Fiziksel Yetersizlik, Umutsuzluk, Parasal Problem ve Sosyal Sermayenin Yalnızlık Hissi Üzerine Etkisi

Bu çalışmanın temel amacı Adana’da yaşayan bireylerin yalnızlık hissine etki eden en önemli değişkenleri araştırmaktır. 2019 Ocak-Şubat aylarında yüz yüze yapılan basit rassal örnekleme ile belirlenen, Adana’da yaşayan 980 yetişkine; ekonomik, demografik, psikolojik, sosyolojik durumlarını ortaya çıkaracak 70 soruluk “Yaşam Kalite Analiz Anketi” uygulanmıştır. Açıklayıcı değişkenler içerisinde gelir, fiziksel yetersizlik, umutsuzluk, parasal problem ve insana güvenin yalnızlık hissini anlamlı derecede etkilemesi beklenmektedir. Bağımlı değişken olan “yalnızlık hissi” iki değer alan kategorik bir değişken olması nedeni ile uygun ekonometrik model ikili lojistik regresyon modeli olarak belirlenmiştir. İncelemede ekonomik, demografik, psikolojik, sosyolojik durumu gösteren ve yalnızlık hissini etkilediği düşünülen tüm değişkenler kullanılarak çok sayıda model oluşturulmuş ve en anlamlı bulunan değişkenler üzerinden ikili lojisitk regresyon modeli oluşturulup yorumlanmıştır. Stata 14.2 programı yardımı ile marjinal etkiler hesaplanarak incelenen değişkenlerin yalnızlık hissi üzerindeki etki seviyeleri açıklanmıştır. Analiz sonucunda: 1) Gelir ve fiziksel yetersizlik yalnızlık hissini açıklamada en anlamlı değişkenler olarak elde edilmiştir 2) Demografik değişkenlerden; yaş, cinsiyet ve gelir; yalnızlık hissi üzerine etkisi olan değişkenler olarak belirlenmiştir 3) Sosyal sermaye değişkenleri içinden arkadaş ve aile bireyleri ile görüşme sıklığından çok insana güven düzeyi yalnızlık hissini açıklamada daha etkili değişken olarak bulunmuştur.  

The Effect of Physical Disability, Hopelessness, Monetary Problem and Social Capital on the Feeling of Loneliness

The main purpose of this study is to investigate the most important variables that affect the loneliness of individuals living in Adana. In January-February 2019, a 70-question Life Quality Analysis Survey conducted by simple random sampling to reveal economic, demographic, psychological and sociological status was applied to 980 adults living in Adana. Among the explanatory variables, income, physical disability, hopelessness, financial problems and trust in human beings are expected to significantly affect the feeling of loneliness. As the dependent variable “loneliness” is a categorical variable with two values, the appropriate econometric model is determined as Binary Logistic Regression Model. In the investigation, a large number of models were formed by using all variables showing economic, demographic, psychological, sociological status and thought to affect the feeling of loneliness, and a binary logistic regression model was created and interpreted on the most significant variables. With the help of Stata 14.2 program, marginal effects were calculated and the effect levels of the variables on loneliness were explained. As a result of the analysis: 1) Income and physical disability were obtained as the most significant variables explaining the feeling of loneliness; 2) Demographic variables such as age, gender and income have an effect on the feeling of loneliness; 3) Among social capital variables, the level of trust in people rather than the frequency of seeing friends and family members was found to be more effective in explaining the feeling of loneliness.

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