期刊论文详细信息
BMC Public Health
Differences in county-level cardiovascular disease mortality rates due to damage caused by hurricane Matthew and the moderating effect of social capital: a natural experiment
Research
Zachary H. McCann1  Magdalena Szaflarski2 
[1] Department of Environmental Health, Rollins School of Public Health-Emory University, Atlanta, Georgia;Department of Sociology, University of Alabama at Birmingham, Birmingham, AL, United States;
关键词: Natural Hazard;    Climate change;    Cardiovascular disease;    Social capital;    Hurricane;    Mortality;    Regression adjustment;    Population health;   
DOI  :  10.1186/s12889-022-14919-7
 received in 2022-05-03, accepted in 2022-12-21,  发布年份 2022
来源: Springer
PDF
【 摘 要 】

BackgroundAs the climate continues to warm, hurricanes will continue to increase in both severity and frequency. Hurricane damage is associated with cardiovascular events, but social capital may moderate this relationship. Social capital is a multidimensional concept with a rich theoretical tradition. Simply put, social capital refers to the social relationships and structures that provide individuals with material, financial, and emotional resources throughout their lives. Previous research has found an association between high levels of social capital and lower rates of cardiovascular (CVD) mortality. In post-disaster settings, social capital may protect against CVD mortality by improving access to life-saving resources. We examined the association between county-level hurricane damage and CVD mortality rates after Hurricane Matthew, and the moderating effect of several aspects of social capital and hurricane damage on this relationship. We hypothesized that (1) higher (vs. lower) levels of hurricane damage would be associated with increased CVD mortality rates and (2) in highly damaged counties, higher (vs. lower) levels of social capital would be associated with lower CVD mortality.MethodsAnalysis used yearly (2013-2018) county-level sociodemographic and epidemiological data (n = 183). Sociodemographic data were compiled from federal surveys before and after Hurricane Matthew to construct, per prior literature, a social capital index based on four dimensions of social capital (sub-indices): family unity, informal civil society, institutional confidence, and collective efficacy. Epidemiological data comprised monthly CVD mortality rates constructed from monthly county-level CVD death counts from the CDC WONDER database and the US Census population estimates. Changes in CVD mortality based on level of hurricane damage were assessed using regression adjustment. We used cluster robust Poisson population average models to determine the moderating effect of social capital on CVD mortality rates in both high and low-damage counties.ResultsWe found that mean levels of CVD mortality increased (before and after adjustment for sociodemographic controls) in both low-damage counties (unadjusted. Mean = 2.50, 95% CI [2.41, 2.59], adjusted mean = 2.50, 95% CI [2.40, 2.72]) and high-damage counties (mean = 2.44, CI [2.29, 2.46], adj. Mean = 2.51, 95% CI [2.49, 2.84]). Among the different social capital dimensions, institutional confidence was associated with reduced initial CVD mortality in low-damage counties (unadj. IRR 1.00, 95% CI [0.90, 1.11], adj. IRR 0.91 CI [0.87, 0.94]), but its association with CVD mortality trends was null. The overall effects of social capital and its sub-indices were largely nonsignificant.Conclusion Hurricane damage is associated with increased CVD mortality for 18 months after Hurricane Matthew. The role of social capital remains unclear. Future research should focus on improving measurement of social capital and quality of hurricane damage and CVD mortality data.

【 授权许可】

CC BY   
© The Author(s) 2023

【 预 览 】
附件列表
Files Size Format View
RO202305119907098ZK.pdf 2495KB PDF download
MediaObjects/41408_2022_771_MOESM4_ESM.tif 1492KB Other download
MediaObjects/13046_2022_2514_MOESM7_ESM.pdf 12623KB PDF download
MediaObjects/40360_2023_642_MOESM1_ESM.xlsx 13KB Other download
MediaObjects/40360_2023_642_MOESM2_ESM.xlsx 28KB Other download
MediaObjects/12888_2022_4438_MOESM2_ESM.jpg 501KB Other download
【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  • [46]
  • [47]
  • [48]
  • [49]
  • [50]
  • [51]
  • [52]
  • [53]
  • [54]
  • [55]
  • [56]
  • [57]
  • [58]
  • [59]
  • [60]
  • [61]
  • [62]
  • [63]
  • [64]
  • [65]
  • [66]
  • [67]
  • [68]
  • [69]
  • [70]
  • [71]
  • [72]
  • [73]
  • [74]
  • [75]
  • [76]
  • [77]
  • [78]
  • [79]
  • [80]
  • [81]
  • [82]
  • [83]
  • [84]
  • [85]
  • [86]
  • [87]
  • [88]
  • [89]
  • [90]
  • [91]
  • [92]
  • [93]
  • [94]
  • [95]
  • [96]
  • [97]
  • [98]
  • [99]
  • [100]
  • [101]
  • [102]
  • [103]
  • [104]
  • [105]
  • [106]
  文献评价指标  
  下载次数:3次 浏览次数:0次