The triglyceride-glucose index (TyG) and Nonalcoholic fatty liver in the Japanese population: a retrospective cross-sectional study

Abstract Background: Evidences regarding the association between triglyceride-glucose index (TyG) and Nonalcoholic fatty liver (NAFLD) are controversial. Therefore, the goals of this research are to evaluate whether TyG is independently associated with NAFLD and the ability of TyG index to detect NAFLD in the Japanese population. Methods: The present study was a cross-sectional study. The data was downloaded from the DATADRYAD website. A total of 13178 participants was involved in a hospital in Japan from 2004 to 2015. The correlation between TyG and NAFLD was detected by using binary logistic regression and Generalized additive models. The likelihood ration test was used to examine the modification and interaction of subgroups. Furthermore, the ability of TyG to predict NAFLD was evaluated by using receiver operating characteristic (ROC) curves. The formula for the TyG index was ln [fasting triglyceride level (mg / dl) × fasting blood glucose level (mg / dl) / 2] Results: The average age of the selected participants was 43.36±8.89 years old, and about 51.02% of them were male. In fully-adjusted binary logistic regression model, TyG was positively related with the risk of NAFLD (Odds ratio (OR)=2.45, 95%CI 2.12-2.82). The relationship between TyG and NAFLD was a non-linear relationship, and its inflection point was 8.22. The effect sizes and the confidence intervals of the left and right sides of inflection point were 3.26(2.44 - 4.35) and 2.09 (1.72 - 2.54), respectively. By subgroup analysis, the stronger association was found in females, low GGT, non-obesity, non-visceral fat obesity (P for interaction <0.05). Among the total population, the AUC for TyG [0.810 (0.804 - 0.817)] was worse than ALT [ 0.829 (0.822 - 0.835)] but better than TG [ 0.799 (0.792 - 0.805)] and FPG [ 0.715 (0.707 - 0.722)]. A similar result was found for men. In the women, the AUC for the TyG was superior to ALT, FPG, and TG. Conclusion: The association between TyG and NAFLD is non-linear. TyG is stronger positively correlated to the risk of NAFLD when TyG is less than 8.22. TyG is helpful to identify individuals with NAFLD.

Download Full-text

Association between the HTR2C rs1414334 C/G gene polymorphism and the development of the metabolic syndrome in patients treated with atypical antipsychotics

PeerJ ◽

10.7717/peerj.2163 ◽

2016 ◽

Vol 4 ◽

pp. e2163 ◽

Cited By ~ 3

Author(s):

José María Rico-Gomis ◽

Antonio Palazón-Bru ◽

Irene Triano-García ◽

Luis Fabián Mahecha-García ◽

Ana García-Monsalve ◽

...

Keyword(s):

Metabolic Syndrome ◽

Logistic Regression ◽

Regression Models ◽

Atypical Antipsychotics ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

The Metabolic Syndrome

Few studies have assessed the association between the rs1414334 C/G polymorphism in the HTR2C gene and the development of the metabolic syndrome in patients treated with atypical antipsychotics. To provide further evidence, a cross-sectional study was conducted in Spain between 2012 and 2013 in 166 patients with these characteristics. In these patients, the association between the polymorphism and the presence of the metabolic syndrome was determined by implementing binary logistic regression models adjusted for variables associated with the metabolic syndrome. We did not confirm previous claims that the C allele of the polymorphism was linked to the metabolic syndrome: the association was in the opposite direction and non-significant. This conclusion held after taking gender and lifestyle variables into account.

Download Full-text

Threshold Effects of Serum Uric Acid on Chronic Kidney Disease in US Women without Hypertension and Diabetes: A Cross-Sectional Study

Kidney & Blood Pressure Research ◽

10.1159/000502183 ◽

2019 ◽

Vol 44 (5) ◽

pp. 1036-1049 ◽

Cited By ~ 1

Author(s):

Guiping Hu ◽

Yi Bai ◽

Tian Chen ◽

Shichuan Tang ◽

Lihua Hu

Keyword(s):

