Depression and Loneliness in Disabled Adults

Çağan, Özlem; Ünsal, Alaettin

doi:10.1016/j.sbspro.2013.12.780

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…Their Cronbach's alpha coefficient ranged from 0.89 to 0.94, which was satisfactory. 23 Sodani et al 24 studied the psychometric properties of the Persian version of the UCLA Loneliness Scale and obtained the reliability coefficient of Cronbach's alpha method equal to 0.81.…”

Section: Instrumentsmentioning

confidence: 99%

Existential therapy versus acceptance and commitment therapy for feelings of loneliness and irrational beliefs in male prisoners

et al. 2021

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Today’s people live in a society with many dangers to their peace and security. The effectiveness of different therapies in psychological variables needs to be evaluated to reach the most precise therapies based on research evidence. This study aimed to compare the effectiveness of existential therapy (ET) and acceptance and commitment therapy (ACT) in alleviating the loneliness and irrational beliefs of male prisoners. In the present quasi-experimental study, the statistical population consisted of all married male prisoners aged between 25 to 45 years in Mashhad Central Prison in the first half of 2017. Among the statistical population, 36 people were selected and then randomly placed in three research groups. The two experimental groups underwent eight separate intervention sessions, ET, and ACT. At the beginning and end of the study, all of the three groups were evaluated by a research questionnaire, including the loneliness scale. The results of data analysis showed that, in comparison with the control group, the changes in the other two groups under ET and ACT were significant as to the feeling of loneliness and irrational beliefs of prisoners. However, there was no significant difference between the effects of these two treatments. The present research was limited in the case of examining the follow-up stage due to lack of access and cooperation of the subjects, incorporating some control variables (such as the history of substance use and psychiatry), and employing other evaluation methods (e.g., interview). It is highly suggested that future research should address these limitations.

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Section: Instrumentsmentioning

confidence: 99%

Existential therapy versus acceptance and commitment therapy for feelings of loneliness and irrational beliefs in male prisoners

et al. 2021

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“…Research related to loneliness has demonstrated the correlation of loneliness to factors such as lack of emotional support (Alkan, 2014; Stickley et al, 2015), stress (Burke & Segrin, 2014), entrapment (Perron, Cleverley, & Kidd, 2014), social deficiency (Zhang et al, 2014), low self-esteem (Świtaj, Grygiel, Anczewska, & Wciórka, 2015), hopelessness (Chang, Lian, et al, 2015), shyness (Clark, Loxton, & Tobin, 2015) and low levels of emotional intelligence (Wols, Scholte, & Qualter, 2015). However, among factors that are affected by loneliness, there is much research on the variable of depression (Çağan & Ünsal, 2014; Chang, Muyan, & Hirsch, 2015; Grov, Golub, Parsons, Brennan, & Karpiak, 2010; Holvast et al, 2015; Weiss, 1973; Yadegarfard, Ho, & Bahramabadian, 2013; Yao & Zhong, 2014).…”

Section: Introductionmentioning

confidence: 99%

The effect of loneliness on depression: A meta-analysis

Erzen

Çıkrıkçı

2018

Int J Soc Psychiatry

473

289

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“…There also have been some previous studies on the influencing factors of depression in disabled adults [ 8 ]. In Özlem’s cross-sectional study, depression in disabled adults was associated with demographic characteristics (married people tend to develop depression), health behaviors (smoking and drinking tend to develop depression), and family status (three or more children are more likely to develop depression) [ 9 ]. In the factors influencing the depression-exit of the disabled, JunSu found socioeconomic state-related factors (gender, marital status, and the regional location), psycho-social characteristics related factors (self-esteem and the satisfaction about leisure and recreation), and disability-health related factors affect depression withdrawal of the disabled [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting depression among rural and urban disabled elderly in China using a random forest classifier

Ren

2022

BMC Psychiatry

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With global aging, the number of elderly with physical disabilities is also increasing. Compared with the ordinary elderly, the elderly who lose their independence are more likely to have the symptoms of depression. Reducing depression may help to alleviate the disability process of those who find themselves in the disabled stages. Therefore, the purpose of this study is to explore the predictive effects of demographic characteristics, health behavior, health status, family relations, social relations, and subjective attitude on depression in rural and urban disabled elderly to improve early depression symptom recognition.A total of 1460 older adults aged 60 and disabled were selected from China Family Panel Studies (CFPS). Depression was assessed according to The Center for Epidemiologic Studies Depression Scale (CES-D). This paper used the random forest classifier to predict the depression of the disabled elderly from six aspects: demographic characteristics, health status, health behavior, family relationship, and social relationship. The prediction model was established based on 70% of the training set and 30% of the test set. The depression rate of rural disabled elderly was 57.67%, and that of urban disabled elderly was 44.59%. The mean values of the 10-k cross-validated results were 0.71 in rural areas and 0.70 in urban areas. AUC:0.71, specificity: 65.3%, sensitivity: 80.6% for rural disabled elderly with depression; AUC:0.78, specificity: 78.1%, sensitivity: 64.2% for urban disabled elderly with depression, respectively. There are apparent differences in the top ten predictors between rural and urban disabled elderly. The common predictors were self-rated health, changing in perceived health, disease or accidence experience within the past 2 weeks, life satisfaction, trusting people, BMI, and having trust in the future. Non-common predictors were chronic diseases, neighborly relations, total medical expenses within 1 year, community emotion, sleep duration, and family per capita income. Using random forest data to predict the depression of the disabled elderly may lead to early detection of depression.

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Depression and Loneliness in Disabled Adults

Cited by 10 publications

References 14 publications

Existential therapy versus acceptance and commitment therapy for feelings of loneliness and irrational beliefs in male prisoners

Existential therapy versus acceptance and commitment therapy for feelings of loneliness and irrational beliefs in male prisoners

The effect of loneliness on depression: A meta-analysis

Predicting depression among rural and urban disabled elderly in China using a random forest classifier

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