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1.
Eur Child Adolesc Psychiatry ; 27(3): 319-328, 2018 Mar.
Article in English | MEDLINE | ID: mdl-28942492

ABSTRACT

Anxiety and depressive symptoms have adverse effects on children's development. The present study investigates the associations of socioeconomic factors as well as maternal emotional health with children's emotional health status. The data were collected between 2011 and 2015 in the LIFE Child study, a population-based cohort study in Leipzig, Germany. The emotional health status of 1093 children (2.5-11.9 years old) was investigated using the subscale 'emotional problems' of the Strengths and Difficulties Questionnaire. Associations of maternal emotional health, family status, and socioeconomic status (SES) with the emotional health status of children were estimated via regression analyses. 21.13% of the participating children were assigned to the 'risk' group for emotional problems. The results furthermore revealed that children of mothers reporting more depressive symptoms, children living in single-parent families, and children of families with lower SES scored higher in the emotional problems scale. When considering the different indicators of SES (parental education, occupational status, and monthly net income) separately, only income showed significant associations with children's emotional health status. The prevalence of emotional problems in children in Leipzig, a city in East Germany, appears to be higher than the previously reported German average. Maternal depressive symptoms, single-parent families, lower SES, and especially lower income can be seen as risk factors for children's emotional health.


Subject(s)
Child Health/economics , Child , Child, Preschool , Cohort Studies , Emotions , Female , Humans , Male , Protective Factors , Risk Factors , Social Class
2.
Dtsch Med Wochenschr ; 142(8): e42-e50, 2017 Apr.
Article in German | MEDLINE | ID: mdl-28431439

ABSTRACT

Background For several years the German healthy child clinics program has been a highly appreciated preventive measure and is subject to constant development. However, attendance depends on the families' sociodemographic situation. Findings are documented in a medical checkup booklet (the so-called Gelbes Heft). Currently, there is no procedure to use the data collected for epidemiological purposes nor to evaluate the pediatric prevention measures in Germany. Methods Between 2011 and 2016, we recruited 3480 study participants for our population-based cohort study LIFE Child in Leipzig. 90.6 % submitted their check-up booklets which were subsequently scanned, the data was digitalized and transmitted to a computerized form. Furthermore, data on social status (so-called Winkler-Index) were collected for each family using a structured questionnaire. The study population consisted of the families' oldest child for whom both data sets were available. Results The transmission of data from the check-up booklets was time-consuming and cost-intensive due to large datasets, uncoded diagnoses as well as the necessity of trained employees for transferring often illegible handwriting. Early diagnostic tests for children enjoy a high level of acceptance among all social classes. With increasing age, attendance rate decreases gradually. Only 83 % of the population with a lower social status attend the U9 test. The documentation of diagnoses in the check-up booklets was implausible because the frequency fluctuated heavily between the different check-up time points. With only less than 2 %, the documentation of psychosocial difficulties in a child was particularly surprising Conclusion It is not possible to draw conclusions regarding the prevalence of target diseases from the frequency of documented findings in the check-up booklets. In order to make the data both comparable and evaluable, documentation must be digitalized in the future.


Subject(s)
Ambulatory Care Facilities , Child Health Services , Patient Acceptance of Health Care , Pediatrics , Preventive Medicine , Child , Cohort Studies , Databases, Factual , Family , Germany/epidemiology , Humans , Social Class , Surveys and Questionnaires
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