scholarly journals Periodontal Disease an Overlooked Chapter in Public Health: A Statistical Analysis

2022 ◽  
pp. 1-6
Author(s):  
Dr. Arpan Sheth ◽  
Ritul Patel ◽  
Shivam Patel
Keyword(s):  
Public Health ◽  
Blood Pressure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Periodontal Disease ◽  
Periodontal Diseases ◽  
Study Data ◽  
Education Level ◽  
Nutrition Examination Survey ◽  
Health And Nutrition

This study aims to find that there is any association between Periodontal diseases with factors like diabetes, depression, blood pressure, age, gender, alcohol, smoking, education level, and obesity. For this study data were taken from National Health and Nutrition Examination Survey (NHANES). From this data various variables are taken and test in SAS 9.4 software for analysis. This study is done on a 3737 sample in which 734 people reported having gum/periodontal disease. Logistic regression analysis was performed with variables. We found a significant association between diabetes, depression, age, smoking, and obesity to have periodontal disease.

scholarly journals The Association of Maternal Accompaniment at Family Dinners and Depressive Symptoms of Korean Adolescents

2020 ◽  
Vol 17 (5) ◽  
pp. 1743
Author(s):  
Jae-Young Lee ◽  
Seul Lee ◽  
Eun-Cheol Park ◽  
Juyeong Kim ◽  
Sung-In Jang
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Female Adolescents ◽  
Nutrition Examination Survey ◽  
Health It ◽  
Korean Adolescents ◽  
Health And Nutrition ◽  
Dinner Table

This study aims to investigate the association between family dinners involving the participation of both mother and her adolescent child and depressive symptoms within the adolescents. Data from 2183 mother–child pairs obtained from the Korea National Health and Nutrition Examination Survey IV–VI (2010–2013, and 2015) were employed in the analysis. The dependent variable of this study was depressive symptom of adolescents. Maternal accompaniment at family dinners was the variable of interest. Logistic regression analysis was performed to calculate odds ratios (ORs) and 95% confidence intervals (CI) to analyze the association between family dinners including both mother and adolescent and depressive symptoms within the adolescent. According to the results, maternal absence in family dinners was significantly associated with higher odds of depressive symptoms in adolescents (OR = 1.42, 95%CI: 1.01–1.99). In particular, the association was strong among adolescents aged 12–15, female adolescents, those with mothers without depressive symptoms, and city dwellers. This study showed that maternal absence at family dinners was strongly associated with depressive symptoms of adolescents. For the sake of adolescent mental health, it may be necessary to consider the implementation of policies that emphasize the importance of maternal accompaniment at family dinners and encourage the presence of mothers at the dinner table.

scholarly journals Association between Cardio-Cerebro Vascular Disease and Depression and Factors Influencing Depression: The Korean National Health and Nutrition Examination Survey in 2014, 2016

2020 ◽  
Vol 27 (4) ◽  
pp. 387-399
Author(s):  
Hee Jung Kim ◽  
Yeoungsuk Song
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Vascular Disease ◽  
Logistic Regression Analysis ◽  
National Health ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Factors Influencing ◽  
Health Related ◽  
Stroke Group

Purpose: In this study investigated the association between cardio-cerebro vascular disease and depression was examined and factors influencing depression in adults with cardio-cerebro vascular disease were identified. The Korean National Health and Nutrition Examination Survey (KNHANES) data (2014, 2016), which is representative of the Korean population was used.Methods: Data on 9,651 people (male 4,148, female 5,503; age≥19 years old from the KNHANES (Ⅵ-2, Ⅷ-1) were analyzed using frequency, percentage, <i>x</i><sup>2</sup> test, and logistic regression analysis. Depression is defined as major depression with doctor diagnosis or Patient Health Questionnaire-9 score ≥10. Ischemic heart disease (IHD)(myocardial infarction or angina) and stroke were defined as a doctor diagnosis.Results: The prevalence of depression was 20.4% in the IHD group and 22.9% in stroke group, which were statistically significant. After adjusting by sociodemographic, health-related, and independent variables in a logistic regression analysis, IHD (OR=1.91, 95% CI 1.36~2.69) and stroke (OR=1.83, 95% CI 1.23~2.72) were associated with depression. In addition, IHD was significantly associated with depression in women, people divorced or separated, current smokers, people with perceived stress, and hypercholesterolemia. In addition, stroke was significantly associated with depression in women, under the age of 65, with perceived stress.Conclusion: The results of this study show that cardio-cerebro vascular disease is associated with the depression and influencing factors on depression were socio-demographic and health-related characteristics. Therefore, intensive management of depression risk factors and development and application of a program reducing depression for patients with cardio-cerebro vascular disease should be developed.

