scholarly journals Placental thickness and its correlation to gestational age in Nepalese woman: a hospital based study

2017 ◽  
Vol 4 (2) ◽  
pp. 53-57
Author(s):  
Ranjan Peasad Devbhandari ◽  
Rajendra Raut ◽  
Jessica Shrestha ◽  
Kedar Prasad Baral
Keyword(s):  
Gestational Age ◽  
Maternal Nutrition ◽  
Growth Parameters ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Well Being ◽  
Menstrual Period ◽  
Ultrasound Measurement ◽  
Cross Sectional ◽  
Placental Thickness

Introductions: Gestational age is estimated on the basis of last normal menstrual period and the measurement of foetal growth parameters by ultrasonography. The lack of accurate recollection of the last menstrual period and dependence of growth parameters on intra-uterine environment, physical and mental well-being of the mother, maternal nutrition and genetic factors leads to the over or under estimation of gestational age. The aim of this study was to investigate the correlation between placental thicknesses (PT) in normal singleton Nepalese foetuses. Methods: This was a cross sectional study of ultrasound measurement of placental thickness during 2nd and 3rd trimester pregnancy from April 2015 to October 2015 at Department of Radiology, Suraksha Hospital, Biratnagar, Nepal. All viable singleton uncomplicated pregnancies, history of regular menstruation with known LNMP were included. Microsoft Excel and SPSS 17 were used for data analysis. Pearson’s correlation analysis was used for correlation between placental thickness and gestational age. Statistical tests were two-tailed with p<0.01 as statistical significance. Results: There were 592 pregnant women who met the criteria. Placental thickness increased by 0.86 mm in every week of increase in gestational age. The maximum mean PT of 40.42±1.05 mm was observed at 39th week. There was a significant positive correlation between placental thickness and gestational age, correlation coefficient r=0.986 (P<0.001). Conclusions: PT was found to be a reliable alternative predictor in calculating gestational age. Measurement of PT should be done routinely during obstetrics ultrasonography.

scholarly journals Placental Thickness and Its Correlation with Gestational Age: A Cross-sectional Ultrasonographic Study

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Sumnima Acharya ◽  
Awadesh Tiwari ◽  
Rupesh Sharma
Keyword(s):  
Fetal Growth ◽  
Gestational Age ◽  
Growth Parameters ◽  
Pearson Correlation ◽  
Abdominal Circumference ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Reliable Parameter ◽  
The Difference ◽  
Placental Thickness

Introduction: Placenta grows in size with the advancement of gestational age (GA) and plays an important role for delivery of nutrients from mother to fetus. Ultrasonography (USG) is implicated for the estimation of GA by using fetal growth parameters like Femur Length (FL), Bi-parietal Diameter (BPD), Head Circumference (HC), and Abdominal Circumference (AC). This study intends to observe the correlation between Placental Thickness (PT) and GA. Methods: It was an observational, cross-sectional, and analytical study conducted over a period of six months from November 2017 to April 2018. Fetal growth parameters i.e. FL, BPD, HC, and AC were measured to estimate GA. PT was also measured at the same time. Results: There was a positive correlation between PT and GA (r = 0.89, n=249, p < 0.001). Pearson correlation coefficient between the two variables at second and third trimesters were 0.81 and 0.49 respectively. Fisher r-to-z transformation was used to analyze the difference between those two coefficients and was found to be statistically significant (z = 4.6, p < 0.001). This indicates that there was a significant overall relationship between PT and GA. As GA increases, PT also increases. Conclusion: Our study observed a positive correlation between the PT and GA in second and third trimesters. Thickness of placenta can thus be used as a reliable parameter for the estimation of GA during the second and third trimesters, and can be used as a supplementary USG parameter along with FL, BPD, HC and AC.

scholarly journals PLACENTAL THICKNESS AND ITS CORRELATION TO GESTATIONAL AGE ESTIMATED BY FOETAL GROWTH PARAMETERS-A CROSS SECTIONAL ULTRASONOGRAPHIC STUDY

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
M Ahmad ◽  
MN Anjum ◽  
M Asif ◽  
S Ayub ◽  
A Muzaffar ◽  
...  
Keyword(s):  
Gestational Age ◽  
Growth Parameters ◽  
P Value ◽  
Strongly Correlated ◽  
Cross Sectional ◽  
Pearson’S Correlation ◽  
Chorionic Villi ◽  
Fetal Organ ◽  
Pearson's Correlation ◽  
Placental Thickness

