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对地方政治家的信任与死亡率:一项基于人群的前瞻性队列研究。

Trust in regional politicians and mortality: A population-based prospective cohort study.

作者信息

Lindström Martin, Pirouzifard Mirnabi

机构信息

Social Medicine and Health Policy, Department of Clinical Sciences and Centre for Primary Health Care Research, Lund University, S-205 02 Malmö, Sweden.

出版信息

Prev Med Rep. 2023 Apr 1;33:102189. doi: 10.1016/j.pmedr.2023.102189. eCollection 2023 Jun.

DOI:10.1016/j.pmedr.2023.102189
PMID:37223564
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10201861/
Abstract

The aim was to study associations between trust in regional politicians responsible for the healthcare system and mortality in survival analyses. A public health survey in southern Sweden with a 54.1% response rate based on a postal questionnaire and three postal reminders was conducted in 2008. The baseline survey was linked to 8.3-year follow-up all-cause, cardiovascular (CVD), cancer and other causes mortality register data. The present prospective cohort study includes 24,699 respondents. Relevant covariates/confounders from the baseline questionnaire were included in the multi-adjusted models. Hazard rate ratios (HRRs) of all-cause mortality were consistently lower for the rather high trust and not particularly high trust respondent categories compared to the very high trust reference category. CVD, cancer and other causes mortality did not display statistically significant results, but all contributed to the significant patterns for all-cause mortality. In some political and administrative settings with longer queueing times for investigation and treatment of some medical conditions including some cancer and CVD diagnoses than officially affirmed, rather high and not particularly high trust in politicians responsible for the healthcare system may be associated with lower mortality compared to the very high trust group.

摘要

目的是在生存分析中研究对负责医疗保健系统的地区政治家的信任与死亡率之间的关联。2008年在瑞典南部进行了一项基于邮政问卷和三次邮政催复函的公共卫生调查,回复率为54.1%。基线调查与8.3年的全因、心血管疾病(CVD)、癌症及其他原因死亡率登记数据随访相关联。本前瞻性队列研究包括24,699名受访者。基线问卷中的相关协变量/混杂因素被纳入多变量调整模型。与极高信任度的参照类别相比,相当高信任度和并非特别高信任度的受访者类别全因死亡率的风险率比(HRR)始终较低。CVD、癌症及其他原因死亡率未显示出具有统计学意义的结果,但均对全因死亡率的显著模式有影响。在一些政治和行政环境中,包括某些癌症和CVD诊断在内的一些医疗状况的调查和治疗排队时间比官方确认的更长,与极高信任度组相比,对负责医疗保健系统的政治家有相当高和并非特别高的信任度可能与较低的死亡率相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c2/10201861/1e0edfb963b9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c2/10201861/1e0edfb963b9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3c2/10201861/1e0edfb963b9/gr1.jpg

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本文引用的文献

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Uncooperative society, uncooperative politics or both? Trust, polarization, populism and COVID-19 deaths across European regions.不合作的社会、不合作的政治还是两者皆有?欧洲各地区的信任、两极分化、民粹主义与新冠死亡病例
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