scholarly journals Association between Hyperuricemia and Metabolic Syndrome: An Epidemiological Study of a Labor Force Population in Taiwan

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Cheng-Yu Wei ◽  
Chia-Cheng Sun ◽  
James Cheng-Chung Wei ◽  
Hsu-Chih Tai ◽  
Chien-An Sun ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
The Relationship

The increasing prevalence of metabolic syndrome (MetS) has become an important issue worldwide. Metabolic comorbidities of hypertension, obesity, and hyperlipidemia are shown as important risk factors for incident gout. The purpose of this study was to investigate the relationship between hyperuricemia and MetS. This is a cross-sectional study. The effective sample included 21,544 individuals who received worker health examinations at a local teaching hospital in Changhua County from 2008~2012. We used multiple logistic regression analysis to investigate the influences of hyperuricemia on MetS. The results showed that individuals with MetS had significantly higher blood pressure, fasting plasma glucose, triglycerides, waist circumference, and high-density lipoprotein cholesterol than those without MetS(P<0.001). Multiple logistic regression analysis revealed hyperuricemia to be an important factor of MetS. The risk of developing MetS is higher with high levels of serum uric acid (SUA) and the odds ratio (OR) of having MetS is 4.98 times higher for Tertile 3 than for Tertile 1 (95% CI = 4.16–5.97) and 4 times higher for Quartile 4 than for Quartile 1 (95% CI = 3.59–4.46). In conclusion, males are more likely to develop MetS than females, and the risk of having MetS increases with age and SUA concentration.

scholarly journals Happiness inequality in young adults: a nationwide cross sectional study from Iran

2019 ◽  
Author(s):  
Ali Montazeri ◽  
Mahmoud Tavousi ◽  
Aliasghar Haeri-Mehrizi ◽  
Jila Sadighi ◽  
Faranak Farzadi ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Gender And Education ◽  
The Relationship

Abstract Objective The correlation between happiness and health is well established. This study aimed to measure happiness and its correlates among a sample of young adults in Iran. As such a national cross sectional study was conducted and the Oxford Happiness Questionnaire (OHQ) was administered to measure happiness. We performed logistic regression analysis to examine the relationship between happiness and independent variables. Results In all 14292 young adults (7702 female and 6590 male) were completed the questionnaire. The mean happiness score for the study sample was 4.09 (SD = 0.57) out of 6; indicative of a condition that is named as ‘rather happy; pretty happy’. The results obtained from multiple logistic regression analysis showed insignificant association between happiness, age, gender, and education whereas the association between happiness and income [OR for poor/very poor= 1.69, 95% CI: 1.51-1.90] and employment status [OR for unemployed = 1.88, 95% CI: 1.53-2.32] was significant. In addition separate analyses for men and women showed that income and employment still were significant for men but for women only income was significant.

scholarly journals The Study of Clustering Effects of Behavior Risk Factors in Patients with Metabolic Syndrome in Southern China: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Huiwu Han ◽  
Fan Zheng ◽  
Weiwei Dai ◽  
Hua Peng ◽  
Shi Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Salty Taste ◽  
Clustering Effect

Objectives. Metabolic syndrome (MetS) is now becoming a serious public health threat. Some behaviors risk factors were considered to be associated with MetS and interacted to adversely affect MetS. However, the clustering effects of behavior risk factors of MetS among Chinese population remain unclear. The aim of this study is to observe the behavior risk factors and their clustering effects of MetS in China. Methods. A cross-sectional study design was used. Subjects were recruited in the departments of Cardiology Clinic, Endocrine Clinic, and Health Management from March to December 2019. A demographic sheet was designed to collect the demographic and clinical characteristics of the subjects. International Physical Activity Questionnaire-Short was applied to evaluate the level of PA in this study. Other behavior risk factors were observed by the questionnaire. The stepwise logistic regression analysis was performed to identify the determinants of MetS. The multiple logistic regression analysis was used to analyze the clustering effects of behavior risk factors in MetS. Results. There are a total of 532 eligible subjects (56.6% females; mean age was 48.4±15.3 years), and approximately 33.3% were diagnosed as MetS. The subjects with a smoking habit (heavy and long-time history) had a 1.833-fold higher risk for MetS than their counterparts (none and light smoking), and the subjects that preferred salty taste had a 1.626-fold higher risk for MetS than the comparison cohort. Smoking and alcohol drinking had the highest clustering effect on MetS among the behavior risk factors. Conclusions. The main finding of this study was that smoking and salty taste preference were the independent determinants of MetS. Smoking and alcohol consumption had the highest clustering effect on southern Chinese MetS.

