scholarly journals Maternal Anthropometric Measurements Do Not Have Effect on Birth Weight of Term, Single, and Live Births in Addis Ababa City, Ethiopia

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Chalachew Bekele Shiferaw ◽  
Walelegn Worku Yallew ◽  
Gizachew Tadele Tiruneh
Keyword(s):  
Social Support ◽  
Regression Analysis ◽  
Birth Weight ◽  
Linear Regression ◽  
Low Birth Weight ◽  
Pregnant Women ◽  
Addis Ababa ◽  
Linear Regression Analysis ◽  
Anthropometric Measurements ◽  
Multivariate Linear Regression Analysis

Low birth weight is a global public health problem for mortality and morbidity in any age group. The objective of this study is to investigate the effect of maternal anthropometric measurements on birth weight. A cross-sectional study was conducted from Nov 25, 2012, to Feb 25, 2013, in maternity public hospitals in Addis Ababa city, Ethiopia. The effect is investigated using correlation, linear regression, independent sample T-test, one-way ANOVA, and finally multivariate linear regression analysis. A total of 605 women and their newborns took part in this study and prevalence of low birth weight is 8.3%. On adjusted multivariate linear regression analysis, maternal anthropometric measurements did not have an effect on birth weight. Since maternal mid-upper arm circumference ≤ 20 cm and body mass index ≤18.5kg/m2 are almost nil in this study, generalization is difficult to general population where undernourished women are common in the rural Ethiopia and similar study is recommended in those areas. Antenatal care visits, gestational age, and female sex of newborn had statistically significant effect in determining the risk of low birth weight. Women who were living with large family members had a heavier newborn than counterparts. This might be due to the fact that pregnant women have better care and social support in Ethiopian context, so advising pregnant women to live with family members should be considered to enhance social support during pregnancy in Ethiopia. Maternal anthropometric measurements have no significant effect in determining birth weight in the city and we recommend similar studies where undernourished women are common.

scholarly journals Nutritional status and weight gain in pregnant women

2012 ◽  
Vol 20 (3) ◽  
pp. 462-468 ◽  
Author(s):  
Ana Paula Sayuri Sato ◽  
Elizabeth Fujimori
Keyword(s):  
Regression Analysis ◽  
Weight Gain ◽  
Birth Weight ◽  
Linear Regression ◽  
Nutritional Status ◽  
Pregnant Women ◽  
Infant Health ◽  
Linear Regression Analysis ◽  
Total Weight Gain ◽  
The Mean

This study described the nutritional status of 228 pregnant women and the influence of this on birth weight. This is a retrospective study, developed in a health center in the municipality of São Paulo, with data obtained from medical records. Linear regression analysis was carried out. An association was verified between the initial and final nutritional status (p<0.001). The mean of total weight gain in the pregnant women who began the pregnancy underweight was higher compared those who started overweight/obese (p=0.005). Weight gain was insufficient for 43.4% of the pregnant women with adequate initial weight and for 36.4% of all the pregnant women studied. However, 37.1% of those who began the pregnancy overweight/obese finished with excessive weight gain, a condition that ultimately affected almost a quarter of the pregnant women. Anemia and low birth weight were uncommon, however, in the linear regression analysis, birth weight was associated with weight gain (p<0.05). The study highlights the importance of nutritional care before and during pregnancy to promote maternal-infant health.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

scholarly journals The Analysis Factor Influence Quality of Life Erderly People in Lemper Pamekasan City

2020 ◽  
Vol 3 (2) ◽  
pp. 499-507
Author(s):  
Sulistiani Sulistiani
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Pregnant Women ◽  
Significant Influence ◽  
Linear Regression Analysis ◽  
Simple Random Sampling ◽  
Physical Factor ◽  
Dietary Factors ◽  
Maternal Weight ◽  
Eating Pattern

