.
Introduction: Preventive measures effectively reduce the prevalence of diabetes; therefore, having valid instruments to assess them is a priority. Objective: To validate the content, construct, and reliability of the Diabetes-Prev Scale in the prevention of type 2 diabetes in the population of the Cajamarca region, Peru. Materials and Methods: Descriptive study with validation design. The scale was developed based on the recommendations of the American Diabetes Association and consists of 36 items validated by eight health and nutrition professionals. A survey pilot test was conducted with 385 adults living in the 13 provinces of Cajamarca. Construct validity was assessed using exploratory factor analysis and reliability using McDonald's ω. Results: The scale comprised 33 items divided into five dimensions: consumption of alcoholic beverages and cigarettes (11 items), harmful dietary and physical habits (6 items), beneficial eating and sleeping habits (5 items), food additives and body weight (6 items), and physical activity and hydration (5 items). Factor loadings were greater than 0.30, and the cumulative variance was 43.66%. The overall scale achieved a reliability of 0.88, making it an adequate and necessary instrument for assessing preventive measures for diabetes in the population. Discussion: The psychometric properties of instruments that assess various diabetes topics using equivalent statistical tests are also appropriate. Conclusions: The Diabetes-Prev Scale is a contextualized instrument for the three geographic regions of Peru, offering clear textual and content comprehension with a simple and brief application suitable for diverse populations.
How to cite this article: Linares-Vásquez Orlando, Díaz-Dávila Yonathan Yoel, Asenjo-Alarcón José Ander. Diabetes-Prev Scale: Validation of preventive measures for type 2 diabetes in inhabitants of Cajamarca, validation design. Revista Cuidarte. 2024;15(3):e3797. https://doi.org/10.15649/cuidarte.3797
References
GBD 2021 Diabetes Collaborators. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2023;402(10397):203-234. https://doi.org/10.1016/S0140-6736(23)01301-6
Riise HKR, Graue M, Igland J, Birkeland KI, Kolltveit BH. Prevalence of increased risk of type 2 diabetes in general practice: a cross-sectional study in Norway. BMC Prim Care. 2023;24(1):151. https://doi.org/10.1186/s12875-023-02100-x
Liu J, Wang L, Cui X, Shen Q, Wu D, Yang M, et al. Polygenic Risk Score, Lifestyles, and Type 2 Diabetes Risk: A Prospective Chinese Cohort Study. Nutrients. 2023;15(9):2144. https://doi.org/10.3390/nu15092144
Almutairi OM, Alhomaid TA, Alshuaibi AM, Ahmad Alahmad RM, Al Mardhamah NH, Alamri T. The Influence of Eating Habits on Type 2 Diabetes in Saudi Arabia: A Systematic Review. Cureus. 2023;15(7):e42638. https://doi.org/10.7759/cureus.42638
Yuan S, Li X, Liu Q, Wang Z, Jiang X, Burgess S, et al. Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis. J Endocr Soc. 2023;7(8):bvad090.
Lu T, Nakanishi T, Yoshiji S, Butler-Laporte G, Greenwood CMT, Richards JB. Dose-dependent Association of Alcohol Consumption With Obesity and Type 2 Diabetes: Mendelian Randomization Analyses. J Clin Endocrinol Metab. 2023;108(12):3320-3329. https://doi.org/10.1210/clinem/dgad324
Titova OE, Baron JA, Fall T, Michaëlsson K, Larsson SC. Swedish Snuff (Snus), Cigarette Smoking, and Risk of Type 2 Diabetes. Am J Prev Med. 2023;65(1):60-66. https://doi.org/10.1016/j.amepre.2023.01.016
Dasantos A, Goddard C, Maynard DM, Ragoobirsingh D. Diabetes distress in a Barbadian population with type 2 diabetes: A pilot test. J Public Health Res. 2023;12(3). https://doi.org/10.1177/22799036231187006
Kerari A. The psychometric properties of the Diabetes Self-Efficacy Scale in Saudis with type 2 diabetes. Nurs Open. 2023;10(9):6408-6415. https://doi.org/10.1002/nop2.1890
Du J, Jiang Y, Lloyd C, Sartorius N, Ren J, Zhao W, et al. Validation of Chinese version of the 5-item WHO well-being index in type 2 diabetes mellitus patients. BMC Psychiatry. 2023;23(1):890. https://doi.org/10.1186/s12888-023-05381-9
Zuñiga JA, Huang YC, Bang SH, Cuevas H, Hutson T, Heitkemper EM, et al. Revision and Psychometric Evaluation of the Diabetes Knowledge Questionnaire for People With Type 2 Diabetes. Diabetes Spectr. 2023;36(4):345-353. https://doi.org/10.2337/ds22-0079
Maryem A, Younes I, Yassmine M, Morad G, Karima B, Amal K, et al. Translation, cultural adaptation and validation of the General Medication Adherence Scale (GMAS) in moroccan patients with type-2 diabetes. BMC Nurs. 2023;22(1):302. https://doi.org/10.1186/s12912-023-01457-9
