将网站语言切换成:中文 LOGIN

Status and factors of quality of life for old people in nursing homes in Urumuqi

Status and factors of quality of life for old people in nursing homes in Urumuqi

The Identity of The Initiator: 
Participants Category: 
Topic category: 
Region / City: 
Problem Description: 

China is a populous country, the highest number of elderly people is also a. Sixth census shows that 2010 Chinese people over 60 years old has reached 178 million, accounting for 23.6% of the world's total number of elderly people in [1].At the same time, our country is the world's fastest growing ageing."Twelfth five-year" period, China's aging population average annual increase of about 8.6 million, final "twelfth five-year", China's elderly population will increase to 220 million, accounting for 26% of the population. Is expected in 2021-2035, an average of 11 million elderly population will increase every year. China's aging population, aging fast, is a major social problem we are faced with  [2].

Quality of life is a multi-dimensional social concept, and medical scholars think [3], the quality of life is a series of individual physical, functional, psychological and social health related fields.Growing aging population present situation to the social economy, health care and pension service a bigger challenge, focus on the elderly quality of life become a hot topic in the whole society.

According to statistics [4], into the 21st century, Urumqi city elderly population proportion will reach 33%, the main body of provide for the elderly will be replaced by the one-child, elderly dependency ratio rising fast, institution endowment demand rise. How to make the endowment agencies within the elderly health life in the form of joy, ease, as we need to solve the social problems, therefore, it is necessary to study of quality of life of elderly people in Urumqi city endowment institutions, which will provide a scientific basis for the implementation of healthy aging.

Solution: 

Object choice: randomly selected from four areas of Urumqi seven area, according to the large, medium and small-scale (: in big: beds above 100, 100-50, small: below 50) layers, each layer extracts three endowmentinstitutions, eventually to the selected 12 pension institutions in the questionnaire survey to conform to the conditions of all elderly people. Inclusion criteria: (1) elderly people aged 60 or higher;(2) the population of permanent residents in Urumqi, check-in endowment institutions time 6 months or more (3) through the informed consent;(4) simple mental status scale score > 3 points. Exclusion criteria: (1) to choose home temporarily live time during the survey period is more than a month of the elderly;(2) due to personal body reason, unable to complete the investigators.

Survey tools: (1) general scale, self-made questionnaire, including name, age, gender, nationality, culture, religion, occupation, chronic diseases, such as 22 items.(2) the quality of life Questionnaire (the Items Short - form 36 Health Survey Questionnaire, SF - 36), the Survey using the Chinese version [5], which involved 36 projects, eight dimensions, namely the physiological functions, physical functioning, PF), physical function, role - physical, RP), body pain, bodily pain, BP), overall Health, general Health, GH), energy (vitality, VT), social function, social function, SF), emotional functions (role - that, RE), mental Health (getting Health, MH).And changes in health (health transition, HT), to evaluate the health of the change in the past 1 years. After many tests, SF - 36 life quality scale used in the Chinese people in China already has the high reliability and validity, SF - 36 survey scale need to score after each entry code, using the regulation formula to score results conversion: the dimension 100 points, the lowest points 0 points, the higher the score, the better the quality of life status. According to the division standard [6], the quality of life score > 117, 72 ~ 72, < 72 points, respectively, difference in quality of life in a good, level.

Survey methods: July 2013 to September 2014, the pension agency staff,  led by the unified training with seven investigators into the endowment institutions, agree through investigation, one-on-one structured interview to complete the questionnaire.

Achievement: 

Baseline data: the survey collected 416 questionnaires, 406 valid. Recovery and efficient rate are 98.11% and 97.60%.

