Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64
Background: Premature deaths constitute 31.1% of all deaths in Łódź. Analysis of the causes of premature deaths may be helpful in the evaluation of health risk factors. Moreover, findings of this study may enhance prophylactic measures. Material and Methods: In 2001, 1857 randomly selected citizens,...
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| Format: | Article |
| Language: | English |
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Nofer Institute of Occupational Medicine
2013-10-01
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| Series: | International Journal of Occupational Medicine and Environmental Health |
| Subjects: | |
| Online Access: | http://ijomeh.eu/Determinants-of-premature-mortality-in-a-city-population-an-eight-year-observational-study-concerning-subjects-aged-18-64,2150,0,2.html |
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| author | Irena Maniecka-Bryła Elżbieta Dziankowska-Zaborszczyk Marek Bryła Wojciech Drygas |
| author_facet | Irena Maniecka-Bryła Elżbieta Dziankowska-Zaborszczyk Marek Bryła Wojciech Drygas |
| author_sort | Irena Maniecka-Bryła |
| collection | DOAJ |
| description | Background: Premature deaths constitute 31.1% of all deaths in Łódź. Analysis of the causes of premature deaths may be helpful in the evaluation of health risk factors. Moreover, findings of this study may enhance prophylactic measures. Material and Methods: In 2001, 1857 randomly selected citizens, aged 18-64, were included in the Countrywide Integrated Noncommunicable Diseases Intervention (CINDI) Programme. In 2009, a follow-up study was conducted and information on the subjects of the study was collected concerning their health status and if they continued to live in Łódź. The Cox proportional hazards model was used for evaluation of hazard coefficients. We adjusted our calculations for age and sex. The analysis revealed statistically significant associations between the number of premature deaths of the citizens of Łódź and the following variables: a negative self-evaluation of health - HR = 3.096 (95% CI: 1.729-5.543), poor financial situation - HR = 2.811 (95% CI: 1.183‑6.672), occurring in the year preceding the study: coronary pain - HR = 2.754 (95% CI: 1.167-6.494), depression - HR = 2.001 (95% CI: 1.222-3.277) and insomnia - HR = 1.660 (95% CI: 1.029-2.678). Our research study also found a negative influence of smoking on the health status - HR = 2.782 (95% CI: 1.581-4.891). Moreover, we conducted survival analyses according to sex and age with Kaplan-Meier curves. Conclusions: The risk factors leading to premature deaths were found to be highly significant but possible to reduce by modifying lifestyle-related health behaviours. The confirmed determinants of premature mortality indicate a need to spread and intensify prophylactic activities in Poland, which is a post-communist country, in particular, in the field of cardiovascular diseases. |
| first_indexed | 2024-04-12T22:49:33Z |
| format | Article |
| id | doaj.art-cce68ddf48ed4c7e8cbdff1eb6ee786b |
| institution | Directory Open Access Journal |
| issn | 1232-1087 1896-494X |
| language | English |
| last_indexed | 2024-04-12T22:49:33Z |
| publishDate | 2013-10-01 |
| publisher | Nofer Institute of Occupational Medicine |
| record_format | Article |
| series | International Journal of Occupational Medicine and Environmental Health |
| spelling | doaj.art-cce68ddf48ed4c7e8cbdff1eb6ee786b2022-12-22T03:13:25ZengNofer Institute of Occupational MedicineInternational Journal of Occupational Medicine and Environmental Health1232-10871896-494X2013-10-0126572474110.2478/s13382-013-0154-7Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64Irena Maniecka-BryłaElżbieta Dziankowska-ZaborszczykMarek BryłaWojciech DrygasBackground: Premature deaths constitute 31.1% of all deaths in Łódź. Analysis of the causes of premature deaths may be helpful in the evaluation of health risk factors. Moreover, findings of this study may enhance prophylactic measures. Material and Methods: In 2001, 1857 randomly selected citizens, aged 18-64, were included in the Countrywide Integrated Noncommunicable Diseases Intervention (CINDI) Programme. In 2009, a follow-up study was conducted and information on the subjects of the study was collected concerning their health status and if they continued to live in Łódź. The Cox proportional hazards model was used for evaluation of hazard coefficients. We adjusted our calculations for age and sex. The analysis revealed statistically significant associations between the number of premature deaths of the citizens of Łódź and the following variables: a negative self-evaluation of health - HR = 3.096 (95% CI: 1.729-5.543), poor financial situation - HR = 2.811 (95% CI: 1.183‑6.672), occurring in the year preceding the study: coronary pain - HR = 2.754 (95% CI: 1.167-6.494), depression - HR = 2.001 (95% CI: 1.222-3.277) and insomnia - HR = 1.660 (95% CI: 1.029-2.678). Our research study also found a negative influence of smoking on the health status - HR = 2.782 (95% CI: 1.581-4.891). Moreover, we conducted survival analyses according to sex and age with Kaplan-Meier curves. Conclusions: The risk factors leading to premature deaths were found to be highly significant but possible to reduce by modifying lifestyle-related health behaviours. The confirmed determinants of premature mortality indicate a need to spread and intensify prophylactic activities in Poland, which is a post-communist country, in particular, in the field of cardiovascular diseases.http://ijomeh.eu/Determinants-of-premature-mortality-in-a-city-population-an-eight-year-observational-study-concerning-subjects-aged-18-64,2150,0,2.htmlpremature mortalitysurvival analysiscox proportional hazards modelPoland |
| spellingShingle | Irena Maniecka-Bryła Elżbieta Dziankowska-Zaborszczyk Marek Bryła Wojciech Drygas Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64 International Journal of Occupational Medicine and Environmental Health premature mortality survival analysis cox proportional hazards model Poland |
| title | Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64 |
| title_full | Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64 |
| title_fullStr | Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64 |
| title_full_unstemmed | Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64 |
| title_short | Determinants of premature mortality in a city population: An eight-year observational study concerning subjects aged 18–64 |
| title_sort | determinants of premature mortality in a city population an eight year observational study concerning subjects aged 18 64 |
| topic | premature mortality survival analysis cox proportional hazards model Poland |
| url | http://ijomeh.eu/Determinants-of-premature-mortality-in-a-city-population-an-eight-year-observational-study-concerning-subjects-aged-18-64,2150,0,2.html |
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