What a mother thinks about her child’s weight status might influence what and how she feeds her child. We examined the association between maternal perception, concern and dissatisfaction with child weight alongside feeding practices. Participants were from the Generation XXI birth cohort (n = 3233). A validated version of the Child Feeding Questionnaire and the Overt/Covert Control scale were used. Associations were evaluated by linear regression models (β coefficients and 95 % confidence intervals (95 % CI) with Bonferroni correction). Perceived underweight was associated with practices promoting food intake, such as higher pressure to eat at ages 4 and 7 years (β = 0·229; 95 % CI: 0·059, 0·398 and β = 0·190; 95 % CI:0·005, 0·376, respectively) and lower restriction at age 4 (β = –0·175; 95 % CI: –0·0310, –0·039). At age 7, perceived overweight was associated with higher covert control (β = 0·203; 95 % CI: 0·029, 0·376). Mothers who were concerned about child weight reported higher restriction (β = 0·226; 95 % CI: 0·142, 0·310 at 4 years and β = 0·261; 95 % CI: 0·169, 0·353 at 7 years) and covert control (β = 0·183; 95 % CI: 0·083, 0·282 at 4 years and β = 0·171; 95 % CI: 0·073, 0·269 at 7 years). Maternal desire for a heavier child was associated with higher pressure to eat at both ages (β = 0·285; 95 % CI: 0·163, 0·406 and β = 0·393; 95 % CI: 0·266, 0·520), while the desire for a thinner child was related to higher covert control at 7 years of age (β = 0·158; 95 % CI: 0·001, 0·316). Maternal perceptions and concern for child weight status are associated with feeding practices independently of actual weight status.

The limitations of self-report measures of dietary intake are well-known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self-Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent–child dyads participated in two, 3-d dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake between assessments, and between each assessment method and the Estimated Energy Requirement (EER). Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (P = 0·0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (P = 0·008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = −148 kcal, P = 0·09). Median satisfaction and ease of use scores were five out of six for both methods. A higher proportion of parents reported that the ASA24 was more time-consuming than the RFPM (74·4 % v. 25·6 %, P = 0·002). Utilisation of both methods is warranted given their high satisfaction among parents.

We aim to determine the association between Fe status and the metabolic syndrome (MetS) during menopause. Records of 1069 premenopausal and 703 postmenopausal Korean women were retrieved from the database of the fifth Korean National Health and Nutrition Examination Survey (KNHANES V 2012) and analysed. The association between the MetS and Fe status was performed using multivariable-adjusted analyses, subsequently develop a prediction model for the MetS by margin effects. We found that the risk of Fe depletion among postmenopausal women was lower than premenopausal women (PR = 0·813, 95 % CI 0·668, 0·998, P = 0·038). The risk of the MetS was 2·562-fold lower among premenopausal women with than without Fe depletion (PR = 0·390, 95 % CI 0·266, 0·571, P < 0·001). In contrast, the risk of the MetS tended to be higher among postmenopausal women with than without Fe depletion (PR = 1·849, 95 % CI 1·406, 2·432, P < 0·001). When the serum ferritin levels increased, the risk of the MetS increased in both premenopausal women and postmenopausal women. The margin effects showed that an increase in serum Hb and ferritin was associated with an increase in the risk of the MetS according to menopausal status and age group. Therefore, ferritin is the most validated and widely used Fe marker, could be a potential clinical value in predicting and monitoring the MetS during menopause. Further prospective or longitudinal studies, especially, clinically related studies on menopause and Fe status, are needed to clarify the causality between serum ferritin levels and the MetS that could offer novel treatments for the MetS.