scholarly journals Effect of Breastfeeding and Its Duration on Impaired Fasting Glucose and Diabetes in Perimenopausal and Postmenopausal Women: Korea National Health and Nutrition Examination Survey (KNHANES) 2010–2019

Medicines ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 71
Author(s):  
Byung-Soo Kwan ◽  
In-Ae Cho ◽  
Ji-Eun Park
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Impaired Fasting Glucose ◽  
Logistic Regression Analysis ◽  
National Health ◽  
Fasting Glucose ◽  
Multivariable Logistic Regression Analysis ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Multivariable Logistic Regression

Background and Objectives: To examine the effect of maternal breastfeeding on the subsequent risk of diabetes in parous Korean women aged >50 years. Materials and Methods: A total of 14,433 participants from the Korea National Health and Nutrition Examination Survey (KNHANES) were included. The subjects were divided into three groups: normal, impaired fasting glucose, and diabetes. The adjusted odds ratios (ORs) for impaired fasting glucose (IFG) and diabetes were assessed using multivariate logistic regression. Results: A total of 2301 (15.94%) women were classified as having diabetes, and 3670 (25.43%) women were classified as having impaired fasting glucose. Breastfeeding was associated with an OR for diabetes of 0.76 (95% confidence interval (CI): 0.61, 0.95) compared with non-breastfeeding after adjustment for possible confounders in the multivariable logistic regression analysis. Breastfeeding for 13–24 months was associated with an OR of 0.68 (95% CI, 0.5, 0.91), and breastfeeding for 25–36 months was associated with an OR of 0.68 (95% CI, 0.52, 0.87) for diabetes compared with breastfeeding for <1 month in the multivariable logistic regression analysis. Conclusions: Our results suggest that long-term breastfeeding, particularly breastfeeding for 13–36 months, may be associated with a lower risk for diabetes later in life.

Association between corneal refractive surgery and the prevalence of glaucoma: Korea National Health and Nutrition Examination Survey 2010–2012

2020 ◽  
pp. bjophthalmol-2020-317133
Author(s):  
Jae Shin Song ◽  
Young Bok Lee ◽  
Ji-Ah Kim ◽  
Eun Ji Lee ◽  
Hyunjoong Kim
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
National Health ◽  
Refractive Surgery ◽  
Korean Population ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
History Of ◽  
Corneal Refractive Surgery

AimTo determine the relationship between corneal refractive surgery and the prevalence of glaucoma in the Korean population.MethodsData were obtained from the Korea National Health and Nutrition Examination Survey (KNHANES), a population-based cross-sectional study using a complex, stratified, multistage, probability-cluster survey. This study included 604 eyes that had undergone myopic corneal refractive surgery, and 3389 control eyes without a history of any ocular surgery and having a spherical equivalent (SE) <−3.00 D, obtained from the KNHANES database for the years 2010–2012. Glaucoma diagnosis was based on the International Society of Geographical and Epidemiological Ophthalmology criteria. The association between a history of corneal refractive surgery and the prevalence of glaucoma was analysed using logistic regression analysis, after adjusting for potential confounding factors.ResultsGlaucoma prevalence did not differ between eyes that had and had not undergone corneal refractive surgery (p=0.675). After adjusting for age, sex, SE, and intraocular pressure, multivariate logistic regression analysis found that corneal refractive surgery was significantly associated with an increased risk of glaucoma (OR 9.14, p=0.002; 95% CI 2.22 to 37.69). Subgroup analysis that only included control eyes with a refraction cut-off <−3.70 D found that corneal refractive surgery was not significantly associated with glaucoma.ConclusionsHistory of corneal refractive surgery was associated with a higher prevalence of glaucoma in the Korean population. However, this association was not observed in eyes with a higher degree of myopia.

