112 research outputs found

    Risks of pregnancy and birth in obese primiparous women: an analysis of German perinatal statistics

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    Purpose: To compare risks of pregnancy and birth in obese (body mass index, BMI≥30) and normal weight women (BMI 18.5-24.99) giving birth to their first child. Methods: We analysed data of 243,571 pregnancies in primiparous women from the German perinatal statistics of 1998-2000. We calculated odds ratios (ORs) with 95% confidence intervals (CIs) for selected pregnancy and birth risks. ORs were adjusted for the confounding factors age, smoking status, single mother status, and maternal education. Results: Obesity during pregnancy is common in primiparous women (n=19,130; 7.9% of all cases) and it is significantly associated with a number of risks of pregnancy and birth, including diabetes [OR 3.71 (95% CI 2.93; 4.71); p<0.001], hypertension [OR 8.44 (7.91; 9.00); p<0.001], preecalmpsia/eclampsia [OR 6.72 (6.30; 7.17); p<0.001], intraamniotic infection [OR 2.33 (2.05; 2.64); p<0.001], birth weight ≥4,000g [OR 2.16 (2.05; 2.28); p<0.001], and an increased rate of Caesarean section [OR 2.23 (2.15; 2.30); p<0.001]. Some risks were less frequent in the obese such as cervical incompetence [OR 0.55 (0.48; 0.63); p<0.001] and preterm labour [OR 0.47 (0.43; 0.51); p<0.001]. Conclusions: Obesity during pregnancy is an important clinical problem in primiparous women because it is common and it is associated with a number of risks of pregnancy and birth. Because of these increased risks, obese women need special attention clinically during the course of their first pregnancy. Weight reduction before the first pregnancy is generally indicated in obese women to prevent the above-mentioned complications of pregnancy and birt

    Risks of pregnancy and birth in obese primiparous women: an analysis of German perinatal statistics

    Get PDF
    PURPOSE: To compare risks of pregnancy and birth in obese (body mass index, BMI ≥ 30) and normal weight women (BMI 18.5–24.99) giving birth to their first child. METHODS: We analysed data of 243,571 pregnancies in primiparous women from the German perinatal statistics of 1998–2000. We calculated odds ratios (ORs) with 95% confidence intervals (CIs) for selected pregnancy and birth risks. ORs were adjusted for the confounding factors age, smoking status, single mother status, and maternal education. RESULTS: Obesity during pregnancy is common in primiparous women (n = 19,130; 7.9% of all cases) and it is significantly associated with a number of risks of pregnancy and birth, including diabetes [OR 3.71 (95% CI 2.93; 4.71); p &lt; 0.001], hypertension [OR 8.44 (7.91; 9.00); p &lt; 0.001], preecalmpsia/eclampsia [OR 6.72 (6.30; 7.17); p &lt; 0.001], intraamniotic infection [OR 2.33 (2.05; 2.64); p &lt; 0.001], birth weight ≥4,000 g [OR 2.16 (2.05; 2.28); p &lt; 0.001], and an increased rate of Caesarean section [OR 2.23 (2.15; 2.30); p &lt; 0.001]. Some risks were less frequent in the obese such as cervical incompetence [OR 0.55 (0.48; 0.63); p &lt; 0.001] and preterm labour [OR 0.47 (0.43; 0.51); p &lt; 0.001]. CONCLUSIONS: Obesity during pregnancy is an important clinical problem in primiparous women because it is common and it is associated with a number of risks of pregnancy and birth. Because of these increased risks, obese women need special attention clinically during the course of their first pregnancy. Weight reduction before the first pregnancy is generally indicated in obese women to prevent the above-mentioned complications of pregnancy and birth

    Community engagement and data quality: best practices and lessons learned from a citizen science project on birdsong

