Association between work stress and dietary variety and diversity scores in ELSA-Brasil baseline participants
Palabras clave:
Occupational stress, Diet, Food, and Nutrition, Work, Feeding behavior, IndexResumen
Objective
To analyze the association between work-related stress and dietary variety and diversity scores in ELSA-Brasil participants.
Methods
Cross-sectional study using data from ELSA-Brasil (2008-2010). Food frequency questionnaires were used to compile dietary variety and diversity scores. Psychological demand, work control and social support at work were assessed. Each dimension of the outcome variable was scored as the sum of all the items and categorized as adequate and inadequate, using the median (≥18) for variety and the highest number of items consumed (≥9) for diversity. For high psychological demand, high control and high social support, the medians were >14, >18 and >20, respectively. A logistic regression model was used, controlled for sociodemographic, lifestyle and health variables.
Results
Individuals with high demand had higher odds of inadequate diet variety compared to those with low demand (OR 1.05, CI: 0.96-1.14) and those with high control (OR 1.21, CI: 1.11-1.32) compared to those with low control, which was statistically significant.
Conclusion
The results show a positive and significant association between work control and diet variety.
Descargas
Citas
World Health Organization. World mental health report: transforming mental health for all. Geneva: World Health Organization; 2022 [cited 2022 Jan 10]. Available from: https://www.who.int/publications/i/item/9789240049338
Vasconcelos VD, Trentini CM. Avaliações psicossociais no trabalho no Brasil: Estudo de levantamento sobre variáveis, modelos teóricos, instrumentos e critérios adotados. RPOT. 2021;21(1):1355-66. doi: https://dx.doi.org/10.5935/rpot/2021.1.20373
Matos SMR, Ferreira JCS. Stress and eating behavior. RSD. 2021 [cited 2023 Aug 23];10(7):e26210716726. Available from: https://rsdjournal.org/index.php/rsd/article/view/16726
Freitas PP, Lopes MS, Assunção AÁ, Lopes ACS. Health and work in Brazil: physical and psychosocial demands. Cad Saúde Pública. 2021;37(9): e00129420. doi: https://doi.org/10.1590/0102-311X00129420
Souza MPG, Sampaio R, Cavalcante ACM, Arruda SPM, Pinto FJM. Comportamento alimentar e fatores associados em servidores: contribuições para a saúde coletiva. Rev Aten Saúde. 2020;18(63):99-109. doi: https://doi.org/10.13037/ras.vol18n63.6162
Burggraf C, Teuber R, Brosig S, Meier T. Review of a priori dietary quality indices in relation to their construction criteria. Nutr Rev. 2018;76(10):747-64. doi: https://doi.org/10.1093/nutrit/nuy027
Trijsburg L, Talsma EF, de Vries JHM, Kennedy G, Kuijsten A, Brouwer ID. Diet quality indices for research in low- and middle-income countries: a systematic review. Nutr Rev. 2019;77(8):515-40. doi: https://doi.org/10.1093/nutrit/nuz017
Román-Viñas B, Serra-Majem L, Ribas-Barba L, Ngo J, García-Alvarez A, Wijnhoven TM, et al. Overview of methods used to evaluate the adequacy of nutrient intakes for individuals and populations. Br J Nutr. 2009;101(Suppl 2): S6-S11. doi: https://doi.org/10.1017/S0007114509990535
Cowan AE, Jun S, Tooze JA, Dodd KW, Gahche JJ, Eicher-Miller HA, et al. A narrative review of nutrient based indexes to assess diet quality and the proposed total nutrient index that reflects total dietary exposures. Crit Rev Food Sci Nutr. 2023;63(12):1722-32. doi: https://doi.org/:10.1080/10408398.2021.19678
Penaforte F, Matta N, Japur C. Associação entre estresse e comportamento alimentar em estudantes universitários. Demetra. 2015;11(1):225-37. doi: https://doi.org/10.12957/demetra.2016.18592
Amano H, Fukuda Y, Baden MY, Kawachi I. Is work engagement associated with healthier dietary patterns? A cross-sectional study. J Occup Health. 2020;62(1):e12149. doi: https://doi.org/10.1002/1348-9585.12149
Schmidt Mi, Duncan BB, Mill JG, Lotufo PA, Chor D, Barreto SM, et al. Cohort Profile: Longitudinal Study of Adult Health – ELSA/BRASIL. Int J Epidemiol. 2015;44(1):68-75. doi: https://doi.org/10.1093/ije/dyu027
Danquah I, Galbete C, Meeks K, Nicolaou M, Klipstein-Grobusch K, Addo J, et al. Food variety, dietary diversity, and type 2 diabetes in a multi-center cross-sectional study among Ghanaian migrants in Europe and
