scholarly journals A high triglyceride glucose index is more closely associated with hypertension than lipid or glycemic parameters in elderly individuals: a cross-sectional survey from the Reaction Study.

2020 ◽  
Author(s):  
Binruo Zhu ◽  
Jie Wang ◽  
Kang Chen ◽  
Wenhua Yan ◽  
Anping Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Cross Sectional Survey ◽  
Discriminative Ability ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Reaction Study ◽  
Tyg Index ◽  
Risk Of Cancer

Abstract Background: Both lipid and glucose abnormalities are associated with hypertension (HTN). However, it is unclear whether the triglyceride-glucose (TyG) index is associated with HTN. Therefore the aim of this study is to investigate the association of the TyG index and HTN and to compare the discriminative power of the TyG index, lipid, glycemic parameters for the risk of HTN in elderly individuals.Methods: The present study was nested in a longitudinal (REACTION) study from May 2011 to December 2011, which was designed to demonstrate the association of abnormal glucose metabolism with the risk of cancer in the Chinese population. In total, 47808 participants were recruited in this cross-sectional study. The TyG index was divided into five groups: the <20% group, the 20-39% group, the 40-59% group, the 60-79% group and the ≥80% group, according to quintile division of the subjects. Three multivariate logistic regression models were used to evaluate the association between the TyG vs. lipid parameters, glycemic parameters and HTN.Results: Multivariate logistic regression analysis shows that compared with lipid and glycemic parameters, the TyG index remains significantly associated with HTN in either total subjects or subjects separated into men and women (odds ratio (OR) 1.33, 95% confidence interval (CI) 1.18-1.51, p <0.0001 in total subjects; OR 1.39, 95% CI 1.11-1.74, p=0.0042 in men; OR 1.28, 95% CI 1.11-1.49, p=0.0010 in women). In a stratified analysis, an elevated TyG index is significantly associated with HTN in the subgroup of the oldest age (≥65) (OR 1.67, 95% CI 1.30-2.14, p <0.0001), as well as with obesity (Body mass index (BMI) ≥28 kg/m2) (OR 1.85, 95% CI 1.29-2.66, p=0.0009) or lower estimated glomerular filtration rate (eGFR) (<90 mL/ (min·1.73 m2)) (OR 1.72, 95% CI 1.33-2.21, p <0.0001).Conclusion: The TyG index is significantly associated with HTN and shows the superior discriminative ability for HTN compared with lipid and glycemic parameters in the Chinese elderly population.

scholarly journals High triglyceride glucose index is more closely associated with hypertension than lipid or glycemic parameters in elderly individuals: a cross-sectional survey from the Reaction Study.

2020 ◽  
Author(s):  
Binruo Zhu ◽  
Jie Wang ◽  
Kang Chen ◽  
Wenhua Yan ◽  
Anping Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Cross Sectional Survey ◽  
Discriminative Ability ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Reaction Study ◽  
Tyg Index ◽  
Risk Of Cancer

Abstract Background: Both lipid and glucose abnormalities are associated with hypertension (HTN). However, it is unclear whether triglyceride-glucose (TyG) index is associated with HTN. Therefore, the aim of this study is to investigate the association of TyG index and HTN and compare the discriminative power of TyG index, lipid, glycemic parameters for the risk of HTN in the elderly individuals.Methods: The present study was nested in a longitudinal (REACTION) study from May 2011 to December 2011, which was designed to demonstrate the association of abnormal glucose metabolism with the risk of cancer in the Chinese population. 43591 participants were recruited in this cross-sectional study. TyG index were divided into 5 groups: <20% group, the 20-39% group, the 40-59% group, the 60-79% group and the ≥80% group according quartile division of the subjects. Three multivariate logistic regression models were used to evaluate the association between TyG v.s lipid parameters, glycemic parameters and HTN.Results: Multivariate logistic regression analysis shows that compared with lipid and glycemic parameters, TyG index remains significantly associated with HTN in either total subjects or subjects separated into men and women (odds ratio (OR) 1.33, 95% confidence interval (CI) 1.18-1.51, p <0.0001 in total subjects; OR 1.39, 95% CI 1.11-1.74, p=0.0042 in men; OR 1.28, 95% CI 1.11-1.49, p=0.0010 in women). In stratified analysis, elevated TyG index is significantly associated with HTN in the subgroup of oldest age (≥65) (OR 1.67, 95% CI 1.30-2.14, p <0.0001), obesity (Body mass index (BMI) ≥28 kg/m2) (OR 1.85, 95% CI 1.29-2.66, p 0.0009) or lower estimated glomerular filtration rate (eGFR) (<90 mL/ (min·1.73 m2)) (OR 1.72, 95% CI 1.33-2.21, p <0.0001).Conclusion: TyG index is significantly associated with HTN and shows the superior discriminative ability for HTN compared with lipid and glycemic parameters in the Chinese elderly population.

