健康的社会决定因素及其与 3PM 背景下的次优健康状况的关系:潜在特征分析

IF 6.5 2区 医学 Q1 Medicine Epma Journal Pub Date : 2024-05-10 DOI:10.1007/s13167-024-00365-5
Lai Kun Tong, Yue Yi Li, Yong Bing Liu, Mu Rui Zheng, Guang Lei Fu, Mio Leng Au
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引用次数: 0

摘要

背景亚健康被认为是慢性疾病显现之前的一个可逆阶段,强调了早期检测和干预在预测、预防和个性化医疗(PPPM/3PM)中的重要性。虽然与亚健康相关的生物和遗传因素已受到广泛关注,但对健康的社会决定因素(SDH)的影响研究仍相对不足。通过全面了解影响亚健康的社会决定因素,医疗服务提供者可以针对个人需求定制干预措施,从而改善健康结果,促进向最佳健康状态过渡。本研究旨在识别SDH指标中的不同特征,并研究它们与亚健康状态的关联。本研究考察了家庭健康、经济状况、电子健康素养、精神障碍、社会支持、健康行为和睡眠质量等SDH指标。根据这些 SDH 指标,采用潜在特征分析来识别不同的特征。按特征进行的逻辑回归分析用于研究这些特征与亚健康状态之间的关联。潜在特征分析显示出三种不同的特征(流行率):承受不利负担的脆弱群体(37.6%)、逆境驱动的挣扎群体(11.7%)和优势复原群体(50.7%)。这些组别在亚健康状态方面存在明显差异(p < 0.001)。承受不利负担弱势组的亚健康风险最高,其次是逆境驱动奋斗组,而优势复原力组的风险最低。医疗服务提供者应将 SDH 评估纳入常规临床实践,以定制干预措施并满足特定需求。这项研究显示,在所有群体中,健康不达标风险最高的群体是最年轻的群体,这凸显了在 3PM 框架内采取早期干预和有针对性的预防策略的重要性。针对承受不利负担的弱势群体的干预措施应侧重于经济机会、医疗保健服务、健康食品选择和社会支持。利用他们较高的电子健康素养和资源能力,干预措施可增强逆境驱动型弱势群体的能力。通过解决医疗保健利用、药物使用和社会支持等问题,有针对性的干预措施可有效降低次优健康风险,改善弱势群体的福祉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Social determinants of health and their relation to suboptimal health status in the context of 3PM: a latent profile analysis

Background

Suboptimal health is identified as a reversible phase occurring before chronic diseases manifest, emphasizing the significance of early detection and intervention in predictive, preventive, and personalized medicine (PPPM/3PM). While the biological and genetic factors associated with suboptimal health have received considerable attention, the influence of social determinants of health (SDH) remains relatively understudied. By comprehensively understanding the SDH influencing suboptimal health, healthcare providers can tailor interventions to address individual needs, improving health outcomes and facilitating the transition to optimal well-being. This study aimed to identify distinct profiles within SDH indicators and examine their association with suboptimal health status.

Method

This cross-sectional study was conducted from June 16 to September 23, 2023, in five regions of China. Various SDH indicators, such as family health, economic status, eHealth literacy, mental disorder, social support, health behavior, and sleep quality, were examined in this study. Latent profile analysis was employed to identify distinct profiles based on these SDH indicators. Logistic regression analysis by profile was used to investigate the association between these profiles and suboptimal health status.

Results

The analysis included 4918 individuals. Latent profile analysis revealed three distinct profiles (prevalence): the Adversely Burdened Vulnerability Group (37.6%), the Adversity-Driven Struggle Group (11.7%), and the Advantaged Resilience Group (50.7%). These profiles exhibited significant differences in suboptimal health status (p < 0.001). The Adversely Burdened Vulnerability Group had the highest risk of suboptimal health, followed by the Adversity-Driven Struggle Group, while the Advantaged Resilience Group had the lowest risk.

Conclusions and relevance

Distinct profiles based on SDH indicators are associated with suboptimal health status. Healthcare providers should integrate SDH assessment into routine clinical practice to customize interventions and address specific needs. This study reveals that the group with the highest risk of suboptimal health stands out as the youngest among all the groups, underscoring the critical importance of early intervention and targeted prevention strategies within the framework of 3PM. Tailored interventions for the Adversely Burdened Vulnerability Group should focus on economic opportunities, healthcare access, healthy food options, and social support. Leveraging their higher eHealth literacy and resourcefulness, interventions empower the Adversity-Driven Struggle Group. By addressing healthcare utilization, substance use, and social support, targeted interventions effectively reduce suboptimal health risks and improve well-being in vulnerable populations.

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来源期刊
Epma Journal
Epma Journal Medicine-Biochemistry (medical)
CiteScore
11.30
自引率
23.10%
发文量
0
期刊介绍: PMA Journal is a journal of predictive, preventive and personalized medicine (PPPM). The journal provides expert viewpoints and research on medical innovations and advanced healthcare using predictive diagnostics, targeted preventive measures and personalized patient treatments. The journal is indexed by PubMed, Embase and Scopus.
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