Report of the Section of Agencies and Institutions Division of Child Welfare State Department of Social Welfare, 1943

History of child and social welfare in the State of Iowa including legal responsibilities, rules and regulations, inspections and licensing and supervision. it also covers cooperation with state agencies. It also describes in detail the histories, functions and problems of individual welfare homes and schools.

2008 Iowa Youth Survey State of Iowa Results, Revised June 2009

In September and October of 2008, the Iowa Department of Public Health (IDPH) collaborated with schools in Iowa to conduct the 2008 Iowa Youth Survey (IYS). The 2008 IYS is the twelfth in a series of surveys that have been completed every three years since 1975. The survey is conducted with students in grades 6, 8, and 11 attending Iowa public and private schools. The IYS includes questions about students’ behaviors, attitudes, and beliefs, as well as their perceptions of peer, family, school, neighborhood, and community environments.

2002 Iowa Youth Survey State of Iowa Results, April 2003

The 2002 Iowa Youth Survey (IYS) State of Iowa report was designed to help state-level planners identify youth development-related needs, develop relevant programs, and assess the outcomes of those programs. These data can help us better understand our youth and their needs. They can help us assess the strengths and weaknesses of our schools, families and communities from the young person’s perspective. In addition, the data in this report help the state obtain funds for a wide variety of programs. At every step in the process – from needs identification, to program development and implementation, to program assessment – the 2002 IYS data will provide a valuable resource. The state report can also help Iowa’s schools, area education agencies and counties assess their relative strengths and weaknesses. The grades 6, 8, and 11, as well as male and female percentages reported in each of these reports can be compared with the respective state report percentages. The higher the proportion of students in each of these columns that completed a usable IYS questionnaire, the more likely the comparisons with the state report percentages will be unbiased. Such comparisons should be considered exploratory, but for the most part are likely to prove useful.

2005 Iowa Youth Survey State of Iowa Results, Revised December 2006

The 2005 Iowa Youth Survey (IYS) State of Iowa report was designed to help state-level planners identify youth development-related needs, develop relevant programs, and assess the outcomes of those programs. These data can help you better understand our youth and their needs. They can also help you assess the strengths and weaknesses of our schools, families, and communities from the young person’s perspective. In addition, the data in this report help the state obtain funds for a wide variety of programs. At every step of the process–from needs identification, to program development and implementation, to program assessment–the 2005 IYS data will prove to be a valuable resource. The state report can also help Iowa’s schools, area education agencies, and counties assess their relative strengths and weaknesses. The grades 6, 8, and 11, as well as male and female percentages reported in district-level, AEA-level, county-level, and other 2005 IYS reports can be compared with the respective state report percentages. The higher the proportion of students in each of these columns that completed usable IYS questionnaires, the more likely the comparisons with the state report percentages will be unbiased. Such comparisons should be considered exploratory, but for the most part are likely to be useful.

Mobile phone use and brain tumors in children and adolescents: a multicenter case-control study.

Background It has been hypothesized that children and adolescents might be more vulnerable to possible health effects from mobile phone exposure than adults. We investigated whether mobile phone use is associated with brain tumor risk among children and adolescents. Methods CEFALO is a multicenter case-control study conducted in Denmark, Sweden, Norway, and Switzerland that includes all children and adolescents aged 7-19 years who were diagnosed with a brain tumor between 2004 and 2008. We conducted interviews, in person, with 352 case patients (participation rate: 83%) and 646 control subjects (participation rate: 71%) and their parents. Control subjects were randomly selected from population registries and matched by age, sex, and geographical region. We asked about mobile phone use and included mobile phone operator records when available. Odds ratios (ORs) for brain tumor risk and 95% confidence intervals (CIs) were calculated using conditional logistic regression models. Results Regular users of mobile phones were not statistically significantly more likely to have been diagnosed with brain tumors compared with nonusers (OR = 1.36; 95% CI = 0.92 to 2.02). Children who started to use mobile phones at least 5 years ago were not at increased risk compared with those who had never regularly used mobile phones (OR = 1.26, 95% CI = 0.70 to 2.28). In a subset of study participants for whom operator recorded data were available, brain tumor risk was related to the time elapsed since the mobile phone subscription was started but not to amount of use. No increased risk of brain tumors was observed for brain areas receiving the highest amount of exposure. Conclusion The absence of an exposure-response relationship either in terms of the amount of mobile phone use or by localization of the brain tumor argues against a causal association.

Increased body fat is independently and negatively related with cardiorespiratory fitness levels in children and adolescents with normal weight.

