2020
DOI: 10.1016/j.envint.2020.105868
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Social isolation and vulnerability to heatwave-related mortality in the urban elderly population: A time-series multi-community study in Korea

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Cited by 31 publications
(16 citation statements)
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“…This increase would pose additional societal challenges in the future, in particular for public health, because older adults are considered to be a population subgroup that is particularly susceptible to different environmental hazards, including heat and cold (Achebak et al 2019). This increased vulnerability to heat and cold can be explained by physiological differences in thermoregulation (Basu and Samet 2002), as well as housing (Kim et al 2019), prevalence of comorbidities (Bunker et al 2016;Schneider et al 2017), and social isolation, among others (Kim et al 2020;Son et al 2019). Projection studies published so far concluded that the trends in future burden attributed to nonoptimal temperatures are largely driven by the increase in the pool of susceptible population (i.e., population >65 y) (Chen et al 2020;Lee et al 2018;Lee and Kim 2016;Li et al 2016;Marsha et al 2018;Vardoulakis et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…This increase would pose additional societal challenges in the future, in particular for public health, because older adults are considered to be a population subgroup that is particularly susceptible to different environmental hazards, including heat and cold (Achebak et al 2019). This increased vulnerability to heat and cold can be explained by physiological differences in thermoregulation (Basu and Samet 2002), as well as housing (Kim et al 2019), prevalence of comorbidities (Bunker et al 2016;Schneider et al 2017), and social isolation, among others (Kim et al 2020;Son et al 2019). Projection studies published so far concluded that the trends in future burden attributed to nonoptimal temperatures are largely driven by the increase in the pool of susceptible population (i.e., population >65 y) (Chen et al 2020;Lee et al 2018;Lee and Kim 2016;Li et al 2016;Marsha et al 2018;Vardoulakis et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…However, the maximum RR for all‐cause heat‐related mortality was higher in rural areas of Korea compared to urban areas, although mortality significantly increased during heat waves in both settings and maximum RR in rural areas occurred at a higher temperature threshold (Kang et al, 2020). Heterogeneity in mortality risk within urban areas also exists, as elderly who were more socially isolated in urban areas in Korea were more likely to die during heatwaves than those with more social connections (Kim et al, 2020).…”
Section: Review Of the Recent Literaturementioning
confidence: 99%
“…As another standard, the red line in the middle of the graph indicates the median value of closeness centrality. The exposure sector includes the most significant number of nodes with both substantial 'evidence' and 'association' because the discussion of temperature is the basis of any heatrelated vulnerability assessment (Hammer et al, 2020;Kim et al, 2020;Liu et al, 2020). Another characteristic of the sector's indicators is the positive distribution of 'evidence' and 'association,' demographic and emissions show the same trend.…”
Section: Quantitative Analysis Of Nodes and Cause-effect Links In The...mentioning
confidence: 99%
“…Unlike urban structure, most of the effects of demography are directly related to other effect sectors. For example, different population distributions can have different economic effects (Hatvani-Kovacs et al, 2016) and magnitudes of impact on human health (Kim et al, 2020;Lim and Skidmore, 2020). Also, high population density hurts energy and emissions (Arshad et al, 2020;Núñez-Peiró et al, 2021).…”
Section: The Causality From Urban Factors To Their Impactsmentioning
confidence: 99%