| Objectives: To investigate quality of life in middle and old aged hypertensive patients in Anqing countryside of Anhui and to discuss its determinants.Methods: A survey was made among the people of Anqing region, using the multistage random cluster sampling. Firstly, the county of Wangjiang and Zongyang were selected. Secondly, six or seven towns of each city were selected. Thirdly, permanent residents(living more than 5 years ) of each incorporated village of the towns,aged 45 and over,were screened for hypertension .Hypertension was defined as mean systolic blood pressure﹥or﹦140mmHg, diastolic blood pressure﹥or﹦90mmHg, and /or use of antihypertensive medications. The measurements of blood pressure, weight and height were obtained by trained observers. And questionnaire cited on SF-36 instrument and determinants of QOL and basic state quetionnaire were used to make surveys on1673hypertensive patients. The individuals who participated the questionnaire survey were randomly selected. The obtained data were analyzed by descriptive statistics, Chi-square test, single and multivariate linear stepwise regression analysis.Results: 1 Every domain of hypertensive patients were significantly lower than those in the health subjects group.2(1)The scores of PF,RP,GH,SF,RE,MH domain were lower in female patients than in male patients,and The scores of BP,VT domain were lower in male patients than in female patients.(2)The scores of PF and SF domain were significantly higher in patients at the age of below 65 than those above 65.(3)The scores of PF,RP,SF,RE domain were significantly higher in patients at the age of who have companion than those whom have not.However, The scores of GH,VT domain were significantly lower in patients at the age of who have companion than those whom have not.(4) There were significant difference inPF,RP,VT,BP,GH,RE,MH dimensional subscales in educational level in patients.Analysis indicated that the score of PF domain was lower in illiterate group than in primary school group,ang high school group, the score of RP domain was lower in primary school group than in high school group, the score of BP domain was higher in illiterate group than in primary school group,in high school group and above college or university group; the score of VT domain was lower in illiterate group than above college or university group, the score of GH domain was lower in illiterate group than in primary school group in high school group and above college or university group; the score of RE domain was lower in illiterate group than in primary school group in high school group and above college or university group; the score of MH domain was lower in illiterate group than in primary school group in high school group and above college or university group. there was no significant difference in SF dimensional scores.(5) There was significant difference in PF,RP,BP,GH,RE dimensional subscales at aspect of month income of patients. Analysis indicated that the score of PF domain was significantly lower in≤500 yuan group than in 501-1000yuan group and above 1000 yuan group ; the score of RP domain was significantly lower in≤500 yuan group than in 501-1000yuan group and above 1000 yuan group ; the score of BP domain was significantly lower in≤500 yuan group than in 501-1000 yuan group and above 1000 yuan group; the score of GH domain was significantly lower in≤500 yuan group than in 501-1000 yuan group and above 1000 yuan group; the score of RE domain was significantly lower in≤500 yuan group than in 501-1000 yuan group. there was no significant difference in VT,SF,MH dimensional scores.(6) The scores of RE,RP and PF domain was higher in'half at public expense/ at public expense'group than in'all at one's own expenses'group. The scores of BP domain was lower in'half at public expense/ at public expense'group than in'all at one's own expenses'group. there was no significant difference in VT,MH,SF,MH dimensional scores.(7) The scores of VTdomain was higher in1 group than in3 group. he scores of MH domain was higher in mild hypertension group than in moderate hypertension group and severe hypertension group. there was no significant difference in other dimensional scores.(8) There were significant difference in PF,RP,BP,GH,RE dimensional subscales in BMI level in patients. Analysis indicated that the score of PF domain was significantly lower in angular group than in The normal group, super overweight and obese group ,the score of RP domain was significantly lower in angular group than in The normal group and obese group , the score of BP domain was significantly lower in angular group than obese group, the score of GH domain was significantly lower in angular group than in The normal group, super overweight and obese group , the score of RE domain was significantly lower in angular group than in The normal group, super overweight and obese group. there was no significant difference in other dimensional scores.