Chronic Kidney Disease ◽

Logistic Regression ◽

Uric Acid ◽

Regression Models ◽

Inflection Point ◽

Cross Sectional Study ◽

Threshold Effects ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models

Background: Serum uric acid (SUA) has been associated with increased risk of chronic kidney disease (CKD) in observational studies; however, data in women without hypertension and diabetes are sparse. Purpose: To examine the association between SUA and CKD among women without hypertension and diabetes. Methods: In this cross-sectional study of 6,776 US women without hypertension and diabetes from the National Health and Nutrition Examination Survey (1999–2006), we investigated the relationship between SUA and CKD using multivariable logistic regression models. Moreover, a generalized additive model and smooth curve fitting (penalized spline method) and a 2 piecewise logistic regression models were conducted to address for nonlinearity. Results: The prevalence of CKD was 8.3%. Multiple logistic analyses showed that per 1 mg/dL increase in SUA was associated with 39% increased prevalence of CKD. Analyses using restricted cubic spline confirmed that the association between SUA and CKD was nonlinear. Further, threshold and saturation effect analysis showed that the inflection point of SUA was 4.5 mg/dL. The ORs (95% CIs) were 0.84 (0.66–1.08) on the left side of inflection point and 1.87 (1.56–2.24) on the right side of inflection point, respectively. Subgroup analysis showed that the stronger association between SUA and CKD was observed in elder women with never/former smoking and higher fasting blood glucose levels (all p values for interaction <0.05). Conclusion: Our study suggested threshold effects of SUA on the prevalence of CKD among US women without hypertension and diabetes. SUA levels >4.5 mg/dL were positively and independently associated with CKD.

Download Full-text

Factors Affecting Voluntary HIV Testing among General Adult Population: A Cross-Sectional Study in Sarawak, Malaysia

Journal of Family & Reproductive Health ◽

10.18502/jfrh.v14i1.3787 ◽

2020 ◽

Author(s):

Aren Sinedeh Lemin ◽

Md Mizanur Rahman ◽

Cliffton Akoi Pangarah ◽

Andrew Kiyu

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Hiv Testing ◽

Logistic Regression Analysis ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Binary Logistic Regression Analysis ◽

Sectional Study ◽

Cross Sectional ◽

Hiv Aids

Objective: Voluntary HIV testing is one of the key strategies in the HIV/AIDS prevention and control program. New National Strategic Plan for 2016-2030 in Malaysia, adapt three zeros viz. ‘zero new infections of HIV/AIDS, zero discrimination and zero AIDS-related deaths’. This study aimed to determine the predictors of voluntary HIV testing in Sarawak. Materials and methods: A cross-sectional study was conducted with a total of 900 respondents (450 males and 450 females) from the state of Sarawak, aged 18 years and above, who were selected by gender-stratified multistage cluster sampling. Data were obtained by face-to-face interview using a pretested questionnaire. Binary logistic regression analysis was done to determine the potential predictors for voluntary HIV testing. Results: The prevalence of HIV testing was higher among female respondents (26%) compared to male respondents (14.2%), and the difference was statistically significant (p < 0.001). Binary logistic regression analysis revealed that household income more than MYR 1501 (p = 0.009), not living with a partner (p < 0.001) and discussion on HIV/AIDS (p = 0.019) appeared to be predictors for the male respondents, while, ethnicity was statistically significant for female respondents (p < 0.001). Conclusion: The utilisation of HIV testing was low in both males and females. Thus, the finding of this study could be considered when designing HIV education and screening program in Sarawak.

Download Full-text

Prevalence and Correlates of Discomfort and Acceptability of Acupuncture among Outpatients in Chinese Acupuncture and Moxibustion Departments: A Cross-Sectional Study

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2013/715480 ◽

2013 ◽

Vol 2013 ◽

pp. 1-7

Author(s):

Baoyan Liu ◽

Huanfang Xu ◽

Shengnan Guo ◽

Jiani Wu ◽

Jia Liu ◽

...