Based on the data from WHO in 2015, incident of low birth weight in Indonesia is still high. As many as 15,5% of babies born in Malang district. in 2018, total babies born were 38.421 and 1261 babies were born with low birth weight (BPS Kab. Malang). Meanwhile in puskesmas dau, there were 30 babies birth with low birth weight. Factors that can influence LBW include maternal weight before pregnancy, maternal weight during pregnancy, arm circumference, alcohol consumption, cigarette use, symptoms of depression or anxiety and eating pattern. This study is a descriptive study with a linear regression analysis design multiple analysis to analyze physical, psychological, and dietary factors in tribulan III pregnant women against LBW events at Puskesmas Dau. Samples were taken by simple random sampling method with a total of 175 pregnant women. The result shows that these three factors had a significant influence on LBW events with a t-count of 2,200 physical condition factors, a t-count of 8,165 psychologic factors, and a t-count of 3,612 eating conditions. Based on the result of this study, it can conclude that there is significant effect between physical factor, psychological factor and eating pattern to low birth weight event in Puskesmas Dau. The conclusion of this study shows that psychological factors that have the most significant influence on LBW events when compared with other factors. Suggestions that can be given from researcher to Puskesmas Dau are to maintain and improve services to psychological conditions by always involving families in solving problems so that low birth weight will decrease

scholarly journals Relationship between Thyroid and Kidney Function: Analysis from the Korea National Health and Nutrition Examination Survey Between 2013 and 2015

2020 ◽  
Vol 45 (3) ◽  
pp. 442-454 ◽  
Author(s):  
Sang Hyuk Kim ◽  
Hyang Ki Min ◽  
Sung Woo Lee
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Kidney Function ◽  
Thyroid Function ◽  
Direct Effect ◽  
National Health ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Health And Nutrition

Introduction: Thyroid function is evaluated by thyroid stimulating hormone (TSH) and free thyroxine (fT4). Although many studies have indicated an intimate relationship between thyroid hormones and kidney functions, reports about the simultaneous evaluation of TSH and fT4 are rare. Objective: We aimed to analyze the association between TSH and kidney function, with emphasis on a potential nonlinear relationship, and identify an independent relationship between fT4 and kidney function. Methods: We reviewed the data of 7,061 subjects in the Korea National Health and Nutrition Examination Surveys who were randomly subsampled for thyroid function evaluation between 2013 and 2015. A total of 5,578 subjects were included in the final analysis, after excluding people <18 years old, and those with a short fasting time, abnormal fT4 levels, and thyroid disease or related medications. Creatinine-based estimated glomerular filtration rate (eGFR) was used to define kidney function. Results: A 1 mmol/L increase of logarithmic TSH was associated with decreased eGFR (β: –1.8; 95% CI –2.3 to –1.2; p < 0.001), according to multivariate linear regression analysis. On the multivariate generalized additive model plot, TSH demonstrated an L-shaped relationship with eGFR, showing a steeper slope for 0–4 mIU/L of TSH. A 1 µg/dL increase of fT4 was also associated with decreased eGFR (β: –7.0; 95% CI –0.94 to –4.7; p < 0.001) on the multivariate linear regression analysis; this association was reversed after adjusting for age. On the mediation analysis, the indirect effect via age and direct effect per 1 µg/dL increase of fT4 on eGFR was 9.9 (8.1 to 11.7, p < 0.001) and –7.1 (–9.3 to –4.8, p < 0.001), respectively. Conclusions: Increased TSH was associated with decreased eGFR, particularly in the reference range. The direct effect of increased fT4 was decreased eGFR, which may be affected indirectly by age.

Relative contribution of various expressions of cAMP excretion to other indices of parathyroid function, as tested by discriminant multivariate linear regression analysis.

1986 ◽  
Vol 32 (7) ◽  
pp. 1279-1284 ◽  
Author(s):  
J Valsamis ◽  
J Van Peborgh ◽  
H Brauman
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Adenosine Monophosphate ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Amino Terminal ◽  
Relative Contribution ◽  
Parathyroid Function ◽  
Glomerular Filtrate

Abstract We evaluated the relative contribution to the diagnosis of hyperparathyroid disease from current laboratory indices of parathyroid function--plasma calcium (I), phosphate (II), carboxy-terminal (III) and predominantly amino-terminal (IV) radioimmunoassays of parathyrin, the urinary excretion ratios of cyclic adenosine monophosphate (cAMP) to creatinine (V) or to glomerular filtrate (VI), and the ratio of the nephrogenous fraction of cAMP to glomerular filtrate (VII)--in 224 subjects: 40 with surgically proven hyperparathyroid disease, the others normoparathyroid. The decreasing order of sensitivity was I greater than VI greater than VII greater than V greater than III greater than IV greater than II; all these indices differed significantly between normoparathyroid and hyperparathyroid patients. The decreasing order of specificity was VII, III greater than I greater than IV greater than V, II greater than VI. Discriminant multivariate linear regression analysis was performed in a subset of 58 subjects (17 hyper- and 41 normoparathyroid) from the population studied here, chosen because all of the laboratory indices were determined for each subject. The classification accuracy was 98.3% for combining I, VII, and III (r = 0.908), or I and V (r = 0.893), or I and VII (r = 0.889). The other variables did not add to the precision of classification.

scholarly journals FRAX® Fracture Risks Are Associated with Coronary Artery Calcification Score

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Tzyy-Ling Chuang ◽  
Yi-Da Li ◽  
Fu-Tsung Hsiao ◽  
Mei-Hua Chuang ◽  
Yuh-Feng Wang
Keyword(s):  
Regression Analysis ◽  
Coronary Artery ◽  
Linear Regression ◽  
Fracture Risk ◽  
Coronary Artery Calcification ◽  
Assessment Tool ◽  
Clinical Laboratory ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Mineral Density

Purpose. To examine the association between fracture risk assessment tool (FRAX) scores and coronary artery calcification (CAC) score in adults. Methods. The medical records of 81 adults who underwent both coronary computed tomography and bone mineral density (BMD) studies in a package during their health exams were reviewed at a regional hospital in Southern Taiwan. Data collected included health history, anthropomorphic characteristics, clinical laboratory results, and BMD. Fracture risk was determined using FRAX. Univariate and multivariate linear regression analysis were used to assess the association between CAC score and 10-year probability of hip fracture (HF) and major osteoporotic fracture (MOF) determined by FRAX. Results. The mean age of the patients was 55.8 years, and 63.0% were male. Univariate linear regression analysis showed that increases in MOF and HF risks, as measured by FRAX, were significantly and positively associated with CAC score. Multiple linear regression analysis adjusting for potential confounders showed that CAC score remained significantly associated with four FRAX indicators, including right MOF (r=0.45, P<0.001), left MOF (r=0.31, P=0.021), right HF (r=0.38, P=0.001), and left HF (r=0.23, P=0.049). Conclusions. Increased risks of MOF and HF as determined by FRAX were significantly and independently associated with CAC score.

scholarly journals Relationship between the iron status of pregnant women and their newborns

2007 ◽  
Vol 41 (3) ◽  
pp. 321-327 ◽  
Author(s):  
Adriana de A Paiva ◽  
Patrícia H C Rondó ◽  
Regina A Pagliusi ◽  
Maria do R D O Latorre ◽  
Maria A A Cardoso ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Iron Deficiency ◽  
Linear Regression ◽  
Nutritional Status ◽  
Pregnant Women ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Southeastern Brazil ◽  
Iron Deficient

OBJECTIVE: To determine the relationship between iron nutritional status of pregnant women and their newborns using a combination of hematological and biochemical parameters for the diagnosis of iron deficiency. METHODS: A cross-sectional study was conducted in Jundiaí, Southeastern Brazil, in 2000. Venous blood samples collected from 95 pregnant women and from their umbilical cord and used for the determination of complete blood count, serum iron, total iron-binding capacity, serum ferritin, zinc protoporphyrin, and transferrin saturation. Women were classified into three groups: anemic, iron deficient and non-iron deficient. Statistical analysis included the Tukey-HSD test, Pearson's correlation coefficient and multiple linear regression analysis. RESULTS: Among pregnant women, 19% were anemic (97.9% mildly anemic and 2.1% moderately anemic) and 30.5% were iron deficient. No significant difference was seen in mean values of any parameter studied between newborns in the three groups (p>0.05). Multiple linear regression analysis showed weak association between neonatal and maternal parameters. CONCLUSIONS: The iron nutritional status of pregnant women with iron deficiency or mild anemia does not seem to have a significant impact on the iron levels of their children.

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