Polymorphisms of the Flavin containing monooxygenase 3 (FMO3) gene do not predispose to essential hypertension in Caucasians.

BACKGROUND: The recessive disorder trimethylaminuria is caused by defects in the FMO3 gene, and may be associated with hypertension. We investigated whether common polymorphisms of the FMO3 gene confer an increased risk for elevated blood pressure and/or essential hypertension. METHODS: FMO3 genotypes (E158K, V257M, E308G) were determined in 387 healthy subjects with ambulatory systolic and diastolic blood pressure measurements, and in a cardiovascular disease population of 1649 individuals, 691(41.9%) of whom had a history of hypertension requiring drug treatment. Haplotypes were determined and their distribution noted. RESULTS: There was no statistically significant association found between any of the 4 common haplotypes and daytime systolic blood pressure in the healthy population (p = 0.65). Neither was a statistically significant association found between the 4 common haplotypes and hypertension status among the cardiovascular disease patients (p = 0.80). CONCLUSION: These results suggest that the variants in the FMO3 gene do not predispose to essential hypertension in this population

An Observational Analysis of Meal Patterns in Overweight and Obese Pregnancy

Background Nutrient intakes are known to be poorer among pregnant women with raised body mass index (BMI) than those with a healthy BMI. While meal patterns have the potential to influence obstetric, metabolic and anthropometric measures for mother and infant, limited data exists regarding meal patterns among pregnant women with raised BMI. Aim To identify categories of meal patterns among pregnant women with overweight and obesity and determine whether patterns change with advancing gestation. To determine if maternal meal patterns are associated with dietary intakes and pregnancy outcomes. Methods Prospective, observational analysis of pregnant women (n = 143) (BMI 25–39.9 kg/m2). Meal pattern data were analysed from 3-day food diaries at 16 and 28 weeks’ gestation. Outcomes include maternal blood glucose, insulin resistance, gestational diabetes, gestational weight gain and infant anthropometry. Results Three meal pattern categories were identified: ‘main meal dominant’ (3 main eating occasions + 0–3 snacks), ‘large meal dominant’ (≤ 2 main eating occasions + \u3c 2 snacks), and ‘snack dominant’ (3 main eating occasions + \u3e 3 snacks and ≤2main + ≥ 2 snacks). A main meal–dominant pattern prevailed at 16 weeks’ (85.3%) and a snack-dominant pattern at 28 weeks’ (68.5%). Dietary glycaemic index was lower among the main meal versus large meal–dominant pattern at 28 weeks (P = 0.018). Infant birth weight (kg) and macrosomia were highest among participants with a large meal–dominant pattern at 28 weeks (P = 0.030 and P = 0.008, respectively). Conclusion Women with raised BMI changed eating patterns as pregnancy progressed, moving from main meal–dominant to snack-dominant patterns. Large meal–dominant meal patterns in later pregnancy were associated with higher glycaemic index and greater prevalence of macrosomia

Nutrition, Behavior Change and Physical Activity Outcomes From the PEARS RCT—An mHealth-Supported, Lifestyle Intervention Among Pregnant Women With Overweight and Obesity

Background: Diet quality and physical activity positively impact pregnancy outcomes among women with obesity, but successful lifestyle interventions require intense clinician time. We aimed to investigate the impact of a behavioral-lifestyle intervention (PEARS) supported by a smartphone app among pregnant women with overweight and obesity, on nutrient intake, behavioral stage-of-change and physical activity. Methods: Pregnant women (BMI 25–39.9 kg/m2, measured, n = 565) were randomized at 15.6 weeks\u27 gestation to the intervention (n = 278), or a control group (n = 287) (ISRCTN29316280). The intervention was grounded in behavior-change theory. Participants received nutrition (low glycaemic index and healthy eating) and exercise advice, a smartphone app and fortnightly emails. The control group received usual care which does not include dietary advice. At baseline and 28 weeks\u27 gestation, dietary data were obtained through 3-day food diaries (n = 290 matched), and stage-of-change and physical activity data were self-reported. App usage data were collected. Results: There were no differences between the groups at baseline. Compared with the control group, the intervention group had improved dietary intakes post-intervention with; lower glycaemic index (MD −1.75); free sugars (%TE) (MD −0.98); fat (%TE) (MD −1.80); and sodium (mg) (MD −183.49). Physical activity (MET-minutes/week) was higher in the intervention group post-intervention (MD 141.4; 95% CI 62.9, 219.9). The proportion of participants at “maintenance” stage-of-change for physical activity was higher in the intervention group (56.3 vs. 31.2%). App use was associated with lower glycaemic index and less energy from free sugars, but not with physical activity. Conclusion: A behavioral-lifestyle intervention in pregnancy supported by a smartphone app improved dietary intakes, physical activity, and motivation to engage in exercise

Nutrition policy: developing scientific recommendations for food-based dietary guidelines for older adults living independently in Ireland

Older adults (≥65 years) are the fastest growing population group. Thus, ensuring nutritional well-being of the ‘over-65s’ to optimise health is critically important. Older adults represent a diverse population – some are fit and healthy, others are frail and many live with chronic conditions. Up to 78% of older Irish adults living independently are overweight or obese. The present paper describes how these issues were accommodated into the development of food-based dietary guidelines for older adults living independently in Ireland. Food-based dietary guidelines previously established for the general adult population served as the basis for developing more specific recommendations appropriate for older adults. Published international reports were used to update nutrient intake goals for older adults, and available Irish data on dietary intakes and nutritional status biomarkers were explored from a population-based study (the National Adult Nutrition Survey; NANS) and two longitudinal cohorts: the Trinity-Ulster and Department of Agriculture (TUDA) and the Irish Longitudinal Study on Ageing (TILDA) studies. Nutrients of public health concern were identified for further examination. While most nutrient intake goals were similar to those for the general adult population, other aspects were identified where nutritional concerns of ageing require more specific food-based dietary guidelines. These include, a more protein-dense diet using high-quality protein foods to preserve muscle mass; weight maintenance in overweight or obese older adults with no health issues and, where weight-loss is required, that lean tissue is preserved; the promotion of fortified foods, particularly as a bioavailable source of B vitamins and the need for vitamin D supplementation