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Survey on the Impact of Chronic
Diseases on Quality of Life And the
Loneliness Status Among Empty-Nest
Aged People
ZHANG JIANPING
Dengyang
Zhoujia
Liyao Zhaojinyie
1 Faculty of Public Health, Kunming Medicine University, China
2 Institute for Adult Education, Kunming Medicine University, China
3 The Second Affiliated Hospital, Kunming Medicine University, China


Background
• Along with rapid economic development, the aging
process in China is gradually accelerating. As a more
vulnerable group, empty-nest elderly are facing more
urgent health problems. This study explores the chronic
illness situation and health-related quality of life
(HRQOL) of empty-nest elderly in Yunnan province of
China
• And aims to arouse more social concern for their
HRQOL. to examine the prevalence of chronic disease
and quality of life, its related factors among people aged
60 years and over in Yunnan province


Methods
• Cross-sectional study
• A randomly selected sample of 402 people aged 60
years and over of empty-nest old men living in urban


area of Kunming, Dali and Pu-er, Yunnan province were
interviewed of the questionnaire survey.
• The SF-36 scale score and the structured- questionnaire
with UCLA loneliness scale was used as evaluation
tools. Multi-logistic regression was undertaken for
exploring associated factors of empty-nest old men.







Study consents

Demography : gender : age : minority : education level ect.
Chronic disease status;
Using the UCLA measured :
Using the SF-36 scale to menstruate the quality of life


Search target
Fit into standard






The people aged 60 years and

over
The permanent reside old people
of 1 year or over in community
limiting survey deadline
They freely participant under
Informed consent
Good cognitive ability

Exclusion standard
• Disease severity people
• Bad cognitive ability
• Refused to compliance


Sampling and sample estimated
• Using clustering sampling : we select 8 communities
as study sitting.


Chronic Diseases morbidity rate is 53.4% of old people in
urban of China.

total rate =53.4%;
• I error a=0.05 : S=5% :
• n=
2

=



The study

Z  (1   )
382
2


Result (1)
• Total sample is 402
• Male is 176 : Female is 226
• Age group is 60-80 have 335 cases : Han 329 : minority
is 73 :
• Married is 281 : spouse is 110 :
• Education level is focus on primary school or junior
middle school respective is129 and108 ::
• 188 old people is major worker job before retire.
Statistical analysis
Gender is statistical significance among age 、
married 、 education level and occupation
before retire


The Chronic Diseases status

1. Hypertension
2. Blood vessel of
brain diseases
3. Coronary disease
4. Diabetes mellitus
5. COPD

6. other


Result(2) Impact factor analysis of chronic disease suffer
from an illness status
Risk factor

Protect factor

Whether or not
ill

Self-assessment
status and age

health occupation before retire
、 support money and self-care
ability

Hypertension

Self-assessment health
status and age

self-care ability

Blood vessel of
brain diseases

Self-assessment health

status and age

self-care ability

Coronary
disease

Self-assessment health
status ,age and marital

occupation before retire
、 support money and if attend
endowment insurance

Diabetes
mellitus

Self-assessment health
status and age

COPD

Whether or not offspring
money and self-care
ability

Self-assessment health status
and age



Result(2)To Compare the loneliness scale in the difference
demographic
gender
age

Minority
Marital

characteristic

N

Mean

S.D

F

p

male

176

36.48

12.25

3.922


0.048*

female

226

34.21

10.69

60-69

192

34.68

11.14

2.830

0.038*

70-79

143

34.66

11.79


80-89

59

36.81

11.30

over

67

37.85

11.35

han

329

35.67

11.21

3.038

0.082

minority


73

33.10

12.27

Married

281

34.84

10.87

0.446

0.720

unmarried

6

38.83

8.86

divorce

5


36.60

12.48

spouse

110

35.87

12.91


Result(2)
Education status

occupation before
retire

illiteracy

70

36.00

11.93

Primary

129


34.18

10.89

Junior middle
school

108

34.07

11.26

High school

44

36.00

12.04

Junior college

28

37.89

10.43


University or over

23

39.00

13.23

worker

188

34.20

10.62

peasant

55

36.16

12.94

cadre

63

33.38


11.66

professional

50

39.20

12.49

other

46

36.52

10.72

Statistical analysis
the loneliness status relate to factor is
age 、 gender and occupation before retire

