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 Prevalence and determinants of hypertension among students of the University of Kinshasa, Democratic Republic of Congo: a cross-sectional study

1970 ◽  
Vol 19 (4) ◽  
pp. 2854-2862
Author(s):  
Guy I Wanghi ◽  
Paulin B Mutombo ◽  
Ernest K Sumaili
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
The University

Background: The 2017 ACC/AHA Guideline categorized blood pressure into 4 levels:normal (SBP<120 and DBP <80mm Hg), elevated (SBP of 120–129 or DBP< 80 mmHg) and stage 1 (SBP of 130–139 or DBP of 80–89 mm Hg) or 2 (SBP≥140 orDBP≥90mmHg). Compared with the JNC7 guideline, the 2017 ACC/AHA guideline recommends using lower SBP and DBP levels to define hypertension.Objective: To determine the prevalence of hypertension as well as associated factors among students of the University of Kinshasa.Methods: This was a cross-sectional study conducted at the University of Kinshasa and including 1 281 students aged between 18 and 30. Blood pressure was assessed according to the WHO STEPwise approach, which is a standardized method of data collection, analysis and dissemination for the surveillance of non-communicable diseases in WHO member countries.The Chi-square and Student's t-tests and a multivariate logistic regression analysis have been used to evaluate the results. Statistical analyses were done using IBM SPSS version 21.Results: The prevalence of hypertension according to the guidelines from the 2017 ACC/AHA and the JNC 7 was 26.4 % (CI 95%; 23.9 - 28.9) and 7.3 % (CI 95%; 5.8 -8.8), respectively. The results of multivariate logistic regression analysis showed that smoking, alcohol abuse, overweight, male sex, age ≥ 24 years old and low physical activity were associated with hypertension (p < 0.0001).Conclusion: At least one out of four students had hypertension. These data should encourage public health authorities to develop strategies for screening of BP and topromote the adoption of healthy lifestyle in young adults.Keywords: Hypertension, risk factors, student, prevalence.

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 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.

scholarly journals Association between Obesity and Chronic Periodontitis: A Cross-sectional Study

2013 ◽  
Vol 14 (2) ◽  
pp. 168-173 ◽  
Author(s):  
Ajay Reddy Palle ◽  
CM Sanjeeva Kumar Reddy ◽  
B Shiva Shankar ◽  
Vemsi Gelli ◽  
Jaradoddi Sudhakar ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Cardiovascular Diseases ◽  
Chronic Periodontitis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

ABSTRACT Aim Chronic periodontitis is multifactorial and numerous risk factors have been identified to contribute in the disease progression. Current study aimed to conduct a cross-sectional study in a population of patients with cardiovascular diseases in order to correlate the association between obesity [body mass index (BMI) and waist circumference (WC)] and periodontal disease parameters. Materials and methods The study was of a cross-sectional design and a total of 201 patients were examined after obtaining their informed consent. Subjects who had a history of cardiovascular diseases and under treatment were included in the study. Two indicators of obesity were used: BMI and WC. The following periodontal parameters were assessed: Probing depth, clinical attachment level. The oral hygiene status of the subjects was assessed by the oral hygiene index (OHI, simplified) given by John C Greene and Jack R Vermillion. The influence of the BMI and other confounding variables on periodontitis severity was assessed by multivariate logistic regression analysis. Data were analyzed using SPSS. Results Significant association was seen with low density lipoproteins (LDL) and severity of periodontitis (p < 0.005), triglyceride levels (TGL) and severity of periodontitis (p < 0.005), cholesterol and severity of periodontitis (p < 0.005), BMI and severity of periodontitis (p < 0.001), OHI and severity of periodontitis (p < 0.001). Significant association was seen with smoking and severity of periodontitis (p < 0.005), BMI and severity of periodontitis (p < 0.001), WC and severity of periodontitis (p < 0.001), cholesterol and severity of periodontitis (p < 0.001), OHI and severity of periodontitis (p < 0.001). Conclusion Obesity has been implicated as a risk factor for several conditions including cardiovascular disease, diabetes, etc. In our study the relation between measures of overall and abdominal obesity (BMI and WC) and periodontal disease showed significant association in the multivariate logistic regression analysis independent of other confounding factors. Clinical significance Obesity can act as a significant risk factor in progression of periodontitis. How to cite this article Palle AR, Reddy CMSK, Shankar BS, Gelli V, Sudhakar J, Reddy KKM. Association between Obesity and Chronic Periodontitis: A Cross-sectional Study. J Contemp Dent Pract 2013;14(2):168-173.