(9) There were significant difference in GH dimensional subscales in course of disease in patients.the score of GH domain was significantly lower in≥3 year group than in <3 year group, there was no significant difference in other dimensional scores.(10)The score of SF domain was significantly lower in exercise group than in don't exercise group, there was no significant difference in other dimensional scores.(11)There were significant difference in PF,RP,BP,GH dimensional subscales in smoking level in patients, The score of PF domain was significantly lower in≥10 cigarettes than in <10cigarettes group, The score of RP domain was significantly higher in≥10 cigarettes than in <10cigarettes group, The score of BP domain was significantly lower in≥10 cigarettes than in <10cigarettes group, The score of GH domain was significantly lower in≥10 cigarettes than in <10cigarettes group. there was no significant difference in other dimensional scores. (12) There were significant difference in PF,RP,BP,GH,SF dimensional subscales in drinking level in patients, The score of PF domain was significantly higher in≥2 wine than in <2 wine group and not drink group, The score of RP domain was significantly higher in≥2 wine than in <2 wine group and not drink group, The score of BP domain was significantly lower in not drink group,than in≥2 wine group and <2 wine group, The score of GH domain was significantly lower in <2 wine group than in≥2 wine group and not drink group. The score of SF domain was significantly lower in not drink group than in<2 wine group. there was no significant difference in other dimensional scores.(13) The scores of PF,GH,VT,RE,MH domain was higher in not anxious group than in feel anxious group. The scores of BP,SF domain was lower in not anxious group than in feel anxious group. there was no significant difference in RP dimensional scores.(14)There were significant difference in PF,RP,BP,GH,RE dimensional subscales in with or without other chronic disease in patients, The scores of PF,RP,GH,RE domain was lower in with other chronic disease group than in f without other chronic disease group. The scores of BP domain was higher in with other chronic disease group than in without other chronic disease group. there was no significant difference in RP dimensional scores.(15) There were significant difference in PF,RP,BP,GH,VT,RE dimensional subscales in disease attention in patients, The scores of PF,RP,GH,RE domain was lower in seriously attention group than in general attention and not value group. The scores of VT and RE domain was lower in general attention than in seriously attention group, there was no significant difference in SF and MH dimensional scores.(16) There were significant difference in PF,RP,BP,GH,RE,MH dimensional subscales in sleeping in patients, there was no significant difference in SF and VT dimensional scores. The scores of PF and RP domain was lower in sleeping well group than in general sleeping group. The scores of BP domain was higher in sleeping well group than in general sleeping and sleeping worse group, The scores of GH domain was higher in general sleeping group than in sleeping well group. The scores of RE domain was higher in general sleeping group than in sleeping worse group. The scores of MH domain was higher in general sleeping group than in sleeping well group.(17) Single factor analysis of variance show that age, morpheus condition, the smoking, drinking, Body mass index(BMI), course of disease and blood pressure grading show significant difference in evaluate of multi-dimensional show significant difference , But total life quality of patients were not seen in more obvious difference.The were likely the factors influencing the quality of life of the patients(18) Multivariate linear stepwise regression analysis indicated that Gender, income, cultural level,mental status, with or without other chronic diseases, physical exercise, payment of medical expenses, attitude to disease are important factors affecting the quality of life.Conclusions: The results show that the life quality of patients with hypertension were worsened than healthy controls. Age, morpheus condition, the smoking, drinking, Body mass index(BMI), course of disease and blood pressure grading show significant difference in evaluation of multi-dimensional show significant difference , But total life quality of patients were not seen in more obvious difference.The were likely the factors influencing the quality of life of the patients.Gender, income, cultural level,mental status, with or without other chronic diseases, physical exercise, payment of medical expenses, attitude to disease are important factors affecting the quality of life... |
PDF Full Text Request