scholarly journals Processing speed is affected by early impairment in kidney function in the general elder population

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Tomas Månsson ◽  
Sölve Elmståhl
Keyword(s):  
Kidney Function ◽  
Processing Speed ◽  
Regression Models ◽  
Neuropsychological Test ◽  
Population Based ◽  
Linear Regression Models ◽  
Cognitive Domains ◽  
The Impact ◽  
Elder Population

Abstract Background Chronic kidney disease, cardiovascular disease, and cognitive dysfunction are common in the elder population. There is evidence of a connection between these conditions, possibly by a shared vascular pathogenesis. Processing speed is commonly impaired in cerebrovascular disease. Methods The data was obtained from the population based study “Good aging in Skåne” (GÅS), and included 905 individuals (mean age = 68 years). We investigated the impact of impaired kidney function at baseline on the development of dementia, MCI, and impairment in specific cognitive domains at follow up 6 years later, using logistic regression models. Impaired kidney function was defined as GFR < 60 ml/min/1,73 m2. GFR was estimated from creatinine and cystatin C, using the CKD-EPI formula. Function in the cognitive domains learning and memory, language, complex attention, executive function, perceptual-motor, as well as meta-memory, and global cognitive function, was assessed using a neuropsychological test battery consisting of 12 tests. We compared the test results from follow up, with the results obtained at baseline, using linear regression models in order to assess changes in performance in cognitive domains. Results At follow up, 14 and 158 participants had developed dementia and MCI, respectively. We did not find evidence that moderately impaired eGFR at baseline increased the odds of dementia or MCI. A decline in processing speed was associated with impaired kidney function. Conclusions The effect on processing speed could represent early vascular implications on cognition. Even at moderately impaired kidney function, overview of cardiovascular risk factors could potentially prevent further cognitive impairment.

scholarly journals Serum uromodulin and decline of kidney function in older participants of the population-based KORA F4/FF4 study

2020 ◽  
Author(s):  
Cornelia Then ◽  
Holger L Then ◽  
Andreas Lechner ◽  
Barbara Thorand ◽  
Christa Meisinger ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Kidney Function ◽  
Predictive Value ◽  
Population Based ◽  
Linear Regression Models ◽  
Operating Characteristics ◽  
Incident Chronic Kidney Disease ◽  
Adjusted Model ◽  
Kidney Function Decline

Abstract Background Uromodulin, a tissue-specific tubular glycoprotein, has recently emerged as a promising biomarker for kidney function and tubular integrity. However, the association of serum uromodulin (sUmod) with renal function decline is still unknown in an older general population. Methods We analysed the association of sUmod with the estimated glomerular filtration rate (eGFR) and albuminuria in 1075 participants of the population-based Cooperative Health Research in the Region of Augsburg (KORA) F4 study, ages 62–81 years, at baseline and prospectively after a mean follow-up time of 6.5 years (n = 605) using logistic and linear regression models as well as receiver operating characteristics (ROC) analyses. Results Cross-sectionally, sUmod was positively associated with eGFR (β = 0.31 ± 0.02 per higher standard deviation sUmod; P &lt; 0.001) and inversely associated with the urinary albumin:creatinine ratio (β = −0.19 ± 0.04; P &lt; 0.001) after adjustment for sex, age, body mass index, arterial hypertension, prediabetes and diabetes. After multivariable adjustment including baseline eGFR, sUmod was not associated with incident chronic kidney disease (CKD), defined as a decrease in eGFR &lt;60 mL/min/1.73 m2 after 6.5 years of follow-up {odds ratio [OR] 1.02 [95% confidence interval (CI) 0.77–1.36] per higher SD sUmod} but was inversely associated with advanced CKD, defined as incident eGFR &lt;45 mL/min/1.73 m2 [OR 0.64 (95% CI 0.42–0.98)]. The ROC showed no added predictive value of sUmod for kidney function decline in the fully adjusted model. Conclusions Higher sUmod was inversely associated with progression to advanced kidney disease but does not provide additional predictive value for the development of CKD in elderly participants of the population-based KORA study.

scholarly journals Cystatin C predicts renal function impairment after partial or radical tumor nephrectomy

