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

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.

scholarly journals Prevalence and correlates of overweight and obesity among adolescents in northeastern China: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e036820
Author(s):  
Ruixin Duan ◽  
Changgui Kou ◽  
Jing Jie ◽  
Wei Bai ◽  
Xiaoxin Lan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Dietary Habits ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Northeastern China ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Related Factors ◽  
Cross Sectional ◽  
Changchun City

ObjectivesTo estimate the prevalence of overweight/obesity among adolescents and evaluate the associated factors in this group in Changchun City in northeastern China.MethodsA cross-sectional study of 1955 adolescents aged 11–18 years was conducted in Changchun City using stratified cluster sampling. Parents and caregivers of children completed the questionnaires as requested without objection. The questionnaire included demographic characteristics and anthropometric parameters. Univariate and multivariate logistic regression analyses were performed to analyse the relationship between overweight/obesity and related factors.ResultsIn total, the prevalence of overweight was 12.7% (male 17.4%; female 10.1%) and of obesity was 4.9% (male 8.8%; female 3.1%) in Changchun, Jilin Province. The prevalence of overweight and obesity was higher in boys than in girls (p<0.001). Multivariate logistic regression showed that overweight and obesity were significantly associated with male sex (OR=1.91, 95% CI 1.48 to 2.47), eating fresh fruits more than 2 days per week (OR=1.41, 95% CI 1.09 to 1.84) and eating quickly (OR=1.37, 95% CI 1.06 to 1.78). Students who were not picky (OR=0.69, 95% CI 0.53 to 0.90) were less likely to be overweight, and adolescents whose father was overweight or obese (OR=0.67, 95% CI 0.52 to 0.86) or whose mother was overweight or obese (OR=0.72, 95% CI 0.52 to 0.99) were less likely to be overweight.ConclusionThe prevalence of overweight and obesity among adolescents in Changchun has been high in recent years, and the prevalence was higher among boys than among girls. Sex, dietary habits (weekly frequency of fruit consumption, picky eating and slowness in eating) and parental weight were important factors for overweight and obesity in adolescents. Further research should be conducted on the health of adolescents in China, and further intervention measures should be implemented to reduce the prevalence of overweight/obesity.

scholarly journals Factors associated with elevated alanine aminotransferase in employees of a German chemical company: results of a large cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Matthias Claus ◽  
Christoph Antoni ◽  
Bernd Hofmann
Keyword(s):  
Logistic Regression ◽  
Quantile Regression ◽  
Alanine Aminotransferase ◽  
Geometric Mean ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariable Logistic Regression Model ◽  
Related Factors ◽  
Cross Sectional ◽  
Chemical Company

Abstract Background We aimed to determine the prevalence of elevated alanine aminotransferase (eALT) in employees of a German chemical company, and analyze its association with sociodemographic, work- and lifestyle-related factors. Methods The cross-sectional study is based on data surveyed from occupational health check-ups between 2013 and 2018 at the site clinic of a chemical company based in Ludwigshafen, Germany. We used logistic regression analyses to assess the association between sociodemographic, work- and lifestyle-related characteristics and eALT. Quantile regression technique was applied to investigate if associations vary across different quantiles of the ALT distribution. Results Participants (n = 15,348) were predominantly male (78.3%) with a mean age of 42.2 years (SD 10.7). The prevalence of eALT was 18.5% (21.6% in men/7.2% in women) with a geometric mean of 28.9 U/L (32.8 U/L in men/18.5 U/L in women). In the multivariable logistic regression model, odds of eALT were significantly higher for males (OR 2.61; 95%-CI 2.24–3.05), manual workers (OR 1.23; 95%-CI 1.06–1.43), overweight (OR 2.66; 95%-CI 2.36–3.00) or obese respondents (e.g. OR 7.88; 95%-CI 5.75–10.80 for obesity class III), employees who consume any number of alcoholic drinks/week (e.g. OR 1.32; 95%-CI 1.16–1.49 for ≥ 3 drinks per week) and diabetics (OR 1.47; 95%-CI 1.22–1.78). Additionally, season of participation was significantly associated with eALT, with odds being higher for participation in spring, fall or winter, as compared to summer. A significant interaction between age and gender (pInteraction < 0.001) was found, showing approximately a u-shaped age/ALT relationship in women and an inversely u-shaped relationship in men. Quantile regression showed an increasing positive effect of male gender, overweight/obesity, and for diabetics on ALT level when moving from the lowest (q0.1) to the highest (q0.9) considered quantile. Additionally, from the lowest to the highest quantile an increasing negative effect on ALT for older age was observed. Conclusions Prevalence of eALT in our sample of employees can be considered as high, with almost one in five participants affected. Identification of risk groups allows the implementation of targeted preventive measures in order to avoid transition to severe morbidity.

