Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020
| dc.contributor.author | Shrikhande, Shreya S | |
| dc.contributor.author | Pedder, Hugo | |
| dc.contributor.author | Röösli, Martin | |
| dc.contributor.author | Dalvie, Mohammad A | |
| dc.contributor.author | Lakshmanasamy, Ravivarman | |
| dc.contributor.author | Gasparrini, Antonio | |
| dc.contributor.author | Utzinger, Jürg | |
| dc.contributor.author | Cissé, Guéladio | |
| dc.date.accessioned | 2023-03-10T06:23:52Z | |
| dc.date.available | 2023-03-10T06:23:52Z | |
| dc.date.issued | 2023-02-08 | |
| dc.date.updated | 2023-02-12T04:18:18Z | |
| dc.description.abstract | Background Cardiovascular diseases (CVDs), the leading cause of death worldwide, are sensitive to temperature. In light of the reported climate change trends, it is important to understand the burden of CVDs attributable to temperature, both hot and cold. The association between CVDs and temperature is region-specific, with relatively few studies focusing on low-and middle-income countries. This study investigates this association in Puducherry, a district in southern India lying on the Bay of Bengal, for the first time. Methods Using in-hospital CVD mortality data and climate data from the Indian Meteorological Department, we analyzed the association between apparent temperature (Tapp) and in-hospital CVD mortalities in Puducherry between 2011 and 2020. We used a case-crossover model with a binomial likelihood distribution combined with a distributed lag non-linear model to capture the delayed and non-linear trends over a 21-day lag period to identify the optimal temperature range for Puducherry. The results are expressed as the fraction of CVD mortalities attributable to heat and cold, defined relative to the optimal temperature. We also performed stratified analyses to explore the associations between Tapp and age-and-sex, grouped and considered together, and different types of CVDs. Sensitivity analyses were performed, including using a quasi-Poisson time-series approach. Results We found that the optimal temperature range for Puducherry is between 30°C and 36°C with respect to CVDs. Both cold and hot non-optimal Tapp were associated with an increased risk of overall in-hospital CVD mortalities, resulting in a U-shaped association curve. Cumulatively, up to 17% of the CVD deaths could be attributable to non-optimal temperatures, with a slightly higher burden attributable to heat (9.1%) than cold (8.3%). We also found that males were more vulnerable to colder temperature; females above 60 years were more vulnerable to heat while females below 60 years were affected by both heat and cold. Mortality with cerebrovascular accidents was associated more with heat compared to cold, while ischemic heart diseases did not seem to be affected by temperature. Conclusion Both heat and cold contribute to the burden of CVDs attributable to non-optimal temperatures in the tropical Puducherry. Our study also identified the age-and-sex and CVD type differences in temperature attributable CVD mortalities. Further studies from India could identify regional associations, inform our understanding of the health implications of climate change in India and enhance the development of regional and contextual climate-health action-plans. | en_US |
| dc.identifier.apacitation | Shrikhande, S. S., Pedder, H., Röösli, M., Dalvie, M. A., Lakshmanasamy, R., Gasparrini, A., ... Cissé, G. (2023). Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020. <i>BMC Public Health</i>, 23(1), 291. http://hdl.handle.net/11427/37347 | en_ZA |
| dc.identifier.chicagocitation | Shrikhande, Shreya S, Hugo Pedder, Martin Röösli, Mohammad A Dalvie, Ravivarman Lakshmanasamy, Antonio Gasparrini, Jürg Utzinger, and Guéladio Cissé "Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020." <i>BMC Public Health</i> 23, 1. (2023): 291. http://hdl.handle.net/11427/37347 | en_ZA |
| dc.identifier.citation | Shrikhande, S.S., Pedder, H., Röösli, M., Dalvie, M.A., Lakshmanasamy, R., Gasparrini, A., Utzinger, J. & Cissé, G. et al. 2023. Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020. <i>BMC Public Health.</i> 23(1):291. http://hdl.handle.net/11427/37347 | en_ZA |
