■次优健康被确定为在慢性疾病显现之前发生的可逆阶段,强调早期发现和干预在预测中的重要性,预防性,和个性化医疗(PPPM/3PM)。虽然与健康欠佳相关的生物和遗传因素受到了相当大的关注,健康的社会决定因素(SDH)的影响仍然相对不足。通过全面了解影响次优健康的SDH,医疗保健提供者可以定制干预措施来满足个人需求,改善健康结果,促进向最佳福祉的过渡。这项研究旨在确定SDH指标中的不同概况,并检查它们与次优健康状况的关联。
■这项横断面研究于2023年6月16日至9月23日在中国的五个地区进行。各种SDH指标,比如家庭健康,经济地位,电子健康素养,精神障碍,社会支持,健康行为,睡眠质量,在这项研究中进行了检查。基于这些SDH指标,采用潜在谱分析来识别不同的概况。使用按配置文件的Logistic回归分析来研究这些配置文件与次优健康状况之间的关联。
■分析包括4918个人。潜在概况分析显示了三个不同的概况(患病率):负重担的脆弱性组(37.6%),逆境驱动的斗争小组(11.7%),和优势弹性集团(50.7%)。这些概况在次优健康状况方面表现出显著差异(p<0.001)。负担不利的脆弱群体健康欠佳的风险最高,其次是逆境驱动的斗争小组,而优势弹性组的风险最低。
■基于SDH指标的不同配置文件与次优健康状态相关联。医疗保健提供者应将SDH评估整合到常规临床实践中,以定制干预措施并满足特定需求。这项研究表明,健康欠佳风险最高的群体是所有群体中最年轻的,强调在下午3点的框架内早期干预和有针对性的预防策略的至关重要性。为负不利负担的脆弱群体量身定制的干预措施应侧重于经济机会,医疗保健访问,健康的食物选择,和社会支持。利用他们更高的电子健康素养和机智,干预措施赋予逆境驱动的斗争小组权力。通过解决医疗保健利用问题,物质使用,社会支持,有针对性的干预措施有效地降低了不良健康风险,并改善了弱势群体的福祉。
■在线版本包含补充材料,可在10.1007/s13167-024-00365-5获得。
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s13167-024-00365-5.