The placenta is a meterno-fetal organ and starts developing on the 5th week from chorionic villi at the implantation site. The placenta continues to increase in thickness and hence its thickness can be used to indicate the gestational age when the last menstruation date is not confirmed. The purpose of the study was to find out the correlation of placental thickness to the gestational age estimated by growth parameters of the fetus. The study was a cross-sectional analytical study conducted on 2000 participants. The study was conducted in the Department of Radiology Social Security Hospital, Multan Chungi Lahore. The inclusion-exclusion criteria were established and participants were observed using a Toshiba ultrasonography machine. The subjects were placed supine and placental thickness was measured to the accuracy of 1mm. Pearson’s correlation was applied to find out the correlation between placental thickness and gestational age of the participants. The mean age of the participants was 28.37  +  4.6. The youngest participant was age 18 and the eldest participant was age 40. The gestational age of the participants included ranged between 12th week to 40th week. Pearson’s correlation score indicated that the correlation value 0.896. Which indicated that the placental thickness and gestational age were strongly correlated? The P-value < 0.05 indicated that the results were significant. The study concluded a strong correlation between gestational age and placental thickness of the fetus. The thickness of the placenta increased with an increase in gestational age and hence could be used as a predictor and a parameter of gestational age prediction when the last menstruation is uncertain or is unknown.

scholarly journals Placental thickness: an important parameter in determining gestational age and fetal growth during ANC scan

2018 ◽  
Vol 7 (11) ◽  
pp. 4619
Author(s):  
Dipali Kadam ◽  
Saurabh Patil ◽  
Meenal Jain
Keyword(s):  
Gestational Age ◽  
Abdominal Circumference ◽  
P Value ◽  
Third Trimester ◽  
Cross Sectional ◽  
Femur Length ◽  
Biparietal Diameter ◽  
Antenatal Sonography ◽  
Umbilical Cord Insertion ◽  
Placental Thickness

Background: Gestational Age (GA) is one of the most imperative parameters required for proper management in pregnancy. Routinely GA is estimated by sonography utilising Biparietal Diameter (BPD), Femur Length (FL), Abdominal Circumference (AC) and Head Circumference (HC). In any case, these parameters have some limitations. Hence, there is need to find other parameters that may complement the established fetal biometric parameters in predicting GA. The objective of the present study was to assess placental thickness in second and third trimester pregnancies and its relationship with fetal gestational age and its role in detecting LBW and IUGRMethods: A cross sectional prospective study was carried out in three hundred pregnant women between 13 to 40 weeks of gestation, who came for routine antenatal sonography. Placental thickness was measured along with routine parameters. Placental thickness was measured at the level of umbilical cord insertion by two-dimensional ultrasonography.Results: Correlation between the GA by LMP and Placental thickness by ultrasound was done by using Karl Pearson's Correlation(r). The values were expressed as mean + standard deviation. Correlation between placental thickness and gestational age was statistically significant as p value is <0.01. Placental thickness measured in millimetres increases with gestational age in second and third trimester.Conclusions: The correlation between the placental thickness and gestational age was linear and direct. Therefore, Placental thickness is used as a predictor for estimation of gestational age of the fetus in cases where LMP is not known and in detecting developing IUGR and low birth weight.

scholarly journals Placental thickness in third trimester and its correlation to gestational age and fetal weight in primigravida

2020 ◽  
Vol 8 (3) ◽  
pp. 131-135
Author(s):  
Muna Badu ◽  
Shankar Bahadur Singh Rajbhandari ◽  
Pashupati Regmi
Keyword(s):  
Gestational Age ◽  
Pearson Correlation ◽  
College Teaching ◽  
Accurate Method ◽  
Fetal Weight ◽  
P Value ◽  
Additional Parameter ◽  
Third Trimester ◽  
Cross Sectional ◽  
Placental Thickness