scholarly journals Prevalence and associated factors of Female Sexual Dysfunction among Female Population in Aksum Town, Tigray Region, Ethiopia, 2019. A Community Based Cross Sectional Study

2019 ◽  
Author(s):  
Gebreslasie Gebrezgabhier ◽  
Haftom Desta ◽  
Tesfay Berhe ◽  
Etsay Hailu ◽  
Fitsum Gebrehiwot ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sexual Dysfunction ◽  
Female Sexual Dysfunction ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Community Based ◽  
Cross Sectional

Abstract Objective : Female sexual dysfunction is age related, progressive and highly prevalent, afffecting more than half of womens in general population. A Community based cross sectional study was implemented from March to April 2019 and a total of 823 participants were interviewed. Data was entered using Epi-data version 3.1 and then exported to SPSS Version 20 for analysis. Bivariate and multivariate logistic regression analysis was carried out to assess the association. The p-value less than 0.05 found from multivariate logistic regression analysis was considered as statistically significant. The strength of the association was presented by odds ratio with 95% C.I and model fitness was checked by Hosmer-Lemeshow goodness and goodness fit was 0.086. Result : A total of 823 women were completed the questionery with mean of Age and in this study the prevalence of Female sexual dysfunction was found to be 57.1% . Factors like , old age (AOR= 4 .12; 95% C.I:1.39, 12.22), being divorced (AOR=4.83; 95% C.I: 2.41, 9.66), widowed (AOR=3.28; 95% C.I:1.58, 6.80), single (AOR=6.24; 95% C.I: 2.22, 17.53), menopause (AOR=2.11; 95% C.I:1.06, 4.20), pill contraceptive (AOR=0.24; 95% C.I: 0.06, 0.95) were the factors associated with Female sexual dysfunction in the study area.

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.

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 The prevalence and clinical characteristics of diabetes mellitus in Chinese inpatients with chronic schizophrenia: a multicenter cross-sectional study

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12553
Author(s):  
Yanni Wang ◽  
Lingyun Zeng ◽  
Lijuan Chen ◽  
Xin Zhou ◽  
Lijuan Huo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Clinical Characteristics ◽  
Chronic Schizophrenia ◽  
Cross Sectional Study ◽  
World Health ◽  
Sectional Study ◽  
Cross Sectional

Background Diabetes mellitus (DM) is common among patients with schizophrenia. However, information on patients comorbid DM and schizophrenia is limited in China. The present study investigated the prevalence of DM and its clinical characteristics in Chinese inpatients with chronic schizophrenia. Methods A cross-sectional study was performed in Chinese inpatients with chronic schizophrenia. Diagnosis of Diabetes was established using World Health Organization diagnostic criteria for diabetes mellitus (persistent fasting glucose levels ≥ 126 mg/dl or 2-h plasma glucose ≥ 200 mg/dL after a 75-g Oral Glucose Tolerance Test). Patients were also measured height, weight, waist circumference, hip circumference, triglyceride level, and cholesterol level. Patients’ psychiatric symptoms were measured by the Positive and Negative Syndrome Scale (PANSS). Binary logistic regression analysis was performed to examine the associated demographic and clinical variables in chronic schizophrenia. Results A total of 988 inpatients (64.6% male, average age of 47.19 ± 12.55) was recruited. The prevalence of DM in Chinese patients with chronic schizophrenia was 13.8% (95% CI [11.6–15.9]%). Logistic regression analysis showed that overweight (OR = 1.90, 95% CI [1.20–3.03], p = 0.006), obesity (OR = 1.85, 95% CI [1.07–3.21], p = 0.028), comorbid hypertension (OR = 2.14, 95% CI [1.34–3.42], p = 0.002), and course of schizophrenia (OR = 1.03, 95% CI [1.01–1.06], p = 0.040) were significantly associated with the DM risk in patients with schizophrenia. Conclusion The findings indicated that diabetes mellitus was non-negligible in patients with chronic schizophrenia. Patients with schizophrenia should be regularly monitored for DM. Overweight/obesity, long duration of schizophrenia, and comorbid hypertension possibly were risk factors for diabetes.

Sign in / Sign up

Export Citation Format

Share Document