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The relationship between employment status and insulin resistance in the Korean elderly population

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Abstract

Background/aims

This study aimed to investigate the relationship between employment status and insulin resistance in the Korean elderly population.

Methods

The study included 2325 healthy participants (862 men and 1463 women) who did not have diabetes, were 60–74 years old, and participated in the 2007–2010 Korea National Health and Nutrition Examination Survey. Their employment status was categorized as employed or unemployed. The homeostasis model assessment of insulin resistance (HOMA-IR) was used to assess insulin sensitivity. Insulin resistance was defined as values greater than the 75th percentile of the HOMA-IR (> 2.67 in men and > 2.87 in women).

Results

Mean HOMA-IR values were significantly higher for both sexes in the unemployed group than in the employed group. Compared with the unemployed group, the odds ratios (95% confidence intervals) for insulin resistance in the employed group were 0.55 (0.34–0.87) in men and 0.68 (0.47–0.98) in women after adjusting for confounders.

Conclusions

Being employed was significantly associated with a lower risk of insulin resistance in the Korean elderly population. These findings suggest that insulin sensitivity could be increased by increasing physical activity through occupational activities in the elderly population.

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References

  1. Facchini FS, Hua N, Abbasi F et al (2001) Insulin resistance as a predictor of age-related diseases. J Clin Endocrinol Metab 86:3574–3578. https://doi.org/10.1210/jcem.86.8.7763

    Article  CAS  PubMed  Google Scholar 

  2. Lebovitz HE (2001) Insulin resistance: definition and consequences. Exp Clin Endocrinol Diabetes 109(Suppl 2):S135–S148. https://doi.org/10.1055/s-2001-18576

    Article  Google Scholar 

  3. Groop LC (1999) Insulin resistance: the fundamental trigger of type 2 diabetes. Diabetes Obes Metab 1:S1–S7

    Article  Google Scholar 

  4. Tenenbaum A, Adler Y, Boyko V et al (2007) Insulin resistance is associated with increased risk of major cardiovascular events in patients with preexisting coronary artery disease. Am Heart J 153:559–565. https://doi.org/10.1016/j.ahj.2007.01.008

    Article  CAS  PubMed  Google Scholar 

  5. Kernan WN, Inzucchi SE, Viscoli CM et al (2002) Insulin resistance and risk for stroke. Neurology 59:809–815

    Article  CAS  Google Scholar 

  6. Craft S, Watson GS (2004) Insulin and neurodegenerative disease: shared and specific mechanisms. Lancet Neurol 3:169–178. https://doi.org/10.1016/s1474-4422(04)00681-7

    Article  CAS  PubMed  Google Scholar 

  7. Witso E (2012) The role of infection-associated risk factors in prosthetic surgery. Hip Int 22:S5–S8. https://doi.org/10.5301/hip.2012.9564

    Article  Google Scholar 

  8. Tsugane S, Inoue M (2010) Insulin resistance and cancer: epidemiological evidence. Cancer Sci 101:1073–1079. https://doi.org/10.1111/j.1349-7006.2010.01521.x

    Article  CAS  PubMed  Google Scholar 

  9. Ausk KJ, Boyko EJ, Ioannou GN (2010) Insulin resistance predicts mortality in nondiabetic individuals in the U.S. Diabetes Care 33:1179–1185. https://doi.org/10.2337/dc09-2110

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Amati F, Dube JJ, Coen PM et al (2009) Physical inactivity and obesity underlie the insulin resistance of aging. Diabetes Care 32:1547–1549. https://doi.org/10.2337/dc09-0267

    Article  PubMed  PubMed Central  Google Scholar 

  11. Marzetti E, Calvani R, Tosato M et al (2017) Physical activity and exercise as countermeasures to physical frailty and sarcopenia. Aging Clin Exp Res 29:35–42. https://doi.org/10.1007/s40520-016-0705-4

    Article  PubMed  Google Scholar 

  12. Di Francesco V, Zamboni M, Zoico E et al (2005) Relationships between leisure-time physical activity, obesity and disability in elderly men. Aging Clin Exp Res 17:201–206

    Article  Google Scholar 

  13. Zuo H, Shi Z, Yuan B et al (2012) Interaction between physical activity and sleep duration in relation to insulin resistance among non-diabetic Chinese adults. BMC Public Health 12:247. https://doi.org/10.1186/1471-2458-12-247

    Article  PubMed  PubMed Central  Google Scholar 

  14. Allender S, Foster C, Boxer A (2008) Occupational and nonoccupational physical activity and the social determinants of physical activity: results from the Health Survey for England. J Phys Act Health 5:104–116

    Article  Google Scholar 

  15. Van Domelen DR, Koster A, Caserotti P et al (2011) Employment and physical activity in the U.S. Am J Prev Med 41:136–145. https://doi.org/10.1016/j.amepre.2011.03.019