Background: Gestational age and fetal weight estimation by ultrasound is the most effective and accurate method to date pregnancy. Ultrasound has been used to characterize placental position and morphologic changes. Placental thickness could be one additional parameter to assess gestational age and fetal weight. Objectives: This study aims to investigate the relationship between placental thickness with gestational age and fetal weight in third trimester of pregnancy in primigravida. Methodology: Prospective hospital based cross sectional study was conducted including 111 primigravida in third trimester with normal singleton pregnancies in Department of Radiology of Kathmandu Medical College Teaching Hospital from November 2018 to February 2019. Patients with known medical and obstetrical complications were excluded from the study. Placental thickness in millimeters was measured at the level of insertion of the umbilical cord. Pearson’s correlation analysis was used for analyzing variables and p-value <0.05 was considered statistically significant. Results: Mean age of participants was 28.3 ± 4.79 years. Posterior location of the placenta was most common (35%). Placental thickness correlated well with the gestational age and fetal weight. Pearson correlation coefficient was found to be 0.645 for placental thickness with gestational age and 0.598 for placental thickness with fetal weight. P-value was <0.001 in both, showing positive correlation of mentioned variables with placental thickness. Conclusion: Placental thickness can be a new and reliable parameter for estimation of gestational age and fetal weight. It can be routinely used during antenatal checkup.

scholarly journals CircaCompare: a method to estimate and statistically support differences in mesor, amplitude and phase, between circadian rhythms

2019 ◽  
Author(s):  
Rex Parsons ◽  
Richard Parsons ◽  
Nicholas Garner ◽  
Henrik Oster ◽  
Oliver Rawashdeh
Keyword(s):  
Wave Function ◽  
Statistical Tests ◽  
Statistical Significance ◽  
P Value ◽  
Cross Sectional ◽  
Fundamental Interest ◽  
Response Variable ◽  
Highly Sensitive ◽  
Significant Difference ◽  
Phase Amplitude

Abstract Motivation A fundamental interest in chronobiology is to compare patterns between groups of rhythmic data. However, many existing methods are ill-equipped to derive statements concerning the statistical significance of differences between rhythms that may be visually apparent. This is attributed to both the form of data used (longitudinal versus cross-sectional) and the limitations of the statistical tests used to draw conclusions. Results To address this problem, we propose that a cosinusoidal curve with a particular parametrization be used to model and compare data of two sets of observations collected over a 24-h period. The novelty of our test is in the parametrization, which allows the explicit estimation of rhythmic parameters [mesor (the rhythm-adjusted mean level of a response variable around which a wave function oscillates), amplitude and phase], and simultaneously testing for statistical significance in all three parameters between two or more groups of datasets. A statistically significant difference between two groups, regarding each of these rhythmic parameters, is indicated by a P-value. The method is evaluated by applying the model to publicly available datasets, and is further exemplified by comparison to the currently recommended method, DODR. The results suggest that the method proposed may be highly sensitive to detect rhythmic differences between groups in phase, amplitude and mesor. Availability and implementation https://github.com/RWParsons/circacompare/

scholarly journals Relationship between newborn leptin levels and selected growth parameters

2019 ◽  
Vol 47 (6) ◽  
pp. 2591-2597 ◽  
Author(s):  
Amer Mahmoud Sindiani ◽  
Rawan Obeidat ◽  
Omar Jbarah ◽  
Ethar Hazaimeh
Keyword(s):  
Gestational Age ◽  
Head Circumference ◽  
Growth Parameters ◽  
Cross Sectional ◽  
Intrauterine Growth ◽  
The North ◽  
Term Newborns ◽  
The Mean ◽  
The Difference ◽  
Umbilical Cord Vein

Objectives This study aimed to determine leptin levels in term newborns who were born in the north of Jordan. We also aimed to investigate the relationships of leptin levels with fetal growth parameters, and to assess the difference in leptin levels according to sex and gestational age. Methods A cross-sectional descriptive study that involved 170 term newborns was conducted. A working sheet for data collection was created for each newborn and included sex, weight, length, head circumference, gestational age, and Apgar score. Blood samples were obtained from the umbilical cord vein of newborns after delivery to measure serum leptin levels. Data are shown as frequency, percentages, means, and standard deviations. Results We found that the mean leptin level was 1.17 ± 0.48 ng/mL. The independent t-test showed that the mean leptin level in boys (0.93 ± 0. 34 ng/mL) was significantly lower than that in girls (1.38 ± 0.47 ng/mL). Pearson’s correlations showed that leptin levels of newborns were positively and significantly correlated with weight, length, and head circumference. Conclusion In Jordanian healthy term newborns, leptin levels correlate with sex and intrauterine growth parameters.

