Murray CJ, Lopez AD. Mortality by cause for eight regions of the world: Global Burden of Disease Study.Lancet 1997;349:1269-76.
Ezzati M, Lopez A, Rodgers A, Vander Hoorn S, Murray C, and the Comparative Risk Assessment Collaborating Group. Selected major risk factors and regional burden of disease.Lancet 2002;360:1347-60.
Stampfer MJ, Hu FB, Manson JE, Rimm EB, Willet WC. Primary prevention of coronary heart disease in women through diet and lifestyle.N Engl J Med 2000;343:16-22.
Hu FB, Manson JE, Stampfer MJ, Colditz G, Liu S, Solomon CG et al. Diet, lifestyle and the risk of type 2 diabetes mellitus in women.N Engl J Med 2001;345:790-7.
Kaleta D, Makowiec Dąbrowska T, Jegier A. Lifestyle index and work ability.Int J Occup Med Environ Health 2006;19(3):170-7. [PubMed]
Makowiec-Dąbrowska T, Sprusińska E, Bazylewicz-Walczak B, Radwan-Włodarczyk Z, Koszada-Włodarczyk W. Work ability: A new approach to assessment.Med Pr 2000;4:317-34 [in Polish].
Kaleta D, Makowiec Dąbrowska T, Jegier A. Leisure-time physical activity, cardiorespiratory fitness and work ability: A study in randomly selected residents of Łódź.Int J Occup Med. Environ Health 2004;17(4):457-64. [PubMed]
Idler E, Angel R. Self-rated health and mortality in the NHANES-I epidemiologic follow-up study.Am J Pub Health 1990;80:446-52.
Miilunpalo S, Vuori I, Oja P, Pasanen M, Urponen H. Self-rated health status as a health measure: The predictive value of self-reported health status on the use of physician services and on mortality in the working-age population.J Clin Epidemiol 1997;50:517-28.
Kwaśniewska M, Bielecki W, Drygas W. Sociodemographic and clinical determinants of quality of life in urban population of Poland.Cent Eur J Publ Health 2004;12(2):63-8.
Kwaśniewska M, Drygas W. Quality of life in patients with risk factors of coronary heart disease.Przegl Lek 2005;62(9):863-69 [in Polish]. [PubMed]
Broda G, Rywik S. Multi-Center All-Polish Health Survey — WOBASZ Project. Defining the problem and aims.Pol Popul Rev 2005;27:29-36.
Reeves MJ, Rafferty AP. Healthy lifestyle characteristics among adults in the United States, 2000.Arch Intern Med 2005;165(8):854-7.
National Heart, Lung, and Blood Institute, National Institutes of Health. Clinical Guidelines on Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: The Evidence Report. Bethesda, MD: National Heart, Lung, and Blood Institute; 1998.
US Department of Health and Human Services. National Cancer Institute's 5-A-Day Program. Available at: http://www.5aday.gov
US Department of Health and Human Services. Physical Activity and Health: A Report of the Surgeons General. Atlanta, GA: National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention; 1996.
Berrigan D, Dodd K, Troiano RP, Krebs-Smith SM, Barbash RB. Patterns of health behavior in U.S. adults.Prev Med 2003;36:615-23.
Ford ES, Ford MA, Will JC, Galuska DA, Ballew C. Achieving a healthy lifestyle among United States adults: a long way to go.Ethn Dis 2001;11:224-31.
Laaksonen M, Mcalister AL, Laatiainen T, Drygas W, Morava E, Nüssel E. Do health behaviour and psychosocial risk factors explain the European East-West health gap in health status?Eur J Publ Health 2001;11:65-73.
Kozakiewicz K, Tendera M, Piwoński J, Głuszek J, Wiercińska E, Bielecki W, et al. The socioeconomic factors and their variability in the population of Poland. Polish Heart J 205;63(Suppl IV):649-54 [in Polish].
Larsson U, Karlson J, Sullivan M. Impact of overweight and obesity on health-related quality of life — a Swedish population study.Int J Obes Relat Metab Disord 2002;26:417-24.
Drewnowski A, Evans WJ. Nutrition, physical activity, and quality of life in older adults: summary.J Gerontol A Biol Sci Med Sci 2001;56:89-94.
