55 research outputs found

    Fetale Alkoholspektrumstörungen – Diagnose, neuropsychologische Testung und symptomorientierte Förderung

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    Laut den aktuellen Studien zur Gesundheit in Deutschland (GEDA) haben knapp 20 % der schwangeren Frauen einen „moderaten Alkoholkonsum“ und knapp 8 % einen riskanten Alkoholkonsum. 12 % der Schwangeren geben ein Rauschtrinken (≄ 5 GetrĂ€nke pro Gelegenheit) seltener als einmal pro Monat, knapp 4 % jeden Monat und 0.1 % mindestens jede Woche an. ZurĂŒckhaltende, strenge SchĂ€tzungen ergeben, dass ca. 1 % aller Kinder intrauterin durch Alkohol geschĂ€digt werden. Extrapoliert aus dieser SchĂ€tzung bedeutet dies, dass in Deutschland ca. 0.8 Millionen Menschen, davon 130 000 Kinder, mit einer Fetalen Alkoholspektrumstörung (FASD) leben. Die Mehrzahl der betroffenen Kinder werden nicht oder erst spĂ€t richtig diagnostiziert. Professionelle Helfer im Gesundheits- und Sozialsystem sind bislang ĂŒber die Symptome und die notwendige Diagnostik der FASD nur unzureichend informiert. Ziel dieses Übersichtsartikels ist die ErlĂ€uterung der Ă€rztlichen und psychologischen diagnostischen Möglichkeiten und Notwendigkeiten bei Kindern und Jugendlichen mit FASD. Eine frĂŒhzeitige Diagnose und ein konstantes förderndes und gewaltfreies Umfeld sind als wichtigste protektive Faktoren fĂŒr den Langzeit-Outcome von Menschen mit FASD identifiziert worden.According to the GEDA study (Study of Health in Germany), 20 % of all pregnant women show moderate and 8 % risky alcohol consumption. Of the pregnant women, 12 % engage in binge drinking (≄ 5 drinks per occasion less than once per month, 4 % every month and 0.1 % at least every week). According to conservative estimates, approximately 1 % of all children are affected by intrauterine exposure to alcohol. In total, approximately 800,000 million people, thereof 130,000 children, suffer from a fetal alcohol spectrum disorder in Germany. Many of the affected children, however, remain undiagnosed or are properly diagnosed only very late. To date, professionals in the healthcare and social system have not been sufficiently informed about the symptoms and the necessary diagnosis. This review illustrates the medical and psychological possibilities and necessities regarding children and adolescents with FASD. Early diagnosis and living in a supportive and violence-free environment are the most important protective factors for the long-term outcome of patients with FASD

    Fetale Alkoholspektrumstörungen – Diagnose, neuropsychologische Testung und symptomorientierte Förderung

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    Laut den aktuellen Studien zur Gesundheit in Deutschland (GEDA) haben knapp 20 % der schwangeren Frauen einen „moderaten Alkoholkonsum“ und knapp 8 % einen riskanten Alkoholkonsum. 12 % der Schwangeren geben ein Rauschtrinken (≄ 5 GetrĂ€nke pro Gelegenheit) seltener als einmal pro Monat, knapp 4 % jeden Monat und 0.1 % mindestens jede Woche an. ZurĂŒckhaltende, strenge SchĂ€tzungen ergeben, dass ca. 1 % aller Kinder intrauterin durch Alkohol geschĂ€digt werden. Extrapoliert aus dieser SchĂ€tzung bedeutet dies, dass in Deutschland ca. 0.8 Millionen Menschen, davon 130 000 Kinder, mit einer Fetalen Alkoholspektrumstörung (FASD) leben. Die Mehrzahl der betroffenen Kinder werden nicht oder erst spĂ€t richtig diagnostiziert. Professionelle Helfer im Gesundheits- und Sozialsystem sind bislang ĂŒber die Symptome und die notwendige Diagnostik der FASD nur unzureichend informiert. Ziel dieses Übersichtsartikels ist die ErlĂ€uterung der Ă€rztlichen und psychologischen diagnostischen Möglichkeiten und Notwendigkeiten bei Kindern und Jugendlichen mit FASD. Eine frĂŒhzeitige Diagnose und ein konstantes förderndes und gewaltfreies Umfeld sind als wichtigste protektive Faktoren fĂŒr den Langzeit-Outcome von Menschen mit FASD identifiziert worden.According to the GEDA study (Study of Health in Germany), 20 % of all pregnant women show moderate and 8 % risky alcohol consumption. Of the pregnant women, 12 % engage in binge drinking (≄ 5 drinks per occasion less than once per month, 4 % every month and 0.1 % at least every week). According to conservative estimates, approximately 1 % of all children are affected by intrauterine exposure to alcohol. In total, approximately 800,000 million people, thereof 130,000 children, suffer from a fetal alcohol spectrum disorder in Germany. Many of the affected children, however, remain undiagnosed or are properly diagnosed only very late. To date, professionals in the healthcare and social system have not been sufficiently informed about the symptoms and the necessary diagnosis. This review illustrates the medical and psychological possibilities and necessities regarding children and adolescents with FASD. Early diagnosis and living in a supportive and violence-free environment are the most important protective factors for the long-term outcome of patients with FASD