Keyword(s):

Logistic Regression ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Fear Of Pain ◽

Related Factors ◽

Cross Sectional ◽

Factors Affecting ◽

Acupuncture And Moxibustion ◽

Professional Title

Objective.This study aims to give a profile of discomfort and acceptability of acupuncture, including the prevalence and association with demographic and acupuncture-related factors.Methods.A cross-sectional study was conducted in Beijing, China. Outpatients of acupuncture and moxibustion departments were recruited using purposive sampling. 925 subjects were interviewed with an anonymous questionnaire. Multinomial and binary logistic regression were used to analyze factors affecting discomfort and acceptability of acupuncture.Results.The average VAS value of 925 subjects’ acupuncture discomfort was 2.66 ± 2.02, within the range of mild discomfort. Acupuncture was easily accepted by 81.1% of the subjects. Results of logistic regression were as follows: (1) subjects with a better knowledge of acupuncture, or a greater fear of pain or needles, experienced more “moderate to severe discomfort” and showed a decreased acupuncture acceptance (P<0.001orP<0.01); (2) Acupuncture with less discomfort or implemented by a more qualified doctor was easy to be accepted (P<0.001); (3) subjects aged 20–29 preferred to report “moderate to severe discomfort” while those aged 40–59 preferred to report “slight discomfort” (P<0.001).Conclusion.Acupuncture is an acceptable therapy with less discomfort, which can be greatly affected by fear of pain or needles, age, knowledge of acupuncture, and professional title of acupuncturist.

Download Full-text

Prevalence and Associated Factors of Perinatal Asphyxia in Neonates Admitted to Ayder Comprehensive Specialized Hospital, Northern Ethiopia: A Cross-Sectional Study

International Journal of Pediatrics ◽

10.1155/2020/4367248 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Gebrehiwot Teklehaimanot Gebregziabher ◽

Fikaden Berhe Hadgu ◽

Haftom Temesgen Abebe

Keyword(s):

Logistic Regression ◽

Associated Factors ◽

Perinatal Asphyxia ◽

Birth Asphyxia ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Specialized Hospital ◽

Prolonged Labor

Background. Perinatal asphyxia is defined as the inability of the newborn to initiate and sustain enough respiration after delivery and is characterized by a marked impairment of gas exchange. It is one of the most common causes of neonatal mortality and morbidity. There are very few studies on perinatal asphyxia in Tigray, and so this study is aimed at assessing the prevalence and associated factors of perinatal asphyxia in Ayder Comprehensive Specialized Hospital NICU, Tigray, Ethiopia. Methods. An institution-based cross-sectional study design was conducted among neonates admitted to Ayder Comprehensive Specialized Hospital from January 1, 2016, to December 30, 2017. Medical records of 267 neonates admitted to the neonatal intensive care unit were selected by a systematic sampling method, and relevant information was collected using a checklist. The data was analyzed using SPSS version 20. Descriptive statistics were computed to determine the prevalence of birth asphyxia and sociodemographic and obstetrics data. Binary logistic regression was used to test associations between the associated factors and perinatal asphyxia. First bivariate analysis was performed to assess the association without controlling the effect of other independent variables. Variables with P value < 0.25 were fitted to the multivariable binary logistic regression model. Finally, variables with P value < 0.05 were expressed as associated factors of perinatal asphyxia. Results. Of the 267 neonates, 48 neonates had perinatal asphyxia, giving a prevalence of 18%. Prolonged labor (AOR=5.19, 95% CI: 1.73-15.63, P=0.003), presence of meconium (AOR=4.17, 95% CI: 1.34-12.98, P=0.014), and preeclampsia (AOR=7.94, 95% CI: 2.22-28.37, P=0.001) were important determinant factors for birth asphyxia. The case fatality rate of perinatal asphyxia was 37.5%. Conclusion and Recommendations. Prevalence and mortality of asphyxia were high. Prolonged labor, presence of meconium, and preeclampsia were determinant factors for birth asphyxia. Early detection and intervention of high-risk mothers should be carried out by health care providers, and mothers should be monitored with partograph during labor.

Download Full-text

Association Between the Triglyceride Glucose Index and Alanine Aminotransferase Levels: a Cross-sectional Study

10.21203/rs.3.rs-749257/v1 ◽

2021 ◽

Author(s):

Yu Hua ◽

Haiyue Yu ◽

Shuang Chen ◽

Xueyao Zhang ◽

Xingang Zhang ◽

...

