| Literature DB >> 35627795 |
Norsyamlina Che Abdul Rahim1, Mohamad Hasnan Ahmad1, Cheong Siew Man1, Ahmad Ali Zainuddin1, Wan Shakira Rodzlan Hasani1, Shubash Shander Ganapathy1, Noor Ani Ahmad1.
Abstract
Malaysian Healthy Plate was launched in 2017 as a vital component of the Malaysian Ministry of Health's "Quarter-Quarter-Half" program. It is predicted that this concept will bring positive change to the citizen's dietary habits; however, the residents in rural areas may experience less exposure to this campaign, or lack of understanding to the concept of Malaysian Healthy Plate. Hence, this study aims to assess factors affecting the campaign's awareness among the rural population in Malaysia. The National Health and Morbidity Survey (NHMS) 2019 focused on Non-Communicable Diseases (NCDs). Data collection was carried out from July to September 2019. Questionnaires that pertained to awareness, knowledge, and practice were included in this nationwide survey. Data collected from adults in rural areas aged 18 years old and above were used as respondents for the statistical analysis. Complex sample multiple logistic regression analysis was conducted to determine the association between the independent variables and awareness of the Malaysian Healthy Plate concept. About four fifths (83.2%) of rural adults in Malaysia were unaware of the Malaysian Healthy Plate concept after three years of implementation. The unawareness was significantly higher in males (91.3%), adults aged above 60 years old (91.8%), adults of others ethnicity (88.5%), those without formal education (95.2%), widows/widowers/divorcees (88.1%), retirees/adults who were not working (88.4%), and household income at the bottom 40% (B40) (85.0%). Unawareness of this concept was significantly associated with male gender (aOR = 4.12; 95% CI: 3.06-5.56); age, 40-59 years (aOR = 1.46; 95% CI:1.08-1.97); without formal education (aOR = 3.47; 95% CI:1.34-9.01); working in private sector (aOR = 2.75; 95% CI: 1.59-4.77); self-employed (aOR = 2.78; 95% CI: 1.58-4.87); retirees (aOR = 2.32; 95% CI: 1.23-4.36); and unpaid workers (aOR = 2.61; 95% CI: 1.51-4.51). Awareness of the Malaysian Healthy Plate concept is associated with rural adults being males, with older age, with lower socio-economic status, without partner, and without job. This study suggests that a more effective strategy is needed to increase the awareness of the Malaysian Healthy Plate concept among rural adults.Entities:
Keywords: Malaysian Healthy Plate; adult; level of awareness; rural
Mesh:
Year: 2022 PMID: 35627795 PMCID: PMC9141116 DOI: 10.3390/ijerph19106257
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1The Malaysian Healthy Plate [11].
Prevalence of Malaysian Healthy Plate concept unawareness according to socio-demographic characteristics.
| Socio-Demographic Characteristics | Unawareness | ||||
|---|---|---|---|---|---|
| Unweighted Count | Estimated Population | Prevalence (%) | 95% Confidence Interval | ||
| Lower | Upper | ||||
| Gender | |||||
| Male | 1653 | 2,206,226 | 91.3 | 89.0 | 93.1 |
| Female | 1678 | 1,677,388 | 74.6 | 71.5 | 77.5 |
| Age group | |||||
| 18–39 years old | 1145 | 2,096,288 | 80.5 | 77.2 | 83.3 |
| 40–59 years old | 1153 | 1,061,047 | 83.6 | 80.7 | 86.2 |
| 60+ years old | 1033 | 726,278 | 91.8 | 89.1 | 93.9 |
| Ethnicity | |||||
| Malays | 2441 | 2,311,548 | 80.5 | 77.8 | 82.9 |
| Chinese | 129 | 79,569 | 82.4 | 72.1 | 89.4 |
| Indians | 93 | 36,675 | 70.3 | 61.7 | 77.7 |
| Others | 668 | 1,455,822 | 88.5 | 84.5 | 91.6 |
| Marital status | |||||
| Single | 660 | 1,146,797 | 83.7 | 79.9 | 86.9 |
| Married | 2206 | 2,369,561 | 82.3 | 79.8 | 84.6 |
| Widow/divorced | 465 | 367,256 | 88.1 | 84.0 | 91.3 |
| Education level | |||||
| No formal/unclassified | 408 | 503,773 | 95.2 | 90.9 | 97.6 |
| Primary | 1036 | 1,103,626 | 90.9 | 88.0 | 93.1 |
| Secondary | 1504 | 1,770,241 | 81.0 | 78.0 | 83.7 |
| Tertiary | 376 | 498,742 | 68.3 | 62.8 | 73.3 |
| Occupation | |||||
| Gov./semi gov. | 159 | 181,930 | 61.6 | 52.4 | 70.0 |
| Private | 738 | 1,133,113 | 86.0 | 82.2 | 89.1 |
| Self-employed | 832 | 979,628 | 86.8 | 83.3 | 89.6 |
| Retirees/not working | 837 | 752,989 | 88.4 | 84.1 | 91.7 |
| Student | 57 | 98,056 | 80.7 | 64.2 | 90.7 |
| Unpaid workers | 705 | 735,921 | 77.7 | 73.2 | 81.6 |
| Threshold household income | |||||
| Bottom 40% | 2456 | 2,891,265 | 85.0 | 82.6 | 87.1 |
| Middle 40% | 543 | 650,709 | 77.7 | 73.3 | 81.5 |
| Top 20% | 105 | 102,529 | 66.9 | 54.8 | 77.0 |
All the results were based on weighted estimates. Unawareness was defined as being unaware or never having heard of the Malaysian Health Plate concept.