The association between the intake of non-alcoholic beverages and CVD in Asians is uncertain. The intake of non-alcoholic beverages was estimated in 77 407 participants of the Japan Public Health Centre-based cohort study aged 45–74 years. The Cox regression calculated the hazard ratios (HR) and 95 % CI for incident CVD according to sex-specific quintiles of intake of non-alcoholic beverages. A total of 4578 incident CVD (3751 strokes and 827 CHD) were diagnosed during a 13·6-year median follow-up. The risks of stroke and total CVD were lower for the highest v. lowest intake quintiles of non-alcoholic beverages in men and women: the multivariable HRs (95 % CIs) were 0·82 (0·71, 0·93, Ptrend = 0·005) and 0·86 (0·76, 0·97, Ptrend = 0·02), respectively, in men and were 0·73 (0·63, 0·86, Ptrend = 0·003) and 0·75 (0·65, 0·87, Ptrend = 0·005), respectively, in women. The reduced risk was evident for both ischaemic and haemorrhagic strokes and was mainly attributable to green tea consumption. The intake of non-alcoholic beverages from coffee and other beverages was not associated with the risk of CVD in both men and women. Also, there was no association between the intake of non-alcoholic beverages and the risk of CHD in either sex. In conclusion, the risks of stroke and total CVD were lower with a higher intake of non-alcoholic beverages in Japanese men and women.

Inadequate sleep and poor eating behaviours are associated with higher risk of childhood overweight and obesity. Less is known about the influence sleep has on eating behaviours and consequently body composition. Furthermore, whether associations differ in boys and girls has not been investigated extensively. We investigate associations between sleep, eating behaviours and body composition in cross-sectional analysis of 5-year-old children. Weight, height, BMI, mid upper arm circumference (MUAC), abdominal circumference (AC) and skinfold measurements were obtained. Maternal reported information on child’s eating behaviour and sleep habits were collected using validated questionnaires. Multiple linear regression examined associations between sleep, eating behaviours and body composition. Sleep duration was negatively associated with BMI, with 1-h greater sleep duration associated with 0·24 kg/m2 (B = 0·24, CI −0·42, −0·03, P = 0·026) lower BMI and 0·21 cm lower (B = –0·21, CI −0·41, −0·02, P = 0·035) MUAC. When stratified by sex, girls showed stronger inverse associations between sleep duration (h) and BMI (kg/m2) (B = –0·32; CI −0·60, −0·04, P = 0·024), MUAC (cm) (B = –0·29; CI −0·58, 0·000, P = 0·05) and AC (cm) (B = –1·10; CI −1·85, −0·21, P = 0·014) than boys. Positive associations for ‘Enjoys Food’ and ‘Food Responsiveness’ with BMI, MUAC and AC were observed in girls only. Inverse associations between sleep duration and ‘Emotional Undereating’ and ‘Food Fussiness’ were observed in both sexes, although stronger in boys. Sleep duration did not mediate the relationship between eating behaviours and BMI. Further exploration is required to understand how sleep impacts eating behaviours and consequently body composition and how sex influences this relationship.

This work investigated the effects of repeated sweet taste exposure at breakfast on perceptions and intakes of other sweet foods, while also examining the effects due to duration of exposure (1/3 weeks), test context (breakfast/lunch) and associations between taste perceptions and intakes. Using a randomised controlled parallel-group design, participants (n 54, 18 male, mean age: 23·9 (sd 5·8) years, mean BMI: 23·6 (sd 3·5) kg/m2) were randomised to consume either a sweet breakfast (cereal with sucralose) (n 27) or an equienergetic non-sweet breakfast (plain cereal) (n 27) for 3 weeks. On days 0 (baseline), 7 and 21, pleasantness, desire to eat and sweetness were rated for other sweet and non-sweet foods and sweet food consumption was assessed in an ad libitum meal at breakfast and lunch. Using intention-to-treat analyses, no statistically significant effects of exposure were found at breakfast (largest F2,104 = 1·84, P = 0·17, ηp2 = 0·03) or lunch (largest F1,52 = 1·22, P = 0·27, ηp2 = 0·02), and using Bayesian analyses, the evidence for an absence of effect in all rating measures was strong to very strong (smallest BF01 = 297·97 (BF01error = 2·68 %)). Associations between ratings of pleasantness, desire to eat and intake were found (smallest r = 0·137, P < 0·01). Effects over time regardless of exposure were also found: sugars and percentage energy consumed from sweet foods increased throughout the study (smallest (F2,104 = 4·54, P = 0·01, ηp2 = 0·08). These findings demonstrate no effects of sweet taste exposure at breakfast for 1 or 3 weeks on pleasantness, desire for, sweetness or intakes of other sweet foods in either the same (breakfast) or in a different (lunch) meal context.