scholarly journals Mental health benefits of interactions with nature in children and teenagers: a systematic review

2018 ◽  
Vol 72 (10) ◽  
pp. 958-966 ◽  
Author(s):  
Suzanne Tillmann ◽  
Danielle Tobin ◽  
William Avison ◽  
Jason Gilliland
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Attention Deficit Disorder ◽  
Statistical Significance ◽  
Well Being ◽  
Mental Health Outcomes ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related ◽  
Study Designs

BackgroundIt is commonly believed that nature has positive impacts on children’s health, including physical, mental and social dimensions. This review focuses on how accessibility to, exposure to and engagement with nature affects the mental health of children and teenagers.MethodsTen academic databases were used to systematically search and identify primary research papers in English or French from 1990 to 1 March 2017. Papers were included for review based on their incorporation of nature, children and teenagers (0–18 years), quantitative results and focus on mental health.ResultsOf the 35 papers included in the review, the majority focused on emotional well-being and attention deficit disorder/hyperactivity disorder. Other outcome measures included overall mental health, self-esteem, stress, resilience, depression and health-related quality of life. About half of all reported findings revealed statistically significant positive relationships between nature and mental health outcomes and almost half reported no statistical significance.ConclusionsFindings support the contention that nature positively influences mental health; however, in most cases, additional research with more rigorous study designs and objective measures of both nature and mental health outcomes are needed to confirm statistically significant relationships. Existing evidence is limited by the cross-sectional nature of most papers.

scholarly journals Healthworker Preparedness for COVID-19 Management and Implementation Experiences: A Mixed Methods Study in Uganda’s Refugee-Hosting Districts

2021 ◽  
Author(s):  
Gloria Seruwagi ◽  
Catherine Nakidde ◽  
Felix Otieno ◽  
Joshua Kayiwa ◽  
Brian Luswata ◽  
...  
Keyword(s):  
Health System ◽  
Work Environment ◽  
Negative Impact ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Total Sample ◽  
P Value ◽  
Cross Sectional ◽  
Validated Questionnaire ◽  
High Level

Abstract Background : The negative impact of COVID-19 on population health outcomes raises critical questions on health system preparedness and resilience, especially in resource-limited settings. This study examined healthworker preparedness for COVID-19 management and implementation experiences in Uganda’s refugee-hosting districts.Methods : A cross sectional, mixed-method descriptive study in 17 health facilities in 7 districts from 4 major regions. Total sample size was 485 including >370 health care workers (HCWs). HCW knowledge, attitude and practices (KAP) was assessed by using a pre-validated questionnaire. The quantitative data was processed and analysed using SPSS 26, and statistical significance assumed at p<0.05 for all statistical tests. Bloom's cutoff of 80% was used to determine threshold for sufficient knowledge level and practices with scores classified as high (80.0%–100.0%), average (60.0%–79.0%) and low (≤59.0%). HCW implementation experiences and key stakeholder opinions were further explored qualitatively using interviews which were audio-recorded, coded and thematically analysed.Results: On average 71% of HCWs were knowledgeable on the various aspects of COVID-19, although there is a wide variation in knowledge. Awareness of symptoms ranked highest among 95% (p value < 0.0001) of HCWs while awareness of the criteria for intubation for COVID-19 patients ranked lowest with only 35% (p value < 0.0001). Variations were noted on falsehoods about COVID-19 causes, prevention and treatment across Central (p value < 0.0356) and West Nile (p value < 0.0161) regions. Protective practices include adequate ventilation, virtual meetings and HCW training. Deficient practices were around psychosocial and lifestyle support, remote working and contingency plans for HCWs safety. The work environment has immensely changed with increased demands on the amount of work, skills and variation in nature of work. HCWs also reported moderate control over their work environment, high level of support from supervisors (88%) and colleagues (93%). Conclusions: HCWs preparedness is inadequate in some aspects. Implementation of healthcare interventions is constrained by the complexity of Uganda’s health system design, top-down approach of the national response to COVID-19 and longstanding health system bottlenecks. We recommend continuous information sharing on COVID-19, a design review with capacity strengthening at all health facility levels and investing in community-facing strategies.

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