To describe the introduction of complementary foods in a population-based cohort in relation to recommendations and explore the possible impact of maternal education on infant feeding practices.

Prospective data from the All Babies in Southeast Sweden (ABIS) cohort study were used. The ABIS study invited all infants born in south-east Sweden during October 1997–October 1999 (n 21 700) to participate. A questionnaire was completed for 16 022 infants. During the infants’ first year parents continuously filed in a diary covering introduction of foods.

Sweden.

Infants (n 9727) with completed food diaries.

Potatoes, vegetables, fruits/berries and porridge were the foods first introduced, with a median introduction between 19 and 22 weeks, followed by introduction of meat, cow’s milk, follow-on formula and sour milk/yoghurt between 24 and 27 weeks. Early introduction of any food, before 16 weeks, occurred for 27 % of the infants and was more common in infants of mothers with low education. Overall, potatoes (14·7 %), vegetables (11·1 %), fruits/berries (8·5 %), porridge (7·4 %) and follow-on formula (2·7 %) were the foods most frequently introduced early. The majority of infants (≥70 %) were introduced to potatoes, vegetables, fruits/berries and porridge during concurrent breast-feeding, but introduction during concurrent breast-feeding was less common in infants of mothers with low education.

Most infants were introduced to complementary foods timely in relation to recommendations. Low maternal education was associated with earlier introduction of complementary foods and less introduction during concurrent breast-feeding. Still, the results indicated exposure to fewer foods at 12 months in infants of mothers with low education.

To produce study-specific portion sizes for 11-year-old children in a population-based birth cohort and to compare these study-specific portion sizes with previously published children's portion sizes, to assess their relevance today.

Two multiple-pass 24 h dietary recalls were taken. The Food Standard Agency's photographic food atlas was used to quantify intakes. Study-specific food portion sizes were calculated for each food group. Portion sizes were calculated for all children and separately for boys and girls. The nutrient intake from the 24 h dietary recalls was analysed using study-specific and published portion sizes for individual participants. Agreement was assessed using Pearson's correlation, intra-class correlation coefficients and the Bland–Altman method.

Birth cohort study, UK.

Children (mean age 11·3 years, n 264) and parents/guardians.

A total of 124 food portion sizes were calculated. Differences in portion weights between boys and girls were seen only for seven food items. There was a significant positive relationship (P < 0·001) between intakes of each nutrient as determined by the two sets of portion sizes. Correlation coefficients ranged from 0·77 (protein) to 0·98 (β-carotene). The intra-class correlation coefficients showed good agreement between nutrient intakes determined by the study-specific and published portion sizes (P < 0·001).

Nutrient intakes calculated using portion sizes from our population were similar to those calculated from portion size data collected in a national survey, despite being collected over a decade later. The present study adds to the small amount of evidence regarding portion sizes in UK children and shows agreement with previously published paediatric portion sizes.

To determine the relative validity of the pre-coded food diary applied in the Danish National Survey of Dietary Habits and Physical Activity.

A cross-over study among seventy-two adults (aged 20 to 69 years) recording diet by means of a pre-coded food diary over 4 d and a 4 d weighed food record. Intakes of foods and drinks were estimated, and nutrient intakes were calculated. Means and medians of intake were compared, and cross-classification of individuals according to intake was performed. To assess agreement between the two methods, Pearson and Spearman's correlation coefficients and weighted kappa coefficients were calculated.

Validation study of the pre-coded food diary against a 4 d weighed food record.

Seventy-two volunteer, healthy free-living adults (thirty-five males, thirty-seven females).

Intakes of cereals and vegetables were higher, and intakes of fruit, coffee and tea were lower, in the weighed food record compared with the food diary. Intakes of nutrients were grossly the same in the two methods, except for protein, where a higher intake was recorded in the weighed record. In general, moderate agreement between the two methods was found.

Participants were classified moderately correct according to food and nutrient intakes assessed in the pre-coded food diary; however values of absolute food intakes should be used and interpreted with caution. Improvement of the methods to estimate portion size may increase the accuracy of the dietary intake estimates.

To assess the validity of a 148-item quantitative FFQ (QFFQ) that was developed for the Barbados National Cancer Study (BNCS) to determine dietary intake over 12 months and examine the dietary risk factors.

A cross-sectional validation study of the QFFQ against 4 d food diaries. Spearman’s rank correlations (ρ), intra-class correlation coefficients (ICC) and weighted κ were computed as measures of concordance, adjusting for daily variations in the food diaries. Cross-classification tables and Bland–Altman plots were created for further assessment.

BNCS is a case–control study of environmental risk factors for breast and prostate cancer in a predominantly African-origin population in Barbados.

