Displaying all 8 publications

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  1. Zalbahar N, Najman J, McIntrye HD, Mamun A
    Aust N Z J Public Health, 2016 Dec;40(6):572-578.
    PMID: 27624991 DOI: 10.1111/1753-6405.12574
    OBJECTIVES: To investigate the prospective association between parental pre-pregnancy BMI and adult male and female offspring BMI and waist circumference (WC).

    METHODS: Sub-sample of 2,229 parent-offspring pairs with parental pre-pregnancy BMI and offspring BMI and WC at 21 years were used from the MUSP (Mater-University of Queensland Study of Pregnancy cohort). Multivariable results were adjusted for maternal factors around pregnancy (e.g. gestational weight and smoking during pregnancy) and offspring factors in early life (e.g. birth weight) and at 14 years (e.g. sports participation and mealtime with family).

    RESULTS: After adjustments for confounders, each unit increase in paternal and maternal BMI, the BMI of young adult offspring increased by 0.33kg/m(2) and 0.35kg/m(2) , and the WC increased by 0.76 cm and 0.62 cm, respectively. In the combination of parents' weight status, offspring at 21 years were six times the risk being overweight/obese (OW/OB) when both parents were OW/OB, compared to offspring of healthy weight parents.

    CONCLUSIONS: Prenatal parental BMI are independently related to adult offspring BMI and WC.

    IMPLICATIONS: Both prenatal paternal-maternal weight status are important determinants of offspring weight status in long-term. Further studies are warranted to investigate the underlying mechanisms.

    Matched MeSH terms: Waist Circumference/physiology*
  2. Christakoudi S, Tsilidis KK, Muller DC, Freisling H, Weiderpass E, Overvad K, et al.
    Sci Rep, 2020 Sep 03;10(1):14541.
    PMID: 32883969 DOI: 10.1038/s41598-020-71302-5
    Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.
    Matched MeSH terms: Waist Circumference/physiology
  3. Hassan MR, Jamhari MN, Hayati F, Ahmad N, Zamzuri MIA, Nawi AM, et al.
    Pan Afr Med J, 2021;39:206.
    PMID: 34603587 DOI: 10.11604/pamj.2021.39.206.30410
    Introduction: type 2 diabetes mellitus has become a global public health crisis. The increment in the cases has contributed significantly to the parallel increase in the prevalence of overweight and obesity. This paper aimed to analyse the relationship between lipid profile, waist circumference and body mass index (BMI) with the glycaemic control of the diabetes patients in Kedah.

    Methods: a cross-sectional study was conducted, using the Kedah audit samples data extracted from the National Diabetes Registry (NDR) from the year 2014 to 2018. A total of 25,062 registered type 2 diabetes mellitus patients were selected using the inclusion and exclusion criteria from the registry. Only patients with complete data on their HbA1C, lipid profile, waist circumference and BMI were analysed using SPSS version 21.

    Results: the means for the age, BMI and waist circumference of the samples were 61.5 (±10.85) years, 27.3 (±5.05) kg/m2 and 89.46 (±13.58) cm, respectively. Poor glycaemic control (HbA1c>6.5%) was observed in 72.7% of the patients, with females having poorer glycaemic control. The BMI and waist circumference were found to be significantly associated with glycaemic control (P<0.001). The total cholesterol, triglycerides and low-density lipoproteins values showed positive correlation with glycaemic control (r = 0.178, 0.157, 0.145, p<0.001), while high-density lipoproteins values are negatively correlated (r = -0.019, p<0.001).

    Conclusion: implementing lifestyle changes such as physical activity and dietary modifications are important in the management of BMI, waist circumference and body lipids, which in turn results in improved glycaemic control.

    Matched MeSH terms: Waist Circumference/physiology
  4. Zunura'in Z, Almardhiyah AR, Gan SH, Arifin WN, Sirajudeen K, Bhavaraju V, et al.
    Asian Pac J Cancer Prev, 2016;17(9):4439-4444.
    PMID: 27797258
    The objective of this case-control study was to determine anthropometric and reproductive factors associated with the development of breast cancer among women. Fifty-six newly diagnosed breast cancer patients were recruited from the Oncology Clinic, Universiti Sains Malaysia (USM), and 56 healthy female hospital employees were recruited as controls. Socio-demographic and reproductive data were obtained using a standard questionnaire. Anthropometric factors (body weight, height, body fat percentage, visceral fat and waist and hip circumference) were assessed. A high waist circumference (adjusted OR= 1.04, [95% CI: 1.00, 1.09]) and being more than 30 years of age at rst full-term pregnancy (adjusted OR=3.77, [95% CI: 1.10, 12.90]) were predictors of breast cancer development. The results of this study indicate that weight and reproductive health management should be emphasized for breast cancer prevention in Malaysia.

