Public Health Nutrition

Descriptive analyses of 63 922 pantry ordering records before and after the visible ranks identified an increase in the proportion of green items ordered (39·3–45·4 %) and a decrease in the proportion of red items ordered (10·5–5·1 %). ITS analyses controlling for monthly changes in inventory available and pantry variables indicated that average monthly orders of green items increased by 1286 pounds (P< 0·001) and red orders decreased by 631 pounds (P= 0·045). Among the largest changes were increases in orders of fresh produce, brown rice, low-fat dairy and low-fat meats and decreases in orders of sugary juice drinks, canned fruit with added sugar, higher fat dairy and higher fat meats.

Mean WHR was 0.82 ± 0.06. The possibility of being centrally obese was higher in women with light physical activity (odds ratio: 2.11; 95% confidence interval: 1.40–2.53), depressed women (1.36; 1.02–1.93), smokers (1.21; 1.02–1.56) and unemployed women (1.41; 1.13–1.72). Marriage (1.31; 1.10–1.82), menopause (1.22; 1.02–1.61), low vitamin C intake (2.31; 1.25–4.25) and low calcium intake (1.30; 1.07–3.78) were associated with central fat accumulation. Dairy consumption was inversely correlated with central fat accumulation (r= −0.2,P< 0.05).

These data provide some evidence that variation in childhood milk and dairy product intakes underlies associations of leg length, IGF-I and cancer risk. The association appears to be due to the protein content of milk.

For non-married households, increased food insecurity in female-v. male-led households was accounted for by significant differences in household socio-economic characteristics. In contrast, in married/cohabiting households with or without children, higher food insecurity rates were reported when the respondent was female and neither respondent characteristics nor socio-economic factors accounted for the differences.

For non-married households, increased food insecurity in female-v. male-led households was accounted for by significant differences in household socio-economic characteristics. In contrast, in married/cohabiting households with or without children, higher food insecurity rates were reported when the respondent was female and neither respondent characteristics nor socio-economic factors accounted for the differences.

There were inconsistent trends in the prevalence of concurrent stunting and overweight from waves 1 to 4. Children were more likely to be stunted and overweight when they were in the youngest age group (2·0–2·9 years), were weaned after the age of 6 months, had short-statured mothers or lived in rural areas. Stunted children were significantly more likely to be overweight than healthy-height children (OR>1) but did not differ significantly different across each wave (OR=1·34–2·01).

The prevalence of wasting, stunting, overweight and stunting-overweight was 5·3, 10·5, 10·1 and 1·6 %, respectively. In multivariate analyses, children under 6 months, children from low and middle wealth tertiles, and children living in rural areas were prone to being wasted. Male children, low wealth tertile and a non-Thai speaking household head were positively and children aged 48–59 months and a one-child household were inversely associated with stunting. Children from a low wealth tertile were less likely to be overweight, while older age, male children and children from a one-child household were more likely to be overweight. Stunting-overweight was associated with children aged 24–47 months, male children, mothers having secondary education, a one-child household, a non-Thai speaking household head and an urban area. In terms of IYCF indicators, despite no association with stunting and stunted-overweight children, current breast-feeding and inadequate meal frequency were associated with being wasting, while current breast-feeding and dietary diversity were inversely associated with being overweight.

Mean MEDLIFE score was 11·3 (sd 2·6; range: 0–28), and the quintile distribution of MEDLIFE score showed a significant association with each of the individual items as well as with specific nutrients and lifestyle indicators (intra-validity). We also quantified MEDLIFE correspondence with previously reported diet quality indices and found significant correlations (ρ range: 0·44–0·53; P<0·001) for the Alternate Healthy Eating Index, the Alternate Mediterranean Diet Index and Mediterranean Diet Adherence Screener.

One hundred and eighty-seven participants completed the study (64·2 % female, 35·8 % male). For all particpants, for all food group intakes, the mean SCC was 0·70 (SCC≥0·62 were observed for all strata); the mean percentage of participants cross-classified into categories of ‘exact agreement+adjacent’ was 90·1 % (percentages≥87·8 % were observed for all strata); and the meanκ_wwas 0·55 (κ_w≥0·53 in ten of the twelve strata).

Two-thirds reported reducing meat consumption in at least one category over three years, with reductions of red and processed meat most frequent. The most common reasons for reduction were cost and health; environment and animal welfare lagged. Non-meat reducers commonly agreed with statements suggesting that meat was healthy and ‘belonged’ in the diet. Vegetables were most often consumed ‘always’ in meatless meals, but cheese/dairy was also common. Reported meat reduction was most common among those aged 45–59 years and among those with lower incomes.