scholarly journals Association between Chronic Knee Pain and Psychological Stress in Those over 50 Years of Age: A Nationwide Cross-Sectional Study Based on the Sixth Korea National Health and Nutrition Examination Survey (KNHANES 2013–2015)

2021 ◽  
Vol 18 (18) ◽  
pp. 9771
Author(s):  
Sangun Nah ◽  
Seong-San Park ◽  
Sungwoo Choi ◽  
Hae-Dong Jang ◽  
Ji-Eun Moon ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Psychological Stress ◽  
Knee Pain ◽  
Cross Sectional Study ◽  
Nutrition Examination Survey ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Chronic Knee Pain

Chronic knee pain (CKP) can degrade the quality of life and cause dysfunction, resulting in the loss of independence. Psychological stress not only affects physical and mental health but is also a risk factor for CKP. In this cross-sectional study, we analyzed data from the sixth Korea National Health and Nutrition Examination Survey (2013–2015), and investigated the association between CKP and psychological stress of the Korean general population. The CKP status was determined based on survey responses of self-reported knee pain lasting for more than 30 days during the last 3 months. Psychological stress was classified as none, mild, moderate, or severe. The association between CKP and psychological stress was analyzed using multiple logistic regression analysis considering co-variables and demographic data. Logistic regression analysis adjusting for co-variables indicated that the risk of CKP increased with an increasing degree of stress, from mild (OR = 1.65, 95% CI 1.35–2.03, p < 0.001) to moderate (OR = 2.00, 95% CI 1.56–2.57, p < 0.001) and severe (OR = 3.02, 95% CI 2.08–4.37, p < 0.001). A significant association between the risk of CKP and psychological stress was identified. Therefore, when evaluating patients with CKP, it may be helpful for clinicians to check the degree of stress.

scholarly journals Association between height and hypertension among US adults: analyses of National Health and Nutrition Examination Survey 2007–18

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Rajat Das Gupta ◽  
Maxwell Akonde ◽  
Ibrahim Hossain Sajal ◽  
Gulam Muhammed Al Kibria
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Linear Regression ◽  
National Health ◽  
Odds Ratio ◽  
Uncontrolled Hypertension ◽  
Inverse Association ◽  
Nutrition Examination Survey ◽  
Regression Analyses ◽  
Health And Nutrition

Abstract Background Previous studies that investigated association of height with prevalence and control of hypertension found mixed results. This cross-sectional study explored these associations among US adults (≥20 years). Methods The National Health and Nutrition Examination Survey (NHANES) 2007–18 data was analyzed. Height was measured in meters and was converted into centimeters (cm) and was further divided into quartiles: Q1 (135.3–159.2 cm), Q2 (159.3–166.2 cm), Q3 (166.3–173.6 cm), Q4 (173.7–204.5 cm). Hypertension definition of the ‘2017 American College of Cardiology/American Heart Association Guideline’ was used. Logistic regression analyses were conducted to find out the association between the dependent variable and the covariates. Linear regression analyses were conducted to find out the association of height with systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and the covariates among the individuals who were not taking any antihypertensive drugs. Crude odds ratio, adjusted odds ratio (AOR), and adjusted beta-coefficient (for linear regression) with 95% confidence interval (CI) were reported. The following covariates were included: age, gender, race/ethnicity, family income, education level, cholesterol level, high-density lipoprotein level, chronic kidney disease status, diabetes status, smoker, aerobic leisure-time physical activity, and survey period. Sample weight of NHANES was adjusted. Results Among the 21,935 participants (47.1% males), the prevalence of hypertension was 46.1%. Among 6154 participants taking medication (43.0% males), 57.2% had uncontrolled hypertension. In the final logistic regression analyses, participants in Q2 height quartile had 20% lower odds of being hypertensive compared to those in Q4 height quartile (AOR: 0.8; 95% CI: 0.7,1.0). Other height categories did not reveal any significant association. Compared to Q4 height category, Q1 (AOR: 1.7; 95% CI: 1.2,2.3), Q2 (AOR: 1.4; 95% CI: 1.1,1.8), and Q3 (AOR: 1.3; 95% CI: 1.1,1.6) height categories had higher odds of uncontrolled hypertension. PP was inversely associated and DBP was positively associated with height. Conclusions Although height was not associated with prevalence of hypertension, it had inverse association with uncontrolled hypertension. It was also significantly associated with DBP and PP among the individuals with untreated hypertension.

