Sleep disturbances may influence lifestyle behaviours in women with self-reported polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is associated with a higher prevalence of sleep disturbances and obesity. Treatment of PCOS includes modifying lifestyle behaviours associated with weight management. However, poor sleep in the non-PCOS population has been associated with poorer lifestyle behaviours. The aim was to investigate whether sleep disturbance confounds or modifies the association between lifestyle factors and PCOS. This was a cross-sectional analysis from the Australian Longitudinal Study on Women's Health cohort aged 31-36 years in 2009 were analysed (n 6067, 464 PCOS, 5603 non-PCOS). Self-reported data were collected on PCOS, anthropometry, validated modified version of the Active Australia Physical Activity survey, validated FFQ and sleep disturbances through latent class analysis. Women with PCOS had greater adverse sleep symptoms including severe tiredness (P = 0·001), difficulty sleeping (P < 0·001) and restless sleep (P < 0·001), compared with women without PCOS. Women with PCOS also had higher energy consumption (6911 (sd 2453) v. 6654 (sd 2215) kJ, P = 0·017), fibre intake (19·8 (sd 7·8) v. 18·9 (sd 6·9) g, P = 0·012) and diet quality (dietary guidelines index (DGI)) (88·1 (sd 11·6) v. 86·7 (sd 11·1), P = 0·008), lower glycaemic index (50·2 (sd 4·0) v. 50·7 (sd 3·9), P = 0·021) and increased sedentary behaviour (6·3 (sd 2·8) v. 5·9 (sd 2·8) h, P = 0·009). There was a significant interaction between PCOS and sleep disturbances for DGI (P = 0·035), therefore only for women who had adequate sleep was PCOS associated with a higher DGI. For women with poorer sleep, there was no association between PCOS and DGI. The association between PCOS and improved diet quality may only be maintained if women can obtain enough good quality sleep.

Dietary disinhibition mediates the relationship between poor sleep quality and body weight.

BACKGROUND: Inadequate sleep independently influences eating habits and weight status. However, the relationship between these three factors has not been well quantified. The objective of this study was to examine if eating behavior (i.e. dietary restraint, disinhibition and hunger) mediates the relationship between sleep and body mass index (BMI) in a large sample of American adults. METHOD: Cross-sectional data from the Nathan Kline Institute Rockland sample were assessed (n = 602; 38.9 ±â€¯14.5 years). Self-reported sleep and eating behavior were measured using the Pittsburgh Sleep Quality Index and Three Factor Eating Questionnaire, respectively. Path analysis was used to examine relationships amongst the construct, with mediation tested via bootstrapped confidence intervals. RESULTS: Poorer sleep quality was associated with both greater hunger (P = 0.03) and higher disinhibited eating (overeating in the presence of palatable foods or other disinhibiting stimuli like emotional stress; P < 0.001) behaviors. Higher disinhibited eating behavior was also associated with higher BMI (P < 0.001). There was a significant indirect relationship between sleep quality and BMI via disinhibition (b [95% CI] = 0.13 [0.06, 0.21], P = 0.001). No significant effects were found when total sleep time or time in bed were replaced as predictors in the mediation model. CONCLUSION: Disinhibited eating behavior mediated the relationship between sleep quality and weight status in both males and females. This mediation was due to aspects of sleep quality other than duration. These results suggest that improving sleep quality may benefit weight loss by helping to reduce an individuals' susceptibility to overeating.

Systematic Review: Nutrition and Physical Activity in the Management of Paediatric Nonalcoholic Fatty Liver Disease.

OBJECTIVES: The aim of the study was to evaluate efficacy of nutrition and physical activity interventions in the clinical management of paediatric nonalcoholic fatty liver disease. The prevalence of paediatric nonalcoholic fatty liver disease continues to rise alongside childhood obesity. Weight loss through lifestyle modification is currently first-line treatment, although supplementation of specific dietary components may be beneficial. METHODS: Medline, CINAHL, EMBASE, Scopus, and Cochrane Libraries were systematically searched to identify randomized controlled trials assessing nutritional and physical activity interventions. Primary outcome measures were changes to liver biomarkers assessed by imaging, histology, or serum liver function tests. Study quality was evaluated using the American Dietetic Association Quality Criteria Checklist. RESULTS: Fifteen articles met eligibility criteria investigating nutritional supplementation (vitamin E [n = 6], probiotics [n = 2], omega-3 fatty acids [n = 5]), dietary modification (low glycaemic load [n = 1] and reducing fructose intake [n = 1]). No randomized controlled trials examining physical activity interventions were identified. Vitamin E was ineffective at improving alanine transaminase levels, whereas omega-3 fatty acids decreased hepatic fat content. Probiotics gave mixed results, whereas reduced fructose consumption did not improve primary outcome measures. A low glycaemic load diet and a low-fat diet appeared equally effective in decreasing hepatic fat content and transaminases. Most studies were deemed neutral as assessed by the American Dietetic Association Quality Criteria Checklist. CONCLUSIONS: The limited evidence base inhibits the prescription of specific dietary and/or lifestyle strategies for clinical practice. General healthy eating and physical activity guidelines, promoting weight loss, should remain first-line treatment until high-quality evidence emerges that support specific interventions that offer additional clinical benefit.

