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Background <p>Social Determinants of Health (SDOH) influences healthcare access, especially in patients with chronic diseases. However, SDOHs were often investigated as single variables. Combination patterns and joint effects of multiple SDOHs are much understudied. This study seeks to identify SDOH patterns in the US general population and their influence in all-cause and specific mortality.</p> Methods <p>This study included US adults aged 18 to 79 from 2002 to 2018 National Health Interview Survey (NHIS) and NHIS Linked Mortality Files. 12 SDOHs from 5 domains (healthcare access, education and literacy, economic stability, social isolation, neighborhood cohesion) were selected and binarized from the NHIS, including: material, psychological, and behavioral medical financial hardship, delayed care due to transportation and due to non-transportation factors, education, employment, food security, income, housing security, marital status, and neighborhood cohesion. Key outcomes, including all-cause, cancer-specific mortality, and cardiovascular disease-specific death were identified at quarter and year of death.</p> Results <p>From the 105,824 younger adults (18–64 years), and the 23,825 older adults (65–79 years), five distinct SDOH patterns were identified: pattern 1 (31%, few barriers); 2 (20%, unmarried); 3 (17%, unemployed); 4 (15%, both unmarried and unemployed); and 5 (16%, with relatively high rate of non-married status, housing insecurity, and material, psychological, or behavioral medical financial hardships). Compared to pattern 1, pattern 4 and 5 had worse prognosis in all mortality outcomes in both age groups, including all-cause mortality, cancer-specific mortality, and cardiovascular disease-specific mortality in both age groups.</p> Conclusions <p>In this study, we found that SDOHs could be clustered into five distinct patterns. Patients who were unmarried and unemployed (pattern 4) or with multiple concurrent adverse SDOHs (pattern 5) had poorest key health outcomes. These findings support comprehensive screening for SDOH profiles to understand cumulative influences of SDOHs on quality of life and clinical outcomes of patients with chronic medical conditions.</p>

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Social determinant of health patterns and mortality outcomes in US adults

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月14日

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  • Fangyuan Chen,
  • Ryan D. Nipp,
  • Xuesong Han,
  • Zhiyuan Zheng,
  • Tianci Wang,
  • K. Robin Yabroff,
  • Changchuan Jiang

摘要

Background

Social Determinants of Health (SDOH) influences healthcare access, especially in patients with chronic diseases. However, SDOHs were often investigated as single variables. Combination patterns and joint effects of multiple SDOHs are much understudied. This study seeks to identify SDOH patterns in the US general population and their influence in all-cause and specific mortality.

Methods

This study included US adults aged 18 to 79 from 2002 to 2018 National Health Interview Survey (NHIS) and NHIS Linked Mortality Files. 12 SDOHs from 5 domains (healthcare access, education and literacy, economic stability, social isolation, neighborhood cohesion) were selected and binarized from the NHIS, including: material, psychological, and behavioral medical financial hardship, delayed care due to transportation and due to non-transportation factors, education, employment, food security, income, housing security, marital status, and neighborhood cohesion. Key outcomes, including all-cause, cancer-specific mortality, and cardiovascular disease-specific death were identified at quarter and year of death.

Results

From the 105,824 younger adults (18–64 years), and the 23,825 older adults (65–79 years), five distinct SDOH patterns were identified: pattern 1 (31%, few barriers); 2 (20%, unmarried); 3 (17%, unemployed); 4 (15%, both unmarried and unemployed); and 5 (16%, with relatively high rate of non-married status, housing insecurity, and material, psychological, or behavioral medical financial hardships). Compared to pattern 1, pattern 4 and 5 had worse prognosis in all mortality outcomes in both age groups, including all-cause mortality, cancer-specific mortality, and cardiovascular disease-specific mortality in both age groups.

Conclusions

In this study, we found that SDOHs could be clustered into five distinct patterns. Patients who were unmarried and unemployed (pattern 4) or with multiple concurrent adverse SDOHs (pattern 5) had poorest key health outcomes. These findings support comprehensive screening for SDOH profiles to understand cumulative influences of SDOHs on quality of life and clinical outcomes of patients with chronic medical conditions.