scholarly journals Factors Associated With Prescribed Antenatal Care Utilization: A Cross-Sectional Study in Eastern Rural China

2019 ◽  
Vol 56 ◽  
pp. 004695801986543 ◽  
Author(s):  
Hua You ◽  
Ting Yu ◽  
Hai Gu ◽  
Yun Kou ◽  
Xin-peng Xu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Rural Women ◽  
Rural China ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Care Utilization ◽  
Multivariate Logistic Regression ◽  
Cross Sectional Survey ◽  
Cross Sectional

With relatively sufficient antenatal health service supplies in eastern rural China, the utilization still needs to be improved. The objective of this study was to identify factors that correlate with antenatal care (ANC) utilization from the demand-side in Jiangsu, China. In a cross-sectional survey, a sample of 896 rural women who had a childbearing history in the previous 5 years answered ANC questions and formed the final analysis. Questionnaire was designed based on Andersen’s behavioral model. The outcome variables included receiving times and items of prescribed ANC utilization, and the explanatory variables were organized into 3 hierarchical levels: predisposing, enabling, and need factors. Univariate analysis and multivariate logistic regression analysis were conducted. In the results of multivariate logistic regression, factors significantly associated with ANC examination times included income, odds ratio (OR) (95% confidence interval [CI]) = 2.90 (1.92-4.39); the distance from the nearest hospital, OR (95% CI) = 0.67 (0.47-0.95); chronic disease, OR (95% CI) = 1.77 (1.15-2.72); and parity, OR (95% CI) = 0.66 (0.46-0.95), while factors significantly associated with ANC examination items included education, OR (95% CI) = 8.02 (1.08-59.67); income, OR (95% CI) = 3.90 (1.72-8.85); female medical staff in towns and villages, OR (95% CI) = 2.64 (1.39-5.02); and parity, OR (95% CI) = 0.41 (0.23-0.75). In reducing inadequate ANC utilization in rural area, efforts should be made not only to target the rural women with lower income, lower educational level, and multi-parity, but also to further improve the accessibility of the primary medical facilities and female staff at the grassroots level.

scholarly journals Survey of Pretreatment HIV Drug Resistance and The Genetic Transmission Networks Among HIV-Infected Individuals in Southwestern China, 2014-2020

2021 ◽  
Author(s):  
Xiaoshan Xu ◽  
Liuhong Luo ◽  
Chang Song ◽  
Jianjun Li ◽  
Huanhuan Chen ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Logistic Regression ◽  
Antiretroviral Therapy ◽  
Multivariate Logistic Regression Analysis ◽  
Southwestern China ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Genetic Transmission ◽  
Logistic Regression Models ◽  
Hiv Antiretroviral Therapy

Abstract Background Pretreatment drug resistance (PDR) can limit the effectiveness of HIV antiretroviral therapy (ART). The aim of this study was to assess the prevalence of PDR among HIV-infected individuals that initiated antiretroviral therapy in 2014–2020 in southwestern China. Methods Consecutive cross-sectional surveys were conducted in Qinzhou, Guangxi. We obtained blood samples from individuals who were newly diagnosed with HIV in 2014–2020. PDR and genetic networks analyses were performed by HIV-1 pol sequences by using the Stanford HIV-database algorithm and HIV-TRACE, respectively. Univariate and multivariate logistic regression models were used to explore the potential factors associated with PDR. Results In total, 3236 eligible patients were included. The overall prevalence of PDR was 6.0% (194/3236). The PDR frequency to NNRTI (3.3%) was much higher than that to NRTI (1.7%) and PI (1.2%) (p < 0.0001). A multivariate logistic regression analysis revealed that PDR was significantly higher among individuals aged 18–29 (adjusted Odds Ratio (aOR):1.79, 95% CI: 1.28–2.50) or 30–49 (aOR: 2.82, 95% CI: 1.73–4.82), and infected with CRF08_BC (aOR: 3.23, 95% CI: 1.58–6.59). A total of 1429 (43.8%) sequences were linked forming transmission clusters ranging in size from 2 to 119 individuals. Twenty-two individuals in 10 clusters same drug resistant mutations (DRMs), mostly to NNRTIs (50%, 5/10). Conclusions The overall prevalence of PDR was medium, numerous cases of the same DRMs among genetically linked individuals in networks further illustrated the importance of surveillance studies for mitigating PDR.

