Table · dataset · 2026
Supplementary file 1_Component- and dimension-level network associations between sleep quality and health-related quality of life in older adults with hypertension.docx
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Background<p>Older adults with hypertension commonly experience poor sleep quality and reduced health-related quality of life (HRQoL).
Description
Previous studies have mainly examined these associations using total scores, providing limited insight into interactions between specific symptom dimensions. This study aimed to construct a component- and dimension-level network linking sleep quality and HRQoL and to compare network differences across depressive-symptom status.</p>Methods<p>This study included 2,257 older adults.
Sleep quality, HRQoL, and depressive symptoms were assessed using the B-PSQI, EQ-5D-5L, and PHQ-9, respectively. We estimated a component- and dimension-level network based on the EBICGlasso-regularized Gaussian graph model, calculated centrality and bridge centrality metrics, validated stability using the bootstrap method, and compared network differences between the depressive and non-depressive-symptom groups.</p>Results<p>The final network included 10 nodes and 32 non-zero edges among 45 possible edges, with a density of 0.711.
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The strongest associations were between sleep efficiency and sleep duration (SE–ST, 0.793), sleep interruption and subjective sleep quality (SW–SQ, 0.583), and self-care and usual activities (SC–UA, 0.560). Usual activities (UA) showed the highest strength centrality and expected influence, followed by subjective sleep quality (SQ), self-care (SC), and sleep efficiency (SE). Sleep efficiency had the highest bridge expected influence, followed by subjective sleep quality.
Centrality indices demonstrated good stability (CS = 0.75). No significant differences were found in network structure (M = 0.224, P > 0.05) or global strength (S = 0.119, P > 0.05); repeated 1:1 subsampling broadly supported these findings.</p>Conclusion<p>Sleep components and HRQoL dimensions formed a closely connected network in older adults with hypertension. Usual activities showed the highest centrality, while sleep efficiency and subjective sleep quality showed prominent cross-community.
These domains may be useful for screening or hypothesis generation but should not be interpreted as confirmed intervention targets.</p>
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- DOI doi.org/10.3389/fpubh.2026.1890897.s001 ↗
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