Relationship between growth and feeding in infancy and body mass index at the age of 6 years

To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldOBJECTIVE: To assess the relationship between size and growth measurements in infancy to body mass index (BMI) at 6 y. DESIGN: A longitudinal observation study on randomly chosen infants' growth and consumption in infancy. Follow-up until the age of 6 y. SUBJECTS: A total of 90 children who were born healthy and full-term. MEASUREMENTS: Weight and height were measured at maternity wards and healthcare centers in Iceland throughout infancy and at 6 y. Food records were made every month during infancy. At 2, 4, 6, 9 and 12 months, food was weighed to calculate food and nutrient intake. RESULTS: Weight gain from birth to 12 months as a ratio of birth weight was positively related to BMI at the age of 6 y in both genders (B=2.9+/-1.0, P=0.008, and B=2.0+/-0.9, P=0.032 for boys and girls, respectively). Boys in the highest quartile of protein intake (E%) at the age of 9-12 months had significantly higher BMI (17.8+/-2.4 kg/m(2)) at 6 y than the lowest (15.6+/-1.0 kg/m(2), P=0.039) and the second lowest (15.3+/-0.8 kg/m(2), P=0.01) quartile. Energy intake was not different between groups. Together, weight gain at 0-12 months and protein intake at 9-12 months explained 50% of the variance in BMI among 6-y-old boys. CONCLUSION: Rapid growth during the first year of life is associated with increased BMI at the age of 6 y in both genders. In boys, high intake of protein in infancy could also contribute to childhood obesity

Iron status in 6-y-old children: associations with growth and earlier iron status

To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldOBJECTIVE: To investigate the iron status of 6-y-old children and its association with growth and earlier iron status. DESIGN: In a cross-sectional study, children's body size measurements were recorded and blood samples taken near their sixth birthday. SUBJECTS: A sample of 188 children, randomly selected in two previous studies, was contacted, and 139(74%) agreed to participate. RESULTS: No children had iron deficiency anaemia, one was iron-deficient (serum ferritin (SF) or =15 microg/l (258+/-31%; n=49) (P=0.001). MCV at 2 y predicted weight gain from 2 to 6 y (B+/-s.e.=1.721+/-0.581; P=0.005; adj. R2=0.153) (n=44); also, children with SF or =15 microg/l (n=35) gained 9.6+/-2.8 kg (P=0.007), furthermore a difference was seen in proportional weight gain from 2 to 6 y between children with depleted iron stores at 2 y and not, or 156+/-13 vs 169+/-18% (P=0.038). CONCLUSION: The results suggest that low iron status at 1 and 2 y might lead to slower growth up to 6 y of age. Low iron status at 1 and 2 y and/or slower growth from 1 and 2 y up to 6 y might contribute to worse iron status at 6 y, while faster growth in early childhood is related to lower iron status

Associations of iron status with dietary and other factors in 6-year-old children

To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldOBJECTIVE: To investigate the associations of iron status at 6 years of age with dietary and other factors. DESIGN: In a cross-sectional study, children's dietary intakes (3-day weighed food record) were recorded, body size was measured and blood samples were taken near their sixth birthday. SUBJECTS: A sample of 188 children, from two previous studies (cohorts 1 and 2), was contacted, and 139 (74%) agreed to participate. RESULTS: Multiple regression analyses with dietary and other factors showed that meat and fish consumption, multivitamin/mineral supplement intake (both positively) and cow's milk product consumption (negatively) were associated with log serum ferritin (SF) (adjusted R (2)=0.125; P=0.028; n=129), and juices and residence (rural>urban) with haemoglobin (Hb) (adjusted R (2)=0.085; P=0.034; n=127). Of 21 multivitamin/mineral consumers, none had depleted iron stores compared to 21 iron-depleted of 108 non-consumers (P=0.024). Children living in rural areas (10,000 inhabitants) (82.1+/-3.2 fl; n=103) (P=0.048). Multiple regression analyses with dietary and other factors and growth showed in cohort 1 that residence (rural>urban), weight gain 0-1years (negatively), and meat and fish intake (positively) were associated with Hb (adjusted R (2)=0.323; P=0.030; n=51), meat and fish (positively) with both log SF (adjusted R (2)=0.069; P=0.035; n=52) and MCV (adjusted R (2)=0.064; P=0.035; n=52), and in cohort 2 cow's milk product consumption (negatively) was associated with log SF (adjusted R (2)=0.119; P=0.017; n=41) and residence (rural>urban) with MCV (adjusted R (2)=0.102; P=0.025; n=41). CONCLUSIONS: Consumption of meat and fish and possibly also juices, as well as multivitamin/mineral intake might affect iron status in 6-year-old children positively, whereas cow's milk product consumption might affect iron status negatively. Slower growth in the first year of life and rural residence are positively related to iron status of 6-year-olds

Maternal body mass index, duration of exclusive breastfeeding and children's developmental status at the age of 6 years

