The second pregnancy has no effect in the incidence of macrosomia: a cross-sectional survey in two western Chinese regions

Abstract Background After the implementation of the universal two-child policy in China, the increase in parity has led to an increase in adverse pregnancy outcomes. The impact of one and two fetuses on the incidence of fetal macrosomia has not been fully confirmed in China. This study aimed to explore the differences in the incidence of fetal macrosomia in first and second pregnancies in Western China after the implementation of the universal two-child policy. Methods A total of 1598 pregnant women from three hospitals were investigated by means of a cross-sectional study from August 2017 to January 2018. Participants were recruited by convenience and divided into first and second pregnancy groups. These groups included 1094 primiparas and 504 women giving birth to their second child. Univariate and multivariate logistic regression analyses were performed to discuss the differences in the incidence of fetal macrosomia in first and second pregnancies. Results No significant difference was found in the incidence of macrosomia in the first pregnancy group (7.2%) and the second pregnancy group (7.1%). In the second-time pregnant mothers, no significant association was found between the macrosomia of the second child (5.5%) and that of the first child (4.7%). The multivariate logistic regression model showed that mothers older than 30 years are not likely to give birth to children with macrosomia (odds ratio (OR) 0.6, 95% confidence interval (CI) 0.4,0.9). Conclusions The incidence of macrosomia in Western China is might not be affected by the birth of the second child and is not increased by low parity.

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The second pregnancy has no effect in the incidence of macrosomia: A cross sectional survey in two western Chinese regions

10.21203/rs.2.15978/v1 ◽

2019 ◽

Author(s):

Li Luo ◽

Lianlian Wang ◽

Huan Zeng ◽

Feng Peng ◽

Zumin Shi ◽

...

Keyword(s):

Cross Sectional Study ◽

Western China ◽

Fetal Macrosomia ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Second Child ◽

First Child ◽

Significant Difference ◽

Adverse Pregnancy ◽

The Impact

Abstract After the implementation of the universal two-child policy in 2015 in China, the increase in parity has led to an increase in adverse pregnancy outcomes. The impact of parity on the incidence of fetal macrosomia has not been fully confirmed in China.This study aimed to explore the differences in the incidence of fetal macrosomia between first and second pregnancies in Western China. A total of 1598 pregnant women from three hospitals were investigated by means of a cross-sectional study from August 2017 to January 2018. Participants were recruited by a convenience sampling method and divided into first and second pregnancy groups. These groups included 1094 primiparas and 504 women giving birth to their second child. Univariate and multivariate logistic regression analyses were performed to discuss the differences in the incidence of fetal macrosomia in first and second pregnancies. No significant difference was found in the incidence of macrosomia in the first pregnancy group (7.2%) and the second pregnancy group (7.1%). In the second-time pregnant mothers, no significant association was found between the macrosomia of the second child (5.5%) and that of the first child (4.7%). In conclusion: the incidence of macrosomia in Western China is not affected by second childbirth, that is not affected by low parity. History of first child macrosomia was not a predictor of second child macrosomia.

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Prevalence and factors associated with postpartum depression during the COVID-19 pandemic among women in Guangzhou, China: a cross-sectional study

10.21203/rs.3.rs-27560/v2 ◽

2020 ◽

Author(s):

Peiqin Liang ◽

Yiding Wang ◽

Si Shi ◽

Yan Liu ◽

Ribo Xiong

Keyword(s):

Logistic Regression ◽

Postpartum Depression ◽

Depression Scale ◽

Cross Sectional Study ◽

Multivariate Logistic Regression Model ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Female Population ◽

The Impact

Abstract Background: The 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of COVID-19 pandemic on mental health among female population. Therefore, the study aims to investigate the prevalence of postpartum depression (PPD) and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic.Methods: A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6-12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD.Results: The prevalence of PPD among women at 6-12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures.Conclusions: The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also targeting disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.

