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

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.

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

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.

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

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.

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

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.

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

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Li Luo ◽  
Huan Zeng ◽  
Mao Zeng ◽  
Xueqing Liu ◽  
Xianglong Xu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Western China ◽  
Fetal Macrosomia ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Second Child ◽  
Child Policy ◽  
Significant Difference ◽  
The Impact

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.

scholarly journals Assessing the Impact of a Hilly Environment on Depressive Symptoms among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4520
Author(s):  
Takafumi Abe ◽  
Kenta Okuyama ◽  
Tsuyoshi Hamano ◽  
Miwako Takeda ◽  
Masayuki Yamasaki ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Rural Setting ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact ◽  
Community Dwelling Older Adults

Although some neighborhood environmental factors have been found to affect depressive symptoms, few studies have focused on the impact of living in a hilly environment, i.e., land slope, on depressive symptoms among rural older adults. This cross-sectional study aimed to investigate whether a land slope is associated with depressive symptoms among older adults living in rural areas. Data were collected from 935 participants, aged 65 years and older, who lived in Shimane prefecture, Japan. Depressive symptoms were assessed using the Zung Self-Rating Depression Scale (SDS) and defined on the basis of an SDS score ≥ 40. Land slopes within a 400 m network buffer were assessed using geographic information systems. Odds ratios (ORs) with 95% confidence intervals (CIs) of depressive symptoms were estimated using logistic regression. A total of 215 (23.0%) participants reported depressive symptoms. The land slope was positively associated with depressive symptoms (OR = 1.04; 95% CI = 1.01–1.08) after adjusting for all confounders. In a rural setting, living in a hillier environment was associated with depressive symptoms among community-dwelling older adults in Japan.

scholarly journals Unmet Healthcare Needs and Associated Factors in Rural and Suburban Vietnam: A Cross-Sectional Study

2020 ◽  
Vol 17 (17) ◽  
pp. 6320
Author(s):  
Ju Young Kim ◽  
Dae In Kim ◽  
Hwa Yeon Park ◽  
Yuliya Pak ◽  
Phap Ngoc Hoang Tran ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Associated Factors ◽  
Healthcare Providers ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Healthcare Needs ◽  
Unmet Healthcare Needs

The purpose of this study was to examine the current utilization of healthcare services, exploring unmet healthcare needs and the associated factors among people living in rural Vietnam. This cross-sectional study was conducted with 233 participants in a rural area. The methods included face-to-face interviews using a structured questionnaire, and anthropometric and blood pressure measurements. We considered participants to have unmet health needs if they had any kind of health problem during the past 12 months for which they were unable to see a healthcare provider. Multivariate logistic regression analysis was performed to determine the factors associated with unmet healthcare needs. Of the participants, 18% (n = 43) had unmet healthcare needs, for reasons like transportation (30%), a lack of available doctors or medicine (47%), and communication issues with healthcare providers (16%). The multivariate logistic regression showed that living in a rural area, having stage 2 hypertension, and having insurance were associated with unmet healthcare needs. To better meet the healthcare needs in rural or suburban areas of Vietnam, allocation of adequate healthcare resources should be distributed in rural areas and insurance coverage for personalized healthcare needs might be required. Efforts should focus on availability of medicine, improvement of transportation systems, and communication skills of healthcare providers to improve access to healthcare services.

scholarly journals Prevalence and correlates of overweight and obesity among adolescents in northeastern China: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e036820
Author(s):  
Ruixin Duan ◽  
Changgui Kou ◽  
Jing Jie ◽  
Wei Bai ◽  
Xiaoxin Lan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Dietary Habits ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Northeastern China ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Related Factors ◽  
Cross Sectional ◽  
Changchun City

ObjectivesTo estimate the prevalence of overweight/obesity among adolescents and evaluate the associated factors in this group in Changchun City in northeastern China.MethodsA cross-sectional study of 1955 adolescents aged 11–18 years was conducted in Changchun City using stratified cluster sampling. Parents and caregivers of children completed the questionnaires as requested without objection. The questionnaire included demographic characteristics and anthropometric parameters. Univariate and multivariate logistic regression analyses were performed to analyse the relationship between overweight/obesity and related factors.ResultsIn total, the prevalence of overweight was 12.7% (male 17.4%; female 10.1%) and of obesity was 4.9% (male 8.8%; female 3.1%) in Changchun, Jilin Province. The prevalence of overweight and obesity was higher in boys than in girls (p<0.001). Multivariate logistic regression showed that overweight and obesity were significantly associated with male sex (OR=1.91, 95% CI 1.48 to 2.47), eating fresh fruits more than 2 days per week (OR=1.41, 95% CI 1.09 to 1.84) and eating quickly (OR=1.37, 95% CI 1.06 to 1.78). Students who were not picky (OR=0.69, 95% CI 0.53 to 0.90) were less likely to be overweight, and adolescents whose father was overweight or obese (OR=0.67, 95% CI 0.52 to 0.86) or whose mother was overweight or obese (OR=0.72, 95% CI 0.52 to 0.99) were less likely to be overweight.ConclusionThe prevalence of overweight and obesity among adolescents in Changchun has been high in recent years, and the prevalence was higher among boys than among girls. Sex, dietary habits (weekly frequency of fruit consumption, picky eating and slowness in eating) and parental weight were important factors for overweight and obesity in adolescents. Further research should be conducted on the health of adolescents in China, and further intervention measures should be implemented to reduce the prevalence of overweight/obesity.