To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldOBJECTIVE: To investigate whether the duration of exclusive breastfeeding and maternal body mass index (BMI) are associated with children's developmental status at the time of beginning elementary school. DESIGN AND SUBJECTS: The subjects in the sample came from a longitudinal study on infant nutrition in Iceland. Food records were made once a month from birth to the age of 12 months, from which duration of exclusive breastfeeding could be determined. Mothers filled in The Icelandic developmental inventory for evaluation of motor and verbal development close to their children's sixth birthday (n = 85). Maternal self-reported weight and height was recorded. Information on socioeconomic factors was gathered by a questionnaire. RESULTS: Duration of exclusive breastfeeding, in months, was positively related to children's motor component (B = 0.5+/-0.5, P = 0.054) and to the total developmental index (B = 1.0+/-0.5, P = 0.044) at 6 y, adjusting for gender and socioeconomic factors (maternal and paternal education, and family income). Children's learning score was negatively related to maternal BMI (B = -0.5+/-0.2, P=0.047). An inverse association also appeared between maternal BMI and two out of the three developmental composite scores, that is, verbal component and the total developmental index (B = -0.6+/-0.3, P=0.049) and (B = -0.4+/-0.2, P=0.057), respectively. In multiple regression the developmental indexes were most strongly independently associated with maternal BMI (negatively) and infants' birth weight (positively). CONCLUSION: Maternal BMI and duration of breastfeeding were associated with verbal and motor development of 6-y-old children, independent of socioeconomic factors. Birth weight was also an independent determinant for developmental scores

Nutrition and Iron Status of 1-Year Olds following a Revision in Infant Dietary Recommendations

A previous study showed low iron status in 12-month-old Icelandic infants associated most strongly with cow's milk intake and growth. Infant dietary recommendations were revised in 2003. This study investigated nutrition and iron status in a new infant cohort. Subjects/Methods. Randomly selected infants were prospectively investigated for diet, anthropometry, and iron status (n = 110–141). Results. Breastfeeding initiation rate was 98%; 38% of 5-month olds were exclusively and 20% of 12-month olds partially breastfed. Formula was given to 21% of 6-month olds and 64% of 12-month olds, but cow's milk to 2.5% and 54.4% of 6- and 12-month olds, respectively. Iron depletion (serum ferritin < 12 μg/L) affected 5.8%, 1.4% were also iron deficient (MCV < 74 fl), and none were anemic (Hb < 105 g/l). Iron status associated negatively with growth and breastfeeding duration and positively with meat and formula intake at 9–12 months, but not with cow's milk. Conclusion. Improved iron status might be explained by a shift from cow's milk to formula in the diet of Icelandic 6–12-month olds. Dietary changes altered associations between foods and iron status

Association between size at birth, truncal fat and obesity in adult life and its contribution to blood pressure and coronary heart disease; study in a high birth weight population.

To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldOBJECTIVE: The aim of the study was to assess the relationship between size at birth and obesity as well as truncal fat, and its contribution to cardiovascular risk in a high birth weight population. DESIGN: Cohort-study with retrospectively collected data on size at birth. SETTING: Reykjavik, Iceland. SUBJECTS: A total of 1874 men and 1833 women born in Reykjavik during 1914-1935. MAIN OUTCOME MEASURES: Size at birth. Adult weight, height and skinfold thickness measurements, systolic and diastolic blood pressure, fatal and nonfatal coronary heart disease (CHD). RESULTS: Birth weight was positively related to adult body mass index (BMI) in both genders (B=0.35+/-0.14 kg/m(2), adj. R(2)=0.015, P=0.012 and B=0.34+/-0.17 kg/m(2), adj. R(2)=0.055, P=0.043 in men and women, respectively). However, high birth weight was not a risk factor for adult obesity (BMI>/=30 kg/m(2)). In the highest birth weight quartile, the odds ratio (95% CI) for being above the 90th percentile of truncal fat was 0.7 (0.6-1.0, P=0.021) for men and 0.4 (0.3-0.8, P=0.002) for women, compared with the lowest birth weight quartile. Truncal fat and BMI were positively related to blood pressure in both genders (P<0.05), but not to CHD. The regression coefficient for the inverse association between birth weight and blood pressure hardly changed when adding truncal fat to the model. CONCLUSION: In this high birth weight population, high birth weight was related to higher BMI in adulthood without being a risk factor for adult obesity. The inverse association between birth weight and truncal fat in adulthood suggests a role for foetal development in determining adult fat distribution. The inverse relationship of birth weight to blood pressure seems not to be mediated through the same pathway as to truncal fat

Regional and total body bioelectrical impedance analysis compared with DXA in Icelandic elderly.