Group

n

% percentage

Age(years old)

 

 

<65

46

11.32

65~

113

27.84

75~

184

45.31

≥85

63

15.53

gender

 

 

male

169

41.63

female

237

58.37

national

 

 

The han nationality

240

59.11

Ethnic minorities

166

40.89

education

 

 

Primary school and the following

208

51.23

high school

119

29.31

High school and college

50

12.32

University or above

29

7.14

Income (yuan/month)

 

 

none

122

30.05

<300yuan

6

1.48

300~

18

4.43

500~

14

3.47

1000~

40

9.85

1500~

206

50.72

Marital status

 

 

unmarried

53

13.05

married

60

14.78

divorce

25

6.16

Death of a spouse

268

66.01

Number of children (people)

 

 

0

71

17.49

1

95

23.40

Two or more

240

59.11

Once engaged in the professional

 

 

workers

146

35.96

Management personnel

37

9.11

Professional and technical personnel

55

13.55

farmers

46

11.33

individual

25

6.16

other

15

3.69

none

82

20.2

Chronic diseases

 

 

No chronic diseases

112

27.59

A chronic disease

94

23.15

Two or more chronic diseases

200

49.26

To participate in social security

 

 

 yes

299

73.65

no

103

26.35

After investigation results indicators:

Table 2 pension agency the elderly quality of life of each dimension score (n = 406)

 

dimensionality

 

Score

(min)

Score (max)

±S

(SF)

12.50

100.00

70.26±23.65

(MH)

16.00

92.00

62.42±16.99

 (BP)

12.00

94.00

61.55±17.56

 (PF)

0.00

100.00

61.17±27.96

(RE)

0.00

100.00

60.51±45.94

(VT)

20.00

95.00

58.35±17.57

 (RP)

0.00

100.00

54.50±44.65

 (GH)

10.00

100.00

47.25±17.68

Total

62.40

140.40

102.82±17.76

 

Pension agency the elderly life quality influencing factors of multi-factor analysis

With every dimension of quality of life score as the dependent variable, the quality of life in the single factor analysis results was 
statistically significant social demographic factors as the independent variable multiple linear regression analysis, select the 
influence factors of each dimension score for age, ethnic, cultural degree, marital status, chronic diseases and economic income, specific see table 3.

Table 3 the elderly life quality influencing factors of multivariate linear regression analysis results

 

The dimension

 

variable

Β

 

 

Standard error

 

Standard coefficient

t

P

 

N

156.020

16.088]’

 

0

9.698

0.000

 

Age

-1.409

0.166

-0.398

-8.481

0.000

 

Race

-8.578

3.621

-0.113

-2.369

0.018

 

Disease

12.459

2.933

0.199

4.248

0.000

Ability

N

128.599

28.332

0

4.539

0.000

 

Age

-1.251

0.293

-0.221

-4.275

0.000

 

Disease

10.379

5.165

0.104

2.009

0.045

Body pain

N

86.826

9.987

0

8.693

0.000

 

age

-0.641

0.103

-0.288

-6.217

0.000

 

race

12.487

2.248

0.263

5.555

0.000

 

Culture

-2.382

0.622

-0.186

-3.829

0.000

 

Income

2.647

0.429

0.335

6.169

0.000

Normal

N

60.224

10.235

0

5.884

0.000

 

age

-0.584

0.106

-0.261

-5.529

0.000

 

race

9.073

2.303

0.190

3.939

0.0000

 

Culture

1.323

0.637

0.103

2.076

0.039

 

marital status

2.357

0.795

0.150

2.965

0.003

 

Disease

9.236

1.866

0.234

4.950

0.000

Energy

N

75.442

11.347

0

6.649

0.000

 

age

-0.263

0.117

-0.118

-2.242

0.025

 

Culture

1.774

0.707

0.139

2.510

0.012

 

Income

-1.224

0.488

-0.155

-2.511

0.012

Social ability

N

147.247

14.045

0

10.484

0.000

 

age

-1.051

0.145

-0.351

-7.246

0.000

 

Culture

-3.885

0.875

-0.226

-4.442

0.000

 

income

2.291

0.603

0.215

3.796

0.000

Emotional

N

76.097

29.313

0

2.596

0.010

 

Race

17.329

6.597

0.139

2.627

0.009

 

Income

3.226

1.259

0.156

2.561

0.011

Mental

N

71.330

10.726

0

6.650

0.000

 

Race

-7.808

2.414

-0.170

-3.235

0.001

 

culture

3.783

0.668

0.306

5.663

0.000

 

income

-0.912

0.461

-0.119

-1.979

0.049

 

 

Photo: