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Hounkpatin H, Simpson G, Santer M, Farmer A, Dambha-Miller H. Multiple long-term conditions, loneliness and social isolation: A scoping review of recent quantitative studies. Arch Gerontol Geriatr 2024; 120:105347. [PMID: 38309103 DOI: 10.1016/j.archger.2024.105347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/16/2024] [Accepted: 01/22/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Multiple long-term conditions (MLTC), loneliness and social isolation are common in older adults. Recent studies have explored the association of MLTC with loneliness and social isolation. This scoping review aimed to map this current evidence and identify gaps in the literature. METHODS A scoping review was conducted following the PRISMA guidelines for scoping reviews. Ovid Medline, Embase, CINAHL, The Cochrane Library, PsycInfo, and Bielefeld Academic Search Engine were searched for studies published between January 2020-April 2023. Quantitative studies, published in any language, that assessed the association of MLTC with loneliness and/or social isolation were included. RESULTS 1827 records were identified and screened. Of these, 17 met inclusion criteria. Most studies were cross-sectional and based on older adults. Studies were conducted in Europe, the US, Canada, and low- and middle-income countries. Ten studies focused on the association between MLTC and loneliness, six assessed the association between MLTC and social isolation and one examined associations with both loneliness and social isolation. Most studies reported a significant cross-sectional association of MLTC with loneliness, but there was weaker evidence for a longitudinal association between MLTC and loneliness and an association between MLTC and social isolation. Studies were heterogenous in terms of measures and definitions of loneliness/social isolation and MLTC, confounders adjusted for, and analytical models used, making comparisons difficult. CONCLUSIONS Further population-based longitudinal studies using consistent measures and methodological approaches are needed to improve understanding of the association of MLTC with both loneliness and social isolation.
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Affiliation(s)
- Hilda Hounkpatin
- Primary Care Research Centre, School of Primary Care Population Sciences and Medical Education, University of Southampton, UK.
| | - Glenn Simpson
- Primary Care Research Centre, School of Primary Care Population Sciences and Medical Education, University of Southampton, UK
| | - Miriam Santer
- Primary Care Research Centre, School of Primary Care Population Sciences and Medical Education, University of Southampton, UK
| | - Andrew Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, UK
| | - Hajira Dambha-Miller
- Primary Care Research Centre, School of Primary Care Population Sciences and Medical Education, University of Southampton, UK
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Pu Y, Xu W, Dai W, Wei X, Yu H, Yu Q, Su X, Gong R, Zhang Y, Shi Q. Longitudinal patterns of patient-reported sleep disturbances after surgery for lung cancer. Sleep Breath 2024; 28:441-448. [PMID: 37434013 DOI: 10.1007/s11325-023-02877-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 06/14/2023] [Accepted: 06/19/2023] [Indexed: 07/13/2023]
Abstract
PURPOSE The purpose of this study was to identify longitudinal heterogeneous trajectories of sleep status, adjusted for the effect of pain over time, among patients who had surgery for lung cancer and to quantify how disturbed sleep in the hospital affects functional recovery after discharge. METHODS We included patients from a surgical cohort (CN-PRO-Lung 1). All patients reported symptoms using the MD Anderson Symptom Inventory-Lung Cancer (MDASI-LC) daily during postoperative hospitalization. Group-based dual trajectory modeling was used to investigate trajectories of disturbed sleep and pain during the first 7 days of postoperative hospitalization. Cox regression was used to compare the recovery of walking ability between the different sleep trajectories. RESULTS Among 421 patients, disturbed sleep trajectories comprised low (31%), moderate (52%), and high (17%) groups. The surgical approach and number of chest tubes were associated with pain, and the number of chest tubes was also associated with sleep disturbances (OR = 1.99; 95% CI: 1.08-3.67). Recovery of walking ability after discharge was significantly slower in the high (median days = 16; 95% CI: 5-NA) and moderate disturbed sleep trajectory groups (median days = 5; 95%CI: 4-6) than in the low group (median days = 3; 95% CI: 3-4). CONCLUSION Changes in disturbed sleep among patients with lung cancer followed three distinct trajectories over the first 7 days of hospitalization after surgery. Dual trajectory analyses highlighted the high concordance between specific trajectories of disturbed sleep and pain. Patients at high sleep disturbance and high levels of pain may benefit from appropriate interventions for both symptoms in combination with the patient's surgical approach and the number of chest tubes.
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Affiliation(s)
- Yang Pu
- School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Wei Xu
- School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Wei Dai
- Department of Thoracic Surgery, Sichuan Cancer Center, Sichuan Cancer Hospital and Institute, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Xing Wei
- Department of Thoracic Surgery, Sichuan Cancer Center, Sichuan Cancer Hospital and Institute, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Hongfan Yu
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Qingsong Yu
- Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Xueyao Su
- School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Ruoyan Gong
- School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Yubo Zhang
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Qiuling Shi
- School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
- Center for Cancer Prevention Research, Sichuan Cancer Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
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Abstract
PURPOSE OF REVIEW People with persistent depressive disorders and with bipolar disorder are more likely to feel lonely than people in the general population. This evidence update focused on studies in the last 2 years, characterized by the COVID-19 pandemic and consequent social distancing directives. RECENT FINDINGS Longitudinal studies identified that people who feel lonely are more likely to become depressed or to experience relapse of mood disorders. There is emerging evidence that feelings of loneliness or mandatory social isolation can precede manic episodes. Hence the relationship between loneliness and mood disorders is complex and bidirectional. Interventions were developed to reduce loneliness in people with mental health problems, including depressive disorders, through cognitive modification and/or supported socialisation. No loneliness-focused interventions have been specifically tailored to people with bipolar disorder. SUMMARY Studies carried out before and during the COVID-19 pandemic found that feelings of loneliness can be both consequences and precursors of persistent depression and bipolar disorder. Mood symptoms and loneliness have a cumulative negative effect on physical and mental health outcomes. Conceptual overlaps and relations between loneliness and mood symptoms should be clarified in qualitative studies. Theory-driven intervention models should be developed and tested in methodologically robust studies.
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