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Prevalence and Factors Associated With Postpartum Depression During the Covid-19 Pandemic Among Women in Guangzhou, China: A Cross-sectional Study

10.21203/rs.3.rs-27560/v1 ◽

2020 ◽

Author(s):

Ribo Xiong ◽

Yan Liu ◽

Peiqin Liang ◽

Yiding Wang ◽

Si Shi

Keyword(s):

Logistic Regression ◽

Emotional Health ◽

Depression Scale ◽

Cross Sectional Study ◽

Multivariate Logistic Regression Model ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Female Population ◽

The Impact

Abstract Background: The 2019 coronavirus disease (COVID-19) epidemic is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of VOVID-19 pandemic on mental health among female population. This is especially pertinent with the emotional health vulnerability surrounding pregnancy and childbirth. Therefore, the study aims to investigate the prevalence of PPD and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic.Methods: A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6-12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD.Results: The prevalence of PPD among women at 6-12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures.Conclusions: The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also targeting disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.

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Prevalence and factors associated with postpartum depression during the COVID-19 pandemic among women in Guangzhou, China: a cross-sectional study

10.21203/rs.3.rs-27560/v3 ◽

2020 ◽

Author(s):

Peiqin Liang ◽

Yiding Wang ◽

Si Shi ◽

Yan Liu ◽

Ribo Xiong

Keyword(s):

Logistic Regression ◽

Postpartum Depression ◽

Depression Scale ◽

Cross Sectional Study ◽

Multivariate Logistic Regression Model ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Female Population ◽

The Impact

Abstract Background: The 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of COVID-19 pandemic on mental health among female population. Therefore, the study aims to investigate the prevalence of postpartum depression (PPD) and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic.Methods: A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6-12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD.Results: The prevalence of PPD among women at 6-12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures.Conclusions: The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also target disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.

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Prevalence and factors associated with postpartum depression during the COVID-19 pandemic among women in Guangzhou, China: a cross-sectional study

BMC Psychiatry ◽

10.1186/s12888-020-02969-3 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Peiqin Liang ◽

Yiding Wang ◽

Si Shi ◽

Yan Liu ◽

Ribo Xiong

Keyword(s):

Logistic Regression ◽

Postpartum Depression ◽

Depression Scale ◽

Cross Sectional Study ◽

Multivariate Logistic Regression Model ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Female Population ◽

The Impact

Abstract Background The 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of COVID-19 pandemic on mental health among female population. Therefore, the study aims to investigate the prevalence of postpartum depression (PPD) and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic. Methods A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6–12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD. Results The prevalence of PPD among women at 6–12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures. Conclusions The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also target disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.

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Prevalence and risk factors of depression and anxiety for inpatients with lung cancer in China: A hospital-based cross-sectional study

10.21203/rs.3.rs-1149458/v1 ◽

2022 ◽

Author(s):

Xueqian Wang ◽

Xuejiao Ma ◽

Mo Yang ◽

Yan Wang ◽

Yi Xie ◽

...

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Logistic Regression ◽

Risk Factor ◽

Univariate Analysis ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression Model ◽

Depression And Anxiety ◽

Multivariate Logistic Regression ◽

Cross Sectional

Abstract Background Lung cancer was often accompanied by depression and anxiety. Nowadays, most investigations for depression and anxiety were concentrated in western medical hospitals, while few related studies have been carried out in the tradition Chinese medicine (TCM) ward. It was necessary to understand the prevalence and risk factors of depression and anxiety in the inpatients with lung cancer in TCM hospital. Methods This study adopted cross-sectional research method, which enrolled a total of 222 inpatients with lung cancer in TCM hospital. PHQ-9 and GAD-7 scales were used to assess depression and anxiety for the inpatients, respectively. Demographic and clinical data were also collected. Statistical methods of the univariate analysis and the multivariate logistic regression model were used. Results The prevalence of depression and anxiety in the inpatients with lung cancer were 58.1% and 34.2%, respectively. Multivariate logistic regression analysis prompted that the common risk factor of depression and anxiety was the symptom of insomnia. Constipation and gender were the two anther risk factors of depression. Conclusion Depression and anxiety were common for the inpatients with lung cancer in TCM hospital. Gender, insomnia and constipation were risk factors for depression, and insomnia was risk factor for anxiety. Therefore, medical workers should pay close attention to the emotional changes of these high-risk patients and intervene the symptoms as early as possible.

