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We examined the relationship between consumption of fruit and vegetables during pregnancy and anthropometric measures at birth in a general population mother-infant cohort in Valencia, Spain. A total of 787 infants born between May 2004 and February 2006 were included. Fruit and vegetable consumption during pregnancy was assessed by a FFQ administered using an in-person interview. We used multiple linear regression to assess associations between fruit and vegetable intake (in quintiles) and birth weight and length adjusted for sex and gestational age, and logistic regression to assess being small for gestational age (SGA) in weight and SGA in length, defined as adjusted birth weight or length below the 10th percentile. A linear relationship was found between vegetable consumption and having a SGA (weight) and SGA (length) baby. Women in the lowest quintile of vegetable intake during the first trimester had a higher odds of having a SGA (weight) baby than women in the highest quintile odds ratio (OR), 3.7; 95% Cl: 1.5-8.9; P-trend < 0.0011 and had a higher odds of having an SGA (length) baby in the third trimester (OR, 5.5; 95% Cl: 1.7-17.7; P-trend = 0.04) in multivariate analysis. We found a nonmonotonic relationship between adjusted birth weight and length and vegetable consumption during the first trimester; newborns in the 2 lowest quintiles of intake had a significantly lower weight and length than those in the 4th quintile. There was no association between fruit consumption and birth outcomes. Our findings indicate that vegetable consumption throughout pregnancy may have a beneficial effect on fetal growth. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To analyse the association of time watching television (TV) and physical activity with obesity in the Mediterranean area of Spain with the highest prevalence of obesity. DESIGN: Cross-sectional study. SETTING: Valencia Region in Spain. PARTICIPANTS: A representative sample of 814 men and 958 women, aged 15 y and older, participating in a Health and Nutrition Survey conducted in 1994. MEASUREMENTS: Height and weight were directly measured during home interviews. The outcome measure was obesity, defined as a body mass index ≥30 kg/m². Covariates were self-reported hours of TV viewing, physical activity habits, sleeping duration, age, gender, educational level, smoking and marital status. Prevalence odds ratios (POR) estimated by logistic regression were used as effect measures. RESULTS: Obese people reported to spend more time watching TV (mean±s.d.: 3.6±1.5 h/day) than non-obese ones (3.0±1.4 h/day), and less sleeping time. In multivariate analysis, obesity was associated with TV viewing, sleeping time and physical activity at work. People watching TV ≥4 h/day showed a higher adjusted prevalence odds ratio of obesity, POR=2.38 (95% confidence interval, 1.54-3.69), compared with those watching TV ≤1 h/day. People who reported to sleep ≥9 h/day presented a lower POR of obesity than those sleeping ≤6 h/day, POR=0.43 (0.27-0.67). Statistically significant dose-responses were observed for both associations, so that the prevalence odds ratio of obesity was 30% higher for each hour of increased TV viewing and 24% lower for each additional hour of sleeping time. In addition, the prevalence of obesity was lowest among single people, those more physically active at work, and those with a high educational level. CONCLUSION: Time spent watching television and a low physical activity at work were related to obesity in adults. The inverse association between obesity and sleep duration deserves further research. [ABSTRACT FROM AUTHOR]