德国幼儿园的健康促进 - - 探索性,集群随机化混合方法的设计和方法 KNEIPP-KITA巴伐利亚研究
Miriam Ortiz1, Christine Bernardi2, Christine Welker3
1Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Frontiers in medicine
|June 13, 2025
概括
该KNEIPP-KITA研究评估了德国幼儿园的Kneipp健康概念 (KHC),显示了其改善儿童健康和福祉的潜力. 这项研究为未来的儿童预防策略提供了见解.
科学领域:
- 儿科 儿科 儿科
- 公共卫生 公共卫生
- 促进健康 促进健康
背景情况:
- 克尼普健康概念 (KHC) 整合了体力活动,营养,草药,心理健康和水疗.
- 在德国和国际范围内,KHC已在500多所幼儿园实施.
- 该KNEIPP-KITA研究评估了KHC对巴伐利亚幼儿园的儿童,家长和工作人员的影响.
研究的目的:
- 评估KHC对健康和福祉的短期和中期影响.
- 探索在幼儿园环境中实施KHC的障碍和促进因素.
- 为未来的干预研究和儿童预防策略提供信息.
主要方法:
- 探索性,集群随机化,匹配对,双臂控制,混合方法研究.
- 10个幼儿园被分配到KHC干预组或对照组.
- 使用问卷和定性访谈进行24个月的随访.
主要成果:
- 数据分析正在进行中,重点关注健康状况,意识,行为,家庭健康和生活质量.
- 定性数据将确定实施的挑战和成功.
- 结果将指导可持续的KHC实施和未来的研究.
结论:
- 这项研究旨在提供证据,证明KHC在幼儿环境中的有效性.
- 研究结果将有助于制定和评估有效的儿童预防策略.
- 这项研究支持在幼儿园中可持续整合整体健康概念.
相关概念视频
Study Designs in Epidemiology
193
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
193
Group Design
8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
Study Design in Statistics
7.9K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
7.9K
Experimental Designs
11.2K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
11.2K
Randomized Experiments
6.8K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
6.8K
What is an Experiment?
10.6K
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
10.6K