Keyword(s):

Alanine Aminotransferase ◽

Cardiovascular Health ◽

Surrogate Marker ◽

Cross Sectional Study ◽

Health Study ◽

Cardiovascular Health Study ◽

Sectional Study ◽

Cross Sectional ◽

Tyg Index ◽

Triglyceride Glucose Index

Abstract Background: The triglyceride glucose index (TyG) has been proposed as a marker of insulin resistance or type 2 diabetes mellitus (T2DM). Risk of serum alanine aminotransferase (ALT) levels is increased in T2DM patients. We aimed to evaluate the association between TyG index and elevated ALT. Methods: A multicenter, cross-sectional study was conducted in China from Northeast China Rural Cardiovascular Health Study (NCRCHS), and 11,573 adults with complete data were included in our final analysis.Results: TyG index was positively associated with the prevalence of elevated ALT. Frequency of elevated ALT increased from the lowest to the top quartile of TyG in both sexes (p for trend <0.001). Compared with the participants in the lowest quartile of TyG, the adjusted odds ratio and 95% CIs for elevated ALT were 1.71 (1.32-2.21) and 2.46 (1.90-3.19) for those in the third and the fourth quartile of TyG (p<0.001). Compared with the first quartile of TyG, participants in the top quartile of TyG had more than 2 times risk for elevated ALT (2.38-times for men and 2.22-times for women, respectively, p<0.001). According to the ROC analysis, the optimal cut-off point of TyG for elevated ALT was 8.69 and 8.96 for men and women, respectively. Conclusions: TyG index is effective to identify individuals at risk for elevated ALT. TyG thresholds of 8.69 for men and 8.96 for women was highly sensitive for detecting elevated ALT subjects. Findings from this study underscore that TyG index may be suitable as a surrogate marker for abnormal liver enzymes in Chinese adults.

Download Full-text

The current status and associated factors of fatigue in Chinese patients with gout: A cross-sectional study

10.21203/rs.2.23942/v1 ◽

2020 ◽

Author(s):

Jiaxin Guo ◽

Wei Zhou ◽

Mei He ◽

Jianlin Gao ◽

Yilin Wang ◽

...

Keyword(s):

Logistic Regression ◽

Linear Regression ◽

Sleep Quality ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Anxiety And Depression ◽

Sectional Study ◽

Cross Sectional ◽

Stepwise Linear Regression ◽

Chi Square Analysis

Abstract BackgroundFatigue is a common symptom in patients with rheumatism that is easy to ignore. In the absence of previous studies, our study aims to investigate the fatigue status, explore the potential predictors of fatigue and the effects of fatigue on health-related quality of life (HRQoL) among Chinese gout patients.MethodThis cross-sectional study was conducted from the Affiliated Hospital of Nantong University. A series of questionnaires were applied: Fatigue Scale-14 (FS-14), the 10 cm visual analog scale (VAS), the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder questionnaire (GAD-7), the Pittsburgh Sleep Quality Index (PSQI), Health Assessment Questionnaire(HAQ), the Short Form 36 health survey (SF-36). Laboratory examinations were taken to obtain some biochemical indicators. Independent samples t-test, Mann–Whitney U-test, Chi-square analysis, Pearson /Spearman correlation, Stepwise linear regression and binary logistic regression were used to analyze the data.Results410 gout patients were included in this study. Among them, more than 50% patients reported physical fatigue in FS-14, severe disease, poor psychological status and reduced HRQoL were associated with fatigue. Multiple stepwise linear regression and binary logistic regression were applied and showed that pain, sleep quality, anxiety and depression were the potential predictors of fatigue. In addition, we found that the more severe the fatigue, the lower the patient’s HRQoL.ConclusionsFatigue among gout patients is exceedingly common. The results of this study suggested that rheumatologists should pay closely attention to gout patients who suffer from serious fatigue, especially those with pain, poorer sleep quality, anxiety and depression.

Download Full-text

Outcome evaluation of COVID-19 infected patients by disease symptoms: a cross-sectional study in Ilam Province, Iran

BMC Infectious Diseases ◽

10.1186/s12879-021-06613-7 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jamil Sadeghifar ◽

Habib Jalilian ◽

Khalil Momeni ◽

Hamed Delam ◽

Tadesse Sheleme ◽

...