Body mass index (BMI) is related with cardiorespiratory fitness (CRF), but less is known regarding the combined relationships between BMI and body fat (BF) on CRF. Cross-sectional study included 2361 girls and 2328 boys aged 10–18 years living in the area of Lisbon, Portugal. BMI was calculated by measuring height and weight, and obesity was assessed by international criteria. BF was assessed by bioimpedance. CRF was assessed by the 20-m shuttle run and the participants were classified as normal-to-high or low-CRF level according to Fitness gram criterion-referenced standards. The prevalence of low CRF was 47 and 39% in girls and boys, respectively. The corresponding values for the prevalence of obesity were 4.8 and 5.6% (not significant) and of excess BF of 12.1 and 25.1% (P <0.001), respectively. In both sexes, BMI and BF were inversely related with CRF: r = – 0.53 and – 0.45 for BMI and % BF, respectively, in boys and the corresponding values in girls were – 0.50 and – 0.33 (all P <0.01). When compared with a participant with normal BMI and BF, the odds ratios (95% confidence interval) for low CRF were 1.94 (1.46–2.58) for a participant with normal BMI and high BF, and 6.19 (5.02–7.63) for a participant with high BMI and high BF. The prevalence of low-CRF levels is high in Portuguese youths. BF negatively influences CRF levels among children/adolescents with normal BMI.

Reactivity to accelerometer measurement of children and adolescents.

PURPOSE: Awareness of being monitored can influence participants' habitual physical activity (PA) behavior. This reactivity effect may threaten the validity of PA assessment. Reports on reactivity when measuring the PA of children and adolescents have been inconsistent. The aim of this study was to investigate whether PA outcomes measured by accelerometer devices differ from measurement day to measurement day and whether the day of the week and the day on which measurement started influence these differences. METHODS: Accelerometer data (counts per minute [cpm]) of children and adolescents (n = 2081) pooled from eight studies in Switzerland with at least 10 h of daily valid recording were investigated for effects of measurement day, day of the week, and start day using mixed linear regression. RESULTS: The first measurement day was the most active day. Counts per minute were significantly higher than on the second to the sixth day, but not on the seventh day. Differences in the age-adjusted means between the first and consecutive days ranged from 23 to 45 cpm (3.6%-7.1%). In preschoolchildren, the differences almost reached 10%. The start day significantly influenced PA outcome measures. CONCLUSIONS: Reactivity to accelerometer measurement of PA is likely to be present to an extent of approximately 5% on the first day and may introduce a relevant bias to accelerometer-based studies. In preschoolchildren, the effects are larger than those in elementary and secondary schoolchildren. As the day of the week and the start day significantly influence PA estimates, researchers should plan for at least one familiarization day in school-age children and randomly assign start days.

Home Safety Checklist for Families with Young Children, 2011

This safety checklist is designed to help you protect your children and everyone else in the family, from unintentional injuries. It is designed to be an easy, room-by-room survey that will quickly point out possible dangers. When you find a hazardous situation, change it – NOW!! Of course, no checklist will identify all the possible dangers, so use this process to look for other hazards. After you have read through the listed items for a room take a few minutes to look at the room from the view-point of a child.

Youth Leadership Forum for Students with Disabilities, July 10-July 15, 2011

Five day leadership training program for 10th, 11th and 12th grade high school students with disabilities. Model program sponsored by the U.S Department of Labor Office National Collaborative on Workforce and Disability and developed locally by a collaboration of state and private agencies.

Youth Leadership Forum for Students with Disabilities Responsibilities of Primary Staff Volunteers, July 2011

Adults who can facilitate small group sessions. As a team they will be assigned to one of three small groups to assist students with completion of leadership exercises, facilitate small group discussions and help students develop their personal leadership plan. Responsibilities also include providing supervision, support and guidance to student delegates.

Obesity in Switzerland: a critical assessment of prevalence in children and adults.

The objective was to analyze the situation in Switzerland regarding the prevalence of overweight or obesity in children, adolescents and adults. The data were compared with France, an adjacent much larger country. The results showed that there is a definitive lack of objective information in Switzerland on the prevalence of obesity at different ages. As in other European studies, the fact that many national surveys are classically based on subject interviews (self-reported weights and heights rather than measured values) implies that the overweight/obesity prevalence is largely underestimated in adulthood. For example, in a recent Swiss epidemiological study, the prevalence of obesity (BMI greater than 30 kg/m(2)) averaged 6-7% in young men and women (25-34 y), the prevalence being underestimated by a factor of two to three when body weight was self-reported rather than measured. This phenomenon has already been observed in previous European studies. It is concluded that National Surveys based on telephone interviews generally produce biased obesity prevalence results, although the direction of the changes in prevalence of obesity and its evolution with repeated surveys using strict standardized methodology may be evaluated correctly. Therefore, these surveys should be complemented by large-scale epidemiological studies (based on measured anthropomeric variables rather than declared) covering the different linguistic areas of Switzerland. An epidemiological body weight (BMI) monitoring surveillance system, using a harmonized methodology among European countries, would help to accurately assess differences in obesity prevalence across Europe without methodological bias. It will permit monitoring of the dynamic evolution of obesity prevalence as well as the development of appropriate strategies (taking into account the specificity of each country) for obesity prevention and treatment.