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

2020 ◽  
Author(s):  
Enqian Liu ◽  
Yaping Weng ◽  
Aiming Zhou ◽  
Chunlai Zeng
Keyword(s):  
Logistic Regression ◽  
Japanese Population ◽  
Inflection Point ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Nonalcoholic Fatty Liver ◽  
Tyg Index ◽  
Triglyceride Glucose Index

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.

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

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2163 ◽  
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.

scholarly journals Impact of the Consistency of Food Substances on Health and Related Factors of Residents in Welfare Facilities for Seniors in Japan

2020 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Reiko Sakashita ◽  
Takuichi Sato ◽  
Hiroshi Ono ◽  
Akiko Hamaue ◽  
Misao Hamada
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Gastric Tube ◽  
Cross Sectional Study ◽  
Older Individuals ◽  
Sectional Study ◽  
Related Factors ◽  
Cross Sectional ◽  
Backward Elimination ◽  
Effect Of Food

The aim of this study is to determine the effect of food consistency on health and related factors among residents in welfare facilities for seniors (n = 227; mean age, 86.2 ± 8.0 years; 78.9% female). Residents who ate regular food had a lower incidence of fever during the 3-month period (p < 0.001) and consumed more calories (1325.97 ± 220.2 kcal) than those who ate chopped (1125.0 ± 256.8 kcal), paste (1122.0 ± 288.5 kcal), and gastric tube food (812.5 ± 150.7 kcal) (p < 0.001). Modifying a resident’s food by making it softer and finer did not reduce the incidence of choking. Logistic regression analysis (backward elimination method) revealed four factors related to eating regular food: vitality index, appetite, number of remaining teeth, and choking frequency. Causal relationships were not obtained because this was a cross-sectional study. The findings of this study suggest that a regular consistency of food positively influences the health of older individuals.

scholarly journals Pregnant women’s hepatitis B vaccination coverage in Nigeria: a national pilot cross-sectional study

2021 ◽  
Vol 9 ◽  
pp. 251513552110325
Author(s):  
George Uchenna Eleje ◽  
Godwin Otuodichinma Akaba ◽  
Ikechukwu Innocent Mbachu ◽  
Ayyuba Rabiu ◽  
Olabisi Morebise Loto ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Hepatitis B ◽  
Pregnant Women ◽  
Vaccination Coverage ◽  
Cross Sectional Study ◽  
Hepatitis B Vaccination ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Level Of Education

Objective: To determine the hepatitis B vaccination coverage, full-dose (⩾3) coverage and the associated factors affecting uptake among pregnant women. Methods: This was a cross-sectional study among pregnant women attending antenatal care in six tertiary hospitals across all the geopolitical zones of Nigeria. Pregnant women who consented to the study completed screening questions about their hepatitis B vaccination status and coverage. The main outcome measures were hepatitis B vaccination coverage rate, dose, and factors affecting uptake. Bivariate analysis was performed by the chi-square test and conditional logistic regression analysis was used to determine variables associated with uptake of the vaccination. Odds ratios (ORs) and adjusted odds ratios (aORs) were calculated and statistical significance was accepted when p-value was < 0.05. Results: Of 159 pregnant women who completed the interview questions, 21 [13.2%, 95% confidence interval (CI) 7.9–18.5%] were vaccinated for hepatitis B for one to three doses. The numbers of doses received were: three doses (8/159, 5.0%), two doses (5/159, 3.1%), and one dose (8/159, 5.0%). The reasons for non-uptake of vaccination included: lack of awareness of the vaccine 83/138 (60.1%), inadequate access to vaccine 11/138 (8.0%), and positivity to hepatitis B virus 10/138 (7.2%). The uptake of hepatitis B vaccination was significantly affected by the level of education (OR 0.284, 95% CI 0.08–1.01, p = 0.041), but in multivariable logistic regression, adjusted for confounders, the association between hepatitis B vaccination and participants’ level of education (aOR 3.09; 95% CI 0.95–10.16; p = 0.061) did not remain significant. Conclusions: In Nigeria, the national hepatitis B vaccination coverage among pregnant women appears poor, with the full-dose coverage even poorer. The level of education was not positively associated with uptake of hepatitis B vaccination, while lack of awareness of the vaccine was the commonest reason for non-uptake. Funding: TETFund National Research Fund 2019 (grant number TETFund/DR&D/CE/NRF/STI/33).

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

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.

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

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.

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

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.

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

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.

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