Listeria monocytogenes and diet during pregnancy; balancing nutrient intake adequacy v. adverse pregnancy outcomes.

OBJECTIVE: To evaluate the impact of adherence to public health recommendations on Listeria monocytogenes food safety to limit exposure to potential food sources on micronutrient intakes of pregnant women and whether more frequent consumption of 'high-risk' foods increases risk for adverse pregnancy outcomes. DESIGN: A cohort study in women assessing Listeria exposure from an FFQ based on consumption of potential Listeria-containing food sources, the Listeria Food Exposure Score (LFES). Pregnancy status was defined as pregnant, trying to conceive, had a baby within the previous 12 months, or other. Nutrient intakes were compared with Nutrient Reference Values and self-reported pregnancy outcome history three years later. SETTING: Australia. SUBJECTS: Women aged 25-30 years (n 7486) participating in the Australian Longitudinal Study on Women's Health. RESULTS: There were weak positive correlations (r = 0.13-0.37, P < 0.001) between LFES and all nutrients, with fibre, folate, Fe and vitamin E intakes consistently below the Nutrient Reference Values in every quintile of LFES. Women in the highest quintile of LFES reported 19 % more miscarriages (rate ratio = 1.19; 95 % CI 1.02, 1.38) than those in the lowest quintile, after adjusting for important confounding factors. CONCLUSIONS: More frequent consumption of foods potentially containing L. monocytogenes is associated with higher nutrient intakes, but an increased risk of miscarriage. L. monocytogenes pregnancy recommendations require review and should include the list of 'risky' food items in addition to low-risk alternatives that would adequately replace nutrient intakes which may be reduced through avoidance strategies.

Disparities exist between National food group recommendations and the dietary intakes of women.

BACKGROUND: Preconception and pregnancy dietary intakes can influence the health of future generations. In this study we compared the food intakes of reproductive-aged women by pregnancy status, to current Australian recommendations. METHODS: Data are from the Australian Longitudinal Study on Women's Health, younger cohort aged 25-30 years in 2003, with self-reported status as pregnant (n = 606), trying to conceive (n = 454), given birth in the last 12 months (n = 829) or other (n = 5597). Diet was assessed using a validated 74-item food frequency questionnaire. Food group servings and nutrient intakes were compared to the Australian Guide to Healthy Eating (AGHE) and Australian Nutrient Reference Values (NRVs). RESULTS: No women met all AGHE food group recommendations. Highest adherence rates [mean (95% CI) servings/day] were for meat [85%, 1.9(1.8-1.9)], fruit [44%, 2.1(2.1-2.2)] and dairy [35%, 1.8(1.8-1.9)], with < 14% meeting remaining recommendations. Women who achieved NRVs (folate, iron, calcium, zinc, fibre) for pregnancy, breastfeeding and adult life stages were 1.5%, 3.3% and 13.7%, respectively. Compared to AGHE, women consumed more servings of fruit (4.9 vs 4.0;P = 0.034) and dairy (3.4 vs 2.0;P = 0.006) to achieve pregnancy NRVs; more dairy (2.9 vs 2.0;P = 0.001), less fruit (3.9 vs 5.0;P < .001) and vegetables (3.4 vs 7.0;P < .001) to achieve breastfeeding NRVs; more fruit (3.6 vs 3.0;P < .001), dairy (2.5 vs 2.0;P < .001), meat (1.8 vs 1.5;P = 0.015), less vegetables (3.6 vs 5.0;P < .001) to achieve adult NRVs. CONCLUSIONS: The AGHE does not align with contemporary diets of Australian women or enable them to meet all NRVs. Current tools to guide food consumption by women during pregnancy require revision.

Macronutrient Intake in Pregnancy and Child Cognitive and Behavioural Outcomes.

Prenatal nutrient exposures can impact on brain development and disease susceptibility across the lifespan. It is well established that maternal macronutrient intake during pregnancy influences foetal and infant development. Therefore, we hypothesise that macronutrient intakes during pregnancy are correlated with cognitive development during early childhood. The current study aimed to investigate the relationship between maternal macronutrient intake during pregnancy and child cognitive and behavioural outcomes at age 4 years. We analysed prospective data from a cohort of 64 Australian mother-child dyads. Maternal macronutrient intake was assessed using a validated 74-item food frequency questionnaire at 2 timepoints during pregnancy. Child cognition and behaviour were measured at age 4 years using the validated Wechsler Preschool and Primary Scale of Intelligence, 3rd version (WPPSI-III) and the Child Behaviour Checklist (CBC). Linear regression models were used to quantify statistical relationships and were adjusted for maternal age, education, pre-pregnancy BMI, breastfeeding duration and birthweight. Child Performance IQ was inversely associated with maternal starch intake (b = -11.02, p = 0.03). However, no other associations were found. Further research is needed to explore the association between different types of starch consumed during pregnancy and child cognitive development.

