Examination of the Relationships Among Social Networks and Loneliness on Health and Life Satisfaction in People with Spinal Cord Injury/Dysfunction,Archives of Physical Medicine and Rehabilitation

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Examination of the Relationships Among Social Networks and Loneliness on Health and Life Satisfaction in People with Spinal Cord Injury/Dysfunction
Archives of Physical Medicine and Rehabilitation ( IF 3.6 ) Pub Date : 2021-04-28 , DOI: 10.1016/j.apmr.2021.03.030
Sander L Hitzig ₁ , Stephanie R Cimino ₂ , Mohammad Alavinia ₃ , Rebecca L Bassett-Gunter ₄ , B Catharine Craven ₅ , Sara J T Guilcher ₆

Affiliation

St. John's Rehab Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario; Department of Occupational Science & Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario; Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario.
Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario.
Neural Engineering & Therapeutics Team, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario; Division of Physiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario.
School of Kinesiology & Health Science, Faculty of Health, York University, Toronto, Ontario.
Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario; Neural Engineering & Therapeutics Team, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario; Division of Physiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario.
Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.

Objective

To examine the associations among social networks and loneliness on health and life satisfaction in adults with chronic spinal cord injury/dysfunction (SCI/D).

Design

Cross-sectional telephone survey study.

Setting

Tertiary spinal cord injury rehabilitation center in Ontario, Canada.

Participants

Community-dwelling adults with chronic SCI/D (N=170).

Interventions

Not applicable.

Main Outcome Measures

The main outcome measures were the Short-Form 36 to assess health and the Life Satisfaction-11 to assess life satisfaction.

Results

A hierarchical regression model predicting physical health accounted for 24% (P<.001) of the variance. The only social network variable to significantly contribute to the model was having a higher proportion of network members living in one's household (P<.05). A model predicting mental health accounted for 44% (P<.001) of the variance, with having a higher proportion of network members living in one's household (P<.05) and lower feelings of loneliness (P<.001) associated with better mental health. Finally, the model predicting life satisfaction accounted for 62% (P<.001) of the variance, with lower greater levels of social network intimacy (P<.01) and lower feelings of loneliness (P<.001) being significant predictors.

Conclusions

These findings highlight the importance of having access to network members in one's home for better physical and mental health after SCI/D as well as the negative association between loneliness and mental health and life satisfaction. There is a need for approaches to ensure that people with SCI/D in the community feel supported to mitigate feelings of loneliness to optimize their health and wellbeing.

中文翻译：

社交网络与孤独感对脊髓损伤/功能障碍患者健康和生活满意度的关系的检验

客观的

研究社交网络和孤独感与慢性脊髓损伤/功能障碍 (SCI/D) 成人健康和生活满意度之间的关联。

设计

横断面电话调查研究。

环境

加拿大安大略省三级脊髓损伤康复中心。

参与者

患有慢性 SCI/D 的社区成人（N=170）。

干预措施

不适用。

主要观察指标

主要结果测量是评估健康的简短表格 36 和评估生活满意度的生活满意度 11。

结果

预测身体健康的分层回归模型占方差的24% ( P < .001)。唯一对模型有显着贡献的社交网络变量是居住在家庭中的网络成员比例较高（P < .05）。预测心理健康的模型占方差的44% ( P< .001)，家庭成员的网络成员比例较高 ( P < .05) 和孤独感较低 ( P < .001) 与更好的心理健康。最后，该模型预测生活满意度占62％（P <方差的0.001），与社交网络的亲密下更高水平（P <.01) 和较低的孤独感 ( P < .001) 是重要的预测因素。