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Factors associated with seeking post-abortion care among women in Guangzhou, China

10.21203/rs.2.16957/v1 ◽

2019 ◽

Author(s):

Hui Wang ◽

Yan Liu ◽

Ribo Xiong

Keyword(s):

Logistic Regression ◽

Associated Factors ◽

Health Care Facilities ◽

Multivariate Logistic Regression Model ◽

Utilization Rate ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Abortion Care ◽

Post Abortion Care ◽

Post Abortion

Abstract Background: Post-abortion care(PAC) service in China relies on integrating post-abortion family planning (PAFP) services into existing abortion services in hospital settings where the vast majority of induced abortion is performed. This study aims to assess post-abortion care (PAC) utilization and identify factors affecting PAC uptake among clients on the day of abortion in Guangzhou, China. Methods: A cross-sectional study was conducted involving a total of 423 abortion clients in the selected hospitals of Guangzhou From June to September, 2018. The anonymous, self-reported questionnaires regarding associated factors were administered to all participants. Multivariate logistic regression model was used to determine associated factors of PAC utilization. Results: The magnitude of PAC counseling before they leave the health care facilities was 42.1%. Multivariate logistic regression showed that unmarried women, women with local household registration, knowing fertility could return sooner after abortion and women themselves as the main decider on PAC use were significantly associated with PAC utilization. Conclusions: The utilization rate of PAC was low in Guangzhou, China. There’s an urgent need to improve the awareness of regular use of PAC and provide better access for migrants. Partners should be involved during counseling after obtaining women’s consent. Women empowerment through enhancing health education on own decision making in PAC utilization should also be strengthened.

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Nocebo-Prone Behavior Associated with SARS-CoV-2 Vaccine Hesitancy in Healthcare Workers

Vaccines ◽

10.3390/vaccines9101179 ◽

2021 ◽

Vol 9 (10) ◽

pp. 1179

Author(s):

Dimos D. Mitsikostas ◽

Konstantina Aravantinou-Fatorou ◽

Christina Deligianni ◽

Evrydiki Kravvariti ◽

Eleni Korompoki ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Healthcare Workers ◽

Logistic Regression Model ◽

Vaccine Hesitancy ◽

Multivariate Logistic Regression Model ◽

Multivariate Logistic Regression ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Independent Variables

Among healthcare workers (HCWs), SARS-CoV-2 vaccine hesitancy may be linked to a higher susceptibility to nocebo effects, i.e., adverse events (AEs) experienced after medical treatments due to negative expectations. To investigate this hypothesis a cross-sectional survey was performed with a self-completed questionnaire that included a tool (Q-No) for the identification of nocebo-prone individuals. A total of 1309 HCWs (67.2%women; 43.4% physicians; 28.4% nurses; 11·5% administrative staff; 16·6% other personnel) completed the questionnaires, among whom 237 (18.1%) had declined vaccination. Q-No scores were ≥15 in 325 participants (24.8%) suggesting nocebo-prone behavior. In a multivariate logistic regression model with Q-No score, age, gender, and occupation as independent variables, estimated odds ratios (ORs) of vaccination were 0.43 (i.e., less likely, p < 0.001) in participants with Q-No score ≥15 vs. Q-No score < 15, 0.58 in females vs. males (p = 0.013), and 4.7 (i.e., more likely) in physicians vs. other HCWs (p < 0.001), independent of age, which was not significantly associated with OR of vaccination. At least one adverse effect (AE) was reported by 67.5% of vaccinees, mostly local pain and flu-like symptoms. In a multivariate logistic regression model, with Q-No score, age, gender, and occupation as independent variables, estimated ORs of AE reporting were 2.0 in females vs. males (p < 0.001) and 1.47 in physicians vs. other HCWs (p = 0.017) independently of age and Q-No score, which were not significantly associated with OR of AE. These findings suggest that nocebo-prone behavior in HCWs is associated with SARS-CoV-2 vaccination hesitancy indicating a potential benefit of a campaign focused on nocebo-prone people.

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Early Referral to Nephrological Care and the Uptake of Peritoneal Dialysis. An Analysis of German Claims Data

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18168359 ◽

2021 ◽

Vol 18 (16) ◽

pp. 8359

Author(s):

Isabell Schellartz ◽

Sunita Mettang ◽

Arim Shukri ◽

Nadine Scholten ◽

Holger Pfaff ◽

...

