Application of European five-dimensional health questionnaire for the quality of life among the population over 60 years old in Dalian city.
- Author:
Yu QIN
1
;
Hairui ZHANG
;
Lina ZHU
;
Li MA
2
;
Junfeng CHEN
3
Author Information
- Publication Type:Journal Article
- MeSH: Age Factors; China; epidemiology; Cities; Education; Female; Health; Humans; Male; Quality of Life; Sex Factors; Surveys and Questionnaires
- From: Chinese Journal of Preventive Medicine 2014;48(9):805-808
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVEUsing European five-dimensional health questionnaire (EQ-5D) to study the quality of life among the population over 60 years old in Dalian city and analyze the influence factors.
METHODIn 2013, multi-stage stratified cluster random sampling method and EQ-5D questionnaire were used to investigate the status of 4 081 participants over the age of 60 in Dalian. The questionnaire contained EQ-5D health describing system and the VAS. The EQ-5D index and EQ-VAS score of the study objects were calculated and the participants' quality of life and impact factors were analyzed.
RESULTWomen's percentage of "having difficulty" in 5 dimensionalities was 18.1% (373/2 059), 12.6% (264/2 059), 16.2% (334/2 059), 32.0% (659/2 059), 17.5% (371/2 059) respectively, men' percentage of "having difficulty" in 5 dimensionalities was 13.3% (269/2 022), 10.2% (218/2 022), 12.5% (253/2 022), 23.1% (467/2 022), 13.7% (77/2 022) respectively, and the difference was significant (P < 0.05). The EQ-5D index and VAS score of men was (0.82 ± 0.30), (72.75 ± 16.26), higher than those of women ( (0.79 ± 0.33), (70.79 ± 16.64 )) and the difference was significant (P < 0.05). The score of quality of life who were married was (0.82 ± 0.28) and (73.27 ± 16.60).With age increasing, the elders' quality of life score decreased, and with education level increasing, the elders' quality of life score increased (P < 0.05).
CONCLUSIONThe quality of life of the elders in Dalian city was kind of good, and it could be impacted by genders, marital status, education levels and the chronic diseases.