scholarly journals Serum albumin was negatively associated with diabetic peripheral neuropathy in Chinese population: a cross-sectional study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Pijun Yan ◽  
Qian Tang ◽  
Yuru Wu ◽  
Qin Wan ◽  
Zhihong Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Peripheral Neuropathy ◽  
Serum Albumin ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Chinese Patients ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Abstract Background Previous studies that explored the relationship of serum albumin with diabetic peripheral neuropathy (DPN) have indicated inconsistent results. Thus, the present study aimed to evaluated the association between serum albumin and DPN, defined as vibration perception threshold (VPT) values ≥ 25 V and/or inability to feel the monofilament, in Chinese patients with type 2 diabetes mellitus (T2DM). Methods 1465 T2DM patients aged ≥ 16 years, who completed the measurement of serum albumin and DPN screening between 2012 and 2015, were included in the cross-sectional study. Correlation and multivariate logistic regression analysis models were used to evaluate the possible relationship between serum albumin and DPN. Results Patients with higher quartiles of serum albumin had significantly lower VPT values and prevalence of DPN compared with those with lower quartiles (P for trend < 0.01), and there was an inverse relationship between serum albumin and VPT values and prevalence of DPN (all P < 0.01). Multivariate logistic regression analysis demonstrated that the risk of DPN was progressively decreased across serum albumin quartiles (P for trend < 0.01), and participants in the highest quartile of serum albumin were at a significantly decreased risk of DPN compared to those in the lowest quartile (odds rate: 0.311, 95% confidence intervals 0.134–0.724, P < 0.01). ROC analysis revealed that the optimal cutoff point of serum albumin for the prevalence of DPN was 39.95 g/L in patients with T2DM, with a sensitivity of 65.88% and a specificity of 66.7%. Conclusions Decreased levels of serum albumin might be correlated with increased risk of DPN in Chinese patients with T2DM. Future longitudinal studies with large samples are warranted to confirm our findings, and elucidate putative mechanisms for the association.

scholarly journals Atrial fibrillation and geriatric syndromes: an association beyond traditional risk factors

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
D J C P Cataneo ◽  
A P N R Navarrete ◽  
L A L O Lasses ◽  
J E C A Cossio
Keyword(s):  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Cognitive Impairment ◽  
Depressive Symptoms ◽  
Functional Disability ◽  
Multivariate Logistic Regression Analysis ◽  
Geriatric Syndromes ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Severe Cognitive Impairment

Abstract Objectives Atrial fibrillation (AF) is particularly frequent in nonagenarian patients, in whom geriatric syndromes (GS) are also often present and may interfere with treatment decision-making and impact prognosis. Previous work has identified an association between AF and GS in older adults; however, available data is limited for nonagenarian patients and other possibly associated factors. Therefore, this study aims to describe the association between AF and GS in nonagenarian patients. Methods This is a cross-sectional study of 205 nonagenarian patients followed in a third-level hospital's Geriatric Cardiology Clinic. Sociodemographic factors, comorbidities, and GS were investigated. To determine the association between AF and GS, multivariate logistic regression analyses were carried out, taking into account other correlations. Results The mean age of participants was 92.56 (SD 2.39) years; 124 (60.5%) were women. AF was present in 30.7% of participants. Most common GS were sarcopenia (77.6%), risk of malnutrition or malnutrition (69.8%), frailty (52.2%), depressive symptoms (45.9%), cognitive impairment (27.3%), and severe disability for activities of daily living (25.4%). In the multivariate logistic regression analysis, AF was independently associated with frailty (OR 2.57; CI 95% 1.32–5.01; p=0.006), malnutrition (OR 1.95; CI 95% 1.3–8, p=0.045), moderate to severe cognitive impairment (OR 2.15; CI 95% 1.11–4.14; p=0.023), and depressive symptoms (OR 5.84; CI 95% 1.16–4.12, p=0.016). Conclusions AF is independently associated with frailty, malnutrition, depressive symptoms, moderate to severe cognitive impairment and severe functional disability in nonagenarian patients. FUNDunding Acknowledgement Type of funding sources: None.

