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  1. Determinants of a dietary pattern linked with greater metabolic risk and its tracking during adolescence
    Appannah G, Pot GK, Oddy WH, Jebb SA, Ambrosini GL
    J Hum Nutr Diet, 2018 04;31(2):218-227.
    PMID: 28975676 DOI: 10.1111/jhn.12519
    BACKGROUND: 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.

    METHODS: 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.

    RESULTS: 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 

  2. Fulltext Clinician resistance to broaching the topic of weight in primary care: Digging deeper into weight management using strong structuration theory
    Hajizadeh A, Heath L, Ahmad A, Kebbe M, Jebb SA, Aveyard P, et al.
    Soc Sci Med, 2023 Jul;329:115997.
    PMID: 37327596 DOI: 10.1016/j.socscimed.2023.115997
    Clinical trials have shown that providing advice and support for people with excess weight can lead to meaningful weight loss. Despite this evidence and guidelines endorsing this approach, provision in real-world clinical settings remains low. We used Strong Structuration Theory (SST) to understand why people are often not offered weight management advice in primary care in England. Data from policy, clinical practice and focus groups were analysed using SST to consider how the interplay between weight stigma and structures of professional responsibilities influenced clinicians to raise (or not) the issue of excess weight with patients. We found that general practitioners (GPs) often accounted for their actions by referring to obesity as a health problem, consistent with policy documents and clinical guidelines. However, they were also aware of weight stigma as a social process that can be internalised by their patients. GPs identified addressing obesity as a priority in their work, but described wanting to care for their patients by avoiding unnecessary suffering, which they were concerned could be caused by talking about weight. We observed tensions between knowledge of clinical guidelines and understanding of the lived experience of their patients. We interpreted that the practice of 'caring by not offering care' produced the outcome of an absence of weight management advice in consultations. There is a risk that this outcome reinforces the external structure of weight stigma as a delicate topic to be avoided, while at the same time denying patients the offer of support to manage their weight.
  3. Fulltext Identification of a dietary pattern associated with greater cardiometabolic risk in adolescence
    Appannah G, Pot GK, Huang RC, Oddy WH, Beilin LJ, Mori TA, et al.
    Nutr Metab Cardiovasc Dis, 2015 Jul;25(7):643-50.
    PMID: 26026208 DOI: 10.1016/j.numecd.2015.04.007
    BACKGROUND AND AIMS: Energy dense, high fat, low fibre diets may contribute to obesity in young people, however their relationships with other cardiometabolic risk factors are unclear. We examined associations between an 'energy-dense, high-fat and low-fibre' dietary pattern (DP) and cardiometabolic risk factors, and the tracking of this DP in adolescence.

    METHODS AND RESULTS: Data was sourced from participants in the Western Australian Pregnancy (Raine) Cohort Study. At 14 and 17 y, dietary intake, anthropometric and biochemical data were measured and z-scores for an 'energy dense, high fat and low fibre' DP were estimated using reduced rank regression (RRR). Associations between DP z-scores and cardiometabolic risk factors were examined using regression models. Tracking of DP z-scores was assessed using Pearson's correlation coefficient. A 1 SD unit increase in DP z-score between 14 and 17 y was associated with a 20% greater odds of high metabolic risk (95% CI: 1.01, 1.41) and a 0.04 mmol/L higher fasting glucose in boys (95% CI: 0.01, 0.08); a 28% greater odds of a high-waist circumference (95% CI: 1.00, 1.63) in girls. An increase of 3% and 4% was observed for insulin and HOMA (95% CI: 1%, 7%), respectively, in boys and girls, for every 1 SD increase in DP z-score and independently of BMI. The DP showed moderate tracking between 14 and 17 y of age (r = 0.51 for boys, r = 0.45 for girls).

    CONCLUSION: An 'energy dense, high fat, low fibre' DP is positively associated with cardiometabolic risk factors and tends to persist throughout adolescence.

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