Relationship Between Metabolic Syndrome and the Brazilian Workers’ Food Program in Male and Female Manufacturing Workers

References

• Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):12. doi:10.1007/s11906-018-0812-z
   PubMed Web of Science ®Google Scholar
• Sarang VD, Suborno N, Umesh LD. Metabolic syndrome in different sub occupations among mine workers. Indian J Occup Environ Med. 2015;19(2):76–79. doi:10.4103/0019-5278.165330
   PubMedGoogle Scholar
• Cho DY, Koo J. Differences in metabolic syndrome prevalence by employment type and sex. Int J Environ Res Public Health. 2018;15(9):1798. doi:10.3390/ijerph15091798
   PubMedGoogle Scholar
• Hidaka T, Hayakawa T, Kakamu T, et al. Prevalence of metabolic syndrome and its components among Japanese workers by clustered business category. PLoS One. 2016;11(4):1–11.
   Google Scholar
• Ministério da Economia. Secretaria de Trabalho. Portaria Interministerial no 66, de 25 de agosto de 2006. Available from: http://189.28.128.100/nutricao/docs/legislacao/portaria66_25_08_06.pdf. Accessed July 14, 2020.
   Google Scholar
• Veloso IS, Santana VS. Impacto nutricional do programa de alimentação do trabalhador no Brasil. Rev Panam Salud Publica. 2002;11(1):24–31. doi:10.1590/S1020-49892002000100004
   PubMedGoogle Scholar
• Sarno F, Bandoni DH, Jaime PC. Excesso de peso e hipertensão arterial em trabalhadores de empresas beneficiadas pelo Programa de Alimentação do Trabalhador (PAT). Rev Bras Epidemiol. 2008;11(3):453–462. doi:10.1590/S1415-790X2008000300012
   Google Scholar
• Bezerra IWL, Oliveira AG, Pinheiro LGB, Morais CMM, Sampaio LMB, Wieringa F. Evaluation of the nutritional status of workers of transformation industries adherent to the Brazilian workers’ food program. A comparative study. PLoS One. 2017;12(2):1–11. doi:10.1371/journal.pone.0171821
   Google Scholar
• Torres KG, Bezerra IWL, Pereira GS, Costa RM, Souza AM, Oliveira AG. Long-term effect of the Brazilian workers’ food program on the nutritional status of manufacturing workers: a population-based prospective cohort study. PLoS One. 2020;15(4):e0231216. doi:10.1371/journal.pone.0231216
   PubMedGoogle Scholar
• Ross R, Berentzen T, Bradshow AJ, et al. Does de relationship between waist circumference, morbidity and mortality depend on measurement protocol for waist circumference? Obesity Rev. 2008;9:312–325. doi:10.1111/j.1467-789X.2007.00411.x
   PubMed Web of Science ®Google Scholar
• Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ) – short and long forms; 2005. Available from: http://www.ipaq.ki.se. Accessed March 20, 2020.
   Google Scholar
• Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640–1645.
   PubMed Web of Science ®Google Scholar
• Alberti KG, Zimmet P, Shaw J. Metabolic syndrome – a new worldwide definition. A consensus statement from the International Diabetes Federation. Diabet Med. 2006;23(5):460–480. doi:10.1111/j.1464-5491.2006.01858.x
   PubMed Web of Science ®Google Scholar
• Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA. 2001;285(19):2486–2497. doi:10.1001/jama.285.19.2486
   PubMed Web of Science ®Google Scholar
• Goff DC, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63(25):2935–2959. doi:10.1016/j.jacc.2013.11.005
   PubMed Web of Science ®Google Scholar
• D’Agostino RB, Vasan RS, Pencina MJ, et al. General cardiovascular risk profile for use in primary care: the Framingham heart study. Circulation. 2008;117(6):743–753. doi:10.1161/CIRCULATIONAHA.107.699579
   PubMed Web of Science ®Google Scholar
• McNeish DM, Stapleton LM. The effect of small sample size on two-level model estimates: a review and illustration. Educ Psycho Rev. 2016;28(2):295–314. doi:10.1007/s10648-014-9287-x
   Web of Science ®Google Scholar
• Arnett DK, Blumenthal RS, Alberti MA, et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: executive summary. J Am Coll Cardiol. 2019;74(10):1376–1414. doi:10.1016/j.jacc.2019.03.009
   PubMed Web of Science ®Google Scholar
• Dutra ES, Carvalho KMB, Miyazaki E, Merchán-Hamann E, Ito MK. Metabolic syndrome in central Brazil: prevalence and correlates in the adult population. Diabetol Metab Syndr. 2012;4(20):20. doi:10.1186/1758-5996-4-20
   PubMedGoogle Scholar
• Gronner MF, Bosi PL, Carvalho AM, et al. Prevalence of metabolic syndrome and its association with educational inequalities among Brazilian adults: a population-based study. Braz J Med Biol Res. 2011;44(7):713–719. doi:10.1590/S0100-879X2011007500087
   PubMed Web of Science ®Google Scholar
• Davila EP, Florez H, Fleming LE, et al. Prevalence of the metabolic syndrome among U.S workers. Diabetes Care. 2010;33(11):2390–2395. doi:10.2337/dc10-0681
   PubMedGoogle Scholar
• Mini GK, Sarma PS, Thankappan KR. Overweight, the major determinants of metabolic syndrome among industrial workers in Kerala, India: results of a cross-sectional study. Diabetes Metab Syndr. 2019;13(5):3025–3030. doi:10.1016/j.dsx.2018.07.009
   PubMedGoogle Scholar
• Kaur P, Radhakrishnan E, Rao SR, Sankarasubbaiyan S, Rao TV, Gupte MD. The metabolic syndrome and associated risk factors in an urban industrial male population in South India. J Assoc Physicians India. 2010;58(6):363–371.
