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Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study

OBJECTIVE: To describe patterns and predictors of mortality in a semi-urban population in Sri Lanka. DESIGN: A prospective population-based cohort study. SETTING: Ragama Medical Officer of Health area in the Gampaha district, Sri Lanka. PARTICIPANTS: Adults between 35 and 64 years of age were recrui...

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Autores principales: Kasturiratne, Anuradhani, Ediriweera, Dileepa Senajith, De Silva, Shamila Thivanshi, Niriella, Madunil Anuk, Thulani, Uthuru Beddage, Pathmeswaran, Arunasalam, Dassanayake, Anuradha Supun, De Silva, Arjuna Priyadarsin, Chackrewarthy, Sureka, Ranawaka, Udaya, Kato, Norihiro, Wickremasinghe, Ananda Rajitha, de Silva, Hithanadura Janaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526314/
https://www.ncbi.nlm.nih.gov/pubmed/32994253
http://dx.doi.org/10.1136/bmjopen-2020-038772
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author Kasturiratne, Anuradhani
Ediriweera, Dileepa Senajith
De Silva, Shamila Thivanshi
Niriella, Madunil Anuk
Thulani, Uthuru Beddage
Pathmeswaran, Arunasalam
Dassanayake, Anuradha Supun
De Silva, Arjuna Priyadarsin
Chackrewarthy, Sureka
Ranawaka, Udaya
Kato, Norihiro
Wickremasinghe, Ananda Rajitha
de Silva, Hithanadura Janaka
author_facet Kasturiratne, Anuradhani
Ediriweera, Dileepa Senajith
De Silva, Shamila Thivanshi
Niriella, Madunil Anuk
Thulani, Uthuru Beddage
Pathmeswaran, Arunasalam
Dassanayake, Anuradha Supun
De Silva, Arjuna Priyadarsin
Chackrewarthy, Sureka
Ranawaka, Udaya
Kato, Norihiro
Wickremasinghe, Ananda Rajitha
de Silva, Hithanadura Janaka
author_sort Kasturiratne, Anuradhani
collection PubMed
description OBJECTIVE: To describe patterns and predictors of mortality in a semi-urban population in Sri Lanka. DESIGN: A prospective population-based cohort study. SETTING: Ragama Medical Officer of Health area in the Gampaha district, Sri Lanka. PARTICIPANTS: Adults between 35 and 64 years of age were recruited using an age stratified random sampling technique in 2007. MEASURES: At baseline, we recorded socio-demographic, lifestyle, anthropometric, biochemical and clinical data of the participants. Over 10 years, we obtained the cause and date of death from the death registration documents of deceased participants. We determined the survival probability of the cohort over 10 years and estimated Hazard ratios (HRs) for all-cause mortality (ACM), cardiovascular mortality (CVM) and cancer-related mortality (CRM) using Cox’s proportional hazards model. We also estimated the survival probabilities for men and women in each 10-year age group and standardised mortality ratio relative to the source population. RESULTS: There were 169 deaths over 10 years with standardised mortality rates of 5.3 and 2.4 per 1000 years of follow-up for men and women, respectively. Independent predictors of: ACM were older age, lower income, smoking and diabetes mellitus while gender, education, occupation, harmful alcohol use, waist circumference and hypertension were not; CVM were older age, lower income, smoking, diabetes and hypertension while gender and harmful alcohol use were not; CRM was older age while gender, smoking and diabetes were not. Those engaged in clerical and technical occupations or unemployed had a lower risk of CRM as compared with those engaged in elementary occupations. CONCLUSIONS: Older age, lower income, smoking, diabetes and hypertension strongly predict mortality in this cohort. Addressing the identified modifiable predictors through behavioural modification will improve longevity in similar populations.
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spelling pubmed-75263142020-10-19 Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study Kasturiratne, Anuradhani Ediriweera, Dileepa Senajith De Silva, Shamila Thivanshi Niriella, Madunil Anuk Thulani, Uthuru Beddage Pathmeswaran, Arunasalam Dassanayake, Anuradha Supun De Silva, Arjuna Priyadarsin Chackrewarthy, Sureka Ranawaka, Udaya Kato, Norihiro Wickremasinghe, Ananda Rajitha de Silva, Hithanadura Janaka BMJ Open Public Health OBJECTIVE: To describe patterns and predictors of mortality in a semi-urban population in Sri Lanka. DESIGN: A prospective population-based cohort study. SETTING: Ragama Medical Officer of Health area in the Gampaha district, Sri Lanka. PARTICIPANTS: Adults between 35 and 64 years of age were recruited using an age stratified random sampling technique in 2007. MEASURES: At baseline, we recorded socio-demographic, lifestyle, anthropometric, biochemical and clinical data of the participants. Over 10 years, we obtained the cause and date of death from the death registration documents of deceased participants. We determined the survival probability of the cohort over 10 years and estimated Hazard ratios (HRs) for all-cause mortality (ACM), cardiovascular mortality (CVM) and cancer-related mortality (CRM) using Cox’s proportional hazards model. We also estimated the survival probabilities for men and women in each 10-year age group and standardised mortality ratio relative to the source population. RESULTS: There were 169 deaths over 10 years with standardised mortality rates of 5.3 and 2.4 per 1000 years of follow-up for men and women, respectively. Independent predictors of: ACM were older age, lower income, smoking and diabetes mellitus while gender, education, occupation, harmful alcohol use, waist circumference and hypertension were not; CVM were older age, lower income, smoking, diabetes and hypertension while gender and harmful alcohol use were not; CRM was older age while gender, smoking and diabetes were not. Those engaged in clerical and technical occupations or unemployed had a lower risk of CRM as compared with those engaged in elementary occupations. CONCLUSIONS: Older age, lower income, smoking, diabetes and hypertension strongly predict mortality in this cohort. Addressing the identified modifiable predictors through behavioural modification will improve longevity in similar populations. BMJ Publishing Group 2020-09-29 /pmc/articles/PMC7526314/ /pubmed/32994253 http://dx.doi.org/10.1136/bmjopen-2020-038772 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Kasturiratne, Anuradhani
Ediriweera, Dileepa Senajith
De Silva, Shamila Thivanshi
Niriella, Madunil Anuk
Thulani, Uthuru Beddage
Pathmeswaran, Arunasalam
Dassanayake, Anuradha Supun
De Silva, Arjuna Priyadarsin
Chackrewarthy, Sureka
Ranawaka, Udaya
Kato, Norihiro
Wickremasinghe, Ananda Rajitha
de Silva, Hithanadura Janaka
Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study
title Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study
title_full Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study
title_fullStr Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study
title_full_unstemmed Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study
title_short Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study
title_sort patterns and predictors of mortality in a semi-urban population-based cohort in sri lanka: findings from the ragama health study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526314/
https://www.ncbi.nlm.nih.gov/pubmed/32994253
http://dx.doi.org/10.1136/bmjopen-2020-038772
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