Advertisement

Association between DNA damage, dietary patterns, nutritional status, and non-communicable diseases in coal miners

  • Marina dos Santos
  • Júlia Oliveira Penteado
  • Maria Cristina Flores Soares
  • Ana Luíza Muccillo-Baisch
  • Flávio Manoel Rodrigues Da Silva-JúniorEmail author
Research Article
  • 70 Downloads

Abstract

Several negative health effects have been associated with environmental pollution. Coal mining activities are related to DNA damage. However, the impact of lifestyle as well as environmental exposure must be considered when evaluating the extent of DNA damage. The aim of this cross-sectional study was to analyze nutritional status, dietary patterns, and the prevalence of non-communicable diseases (CNCDs) among coal miners as well as to investigate the correlation of these variables with DNA damage. We used a questionnaire to assess demographics, health, and dietary habits. The nutritional status was measured in terms of BMI (body mass index) and DNA damage was assessed by the comet assay. The sample population was composed of 158 coal miners from the largest coal mining company in South of Brazil, and majority of them were classified as overweight (51.3%) or obese (28.5%). Hypertension was the most common CNCD (50.6%) and a majority of these workers consumed all groups of foods three or more times a week. There was a significant positive correlation between BMI and DNA damage (r = 0.1646, p = 0.04) and this association was stronger (r = 0.2556, p = 0.04) in coal miners with some CNCD. There was no significant correlation between dietary patterns and DNA damage in coal miners. These results suggest that the nutritional status and CNCD increase the extent of DNA damage in coal miners. Since this population is at high occupational risk, specific strategies should be designed to improve the health of these workers, aiming to achieve health equity.

Keywords

Comet assay Genotoxicity Body mass index Dietary intake 

Notes

Funding information

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) —Finance Code 001, and by the Companhia Riograndense de Mineração.

Supplementary material

11356_2019_4922_MOESM1_ESM.docx (21 kb)
ESM 1 (DOCX 20 kb)
11356_2019_4922_MOESM2_ESM.docx (14 kb)
ESM 2 (DOCX 13 kb)