To access publisher full text version of this article. Please click on the hyperlink in Additional Links field.BACKGROUND/OBJECTIVES: The aims were (1) to compare fat free mass (FFM) estimates from regional hand-held bioelectrical impedance analysis (HHBIA) with conventional BIA (CBIA) and dual energy X-ray absorptiometry (DXA) and (2) to develop a population specific equation for FFM prediction in Icelandic elderly. SUBJECTS/METHODS: DXA, CBIA and HHBIA data were available for 98 free-living Icelandic elderly (age=73.0 ± 5.6 years, body mass index=28.8 ± 5.2 kg/m(2)). Participants were randomized into a development block (n=50) and validation block (n=48). A population specific equation for FFM prediction was calculated using CBIA-derived resistance and anthropometric data from the development block and then compared with other BIA equations (Deurenberg, Segal, company-specific equations) and DXA estimates using the validation block. RESULTS: The correlations between BIA methods and DXA were very high, that is, >0.9; however, mean differences compared with DXA were quite variable, ranging from -5.0 (Deurenberg) to +2.5 (Segal, HHBIA) and +3.3 kg (CBIA). Mean difference of the population-specific equation was below 0.1 kg. The standard deviations of the differences ranged from 2.6 to 3.3 kg. The limits of agreement of the BIA methods were similar and between 9.9 and 12.9 kg. CONCLUSIONS: In Icelandic elderly, HHBIA and CBIA produce similar FFM estimates when using company-specific prediction equations. CBIA provides the additional possibility to use a population-specific prediction equation, which yields best results. However, limits of agreement were wide and similar of all employed BIA methods, which indicates principal limitations of BIA analysis in the determination of FFM.Icelandic Technology Development Fund 071323008 The University of Iceland Helga Jonsdottir and Sigurlidi Kristjansson Geriatric Research Fun

Iodine status of adolescent girls in a population changing from high to lower fish consumption

To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldObjectives:During the last decades, fish and milk consumption has decreased considerably in Iceland, especially among adolescents. As these food items are important dietary iodine (I) sources, the aim of the study was to assess the iodine status and dietary pattern of adolescent girls in a population changing from a high to lower consumption of milk and fish.Subjects/Methods:Subjects were randomly selected adolescent girls (16-20 years old, n=112). A validated Food Frequency Questionnaire (FFQ) was used to evaluate food consumption and compare it with food-based dietary guidelines for milk and dairy products (2-3 portions/day) and fish (>/=2 times/week). Urine samples were collected for measuring urinary iodine (U-I) and creatinine (Cr) and blood samples for measuring serum thyroid-stimulating hormone (TSH).Results:Milk and dairy products provided 43% and fish provided 24% of the total dietary I. More than 65% of the girls consumed fish less than twice a week, and 40% consumed less than two portions of milk and dairy products per day. The median U-I concentration was 200 mug/l and the U-I/Cr ratio 138 mug I/g Cr. High intake of milk was associated with higher urinary iodine concentration, but fish intake was not found to be directly associated with urinary iodine concentration.Conclusions:Iodine status of Icelandic adolescent girls is within the optimal range defined by the World Health Organization. It is important to monitor both iodine status and the iodine concentration of important sources of iodine, as both dietary habits and composition of food might change with time

Maternal diet in early and late pregnancy in relation to weight gain

To access Publisher full text version of this article. Please click on the hyperlink in Additional Links fieldOBJECTIVE: To identify dietary factors related to the risk of gaining weight outside recommendations for pregnancy weight gain and birth outcome.Design:An observational study with free-living conditions.Subjects:Four hundred and ninety five healthy pregnant Icelandic women. METHODS: The dietary intake of the women was estimated with a semiquantitative food frequency questionnaire covering food intake together with lifestyle factors for the previous 3 months. Questionnaires were filled out at between 11 and 15 weeks and between 34 and 37 weeks gestation. Comparison of birth outcome between the three weight gain groups was made with ANOVA and Bonferroni post hoc tests. Dietary factors related to at least optimal and excessive weight gain during pregnancy were represented with logistic regression controlling for potential confounding. RESULTS: Of the women, 26% gained suboptimal and 34% excessive weight during pregnancy. Women in late pregnancy with at least optimal, compared with women with suboptimal, weight gain were eating more (OR = 3.32, confidence interval (CI)=1.81-6.09, P < 0.001) and drinking more milk (OR = 3.10, CI = 1.57-6.13, P = 0.001). The same dietary factors were related to excessive, compared with optimal, weight gain. Furthermore, eating more sweets early in pregnancy increased the risk of gaining excessive weight (OR=2.52, CI=1.10-5.77, P=0.029). Women with a body mass index of 25.0-29.9 kg/m(2) before pregnancy were most likely to gain excessive weight (OR = 7.37, CI 4.13-13.14, P < 0.001). Women gaining suboptimal weight gave birth to lighter children (P < 0.001) and had shorter gestation (P = 0.008) than women gaining optimal or excessive weight. CONCLUSION: Women who are overweight before pregnancy should get special attention regarding lifestyle modifications affecting consequent weight gain during pregnancy. They are most likely to gain excessive weight and therefore most likely to suffer pregnancy and delivery complications and struggle with increasing overweight and obesity after giving birth