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

QUALITY OF LIFE AMONG
HIV/AIDS AND MULTILEVEL
ANALYSIS ON INFLUENCING
FACTORS IN WEST OF CHINA

1 School of public health
Kunming Medical University
2 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 8
multi-item domains (general health, physical
function, role function, cognitive function, pain,
mental health, energy/fatigue, and health distress)
and 2 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 1 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 2 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 4 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<0.05, **p<0.01)


DISCUSSION



Among the annually reported new HIV infections, the
ratio of men to women decreased from 5:1 in 1990s to
2.3:1 in 2009. The proportion of females living with HIV
increased from 15.5% to 40.3% in Yunnan.



Results show that the PHS and MHS scores were lower

for patients infected from drug use than those infected
from sexual contact.


CONCLUSION



Females who acquired the disease from heterosexual
transmission had a better QoL than males and drug
users.