Table 5.
Association of subjective well-being and Hong Kong version of Neighbourhood Cohesion Instrument score by age group and sex
| Subgroups | Subjective well-being | Mean±SD | Model 1 | Model 2 | Model 3 | Model 4 |
| β (P value) | β (P value) | β (P value) | β (P value) | |||
| Young-old (n=140) | Life satisfaction | 7.4±1.7 | 1.367 (<0.0001) | 1.355 (<0.0001) | 1.249 (0.0002) | 1.260 (0.0002) |
| Feelings of happiness | 7.7±2.0 | 1.240 (0.0004) | 1.332 (0.0004) | 1.341 (0.0007) | 1.373 (0.0007) | |
| Sense of purpose and meaning in life | 7.7±1.6 | 1.071 (0.0001) | 0.926 (0.0016) | 0.880 (0.0033) | 0.899 (0.0032) | |
| Old-old (n=161) | Life satisfaction | 7.4±2.2 | 0.965 (0.0018) | 0.928 (0.0053) | 0.945 (0.0057) | 0.902 (0.0093) |
| Feelings of happiness | 7.9±2.2 | 0.954 (0.0021) | 0.917 (0.0068) | 0.950 (0.0066) | 0.890 (0.0125) | |
| Sense of purpose and meaning in life | 8.0±1.9 | 0.912 (0.0006) | 0.727 (0.0091) | 0.694 (0.0148) | 0.685 (0.0173) | |
| Men (n=121) | Life satisfaction | 7.5±2.0 | 1.349 (<0.0001) | 1.226 (0.0002) | 1.146 (0.0008) | 1.208 (0.0005) |
| Feelings of happiness | 7.7±2.0 | 1.321 (<0.0001) | 1.034 (0.0016) | 1.055 (0.0024) | 1.140 (0.0011) | |
| Sense of purpose and meaning in life | 7.7±1.7 | 0.807 (0.002) | 0.532 (0.0419) | 0.499 (0.0703) | 0.575 (0.0386) | |
| Women (n=180) | Life satisfaction | 7.4±1.9 | 0.803 (0.0103) | 1.017 (0.0025) | 1.076 (0.0014) | 1.051 (0.002) |
| Feelings of happiness | 7.9±2.1 | 0.835 (0.0163) | 1.112 (0.0023) | 1.157 (0.0017) | 1.119 (0.0026) | |
| Sense of purpose and meaning in life | 8.0±1.8 | 0.966 (0.0006) | 1.037 (0.0005) | 1.066 (0.0004) | 1.062 (0.0005) |
Model 1: Crude model of hierarchical linear regression (clustering for seven neighbourhoods).
Model 2: Hierarchical linear regression model (clustering for seven neighbourhoods) adjusted for sex (for the age-stratified analysis only), age (for the sex-stratified analysis only), marital status, education, employment status, income, type of housing and length of residence.
Model 3: Hierarchical linear regression model (clustering for seven neighbourhoods) adjusted for sex (for the age-stratified analysis only), age (for the sex-stratified analysis only), marital status, education, employment status, income, type of housing, length of residence, current smoker, current drinker, physical activities and medical history.
Model 4: Hierarchical linear regression model (clustering for seven neighbourhoods) adjusted for sex (for the age-stratified analysis only), age (for the sex-stratified analysis only), marital status, education, employment status, income, type of housing, length of residence, current smoker, current drinker, physical activities, medical history, geographic size, number of older persons, number of elderly and social centres.