Displaying all 12 publications

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  1. Azizan NA, Thangiah N, Su TT, Majid HA
    Int Health, 2018 03 01;10(2):108-115.
    PMID: 29462331 DOI: 10.1093/inthealth/ihy001
    Background: The purpose of this study was to identify the unhealthy dietary habits and practices in a low-income community in an urban area and determine the associated factors.

    Methods: A cross-sectional survey was conducted in a low-income housing area in Kuala Lumpur, Malaysia. Data were collected using a questionnaire via face-to-face interviews by trained enumerators in order to obtain details on sociodemographic characteristics and dietary practices.

    Results: Descriptive statistics showed that 86.7% of the respondents in the low-income community consumed fruit and vegetables less than five times per day, 11.7% consumed carbonated and sweetened drinks more than twice per day and about 25% consumed fast food more than four times per month. In total, 65.2% (n=945) did not have healthy dietary practices. Binary logistic regression showed that age, education and ethnicity were significant predictors of unhealthy dietary practices among the low-income community. Those in the 30-59 years age group had higher odds (odds ratio 1.65, p=0.04) of practising an unhealthy diet as compared with those older than 60 years of age.

    Conclusion: Unhealthy dietary practices were found to be common among the low-income group living in an urban area. Healthy lifestyle intervention should be highlighted so that it can be adopted in the low-income group.

  2. Shah NM, Aghamohammadi N, Thangiah N, Ng AK, Majid HA
    Sci Rep, 2023 May 15;13(1):7841.
    PMID: 37188720 DOI: 10.1038/s41598-023-34699-3
    Studies have shown the prevalence of mental health and obesity among adolescents is at increasing trend due to urbanisation and changes in lifestyle. This study is to investigate the level of stress and its impact on eating behaviour among Malaysian adolescents. A total of 797 multi-ethnic Malaysian secondary school student participated in this cross-sectional study. Data was collected two weeks prior to final year examination. A validated Cohen Perceived Stress Scale questionnaire was used to assess the stress level with subsample analysis of 261 participants' saliva cortisol level. A validated Child Eating Behaviour questionnaire was used to explore eating behaviours. There were 29.1% adolescents having high stress with the mean saliva cortisol 3.8 nmol/L. A positive correlation was observed between perceived stress and emotional overeating; stronger among urban (r = 0.32), female (r = 0.31), underweight (r = 0.34) and moderately stressed adolescents (r = 0.24). In addition, a positive correlation was found between perceived stress and food responsiveness; strongest among Malay (r = 0.23), male (r = 0.24), underweight (r = 0.30) and adolescents with high perceived stress (r = 0.24). The perceived stress level prior to exam period affects the emotional eating and external eating patterns of adolescents.
  3. Su TT, Amiri M, Mohd Hairi F, Thangiah N, Dahlui M, Majid HA
    Biomed Res Int, 2015;2015:174821.
    PMID: 25710002 DOI: 10.1155/2015/174821
    This study aims to compare various body composition indices and their association with a predicted cardiovascular disease (CVD) risk profile in an urban population in Kuala Lumpur, Malaysia.
  4. Amiri M, Majid HA, Hairi F, Thangiah N, Bulgiba A, Su TT
    BMC Public Health, 2014;14 Suppl 3:S3.
    PMID: 25436515 DOI: 10.1186/1471-2458-14-S3-S3
    Objectives: The objectives are to assess the prevalence and determinants of cardiovascular disease (CVD) risk factors among the residents of Community Housing Projects in metropolitan Kuala Lumpur, Malaysia.
    Method: By using simple random sampling, we selected and surveyed 833 households which comprised of 3,722 individuals. Out of the 2,360 adults, 50.5% participated in blood sampling and anthropometric measurement sessions. Uni and bivariate data analysis and multivariate binary logistic regression were applied to identify demographic and socioeconomic determinants of the existence of having at least one CVD risk factor.
    Results: As a Result, while obesity (54.8%), hypercholesterolemia (51.5%), and hypertension (39.3%) were the most common CVD risk factors among the low-income respondents, smoking (16.3%), diabetes mellitus (7.8%) and alcohol consumption (1.4%) were the least prevalent. Finally, the results from the multivariate binary logistic model illustrated that compared to the Malays, the Indians were 41% less likely to have at least one of the CVD risk factors (OR = 0.59; 95% CI: 0.37 - 0.93).
