The Contribution of Socioeconomic Status to Children's Performance on Three Grammatical Measures in the Edmonton Narrative Norms Instrument

2021 ◽  
pp. 1-10
Author(s):  
Brian Weiler ◽  
Phyllis Schneider ◽  
Ling-Yu Guo
Keyword(s):  
Socioeconomic Status ◽  
Linear Regression ◽  
Chronological Age ◽  
Normative Sample ◽  
Verb Morphology ◽  
Link Type ◽  
Relative Contribution ◽  
Language Status ◽  
Study Offer ◽  
Child Age

Purpose The purpose of this study was to evaluate the relative contribution of socioeconomic status (SES) on three grammatical measures—finite verb morphology composite (FVMC), percent grammatical utterances (PGU), and clausal density—in children between the ages of 4 and 9 years. Method Data for this study were from the normative sample in the Edmonton Narrative Norms Instrument. For 359 children, hierarchical linear regression was performed to evaluate the amount of variance in FVMC, PGU, and clausal density that was uniquely explained by SES after accounting for child chronological age and language status (typical, impaired). Results After child age and language status were controlled, SES was a significant predictor of PGU and clausal density scores, but not of FVMC scores. SES uniquely accounted for 0.5% of variance in PGU scores and 0.8% of variance in clausal density scores. Conclusions Consistent with maturational accounts of children's development of tense markers, results of this study offer evidence that, among grammatical measures, FVMC is uniquely robust to variation in SES. Although significant, the variance of PGU and clausal density scores uniquely accounted for by SES was close to minimum. Clinicians can therefore include these three grammatical measures for assessing children of different socioeconomic backgrounds. Supplemental Material https://doi.org/10.23641/asha.14810484

scholarly journals Does physiological distribution of blood parameters in children depend on socioeconomic status? Results of a German cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e019143 ◽  
Author(s):  
Kristin Rieger ◽  
Mandy Vogel ◽  
Christoph Engel ◽  
Uta Ceglarek ◽  
Kristian Harms ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Linear Regression ◽  
Family Income ◽  
Blood Parameters ◽  
Research Centre ◽  
Regression Analyses ◽  
Pubertal Stage ◽  
Cross Sectional ◽  
Z Scores

ObjectivesIn the present study, we examined the relation between socioeconomic status (SES) and the physiological distribution of iron-related blood parameters.DesignThis is a cross-sectional analysis of longitudinal population-based cohort study.SettingBased on a sample of healthy participants from a German research centre, various blood parameters and values of clinical examinations and questionnaires were collected.ParticipantsA total of 1206 healthy volunteers aged 2.5 to 19 years, one child per family randomly selected, were included.Primary and secondary outcome measuresAssociations between the SES of children by Winkler-Stolzenberg Index (WSI) and its dimensions (income, education, occupation) and iron-related blood parameters (haemoglobin, ferritin and transferrin) were analysed by linear regression analyses. Gender and pubertal stage were included as covariables. Additionally, associations between SES of children by WSI and physical activity (side-to-side jumps, push-ups) as well as body mass index (BMI) were analysed by linear regression analyses.ResultsChildren with high WSI or family income showed significantly increased z-scores for haemoglobin (P=0.046; P<0.001). Children with increased WSI or family income showed significantly lower z-scores for transferrin (P<0.001). There was a significant correlation between haemoglobin and gender (P<0.001) and between transferrin and pubertal stage (P=0.024). Furthermore, physical activity was positively correlated and BMI was negatively correlated with WSI (P<0.001).DiscussionOur data show an association between SES and the distribution of iron-dependent parameters. Lower SES is correlated with lower values for haemoglobin and higher values for transferrin. Furthermore, we demonstrate that physical activity and BMI are associated with SES. Whereas higher SES is correlated with higher values for physical activity and lower BMI. Our parameters are standardised as z-scores with the advantages that the results are comparable across different age groups and present physiological courses.Trial registration numberNCT02550236; Results.

scholarly journals A note on the Gao et al. (2019) uniform mixture model in the case of regression

2019 ◽  
Vol 289 (2) ◽  
pp. 495-501
Author(s):  
Mike G. Tsionas ◽  
Athanasios Andrikopoulos
Keyword(s):  
Monte Carlo ◽  
Linear Regression ◽  
Mixture Model ◽  
Bayesian Methods ◽  
Error Term ◽  
Probability Distributions ◽  
Monte Carlo Experiment ◽  
Link Type ◽  
Irregular Data ◽  
Weighted Combination

AbstractWe extend the uniform mixture model of Gao et al. (Ann Oper Res, 2019. 10.1007/s10479-019-03236-9) to the case of linear regression. Gao et al. (Ann Oper Res, 2019. 10.1007/s10479-019-03236-9) proposed that to characterize the probability distributions of multimodal and irregular data observed in engineering, a uniform mixture model can be used. This model is a weighted combination of multiple uniform distribution components. This case is of empirical interest since, in many instances, the distribution of the error term in a linear regression model cannot be assumed unimodal. Bayesian methods of inference organized around Markov chain Monte Carlo are proposed. In a Monte Carlo experiment, significant efficiency gains are found in comparison to least squares justifying the use of the uniform mixture model.

scholarly journals Iron profiles of preterm infants at two months of chronological age

2017 ◽  
Vol 56 (5) ◽  
pp. 277 ◽  
Author(s):  
Henny Adriani Puspitasari ◽  
Endang Windiastuti ◽  
Aryono Hendarto
Keyword(s):  
Socioeconomic Status ◽  
Birth Weight ◽  
Iron Deficiency ◽  
Preterm Infants ◽  
Low Socioeconomic Status ◽  
Ferritin Level ◽  
Educational Background ◽  
Deficiency Anemia ◽  
Chronological Age ◽  
Low Socioeconomic

Background Preterm infants are vulnerable to iron deficiency (ID) due to lack of maternal iron stores, repeated phlebotomy, and the body’s increased demand for iron during growth. The risk of ID increases at 2 months of age, when hemoglobin (Hb) levels start to decrease. Adequacy of body iron level is assessed by ferritin, serum iron (SI), transferrin saturation (Tfsat), total iron-binding capacity (TIBC), and Hb measurements.Objective To describe iron profiles in preterm infants at 2 months of chronological age (CA).Methods This cross-sectional study was conducted in 2-month-old infants, born at 32-36 weeks of gestational age, and who visited the Growth and Development Clinics at Cipto Mangunkusumo, Fatmawati, or Budi Kemuliaan Hospitals. Parental interviews and medical record reviews were done during the clinic visits. Complete blood count, blood smear, SI, TIBC, Tfsat, and ferritin level tests were performed.Results Eighty-three subjects were enrolled in this study. Most subjects were male (51%) and born to mothers >20 years of age (93%). Subjects’ birth weights ranged from 1,180 g to 2,550 g. The prevalence of iron deficiency anemia (IDA) was 6% and that of ID was 10%. The lowest Hb level found in IDA infants was 6.8 g/dL, while the lowest ferritin level was 8.6 ng/mL. Median values for the other tests were as follows: SI 48 µg/dL, TIBC 329µg/dL, and Tfsat 17%. Subjects with IDA were all male (5/5), mostly achieved more than twice their birth weight (4/5), were non-iron supplemented (3/5), born to mothers with low educational background (3/5), and of low socioeconomic status (3/5).Conclusion The prevalence of IDA is 6% and that of ID is 10%. Most subjects with ID and IDA have low SI, high TIBC, low Tfsat, and low ferritin level. Most of the all-male IDA subjects weigh more than twice their birth weight, are non-iron supplemented, and born to mothers with low educational background and low socioeconomic status.

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.

The Correlation of Selected Nonmathematical Measures with Mathematics Achievement

1974 ◽  
Vol 5 (1) ◽  
pp. 47-56
Author(s):  
W. George Cathcart
Keyword(s):  
Socioeconomic Status ◽  
Mathematics Achievement ◽  
Grade Level ◽  
Third Grade ◽  
Significant Variable ◽  
Relative Contribution ◽  
Listening Ability ◽  
Achievement In Mathematics ◽  
Grade 3

Most studies that have investigated achievement in mathematics have found that it is correlated with numerous nonmathematical variables. This study examined the relative contribution of intelligence, conservation, socioeconomic status, age, listening ability, vocabulary level, and sex as correlates of mathematics achievement with second- and third-grade pupils. Listening ability and vocabulary levels were significant variables. Intelligence was a significant variable for Grade 3 but not for Grade 2 pupils. Sex and the ability to conserve were not significant at either grade level.