Keyword(s):

Logistic Regression ◽

Chest Pain ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Outcome Evaluation ◽

Shortness Of Breath ◽

Sectional Study ◽

Cross Sectional ◽

Radiographic Findings ◽

Disease Symptoms

Abstract Background Novel coronavirus disease-19 (COVID-19) was declared as a global pandemic in 2020. With the spread of the disease, a better understanding of patient outcomes associated with their symptoms in diverse geographic levels is vital. This study aimed to evaluate clinical outcomes of COVID-19 patients by disease symptoms in Ilam province, Iran. Methods This was a cross-sectional study. Data were collected from integrated health system records for all hospitals affiliated with the Ilam University of Medical Sciences between 26-Jan-2020 and 02-May-2020. All patients with a confirmed positive test were included in this study. Descriptive analyses, chi-square test, and binary logistic regression model were performed by using SPSS version 22. Results The mean age of participants was 46.47 ± 18.24 years. Of the 3608 patients, 3477 (96.1%) were discharged, and 129 (3.9%) died. 54.2% of the patients were male and were in the age group of 30–40 years. Cough, sore throat, shortness of breath or difficulty breathing, and fever or chills were the most common symptoms. Patients with symptoms of shortness of breath, abnormal radiographic findings of the chest, and chest pain and pressure were relatively more likely to die. According to binary logistic regression results, the probability of death in patients with shortness of breath, abnormal chest radiographic findings, and chest pain was 1.34, 1.24, and 1.32 times higher, respectively, than for those without. Conclusion Our study provides evidence that the presentation of some symptoms significantly impacts outcomes of patients infected with SARS-CoV-2. Early detection of symptoms and proper management of outcomes can reduce mortality in patients with COVID-19.

Download Full-text

Prevalence of anxiety and its associated factors among infertile patients after ‘two-child’ policy in Chongqing, China: a cross-sectional study

Reproductive Health ◽

10.1186/s12978-021-01140-9 ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Wenwu Gui ◽

Xi Yang ◽

Huimin Jiang ◽

Hongwen Wu ◽

Mao Zeng ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Oral Contraception ◽

Sectional Study ◽

Cross Sectional ◽

Child Policy ◽

Education Levels ◽

Infertile Patients

Abstract Background With the prevalence of infertility increasing every year around the world, it has seriously impacted the individual quality of family and social life. Anxiety is one of the most prevalent anxiety disorders among infertile patients. After the two-child policy, whether it affected the prevalence of anxiety is controversial. This study aimed to determine the prevalence of anxiety and its potential risk factors among Chinese infertile women after the enforcement of ‘two-child policy’. Methods This cross-sectional study included 693 infertile patients in a reproductive medical center in Chongqing, China, between February 2016 and December 2018. Data was collected by Self-filling questionnaires including basic demographic information and the Generalized Anxiety Disorder-7 (GAD-7). SPSS statistical software (IBM SPSS version 25) was used to analyse the obtained data. Descriptive analysis was used to describe basic information and anxiety scores, the chi-square test and binary logistic regression were used to analyse the relationship between anxiety and other variables. Results The prevalence of anxiety among total infertile patients was 21.8%, and its 23.5% among first-child infertile patients (FI), and 18.4% among second-child infertile patients (SI) respectively (P > 0.05). Binary logistic regression showed that patients with lower education levels were more likely to have anxiety (P < 0.01). Patients with middle salary incomes were more likely to have anxiety (OR = 1.860, 95% CI: 1.068–3.238). Oral contraception taking history (OR = 1.778, 95% CI: 1.186–2.667), and history of allergy (OR = 2.098, 95% CI: 1.219–3.612) were associated with anxiety. Conclusions Under the full liberalization of the “two-child policy”, the total prevalence of anxiety among Chinese infertile female is comparatively high. Low education levels, middle incomes, oral contraception taking and allergy history can be the related risk factors of anxiety. We promote that all infertile patients should be evaluated for the prevalence of anxiety, especially those with potential risks, and receive consultant or targeted treatment when needed.

Download Full-text