Monounsaturated fat intake is associated with improved sleep quality in pregnancy.

OBJECTIVE: To investigate the relationship between sleeping behaviour and macronutrient intake of pregnant women. DESIGN: Cross-sectional analysis of data collected in 2009 as part of the Australian Longitudinal Study on Women's Health. SETTING: Australia PARTICIPANTS: Australian pregnant women (n = 437, aged 31-36) enrolled in the Australian Longitudinal Study on Women's Health who completed Survey 5 in 2009. MEASUREMENTS: Pregnant women self-reported sleep and dietary data. Latent class analysis derived sleep patterns. Relationships between sleep and diet were investigated through multivariate linear regression controlling for confounders including: area of residence, body mass index, depression, difficulty managing on income, education level and parity. FINDINGS: Latent class analysis identified three sleeping behaviour patterns: (LC1) average sleep (∼7.8 h) with no adverse sleep-related symptoms (n = 167); (LC2) average sleep (∼8.3 h) with adverse sleep symptoms (n = 193); and (LC3) short sleep (∼6.6 h) with adverse sleep symptoms (n = 97). After adjusting for potential confounders, LC2 was associated lower percentage energy (%E) total fat (b= -0.032, p = 0.039) and%E monounsaturated fat (b = -0.050, p = 0.005) and higher intake of%E carbohydrate (b = 0.031, p = 0.020), compared to LC1. No differences were found between LC1 and LC3. KEY CONCLUSIONS: Higher monounsaturated fat intake, at the expense of carbohydrate intake, may prove protective against poor sleep quality in pregnancy. IMPLICATIONS FOR PRACTICE: Antenatal support provided by health professionals should consider the important relationship between dietary intake and sleeping behaviour. Encouraging pregnant women to improve their sleep quality may prove an important strategy to optimise dietary intake during pregnancy and consequently improve the health outcomes for both mother and child.

A Randomized Controlled Trial of Two Different Macronutrient Profiles on Weight, Body Composition and Metabolic Parameters in Obese Adolescents Seeking Weight Loss.

OBJECTIVE: Adolescent obesity is difficult to treat and the optimal dietary pattern, particularly in relation to macronutrient composition, remains controversial. This study tested the effect of two structured diets with differing macronutrient composition versus control, on weight, body composition and metabolic parameters in obese adolescents. DESIGN: A randomized controlled trial conducted in a children's hospital. METHODS: Eighty seven obese youth (means: age 13.6 years, BMI z-score 2.2, waist: height ratio 0.65, 69% female) completed a psychological preparedness program and were then randomized to a short term 'structured modified carbohydrate' (SMC, 35% carbohydrate; 30% protein; 35% fat, n = 37) or a 'structured low fat' (SLF, 55% carbohydrate; 20% protein; 25% fat, n = 36) or a wait listed control group (n = 14). Anthropometric, body composition and biochemical parameters were measured at randomization and after 12 weeks, and analyzed under the intention to treat principle using analysis of variance models. RESULTS: After 12 weeks, data was collected from 79 (91%) participants. BMI z-scores were significantly lower in both intervention groups compared to control after adjusting for baseline values, SLF vs. control, mean difference = -0.13 (95%CI = -0.18, -0.07), P<0.001; SMC vs. control, -0.14 (-0.19, -0.09), P<0.001, but there was no difference between the two intervention diet groups: SLF vs. SMC, 0.00 (-0.05, 0.04), P = 0.83. CONCLUSIONS: Both dietary patterns resulted in similar changes in weight, body composition and metabolic improvements compared to control. The use of a structured eating system which allows flexibility but limited choices can assist in weight change and the rigid application of a low fat eating pattern is not exclusive in its efficacy. TRIAL REGISTRATION: International Clinical Trials Registry ISRCTN49438757.

Lower Protein-to-Carbohydrate Ratio in Maternal Diet is Associated with Higher Childhood Systolic Blood Pressure up to Age Four Years.