Fifty-four individuals (21 years and older) were recruited among controls in the BNCS who were frequency-matched on sex and age group to breast and prostate cancer cases.

Similar mean daily energy intake was derived from the food diary (8201 kJ (1960 kcal)) and QFFQ (7774 kJ (1858 kcal)). Rho for energy and macronutrients ranged from 0·66 (energy) to 0·17 (dietary fibre). The percentage of energy from carbohydrates and protein showed the highest and lowest ICC among macronutrients (0·63 and 0·27, respectively). The highest weighted κ was observed for energy (0·45). When the nutrient intake was divided into quartiles, approximately 34 % of the observations were in the same quartile.

This investigation supports the validity of the QFFQ as a method for assessing long-term dietary intake except for dietary fibre, folate, vitamins A, E and B12. The instrument will be a useful tool in the analysis of diet–cancer associations in the BNCS.

To nutritionally analyse mean energy intake (EI) from different 3 d intervals within a 7 d recording period and to evaluate the seasonal effect on energy and nutrient intake.

Cross-sectional study of dietary intake collected with 7 d food diaries.

Aberdeen, north-east Scotland, UK, between 2002 and 2004.

Participants from two long-term trials were pooled. These trials, investigating genetic and environmental influences on body weight, were the Genotyping And Phenotyping (GAP) study and a cohort observational study, Rowett Assessment of Childhood Appetite and metaboLism (RASCAL). There were 260 Caucasian adults, BMI range 16·7–49·3 kg/m2, age range 21–64 years.

Mean EI for Wednesday, Friday and Saturday had the closest approximation to the 7 d mean (0·1 % overestimate). A gender × season interaction (P = 0·019) with a different intake pattern for females and males was observed. For females, lower mean (se) EI was recorded in summer (8117 (610) kJ) and autumn (7941 (699) kJ) compared with spring (8929 (979) kJ) and winter (8132 (1041) kJ). For males, higher mean (se) EI was recorded in summer (10 420 (736) kJ) and autumn (10 490 (1041) kJ) compared with spring (9319 (1441) kJ) and winter (9103 (1505) kJ).

The study results indicate that 3 d weighed intakes recorded from Wednesday, Friday and Saturday are most representative of 7 d habitual intake in free-living subjects. They also indicate that seasonality has a limited effect on EI and no effect on macronutrient intake.

The purpose of this survey was to establish a database of habitual food and drink consumption in a representative sample of Irish adults aged 18-64 years.

A cross-sectional food consumption survey was carried out. Food intake data were collected using a 7-day estimated food diary. Anthropometric data included measurements of weight, height, waist and hip circumferences and body composition using bioelectrical impedance analysis. Questionnaire data included assessments of health, lifestyle and socio-demographic status, levels of physical activity, attitudes to diet and health and restrained eating.

Northern Ireland and Republic of Ireland between 1997 and 1999.

In total, 1379 adults aged 18–64 years participated in the survey and completed the 7-day food diary. This paper gives details of the methods used to carry out the survey. Sampling, respondent recruitment, dietary assessment, collection of anthropometric and questionnaire data and data management and analysis are described.

The North/South Ireland Food Consumption Survey is unique in being the first food consumption survey ever to be carried out in the Republic of Ireland and Northern Ireland concurrently using the same methodology.

To validate energy intake (EI) estimated from pre-coded food diaries against energy expenditure (EE) measured with a validated position-and-movement monitor (ActiReg®) in groups of 13-year-old Norwegian schoolchildren.

Two studies were conducted. In study 1 the monitoring period was 4 days; participants recorded their food intake for four consecutive weekdays using food diaries and wore the ActiReg® during the same period. In study 2 the monitoring period was 7 days; participants recorded their food intake for four consecutive days but wore the ActiReg® for a whole week.

Participants were recruited from grade 8 in a school in and one outside Oslo (Norway).

Forty-one and 31 participants from study 1 and 2, respectively, completed the study.

The group average EI was 34% lower than the measured EE in study 1 and 24% lower in study 2. The width of the 95% confidence limits of agreement in a Bland–Altman plot for EI and EE varied from -0.2 MJ to 8.2 MJ in study 1 and from -2.3 MJ to 6.9 MJ in study 2. The Pearson correlation coefficients between reported energy intake and expenditure were 0.47 (P = 0.002) in study 1 and 0.74 (P < 0.001) in study 2.

The data showed that there was substantial variability in the accuracy of the food diary at the individual level. Furthermore, the diary underestimated the average energy intake. The ability of the food diary to rank individuals according to energy intake was found to be good in one of the studies and moderate in the other.