scholarly journals A predictive nomogram: a cross-sectional study on a simple-to-use model for screening 12-year-old children for severe caries in middle schools

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaoying Duan ◽  
Meng Li ◽  
Jialiang Zhao ◽  
Huiyu Yang ◽  
Jinfeng He ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Validation ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Dental Professionals

Abstract Background A nomogram is a tool that transforms complex regression equations into simple and visual graphs and enables clinicians and patients to conveniently compute output probabilities without needing medical knowledge and complex formulas. The aim of this study was to develop and validate a predictive nomogram to screen for severe caries among 12-year-old children based on risk factors in Sichuan Province, China. Methods A cross-sectional study of 4573 12-year-olds was conducted up to May 2016 in middle schools from three districts and three counties in Sichuan Province, China. All the children underwent oral examinations and completed questionnaires to assess general information, oral impacts on daily performance, dietary habits, subjective health conditions, history of dental trauma, frequency of toothache, dental visits, and knowledge, attitudes, and behaviours toward oral hygiene. Univariate analysis and multivariate logistic regression analysis were used to determine which variables were significantly associated with severe caries (operationalized as DMFT ≥ 3). A nomogram was developed and validated by using the ‘rms’ package and two cross-validation methods. Results Severe caries was found in 537 of the 4573 children (11.74%). Multivariate logistic regression analysis revealed that the following variables predicted a higher risk of severe caries: ‘female’ [odds ratio (OR) = 1.985, 95% confidence interval (95% CI): 1.63–2.411], ‘urban’ (OR = 2.389, 95% CI: 1.96–2.91), ‘non-only child’ (OR = 1.317, 95% CI: 1.07–1.625), ‘very poor self-assessment of oral health status’ (OR = 2.157, 95% CI: 1.34–3.467) and ‘visited a dentist less than 6 months’ (OR = 1.861, 95% CI: 1.38–2.505). Multivariate logistic regression analysis also indicated that the following variables predicted a lower risk of severe caries: ‘middle level of urbanization’ (OR = 0.395, 95% CI: 0.32–0.495) and ‘high level of urbanization’ (OR = 0.466, 95% CI: 0.37–0.596). Both the fivefold and leave-one-out cross-validation methods indicated that the nomogram model built by these 6 variables displayed good disease recognition ability. Conclusions The nomogram was a simple-to-use model to screen children for severe caries. This model was found to facilitate non-dental professionals in assessing risk values without oral examinations and making referrals to dental professionals.

scholarly journals Comprehensive Hospitals Nurses’ Cognition on Palliative Care in Shandong Province, China: A Cross-Sectional Study

2021 ◽  
Author(s):  
Hailing Yang ◽  
Meimei Shang ◽  
Chunhua Sun ◽  
Lihua Li ◽  
Chao Wang
Keyword(s):  
Palliative Care ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Shandong Province ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Nursing Knowledge

Background: Palliative care is an essential part of medical practice, however, it has developed slowly in China. We aimed to analyze the current situations of the cognition on palliative care among the nurses in Shandong Province, China. Methods: This was a cross sectional study. Investigation of 1050 nurses came from 5 third-class hospitals and 5 second-class hospitals in Shandong Province, China from Jul to Oct in 2018. The questionnaire included 4 parts: general information of the subject, the questionnaire of palliative nursing knowledge, attitude, and the behavior. Data were collected by the APP. Overall, after eliminating the invalid questionnaires, 1026 questionnaires were included in the final analyses. The software Stata 14.2 was used for all statistical analyses. Results: The score of knowledge and attitude was low, the practice was higher. Multivariate analysis results: the significant independent variables of univariate analysis were included in the multivariate non-conditional logistic regression model for analysis. Some departments had statistical significance in knowledge multivariate Logistic regression analysis. The multivariate logistic regression analysis of practice was significant for physical health and religious beliefs. The statistical variables of the total score of cognition were gender, age of care, health status and religious beliefs. Conclusion: Nursing knowledge is lacking and attitude remains to be improved as soon as possible. It is vital to improve the cognition of palliative care of nurses in Shandong general hospitals by developing relevant rules and regulations, strengthening the supervision of relevant ant departments, and enhancing training for nurses.  