    Conclusion: In Conclusion, the low-income individuals were at higher risk of developing CVDs. Prospective policies addressing preventive actions and increased awareness focusing on low-income communities are highly recommended and to consider age, gender, ethnic backgrounds, and occupation classes.
  5. Su TT, Amiri M, Mohd Hairi F, Thangiah N, Bulgiba A, Majid HA
    Biomed Res Int, 2015;2015:516984.
    PMID: 25821810 DOI: 10.1155/2015/516984
    We aimed to predict the ten-year cardiovascular disease (CVD) risk among low-income urban dwellers of metropolitan Malaysia. Participants were selected from a cross-sectional survey conducted in Kuala Lumpur. To assess the 10-year CVD risk, we employed the Framingham risk scoring (FRS) models. Significant determinants of the ten-year CVD risk were identified using General Linear Model (GLM). Altogether 882 adults (≥30 years old with no CVD history) were randomly selected. The classic FRS model (figures in parentheses are from the modified model) revealed that 20.5% (21.8%) and 38.46% (38.9%) of respondents were at high and moderate risk of CVD. The GLM models identified the importance of education, occupation, and marital status in predicting the future CVD risk. Our study indicated that one out of five low-income urban dwellers has high chance of having CVD within ten years. Health care expenditure, other illness related costs and loss of productivity due to CVD would worsen the current situation of low-income urban population. As such, the public health professionals and policy makers should establish substantial effort to formulate the public health policy and community-based intervention to minimize the upcoming possible high mortality and morbidity due to CVD among the low-income urban dwellers.
  6. Thangiah N, Chinna K, Su TT, Jalaludin MY, Al-Sadat N, Majid HA
    PMID: 32257989 DOI: 10.3389/fpubh.2020.00069
    Background: Cardiovascular disease (CVD) risk factors tend to cluster and progress from adolescence to young adulthood. Reliable and meaningful clustering of CVD risk factors is essential to circumvent loss of information. Tracking adverse and high-risk profiles of adolescents is hoped to curb CVD progression later in life. The study aims to investigate the clustering of biological CVD risk factor among adolescents in Malaysia and the transitions between clusters over time. Method: The Malaysian Health and Adolescents Longitudinal Research Team study (MyHeARTs) examined school students aged 13 in 2012 and re-examined them in 2014 and 2016. In a two-stage stratified cluster sampling, 1,361 students were recruited, of which, 1,320 had complete data. In the follow-up, there were 881 and 637 students in 2014 and in 2016, respectively. Pearson's correlation coefficients were used to identify and remove highly correlated CVD risk factors. All risk factors were standardized into z-scores. The hierarchical and non-hierarchical (k-means) cluster analyses were used to classify students into high, medium and low risk clusters in each screening year. The tracking and stability of cluster transitions through cross-classification were enumerated with Pearson's inter-age correlations and percentages. Results: Three significant clusters of high, medium and low risk groups were derived from the clustering of eight biological CVD risk factors. The transitions between risk clusters from one screening year to the other were categorized as either stagnant, improved or adverse. The number of students who had adverse transitions increased from 15.5% (13-15 year) to 19.5% (15-17 year), 13.8 to 18.2% among the girls and 19.9 to 22.8% among the boys. For girls, the number of them who remained at high risk over the two transition periods were about the same (13.6 vs. 13.8%) whereas for boys, the percentage reduced from 14.6 to 12.3%. Conclusion: Over time, more than 12% of adolescents remained in the high risk cluster. There were sizable adverse transitions over time as more adolescents appear to be shifting toward an increased risk of having CVD. Collaborative and constant measures should be taken by parents, school, health promotion boards and policy makers to curb the multiplicative effect of clustering CVD risk factors among adolescents.
  7. Su TT, Azzani M, Adewale AP, Thangiah N, Zainol R, Majid H
    J Epidemiol, 2019 Feb 05;29(2):43-49.
    PMID: 29962493 DOI: 10.2188/jea.JE20170183
    BACKGROUND: The aim of this research is to assess the level of physical activity (PA) in relation to different socio-economic factors and to examine the effect of the recommended level of PA on the domains of quality of life (QoL) among residents of low-income housing in the metropolitan area of Kuala Lumpur, Malaysia.