The prenatal environment can influence development of offspring blood pressure (BP), which tracks into adulthood. This prospective longitudinal study investigated whether maternal pregnancy dietary intake is associated with the development of child BP up to age four years. Data are from 129 mother-child dyads enrolled in the Women and Their Children's Health study. Maternal diet was assessed using a validated 74-item food frequency questionnaire at 18 to 24 weeks and 36 to 40 weeks, with a reference period of the previous three months. Child systolic and diastolic BP were measured at 3, 6, 9, 12, 24, 36 and 48 months, using an automated BP monitor. Using mixed-model regression analyses adjusted for childhood growth indices, pregnancy intakes of percentage of energy (E%) polyunsaturated fat (ß coefficient 0.73; 95% CI 0.003, 1.45; p = 0.045), E% omega-6 fatty acids (ß coefficient 0.89; 95% CI 0.09, 1.69; p = 0.03) and protein-to-carbohydrate (P:C) ratio (ß coefficient -14.14; 95% CI -27.68, -0.60; p = 0.04) were associated with child systolic BP trajectory up to 4 years. Child systolic BP was greatest at low proportions of dietary protein (<16% of energy) and high carbohydrate (>40% of energy) intakes. There may be an ideal maternal macronutrient ratio associated with optimal infant BP. Maternal diet, which is potentially modifiable, may play an important role in influencing offspring risk of future hypertension.

A systematic review and meta-analysis of micronutrient intakes during pregnancy in developed countries.

Micronutrient status during pregnancy influences maternal and fetal health, birth outcomes, and the risk of chronic disease in offspring. Research reporting dietary intake during pregnancy in nationally representative population samples, however, is limited. This review summarizes the micronutrient intakes of pregnant women from developed countries and compares them with relevant national recommendations. A systematic search without date limits was conducted. All studies reporting the micronutrient intakes of pregnant women were considered, irrespective of design. Two authors independently identified studies for inclusion and assessed methodological quality. Nutritional adequacy was summarized, with confounding factors considered. Meta-analysis data are reported for developed countries collectively, by geographical region, and by dietary methodology. Pregnant women in developed countries are at risk of suboptimal micronutrient intakes. Folate, iron, and vitamin D intakes were consistently below nutrient recommendations in each geographical region, and calcium intakes in Japan were below the Japanese recommendations and the average intake levels in other developed countries. Research examining the implications of potential nutrient insufficiency on maternal and offspring health outcomes is needed along with improvements in the quality of dietary intake reporting.

Systematic review and meta-analysis of energy and macronutrient intakes during pregnancy in developed countries.

Research reporting diet during pregnancy in nationally representative samples is limited. This review summarizes the dietary intakes of pregnant women in developed countries and compares them with national recommendations. A systematic search without date limits was conducted. All studies reporting the macronutrient intakes of pregnant women were considered, irrespective of design. Two authors independently identified the studies to be included and assessed the methodological quality. Nutritional adequacy was summarized, with confounding factors considered. Meta-analysis data are reported for developed countries collectively, by geographical region, and by dietary methodology. Energy and macronutrient intakes of pregnant women do not match national recommendations. Energy and fiber intakes were consistently below recommendations, while total fat and saturated fat intakes were generally above recommendations and carbohydrate and polyunsaturated fat intakes were below to borderline low compared with recommendations. A mismatch between dietary practices and macronutrient recommendations in pregnant women is widespread and not well quantified. The implications of these practices are unknown until further research compares maternal diet with short-term and long-term maternal and offspring health outcomes.

Dietary balance during pregnancy is associated with fetal adiposity and fat distribution.

BACKGROUND: The prenatal environment can induce permanent changes in offspring phenotype. Thinness at birth is associated with adult risk of cardiometabolic disease. OBJECTIVE: The objective was to investigate the association between maternal nutrition during pregnancy and intrauterine development of fetal body composition. DESIGN: We used prospective data from 179 Australian women with singleton pregnancies from the Women and Their Children's Health Study. A validated food-frequency questionnaire was used at 18-24 wk and 36-40 wk of gestation to quantify maternal diet during the previous 3 mo of pregnancy. Fetal body-composition measurements were ascertained from abdominal and midthigh sites by ultrasound performed at 19, 25, 30, and 36 wk. The subcutaneous fat area at each site was calculated by subtracting the lean/visceral area from the total area. RESULTS: In linear mixed-model regressions, maternal intakes of protein (b = -0.13; P = 0.04) and starch (b = 0.10; P = 0.02) and the protein:carbohydrate ratio (b = -3.61; P = 0.02) were associated with the percentage of abdominal fat, whereas SFA (b = 0.27; P = 0.04) and PUFA (b = -0.48; P = 0.03) were associated with the percentage of midthigh fat. Response surfaces for fetal adiposity were maximized at different macronutrient intakes. Abdominal fat was highest with low protein intakes (<16% of energy), and midthigh fat was highest at intermediate protein (18-21% of energy), high fat (>40% of energy), and low carbohydrate (<40% of energy) intakes. CONCLUSION: Fetal body composition may be modifiable via nutritional intervention in the mother and thus may play an important role in influencing the offspring's risk of future disease.