To identify and describe dietary patterns in a cohort of pregnant women, and investigate whether dietary patterns during pregnancy are related to postpartum depression (PPD).

The study uses data from the prospective mother–child cohort ‘Rhea’ study. Pregnant women completed an FFQ in mid-pregnancy and the Edinburg Postpartum Depression Scale (EPDS) at 8–10 weeks postpartum. Dietary patterns during pregnancy (‘health conscious’, ‘Western’) were identified using principal component analysis. Associations between dietary patterns categorized in tertiles and PPD symptoms were investigated by multivariable regression models after adjusting for confounders.

Heraklion, Crete, Greece, 2007–2010.

A total of 529 women, participating in the ‘Rhea’ cohort.

High adherence to a ‘health conscious’ diet, characterized by vegetables, fruit, pulses, nuts, dairy products, fish and olive oil, was associated with lower EPDS scores (highest v. lowest tertile: β-coefficient = −1·75, P = 0·02). Women in the second (relative risk (RR) = 0·52, 95 % CI 0·30, 0·92) or third tertile (RR = 0·51, 95 % CI 0·25, 1·05) of the ‘health conscious’ dietary pattern were about 50 % less likely to have high levels of PPD symptoms (EPDS ≥ 13) compared with those in the lowest tertile.

This is the first prospective study showing that a healthy diet during pregnancy is associated with reduced risk for PPD. Additional longitudinal studies and trials are needed to confirm these findings.

To compare dietary patterns and food and macronutrient intakes among adults in three ethnic groups in rural Kenya.

In the present cross-sectional study, dietary intake was estimated in adult volunteers using two non-consecutive interactive 24 h recalls. Dietary patterns were assessed from the number of meals and snacks per day and from the food items and major food groups registered, and their contribution to energy intake (EI) was calculated. Anthropometric values were measured and sociodemographic data obtained using a questionnaire.

A cross-sectional study was conducted in the Bondo, Kitui and Transmara districts of rural Kenya. A high prevalence of food insecurity in Kenya underlines the importance of describing the dietary patterns and intakes in different Kenyan ethnic groups.

A total of 1163 (61 % women) adult Luo, Kamba and Maasai, with a mean age of 38·6 (range: 18–68) years, volunteered to participate.

Dietary patterns and food groups contributing to EI differed significantly among the ethnic groups. Mean EI ranged from 5·8 to 8·6 MJ/d among women and from 7·2 to 10·5 MJ/d among men, with carbohydrates contributing between 55·7 % and 74·2 % and fat contributing between 14·5 % and 30·2 % of total EI. Mean protein intake ranged from 0·72 to 1·3 g/kg per d, and EI:BMR ratio ranged between 1·1 and 1·6 in both sexes, and was highest among the Luo. Prevalence of underweight (BMI < 18·5 kg/m2) was 13·7 %, 20·5 % and 24·2 % in the Luo, Kamba and Maasai, respectively.

The degree of food insecurity measured as a degree of undernutrition and as dietary patterns differed considerably among the ethnic groups. The Maasai and Kamba in particular were exposed to food insecurity.

To examine diet costs in relation to dietary quality and socio-economic position, and to investigate underlying reasons for differences in diet costs.

Dietary intake was assessed by a 4 d food diary and evaluated using the 2005 Healthy Eating Index (HEI). National consumer food prices collected by Statistics Sweden and from two online stores/supermarkets were used to estimate diet costs.

Sweden.

A nationally representative sample of 2160 children aged 4, 8 or 11 years.

Higher scores on the HEI resulted in higher diet costs and, conversely, higher diet costs were linked to increased total HEI scores. Children who consumed the most healthy and/or expensive diets ate a more energy-dilute and varied diet compared with those who ate the least healthy and/or least expensive diets. They also consumed more fish, ready meals and fruit. Regression analysis also linked increased food costs to these food groups. There was a positive, but weak, relationship between HEI score and diet cost, parental education and parental occupation respectively.

Healthy eating is associated with higher diet cost in Swedish children, in part because of price differences between healthy and less-healthy foods. The cheapest and most unhealthy diets were found among those children whose parents were the least educated and had manual, low-skill occupations. Our results pose several challenges for public health policy makers, as well as for nutrition professionals, when forming dietary strategies and providing advice for macro- and microlevels in society.

The present study directly compared prices of more and less nutritious foods within given categories in US supermarkets.

Foods selected from six supermarkets in Jackson County were categorized using the five criteria of the Nutrition Detectives™ (ND) programme and an item-to-item cost comparison was made using posted prices. The nutritional quality of foods was distinguished using the clues of the ND nutrition education programme for elementary-school children and validated using the Overall Nutritional Quality Index.

Supermarkets in Jackson County, MO, USA.

Not applicable.

The average price of the item for more nutritious foods did not differ significantly from that of less nutritious foods overall ($US 2·89 (sd $US 0·74) v. $US 2·85 (sd $0·68), P = 0·76). More nutritious breads cost more than less nutritious breads ($US 3·36 (sd $ US 0·28) v. $US 2·56 (sd $US 0·80, P = 0·03), whereas more nutritious cereals ($US 2·46 (sd $US 0·69) v. $US 3·50 (sd $US 0·30), P < 0·01) and cookies ($US 2·76 (sd $US 0·50) v. $US 3·40 (sd $US0·28), P < 0·01) cost less.

Our findings indicate that it is possible to choose more nutritious foods within many common categories without spending more money and suggest that making small improvements in dietary choices does not invariably cost more.