印度尼西亚哮喘恶化:使用2018年印度尼西亚基础健康研究分析精神、社会人口、行为和生物学风险因素

Siti Isfandari, Sulistyowati Tuminah, Laurentia Konadi Miharja
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引用次数: 0

摘要

目的:哮喘是一项重大的全球健康负担,其恶化影响生活质量。虽然已经确定了哮喘恶化(AE)的危险因素,但印度尼西亚特有的数据仍然很少。我们调查了印尼青少年和成人发生AE的危险因素。方法:对2018年全国健康调查进行横断面分析,包括15岁及以上确诊哮喘的印度尼西亚参与者。采用Logistic回归分析确定AE的危险因素。结果:哮喘患病率为2.6%。在哮喘患者中,57.3%的人经历了加重,19.6%的人报告了情绪困扰(ED)的症状。ED和诊断心脏病(DHD)均与AE的发生率增加相关,调整后的优势比(aor)分别为1.27(95%可信区间[CI], 1.178 ~ 1.370)和1.21 (95% CI, 1.056 ~ 1.385)。15岁及以上被诊断为哮喘的aOR为1.56 (95% CI, 1.451 - 1.665)。社会经济地位较低的人也面临较高的风险(aOR, 1.37;95% CI, 1.230 ~ 1.523)。相反,体力活动与AE呈负相关(aOR, 0.72;95% CI, 0.642 ~ 0.813)。结论:ED、DHD、低SES和晚发性哮喘是AE的重要危险因素。这强调需要制定综合哮喘管理策略,优先考虑心理健康、心血管健康和早期干预。解决这些因素可以大大减轻印尼AE的负担。进一步的纵向研究是必要的,以阐明所涉及的因果关系和评估有针对性的干预措施的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asthma Exacerbation in Indonesia: Analysis of Mental, Socio-demographic, Behavioral, and Biological Risk Factors Using the 2018 Indonesian Basic Health Research.

Objectives: Asthma represents a significant global health burden, with exacerbations impacting quality of life. Although risk factors for asthma exacerbation (AE) have been identified, data specific to Indonesia remain scarce. We investigated risk factors for AE among Indonesian adolescents and adults.

Methods: A cross-sectional analysis of the 2018 National Health Survey was conducted, including Indonesian participants aged 15 and older with diagnosed asthma. Logistic regression was employed to identify risk factors for AE.

Results: A total respondents aged 15 years or older were 706 689 participants. The prevalence of asthma was 2.6% (18 574 participants). Among individuals with asthma, 59.7% experienced exacerbation, and 21.4% reported symptoms indicating emotional distress (ED). Both ED and diagnosed heart disease (DHD) were linked to increased odds of AE, with adjusted odds ratios (aORs) of 1.27 (95% confidence interval [CI], 1.18 to 1.37) and 1.21 (95% CI, 1.06 to 1.38), respectively. Being diagnosed with asthma at age 15 or older was associated with an aOR of 1.56 (95% CI, 1.45 to 1.66). Those with lower socioeconomic status (SES) also faced comparatively high risk (aOR, 1.37; 95% CI, 1.23 to 1.52). In contrast, physical activity was inversely related to AE (aOR, 0.72; 95% CI, 0.64 to 0.81).

Conclusions: ED, DHD, lower SES, and later-onset asthma were identified as significant risk factors for AE. This underscores the need for comprehensive asthma management strategies that prioritize mental health, cardiovascular health, and early intervention. Addressing these factors could substantially reduce the burden of AE in Indonesia. Further longitudinal studies are necessary to elucidate the causal relationships involved and evaluate the effectiveness of targeted interventions.

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