scholarly journals Association between Helicobacter pylori Infection and Diabetes: A Cross-Sectional Study in China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Sailimai Man ◽  
Yuan Ma ◽  
Cheng Jin ◽  
Jun Lv ◽  
Mingkun Tong ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Subgroup Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Increased Risk ◽  
H Pylori

Background. Studies suggest an association between H. pylori infection and extragastrointestinal disease. Limited studies provided conflicting results on the association between H. pylori infection and diabetes. The present study was aimed at examining the association between H. pylori infection and diabetes in a large health checkup population in China. Methods. A cross-sectional study was conducted; participants who attended health checkups at Beijing MJ Health Screening Center during 2017-2018 were included. H. pylori infection was diagnosed by 13C-urea breath test. Multivariate logistic regression analysis was performed to evaluate the association between H. pylori infection and diabetes. Results. The mean age of 13,397 participants was 43.8±12 years. The prevalence of H. pylori infection and diabetes was 28.2% and 8.1%, respectively. The prevalence of diabetes was higher among H. pylori-positive participants compared with their counterparts (8.9% vs 7.8%, p=0.05). After adjustment of age, sex, family history of diabetes, smoking, education, stroke, coronary heart disease, BMI, SBP, TG, HDL-C, and LDL-C, multivariate logistic regression analysis found no association between H. pylori infection and diabetes (OR 1.02, 95% CI 0.88-1.18). Additionally, subgroup analysis indicated that H. pylori infection was significantly associated with increased risk of diabetes in the female group (OR 1.09, 95% CI 1.08-1.09). Conclusions. No significant association was found between H. pylori infection and diabetes. However, the subgroup analysis suggested that H. pylori infection was possibly associated with increased risk of diabetes among females. Future cohort studies are needed to verify this association in females and to address possible implication in the prevention of diabetes.

scholarly journals LDL-C:HDL-C ratio and common carotid plaque in Xinjiang Uygur obese adults: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022757 ◽  
Author(s):  
Qiang Zhao ◽  
Fen Liu ◽  
Ying-Hong Wang ◽  
Hong-Mei Lai ◽  
Qian Zhao ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Obese Adults ◽  
Cross Sectional

ObjectiveThe aim of this study was to explore the relationship between low-density lipoprotein cholesterol:high-density lipoprotein cholesterol (LDL-C:HDL-C) ratio and common carotid atherosclerotic plaque (CCAP) among obese adults of Uygur community in Xinjiang, China.DesignA hospital-based cross-sectional study.SettingFirst Affiliated Hospital of Xinjiang Medical University.ParticipantsA total of 1449 obese adults of Uygur population who were free of coronary artery disease were included in our study from 1 January 2014 to 31 December 2016.MethodologyLipid profiles, other routine laboratory parameters and intima-media thickness of the common carotid artery were measured in all participants. Multivariate logistic regression analysis was used to examine the association between LDL-C:HDL-C ratio and CCAP.ResultsFour hundred and fifteen (28.64%) participants had CCAP. Participants with CCAP had significantly higher LDL-C:HDL-C ratio compared with those without CCAP (3.21 [2.50, 3.88] vs 2.33 [1.95, 2.97], p<0.001). Multivariate logistic regression analysis showed high LDL-C:HDL-C ratio as independent predictor of CCAP after adjusting for conventional cardiovascular risk factors. The top LDL-C:HDL-C ratio quartile (≥3.25) had an OR of 9.355 (95% CI 6.181 to 14.157) compared with the bottom quartile (<2.07) of LDL-C:HDL-C ratio (p<0.001) after adjustment for age, body mass index, smoking, diabetes mellitus and serum level of total cholesterol.ConclusionCCAP is highly prevalent in Uygur obese adults. A high LDL-C:HDL-C ratio is an independent predictor of CCAP. It may help identify obese individuals who are at high risk of CCAP and who may benefit from intensive LDL-lowering therapy.

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