Dr Rachael Taylor

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.

Background and aims: Over seven million women die from cardiovascular disease (CVD) annually. While lifestyle modification is recommended for CVD prevention, there are no systematic reviews evaluating the effectiveness of interventions targeted to women. The primary aim of this systematic review is to determine the efficacy of primary and secondary CVD prevention interventions targeting lifestyle risk factors in women. Methods: Six electronic databases were searched up to January 2022. Eligible studies included randomized controlled trials of primary or secondary CVD prevention interventions targeting CVD lifestyle risk factors (diet, physical activity, sedentary behavior, smoking, alcohol, sleep, and weight management) in women (=18 years) that reported CVD risk markers or lifestyle risk factors. Meta-analyses were conducted on CVD risk markers and body mass index (BMI), and the level of evidence was applied to the GRADE (Grading of Recommendations Assessment, Development and Evaluation) criteria and reported. Results: Thirty-five RCTs were included (24 primary and 11 secondary prevention). Meta-analyses demonstrated that lifestyle CVD prevention interventions achieved statistically significant reductions in BMI at = 6 months (0.95 kg/m2, 95% CI = 0.54 to 1.35, p < 0.0001), 12 months (0.61 kg/m2, 95% CI = 0.07 to 1.16, p = 0.03) and >12 months (0.58 kg/m2, 95% CI = 0.01 to 1.16, p = 0.05), and systolic blood pressure (mmHg) at = 6 months (3.51, p < 0.001). Conclusions: Lifestyle interventions are important for the prevention of CVD in women, specifically to reduce systolic blood pressure in the short term (= 6 months) and BMI long term (>12 months). Systematic review registration: https://osf.io/bkwqm, identifier: osf-registrations-bkwqm-v1.

Background and aims: Most studies measure baseline diet quality exclusively and hence the impact of longitudinal changes in dietary intake in relation to weight change is not considered. Therefore, this study aimed to examine whether change in diet quality over nine-years was associated with weight change over the same period in mid-age Australian women. Methods and results: Healthy mid-age (45¿49 years) women from the Australian Longitudinal study on Women's Health (ALSWH) were eligible a valid total energy intake (TEI) was reported at baseline (n = 2381), determined using Goldberg cut-offs. Diet quality was measured by the Australian Recommended Food Score (ARFS) using data derived from a validated food frequency questionnaire. Multiple linear regressions were used to evaluate relationships between change in diet quality and weight in mid-age women (n = 1999). Women in the highest tertile of ARFS change improved diet quality [mean ± SD] [7 ± 4 points], while those in the lowest [-9 ±5 points] and middle [-1±2 points] tertiles had worse diet quality at follow-up. Overall, mean weight gain was 2.3 ± 7.2 kg over nine years. Those in the highest tertile of ARFS change gained significantly less weight, compared to the lowest tertile; ß = -1.2 kg [95% CI: -2.31, -0.11; p = 0.03] after adjustment for changes in confounders and baseline weight, baseline ARFS, and total energy intake. Conclusions: Improving diet quality could be an important strategy for promoting modest weight loss and potentially contribute to preventing weight gain in mid-age women, which is important for metabolic health.

Background/objectives: We previously demonstrated that fruit and vegetable consumption, was associated with less weight gain over 6 years in young women for all body mass index (BMI) categories. This study evaluated the relationship between diet quality and 6-year weight change, in Australian women initially in the healthy weight range (=18.5 BMI <25 kg/m2) at baseline. Subjects/methods: A total of 4083 young women (27¿31 years) in the healthy weight range (=18.5 BMI <25 kg/m2) enroled in the Australian Longitudinal study on Women¿s Health (ALSWH) were analysed. Diet quality was measured by the Australian Recommended Food Score (ARFS) and the Fruit and Vegetable Index (FAVI) using dietary data derived from a validated food frequency questionnaire. Weight change was calculated as the difference between baseline and 6-year follow-up weight (kg). Multiple linear regression models were used to analyse the association between baseline ARFS and FAVI and 6-year weight change. Results: At baseline, mean diet quality was low for both indices [ARFS (maximum 72) = 29.9 and FAVI (maximum 333) = 94.2] and women gained 3.7 kg of weight during 6 years of follow-up. Regression modelling revealed that every one point increase over 6 years in either the ARFS or FAVI score was associated with statistically significantly less weight gain over 6 years, although the amount was small (33 and 12 g, respectively). Conclusions: Higher diet quality predicts lower prospective weight gain in young women however, further research is needed over a longer follow-up period and in diverse population groups.

Background:: It is hypothesised that epigenetic mechanisms including DNA methylation may underlie the relationship between early-life nutrition and child cognitive outcomes. This study aimed to identify dietary patterns associated with the intake of one-carbon metabolism nutrients in children aged 2¿3 years. Methods:: A validated 120-item semi-quantitative food frequency questionnaires at 2¿3 years of age were used to estimate the intake of one-carbon metabolism nutrients (methionine, folate, choline and vitamins B2, B6, B12) and to quantify mean number of serves consumed of the food groups specified by the Australian Guide to Healthy Eating (AGHE). Descriptive statistics were used to analyse the contribution of each food group and food items to the total intake of one-carbon metabolism nutrients. Linear regression was used to test for linear trends in food group servings by nutrient intake quintiles. Results:: No child (n = 60) from the Women And Their Children¿s Health (WATCH) study consumed the recommended number of serves for all AGHE food groups. Dairy and alternatives (18¿44%), discretionary foods (6¿33%) and meat and alternatives (6¿31%) were the main sources of most one-carbon metabolism nutrients. Most child intakes of one-carbon metabolism nutrients exceeded the nutrient reference values (NRVs), except for the intake of choline, for which the mean intake was 9% below the adequate intake (AI). Conclusion:: Dairy and alternatives, discretionary foods and meat and alternatives food groups contributed significantly to the children¿s intake of one-carbon metabolism nutrients. The children generally had low intakes of meat and alternative foods, which may explain their inadequate intake of choline.