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Low-Risk lifestyle behaviors and all-cause mortality: Findings from the national health and nutrition examination survey III mortality study

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  • Ford, E.S.
  • Zhao, G.
  • Tsai, J.
  • Li, C.

Abstract

Objectives. We examined the relationship between 4 low-risk behaviors-never smoked, healthy diet, adequate physical activity, and moderate alcohol consumption- and mortality in a representative sample of people in the United States. Methods. We used data from 16958 participants aged 17 years and older in the National Health and Nutrition Examination Survey III Mortality Study from 1988 to 2006. Results. The number of low-risk behaviors was inversely related to the risk for mortality. Compared with participants who had no low-risk behaviors, those who had all 4 experienced reduced all-cause mortality (adjusted hazard ratio [AHR]=0.37; 95% confidence interval [CI]=0.28, 0.49), mortality from malignant neoplasms (AHR=0.34; 95% CI=0.20, 0.56), major cardiovascular disease (AHR=0.35; 95% CI=0.24, 0.50), and other causes (AHR=0.43; 95% CI=0.25, 0.74). The rate advancement periods, representing the equivalent risk from a certain number of years of chronological age, for participants who had all 4 highrisk behaviors compared with those who had none were 11.1 years for all-cause mortality, 14.4 years for malignant neoplasms, 9.9 years for major cardiovascular disease, and 10.6 years for other causes. Conclusions. Low-risk lifestyle factors exert a powerful and beneficial effect on mortality.

Suggested Citation

  • Ford, E.S. & Zhao, G. & Tsai, J. & Li, C., 2011. "Low-Risk lifestyle behaviors and all-cause mortality: Findings from the national health and nutrition examination survey III mortality study," American Journal of Public Health, American Public Health Association, vol. 101(10), pages 1922-1929.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2011.300167_9
    DOI: 10.2105/AJPH.2011.300167
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    1. Inhwan Lee & Shinuk Kim & Hyunsik Kang, 2019. "Lifestyle Risk Factors and All-Cause and Cardiovascular Disease Mortality: Data from the Korean Longitudinal Study of Aging," IJERPH, MDPI, vol. 16(17), pages 1-11, August.
    2. Rufi Shaikh & Junaid Khan, 2021. "Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-13, January.
    3. Rongrong Zhang & Song Liu & Ming Li & Xiong He & Chunshan Zhou, 2021. "The Effect of High-Density Built Environments on Elderly Individuals’ Physical Health: A Cross-Sectional Study in Guangzhou, China," IJERPH, MDPI, vol. 18(19), pages 1-22, September.
    4. Kathleen E. Burns & Ashok Chaurasia & Valerie Carson & Scott T. Leatherdale, 2021. "Examining If Changes in the Type of School-Based Intramural Programs Affect Youth Physical Activity over Time: A Natural Experiment Evaluation," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
    5. Needham, Belinda L. & Adler, Nancy & Gregorich, Steven & Rehkopf, David & Lin, Jue & Blackburn, Elizabeth H. & Epel, Elissa S., 2013. "Socioeconomic status, health behavior, and leukocyte telomere length in the National Health and Nutrition Examination Survey, 1999–2002," Social Science & Medicine, Elsevier, vol. 85(C), pages 1-8.
    6. Regina Frei & Sarah R Haile & Margot Mutsch & Sabine Rohrmann, 2015. "Relationship of Serum Vitamin D Concentrations and Allostatic Load as a Measure of Cumulative Biological Risk among the US Population: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
    7. Hagger, Martin S. & Polet, Juho & Lintunen, Taru, 2018. "The reasoned action approach applied to health behavior: Role of past behavior and tests of some key moderators using meta-analytic structural equation modeling," Social Science & Medicine, Elsevier, vol. 213(C), pages 85-94.
    8. Mahdi Vajdi & Leila Nikniaz & Asghar Mohammad Pour Asl & Mahdieh Abbasalizad Farhangi, 2020. "Lifestyle patterns and their nutritional, socio-demographic and psychological determinants in a community-based study: A mixed approach of latent class and factor analyses," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-16, July.
    9. Bich Tran & Michael O Falster & Kirsty Douglas & Fiona Blyth & Louisa R Jorm, 2014. "Health Behaviours and Potentially Preventable Hospitalisation: A Prospective Study of Older Australian Adults," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    10. Gong, Jie & Lu, Yi & Xie, Huihua, 2020. "The average and distributional effects of teenage adversity on long-term health," Journal of Health Economics, Elsevier, vol. 71(C).
    11. Lindsay C. Kobayashi & Sarah Frank & Carlos Riumallo-Herl & David Canning & Lisa Berkman, 2019. "Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 135-145, January.
    12. Huoyun, Zhu & Shilong, Ma & Zhaoqi, Li & Huiqin, Xia, 2023. "Early socioeconomic status, social mobility and cognitive trajectories in later life: A life course perspective," Economics & Human Biology, Elsevier, vol. 50(C).
    13. Sarah R. Dash & Erin Hoare & Pia Varsamis & Garry L. R. Jennings & Bronwyn A. Kingwell, 2019. "Sex-Specific Lifestyle and Biomedical Risk Factors for Chronic Disease among Early-Middle, Middle and Older Aged Australian Adults," IJERPH, MDPI, vol. 16(2), pages 1-13, January.
    14. Tetyana Pudrovska & Benedicta Anikputa, 2014. "Editor's choice Early-Life Socioeconomic Status and Mortality in Later Life: An Integration of Four Life-Course Mechanisms," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(3), pages 451-460.
    15. Ulrich John & Monika Hanke & Jennis Freyer-Adam, 2018. "Health Risk Behavior Patterns in a National Adult Population Survey," IJERPH, MDPI, vol. 15(5), pages 1-12, April.
    16. Caterina Trevisan & Giulia Capodaglio & Eliana Ferroni & Ugo Fedeli & Marianna Noale & Giovannella Baggio & Enzo Manzato & Stefania Maggi & Maria Chiara Corti & Giuseppe Sergi, 2022. "Cardiovascular risk profiles and 20-year mortality in older people: gender differences in the Pro.V.A. study," European Journal of Ageing, Springer, vol. 19(1), pages 37-47, March.
    17. Michael McCrea & Mark Farrell, 2018. "A Conceptual Model for Pricing Health and Life Insurance Using Wearable Technology," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(3), pages 389-411, December.

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