    Vertigo and dizziness in adolescents: Risk factors and their population attributable risk

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    Objectives: To assess potential risk factors for vertigo and dizziness in adolescents and to evaluate their variability by different vertigo types. The role of possible risk factors for vertigo and dizziness in adolescents and their population relevance needs to be addressed in order to design preventive strategies. Study design: The study population consisted of 1482 school-children between the age of 12 and 19 years, who were instructed to fill out a questionnaire on different vertigo types and related potential risk factors. The questionnaire specifically asked for any vertigo, spinning vertigo, swaying vertigo, orthostatic dizziness, and unspecified dizziness. Further a wide range of potential risk factors were addressed including gender, stress, muscular pain in the neck and shoulder region, sleep duration, migraine, coffee and alcohol consumption, physical activity and smoking. Results: Gender, stress, muscular pain in the neck and shoulder region, sleep duration and migraine were identified as independent risk factors following mutual adjustment: The relative risk was 1.17 [1.10 - 1.25] for female sex, 1.07 [1.02 - 1.13] for stress, 1.24 [1.17 - 1.32] for muscular pain, and 1.09 [1.03 - 1.14] for migraine. The population attributable risk explained by these risk factors was 26%, with muscular pain, stress, and migraine accounting for 11%, 4%, and 3% respectively. Conclusion: Several established risk factors in adults were also identified in adolescents. Risk factors amenable to prevention accounted for 17% of the total population risk. Therefore, interventions targeting these risk factors may be warranted

    Filling the Gaps in a Fragmented Health Care System:Development of the Health and Welfare Information Portal (ZWIP)

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    Background: Current health care systems are not optimally designed to meet the needs of our aging populations. First, the fragmentation of care often results in discontinuity of care that can undermine the quality of care provided. Second, patient involvement in care decisions is not sufficiently facilitated. Objective: To describe the development and the content of a program aimed at: (1) facilitating self-management and shared decision making by frail older people and informal caregivers, and (2) reducing fragmentation of care by improving collaboration among professionals involved in the care of frail older people through a combined multidisciplinary electronic health record (EHR) and personal health record (PHR). Methods: We used intervention mapping to systematically develop our program in six consecutive steps. Throughout this development, the target populations (ie, professionals, frail older people, and informal caregivers) were involved extensively through their participation in semi-structured interviews and working groups. Results: We developed the Health and Welfare Information Portal (ZWIP), a personal, Internet-based conference table for multidisciplinary communication and information exchange for frail older people, their informal caregivers, and professionals. Further, we selected and developed methods for implementation of the program, which included an interdisciplinary educational course for professionals involved in the care of frail older people, and planned the evaluation of the program. Conclusions: This paper describes the successful development and the content of the ZWIP as well as the strategies developed for its implementation. Throughout the development, representatives of future users were involved extensively. Future studies will establish the effects of the ZWIP on self-management and shared decision making by frail older people as well as on collaboration among the professionals involved. (JMIR Res Protoc 2012;1(2):e10) doi:10.2196/resprot.194

    Parental Perceptions of Children’s Weight Status in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative: COSI 2015/2017

