| Literature DB >> 35329282 |
Abstract
In Malaysia, the population of older adults will increase in the coming years. In this context, there is a requirement to build an age-friendly environment to enable the elderly to age healthily. Many studies have shown that a built environment that allows older adults to age in place improves their mental health. However, person-environment analysis that considers mental well-being has remained rare for older adults living in Malaysia. This study examines the relationship between Malaysian seniors' perceptions of their surroundings at home and in the neighborhood and their mental health. Using stratified sampling, 510 seniors aged 60 and over were interviewed. The results showed that accessibility (p-value 0.033, 95% CI for coefficients 0.006, 0.146), environmental qualities (0.015, 0.014, 0.129) and neighborhood problems (0.000, -0.299, -0.146) were significant determinants of elderly people's mental health. With respect to respondents' socio-demographic characteristics, female elderly (0.000, 0.616, 0.782), older adults with an elementary education (0.000, 0.263, 0.685) or a college degree (0.026, 0.019, 0.294), being married (0.005, 0.047, 0.259), the ability to drive (0.000, 0.993, 1.315), the number of dependents in the family (0.003, -0.060, -0.012), and homeownership (0.000, -0.602, -0.271) were significantly related to mental well-being.Entities:
Keywords: Malaysia; environmental attributes; health-related quality of life; urban
Mesh:
Year: 2022 PMID: 35329282 PMCID: PMC8949010 DOI: 10.3390/ijerph19063595
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Location of Bandar Sunway. Source: [53].
Figure 2Targeted areas of the study (PJS7, PJS9, PJS 11). Source: [54].
Measures of surveyed variables.
| Items | Coding | CR, AVE | |
|---|---|---|---|
| Home environment [ | How well are your housing needs met? | 1 = poor | CR = 0.920 |
| Accessibility [ | A1: Stores are within easy walking distance of my home | 1 = strongly disagree | CR = 0.934 |
| Pedestrian connectivity [ | PC1: There are sidewalks on most of the streets in my neighborhood | CR = 0.924 | |
| Neighborhood safety [ | S1: There is a low crime rate in my neighborhood | CR = 0.974 | |
| Environmental quality [ | EQ1: In my neighborhood, there are attractive natural sights. | CR = 0.954 | |
| Neighborhood problems [ | NP 1: Noise pollution | 1 = not at all | CR = 0.958 |
| Mental health [ | MH1: I was bothered by things that usually don’t bother me | 1 = rarely | CR = 0.973 |
Respondents’ demographic information.
| Descriptors | Details | Percentage (Frequency) |
|---|---|---|
| Gender | Female | 50.60 (258) |
| Male | 49.40 (252) | |
| Marital status | Married | 80.20 (409) |
| Others (i.e., widowed, divorced, separated, or never married) | 19.80 (101) | |
| Retired | No | 52.00 (265) |
| Yes | 48.00 (245) | |
| Tenure status | Own | 93.70 (478) |
| Rent | 6.30 (32) | |
| Driving own car | Yes | 83.50 (426) |
| No | 16.50 (84) | |
| Age | 60–70 | 92.90 (474) |
| Above 70 | 7.10 (36) | |
| Race | Chinese | 54.90 (280) |
| Malay | 33.90 (173) | |
| Indian | 9.40 (48) | |
| Others (i.e., other indigeneous, non-citizen) | 1.80 (9) | |
| Education | Primary | 6.70 (34) |
| Secondary | 54.5 (278) | |
| College | 29.0 (148) | |
| Others (professional certificates, etc) | 9.80 (50) | |
| Household size (average) | 4.32 members |
Results of regression for mental health.
| B | Std. Error | t | 95% LCI | 95% UCI | ||
|---|---|---|---|---|---|---|
| Constant | 2.766 | 0.302 | 9.152 | 0.000 | 2.172 | 3.360 |
| Home environment | −0.038 | 0.028 | −1.354 | 0.176 | −0.093 | 0.017 |
| Neighborhood safety | −0.033 | 0.029 | −1.118 | 0.264 | −0.091 | 0.025 |
| Accessibility | 0.076 | 0.036 | 2.134 | 0.033 | 0.006 | 0.146 |
| Neighborhood problems | −0.222 | 0.039 | −5.702 | 0.000 | −0.299 | −0.146 |
| Pedestrian connectivity | −0.040 | 0.035 | −1.132 | 0.258 | −0.109 | 0.029 |
| Environmental quality | 0.071 | 0.029 | 2.447 | 0.015 | 0.014 | 0.129 |
| Retired | −0.049 | 0.090 | −0.541 | 0.588 | −0.227 | 0.129 |
| Age above 70 years old (ref group) | ||||||
| Age 60–70 years old | 0.098 | 0.058 | 1.687 | 0.092 | −0.016 | −0.212 |
| Female | 0.699 | 0.042 | 16.554 | 0.000 | 0.616 | 0.782 |
| Other race (ref group) | ||||||
| Chinese | −0.203 | 0.149 | −1.366 | 0.173 | −0.495 | 0.089 |
| Malay | −0.228 | 0.150 | −1.520 | 0.129 | −0.522 | −0.067 |
| Indian | −0.155 | 0.157 | −0.988 | 0.324 | −0.464 | −0.153 |
| Other qualification (ref group) | ||||||
| Elementary school | 0.474 | 0.107 | 4.416 | 0.000 | 0.263 | 0.685 |
| Secondary school | 0.124 | 0.075 | 1.641 | 0.102 | −0.024 | 0.272 |
| College | 0.156 | 0.070 | 2.230 | 0.026 | 0.019 | 0.294 |
| Married | 0.153 | 0.054 | 2.833 | 0.005 | 0.047 | 0.259 |
| Household size | −0.036 | 0.012 | −2.984 | 0.003 | −0.069 | −0.012 |
| Homeowner | −0.437 | 0.084 | −5.179 | 0.000 | −0.602 | −0.271 |
| Driving | 1.154 | 0.082 | 14.062 | 0.000 | 0.993 | 1.315 |
| R Square | 0.820 | |||||
| Adjusted R Square | 0.813 | |||||
| F, | 117.428, 0.000 | |||||