    Study site: Oncology clinic, Hospital Universiti Sains Malaysia (HUSM)
    Matched MeSH terms: Waist Circumference/physiology
  5. Nik Jaafar NR, Midin M, Mahadevan R, Sinniah A, Rahman AH, Ming W, et al.
    Compr Psychiatry, 2014 Jan;55 Suppl 1:S60-4.
    PMID: 24139853 DOI: 10.1016/j.comppsych.2013.09.002
    OBJECTIVE: Most weight interventions among patients with severe mental illness (SMI) used body mass index (BMI) as outcome measure but excluded waist circumference (WC) although the latter is a stronger predictor of obesity complications. This study aimed to assess a weight-management program consisting of education, exercise and behavioural techniques for patients with SMI using weight parameters including WC as the outcome measures.
    METHODS: A group intervention was carried out as part of psychiatric outpatient community service. It used structured modules on diet, exercise and related topics comprising of education and exercises sessions with a total of 12-week duration. The participants were outpatients with SMI recruited through referrals to the program by the treating doctor. The participants' body weight, BMI and WC were measured at the baseline, fortnightly and at the end of the program.
    RESULTS: A total of 27 patients participated in the program which was carried out in 6 cycles. The pre- and post-intervention comparisons analysis of the weight parameters found a significant reduction in the WC (mean=3.878 cm+5.165, p=0.001) while no significant changes were recorded in body weight and BMI.
    CONCLUSION: Small but significant loss in WC and possibly weight maintenance were achieved using this non-pharmacological intervention. Modest loss in WC may have an impact on reducing the risk of obesity-related health risks.
    Study site: Psychiatric clinic, Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM), Kuala Lumpur, Malaysia
    Matched MeSH terms: Waist Circumference/physiology*
  6. Ching YK, Chin YS, Appukutty M, Gan WY, Chan YM
    Sci Rep, 2020 11 30;10(1):20861.
    PMID: 33257810 DOI: 10.1038/s41598-020-78035-5
    Our study aimed to compare the ability of anthropometric obesity indices to predict MetS and to determine the sex-specific optimal cut-off values for MetS among Malaysian vegetarians. Body weight, height, waist circumference (WC), blood pressure (BP), fasting venous blood sample were collected from 273 vegetarians in Selangor and Kuala Lumpur, Malaysia. The abilities of body mass index (BMI), body fat percentage (BF%), waist to height ratio (WHtR), lipid accumulation product (LAP), visceral adiposity index (VAI), a body shape index (ABSI), and body roundness index (BRI) to identify MetS were tested using receiver operating characteristic (ROC) curve analyses. MetS was defined according to the Joint Interim Statement 2009. The ROC curve analyses show that BMI, BF%, WHtR, LAP and VAI were able to discriminate MetS in both sexes. LAP was a better predictor to predict MetS, followed by WHtR for male and female vegetarians. The suggested WHtR's optimal cut-offs and LAP's optimal cut-offs for MetS for male and female vegetarians were 0.541, 0.532, 41.435 and 21.743, respectively. In conclusion, LAP was a better predictor to predict MetS than other anthropometric obesity indices. However, WHtR could be an alternative obesity index in large epidemiology survey due to its convenient and cost-effective characteristics.
    Matched MeSH terms: Waist Circumference/physiology
  7. Heng KS, Hejar AR, Rushdan AZ, Loh SP
    Malays J Nutr, 2013 Apr;19(1):77-86.
    PMID: 24800386 MyJurnal
    Metabolic syndrome (MetSyn) as defined by the latest Harmonised definition and the agreement between the Harmonised definition and other definitions is poorly studied among Malaysians. This study was conducted to determine and compare the prevalence of MetSyn according to the Harmonised, International Diabetes Federation (IDF) and National Cholesterol Education Program (NCEP ATPIII) definitions among Malay staff of Universiti Putra Malaysia (UPM).
    Matched MeSH terms: Waist Circumference/physiology
  8. Poorthuis MHF, Sherliker P, de Borst GJ, Carter JL, Lam KBH, Jones NR, et al.
    J Am Heart Assoc, 2021 04 20;10(8):e019025.
    PMID: 33853362 DOI: 10.1161/JAHA.120.019025
    Background Associations between adiposity and atrial fibrillation (AF) might differ between sexes. We aimed to determine precise estimates of the risk of AF by body mass index (BMI) and waist circumference (WC) in men and women. Methods and Results Between 2008 and 2013, over 3.2 million adults attended commercial screening clinics. Participants completed health questionnaires and underwent physical examination along with cardiovascular investigations, including an ECG. We excluded those with cardiovascular and cardiac disease. We used multivariable logistic regression and determined joint associations of BMI and WC and the risk of AF in men and women by comparing likelihood ratio χ2 statistics. Among 2.1 million included participants 12 067 (0.6%) had AF. A positive association between BMI per 5 kg/m2 increment and AF was observed, with an odds ratio of 1.65 (95% CI, 1.57-1.73) for men and 1.36 (95% CI, 1.30-1.42) for women among those with a BMI above 20 kg/m2. We found a positive association between AF and WC per 10 cm increment, with an odds ratio of 1.47 (95% CI, 1.36-1.60) for men and 1.37 (95% CI, 1.26-1.49) for women. Improvement of likelihood ratio χ2 was equal after adding BMI and WC to models with all participants. In men, WC showed stronger improvement of likelihood ratio χ2 than BMI (30% versus 23%). In women, BMI showed stronger improvement of likelihood ratio χ2 than WC (23% versus 12%). Conclusions We found a positive association between BMI (above 20 kg/m2) and AF and between WC and AF in both men and women. BMI seems a more informative measure about risk of AF in women and WC seems more informative in men.
    Matched MeSH terms: Waist Circumference/physiology*
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