| Literature DB >> 31016012 |
Pitakpong Punta1, Ratana Somrongthong1, Ramesh Kumar2.
Abstract
Background: There are many impacts on quality of life among elderly people living with HIV patients. This study aimed to assess factors influencing quality of life among elderly people living with HIV/AIDS in a northern province of Thailand.Entities:
Keywords: Elderly; HIV/AIDS; Influencing factors; Quality of life
Mesh:
Year: 2019 PMID: 31016012 PMCID: PMC6456834 DOI: 10.12688/f1000research.16892.1
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Socio - demographic characteristics of respondents.
| Socio-demographic variables | n | % |
|---|---|---|
| Gender
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| Age (Mean= 67.20, SD= 52, Min 60, Max=75)
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| Marital Status
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| Education
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| Working
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| Income, US per month (Mean= 1105.92, SD= 670.79, Min 600, Max=5,000)
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| Sufficient Income
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| Present illness
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| Period of time of illness
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| Number of HIV/AIDS patients in the house
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| Currently Number of HIV/AIDS Infected Persons
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| Health status of HIV/AIDS Infected Persons
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| Time taking care of HIV/AIDS patients (Mean=6.61,SD=4.96,Min 1year,
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| Participate in any social activities in the community
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| Leisure Activity by Gardening
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Level of quality of life among elderly people (n = 152).
| Quality of life Level | n | % |
|---|---|---|
| Low level (24–55 scores) | 18 | 11.80 |
| Fair level (56–88 scores) | 134 | 88.20 |
| High level (89–120 scores) | - | - |
Mean and standard deviation of quality of life among elderly people (n = 152).
| Outcome Variable |
| |||
|---|---|---|---|---|
| Mean | SD | Min | Max | |
| Total Quality of life
| 73.32
| 10.76
| 44
| 87
|
Correlation coefficient and relationship between predictors shown by correlation matrix.
| Variables | 1
| 2
| 3
| 4
| 5
| 6
| 7
| 8
| 9
| 10
|
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | 1.000 | |||||||||
| 2. Age | -0.121 | 1.000 | ||||||||
| 3. Marital
| 0.015 | -0.023 | 1.000 | |||||||
| 4. Education | -0.129 | 0.078 | .0.043 | 1.000 | ||||||
| 5. Occupation | 0.026 | -0.617
| 0.106 | -0.086 | 1.000 | |||||
| 6. Income | 0.061 | -0.059 | 0.015 | -0.019 | 0.057 | 1.000 | ||||
| 7. Health
| 0.206
| 0.052 | 0.071 | -0.067 | -0.065 | 0.040 | 1.000 | |||
| 8. Community
| -0.105 | 0.094 | -0.052 | 0.066 | -0.023 | -0.087 | -0.090 | 1.000 | ||
| 9. Time
| -0.108 | 0.177
| -0.121 | 0.071 | -0.077 | -0.149 | -0.161 | 0.011 | 1.000 | |
| 10. Quality of
| -0.088 | -0.036 | 0.019 | 0.042 | 0.028 | 0.068 | -0.131
| -0.015 | -0.228
| 1.000 |
* p < .05 ** p < .01
Multiple regression prediction of time providing care and health status and quality of life among elderly people.
| Source Variance |
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|---|---|---|---|---|---|
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| Regression | 1 | 909.853 | 909.853 | 8.230 | <.01 |
| Residual | 150 | 16583.700 | 110.558 | ||
| Total | 151 | 17493.553 | |||
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| Regression | 2 | 1417.046 | 708.523 | 6.567 | <.01 |
| Residual | 149 | 16076.506 | 107.896 | ||
| Total | 151 | 17493.553 | |||
Remarks Model 1 R = .228, R2 Square = .052, S.E = 10.514, n =152
Model 2 R = .285, R2 Square = .081, S.E = 10.387, n =152
Constant and regression coefficients of health benefits of exercise and Quality of Life among the elderly people.
| Variables |
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|---|---|---|---|---|---|
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| Constant | 80.550 | 2.658 | - | 30.308 | <.001 |
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| -4.900 | 1.708 | -0.228 | -2.869 | <.01 |
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| Constant | 82.903 | 2.841 | - | 29.182 | <.001 |
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| -5.496 | 1.710 | -0.256 | -3.215 | <.01 |
| Health status | -3.798 | 1.752 | -0.173 | -2.168 | <.05 |