2021 ◽  
Author(s):  
Mike Wenzel ◽  
Hang Yu ◽  
Annemarie Uhlig ◽  
Christoph Würnschimmel ◽  
Manuel Wallbach ◽  
...  
Keyword(s):  
Renal Function ◽  
Linear Regression ◽  
Kidney Function ◽  
Cystatin C ◽  
Regression Models ◽  
Linear Regression Models ◽  
Renal Function Impairment ◽  
Blind Area ◽  
Function Impairment

Abstract Purpose To test the value of preoperative and postoperative cystatin C (CysC) as a predictor on kidney function after partial (PN) or radical nephrectomy (RN) in renal cell carcinoma (RCC) patients with normal preoperative renal function. Methods From 01/2011 to 12/2014, 195 consecutive RCC patients with a preoperative estimated glomerular filtration rate (eGFR) > 60 ml/min/1.73m2 underwent surgical RCC treatment with either PN or RN. Logistic and linear regression models tested for the effect of CysC as a predictor of new-onset chronic kidney disease in follow-up (eGFR < 60 ml/min/1.73m2). Moreover, postoperative CysC and creatinine values were compared for kidney function estimation. Results Of 195 patients, 129 (66.2%) underwent PN. In postoperative and in follow-up setting (median 14 months, IQR 10–20), rates of eGFR < 60 ml/min/1.73m2 were 55.9 and 30.2%. In multivariable logistic regression models, preoperative CysC [odds ratio (OR): 18.3] and RN (OR: 13.5) were independent predictors for a reduced eGFR < 60 ml/min/1.73m2 in follow-up (both p < 0.01), while creatinine was not. In multivariable linear regression models, a difference of the preoperative CysC level of 0.1 mg/dl estimated an eGFR decline in follow-up of about 5.8 ml/min/1.73m2. Finally, we observed a plateau of postoperative creatinine values in the range of 1.2–1.3 mg/dl, when graphically depicted vs. postoperative CysC values (‘creatinine blind area’). Conclusion Preoperative CysC predicts renal function impairment following RCC surgery. Furthermore, CysC might be superior to creatinine for renal function monitoring in the early postoperative setting.

scholarly journals Evaluation of One Egg per Day on Iron and Anemia Status Among Young Malawian Children: A Randomized Controlled Trial

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 697-697
Author(s):  
Rochelle Werner ◽  
Charles Arnold ◽  
Bess Caswell ◽  
Lora Iannotti ◽  
Chessa Lutter ◽  
...  
Keyword(s):  
Iron Deficiency ◽  
Linear Regression ◽  
Iron Deficiency Anemia ◽  
Regression Models ◽  
Deficiency Anemia ◽  
Linear Regression Models ◽  
And Control ◽  
The Impact ◽  
Prevalence Of Anemia

Abstract Objectives Young children with complementary feeding diets that lack diversity and have low micronutrient density are at risk of iron deficiency anemia. Our objectives were to determine the impact of supplementing diets with 1 egg/day on: (1) plasma ferritin, soluble transferrin receptor (sTfR), and hemoglobin (Hb) concentrations; and (2) the prevalence of iron deficiency (ID), anemia, and iron deficiency anemia (IDA). Methods Children age 6–9mo in the Mangochi District of Malawi were individually randomized to receive 1 egg/day for 6mo (n = 331) or continue their usual diet (n = 329). Venous blood samples were collected at enrollment and a 6mo follow-up by assessors masked to group assignment. Plasma ferritin, sTfR, c-reactive protein (CRP), and α1-acid glycoprotein (AGP) were assessed using ELISA and hemoglobin was measured using Hemocue analyzers. Ferritin and sTfR were corrected for inflammation using CRP and AGP in linear regression models. Ferritin, sTfR, and hemoglobin concentrations were compared between groups using linear regression models, adjusting for baseline values. The prevalence ratios (PR) of ID (fer &lt; 12μg/L,  sTfR &gt;8.3mg/L,  or total body iron&lt; 0mg/kg),  anemia (Hb&lt; 11g/dL),  and IDA (Hb &lt; 11g/dL and ID) were compared between egg and control groups using binomial or Poisson regression models. Results A total of 585 children were included in this analysis (Egg: n = 286; Control: n = 299). At enrollment, the prevalence of anemia and IDA was 61% and 55%. At the 6mo follow-up, there was no difference between groups in inflammation-adjusted ferritin (geometric mean [95% CI]; Egg: 6.52µg/L [5.98,7.10];  Control: 6.82 [6.27, 7.42]) or sTfR (Egg: 11.34mg/L [10.92,11.78];  Control:  11.46 [11.04,11.89]) concentrations. There was also no difference in mean hemoglobin concentration between groups (mean [95%CI]; Egg: 11.0g/L [10.8,11.1];  Control:11.1 [11.0,11.3]). Overall, 43% of children had anemia, 89% had ID, and 40% had IDA. No group-level differences were observed in the prevalence of anemia [PR: 1.15 (95% CI: 0.96, 1.38)], ID [PR: 0.99 (0.94, 1.05)], or IDA [PR: 1.12 (0.92, 1.36)]. Conclusions Iron and anemia indices did not differ between the egg intervention group and control group. Other interventions are needed to address the high prevalence of iron deficiency and anemia among young, Malawian children. Funding Sources Bill & Melinda Gates Foundation.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