    Article  PubMed  PubMed Central  Google Scholar 

  16. Kang HT, Lee HR, Lee YJ et al (2013) Relationship between employment status and obesity in a Korean elderly population, based on the 2007–2009 Korean National Health and Nutrition Examination Survey (KNHANES). Arch Gerontol Geriatr 57:54–59. https://doi.org/10.1016/j.archger.2013.02.004

    Article  PubMed  Google Scholar 

  17. Matthews DR, Hosker JP, Rudenski AS et al (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419

    Article  CAS  Google Scholar 

  18. Oh JY, Yang YJ, Kim BS et al (2007) Validity and reliability of Korean version of International Physical Activity Questionnaire (IPAQ) short form. J Korean Acad Fam Med 28:532–541

    Google Scholar 

  19. Bell LM, Watts K, Siafarikas A et al (2007) Exercise alone reduces insulin resistance in obese children independently of changes in body composition. J Clin Endocrinol Metab 92:4230–4235. https://doi.org/10.1210/jc.2007-0779

    Article  CAS  PubMed  Google Scholar 

  20. Attvall S, Fowelin J, Lager I et al (1993) Smoking induces insulin resistance—a potential link with the insulin resistance syndrome. J Intern Med 233:327–332

    Article  CAS  Google Scholar 

  21. Bell RA, Mayer-Davis EJ, Martin MA et al (2000) Associations between alcohol consumption and insulin sensitivity and cardiovascular disease risk factors: the Insulin Resistance and Atherosclerosis Study. Diabetes Care 23:1630–1636

    Article  CAS  Google Scholar 

  22. Flanagan DE, Moore VM, Godsland IF et al (2000) Alcohol consumption and insulin resistance in young adults. Eur J Clin Investig 30:297–301

    Article  CAS  Google Scholar 

  23. Gumbs AA, Modlin IM, Ballantyne GH (2005) Changes in insulin resistance following bariatric surgery: role of caloric restriction and weight loss. Obes Surg 15:462–473. https://doi.org/10.1381/0960892053723367

    Article  PubMed  Google Scholar 

  24. Dallongeville J, Cottel D, Ferrieres J et al (2005) Household income is associated with the risk of metabolic syndrome in a sex-specific manner. Diabetes Care 28:409–415

    Article  Google Scholar 

  25. Park SJ, Kang HT, Nam CM et al (2012) Sex differences in the relationship between socioeconomic status and metabolic syndrome: the Korean National Health and Nutrition Examination Survey. Diabetes Res Clin Pract 96:400–406. https://doi.org/10.1016/j.diabres.2011.12.025

    Article  PubMed  Google Scholar 

  26. Zhan Y, Yu J, Chen R et al (2012) Socioeconomic status and metabolic syndrome in the general population of China: a cross-sectional study. BMC Public Health 12:921. https://doi.org/10.1186/1471-2458-12-921

    Article  PubMed  PubMed Central  Google Scholar 

  27. Freiberger E, Sieber C, Pfeifer K (2011) Physical activity, exercise, and sarcopenia—future challenges. Wien Med Wochenschr 161:416–425. https://doi.org/10.1007/s10354-011-0001-z

    Article  PubMed  Google Scholar 

  28. Srikanthan P, Karlamangla AS (2011) Relative muscle mass is inversely associated with insulin resistance and prediabetes. Findings from the third National Health and Nutrition Examination Survey. J Clin Endocrinol Metab 96:2898–2903. https://doi.org/10.1210/jc.2011-0435

    Article  CAS  PubMed  Google Scholar 

  29. Kim JS, Kang HT, Shim JY et al (2012) The association between the triglyceride to high-density lipoprotein cholesterol ratio with insulin resistance (HOMA-IR) in the general Korean population: based on the National Health and Nutrition Examination Survey in 2007–2009. Diabetes Res Clin Pract 97:132–138. https://doi.org/10.1016/j.diabres.2012.04.022

    Article  CAS  PubMed  Google Scholar 

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Funding

The author(s) received no financial support for the research, authorship and/or publication of this article.

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Correspondence to Yong-Jae Lee.

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Conflict of interest

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Human and animal rights

The Korea National Health and Nutrition Examination Survey was approved by the Institutional Review Board of the Korea Centers for Disease Control and Prevention (approval numbers: 2007-02CON-04-P, 2008-04EXP-01-C, 2009-01CON-03-2C, and 2010-02CON-21-C). In addition, this study was performed in accordance with the ethical principles of the Declaration of Helsinki.

Informed consent

Written informed consent was obtained from all participants.

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Park, JM., Dong, JJ., Lee, JW. et al. The relationship between employment status and insulin resistance in the Korean elderly population. Aging Clin Exp Res 30, 1385–1390 (2018). https://doi.org/10.1007/s40520-018-0934-9

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  • DOI: https://doi.org/10.1007/s40520-018-0934-9

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