| Literature DB >> 26766946 |
Sang Won Jeon1, Changsu Han1, Jongha Lee2, JaeHyoung Lim1, Hyun-Ghang Jeong2, Moon Ho Park3, Young-Hoon Ko1, Chi-Un Pae4, Seung Hyun Kim2, Sook-Haeng Joe2, David C Steffens5.
Abstract
OBJECTIVE: A community survey was performed to investigate the factors and perspectives associated with happiness among the elderly in Korea (≥60 years).Entities:
Keywords: Depression; Economic problem; Elderly; Family; Happiness; Health
Year: 2015 PMID: 26766946 PMCID: PMC4701685 DOI: 10.4306/pi.2016.13.1.50
Source DB: PubMed Journal: Psychiatry Investig ISSN: 1738-3684 Impact factor: 2.505
Sociodemographic data and BDI and GDS scores
1 U.S. dollar=1,055 Korean won at the time of the interviews. *significant correlation with the happiness score, Pearson correlation coefficient r=0.2, p<0.01, †subjects who had a partner (married, remarried, or cohabiting) showed significantly higher happiness scores than subjects who did not by a Student's t-test (t=2.413, df=283.075, p<0.05). BDI: Beck Depression Inventory, GDS: Geriatric Depression Scale, SD: standard deviation
Subjects' happiest situations, determined by the HQ (N=706)
HQ: Happiness Questionnaire
Subjects' reasons for not being happy, determined by the HQ (N=115)
HQ: Happiness Questionnair
Essential conditions for happiness, determined by the HQ (N=706)
HQ: Happiness Questionnaire
Comparison of the happy group with the not-happy group
Extract method: Student's t-test. *p<0.05, †p<0.01. BDI: Beck Depression Inventory, GDS: Geriatric Depression Scale, SD: standard deviation
Figure 1Scores on the BDI and the GDS were negatively correlated with happiness scores; these findings reached statistical significance in linear regression analysis (both p<0.01). A: Linear regression between happiness scores on the HQ and BDI scores. B: Linear regression between happiness scores on the HQ and GDS scores. HQ: Happiness Questionnaire, BDI: Beck Depression Inventory, GDS: Geriatric Depression Scale.