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Dual trajectories of social isolation and depression among middle-aged and older patients with hypertension: a longitudinal study based on CHARLS
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Rui-qin ZHANG1, Han-wen LIU3, Li NIE2, Cui-yong SUN2
Modern Preventive Medicine | 2025, 52(8) : 1448 - 1454
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Modern Preventive Medicine | 2025, 52(8): 1448-1454
Health and Social Behavior
Dual trajectories of social isolation and depression among middle-aged and older patients with hypertension: a longitudinal study based on CHARLS
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Rui-qin ZHANG1, Han-wen LIU3, Li NIE2, Cui-yong SUN2
Affiliations
  • School of Nursing, School of Health Management, The Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, Henan 453003, China
Published: 2025-04-25 doi: 10.20043/j.cnki.MPM.202410213
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Objective

This study aimed to identify the dual trajectories of social isolation and depression among middle-aged and older patients with hypertension, discuss the relationship between the dual trajectories, and investigate common influential factors. Method Using data from 2013 to 2020 of the China Health and Retirement Longitudinal Study (CHARLS), a longitudinal cohort was formed for the study. A group-based trajectory model was used to identify trajectories of social isolation and depression in 3 223 middle-aged and older patients with hypertension and the relationship between the dual trajectories. Multi-class logistic regression was used to analyze common influential factors of the dual trajectories.

Results

Three trajectories of social isolation were identified: low-stable without social isolation, medium-stable without social isolation, and high-increasing with social isolation. Three depression trajectories were observed: low-stable without depression, medium-increasing with depression, and high-stable with depression. Dual-trajectory analysis showed in middle-aged and older patients with hypertension who were in the medium-stable without social isolation and high-increasing with social isolation trajectory groups, the probability of depression trajectories in the medium-increasing with depression and high-stable with depression groups was 61.84% to 87.46%. In middle-aged and older patients with hypertension who belonged to the medium-increasing with depression and high-stable with depression trajectory groups, the probability of social isolation in the medium-stable without social isolation and high-increasing with social isolation trajectory groups was 70.03% to 91.63%. The level of education(social isolation trajectories in middle school RRR=0.756, 95% CI:0.599-0.954, RRR=0.496, 95% CI: 0.326-0.755; social isolation trajectories in high school or above RRR=0.516, 95% CI: 0.375-0.709, RRR=0.262, 95% CI: 0.137-0.501; depression trajectories in middle school RRR=0.773, 95% CI: 0.622-0.959, RRR=0.728, 95% CI: 0.574-0.994, depression trajectories in high school or above RRR=0.421, 95% CI: 0.309-0.571, RRR=0.439, 95% CI: 0.253-0.763) and sleeping 7-9 hours a night (social isolation trajectories RRR=0.824, 95% CI: 0.681-0.997, RRR=0.596, 95% CI: 0.440-0.806; depression trajectories RRR=0.597, 95% CI: 0.501-0.711, RRR=0.486, 95% CI: 0.362-0.653) were common influential factors of the dual trajectories of social isolation and depression.

Conclusion

There is a high degree of consistency and significant correlation between the social isolation trajectory and the depression trajectory. Interventions targeting the dual trajectories and co-factors of social isolation and depression should be considered to improve their effectiveness.

Social isolation  /  Depression  /  Dual trajectories  /  Middle-aged and older  /  Patients with hypertension
Rui-qin ZHANG, Han-wen LIU, Li NIE, Cui-yong SUN. Dual trajectories of social isolation and depression among middle-aged and older patients with hypertension: a longitudinal study based on CHARLS[J]. Modern Preventive Medicine, 2025 , 52 (8) : 1448 -1454 . DOI: 10.20043/j.cnki.MPM.202410213
Year 2025 volume 52 Issue 8
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doi: 10.20043/j.cnki.MPM.202410213
  • Receive Date:2024-10-16
  • Online Date:2026-03-17
  • Published:2025-04-25
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  • Received:2024-10-16
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    School of Nursing, School of Health Management, The Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, Henan 453003, China
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表12种不同金属材料的力学参数

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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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