Prevalence of Obesity and Its Associated Factors Among Malaysian Adults: Finding From the National Health and Morbidity Survey 2019

Active aging is important for promoting the health, wellbeing, and participation of older adults. This study investigated the association between active aging and mortality risk among 2230 respondents aged 60 and older. Principal component analysis extracted a five-factor structure from 15 indicators of active aging. The mean active aging score was 55.57 and the median was 53.33. The Kaplan-Meier curve showed that individuals with active aging scores of 53.33 and above had significantly longer survival than those below the median. Cox regression analysis indicated the significance of active aging in reducing mortality risk by 2.5% after adjusting for sex, marital status, age, ethnicity, chronic diseases, and risk factors. The active aging approach comprising health, economic, and social factors is crucial in improving survival among older adults. Hence, policies and programs that promote active aging should be encouraged to enhance the health and wellbeing of older adults and their engagement in society.

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“…Risk factors such as abdominal obesity and obesity were also included in this analysis. [19][20][21][22]…”

Section: Other Variablesmentioning

confidence: 99%

Does Active Aging Reduce Mortality Risk Among Older Adults? A Survival Analysis in Malaysia

Tan

Hairi

Awang

2023

Asia Pac J Public Health

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“…Furthermore, according to Oo et al (2019), the Asia Roundtable on Food Innovation for Improved Nutrition (2016) calculated that the rising rate of obesity will cost between RM4.26 billion and RM8.53 billion. According to Chong et al (2022), in Malaysia, a countrywide survey by National Health and Morbidity Survey (NHMS) found that the prevalence of obesity rose from 15.1% to 17.7% and then 19.9% in 2011-2015 and 2019-2020, respectively. In addition, 20.1% of Malaysian adults between 18 and 59 were obese (Chong et al, 2022).…”

Section: Prevalence Of Obesitymentioning

confidence: 99%

“…According to Chong et al (2022), in Malaysia, a countrywide survey by National Health and Morbidity Survey (NHMS) found that the prevalence of obesity rose from 15.1% to 17.7% and then 19.9% in 2011-2015 and 2019-2020, respectively. In addition, 20.1% of Malaysian adults between 18 and 59 were obese (Chong et al, 2022).…”

Section: Prevalence Of Obesitymentioning

confidence: 99%

Prevalence of Obesity and Health-Promoting Lifestyle Among Nurses in a Tertiary Hospital, Malaysia

Sharoni

Hassan

Halim

et al. 2023

E-BPJ

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The study was conducted to determine the prevalence of obesity and health-promoting lifestyles among nurses in a tertiary hospital, Malaysia. Descriptive cross-sectional study of 417 nurses was conducted between July and August 2022 using the Health-Promoting Lifestyle Profile II (HPLP-II) scale. The study found majority of the respondents were obese (n = 233, 55.9%). The total score of Health-Promoting Lifestyle Profile II (HPLP-II) was 142.46±22.70. Body Mass Index and health responsibility were statistically correlated (r = 0.129, p = 0.009). Obesity among nurses is prevalent. Body weight management and exercise programs should be implemented to achieve healthy lifestyle among nurses.

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“…The Indian community resided in estates owned by British colonial authorities or private companies, which have since transformed into suburban areas. As higher prevalence of obesity was observed among non-Chinese ethnic groups [25][26][27][28], this could potentially reflect in a higher prevalence of obesity at non-urban areas. However, national surveys in Malaysia found no evidence of differences in the prevalence of obesity between the general urban rural divide [29].…”

Section: Introductionmentioning

confidence: 99%

Identifying obesogenic environment through spatial clustering of body mass index among adults

Wong,

Moy,

Shafie

et al. 2024

Int J Health Geogr

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Background The escalating trend of obesity in Malaysia is surmounting, and the lack of evidence on the environmental influence on obesity is untenable. Obesogenic environmental factors often emerge as a result of shared environmental, demographic, or cultural effects among neighbouring regions that impact lifestyle. Employing spatial clustering can effectively elucidate the geographical distribution of obesity and pinpoint regions with potential obesogenic environments, thereby informing public health interventions and further exploration on the local environments. This study aimed to determine the spatial clustering of body mass index (BMI) among adults in Malaysia. Method This study utilized information of respondents aged 18 to 59 years old from the National Health and Morbidity Survey (NHMS) 2014 and 2015 at Peninsular Malaysia and East Malaysia. Fast food restaurant proximity, district population density, and district median household income were determined from other sources. The analysis was conducted for total respondents and stratified by sex. Multilevel regression was used to produce the BMI estimates on a set of variables, adjusted for data clustering at enumeration blocks. Global Moran’s I and Local Indicator of Spatial Association statistics were applied to assess the general clustering and location of spatial clusters of BMI, respectively using point locations of respondents and spatial weights of 8 km Euclidean radius or 5 nearest neighbours. Results Spatial clustering of BMI independent of individual sociodemographic was significant (p < 0.001) in Peninsular and East Malaysia with Global Moran’s index of 0.12 and 0.15, respectively. High-BMI clusters (hotspots) were in suburban districts, whilst the urban districts were low-BMI clusters (cold spots). Spatial clustering was greater among males with hotspots located closer to urban areas, whereas hotspots for females were in less urbanized areas. Conclusion Obesogenic environment was identified in suburban districts, where spatial clusters differ between males and females in certain districts. Future studies and interventions on creating a healthier environment should be geographically targeted and consider gender differences.

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Prevalence of Obesity and Its Associated Factors Among Malaysian Adults: Finding From the National Health and Morbidity Survey 2019

Cited by 6 publications

References 42 publications

Does Active Aging Reduce Mortality Risk Among Older Adults? A Survival Analysis in Malaysia

Does Active Aging Reduce Mortality Risk Among Older Adults? A Survival Analysis in Malaysia

Prevalence of Obesity and Health-Promoting Lifestyle Among Nurses in a Tertiary Hospital, Malaysia

Identifying obesogenic environment through spatial clustering of body mass index among adults

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