| dc.identifier.ris | TY - Journal Article AU - Shrikhande, Shreya S AU - Pedder, Hugo AU - Röösli, Martin AU - Dalvie, Mohammad A AU - Lakshmanasamy, Ravivarman AU - Gasparrini, Antonio AU - Utzinger, Jürg AU - Cissé, Guéladio AB - Background Cardiovascular diseases (CVDs), the leading cause of death worldwide, are sensitive to temperature. In light of the reported climate change trends, it is important to understand the burden of CVDs attributable to temperature, both hot and cold. The association between CVDs and temperature is region-specific, with relatively few studies focusing on low-and middle-income countries. This study investigates this association in Puducherry, a district in southern India lying on the Bay of Bengal, for the first time. Methods Using in-hospital CVD mortality data and climate data from the Indian Meteorological Department, we analyzed the association between apparent temperature (Tapp) and in-hospital CVD mortalities in Puducherry between 2011 and 2020. We used a case-crossover model with a binomial likelihood distribution combined with a distributed lag non-linear model to capture the delayed and non-linear trends over a 21-day lag period to identify the optimal temperature range for Puducherry. The results are expressed as the fraction of CVD mortalities attributable to heat and cold, defined relative to the optimal temperature. We also performed stratified analyses to explore the associations between Tapp and age-and-sex, grouped and considered together, and different types of CVDs. Sensitivity analyses were performed, including using a quasi-Poisson time-series approach. Results We found that the optimal temperature range for Puducherry is between 30°C and 36°C with respect to CVDs. Both cold and hot non-optimal Tapp were associated with an increased risk of overall in-hospital CVD mortalities, resulting in a U-shaped association curve. Cumulatively, up to 17% of the CVD deaths could be attributable to non-optimal temperatures, with a slightly higher burden attributable to heat (9.1%) than cold (8.3%). We also found that males were more vulnerable to colder temperature; females above 60 years were more vulnerable to heat while females below 60 years were affected by both heat and cold. Mortality with cerebrovascular accidents was associated more with heat compared to cold, while ischemic heart diseases did not seem to be affected by temperature. Conclusion Both heat and cold contribute to the burden of CVDs attributable to non-optimal temperatures in the tropical Puducherry. Our study also identified the age-and-sex and CVD type differences in temperature attributable CVD mortalities. Further studies from India could identify regional associations, inform our understanding of the health implications of climate change in India and enhance the development of regional and contextual climate-health action-plans. DA - 2023-02-08 DB - OpenUCT DP - University of Cape Town IS - 1 J1 - BMC Public Health KW - Climate change KW - Temperature KW - Cardiovascular disease KW - LMIC KW - Adaptation KW - Modelling KW - India KW - Puducherry LK - https://open.uct.ac.za PY - 2023 T1 - Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 TI - Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 UR - http://hdl.handle.net/11427/37347 ER - | en_ZA |
| dc.identifier.uri | https://doi.org/10.1186/s12889-023-15128-6 | |
| dc.identifier.uri | http://hdl.handle.net/11427/37347 | |
| dc.identifier.vancouvercitation | Shrikhande SS, Pedder H, Röösli M, Dalvie MA, Lakshmanasamy R, Gasparrini A, et al. Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020. BMC Public Health. 2023;23(1):291. http://hdl.handle.net/11427/37347. | en_ZA |
| dc.language.iso | en | en_US |
| dc.language.rfc3066 | en | |
| dc.publisher.department | Department of Public Health and Family Medicine | en_US |
| dc.publisher.faculty | Faculty of Health Sciences | en_US |
| dc.rights.holder | The Author(s) | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | BMC Public Health | en_US |
| dc.source.journalissue | 1 | en_US |
| dc.source.journalvolume | 23 | en_US |
| dc.source.pagination | 291 | en_US |
| dc.source.uri | https://bmcpublichealth.biomedcentral.com/ | |
| dc.subject | Climate change | en_US |
| dc.subject | Temperature | en_US |
| dc.subject | Cardiovascular disease | en_US |
| dc.subject | LMIC | en_US |
| dc.subject | Adaptation | en_US |
| dc.subject | Modelling | en_US |
| dc.subject | India | en_US |
| dc.subject | Puducherry | en_US |
| dc.title | Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 | en_US |
| dc.type | Journal Article | en_US |