scholarly journals Starchy Vegetables and Metabolic Syndrome in Costa Rica

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1639
Author(s):  
Zhongyao Li ◽  
Dongqing Wang ◽  
Edward A. Ruiz-Narváez ◽  
Karen E. Peterson ◽  
Hannia Campos ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Regression Models ◽  
Fasting Blood Glucose ◽  
Population Based ◽  
Cross Sectional Study ◽  
Costa Rican ◽  
Least Square ◽  
Inverse Association ◽  
Linear Regression Models ◽  
Cross Sectional

Only a few studies primarily examined the associations between starchy vegetables (other than potatoes) and metabolic syndrome (MetS). We aimed to evaluate the association between starchy vegetables consumption and MetS in a population-based sample of Costa Rican adults. We hypothesized that a higher overall intake of starchy vegetables would not be associated with higher MetS prevalence. In this cross-sectional study, log-binomial regression models were used to estimate prevalence ratios (PRs) of MetS across quintiles of total, unhealthy, healthy starchy vegetables, and individual starchy vegetables (potatoes, purple sweet potatoes, etc.), among 1881 Costa Rican adults. Least square means and 95% confidence intervals (CIs) from linear regression models were estimated for each MetS component by categories of starchy vegetable variables. Higher intakes of starchy vegetables were associated with a higher prevalence of MetS in crude models, but no significant trends were observed after adjusting for confounders. A significant inverse association was observed between total starchy and healthy starchy vegetables consumption and fasting blood glucose. In this population, starchy vegetables might be part of a healthy dietary pattern.

scholarly journals Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 299
Author(s):  
Jaime Pinilla ◽  
Miguel Negrín
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Trend ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Linear Regression Models ◽  
Non Linear ◽  
Nonlinear Trends ◽  
The Impact ◽  
Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

scholarly journals S19 The impact of clotting abnormalities on the natural history of idiopathic pulmonary fibrosis: an extended follow up of a population based cohort

Thorax ◽  
2016 ◽  
Vol 71 (Suppl 3) ◽  
pp. A13.1-A13
Author(s):  
V Navaratnam ◽  
AW Fogarty ◽  
T McKeever ◽  
N Thompson ◽  
G Jenkins ◽  
...  
Keyword(s):  
Natural History ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Population Based ◽  
History Of ◽  
The Impact

Relationship Between Mental Health, Resilience, and Physical Activity in Older Adults: A 2-Year Longitudinal Study

2021 ◽  
pp. 1-9
Author(s):  
Maria Priscila Wermelinger Ávila ◽  
Jimilly Caputo Corrêa ◽  
Alessandra Lamas Granero Lucchetti ◽  
Giancarlo Lucchetti
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Older Adults ◽  
Regression Models ◽  
Linear Regression Models ◽  
Physically Active ◽  
Effective Interventions ◽  
Self Sufficiency ◽  
The Relationship

