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Fulltext Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Salarzadeh Jenatabadi H, Bt Wan Mohamed Radzi CWJ, Samsudin N

Int J Environ Res Public Health, 2020 07 18;17(14).
PMID: 32708480 DOI: 10.3390/ijerph17145201

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

Matched MeSH terms: Obesity/ethnology*
Fulltext Association of major dietary patterns with obesity risk among Mongolian men and women

Dugee O, Khor GL, Lye MS, Luvsannyam L, Janchiv O, Jamyan B, et al.

Asia Pac J Clin Nutr, 2009;18(3):433-40.
PMID: 19786392

Mongolia is experiencing changes in its unique nomadic lifestyle and dietary habits in the last two decades with accompanying increase in obesity rate. The dietary pattern approach, which investigates the overall diet in relation to obesity risks, has become appealing in nutrition epidemiology. The aim of this study was to identify major dietary patterns of the Mongolian adults in relation to the risk of having obesity. Dietary intake of a total 418 adults aged ? 25 years was assessed by using a food frequency questionnaire with 68 items. An exploratory factor analysis resulted in three dietary patterns: transitional high in processed meat and potato, traditional rich in whole milk, fats and oils and healthy with greater intake of whole grains, mixed vegetables and fruits. Individuals in the upper quintile of the transitional pattern had significantly greater risk of obesity (BMI > or =25 kg/m2: OR=2.47; 95% CI=1.04-5.86) while subjects in the highest quintile of the healthy dietary pattern were found to have significantly decreased risk of obesity (OR: 0.49; 95% CI=0.25-0.95). Men in the highest quintile of the transitional pattern had greater risk of abdominal obesity WC > or =90 cm: OR= 4.08; 95% CI=1.11-14.97) than those in the lowest quintile. Women in the top quintile of the traditional pattern had a greater odds of having abdominal obesity (WC > or =80 cm: OR=4.59; 95% CI=1.58-13.30) than those in the lowest quintile. The study suggests that public health efforts be targeted at adults in Mongolia to address the undesirable aspects of the transitional and the traditional dietary patterns.

Matched MeSH terms: Obesity/ethnology
Association of UCP1 -3826A/G and UCP3 -55C/T gene polymorphisms with obesity and its related traits among multi-ethnic Malaysians

Lee KH, Chai VY, Kanachamy SS, Say YH

Ethn Dis, 2015;25(1):65-71.
PMID: 25812254

Our study investigated the association of UCP1 -3826A/G and UCP3 -55C/T single nucleotide polymorphisms (SNPs) with obesity and its related traits among multi-ethnic Malaysians.

Matched MeSH terms: Obesity/ethnology*
Fulltext Anthropometric indices and life style practices of the indigenous Orang Asli adults in Lembah Belum, Grik of Peninsular Malaysia

Yusof HM, Ching TS, Ibrahim R, Lola S

Asia Pac J Clin Nutr, 2007;16(1):49-55.
PMID: 17215180

A nutritional status survey of Orang Asli (Aboriginal) adults in Lembah Belum, Grik, has been conducted involving a total of 138 subjects. Jahai (58.7%) was the main ethnic group as compared to that of Temiar (41.3%). Based on the Body Mass Index (BMI) characteristics, the majority (63.2%) of the respondents were normal, 26.7% underweight and 10.1% were either overweight or obese. However, by using two different indices of waist circumference and waist-to-hip ratio, 1.6% and 10.8% of the total respondents revealed abdominal obesity, respectively. Measurement of mid upper arm muscle circumference (MUAMC) indicated that about 40% showed nutritional insufficiency whereas 0.8% showed over-nutrition. Body fat classification revealed that 53.4% of the respondents were thin, 45.8% at normal level and only 0.8% were obese. Student's t-test revealed a significant difference in anthropometric indices of body weight, height, MUAMC, triceps, sub-scapular, supra-iliac and body fat according to gender. Meanwhile, analysis of variance (ANOVA) showed significant differences in body weight, waist circumference, WHR and body fat according to different age categories. It was also found that those who smoked had lower BMI compared with non-smokers. Alcohol consumption was associated with higher BMI and WHR among the respondents. Pearson's correlation test between anthropometric measurements and socio-economic and demographic factors showed that ethnic group was the strongest variable.