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    Citizen Science (CS) is a research approach that has become popular in recent years and offers innovative potential for dialect research in ornithology. As the scepticism about CS data is still widespread, we analysed the development of a 3-year CS project based on the song of the Common Nightingale (Luscinia megarhynchos) to share best practices and lessons learned. We focused on the data scope, individual engagement, spatial distribution and species misidentifications from recordings generated before (2018, 2019) and during the COVID-19 outbreak (2020) with a smartphone using the ‘Naturblick’ app. The number of nightingale song recordings and individual engagement increased steadily and peaked in the season during the pandemic. 13,991 nightingale song recordings were generated by anonymous (64%) and non-anonymous participants (36%). As the project developed, the spatial distribution of recordings expanded (from Berlin based to nationwide). The rates of species misidentifications were low, decreased in the course of the project (10–1%) and were mainly affected by vocal similarities with other bird species. This study further showed that community engagement and data quality were not directly affected by dissemination activities, but that the former was influenced by external factors and the latter benefited from the app. We conclude that CS projects using smartphone apps with an integrated pattern recognition algorithm are well suited to support bioacoustic research in ornithology. Based on our findings, we recommend setting up CS projects over the long term to build an engaged community which generates high data quality for robust scientific conclusions.Gesellschaftliches Engagement und Datenqualität: Bewährte Praktiken und Erfahrungen aus einem bürgerwissenschaftlichen Projekt zum Vogelgesang Citizen Science (CS) ist eine Forschungsmethode, die in den letzten Jahren an Bedeutung gewonnen hat und innovatives Potenzial für die Dialektforschung in der Ornithologie bietet. Da die Vorbehalte gegenüber CS-Daten immer noch weit verbreitet sind, haben wir die Entwicklung eines dreijährigen CS-Projekts zum Gesang der Nachtigall (Luscinia megarhynchos) analysiert, um bewährte Praktiken und gewonnene Erfahrungen darzustellen. Wir fokussierten uns auf den Datenumfang, das individuelle Engagement von Teilnehmenden, die räumliche Verteilung und die Fehlbestimmungen von Arten aus Aufnahmen, die vor (2018, 2019) und während des COVID-19-Ausbruchs (2020) mit einem Smartphone unter Verwendung der "Naturblick" App erstellt wurden. Die Anzahl der Aufnahmen von Nachtigallgesängen und das individuelle Engagement stiegen stetig an und erreichten ihren Höhepunkt in der Saison während der Pandemie. 13.991 Aufnahmen von Nachtigallgesängen wurden von anonymen (64%) und nicht-anonymen Teilnehmenden (36%) erstellt. Im Laufe des Projekts weitete sich die räumliche Verteilung der Aufnahmen aus (von Berlin auf bundesweit). Die Rate der Fehlbestimmungen war gering, ging im Laufe des Projekts zurück (von 10% auf 1%) und wurde hauptsächlich von gesanglichen Ähnlichkeiten mit anderen Vogelarten beeinflusst. Unsere Studie zeigte außerdem, dass das gesellschaftliche Engagement und die Datenqualität nicht direkt von den durchgeführten Disseminationsaktivitäten beeinflusst wurden, sondern dass erstere von externen Faktoren abhingen und letztere von der App profitierte. Wir schließen daraus, dass CS-Projekte, die Smartphone-Apps mit einem integrierten Mustererkennungsalgorithmus verwenden, gut geeignet sind, um die bioakustische Forschung in der Ornithologie zu unterstützen. Auf der Grundlage unserer Ergebnisse empfehlen wir, CS-Projekte langfristig zu etablieren, um eine aktive Teilnehmergemeinschaft (Community) aufzubauen, die qualitativ hochwertige Daten für fundierte wissenschaftliche Schlussfolgerungen generiert

    Investigation of the association of Apgar score with maternal socio-economic and biological factors: an analysis of German perinatal statistics

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    PURPOSE: To examine the relationship of 5-min Apgar score with maternal socio-economic and biological factors. METHODS: We analyzed data from 465,964 singleton pregnancies (37–41 weeks’ gestation) from the German perinatal statistics of 1998–2000. Using a logistic regression model we analyzed the incidence of low (0–6) 5-min Apgar scores in relation to these maternal factors: body mass index (BMI), age, previous live births, country of origin, occupation, single mother status, working during pregnancy, and smoking. RESULTS: A low Apgar score was more common in overweight [adjusted odds ratio (OR) 1.24; 95% confidence interval (CI) 1.10–1.40; P &lt; 0.001] and obese [OR 1.92 (95% CI 1.67–2.20); P &lt; 0.001] compared to normal weight women. A low Apgar score was also more common for women aged &gt;35 years compared to those aged 20–35 years [OR 1.35 (95% CI 1.16–1.58); P &lt; 0.001]. Furthermore, odds of a low Apgar score were higher for women with no previous live births compared to those with one or more previous live births [OR 1.52 (95% CI 1.37–1.70); P &lt; 0.001]. Socio-economic factors did not convincingly influence Apgar scores. CONCLUSIONS: There was an influence of the biological maternal factors age, BMI, and parity on the 5-min Apgar score. There was no convincing effect of socio-economic factors on Apgar score in our study population. Possible reasons for this are discussed
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