Pragmatics and SLI

1993 ◽  
Vol 36 (4) ◽  
pp. 777-789 ◽  
Author(s):  
Holly K. Craig ◽  
Julia L. Evans
Keyword(s):  
Language Impairment ◽  
Specific Language Impairment ◽  
Language Skills ◽  
Receptive Language ◽  
Chronological Age ◽  
Specific Language ◽  
Language Status ◽  
Pragmatic Research ◽  
Normal Language ◽  
Mean Length Of Utterance

Selected discourse behaviors of children with specific language impairment (SU) presenting expressive (E:SLI) or combined expressive-receptive deficits (E-R:SLI) were compared to each other and to chronological age-mates and younger mean length of utterance (MLU)-matched children with normal-language skills. The two SLI subgroups varied from each other on specific measures of tum-taking and cohesion. These findings imply the need for future normative work with SLI subgroups differing in receptive skill, and indicate that, in the interim, pragmatic research with this population will need to consider potential effects of receptive language status when interpreting variations in outcomes for discourse-based variables.

scholarly journals Association of Sex with the Global Burden of Age-related Macular Degeneration

2020 ◽  
Author(s):  
Jing Wu ◽  
Jiayue Zhou ◽  
Xiajing Tang ◽  
Xiaoning Yu ◽  
Xingchao Shentu
Keyword(s):  
Socioeconomic Status ◽  
Linear Regression ◽  
Macular Degeneration ◽  
Human Development ◽  
Pearson Correlation ◽  
Age Related Macular Degeneration ◽  
Global Burden ◽  
Regression Analyses ◽  
Public Attention ◽  
Age Related

Abstract Background: Age-related macular degeneration (AMD) is the third leading cause of blindness and affects approximately 196 million people. This study aims to explore the association of sex with the global burden of AMD by year, age, and socioeconomic status using disability-adjusted life-years (DALYs).Methods: Global, national sex-specific DALY numbers, crude DALY rates, and age-standardized DALY rates caused by AMD, by year and age, were extracted from the Global Burden of Disease Study 2017. The human development index (HDI) in 2017 was extracted as an indicator of national socioeconomic status from the Human Development Report 2018 (HDR 2018). Pearson correlation and linear regression analyses were conducted to investigate the association between socioeconomic status and sex inequality of AMD.Results: Differences in the sex-specific global burden of AMD have persisted since 1990 to 2017. Female individuals had higher burden than male individuals of the same age in 2017, and the differences gradually increased after 55 years and maximized at 80 years or older with 105.41 DALYs rates in female vs 81.00 DALYs rates in male. The paired Wilcoxon signed rank test indicated that female had higher age-standardized DALY rates than male had (Z = -6.520, P < 0.001) and countries with lower HDI values had higher age-standardized DALY rates among both sexes. DALY rate ratio and sex differences in age-standardized DALY rates were positively associated with HDI in both Pearson correlation analyses and linear regression analyses of AMD. (P < 0.05).Conclusions: Although global blindness and vision impairment health care is progressing, sex inequality in AMD burden remained persistent since the past few decades. These findings might raise more public attention to the gender differences in global AMD burden and the association between the sex-related global burden and socioeconomic status.

scholarly journals Global, regional, and national prevalence, disability adjusted life years, and time trends for refraction disorders, 1990–2019: findings from the global burden of disease study 2019

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
He-Yan Li ◽  
Yue-Ming Liu ◽  
Li Dong ◽  
Rui-Heng Zhang ◽  
Wen-Da Zhou ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Linear Regression ◽  
World Bank ◽  
Global Burden ◽  
Prevalence Rates ◽  
Disability Adjusted Life Years ◽  
Health Burden ◽  
National Characteristics ◽  
Disability Adjusted Life ◽  
Life Years