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    Introduction: Parents can act as important agents of change and support for healthy childhood growth and development. Studies have found that parents may not be able to accurately perceive their child’s weight status. The purpose of this study was to measure parental perceptions of their child’s weight status and to identify predictors of potential parental misperceptions. Methods: We used data from the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative and 22 countries. Parents were asked to identify their perceptions of their children’s weight status as “underweight,” “normal weight,” “a little overweight,” or “extremely overweight.” We categorized children’s (6–9 years; n = 124,296) body mass index (BMI) as BMI-for-age Z-scores based on the 2007 WHO-recommended growth references. For each country included in the analysis and pooled estimates (country level), we calculated the distribution of children according to the WHO weight status classification, distribution by parental perception of child’s weight status, percentages of accurate, overestimating, or underestimating perceptions, misclassification levels, and predictors of parental misperceptions using a multilevel logistic regression analysis that included only children with overweight (including obesity). Statistical analyses were performed using Stata version 15 1. Results: Overall, 64.1% of parents categorized their child’s weight status accurately relative to the WHO growth charts. However, parents were more likely to underestimate their child’s weight if the child had overweight (82.3%) or obesity (93.8%). Parents were more likely to underestimate their child’s weight if the child was male (adjusted OR [adjOR]: 1.41; 95% confidence intervals [CI]: 1.28–1.55); the parent had a lower educational level (adjOR: 1.41; 95% CI: 1.26–1.57); the father was asked rather than the mother (adjOR: 1.14; 95% CI: 0.98–1.33); and the family lived in a rural area (adjOR: 1.10; 95% CI: 0.99–1.24). Overall, parents’ BMI was not strongly associated with the underestimation of children’s weight status, but there was a stronger association in some countries. Discussion/Conclusion: Our study supplements the current literature on factors that influence parental perceptions of their child’s weight status. Public health interventions aimed at promoting healthy childhood growth and development should consider parents’ knowledge and perceptions, as well as the sociocultural contexts in which children and families live.The authors gratefully acknowledge support from a grant from the Russian Government in the context of the WHO European Office for the Prevention and Control of NCDs. Data collection in the countries was made possible through funding by: Albania: World Health Organization through the Joint Programme on Children, Food Security and Nutrition “Reducing Malnutrition in Children,” funded by the Millennium Development Goals Achievement Fund, and the Institute of Public Health; Bulgaria: Ministry of Health, National Center of Public Health and Analyses, World Health Organization Regional Office for Europe; Croatia: Ministry of Health, Croatian Institute of Public Health and World Health Organization Regional Office for Europe; Czechia: Grants AZV MZČR 17-31670 A and MZČR – RVO EÚ 00023761; Denmark: Danish Ministry of Health; France: French Public Health Agency; Georgia: World Health Organization; Ireland: Health Service Executive; Italy: Ministry of Health; Istituto Superiore di sanità (National Institute of Health); Kazakhstan: Ministry of Health of the Republic of Kazakhstan and World Health Organization Country Office; Latvia: n/a; Lithuania: Science Foundation of Lithuanian University of Health Sciences and Lithuanian Science Council and World Health Organization; Malta: Ministry of Health; Montenegro: World Health Organization and Institute of Public Health of Montenegro; Poland: National Health Programme, Ministry of Health; Portugal: Ministry of Health Institutions, the National Institute of Health, Directorate General of Health, Regional Health Directorates and the kind technical support of Center for Studies and Research on Social Dynamics and Health (CEIDSS); Romania: Ministry of Health; Russia (Moscow): n/a; San Marino: Health Ministry; Educational Ministry; Social Security Institute; the Health Authority; Spain: Spanish Agency for Food Safety and Nutrition (AESAN); Tajikistan: World Health Organization Country Office in Tajikistan and Ministry of Health and Social Protection; and Turkmenistan: World Health Organization Country Office in Turkmenistan and Ministry of Health. The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.info:eu-repo/semantics/publishedVersio

    Thinness, overweight, and obesity in 6‐ to 9‐year‐old children from 36 countries: The World Health Organization European Childhood Obesity Surveillance Initiative - COSI 2015-2017