Matched MeSH terms: Obesity/ethnology*
Altered circulating concentrations of active glucagon-like peptide (GLP-1) and dipeptidyl peptidase 4 (DPP4) in obese subjects and their association with insulin resistance

Ahmed RH, Huri HZ, Muniandy S, Al-Hamodi Z, Al-Absi B, Alsalahi A, et al.

Clin Biochem, 2017 Sep;50(13-14):746-749.
PMID: 28288852 DOI: 10.1016/j.clinbiochem.2017.03.008

OBJECTIVES: Soluble DPP4 (sDPP4) is a novel adipokine that degrades glucagon-like peptide (GLP-1). We evaluated the fasting serum levels of active GLP-1 and sDPP4 in obese, overweight and normal weight subjects to assess the association between sDPP4 levels, active GLP-1 levels and insulin resistance in obese subjects.
METHODS: The study involved 235 Malaysian subjects who were randomly selected (66 normal weight subjects, 97 overweight, 59 obese subjects, and 13 subjects who were underweight). Serum sDPP4 and active GLP-1 levels were examined by enzyme-linked immunosorbent assay (ELISA). Also, body mass index kg/m(2) (BMI), lipid profiles, insulin and glucose levels were evaluated. Insulin resistance (IR) was estimated via the homeostasis model assessment for insulin resistance (HOMA-IR).
RESULTS: Serum sDPP4 levels were significantly higher in obese subjects compared to normal weight subjects (p=0.034), whereas serum levels of active GLP-1 were lower (p=0.021). In obese subjects, sDPP4 levels correlated negatively with active GLP-1 levels (r(2)=-0.326, p=0.015). Furthermore, linear regression showed that sDPP4 levels were positively associated with insulin resistance (B=82.28, p=0.023) in obese subjects.
CONCLUSION: Elevated serum sDPP4 levels and reduced GLP-1 levels were observed in obese subjects. In addition, sDPP4 levels correlated negatively with active GLP-1 levels but was positively associated with insulin resistance. This finding provides evidence that sDPP4 and GLP-1 may play an important role in the pathogenesis of obesity, suggesting that sDPP4 may be valuable as an early marker for the augmented risk of obesity and insulin resistance.

Matched MeSH terms: Obesity/ethnology
Adult anthropometric measures and socio-demographic factors influencing age at menarche of university students in malaysia

Hossain MG, Wee AS, Ashaie M, Kamarul T

J Biosoc Sci, 2013 Sep;45(5):705-17.
PMID: 23480448 DOI: 10.1017/S0021932013000060

Early onset of menarche has been shown to be associated with breast cancer and ischaemic heart disease. Studies on age at menarche of the Malaysian population are poorly documented. This study aimed to determine the influence of anthropometric and socio-demographic factors on the age at menarche of university students in Malaysia. Data were obtained in 2010-11 from 961 students between the ages of 18 and 25 years from the University of Malaya using stratified sampling, and multiple regression analysis was applied. Sixty-three per cent of students reached menarche at the age of 12 or 13 years, with the mean and median of age at menarche being 12.45 ± 1.17 and 12.01 years, respectively. Menarcheal age was positively associated with height (p<0.05) and negatively associated with BMI (p<0.001). Students from urban areas attained menarche earlier than those from rural areas (p<0.05). Students from small-sized families attained menarche earlier than those from larger families (p<0.05). First-born students experienced menarche earlier than those who were seventh-born or later. Obese and overweight students reached menarche earlier than students who were underweight or of normal weight (p<0.01). The variations in age at menarche among the Malaysian ethnic groups were statistically insignificant. The results suggest that heavier and first-born students from small families are more likely to attain menarche earlier than their counterparts.

Matched MeSH terms: Obesity/ethnology