The aim of this study was to longitudinally investigate the association between resilience and mental health in older adults and to determine the influence of physical activity on this relationship. A total of 291 older adults were included in a 2-year follow-up study. Adjusted linear regression models evaluated the association between resilience at baseline and mental health after 2 years in sufficiently and insufficiently physically active older adults. A negative correlation was found between resilience at baseline and depression, anxiety, and stress after 2 years for the overall sample. This association changed after stratifying the group. Sufficiently physically active individuals made greater use of the resilience components “Self-Sufficiency” and “Perseverance,” whereas insufficiently physically active individuals made greater use of “Meaning of Life” and “Existential Singularity.” Physical activity can influence the relationship between resilience and mental health. These results can help guide the devising of more effective interventions for this age group.

scholarly journals Impact of foreign direct investment on economic growth in the world during 1975–2015

2018 ◽  
Vol 20 (91) ◽  
pp. 28-32
Author(s):  
B. B. Brychka
Keyword(s):  
Economic Growth ◽  
Literature Review ◽  
Regression Models ◽  
Trade Openness ◽  
Positive Influence ◽  
Linear Regression Models ◽  
Average Value ◽  
Gdp Growth Rate ◽  
The World ◽  
The Impact

The study is concentrated on examination the impact of FDI on economic growth in the World during 1975–2015. The study consists of four consecutive parts, including introduction, literature review, model and methodology, data, empirical results and conclusion. Each part of the study is focused on its own goals. According to the results of the literature review, there is positive influence of FDI on economic growth in various countries. Economic growth is one of the most important goals of any country. The country image on the international level is dependent on its economic power. Economic growth provides an opportunity to improve the living standards in the country. Most researchers conclude that there is a positive influence of FDI on the countries’ economic growth. However, the impact of FDI is strong in developing countries. Moreover, this relationship is stronger in countries with higher educational and technological level, trade openness and development of the countries’ stock markets. Economists often build regression models to estimate the relationship between the variables. In order to find the impact of FDI on economic growth, we are going to apply linear regression models. We take two variables as indicators of the countries’ economic growth, including current GDP expressed in U.S dollars, and annual GDP growth rate. Taking into account that the World’s GDP in current U.S dollar is a factor variable with the mentioned resulting variables, the regression equation looks as follows: The R-squared of the built model is 0.99, indicating that roughly 100% of changes in the World’s GDP is caused by the chosen factors. As it is seen from the SAS output, the residuals of dependent variable and factors variables are distributed normally among its average value. Thus, non-normality is not observed in the model. Taking into account the coefficients of the factor variables, the log GDP is most sensitive to the changes in trade as a percent of GDP. The log GDP is not quite sensitive to the changes in FDI, since the coefficient of 0.000128 means that increasing of FDI by one unit increase the logarithmic value of GDP by $ 0.000128.

scholarly journals Delirium symptoms are associated with decline in cognitive function between ages 53 to 69: findings from a British birth cohort study

2017 ◽  
Author(s):  
A Tsui ◽  
D Kuh ◽  
M Richards ◽  
D Davis
Keyword(s):  
Birth Cohort ◽  
Verbal Memory ◽  
Regression Models ◽  
Cognitive Outcomes ◽  
Birth Cohort Study ◽  
Linear Regression Models ◽  
Cognitive Domains ◽  
Time Period ◽  
Search Speed ◽  
Addenbrooke’S Cognitive Examination

AbstractINTRODUCTIONFew population studies have investigated whether longitudinal decline after delirium in mid-to-late life might affect specific cognitive domains.METHODSParticipants from a birth cohort completing assessments of search speed, verbal memory and the Addenbrooke’s Cognitive Examination at age 69 were asked about delirium symptoms between ages 60-69. Linear regression models estimated associations between delirium symptoms and cognitive outcomes.RESULTSPeriod prevalence of delirium between 60 and 69 was 4% (95% CI 3.2%,4.9%). Self-reported symptoms of delirium over the seventh decade were associated with worse scores in the Addenbrooke’s Cognitive Examination (−1.7 points, 95% CI −3.2, −0.1, p=0.04). In association with delirium symptoms, verbal memory scores were initially lower, with subsequent decline in search speed by age 69. These effects were independent of other Alzheimer’s risk factors.DISCUSSIONDelirium symptoms may be common even at relatively younger ages, and their presence may herald cognitive decline, particularly in search speed, over this time period.

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