References

  1. Ahern M, Martha M, Mackay K, Hamilton C (2011) Residence in coal-mining areas and low-birth-weight outcomes. Matern Child Health J Maternal 15:974–979.  https://doi.org/10.1007/s10995-009-0555-1 CrossRefGoogle Scholar
  2. Altınsoy B, II O¨ z, Erboy F, Tor M, Atalay F (2016) Emphysema and airflow obstruction in non-smoking coal miners with pneumoconiosis. Med Sci Monit 22:4887–4893CrossRefGoogle Scholar
  3. Amani R, Gill T (2013) Shiftworking, nutrition and obesity: implications for workforce health—a systematic review. Asia Pac J Clin Nutr 22(4):505–515.  https://doi.org/10.6133/APJCN.2013.22.4.11 Google Scholar
  4. Associação Brasileira de Empresas de Pesquisa – ABEP (2012) Dados com base no Levantamento Sócio Econômico 2012 – IBOPE. Available on: www.abep.org
  5. Balieiro LCT, Rossato LT, Waterhouse J, Paim SL, Mota MC, Crispim CA (2014) Nutritional status and eating habits of bus drivers during the day and night. Chronobiol Int 31(10):1123–1129.  https://doi.org/10.3109/07420528.2014.957299 CrossRefGoogle Scholar
  6. Bertin M, Touvier M, Dubuisson C, Dufour A, Havard S, Lafay L, Volatier J-L, Lioret S (2016) Dietary patterns of French adults: associations with demographic, socio-economic and behavioural factors. J Hum Nutr Diet 29:241–254CrossRefGoogle Scholar
  7. Bilici S, Saglam F, Beyhan Y, Barut-Uyar B, Dikmen D, Goktas Z, Attar AJ, Mucka P, Uyar MF (2015) Energy expenditure and nutritional status of coal miners: a cross-sectional study. Arch Environ Occup Health 70:293–299.  https://doi.org/10.1080/19338244.2015.1095152 Google Scholar
  8. Celik M, Donbak L, Unal F, Yuzbasioglu D, Aksoy H, Yilmaz S (2007) Cytogenetic damage in workers from a coal-fired power plant. Mutat Res 627:158–163CrossRefGoogle Scholar
  9. Ministério da Saúde a (2014). Guia alimentar para a população brasileira. 2a. ed. Brasília (DF); Available online:http://bvsms.saude.gov.br/bvs/publicacoes/guia_alimentar_populacao_brasileira_2ed.pdf
  10. Ministério da Saúde b (2014). Secretaria de Vigilância em Saúde. Departamento de Vigilância de Doenças e Agravos não Transmissíveis e Promoção da Saúde. Vigitel Brasil 2014: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde. Available on: http://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2014.pdf
  11. Da Silva Pinto EA, Garcia EM, de Almeida KA, Fernandes CFL, Tavella RA, Soares MCF, Baisch PRM, Muccillo-Baisch AL, da Silva Júnior FMR (2017) Genotoxicity in adult residents in mineral coal region—a cross-sectional study. Environ Sci Pollut Res Int 24(20):16806–16814.  https://doi.org/10.1007/s11356-017-9312-y CrossRefGoogle Scholar
  12. Da Silva-Júnior FMR, Tavella RA, Fernandes CLF, Soares MCF, Almeida KA, Garcia EM, Silva Pinto EA, Baisch ALM (2018) Genotoxicity in Brazilian coal miners and its associated factors. Hum Exp Toxicol 37(9):1–10.  https://doi.org/10.1177/0960327117745692 CrossRefGoogle Scholar
  13. Dominici F, Peng RD, Samet JM (2004) Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 295(10):1127–1134.  https://doi.org/10.1001/jama.295.10.1127 CrossRefGoogle Scholar
  14. Fenech M, Bonassi S (2011) The effect of age, gender, diet and lifestyle on DNA damage measured using micronucleus frequency in human peripheral blood lymphocytes. mutagenesis 26(1):43–49.  https://doi.org/10.1093/mutage/geq050 CrossRefGoogle Scholar
  15. Fernández-Navarro P, García-Pérez J, Ramis R, Boldo E, López-Abente G (2012) Proximity to mining industry and cancer mortality. Sci Total Environ 435(436):66–73.  https://doi.org/10.1016/j.scitotenv.2012.07.019 CrossRefGoogle Scholar
  16. Gür M, Elbasan Z, Yıldıray Şahin D, Yıldız Koyunsever N, Seker T, Ozaltun B, Caylı M, Kocyigit A (2013) DNA damage and oxidative status in newly diagnosed, untreated, dipper and non-dipper hypertensive patients. Hypertens Res 36(2):166–171.  https://doi.org/10.1038/hr.2012.156 CrossRefGoogle Scholar
  17. Ha S, Hu H, Roth J, Kan H, Xu X (2015) Associations between residential proximity to power plants and adverse birth outcomes. Am J Epidemiol 182(3):215–224.  https://doi.org/10.1093/aje/kwv042 CrossRefGoogle Scholar
