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<p>No existing studies have explored the relationship between psychological well-being (PWB), sleep duration, and peripheral blood biomarkers among middle-aged and older adults across a broad range of regions in China. We analysed the data of 5,094 adults aged ≥ 40&#xa0;years who participated in the 2009 China Health and Nutrition Survey. Sleep duration was categorised into short (&lt;&#xa0;8&#xa0;h), normal (8&#xa0;h), and long (&gt;&#xa0;8&#xa0;h). Twenty-five peripheral blood biomarkers—for example, for glucose and lipid metabolism, liver and kidney function, inflammation, anaemia, and others—were included in the analysis. PWB was assessed using a scale (maximum score, 15). Using multivariable linear regression, we evaluated the relationships between sleep duration, peripheral blood biomarkers, and PWB. Restricted cubic spline models were used to assess dose–response relationships and random forest models to evaluate the importance of various blood biomarkers to PWB. Compared to normal sleep, a short sleep duration was negatively correlated with PWB (β =  − 0.22; 95% CI − 0.35, − 0.08), whereas a long duration showed no significant association. The restricted cubic spline curve showed a linear relationship, with an inflection point at 8&#xa0;h of sleep. Random forest and multivariable linear regression analyses indicated that albumin was most strongly associated with PWB (β = 0.17; 95% CI 0.11, 0.23), but inversely associated with sleep duration (β =  − 0.03; 95% CI − 0.05, − 0.10). A short sleep duration was independently associated with less PWB. Attaining a normal sleep duration is important for PWB in middle-aged and older adults in China.</p>

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Associations of sleep duration and peripheral blood biomarkers with psychological well-being among middle-aged and older Chinese adults

  • 期刊论文

  • 发表日期：

    2026年1月2日

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  • Shengyuan Jiang,
  • Yuanyuan Teng,
  • Yixiao Wang,
  • Haiyan Chen,
  • Qiaoying Zhu,
  • Kaipeng Xie

摘要

No existing studies have explored the relationship between psychological well-being (PWB), sleep duration, and peripheral blood biomarkers among middle-aged and older adults across a broad range of regions in China. We analysed the data of 5,094 adults aged ≥ 40 years who participated in the 2009 China Health and Nutrition Survey. Sleep duration was categorised into short (< 8 h), normal (8 h), and long (> 8 h). Twenty-five peripheral blood biomarkers—for example, for glucose and lipid metabolism, liver and kidney function, inflammation, anaemia, and others—were included in the analysis. PWB was assessed using a scale (maximum score, 15). Using multivariable linear regression, we evaluated the relationships between sleep duration, peripheral blood biomarkers, and PWB. Restricted cubic spline models were used to assess dose–response relationships and random forest models to evaluate the importance of various blood biomarkers to PWB. Compared to normal sleep, a short sleep duration was negatively correlated with PWB (β =  − 0.22; 95% CI − 0.35, − 0.08), whereas a long duration showed no significant association. The restricted cubic spline curve showed a linear relationship, with an inflection point at 8 h of sleep. Random forest and multivariable linear regression analyses indicated that albumin was most strongly associated with PWB (β = 0.17; 95% CI 0.11, 0.23), but inversely associated with sleep duration (β =  − 0.03; 95% CI − 0.05, − 0.10). A short sleep duration was independently associated with less PWB. Attaining a normal sleep duration is important for PWB in middle-aged and older adults in China.