scholarly journals Sex-Specific Differences in Related Indicators of Blood Pressure in School-Age Children With Overweight and Obesity: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Hongmei He ◽  
Shujun Yang ◽  
Na Qiu ◽  
Ling Qiao ◽  
Yong Ding ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Mean Arterial Pressure ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
School Age Children ◽  
School Age ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Objective: The objective of this study is to further explore the difference between elevated blood pressure (EBP), elevated pulse pressure (EPP), and elevated mean arterial pressure (EMAP) and obesity in Chinese school-age children by sex.Methods: We performed a cross-sectional study of 935 children between 7 and 12 years old. Overweight and obesity were defined by body mass index and body composition. The multivariate logistic regression and the adjusted population attributable risk were used to assess the effects of obesity on pre-EBP/EBP, EPP, and EMAP. The interactions were used to identify the modification of obese on the relationship between related indicators of blood pressure and height or age.Results: The average age of the children included in the study was 10. Boys with overweight and obesity had higher pre-EBP/EBP, EPP, and EMAP (p &lt; 0.05). The multivariate logistic regression analysis showed that overweight and obesity had a greater impact on BP and MAP than PP, especially in boys [odds ratio (OR) &gt; 1]. Pre-EBP/EBP in 79% of boys and 76% of girls could be attributable to the visceral fat level. The interaction between BP, PP, MAP, and height or age was modestly increased in children with overweight and obesity, especially in boys.Conclusions: Independent of age and height, obesity not only increases blood pressure, it also increases mean arterial pressure and pulse pressure, and this effect is more pronounced in boys.

scholarly journals Serum albumin was negatively associated with diabetic peripheral neuropathy in Chinese population: a cross-sectional study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Pijun Yan ◽  
Qian Tang ◽  
Yuru Wu ◽  
Qin Wan ◽  
Zhihong Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Peripheral Neuropathy ◽  
Serum Albumin ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Chinese Patients ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Abstract Background Previous studies that explored the relationship of serum albumin with diabetic peripheral neuropathy (DPN) have indicated inconsistent results. Thus, the present study aimed to evaluated the association between serum albumin and DPN, defined as vibration perception threshold (VPT) values ≥ 25 V and/or inability to feel the monofilament, in Chinese patients with type 2 diabetes mellitus (T2DM). Methods 1465 T2DM patients aged ≥ 16 years, who completed the measurement of serum albumin and DPN screening between 2012 and 2015, were included in the cross-sectional study. Correlation and multivariate logistic regression analysis models were used to evaluate the possible relationship between serum albumin and DPN. Results Patients with higher quartiles of serum albumin had significantly lower VPT values and prevalence of DPN compared with those with lower quartiles (P for trend < 0.01), and there was an inverse relationship between serum albumin and VPT values and prevalence of DPN (all P < 0.01). Multivariate logistic regression analysis demonstrated that the risk of DPN was progressively decreased across serum albumin quartiles (P for trend < 0.01), and participants in the highest quartile of serum albumin were at a significantly decreased risk of DPN compared to those in the lowest quartile (odds rate: 0.311, 95% confidence intervals 0.134–0.724, P < 0.01). ROC analysis revealed that the optimal cutoff point of serum albumin for the prevalence of DPN was 39.95 g/L in patients with T2DM, with a sensitivity of 65.88% and a specificity of 66.7%. Conclusions Decreased levels of serum albumin might be correlated with increased risk of DPN in Chinese patients with T2DM. Future longitudinal studies with large samples are warranted to confirm our findings, and elucidate putative mechanisms for the association.

scholarly journals A predictive nomogram: a cross-sectional study on a simple-to-use model for screening 12-year-old children for severe caries in middle schools

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaoying Duan ◽  
Meng Li ◽  
Jialiang Zhao ◽  
Huiyu Yang ◽  
Jinfeng He ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Validation ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Dental Professionals

Abstract Background A nomogram is a tool that transforms complex regression equations into simple and visual graphs and enables clinicians and patients to conveniently compute output probabilities without needing medical knowledge and complex formulas. The aim of this study was to develop and validate a predictive nomogram to screen for severe caries among 12-year-old children based on risk factors in Sichuan Province, China. Methods A cross-sectional study of 4573 12-year-olds was conducted up to May 2016 in middle schools from three districts and three counties in Sichuan Province, China. All the children underwent oral examinations and completed questionnaires to assess general information, oral impacts on daily performance, dietary habits, subjective health conditions, history of dental trauma, frequency of toothache, dental visits, and knowledge, attitudes, and behaviours toward oral hygiene. Univariate analysis and multivariate logistic regression analysis were used to determine which variables were significantly associated with severe caries (operationalized as DMFT ≥ 3). A nomogram was developed and validated by using the ‘rms’ package and two cross-validation methods. Results Severe caries was found in 537 of the 4573 children (11.74%). Multivariate logistic regression analysis revealed that the following variables predicted a higher risk of severe caries: ‘female’ [odds ratio (OR) = 1.985, 95% confidence interval (95% CI): 1.63–2.411], ‘urban’ (OR = 2.389, 95% CI: 1.96–2.91), ‘non-only child’ (OR = 1.317, 95% CI: 1.07–1.625), ‘very poor self-assessment of oral health status’ (OR = 2.157, 95% CI: 1.34–3.467) and ‘visited a dentist less than 6 months’ (OR = 1.861, 95% CI: 1.38–2.505). Multivariate logistic regression analysis also indicated that the following variables predicted a lower risk of severe caries: ‘middle level of urbanization’ (OR = 0.395, 95% CI: 0.32–0.495) and ‘high level of urbanization’ (OR = 0.466, 95% CI: 0.37–0.596). Both the fivefold and leave-one-out cross-validation methods indicated that the nomogram model built by these 6 variables displayed good disease recognition ability. Conclusions The nomogram was a simple-to-use model to screen children for severe caries. This model was found to facilitate non-dental professionals in assessing risk values without oral examinations and making referrals to dental professionals.

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