scholarly journals Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4–7th Korea National Health and Nutrition Examination Survey

2021 ◽  
Vol 18 (11) ◽  
pp. 5597
Author(s):  
Hyerim Kim ◽  
Dong Hoon Lim ◽  
Yoona Kim
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Decision Tree ◽  
Prediction Accuracy ◽  
Nutritional Intake ◽  
Nutrition Examination Survey ◽  
Learning Models ◽  
Health And Nutrition ◽  
Machine Learning Models

Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present study aims to classify and predict associations between nutritional intake and risk of overweight/obesity, dyslipidemia, hypertension and T2DM by developing a DNN model, and to compare a DNN model with the most popular machine learning models such as logistic regression and decision tree. Subjects aged from 40 to 69 years in the 4–7th (from 2007 through 2018) Korea National Health and Nutrition Examination Survey (KNHANES) were included. Diagnostic criteria of dyslipidemia (n = 10,731), hypertension (n = 10,991), T2DM (n = 3889) and overweight/obesity (n = 10,980) were set as dependent variables. Nutritional intakes were set as independent variables. A DNN model comprising one input layer with 7 nodes, three hidden layers with 30 nodes, 12 nodes, 8 nodes in each layer and one output layer with one node were implemented in Python programming language using Keras with tensorflow backend. In DNN, binary cross-entropy loss function for binary classification was used with Adam optimizer. For avoiding overfitting, dropout was applied to each hidden layer. Structural equation modelling (SEM) was also performed to simultaneously estimate multivariate causal association between nutritional intake and overweight/obesity, dyslipidemia, hypertension and T2DM. The DNN model showed the higher prediction accuracy with 0.58654 for dyslipidemia, 0.79958 for hypertension, 0.80896 for T2DM and 0.62496 for overweight/obesity compared with two other machine leaning models with five-folds cross-validation. Prediction accuracy for dyslipidemia, hypertension, T2DM and overweight/obesity were 0.58448, 0.79929, 0.80818 and 0.62486, respectively, when analyzed by a logistic regression, also were 0.52148, 0.66773, 0.71587 and 0.54026, respectively, when analyzed by a decision tree. This study observed a DNN model with three hidden layers with 30 nodes, 12 nodes, 8 nodes in each layer had better prediction accuracy than two conventional machine learning models of a logistic regression and decision tree.

scholarly journals The association between serum copper concentrations and elevated blood pressure in US children and adolescents: National Health and Nutrition Examination Survey 2011–2016

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Changsong Liu ◽  
Yanfen Liao ◽  
Zongyuan Zhu ◽  
Lili Yang ◽  
Qin Zhang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Children And Adolescents ◽  
National Health ◽  
Serum Copper ◽  
Elevated Blood Pressure ◽  
Nutrition Examination Survey ◽  
Elevated Blood ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Us Children

Abstract Background Copper is an essential trace metal with potential interest for cardiovascular effects. Few studies have explored the association between copper and blood pressure in children and adolescents. Method We conducted a cross-sectional analysis of 1242 children and adolescents aged 8–17 years who participated in the 2011 to 2016 National Health and Nutrition Examination Survey. Using 2017 American Academy of Pediatrics guidelines, elevated blood pressure (EBP) was defined as a mean systolic and/or diastolic blood pressure (BP) ≥ 90th percentile for sex, age, and height for children aged 1–12 years and systolic BP ≥ 120 mmHg or diastolic BP ≥ 80 mmHg for adolescent age 13–17 years. Mean serum copper was 114.17 μg/dL. Results After multiple adjustments, dose–response analyses revealed that EBP was associated with progressively higher serum copper concentrations in a nonlinear trend. In comparison with the lowest quartile of serum copper concentrations, the adjusted odds of EBP for the highest quartile was 5.26 (95% confidence interval, 2.76–10.03). Conclusion Our results suggested that high serum copper concentrations were significantly associated with EBP in US children and adolescents.

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