Factors associated with unawareness of “Malaysian Healthy Plate” in rural areas.
| Variables | Complex Sample Logistic Regression Analysis | |
|---|---|---|
| OR | aOR | |
| Gender | ||
| Male | 3.56 (2.73–4.63) * | 4.17 (3.09–5.64) * |
| Female | 1 | 1 |
| Age group | ||
| 18–39 years old | 1 | 1 |
| 40–59 years old | 1.24 (0.99–1.56) | 1.46 (1.09–1.96) * |
| 60+ years old | 2.74 (1.89–3.96) * | 1.63 (0.92.89) |
| Ethnicity | ||
| Malays | 1 | 1 |
| Chinese | 1.13 (0.62–2.06) | 0.57 (0.15–2.14) |
| Indians | 0.57 (0.38–0.862) * | 0.84 (0.51–1.37) |
| Others | 1.86 (1.28–2.71) * | 1.48 (0.97–2.26) |
| Marital status | ||
| Single | 1 | 1 |
| Married | 0.79 (0.66–0.94) * | 0.80 (0.58–1.09) |
| Widow/divorced | 1.35 (1.02–1.79) * | 0.98 (0.56–1.72) |
| Education level | ||
| No formal/unclassified | 9.28 (4.43–19.42) * | 3.84 (1.47–10.04) * |
| Primary | 4.63 (3.23–6.63) * | 2.54 (1.52–4.25) * |
| Secondary | 1.99 (1.48–2.66) * | 1.30 (0.90–1.89) |
| Tertiary | 1 | 1 |
| Occupation | ||
| Gov./semi gov. | 1 | 1 |
| Private | 3.83 (2.43–6.01 )* | 2.68 (1.55–4.65) * |
| Self-employed | 4.09 (2.63–6.37) * | 2.70 (1.53–4.77) * |
| Retirees/not working | 4.76 (2.94–7.71) * | 2.31 (1.22–4.36) * |
| Student | 2.61 (1.03–6.65) * | 2.60 (0.86–7.83) |
| Unpaid workers | 2.18 (1.42–3.33) * | 2.62 (1.52–4.50) * |
| Threshold household income | ||
| Bottom 40% | 2.81 (1.68–4.70) * | 1.53 (0.81–2.88) |
| Middle 40% | 1.72 (1.04–2.87) * | 1.04 (0.55–1.96) |
| Top 20% | 1 | 1 |
| Fruit intake | ||
| Adequate | 1 | 1 |
| Inadequate | 0.89 (0.59–1.33) | 0.85 (0.52–1.37) |
| Vegetable intake | ||
| Adequate | 1 | 1 |
| Inadequate | 1.14 (0.73–1.78) | 1.31 (0.79–2.17) |
| Plain water intake | ||
| Adequate | 1 | 1 |
| Inadequate | 1.31 (0.98–1.76) | 1.29 (0.90–1.84) |
| Health literacy status | ||
| Limited | 2.26 (1.617–3.16) * | 1.38 (0.90–2.09) |
| Sufficient | 1.29 (0.95–1.76) | 1.22 (0.82–1.81) |
| Excellent | 1 | 1 |
OR: odds ratio; aOR: adjusted odds ratio; * significant p < 0.05 for complex sample logistic regression.