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    In 2015-2017, the fourth round of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was conducted in 36 countries. National representative samples of children aged 6–9 (203,323) were measured by trained staff, with similar equipment and using a standardized protocol. This paper assesses the children's body weight status and compares the burden of childhood overweight, obesity, and thinness in Northern, Eastern, and Southern Europe and Central Asia. The results show great geographic variability in height, weight, and body mass index. On average, the children of Northern Europe were the tallest, those of Southern Europe the heaviest, and the children living in Central Asia the lightest and the shortest. Overall, 28.7% of boys and 26.5% of girls were overweight (including obesity) and 2.5% and 1.9%, respectively, were thin according to the WHO definitions. The prevalence of obesity varied from 1.8% of boys and 1.1% of girls in Tajikistan to 21.5% and 19.2%, respectively, in Cyprus, and tended to be higher for boys than for girls. Levels of thinness, stunting, and underweight were relatively low, except in Eastern Europe (for thinness) and in Central Asia. Despite the efforts to halt it, unhealthy weight status is still an important problem in the WHO European Region.The authors gratefully acknowledge support from a grant from the Russian Government in the context of the WHO European Office for the Prevention and Control of NCDs. Data collection in the countries was made possible through funding from the following: Albania: WHO through the Joint Programme on Children, Food Security and Nutrition “Reducing Malnutrition in Children,” funded by the Millennium Development Goals Achievement Fund, and the Institute of Public Health; Austria: Federal Ministry of Social Affairs, Health, Care and Consumer Protection, Republic of Austria; Bulgaria: Ministry of Health, National Center of Public Health and Analyses, WHO Regional Office for Europe; Croatia: Ministry of Health, Croatian Institute of Public Health and WHO Regional Office for Europe; Czechia: Ministry of Health of the Czech Republic, grants AZV MZČR 17-31670 A and MZČR – RVO EÚ 00023761; Cyprus: not available; Denmark: Danish Ministry of Health; Estonia: Ministry of Social Affairs, Ministry of Education and Research (IUT 42-2), WHO Country Office, and National Institute for Health Development; Finland: Finnish Institute for Health and Welfare; France: SantĂ© publique France, the French Agency for Public Health; Georgia: WHO; Greece: International Hellenic University and Hellenic Medical Association for Obesity; Hungary: WHO Country Office for Hungary; Ireland: Health Service Executive; Italy: Ministry of Health and Italian National Institute of Health; Kazakhstan: Ministry of Health of the Republic of Kazakhstan and WHO Country Office; Kyrgyzstan: World Health Organization; Latvia: Ministry of Health, Centre for Disease Prevention and Control; Lithuania: Science Foundation of Lithuanian University of Health Sciences and Lithuanian Science Council and WHO; Malta: Ministry of Health; Montenegro: WHO and Institute of Public Health of Montenegro; North Macedonia: funded by the Government of North Macedonia through National Annual Program of Public Health and implemented by the Institute of Public Health and Centers of Public Health in the country. WHO country office provided support for training and data management; Norway: Ministry of Health and Norwegian Institute of Public Health; Poland: National Health Programme, Ministry of Health; Portugal: Ministry of Health Institutions, the National Institute of Health, Directorate General of Health, Regional Health Directorates and the kind technical support from the Center for Studies and Research on Social Dynamics and Health (CEIDSS); Romania: Ministry of Health; Russian Federation: WHO; San Marino: Health Ministry, Educational Ministry, Social Security Institute and Health Authority; Serbia: World Health Organization (Ref. File 2015-540940); Slovakia: Biennial Collaborative Agreement between WHO Regional Office for Europe and Ministry of Health SR; Slovenia: Ministry of Education, Science and Sport of the Republic of Slovenia within the SLOfit surveillance system; Spain: Spanish Agency for Food Safety and Nutrition (AESAN); Sweden: Public Health Agency of Sweden; Tajikistan: WHO Country Office in Tajikistan and Ministry of Health and Social Protection; Turkmenistan: WHO Country Office in Turkmenistan and Ministry of Health; Turkey: Turkish Ministry of Health and World Bank.info:eu-repo/semantics/publishedVersio

    Physical activity, screen time, and sleep duration of children aged 6-9 years in 25 countries:An analysis within the WHO european childhood obesity surveillance initiative (COSI) 2015-2017

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    BACKGROUND: Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing. OBJECTIVES: This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6-9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI). METHOD: The fourth COSI data collection round was conducted in 2015-2017, using a standardized protocol that included a family form completed by parents with specific questions about their children's PA, screen time, and sleep duration. RESULTS: Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for >1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for 1 h/day, 8.2-85.6% were not members of a sport or dancing club, 17.7-94.0% walked or cycled to school each day, 32.3-80.0% engaged in screen time for <2 h/day, and 50.0-95.8% slept for 9-11 h/night. CONCLUSIONS: The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children
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