scholarly journals Complications as important predictors of disability in ischemic stroke

2017 ◽  
Vol 36 (3) ◽  
pp. 197
Author(s):  
Rizaldy Taslim Pinzon ◽  
Rosa De Lima Renita Sanyasi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Recurrent Stroke ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Stroke Registry

Background<br />Stroke is the main cause of disability and death in many countries. The high incidence of disability in stroke survivors requires special attention to determine various predictive factors of disability. This study aimed to identify the various predictive factors of disability in ischemic stroke.<br /><br />Methods<br />This study was a cross sectional study on 4510 ischemic stroke patients. Each patient’s data had been recorded in the electronic stroke registry of Bethesda Hospital. Ischemic stroke diagnosis was confirmed by brain CT scan, which was interpreted by a neurologist and a radiologist. Disability was assessed using the modified Rankin scale. Predictors of disability were assessed. Multiple logistic regression analysis was used to analyse the data. <br /><br />Results<br />The subjects were predominantly males, &gt;60 years of age, and suffered stroke for the first time. The incidence of disability was 31.5% (1420/4510). Multiple logistic regression analysis showed that the presence of complications (OR: 6.43; 95% CI: 4.74-8.73; p&lt;0.001), decreased level of consciousness (OR: 4.82; 95% CI: 3.95-5.90; p &lt;0.001), onset ³3 hours (OR: 1.93; 95% CI: 1.52-2.45; p&lt;0.001), recurrent stroke (OR: 1.63; 95% CI: 1.39-1.90; p&lt;0.001), and age &gt;60 years (OR: 1.55; 95% CI: 1.35-1.79; p&lt;0.001) were independent predictive factors of disability.<br /><br />Conclusion<br />We demonstrated that a substantial proportion of patients with ischemic stroke become disabled. And the presence of complications was the most predictive factor of disability in ischemic stroke.

scholarly journals Hyperuricemia and Associated Factors in Children with Chronic Kidney Disease: A Cross-Sectional Study

Children ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 6
Author(s):  
Jie Xu ◽  
Lingxiao Tong ◽  
Jianhua Mao
Keyword(s):  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Kidney Disease ◽  
Associated Factors ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Multiple Logistic Regression ◽  
Sectional Study ◽  
Cross Sectional

Background: Hyperuricemia is increasingly recognized as a risk factor for chronic kidney disease (CKD) just in adults. The purpose of this study was to investigate the clinical characteristics of hyperuricemia and its associated factors in Chinese children with CKD at a single center. Methods: A cross-sectional study of 170 CKD children collected from the Department of Nephrology, The Zhejiang University Children’s Hospital was conducted. The clinical data, including anthropometric data, blood pressure measurements, and biochemical parameters, were recorded and analyzed retrospectively. The factors associated with hyperuricemia in CKD children were evaluated by Pearson and Spearman correlation analysis and multiple logistic regression analysis. Results: The mean age was 9.79 ± 4.10 years, and 72 (42.35%) were girls. Higher blood urea nitrogen (BUN), serum creatinine, cystatin C, D-dimer, lower hemoglobin, albumin, and estimated glomerular filtration rate (eGFR) were significantly associated with higher serum uric acid (SUA). In multiple logistic regression analysis, anemia and higher BUN were both positively associated factors, whereas eGFR ≥ 90 mL/min/1.73 m2 was a negatively associated factor for subjects with SUA ≥ 390 µmol/L (6.5 mg/dL). Conclusions: SUA was significantly associated with kidney risk factors in CKD children. Monitoring and controlling SUA, Hb, BUN, and Scr levels in CKD children may help to prevent the progression of CKD.

scholarly journals Sex Difference in the Association between Sleep Duration and Thyroid Disease among South Korean Adults

2021 ◽  
Vol 46 (3) ◽  
pp. 337-343
Author(s):  
Jeong Hyun Ahn ◽  
Jin Young Nam ◽  
Soojin Park
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sleep Duration ◽  
Logistic Regression Analysis ◽  
Thyroid Disease ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
South Korean ◽  
Increased Risk

Objectives: The study aimed to investigate sex differences associated with sleep duration and the prevalence of thyroid disease among South Korean adults.Methods: This cross-sectional study included 17,555 adults who participated in the Korea National Health and Nutrition Examination Survey from 2016 to 2018. Sleep duration was categorized into three groups (insufficient, <7 hour; normal, 7-8 hour; prolonged, ≥9 hour). A chi-squared test was performed to assess baseline characteristics. Multiple logistic regression analysis was used to identify the association between general characteristic and the prevalence of thyroid disease. In subgroup analysis, multiple logistic regression analysis was performed to find the association between sleep duration and prevalence of thyroid disease by sex.Results: For men, insufficient and prolonged sleep durations were increased risk of thyroid disease compared with normal sleep duration (insufficient sleep: odds ratio, OR=1.85, 95% confidence interval, CI=1.19-2.87; prolonged sleep: OR=1.71, 95% CI=1.02-2.87).Conclusions: This study found that men with insufficient and prolonged sleep were associated with thyroid disease. Further studies are needed to identify the relationship between sleep duration, thyroid disease, and sleep quality by sex.

Metabolic Syndrome as a Predictor of Adrenal Functional Status: A Discriminant Multivariate Analysis Versus Logistic Regression Analysis

2018 ◽  
Vol 51 (01) ◽  
pp. 47-53 ◽  
Author(s):  
Charalampos Tsentidis ◽  
Andreas Bampilis ◽  
Vasiliki Ntova ◽  
Dimitrios Fragkos ◽  
Christos Panos ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Characteristic Curve ◽  
Multiple Logistic Regression Analysis ◽  
Logistic Function ◽  
Adrenal Tumors ◽  
Cross Sectional ◽  
Multivariate Discriminant

AbstractPatients harboring adrenal tumors are characterized by higher prevalence of metabolic syndrome (MetS) components and a higher incidence of cardiovascular complications, especially in cases of subclinical or overt hormonal hypersecretion. Early detection and referral of those patients in tertiary centers could prevent unfavorable outcomes. In this cross-sectional, retrospective study, we evaluated 111 consecutive patients with adrenal incidentalomas and 14 patients with known hypersecretory adrenal lesions (autonomous cortisol secretion, primary aldosteronism, and pheochromocytoma), who were investigated in our clinic. Based on the different distribution of MetS components in patients with non-functional and functional adrenal lesions we introduced a predictive model of hormonal hypersecretion using those components. We performed multivariate discriminant analysis and compared predictive results with conventional multiple logistic regression analysis. Diabetes, impaired glucose tolerance, impaired fasting glucose, hypertension, body mass index, HDL-cholesterol levels, triglyceride levels, drug treatment for lipid disorder (statins, fenofibrate, and fish oils, alone or in combination), and maximal adrenal lesion diameter were used as discriminating covariates. Multivariate discriminant function exhibited a sensitivity of 77.27% and specificity of 73.08% in predicting adrenal hormonal hypersecretion. Receiver operating characteristic curve of discriminant predictive function had an area under the curve value of 0.785, S.E. 0.04. Logistic function delivered comparable results. MetS components exhibit a good predictive feature of hormonal hypersecretion in patients with adrenal tumors. Predictive functions may help in the search for an easy and generally available algorithm to validly predict the functional activity of adrenal masses.

scholarly journals Husband’s support on the use of Intra Uterine Device (IUD) and implant contraceptives among Indonesian couples

2020 ◽  
Vol 3 (2) ◽  
pp. 87-93
Author(s):  
Retno Heru Setyorini ◽  
Era Revika ◽  
Riadini Wahyu Utami ◽  
Oktriyanto Oktriyanto ◽  
Mardiana Dwi P
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Family Planning ◽  
Data Collection ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Questionnaire Validity

The involvement of men in family planning has an important role in making decisions related to the use of contraception. This study aimed to determine the effect of husband’s support on the use of IUDs and Implant contraception among Indonesian couples. This is an analytic survey with a cross-sectional approach. The sample was selected by using the Slovin formula, resulted 398 respondents. Sampling was carried out using accidental sampling. Data collection was carried out using a questionnaire. Validity and reliability tests were carried out using Pearson's product-moment and Cronbach's alpha. Results analysis of the study was carried out by multiple logistic regression. 251 (63.1%) husbands were supporting the use of IUDs and Implant contraception as much as 147 (36.9%) others did not support the use of both contraceptives. The results of multiple logistic regression analysis are OR = 7,713; p = 0,0001 Husband's support influences the use of IUDs and Implant contraception.