   PubMedGoogle Scholar
• Schaller N, Blume K, Hanssen H, et al. Prevalence of the metabolic syndrome and its risk factors: results of a large work-site health assessment. Dtscha Med Wochenschr. 2014;139(45):2279–2284.
   PubMedGoogle Scholar
• Webb AL, Schiff A, Currivan D, Villamor E. Food Stamp Program participation but not food insecurity is associated with higher adult BMI in Massachusetts residents living in low-income neighbourhoods. Public Health Nutr. 2008;11(12):1248–1255. doi:10.1017/S1368980008002309
   PubMed Web of Science ®Google Scholar
• Leung CW, Villamor E. Is participation in food and income assistance programmes associated with obesity in California adults? Results from a state-wide survey. Public Health Nutr. 2011;14(4):645–652. doi:10.1017/S1368980010002090
   PubMed Web of Science ®Google Scholar
• Chatzivagia E, Pepa A, Vlassopoulos A, Malisova O, Filippou K, Kapsokefalou M. Nutrition transition in the post-economic crisis of Greece: assessing the nutritional gap of food insecure individuals. A cross-sectional study. Nutrients. 2019;11(12):pii: E2914. doi:10.3390/nu11122914
   PubMedGoogle Scholar
• Chaparro MP, Bernabe-Ortiz A, Harrison GG. Association between food assistance program participation and overweight. Revista De Saúde Pública. 2014;48(6):889–898. doi:10.1590/S0034-8910.2014048005359
   PubMedGoogle Scholar
• Kim S, Joo HJ, Shim W, Lee J. Normal weight obesity and metabolic syndrome risk in Korean adults: 5-year longitudinal health checkup study [abstract]. Circulation. 2018;138(supple1):A13448.
   Google Scholar
• United States Department of Agriculture. Definitions of food security. Available from: https://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/definitions-of-food-security.aspx. Accessed May 5, 2020.
   Google Scholar
• Wilde PE, Peterman JN. Individual weight change is associated with household food security status. J Nutr. 2006;136(5):1395–1400. doi:10.1093/jn/136.5.1395
   PubMed Web of Science ®Google Scholar
• Hanson KL, Sobal J, Frongillo EA. Gender and marital status clarify association between food insecurity and body weight. J Nutr. 2007;137(6):1460–1465. doi:10.1093/jn/137.6.1460
   PubMed Web of Science ®Google Scholar
• Ivers LC, Cullen KA. Food insecurity: special considerations for women. Am J Clin Nutr. 2011;94(6):1740S–4S. doi:10.3945/ajcn.111.012617
   PubMed Web of Science ®Google Scholar
• Hernandez DC, Reesor LM, Murillo R. Food insecurity and adult overweight/obesity: gender and race/ethic disparities. Appetite. 2017;117:373–378. doi:10.1016/j.appet.2017.07.010
   PubMed Web of Science ®Google Scholar
• Loucks EB, Rehkopf DH, Thurston RC, Kawachi C. Socioeconomic disparities in metabolic syndrome by gender: evidence from NHANES III. Ann Epidemiol. 2007;17(1):19–26. doi:10.1016/j.annepidem.2006.07.002
   PubMed Web of Science ®Google Scholar
• Rochlani Y, Pothineni NV, Mehta JL. Metabolic Syndrome: does it differ between women and men? Cardiovasc Drugs Ther. 2015;29(4):329–338.
   PubMed Web of Science ®Google Scholar
• Leung CW, Willet WC, Ding EL. Low-income Supplemental Nutrition Assistance Program participation is related to adiposity and metabolic risk factors. Am J Clin Nutr. 2012;95(1):17–24. doi:10.3945/ajcn.111.012294
   PubMed Web of Science ®Google Scholar
• GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1736–1788.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020. Geneva: World Health Organization; 2014.
   Google Scholar