Çevik Saldıran T, Kara İ, Dinçer E, Öztürk Ö, Çakıcı R, Burroughs T. Cross-cultural adaptation and validation of Diabetes Quality of Life Brief Clinical Inventory in Turkish patients with type 2 diabetes mellitus. Disabil Rehabil. 2023;1-10. https://doi.org/10.1080/09638288.2023.2182917
Henao-Carrillo DC, Sierra-Matamoros FA, Carrillo Algarra AJ, García-Lugo JP, Hernández-Zambrano SM. Validation of the hypoglycemia awareness questionnaire to assess hypoglycemia awareness in patients with type 2 diabetes treated with insulin. Diabetes Metab Syndr. 2023;17(12):102917. https://doi.org/10.1016/j.dsx.2023.102917
Carrillo-Larco RM, Bernabé-Ortiz A. Diabetes mellitus tipo 2 en Perú: una revisión sistemática sobre la prevalencia e incidencia en población general [Type 2 diabetes mellitus in peru: a systematic review of prevalence and incidence in the general population]. Rev Peru Med Exp Salud Publica. 2019;36(1):26-36. https://doi.org/10.17843/rpmesp.2019.361.4027
Gami A, Blumenthal RS, McGuire DK, Sarkar S, Kohli P. New Perspectives in Management of Cardiovascular Risk Among People With Diabetes. J Am Heart Assoc. 2024;13(12):e034053. https://doi.org/10.1161/JAHA.123.034053
Instituto Nacional de Estadística e Informática. Cajamarca Resultados definitivos. 2018. Consulta: Febrero 09 2024. Disponible en: https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1558/06TOMO_01.pdf
ElSayed NA, Aleppo G, Aroda VR, Bannuru RB, Brown FM, Bruemmer D et al. American Diabetes Association-Summary of revisions: standards of Care in Diabetes. Diabetes Care. 2023;46(1):S5-S9. https://doi.org/10.2337/dc23-Srev
Linares-Vásquez O, Díaz-Dávila YY, Asenjo-Alarcón JA. Matriz medidas preventivas DM2. Mendeley Data. 2024. https://doi.org/10.17632/cm8vnp7mts.1
Hunter RF, Gough A, O'Kane N, McKeown G, Fitzpatrick A, Walker T, et al. Ethical Issues in Social Media Research for Public Health. Am J Public Health. 2018;108(3):343-348. https://doi.org/10.2105/AJPH.2017.304249
Song J, Lin WQ. Association between alcohol consumption and incidence of type 2 diabetes mellitus in Japanese men: a secondary analysis of a Retrospective Cohort Study. BMC Endocr Disord. 2023;23(1):91. https://doi.org/10.1186/s12902-023-01350-1
Vander Weg MW, Howren MB, Grant KM, Prochazka AV, Duffy S, Burke R, et al. A smoking cessation intervention for rural veterans tailored to individual risk factors: A multicenter randomized clinical trial. J Subst Use Addict Treat. 2024;156:209191. https://doi.org/10.1016/j.josat.2023.209191
Chen Z, Khandpur N, Desjardins C, Wang L, Monteiro CA, Rossato SL, et al. Ultra-Processed Food Consumption and Risk of Type 2 Diabetes: Three Large Prospective U.S. Cohort Studies. Diabetes Care. 2023;46(7):1335-1344. https://doi.org/10.2337/dc22-1993
Woodside JV, Nugent AP, Moore RE, McKinley MC. Fruit and vegetable consumption as a preventative strategy for non-communicable diseases. Proc Nutr Soc. 2023;82(2):186-199. https://doi.org/10.1017/S0029665123002161
Debras C, Deschasaux-Tanguy M, Chazelas E, Sellem L, Druesne-Pecollo N, Esseddik Y, et al. Artificial Sweeteners and Risk of Type 2 Diabetes in the Prospective NutriNet-Santé Cohort. Diabetes Care. 2023;46(9):1681-1690. https://doi.org/10.2337/dc23-0206
Gomez-Delgado F, Torres-Peña JD, Gutierrez-Lara G, Romero-Cabrera JL, Perez-Martinez P. Artificial sweeteners and cardiovascular risk. Curr Opin Cardiol. 2023;38(4):344-351. https://doi.org/10.1097/HCO.0000000000001048
Di Murro E, Di Giuseppe G, Soldovieri L, Moffa S, Improta I, Capece U, et al. Physical Activity and Type 2 Diabetes: In Search of a Personalized Approach to Improving β-Cell Function. Nutrients. 2023;15(19):4202. https://doi.org/10.3390/nu15194202
Kirwan JP, Heintz EC, Rebello CJ, Axelrod CL. Exercise in the Prevention and Treatment of Type 2 Diabetes. Compr Physiol. 2023;13(1):4559-4585. https://doi.org/10.1002/cphy.c220009
Downloads
Published
How to Cite
Issue
Section
Categories
Altmetrics
Downloads
License
Copyright (c) 2024 Revista Cuidarte
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal Cuidarte, scientific publication of open access, is licensed under a Creative Commons Attribution (CC BY-NC), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Any other form of use such as reproduction, transformation, public communication or distribution, for profit, requires the prior authorization of the University of Santander UDES.
The names and e-mail addresses entered in the Journal Cuidarte will be used exclusively for the purposes stated by this magazine and will not be available for any other purpose or other person.
The articles published in the Journal Cuidarte represent the criteria of their authors and do not necessarily constitute the official opinion of the University of Santander UDES.
