Nghiên cứu chất lượng sống ở người nhiễm HIV và phân tích đa mức độ các yếu tố ảnh hưởng _Quality of Life among HIVAIDS and Multilevel Analysis on influencing Factors in west of China

Nghiên cứu chất lượng sống ở người nhiễm HIV và phân tích đa mức độ các yếu tố ảnh hưởng _Quality of Life among HIVAIDS and Multilevel Analysis on influencing Factors in west of ChinaBACKGROUDHIVAIDS is one of the most devastating illnesses that humans have ever faced. HIV infection and AIDS patients are especially dependent on illegal drug use, and HIVAIDS is very prominent in YUNNAN. Quality of life (QoL) is particularly relevant in research involving patients with acquired immune deficiency syndrome (AIDS).METHODStudy area and populationFrom January 2011 to March 2011, crosssectional surveys were conducted in these three cities, Longchuan in Dehong, Gejiu in Honghe and Kunming.

QUALITY OF LIFE AMONG HIV/AIDS AND MULTILEVEL ANALYSIS ON INFLUENCING FACTORS IN WEST OF CHINA School of public health Kunming Medical University Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control Wenlong CUI 2015-9-26 Backgroud Method Assessment Results Discussion of QoL BACKGROUD  HIV/AIDS is one of the most devastating illnesses that humans have ever faced  HIV infection and AIDS patients are especially dependent on illegal drug use, and HIV/AIDS is very prominent in YUNNAN  Quality of life (QoL) is particularly relevant in research involving patients with acquired immune deficiency syndrome (AIDS) METHOD  Study area and population  From January 2011 to March 2011, cross-sectional surveys were conducted in these three cities, Longchuan in Dehong, Gejiu in Honghe and Kunming METHOD  Data collection and measurement Each participant who gave informed consent was personally interviewed by one of the interviewers using a pre-tested and structured questionnaire  Trained investigators from the Kunming Medical University conducted face-to-face interviews with patients with the support of staff at their local Center for Disease Control and Prevention (CDC)  With an overall response rate of 94.18%, we conducted full interviews with a total of 503 participants: 245 in Kunming city, 158 in Gejiu city, and 113 in Longchuan city  ASSESSMENT OF QOL  QoL was evaluated using a 35-item, simplified Chinese, simplified version of the Medical Outcomes Study HIV Health Survey (MOS-HIV) questionnaire  The simplified Chinese version of the MOS-HIV questionnaire has previously been demonstrated to have good reliability and validity ASSESSMENT OF QOL  The MOS-HIV measures 10 domains, including multi-item domains (general health, physical function, role function, cognitive function, pain, mental health, energy/fatigue, and health distress) and single-item domains (social function and QoL)  Two summary scores, namely the physical health summary (PHS) score and mental health summary (MHS) score, were generated from the factor analysis of the 10 scales RESULTS  Table Demographic characteristics of the study population Characteristics   HIV   AIDS       No persons Percentage No persons Percentage Age group 18-39 242 61.6 63 57.3   ≥40 151 38.4 47 42.7 Ethnicity (%) Han 272 69.2 84 76.4   Minority 121 30.8 26 23.6 Gender female 146 75.6 47 24.4   male 247 79.7 63 20.3 RESULTS Table QOL of HIV and AIDS on the study population   HIV AIDS P Value general health 44.83±23.95 35.81±23.57 0.001 physical function 81.99±21.15 69.39±27.35 0.000 role function 62.98±46.40 39.54±46.97 0.000 cognitive function 71.95±24.65 63.27±29.39 0.000 pain 80.83±26.08 72.32±30.90 0.009 mental health 63.51±22.47 58.69±22.13 0.047 energy/fatigue 51.51±24.15 44.59±23.74 0.008 health distress 74.55±21.66 67.64±24.60 0.008 social function 74.20±32.56 60.91±35.41 0.000 QoL 50.95±20.22 48.86±23.06 0.390 RESULTS  Table 95% CI for multilevel logistic regression analysis of PHS and MHS in HIV responders Predictors (Constant) Income level Work status PHS Score MHS Score 54.020(46.240, 61.800) 51.703(42.634, 60.771) 2.834*(.276, 5.392) 1.561(-1.003, 4.125) -3.331**(-5.463, -1.198) -.878(-2.984, 1.229) 3.412**(1.278, 5.545) 2.146*(.032, 4.259) 1.283(-.772, 3.338) 2.574*(.544, 4.605) -2.169*(-4.239, -.099) -6.230**(-8.279, -4.181) -6.133**(-9.574,-2.692 ) -5.429**(-8.840, -2.018) -4.339**(-6.426, -2.252) -2.351*(-4.408,-.295 ) Subjective Support Use of support Gender route of infection Age group (*p