their compatriots in Ghana: the RODAM study. Eur J Nutr. 2018;57(8):2723-33. doi: https://doi.org/10.1007/s00394-017-1538-4
Ministério da Saúde, Secretaria de Atenção à Saúde, Departamento de Atenção Básica (Brasil). Guia alimentar para a população brasileira. 2nd ed. Brasília: Ministério da Saúde; 2014 [cited 2022 Jan 18]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/guia_alimentar_populacao_brasileira_2ed.pdf
Gómez G, Fisberg RM, Nogueira Previdelli Á, Sales CH, Kovalskys I, Fisberg M, et al. Diet quality and diet diversity in eight Latin American Countries: results from the Latin American Study of Nutrition and Health (ELANS). Nutrients. 2019;11(7):1605. doi: https://doi.org/10.3390/nu11071605
Wang Z, Chen Y, Tang S, Chen S, Gong S, Jiang X, et al. Dietary Diversity and Nutrient Intake of Han and Dongxiang Smallholder Farmers in Poverty Areas of Northwest China. Nutrients. 2021;13(11):3908. doi: https://doi.org/10.3390/nu13113908
Alves MGM, Chor D, Faerstein E, Lopes CS, Werneck GL. Versão resumida da “job stress scale”: adaptação para o português [Short version of the “job stress scale”: a Portuguese-language adaptation]. Rev Saúde Pública. 2004;38(2):164-71. doi: https://doi.org/10.1590/s0034-89102004000200003
Alves MGM, Braga VM, Faerstein E, Lopes CS, Junger W. The demand-control model for job strain: a commentary on different ways to operationalize the exposure variable. Cad Saúde Pública. 2015;31(1):208-12. doi: https://doi:10.1590/0102-311x00080714
Portela LF, Griep RH, Landsbergis P, RotenbergL. Self-reported hypertension and job strain in nursing personnel: assessing two different formulations of demand-control model. Clin Nurs Stud. 2015;3(2):46-52. doi: https://doi.org/10.5430/cns.v3n2p46
Griep RH, Rotenberg L, Landsbergis P, Vasconcellos-Silva PR. Combined use of job stress models and self-rated health in nursing. Rev Saúde Pública. 2011;45(1):145-52. doi: http:https://doi:10.1590/s0034-89102011000100017
R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2022 [cited 2022 Mar 18]. Available from: https://www.R-project.org/
Hill D, Conner M, Clancy F, Moss R, Wilding S, Bristow M, et al. Stress and eating behaviours in healthy adults: a systematic review and meta-analysis. Health Psychol Rev. 2022;16(2):280-304. doi: https://doi.org/10.1080/17437199.2021.1923406
Pena Gralle APB, Barbosa Moreno A, Lopes Juvanhol L, Mendes da Fonseca MJ, Prates Melo EC, Antunes Nunes MA, et al. Job strain and binge eating among Brazilian workers participating in the ELSA-Brasil study: does BMI matter? J Occup Health. 2017;59(3):247-55. doi: https://doi.org/10.1539/joh.16-0157-OA
Monteiro Sampaio RM, Montenegro Cavalcante AC, Pinheiro Machado AS, Façanha BMLC, Pimentel GSM, Sampaio LAC. Estresse no trabalho e qualidade de vida associados aos padrões alimentares em servidores de uma universidade pública. Gest Cuid Saúde. 2023;1(2):e11144. doi: https://doi.org/10.70368/gecs.v1i2.11144
Rodrigues R, Birolim MM, de Andrade SM, González AD, Mesas CE, Fernández-Rodríguez R, et al. Job strain is prospectively associated with a lower frequency of fruit consumption in schoolteachers. Public Health Nutr. 2021;24(7):1678. doi: https://doi.org/10.1017/S1368980021000860
Cattafesta M, Zandonade E, Bissoli NS, Salaroli LB. Padrões alimentares de trabalhadores bancários e sua associação com fatores socioeconômicos, comportamentais e laborais. Ciênc Saúde Coletiva. 2019;24:3909-22. doi: https://doi.org/10.1590/1413-812320182410.31342017
Ferranti EP, Dunbar SB, Higgins M, Dai J, Ziegler TR, Frediani JK, et al. Psychosocial factors associated with diet quality in a working adult population. Res Nurs Health. 2013;36(3):242-56. doi: https://doi.org/10.1002/nur.21532
Zhou J, Wang H, Zou Z. Inverse association between dietary diversity score calculated from the diet quality questionnaire and psychological stress in chinese adults: a prospective study from China Health and Nutrition Survey. Nutrients. 2022;14(16):3297. doi: https://doi.org/10.3390/nu14163297
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2025 Beatriz Vidon Garcia Loureiro, Maria de Jesus Mendes Fonseca, Sandhi Maria Barreto, Sheila Maria Alvim, Rosane Harter Griep, Odaleia Barbosa Aguiar

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.