  18. Han JH, Lee HJ, Choi HJ, Yun KE, Kang MH (2013) Association between oxidative stress and blood pressure in Korean subclinical hypertensive patients. Korean J Nutr 46:126–136.  https://doi.org/10.4163/kjn.2013.46.2.126 CrossRefGoogle Scholar
  19. Heianza Y, Qi L (2017) Gene-diet interaction and precision nutrition in obesity. Int J Mol Sci 18:787.  https://doi.org/10.3390/ijms18040787 CrossRefGoogle Scholar
  20. Hemeryck LY, Hecke TV, Vossen E, De Smet S, Vanhaecke L (2017) DNA adductomics to study the genotoxic effects of red meat consumption with and without added animal fat in rats. Food Chem 230:378–387.  https://doi.org/10.1016/j.foodchem.2017.02.129 CrossRefGoogle Scholar
  21. Hendryx M, Ahern MM (2008) Relations between health indicators and residential proximity to coal mining in West Virginia. Am J Public Health 98(4):669–671.  https://doi.org/10.2105/AJPH.2007.113472 CrossRefGoogle Scholar
  22. Huang J-H, Li R-H, Huang S-L, Sia H-K, Chen Y-L, Tang F-C (2015) Lifestyle factors and metabolic syndrome among workers: the role of interactions between smoking and alcohol to nutrition and exercise. Int J Environ Res Public Health 12:15967–15978.  https://doi.org/10.3390/IJERPH121215035 CrossRefGoogle Scholar
  23. Instituto Brasileiro de Geografia e Estatística – IBGE (2012). Instituto Brasileiro de Geografia e Estatística. Retrieved January 20, 2016 from: www.ibge.gov.br/
  24. Instituto Brasileiro de Geografia e Estatística – IBGE (2014) Pesquisa Nacional de Saúde 2013: percepção do estado de saúde, estilos de vida e doenças crônicas: Brasil, Grandes Regiões e Unidades da Federação [Internet]. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística; 2014. Available: http://ftp.ibge.gov.br/PNS/2013/pns2013.pdf
  25. Joosen AMCP, Kuhnle GGC, Aspinall SM, Barrow TM, Lecommandeur E, Azqueta A, Collins AR, Bingham SA (2009) Effect of processed and red meat on endogenous nitrosation and DNA damage. Carcinogenesis 30(8):1402–1407.  https://doi.org/10.1093/carcin/bgp130 CrossRefGoogle Scholar
  26. Ladeira C, Carolino E, Gomes MC, Brito M (2017) Role of macronutrients and micronutrients in DN Damage: results from a food frequency questionnaire. Nutr Metab Insights 1(8).  https://doi.org/10.1177/1178638816684666
  27. León-Mejía G, Espitia-Pérez L, Hoyos-Giraldo LS, Da Silva J, Hartmann A, Henriques JA, Quintana M (2011) Assessment of DNA damage in coal open-cast mining workers using the cytokinesis-blocked micronucleus test and the comet assay. Sci Total Environ 409(4):686–691.  https://doi.org/10.1016/j.scitotenv.2010.10.049 CrossRefGoogle Scholar
  28. Louzada MLC, Martins APB, Canella DS, Baraldi LG, Levy RB, Claro RM, Moubara JC, Cannon G, Monteiro CA (2015) Alimentos ultraprocessados e perfil nutricional da dieta no Brasil. Rev Saúde Pública:49–38.  https://doi.org/10.1590/S0034-8910.2015049006132
  29. Lowden A, Moreno C, Holmback U, Lennernas M, Tucker P (2010) Eating and shift work—effects on habits, metabolism, and performance. Scand J Work Environ Health 36(2):150–162.  https://doi.org/10.5271/sjweh.2898 CrossRefGoogle Scholar
  30. Mahar A, Wang P, Ali A, Awasthi MK, Lahori AH, Wang Q, Li R, Zhang Z (2016) Challenges and opportunities in the phytoremediation of heavy metals contaminated soils: a review. Ecotoxicol Environ Saf 126:111–121.  https://doi.org/10.1016/j.ecoenv.2015.12.023 CrossRefGoogle Scholar
  31. McGuire S (2011) U.S. Department of Agriculture and U.S. Department of Health and Human Services, Dietary guidelines for Americans, 2010. 7th Edition, Washington, DC: U.S. Government Printing Office. Adv Nutr 2:293–294.  https://doi.org/10.3945/AN.111.000430. CrossRefGoogle Scholar
  32. Møller P, Knudsen LE, Loft S, Wallin H (2000) The comet assay as a rapid test in biomonitoring occupational exposure to DNA-damaging agents and effect of confounding factors. Cancer Epidem Biomar 9(10):1005–1015Google Scholar