    METHODS: This was a cross-sectional study that included 680 respondents from community housing projects. Reported PA was assessed using the Global Physical Activity Questionnaire (GPAQ) short form version 2. The SF-12v2 was administered to assess the health-related QoL (HRQoL) among the study population. Respondents were grouped into "active" and "insufficient" groups according to reported weekly PA level. One-way analysis of variance, analysis of co-variance, and multiple linear regression were used in the analysis.

    RESULTS: Overall, 17.6% (95% CI, 14.3-20.9) of the respondents did not achieve the recommended levels of PA (≥600 metabolic equivalent [MET]-minutes week-1). Level of achieving recommended PA was higher among younger participants, females, members belonging to nuclear families, and in self-employed participants. The group that fulfilled recommended PA levels (active) has higher levels of QoL in all domains except physical functioning.

    CONCLUSIONS: Almost one out of five low-income urban residents were physically inactive. In addition, individuals who attained recommended PA levels had better scores on some domains of HRQOL than those who did not. Our findings call for tailor-made public health interventions to improve PA levels among the general population and particularly for low-income residents.
  8. Thangiah N, Su TT, Chinna K, Jalaludin MY, Mohamed MNA, Majid HA
    Sci Rep, 2021 09 27;11(1):19135.
    PMID: 34580328 DOI: 10.1038/s41598-021-98127-0
    The study aims to create a composite risk index of CVD among adolescents and examine the influence of demographic, socioeconomic and lifestyle-related risk factors on the composite risk index of biological CVD risk factors among adolescents in Malaysia. A Malaysian adolescent cohort of 1320 adolescents were assessed at 13, 15 and 17 years. Seven biological CVD risk factors with moderate correlation were identified, standardized and averaged to form a composite CVD risk index. Generalised estimating equation using longitudinal linear regression was used to examine the effects of changes in adolescent lifestyle-related risk factors on the composite CVD risk index over time. From the ages 13 to 17 years, physical fitness (β = - 0.001, 90% CI = - 0.003, 0.00002) and BMI (β = 0.051, 95% CI = 0.042, 0.060) were significant predictors of attaining high scores of CVD risk. Female (β = 0.118, 95% CI = 0.040, 0.197), Chinese (β = 0.122, 95% CI = 0.006, 0.239), Indians (β = - 0.114, 95% CI = - 0.216, - 0.012) and adolescents from rural schools (β = 0.066, 95% CI = - 0.005, 0.136) were also found to be considerably significant. A more robust and gender-specific intervention programme focusing on healthy lifestyle (including achieving ideal BMI and improving physical fitness) need to be implemented among school-going adolescents.
  9. Su TT, Majid HA, Nahar AM, Azizan NA, Hairi FM, Thangiah N, et al.
    BMC Public Health, 2014;14 Suppl 3:S4.
    PMID: 25436830 DOI: 10.1186/1471-2458-14-S3-S4
    Death rates due to hypertension in low and middle income countries are higher compared to high income countries. The present study is designed to combine life style modification and home blood pressure monitoring for control of hypertension in the context of low and middle income countries.
  10. Su TT, Majid HA, Nahar AM, Azizan NA, Hairi FM, Thangiah N, et al.
    BMC Public Health, 2017 11 06;17(1):864.
    PMID: 29110641 DOI: 10.1186/s12889-017-4862-y
    After publication of the article [1], it has been brought to our attention that the methodology outlined in the original article was not able to be fully carried out. The article planned a two armed randomized control trial. However, due to a lower response than expected and one housing complex dropping out from the study, the method was changed to pre- and post-intervention with no control group. All other methods were conducted as outlined in the original article.
  11. Yasin RM, Tan MP, Said MA, Rasul MS, Thangiah N, Rizal H, et al.
    Front Public Health, 2024;12:1164056.
    PMID: 38504686 DOI: 10.3389/fpubh.2024.1164056
    INTRODUCTION: Education improves the economy and quality of life. The availability of skilled education in Malaysia is not restricted to the younger generation but is available to people of all ages, including those with low incomes.

    METHODS: This study used the EuroQol 5-Dimension 5-Level (EQ- 5D-5L) tool during the COVID-19 pandemic to examine relationships between socio-demographics, knowledge, and attitudes towards education and outcomes of health-related quality of life (HRQOL). Between September and October 2020 and January and February 2021, a cross-sectional study using a multi-stage sampling technique was carried out.

    RESULTS: A total of 1,997 adults participated, with a mean age of 45.17 (SD 14.113). In total, 74.9% had good knowledge, while 59.8% had a positive attitude towards skill education. In univariate analyses, the EQ-5D-5L score was related to age, income, education level, marital status, employment status, financial strain level, and knowledge and attitude towards skilled education. Generalised linear model analyses demonstrated that lower EQ-5D-5L scores were associated with older age, financial constraints, and a negative attitude towards skills education. However, additional adjustments for knowledge and attitude towards skills education show only an increase in age and financial strain was significant.

    CONCLUSION: The findings suggest that appropriate strategies be implemented to increase low-income populations' knowledge and attitude towards skill education. Improving education may improve the quality of life for this vulnerable group. Additionally, a qualitative study can be conducted to determine the barriers to low-income households participating in skilled education to fill in the knowledge gap.

  12. Sabri MF, Said MA, Magli AS, Pin TM, Rizal H, Thangiah N, et al.
    Int J Environ Res Public Health, 2022 Sep 30;19(19).
    PMID: 36231818 DOI: 10.3390/ijerph191912520
    This cross-sectional study examined the relationships of financial literacy (FL) and financial behaviour (FB) with health-related quality of life (HRQOL) during the COVID-19 pandemic among low-income working population (20-60 years old) in Malaysia. A self-administered questionnaire survey was used with HRQOL data were gathered using the EuroQol 5-Dimension 5-Level (EQ-5D-5L) tool. A generalised linear model was employed to examine the hypothesised relationships between the constructs. From 1186 respondents, the majority were employed (73.9%), had a monthly household income of less than RM 2500 (74.5%), and did not have any chronic medical conditions (74.5%). The mean (SD) values of FL, FB, and EQ-5D-5L were 5.95 (1.48), 22.08 (4.79), and 0.96 (0.10), respectively. The results of the adjusted model revealed lower age group, Malay ethnicity, Indian ethnicity, and increased FB score as significant determinants of higher EQ-5D-5L scores. With the addition of the chronic medical condition factor into the saturated model, the lower age group, ethnicity, and no chronic medical condition were significant determinants of higher HRQOL. The effects of FB on QOL were confounded by chronic diseases, implying that interventions that focus on improving FB for those with chronic medical condition may help to improve the QOL among the low-income working population.
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