1.350

0.242

2.458

0.045*



Result(2)To Compare the loneliness scale in the
difference economic security
N

Mean

S.D

t

P

yes

265

35.03

11.26

0.166

0.684

no

137

35.53


11.82

yes

121

36.76

10.44

3.232

0.073

no

281

34.53

11.80

yes

138

34.14

9.73


1.821

0.178

no

264

35.76

12.22

yes

241

33.24

11.23

no

161

38.14

11.15

characteristic


Whether or not
economic security

Whether or not
deposit money

offspring money

Whether or not
Join endowment
insurance

18.450 0.000


Result(2)To Compare the loneliness scale in the
difference health status
characteristic

Health
status

Selfcare
ability
Illness

status

N


Mean

S.D

F/t

P

good

88

32.60

10.16

3.938

0.020

generalizati
on

200

35.25

10.88


mistake

114

37.12

12.95

All selfcare

57

34.28

10.82

16.460

0.000

Part-care

345

40.79

11.29

yes


367

42.57

11.22

16.530

0.000

no

35

34.49

11.30


Result(2) Impact factor analysis of loneliness status
variable

β

S.E

constant

18.699


3.506

Whether or not
Join endowment
insurance

-5.579

1.118

Self-care ability

-7.052

Health status
Gender



T-value

P

5.334

0.000

-0.239

-4.992


0.000

2.014

-0.172

-3.501

0.001

2.243

0.804

0.138

2.789

0.006

2.285

1.103

0.099

2.071

0.039



Result(3) to compare If have chronic disease QOL scale
Function

Chronic disease

GH

44.95±20.20

PF

un- Chronic
disease

T-value

P-value

62.67±19.25

-8.472

﹤0.000

76.17±20.40

84.96±19.60


-4.151

﹤0.000

RF

61.60±46.72

79.38±36.99

-3.870

﹤0.000

BF

69.60±20.90

78.71±14.06

-4.593

﹤0.000

VT

68.87±18.63

76.57±15.47


-4.153

﹤0.000

SF

84.39±23.76

93.70±20.68

-3.891

﹤0.000

RE

67.55±44.61

83.70±32.11

-3.763

﹤0.000

MH

65.52±14.71

65.28±11.69


0.166

0.868


Result(3) to compare QOL among difference
chronic disease
Section

GH

PF

RP

BP



Hypertension

46.48±20.67

76.91±19.81

61.91±45.57

70.44±20.39




Blood vessel
of brain
diseases

32.09±14.20

68.52±27.01

43.75±48.86

63.39±25.02



Coronary
disease

36.39±16.51

65.46±26.10

45.45±48.13

63.26±26.03



Diabetes


40.94±21.20

76.80±20.59

55.47±48.48

70.59±23.60



COPD

33.67±16.53

58.33±24.90

26.67±41.69

57.20±25.42



other

44.46±19.02

76.29±17.19

60.88±46.36


62.46±22.61



F-value 5.943

5.071

1.166

2.841



P-value

﹤0.000

0.008

0.015



﹤0.000


Result(3) Be related to the Loneliness total scale & QOL scale
SF-36 scale


QOL scale

Loneliness total scale &
QOL scale ﹤ R ﹤

p-value

GH

50.99±21.56

-0.215

﹤0.000

PF

79.17±20.53

-0.375

﹤0.000

RP

67.66±44.41

-0.177

﹤0.000


BP

72.70±19.32

-0.235

﹤0.000

VT

71.50±17.97

-0.392

﹤0.000

SF

87.56±23.16

-0.410

﹤0.000

RE

73.05±41.46

-0.191


﹤0.000

MH

65.44±13.74

-0.312

﹤0.000


Result(3) Difference groups QOL Test
Emptynesters

Un-emptynesters

T-value

P-value

GH

50.99±21.56

54.48±11.76

3.245

0.001


PF

79.17±20.54

83.15±17.23

3.889

﹤ 0.000

RP

67.66±44.41

72.09±35.78

1.999

0.046

BP

72.70±19.32

76.15±17.26

3.579

﹤ 0.000


VT

71.49±17.97

79.37±15.92

8.787

﹤ 0.000

SF

87.56±23.16

93.65±24.53

5.271

﹤ 0.000

RE

73.05±41.46

80.97±35.71

3.830

﹤ 0.000


MH

65.44±13.74

68.24±10.51

4.082

﹤ 0.000


Conclusion:
---Communities and families should take care of emptynesters both psychological and physical health
----The government should continue to improving the social
security system, to decrease the loneliness of urban
empty-nesters and improve their quality of life.



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