Keyword(s):

Logistic Regression ◽

Peritoneal Dialysis ◽

Claims Data ◽

Multivariate Logistic Regression Model ◽

Symptomatic Therapy ◽

Multivariate Logistic Regression ◽

Early Referral ◽

Dialysis Treatment ◽

The Impact ◽

Nephrological Care

Background: Hemodialysis (HD) and peritoneal dialysis (PD) are medically equivalent alternatives for symptomatic therapy of end-stage renal disease (ESRD). An early referral (ER) of patients with chronic kidney disease (CKD) to a nephrological specialist is associated with a higher proportion of patients choosing PD. Germany historically shows a low PD uptake. This article is the first investigation into the impact of ER on the uptake of PD, using a large German claims database. Methods: Claims data of 4727 incident dialysis patients in 2015 and 2016 were analyzed. Accounting codes for nephrological care and dialysis modalities were identified. Their first documentation was defined as their first encounter with a nephrologist and their first dialysis treatment (HD or PD). ER was determined as receiving nephrological care at least six months before the first dialysis. A multivariate logistic regression model with adjusted odds ratios (AOR) investigates the impact of ER, outpatient dialysis start, age, comorbidities, and sex on the chance for PD. Results: Forty-three percent were referred to the nephrologist six months before their first dialysis (ER). Single tests, as well as the adjusted multivariate logistic regression, highlighted that ER significantly increases the chance for PD. In the multivariate model, the uptake of PD was associated with ER (AOR = 3.05; p < 0.001; 95% CI = 2.16–4.32), outpatient dialysis start (AOR = 0.71; p = 0.044; 95% CI = 0.51–0.99), younger age (AOR = 0.96; p < 0.001; 95% CI = 0.95–0.97), and fewer comorbidities (AOR = 0.85; p < 0.001; 95% CI = 0.44–1.58). Conclusions: ER of patients with CKD to a nephrologist increases PD uptake. It gives both nephrologists and patients enough time for patient education about different treatment options and can contribute to informed decisions about the dialysis treatment.

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The impact of early neuraminidase inhibitor therapy on clinical outcomes in patients hospitalised with influenza A-related pneumonia: a multicenter, retrospective study

10.21203/rs.2.20901/v3 ◽

2020 ◽

Author(s):

Liang Chen ◽

Xiudi Han ◽

YanLi Li ◽

Chunxiao Zhang ◽

Xiqian Xing

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Clinical Outcomes ◽

Influenza A ◽

Logistic Regression Model ◽

Neuraminidase Inhibitor ◽

Multivariate Logistic Regression Model ◽

Multivariate Logistic Regression ◽

Severe Influenza ◽

The Impact

Abstract Background Guidelines emphasize prompt antiviral treatment in severe influenza patients. Although nearly a 50% of severe influenza present with pneumonia, the effect of early (≤ 2 days after illness onset) neuraminidase inhibitor (NAI) use on the clinical outcomes of influenza A-related pneumonia (FluA-p) has rarely been assessed. Furthermore, data about the administration of NAIs in the real-world management of Flu-p in China are limited.Methods: Data of patients hospitalised with FluA-p from five teaching hospitals in China from 1 January 2013 to 31 December 2018 were reviewed retrospectively. The impact of early NAI therapy on the outcomes in FluA-p patients, and the indications of early NAI administration by clinicians were evaluated by logistic regression analysis.Results: In total, 693 FluA-p patients were included. Of these patients, 33.5% (232/693) were treated early. After adjusting for weighted propensity scores for treatment, systemic corticosteroid and antibiotic use, a multivariate logistic regression model showed that early NAI therapy was associated with decreased risk for invasive ventilation [odds ratio (OR) 0.511, 95% confidence interval (CI) 0.312–0.835, p = 0.007) and 30-day mortality (OR 0.533, 95% CI 0.210–0.807, p < 0.001) in FluA-p patients. A multivariate logistic regression model confirmed early NAI use (OR 0.415, 95% CI 0.195–0.858, p = 0.001) was a predictor for 30-day mortality in FluA-p patients and a positive rapid influenza diagnostic test was the only indication (OR 3.586, 95% CI 1.259–10.219, p < 0.001) related to the prescription of early NAI by clinicians.Conclusions: Early NAI therapy is associated with better outcomes in FluA-p patients. Improved education and training of clinicians on the guidelines of influenza are needed.

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