scholarly journals Influence of Attachment Anxiety on the Relationship between Loneliness and Depression among Long-Term Care Residents

Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1675
Author(s):  
Suthikarn Arunrasameesopa ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran

Background: Attachment styles influence an individual’s ability to maintain relationships throughout their lifespan. Insecure attachment has been associated with many aspects of mental health. The study aimed to explore the influence of attachment on loneliness and depression among old-age residents in long-term care facilities. Methods: A survey was conducted among residents from long term care facilities (LTC) in Thailand during the COVID-19 pandemic; 221 older people participated in the study. The mean aged was 73.60 ± 7.45 years old, and 57.5% female. All participants completed the Geriatric Depression Scale, the six-item revised version of the University of California Los Angeles Loneliness Scale, and the Revised Experience of Close Relationships questionnaire to measure depressive symptoms, loneliness, and attachment style. Hierarchical multiple regression analysis was performed to find the predictors for depressive symptoms. Results: In all, 40.7% of residents in LTC facilities experienced depression. Male sex, education, loneliness, and attachment anxiety predicted the increased level of depressive symptoms. Conclusion: Loneliness was confirmed to be significantly associated with depressive symptoms, and attachment anxiety was found to be a strong predicting factor of depressive symptoms. Intervention and research regarding reducing loneliness and attachment anxiety should be promoted in LTC settings.

2021 ◽  
Vol 33 (S1) ◽  
pp. 88-89
Author(s):  
Suthikarn Arunrasameesopa ◽  
Tinakon Wongpakaran ◽  
Nahathai Wongpakaran

Background:Little is known regarding attachment styles among residents in long-term care homes and the relationship with depression and lonelinessResearch Objective:The study evaluated the distribution of attachment among residents in long-term care (LTC) homes and identified their association with depression and loneliness.Method:This study involved 132 residents in LTC homes in Thailand. All of them were cognitively intact based on Mini-Cog. The Thai version of the Experiences of Close Relationships-Revised questionnaire (ECR-R-18), the Relationships Questionnaire (RQ) were used to assess attachment. The Thai version of Geriatric Depression Scale (GDS-6) and the 6-item Revised version of The University of California Los Angeles Loneliness Scale (RULS-6) were completed.Preliminary results of the ongoing study:Participants included 85 females (64.4%) with mean age 74.89 (SD 7.89) years. The mean number of years of education was 6.81(SD 4.46) years. Most of the attachment styles were insecure (60.7%). The distribution of attachment style was 39.4% for secure, 15.2% for fearful, 16.7% for preoccupied, and 28.8% for dismissing. The mean score of attachment- anxiety was 3.58 and of attachment-avoidance was 3.61. Mean GDS score was 1.17 (SD 1.58), while depression based on the GDS cut-off was found in 31.1% of the residents. Mean RULS score was 2.36 (SD 0.75). Factors associated with Depression includes male (c2= 4.50, p <.05), anxious attachment (t = 3.51, p = 0.001) and loneliness (t = 4.90, p <0.001). Anxious attachment was associated with loneliness (p <0.001) and depression score (p <0.001), while avoidant attachment was not.Conclusion:The majority attachment style among residents in LTC homes is insecure attachment, with dismissing style the most prevalent. Attachment with high anxiety i.e., preoccupied, and fearful was associated with loneliness and depression.


2015 ◽  
Vol 28 (1) ◽  
pp. 71-81 ◽  
Author(s):  
Jane McCusker ◽  
Martin G. Cole ◽  
Philippe Voyer ◽  
Johanne Monette ◽  
Nathalie Champoux ◽  
...  

ABSTRACTBackground:Depression is a common problem in long-term care (LTC) settings. We sought to characterize depression symptom trajectories over six months among older residents, and to identify resident characteristics at baseline that predict symptom trajectory.Methods:This study was a secondary analysis of data from a six-month prospective, observational, and multi-site study. Severity of depressive symptoms was assessed with the 15-item Geriatric Depression Scale (GDS) at baseline and with up to six monthly follow-up assessments. Participants were 130 residents with a Mini-Mental State Examination score of 15 or more at baseline and of at least two of the six monthly follow-up assessments. Individual resident GDS trajectories were grouped using hierarchical clustering. The baseline predictors of a more severe trajectory were identified using the Proportional Odds Model.Results:Three clusters of depression symptom trajectory were found that described “lower,” “intermediate,” and “higher” levels of depressive symptoms over time (mean GDS scores for three clusters at baseline were 2.2, 4.9, and 9.0 respectively). The GDS scores in all groups were generally stable over time. Baseline predictors of a more severe trajectory were as follows: Initial GDS score of 7 or more, female sex, LTC residence for less than 12 months, and corrected visual impairment.Conclusions:The six-month course of depressive symptoms in LTC is generally stable. Most residents who experience a more severe symptom trajectory can be identified at baseline.


2021 ◽  
Vol 26 (2) ◽  
pp. 10-19
Author(s):  
Fernando Coindreau-Frías ◽  
Luis E. Fernandez-Garza ◽  
Loubette Botello-González ◽  
David E. Rodríguez-Fuentes ◽  
Silvia A. Barrera-Barrera ◽  
...  

Objective: To investigate factors associated with cognitive impairment (CI) in institutionalized Mexican older adults. Material and methods: Cross-sectional study of residents of three long-term care facilities in the metropolitan area of Monterrey, Mexico. A medical history, Mini-Mental State Examination (MMSE), Barthel index, geriatric depression scale, and a nutritional screening were performed. CI was defined as MMSE ≤24. Results: Of 280 octogenarian residents (72.1% females) 61.1 % had a MMSE ≤24. Older age (OR=1.047), functional dependence (OR=10.309), malnutrition (OR=2.202), urinary incontinence (OR=2.588), and history of fracture (OR=1.764) were directly associated to CI. While higher education level (OR=0.583) and the use of antihypertensives (OR=0.521), antihistamines (OR=0.322), antiprostatic hypertrophy (OR=0.219), and lipid-lowering drugs (OR=0.575) were inversely associated. Conclusions: The evaluation of cognitive performance and its associated factors is essential for institutionalized patients in order to implement a management program aimed at reducing the progression of CI and its possible complications.


2013 ◽  
Vol 25 (6) ◽  
pp. 1013-1021 ◽  
Author(s):  
Ya-Chuan Hsu ◽  
Terry Badger ◽  
Pamela Reed ◽  
Elaine Jones

ABSTRACTBackground:This study was to examine culturally based factors as potential predictors of depressive symptoms in older Taiwanese adults living in eight long-term care institutions in southern Taiwan.Method:A cross-sectional, exploratory design study was used with a purposive sample of 156 participants with a mean age of 79.80 ± 7.14 years. Measurements included filial responsibility expectation questions, two questions about degrees of acceptance of institutionalization, Perceived Stress Scale, Self-Transcendence Scale, and Geriatric Depression Scale.Results:An elder's willingness to be institutionalized, an elder's willingness to remain institutionalized, perceived stress, and self-transcendence were significantly associated with depressive symptoms (r= –0.35; –0.49; 0.60; and –0.67, respectively). Although no evidence for the relationship between filial responsibility and depressive symptoms was found in this study, there was evidence that filial responsibility was highly valued. Self-transcendence was the strongest predictor of depressive symptoms, accounting for 45% of the variance.Conclusion:These findings provide insight into the cultural factors associated with depressive symptoms and support the need of timely interventions for institutionalized Taiwanese elderly population.


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