ORCID Profile
0000-0003-4636-6529
Current Organisation
Universiti Putra Malaysia
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Publisher: Cambridge University Press (CUP)
Date: 22-05-2014
DOI: 10.1017/S0007114514001111
Abstract: Despite the increasing use of dietary patterns (DP) to study diet and health outcomes, relatively few studies have examined the reliability of DP using different dietary assessment methods. Reduced-rank regression (RRR) is an emerging statistical method that incorporates a priori information to characterise DP related to specific outcomes of interest. The aim of the present study was to compare DP identified using the RRR method in a FFQ with those in a 3 d food record (FR). Participants were 783 adolescents from the Western Australian Pregnancy (Raine) Cohort Study who completed both a FFQ and FR at 14 years of age. A similar ‘energy-dense, high-fat and low-fibre’ DP was identified in the FFQ and FR that was characterised by high intakes of processed meat and sugar-sweetened beverages, and low intakes of vegetables and fresh fruit. Nutrient profiles for this DP were consistent in the FFQ and FR. Pearson's correlation coefficient between participants' z -scores for the DP identified in the FFQ and FR was 0·35 for girls and 0·49 for boys ( P 0·05). The mean difference between DP z -scores derived from the FFQ and FR was − 0·08 (95 % CI − 0·21, 0·04) for girls and − 0·05 (95 % CI − 0·17, 0·07) for boys. The 95 % limits of agreement were − 2·55 to 2·39 for girls and − 2·52 to 2·41 for boys. These findings suggest that very similar DP may be identified and their z -scores show modest agreement when applying the RRR method to dietary intake data collected from adolescents using a FFQ or FR.
Publisher: MDPI AG
Date: 26-01-2021
Abstract: Despite the advancement of the healthcare system, low birth weight (LBW) remains as one of the leading causes of under-five mortality. This cross-sectional study aimed to determine the prevalence of LBW and its associated factors among 483 third trimester pregnant women recruited from six selected public health clinics in the Federal Territory of Kuala Lumpur and the state of Selangor, Malaysia. Pregnant women were interviewed for information on socio-demographic characteristics, smoking behaviour, and second-hand smoke (SHS) exposure at home and in the workplace. Information on the obstetrical history and prenatal care visits history were retrieved from the maternal medical records, while infant’s birth outcomes were retrieved from infant medical records. The prevalence of LBW ( .5 kg) in infants was 10.4%, with a mean birth weight of 3.0 [standard deviation (SD) 0.4] kg. Results from the multivariable logistic regression model showed that inadequate weight gained during pregnancy [odds ratio (OR) = 2.41, 95% confidence interval (CI) = 1.18–4.90] and exposure to SHS at home (OR = 1.92, 95% CI = 1.03–3.55) were significantly associated with LBW. In conclusion, pregnant women should monitor their rate of weight gain throughout pregnancy and avoid SHS exposure at home to reduce the risk of delivering LBW infants.
Publisher: Elsevier BV
Date: 07-2015
Publisher: MDPI AG
Date: 07-09-2022
Abstract: Women with previous gestational diabetes mellitus (post-GDM) have an increased risk of cardiometabolic diseases including type 2 diabetes (T2D). Current diabetes screening is based on the oral glucose tolerance test without nutritional assessments, even though unhealthy dietary patterns were found to expedite disease progression in women post-GDM. While a healthful dietary pattern reduces T2D risk, limited data support a dietary pattern tailored to the Asian population, especially in the Malaysian context. Metabolomic profiles associated with dietary patterns in this population are also lacking. The proposed study aims to investigate both components of dietary patterns and metabolomic profile, known as nutritype signatures, and their association with T2D in women post-GDM. The comparative cross-sectional study will involve a minimum of 126 Malaysian women post-GDM aged 18–49 years. Dietary patterns will be analysed using principal component analysis. Plasma and urinary metabolites will be quantified using one-dimensional proton nuclear magnetic resonance (1H NMR) spectroscopy. The aim of the study is identifying the nutritype signatures associated with T2D. The findings will support the development of early prevention measures against T2D in women post-GDM.
Publisher: Elsevier BV
Date: 2021
DOI: 10.1093/AJCN/NQAA281
Publisher: Wiley
Date: 04-10-2017
DOI: 10.1111/JHN.12519
Abstract: Although growing evidence suggests that dietary patterns associated with noncommunicable diseases in adulthood may develop early in life, when these are established, as well as their determinants, remains unclear. We examined determinants and tracking of a dietary pattern (DP) associated with metabolic risk and its key food groups among 860 adolescents in the Western Australian Pregnancy (Raine) Cohort study. Food intake was reported using a food frequency questionnaire (FFQ) at 14 and 17 years. Z-scores for an 'energy-dense, high-fat, low-fibre' DP were estimated by applying reduced rank regression at both ages. Tracking was based on the predictive value (PV) of remaining in the DPZ-score or food intake quartile at 14 and 17 years. Early-life exposures included: maternal age maternal pre-pregnancy body mass index parent smoking status during pregnancy and parent socio-economic position (SEP) at 14 and 17 years. Associations between the DPZ-scores, early-life factors and SEP were analysed using regression analysis. Dietary tracking was strongest among boys with high DPZ-scores, high intakes of processed meat, low-fibre bread, crisps and savoury snacks (PV > 1) and the lowest intakes of vegetables, fruit and legumes. Lower maternal education (β = 0.09, P = 0.002 at 14 years β = 0.14, P < 0.001 at 17 years) and lower maternal age at birth (β = 0.09, P = 0.003 at 14 years β = 0.11, P = 0.004 at 17 years) were positively associated with higher DPZ-scores. An energy-dense, high-fat, low-fibre dietary pattern tracks more strongly among adolescent boys who have high scores for this pattern at 14 years of age. These findings highlight target foods and population subgroups for early interventions aiming to improve dietary behaviours.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Geeta Appannah.