Social Support Associated with Quality of Life in Home Care Patients with Intractable Neurological Disease in Japan
Table 4
Correlates of each domain of WHOQOL-BREF score (low- and high-score groups).
Adjusted sex, age, and ADL
Multiple adjustment
ORa (95% CI)
P value
ORb (95% CI)
P value
Physical health (domain 1)
ADL
2.57 (1.27–5.20)
0.009
A person who will listen empathically to anxieties or troubles
3.42 (0.98–11.92)
0.053
Psychological well-being (domain 2)
ADL
—
—
1.60 (0.72–3.59)
0.249
Hobby
8.47 (2.44–29.47)
0.001
5.78 (1.31–25.52)
0.021
A person who will listen empathically to anxieties or troubles
3.42 (0.98–11.90)
0.054
8.79 (1.17–65.93)
0.034
A hospital which will admit you when your condition suddenly changes
3.34 (0.92–12.08)
0.066
7.66 (1.16–50.36)
0.034
Frequency of going out
2.10 (0.98–4.50)
0.057
1.87 (0.72–4.86)
0.196
Patient gatherings held by the public health center
3.18 (1.01–9.98)
0.048
5.00 (0.95–26.32)
0.058
Social relationships (domain 3)
ADL
—
—
0.57 (0.24–1.39)
0.219
A person who will listen empathically to anxieties or troubles
4.76 (1.57–14.37)
0.006
4.17 (1.04–16.64)
0.043
Someone who helps you whenever you are in trouble
5.27 (1.17–23.81)
0.031
3.15 (0.53–18.72)
0.208
Home-visit nursing or rehabilitation service
0.04 (0.01–0.27)
0.001
0.04 (0.01–0.30)
0.001
Environment (domain 4)
ADL
—
—
0.53 (0.26–1.08)
0.082
A hospital which will admit you when your condition suddenly changes
4.49 (1.36–14.76)
0.013
5.57 (1.29–24.00)
0.021
Up-to-date information during medical visits
2.31 (0.86–6.19)
0.097
2.62 (0.75–9.11)
0.131
Hobby
2.46 (0.93–6.53)
0.070
3.64 (1.10–12.08)
0.035
Self-help patient group
3.07 (0.84–11.20)
0.089
4.07 (0.88–18.93)
0.073
Data are expressed as odds ratio (OR) and 95% confidential interval (CI) of logistic regression analysis.
aOdds ratio shows relation with each domain of WHOQOL-BREF and each factor after adjusting for sex, age, and ADL.
bOdds ratio shows relation with each domain and the factors that tend to be related (P 0.10) when adjusting for sex, age, and ADL. P value by multiple logistic regression analysis.