Kind P, Dolan P, Gudex C, Willaims A. Variations in population health status: results from a United Kingdom national questionnaire survey.BMJ 1998;316:736-41.
Burstrom K, Johanneson M, Diderichsen F. Swedish population health-related quality of life results using the EQ-5D.Qual Life Res 2001;10:62-5.
Nelson DE, Holtzman D, Bolen J, Stanwyck CA, Mack KA. Reliability and validity of measures in Behavioral Risk Factor Surveillance System (BRFSS).Soz Preventivmed 2001;46(Suppl 1):S3-S42.
Bielecki W, Dziankowska-Stachowiak E, Drygas W. Self-rated health and alcohol consumption: the findings of "Bridging East-West Health Gap" Project. Progress in Prevention and Treatment of Noncommunicable Diseases II. Łódź 2000: 53-61 [in Polish].
Volume 23 (2010)
Volume 22 (2009)
Volume 21 (2008)
Volume 20 (2007)
Most Downloaded Articles
- Consequences of sleep deprivation by Orzeł-Gryglewska, Jolanta
- Adverse Effects of Excessive Mobile Phone Use by Khan, Muhammad
- Self-Medication with Antibiotics in Jordanian Population by Al-Azzam, Sayer/ Al-Husein, Belal/ Alzoubi, Firas/ Masadeh, Majed and Al-Horani, "Mohammad Ali"
- Shift work and metabolic syndrome, diabetes mellitus and ischaemic heart disease by Szosland, Dorota
- The Role of School Organizational Climate in Occupational Stress among Secondary School Teachers in Tehran by Ahghar, Ghodsy
Lifestyle Index and Self-Rated Health Status
Department of Social and Preventive Medicine, Medical University of Łódź, Poland1
Department of Epidemiology, Cardiovascular Prevention and Health Promotion, Institute of Cardiology, Warszawa, Poland2
Department of Work Physiology and Ergonomics, Nofer Institute of Occupational Medicine, Łódź, Poland3
Medical University of Łódź, Poland4
This content is open access.
Citation Information: International Journal of Occupational Medicine and Environmental Health. Volume 20, Issue 4, Pages 349–356, ISSN (Online) 1896-494X, ISSN (Print) 1232-1087, DOI: 10.2478/v10001-007-0033-1, December 2007
- Published Online:
Lifestyle Index and Self-Rated Health Status
Objectives: The aim of the study was to analyze the influence of selected lifestyle factors on self-rated health status in working age population. Materials and Methods: The study population derived from the national Polish representative WOBASZ study. The sample consisted of 1222 randomly selected residents of two Polish districts, aged 20-64 years (52.3% women and 47.7% men). We analyzed four health-related behaviors as lifestyle factors that made up the lifestyle index: non-smoking, adequate fruit and vegetable intake, healthy weight, and sufficient physical activity. Logistic regression was used to estimate odds ratios and 95% confidence intervals to investigate the impact of lifestyle on self-rated health. Results: The findings revealed that 4.2, 17.6, 37 and 35.2% of women and 6.4, 19.9, 36.5 and 34.1% of men had the lifestyle index score of 0, 1, 2, 3 points, respectively. Only 6.1% of women and 3.1% of men met all the four criteria of a healthy lifestyle (score 4). Self-rated health was regarded as poor/fair, good or very good by 39.1, 54.3, 6.6% of women and 31.6, 60.7, 7.7% of men, respectively. Poor/fair self-rated health was strongly associated with obesity both in the male and female population. Among men with the lifestyle index score of 0 points, the risk of poor/fair self-rated health was 3.5 times as high (OR = 3.52; 95% CI: 1.36-9.12) as in men with the index score of 4. For women with the scores of 3, 2, 1, and 0, the risk of poor/fair self-rated health was nearly three (OR = 2.89; 95% CI: 1.5-5.56), four (OR = 3.61; 95% CI: 1.88-6.93), six (OR = 5.93; 95% CI: 2.88-12.21) and seven times (OR = 6.67; 95% CI: 1.97-22.51) as high as for those with the lifestyle index score of 4. Conclusions: There is a need for implementing more effective health promotion interventions in the society, with special regard to weight reduction programs.