  33. Monteiro CA, Mondini L, Costa RBL (2000) Mudanças na composição e adequação nutricional da dieta familiar nas áreas metropolitanas do Brasil (1988–1996). Rev Saúde Pública 34(3):251–258.  https://doi.org/10.1590/S0034-89102000000300007 CrossRefGoogle Scholar
  34. Overgaard D, Gyntelberg F, Heitman BL (2004) Psychological workload and body weight: is there an association? A review of the literature. Occup Med 54:35–41.  https://doi.org/10.1539/joh.44.373 CrossRefGoogle Scholar
  35. Peixoto MRG, Benício MHDA, Jardim PCBV (2006) Validity of self-reported weight and height: the Goiânia study. Brazil Rev Saúde Pública 40(6):1065–1072CrossRefGoogle Scholar
  36. Pinto D, Ceballos JM, Garcia G, Guzman P, Del Razo LM, Vera E et al (2000) Increased cytogenetic damage in outdoor painters. Mutat Res 467:105–111CrossRefGoogle Scholar
  37. Ribeiro AC, Sávio KEO, Rodrigues MLCF, Costa THM, Schmitz BAS (2006) Validação de um questionário de frequência de consumo alimentar para população adulta. Rev Nutr 19(5):553–562.  https://doi.org/10.1590/S1415-52732006000500003 CrossRefGoogle Scholar
  38. Rohde JF, Angguist L, Larsen SC, Tolstrup JS, Husemoen LLN, Linneberg A, Toft U, Overvad K, Halkiaer J, Tionelland A, Hansen T, Pedersen O, Sorensen TIA, Heitmann BL (2017) Alcohol consumption and its interaction with adiposity-associated genetic variants in relation to subsequent changes in waist circumference and body weight. Nutr J 16(1):51.  https://doi.org/10.1186/s12937-017-0274-1 CrossRefGoogle Scholar
  39. Rossato SL, Olinto MTA, Henn RL, Anjos LA, Bressan AW, Wahrlich V (2010) Seasonal effect on nutrient intake in adults living in Southern Brazil. Cad Saúde Pública 26:2177–2187CrossRefGoogle Scholar
  40. Rossato SL, Olinto MTA, Henn RL, Moreira LB, Camey SA, Anjos LA Bressan AW, Wahrlich V (2015) Seasonal variation in food intake and the interaction effects of sex and age among adults in southern Brazil. Eur J Clin Nutr:1–8.  https://doi.org/10.1038/EJCN.2015.22
  41. Santos JD, Ferreira AA, Meira KC, Pierin AMG (2013) Excess weight in employees of food and nutrition units at a university in São Paulo State. Einstein 11(4):486–491.  https://doi.org/10.1590/S1679-45082013000400014 CrossRefGoogle Scholar
  42. Schulte PA, Wagner GR, Ostry A, Blanciforti LA, Cutlip RG, Krajnak KM, Luster M, Munson Albert E, O’Callaghan James P, Parks Christine G, Simeonova Petia P, Miller DB (2007) Work, obesity, and occupational safety and health. Am J Public Health 97(3):428–436.  https://doi.org/10.2105/AJPH.2006.086900 CrossRefGoogle Scholar
  43. Scott C, Johnstone AM (2012) Stress and eating behaviour: implications for obesity. Eur J Obes 5:277–287.  https://doi.org/10.1159/000338340 Google Scholar
  44. Serra D, Mera P, Malandrino MI, Mir JF, Herrero L (2013) Mitochondrial fatty acid oxidation in obesity. Antioxid Redox Signal 19:269–284.  https://doi.org/10.1089/ars.2012.4875 CrossRefGoogle Scholar
  45. Shaham J, Gurvich R, Kaufman Z (2002) Sister chromatid exchange in pathology staff occupationally exposed to formaldehyde. Mutat Res 514:115–123CrossRefGoogle Scholar
  46. Shimizu I, Yoshida Y, Katsuno T, Tateno K, Okada S, Moriya J, Yokoyama M, Nojima A, Ito T, Zechner R (2012) P53-induced adipose tissue inflammation is critically involved in the development of insulin resistance in heart failure. Cell Metab 15:51–64.  https://doi.org/10.1016/j.cmet.2011.12.006 CrossRefGoogle Scholar
  47. Shimizu I, Yoshida Y, Suda M, Minamino T (2014) DNA damage response and metabolic disease. Cell Metab 20(6):967–977.  https://doi.org/10.1016/j.cmet.2014.10.008 CrossRefGoogle Scholar
  48. Sies H, Stahl W, Sevanian A (2005) Nutritional, dietary and postprandial oxidative stress. J Nutr 135:969–972CrossRefGoogle Scholar
  49. Silva-Junior FMR, Vargas VMF (2007) Avaliação de áreas de influência de uma termelétrica a carvão através de ensaio de genotoxicidade J Brazil Ecotoxicol 2:1–3.  https://doi.org/10.5132/jbse.2007.02.013 Google Scholar
  50. Singh NP, McCoy MT, Tice RR, Schneider EL (1988) A simple technique for quantitation of low levels of DNA damage in individual cells. Exp Cell Res 175:184–191CrossRefGoogle Scholar
