Association between dietary patterns and overweight risk among Malaysian adults: evidence from nationally representative surveys

Shyam, Sangeetha; Khor, Geok Lin; Ambak, Rashidah; Mahadir, Balkish; Hasnan, Mohamad; Ambu, Stephen; Chu, Wan-Loy; Aris, Tahir

doi:10.1017/s1368980019001861

Cited by 19 publications

(25 citation statements)

References 14 publications

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“…This finding also justifies the permanence of the association of dietary patterns with obesity in women, but not in men from the Brazilian region evaluated in this study. Finally, also in agreement with our findings, unhealthy dietary patterns had no significant association with abdominal obesity [ 88 , 89 ].…”

Section: Discussionsupporting

confidence: 92%

“…As far as we know, this is the first population-based study that assessed adherence to dietary patterns determined a posteriori and its association with obesity and abdominal obesity in a rural area, taking into account the labor aspects of farmers. However, in the general population, some studies that evaluated dietary patterns using this method [ 87 , 88 ], including meta-analyses [ 69 , 70 ], also identified that greater adherence to healthier dietary patterns (often represented by traditional dietary patterns) was associated with a lower risk of obesity. Individuals in the highest categories of adherence to these healthy dietary patterns were 36% less likely to have general obesity (OR = 0.64; 95% CI = 0.52–0.78; P < 0.001) [ 90 ] and 19% less likely to have central obesity (OR = 0.81; 95% CI = 0.66–0.96; P < 0.001) [ 89 ].…”

Section: Discussionmentioning

confidence: 99%

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Prevalence and determinants of obesity and abdominal obesity among rural workers in Southeastern Brazil

et al. 2022

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The objectives of this study were to assess the nutritional status of rural workers from a municipality in Southeastern Brazil and estimate the association of sociodemographic, labor, lifestyle, and dietary pattern factors with obesity and abdominal obesity of men and women of this rural area. This is a cross-sectional, epidemiological study of 740 farmers (51.5%, n = 381 males; 48.5%, n = 359 females). The sociodemographic, labor, lifestyle and dietary patterns determinants were assessed. Food intake data were obtained by applying three 24-hour recalls and dietary patterns were determined by Principal Component Analysis with Varimax orthogonal rotation. Poisson regression with robust variance stratified by sex was applied. The general prevalence of overweight status was 31.5% (95% CI 28.2–34.8%), 19.7% of obesity (95% CI 16.8–22.6%) and 31.5% of abdominal obesity (95% CI 28.2–34.8%), with higher rates in women (P < 0.001). Men of higher socioeconomic class had a 2.3 times higher prevalence of obesity (95% CI 1.08–4.90). In addition, the shorter travel time to purchase food increased the prevalence of abdominal obesity in males. For women, the older the age group, the greater the general and central obesity. A lower adherence to traditional dietary patterns (approximately PR [prevalence ratio] 1.6 for general obesity and PR 1.3 for abdominal obesity) and a greater number of places to buy food were associated with higher rates of obesity in women. Finally, women farmers with a higher workload had a 20% lower prevalence of central obesity (PR 0.80; 95% CI 0.65–0.97). Such findings demonstrate that obesity must be an issue in the health care of remote and rural populations. There is a need to promote healthier environments that respect traditional food culture through multiple approaches that consider the heterogeneity of rural areas and the differences between sexes.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Prevalence and determinants of obesity and abdominal obesity among rural workers in Southeastern Brazil

et al. 2022

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“…Eating foods high in saturated fat, trans fat, salt, and sugar is also associated with a high risk of CVD. Previous studies conducted among Malaysians showed that Malays had poor eating habits associated with the risk of developing CVD [ 43 , 44 ].…”

Section: Discussionmentioning

confidence: 99%

The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model

et al. 2022

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Background and Objectives: Globorisk is a well-validated risk prediction model that predicts cardiovascular disease (CVD) in the national population of all countries. We aim to apply the Globorisk calculator and provide the overall, sex-specific, ethnic-specific, region-specific, and state-specific 10-year risk for CVD among Malaysian adults. Materials and Methods: Using Malaysia’s risk factor levels and CVD event rates, we calculated the laboratory-based and office-based risk scores to predict the 10-year risk for fatal CVD and fatal plus non-fatal CVD for the Malaysian adult population. We analysed data from 8253 participants from the 2015 nationwide Malaysian National Health and Morbidity Survey (NHMS 2015). The average risk for the 10-year fatal and fatal plus non-fatal CVD was calculated, and participants were further grouped into four categories: low risk (<10% risk for CVD), high risk A (≥10%), high risk B (≥20%), and high risk C (≥30%). Results: Results were reported for all participants and were then stratified by sex, ethnicity, region, and state. The average risks for laboratory-based fatal CVD, laboratory-based fatal plus non-fatal CVD, and office-based fatal plus non-fatal CVD were 0.07 (SD = 0.10), 0.14 (SD = 0.12), and 0.11 (SD = 0.09), respectively. Conclusions: There were substantial differences in terms of the sex-, ethnicity- and state-specific Globorisk risk scores obtained.

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“…Eating foods high in saturated fat, trans fat, salt, and sugar are also associated with a high risk of CVD. Previous studies conducted among Malaysians showed that Malays had poor eating habits associated with the risk of developing CVD 33,34 .…”

Section: Discussionmentioning

confidence: 99%

The Ten-year Risk Prediction for Cardiovascular Disease in the National Population (Globorisk) of Malaysian Adults

Musa¹,

Nawi²,

Omar³

et al. 2021

Preprint

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Globorisk is a novel risk prediction model that predicts cardiovascular disease (CVD) in the national population of all world countries. Using Malaysia's risk factor levels and CVD event rates, we calculated the laboratory-based and office-based risk scores to predict the 10-year risk for fatal CVD and fatal plus non-fatal CVD for the Malaysian adult population. We analysed data from 8253 participants from the 2015 nationwide Malaysian National Health and Morbidity Survey (NHMS 2015). The average risk for the 10-year fatal and fatal plus non-fatal CVD was calculated, and participants were further grouped into four categories: Low Risk (<10% risk for CVD), High-Risk A (≥10%), High-Risk B (≥20%) and High-Risk C (≥30%). Results were reported for all participants and were then stratified by sex, race, region, and state. The average risks for laboratory-based fatal CVD, laboratory-based fatal plus non-fatal CVD and office-based fatal plus non-fatal CVD were 0.07 (SD = 0.10), 0.14 (SD = 0.12) and 0.11 (SD = 0.09), respectively. There were substantial differences in terms of the sex-, race- and state-specific Globorisk risk scores obtained.

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Association between dietary patterns and overweight risk among Malaysian adults: evidence from nationally representative surveys

Cited by 19 publications

References 14 publications

Prevalence and determinants of obesity and abdominal obesity among rural workers in Southeastern Brazil

Prevalence and determinants of obesity and abdominal obesity among rural workers in Southeastern Brazil

The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model

The Ten-year Risk Prediction for Cardiovascular Disease in the National Population (Globorisk) of Malaysian Adults

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