Abstract Background To evaluate global burden of refraction disorders by year, age, region, gender, socioeconomic status and other national characteristics in terms of disability adjusted life years (DALYs) and prevalence from Global Burden of Disease (GBD) study 2019 and World Bank Open Data 2019. Methods Global, regional, and national DALY numbers, crude DALY rates, age-standardized DALY and prevalence rates of refraction disorders were acquired from the GBD study 2019. Mobile cellular subscriptions, urban population, GDP per capita, access to electricity and total fertility rate were obtained from the World Bank to explore the factors that influenced the health burden of refraction disorders. Kruskal-Wallis test, linear regression and multiple linear regression were performed to evaluate the associations between the health burden with socioeconomic levels and other national characteristics. Wilcoxon Signed-Rank Test was used to investigate the gender disparity. Results Globally, age-standardized DALY rates of refraction disorders decreased from 88.9 (95% UI: 60.5–120.3) in 1990 to 81.5 (95% UI: 55.0–114.8) in 2019, and might fall to 73.16 (95% UI: 67.81–78.51) by 2050. Age-standardized prevalence rates would also reduce to 1830 (95% UI: 1700–1960) by 2050, from 2080 (95% UI: 1870–2310) in 1990 to 1960 (95% UI: 1750–2180) in 2019. In low SDI region, age-standardized DALY rates (equation: Y = 114.05*X + 27.88) and prevalence rates (equation: Y = 3171.1*X + 403.2) were positively correlated with SDI in linear regression respectively. East Asia had the highest blindness rate caused by refraction disorders in terms of age-standardized DALY rates (11.20, 95% UI: 7.38–16.36). Gender inequality was found among different age groups and SDI regions. Conclusion Health burden of refraction disorders decreased in recent years, and may continue to alleviate in the next three decades. Older ages, females and lower socioeconomic status were associated with higher refraction disorders health burden.

scholarly journals Determination of saliva epigenetic age in infancy, and its association with parental socio-economic characteristics and pregnancy outcomes

2020 ◽  
pp. 1-9
Author(s):  
Maja Popovic ◽  
Valentina Fiano ◽  
Elena Isaevska ◽  
Chiara Moccia ◽  
Morena Trevisan ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Linear Regression ◽  
Pregnancy Outcomes ◽  
Positive Association ◽  
Absolute Difference ◽  
Chronological Age ◽  
Linear Regression Models ◽  
Epigenetic Age ◽  
Epigenetic Age Acceleration ◽  
Dna Methylation Age

Abstract Epigenetic age acceleration (AA) has been associated with adverse environmental exposures and many chronic conditions. We estimated, in the NINFEA birth cohort, infant saliva epigenetic age, and investigated whether parental socio-economic position (SEP) and pregnancy outcomes are associated with infant epigenetic AA. A total of 139 saliva samples collected at on average 10.8 (range 7–17) months were used to estimate Horvath’s DNA methylation age. Epigenetic AA was defined as the residual from a linear regression of epigenetic age on chronological age. Linear regression models were used to test the associations of parental SEP and pregnancy outcomes with saliva epigenetic AA. A moderate positive association was found between DNA methylation age and chronological age, with the median absolute difference of 6.8 months (standard deviation [SD] 3.9). The evidence of the association between the indicators of low SEP and epigenetic AA was weak; infants born to unemployed mothers or with low education had on average 1 month higher epigenetic age than infants of mothers with high education and employment (coefficient 0.78 months, 95% confidence intervals [CIs]: −0.79 to 2.34 for low/medium education; 0.96, 95% CI: −1.81 to 3.73 for unemployment). There was no evidence for association of gestational age, birthweight or caesarean section with infant epigenetic AA. Using the Horvath’s method, DNA methylation age can be fairly accurately predicted from saliva samples already in the first months of life. This study did not reveal clear associations between either pregnancy outcomes or parental socio-economic characteristics and infant saliva epigenetic AA.

scholarly journals Distributional Transformation Improves Decoding Accuracy When Predicting Chronological Age From Structural MRI

2020 ◽  
Vol 11 ◽  
Author(s):  
Joram Soch
Keyword(s):  
Linear Regression ◽  
Predictive Analytics ◽  
Human Subjects ◽  
Structural Mri ◽  
Biological Data ◽  
Training Data ◽  
Chronological Age ◽  
Support Vector ◽  
Underlying Distribution ◽  
Decoding Accuracy

When predicting a certain subject-level variable (e.g., age in years) from measured biological data (e.g., structural MRI scans), the decoding algorithm does not always preserve the distribution of the variable to predict. In such a situation, distributional transformation (DT), i.e., mapping the predicted values to the variable's distribution in the training data, might improve decoding accuracy. Here, we tested the potential of DT within the 2019 Predictive Analytics Competition (PAC) which aimed at predicting chronological age of adult human subjects from structural MRI data. In a low-dimensional setting, i.e., with less features than observations, we applied multiple linear regression, support vector regression and deep neural networks for out-of-sample prediction of subject age. We found that (i) when the number of features is low, no method outperforms linear regression; and (ii) except when using deep regression, distributional transformation increases decoding performance, reducing the mean absolute error (MAE) by about half a year. We conclude that DT can be advantageous when predicting variables that are non-controlled, but have an underlying distribution in healthy or diseased populations.

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