  51. Sinitsky MY, Minina VI, Gafarov NI, Asanov MA, Larionov AV, Ponasenko AV, Volobaev VP, Druzhinin VG (2016) Assessment of DNA damage in underground coal miners using the cytokinesis-block micronucleus assay in peripheral blood lymphocytes. Mutagenesis:1–7.  https://doi.org/10.1093/mutage/gew038
  52. Soares JP, Cortinhas A, Bento T, José Leitão C, Collins AR, Gaivão I, Mota MP (2014) Aging and DNA damage in humans: a meta-analysis study. AGING 6(6): 432-439.doiI: https://doi.org/10.18632/aging.100667
  53. Tilg H, Moschen AR (2006) Adipocytokines: mediators linking adipose tissue, inflammation and immunity. Nat Rev Immunol 6:772–783.  https://doi.org/10.1038/nri1937 CrossRefGoogle Scholar
  54. Tomasello B, Malfa G, Galvano F, Renis M (2011) DNA damage in normal-weight obese syndrome measured by comet assay. Mediterr J Nutr Metab 4:99–104.  https://doi.org/10.1007/s12349-010-0035-6 CrossRefGoogle Scholar
  55. Ulker OC, Ustundag A, Duydu Y, Yucesoy B, Karakaya A (2008) Cytogenetic monitoring of coal workers and patients with coal workers’ pneumoconiosis in Turkey. Environ Mol Mutagen 49:232–237CrossRefGoogle Scholar
  56. Volobaev VP, Sinitsky MY, Kulemin YE (2015) Cytogenetic status in coal miners with occupational pulmonary diseases and influence of the polymorphisms of the XPD and XPG genes. Ecologicheskaya Genetika 13(4):12–15.  https://doi.org/10.1134/S2079059717020162 Google Scholar
  57. Willett WC (2006) The Mediterranean diet: science and practice. Public Health Nutr 9:105–110.  https://doi.org/10.1079/PHN2005931 CrossRefGoogle Scholar
  58. World Health Organization (2000) Obesity: preventing and managing the global epidemic. Report of a World Health Organization Consultation. Geneva: World Health Organization. Obesity Technical Report Series, 284: 256 Available on: http://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/
  59. World Health Organization (2010) World health statistics. 1:117. Available on: http://www.who.int/gho/publications/world_health_statistics/EN_WHS10_Full.pdf
  60. Xu SH, Qiao N, Huang JJ, Sun CM, Cui Y, Tian SS, Wang C, Liu XM, Zhang HX, Wang H, Liang J, Lu Q, Wang T (2016) Gender differences in dietary patterns and their association with the prevalence of metabolic syndrome among Chinese: a cross-sectional study. Nutrients 8(4):180.  https://doi.org/10.3390/nu8040180 CrossRefGoogle Scholar
  61. Yamada Y, Ishizaki M, Tsuritani I (2002) Prevention of weight gain and obesity in occupational populations: a new target of health promotion services at worksites. J Occup Health 44(6):373–384.  https://doi.org/10.1539/joh.44.373 CrossRefGoogle Scholar
  62. Yildiz A, Gür M, Yilmaz R, Demirbağ R, Celik H, Aslan M, Koçyiğit A (2008) Lymphocyte DNA damage and total antioxidant status in patients with white-coat hypertension and sustained hypertension. Turk Kardiyol Dern Ars 36(4):231–238Google Scholar
  63. Zahorska-Markiewicz B (1991) Nutritional status and physical fitness of Polish miners and steel workers. Int Arc Occupa Environ Health 63:129–132.  https://doi.org/10.1007/BF00379076 CrossRefGoogle Scholar
  64. Zhang FF, Morabia A, Carroll J, Gonzalez K, Fulda K, Manleen K, Vishwanatha JK, Santella RM, Cardarelli R (2011) Dietary patterns are associated with levels of global genomic DNA methylation in a cancer-free population. J Nutr 141:1165–1171.  https://doi.org/10.3945/jn.110.134536 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Marina dos Santos
    • 1
    • 2
  • Júlia Oliveira Penteado
    • 1
    • 2
  • Maria Cristina Flores Soares
    • 1
    • 2
  • Ana Luíza Muccillo-Baisch
    • 1
    • 2
  • Flávio Manoel Rodrigues Da Silva-Júnior
    • 1
    • 2
    Email author
  1. 1.Programa de Pós-Graduação em Ciências Da Saúde, Faculdade de MedicinaUniversidade Federal do Rio GrandeRio GrandeBrazil
  2. 2.Laboratório de Ensaios Farmacológicos e Toxicológicos, Instituto de Ciências BiológicasUniversidade Federal do Rio GrandeRio GrandeBrazil

Personalised recommendations