Purchasing Behavior, Setting, Pricing, Family: Determinants of School Lunch Participation

Despite growing school lunch availability in Germany, its utilization is still low, and students resort to unhealthy alternatives. We investigated predictors of school lunch participation and reasons for nonparticipation in 1215 schoolchildren. Children reported meal habits, parents provided family-related information (like socioeconomic status), and anthropometry was conducted on-site in schools. Associations between school lunch participation and family-related predictors were estimated using logistic regression controlling for age and gender if necessary. School was added as a random effect. School lunch participation was primarily associated with family factors. While having breakfast on schooldays was positively associated with school lunch participation (ORadj = 2.20, p = 0.002), lower secondary schools (ORadj = 0.52, p < 0.001) and low SES (ORadj = 0.25, p < 0.001) were negatively associated. The main reasons for nonparticipation were school- and lunch-related factors (taste, time constraints, pricing). Parents reported pricing as crucial a reason as an unpleasant taste for nonparticipation. Nonparticipants bought sandwiches and energy drinks significantly more often on school days, whereas participants were less often affected by overweight (OR = 0.66, p = 0.043). Our data stress school- and lunch-related factors as an important opportunity to foster school lunch utilization.

Design of a Prospective, Randomized Evaluation of an Integrated Nutrition Program in Rural Viet Nam

Few prospective studies of child growth and its determinants take place in programmatic contexts. We evaluated the effect of Save the Children's (SC) community empowerment and nutrition program (CENP) on child growth, care, morbidity, empowerment, and behavioral determinants. This paper describes the research methods of this community-based study. We used a longitudinal, prospective, randomized design. We selected 12 impoverished communes with documented child malnutrition, three comparison, and three intervention communes in each of two districts in Phu Tho Province, west of Hanoi. SC taught district trainers in November 1999 to train local health volunteers to implement the 10-month CENP, including situation analysis, positive deviance (PD) inquiry, growth monitoring and promotion, nutrition education and rehabilitation program (NERP), deworming, and monitoring. PD inquiries aim to discover successful care practices in poor households that likely promote well-nourished children. NERPs are neighborhood-based, facilitated group learning sessions where caregivers of malnourished children learn and practice PD and other healthy behaviors. We dewormed all intervention and comparison children. We weighed all children less than 24 months of age living in the intervention and comparison communes and randomly selected 240 children (120 intervention and 120 comparison). We gathered information on nutritional status, diet, illness, care, behavioral determinants, empowerment, and program quality, monthly for six months with a re-survey at 12 months. We collected most information through maternal interview but also observed hygiene and program quality, and videotaped feedings at home. Some implementation and research limitations will attenuate CENP impact and measurement of its effectiveness.

An Integrated Child Nutrition Intervention Improved Growth of Younger, More Malnourished Children in Northern Viet Nam

Integrated nutrition programs are widely used to prevent and/or reverse childhood malnutrition, but rarely rigorously evaluated. The impact of such a program on the physical growth of young rural Vietnamese children was measured. We randomized six communes to receive an integrated nutrition program implemented by Save the Children. We matched six communes to serve as controls. Our sample consisted of 238 children ( n = 119 per group) who were 5 to 30 months old on entry. Between December 1999 and December 2000, we measured weight and height monthly for six months and again at month 12. Principle outcomes were weight-for-age Z score (WAZ), height-for-age Z score (HAZ), and weight-for-height Z score (WHZ), and the changes among these measures. As expected, anthropometric indicators relative to international references worsened as the children aged. Overall, children in the intervention communes who were exposed to the integrated nutrition program did not show statistically significant better growth than comparison children. Intervention children who were younger (15 months or less) and more malnourished (less than −2 Z) at baseline, however, deteriorated significantly less than their comparable counterparts. Between baseline and month four, for example, intervention children who were malnourished and less than 15 months old at entry lost on average 0.05 WAZ while similar comparison children lost 0.25 WAZ ( p = .02). Lack of overall impact on growth may be due to a lower than expected prevalence of malnutrition at baseline and/or deworming of comparison children. Targeting nutrition interventions at very young children will have the maximum impact on growth.

Effect of clothing weight on body weight

BACKGROUND

In clinical settings, it is common to measure weight of clothed patients and estimate a correction for the weight of clothing, but we can find no papers in the medical literature regarding the variability in clothing weight of adults with weather, season and gender.

METHODS

Fifty adults (35 women) were weighed four times during a 12-month period with and without clothing. Clothing weights were determined and regressed against minimum, maximum and average daily outdoor temperature.

RESULTS

The average clothing weight (±s.d.) throughout the year was significantly greater in men than in women (1.2±0.3 vs 0.8±0.3 kg, P<0.0001). The average within-person minimum and the average within-person maximum clothing weights across the year were 0.9±0.2 and 1.5±0.4 kg for men, and 0.5±0.2 and 1.1±0.4 kg for women, respectively. The within-person s.d. in clothing weight was 0.3 kg for both men and women. Over the 55 °C range in the lowest to the highest outdoor temperatures, the regressions predicted a maximal change in clothing weight of only 0.4 kg in women and 0.6 kg in men.

CONCLUSION

The clothing weight of men is significantly greater than that of women, but there is little variability throughout the year. Therefore, a clothing adjustment of approximately 0.8 kg for women and 1.2 kg for men is appropriate regardless of outdoor temperature.