scholarly journals The Prevalence of Headache and Associated Factors in Al-Kharj, Saudi Arabia: A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Daifallah Almalki ◽  
Mamdouh M. Shubair ◽  
Badr F Al-Khateeb ◽  
Rawan Abdullah Obaid Alshammari ◽  
Saeed Mastour Alshahrani ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Associated Factors ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Background. Only few studies have investigated the prevalence and risk factors of headaches among the Saudi population. The study aimed to estimate the prevalence of headache and to explore its associated risk factors Al-Kharj, Saudi Arabia. Methods. The multistage sampling technique was used to enroll 1200 population-based participants who were asked to complete a self-administered questionnaire about headaches, demographics, and several other parameters such as smoking status and different chronic and psychological illnesses. The chi-square test and multivariate logistic regression analysis were used to test the association. Results. The overall prevalence of headaches in this study was 3%. The multiple logistic regression analysis showed that females were more likely to have headaches than males (odds ratio (OR) 0.735, 95% confidence interval (CI) = 0.612–1.341; P = 0.024 ). Being a current smoker was also significantly associated with higher “odds” of having headache (OR = 1.319, 95% CI = 0.932–2.462; P = 0.037 ). Participants who were overweight had a significantly higher risk of headache (OR = 1.631, 95% CI = 1.48–1.854; P = 0.037 ). Nonmarried people were significantly more likely to have headache pain, compared to married individuals (OR = 0.875, 95% CI = 0.646–2.317; P = 0.047 ). Conclusion. The prevalence of headaches was 3%, and four significant associated factors were identified: females, nonmarried, smoking, and overweight. The temporality of the relationship between these factors and headache cannot be confirmed in this cross-sectional study; so future longitudinal studies are needed to confirm these potential causal relationships.

scholarly journals Predictors of HIV/AIDS comprehensive knowledge and acceptance attitude towards people living with HIV/AIDS among unmarried young females in Uganda: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tesfaldet Mekonnen Estifanos ◽  
Chen Hui ◽  
Afewerki Weldezgi Tesfai ◽  
Mekonnen Estifanos Teklu ◽  
Matiwos Araya Ghebrehiwet ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
People Living With Hiv ◽  
Sectional Study ◽  
Cross Sectional ◽  
Young Females ◽  
Comprehensive Knowledge ◽  
Hiv Aids

Abstract Background Youth in general and young females, in particular, remain at the center of HIV/AIDS epidemic. To avoid and prevent HIV infection, comprehensive knowledge as well as correct understanding of transmission and prevention strategies are crucial. Thus, the aim of this study is to explore the predictors of comprehensive knowledge on HIV/AIDS and accepting attitude towards PLWHIV. Methods A cross-sectional study was conducted using data from the 2016 Uganda Demographic Health Survey. A two-stage probability sampling method was applied and data were collected using a standard questionnaire. Of the total 8674 women aged 15–49 years, 1971 eligible women aged 15–24 years were included in this analysis. Data analysis was done using SPSS version 23. A Chi-square test followed by logistic regression analysis was used to explore the relationship between specific explanatory variables and outcome variables. The results were reported using odds ratios with 95% confidence interval. P value less than 0.05 was considered as statistically significant. Results Overall, 99.3% of the unmarried women aged 15–24 years were aware of HIV/AIDS, but only 51.9% had comprehensive knowledge on HIV/AIDS. Around 70% of the respondents were aware that "using condoms every time when having sex" and "having only one faithful uninfected partner" can prevent HIV transmission. About 68% of the unmarried women rejected at least two common local misconceptions about HIV/AIDS. An alarmingly small (20.6%) proportion of the respondents had a positive acceptance attitude towards PLWHIV. All variables were significantly associated with having comprehensive knowledge on HIV/AIDS in the unadjusted logistic regression analysis. After adjustment, older age (20–24 years), being educated, wealthier, and ever been tested for HIV/AIDS became predictors of adequate comprehensive HIV/AIDS knowledge. Moreover, respondents with adequate comprehensive knowledge of HIV/AIDS were more likely (OR 1.64, 95% CI 1.30–2.08) to have a positive acceptance attitude towards PLWHIV than their counterparts. Conclusion Our study demonstrated a remarkably high level of awareness about HIV/AIDS among study participants, but the knowledge and positive acceptance attitude towards PLWHIV were not encouraging. Thus, endeavors to expand and strengthen educational campaigns on HIV/AIDS in communities, health facilities, and schools are highly recommended. Attention should particularly focus on young-aged and disadvantaged women with low educational level, poor socioeconomic status and those who have never been tested for HIV/AIDS.

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