Prevalence of Metabolic Syndrome in Subjects with Osteoarthritis Stratified by Age and Sex

2010 ◽  
Vol 1 (1) ◽  
pp. 61-73 ◽  
Author(s):  
Ashish Joshi
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Smoking History ◽  
Categorical Variables ◽  
Chi Square ◽  
Final Sample ◽  
Income Ratio ◽  
And Gender ◽  
Gender Categories

The aim of the study was to determine association between osteoarthritis and metabolic syndrome stratified by age and gender categories. A final sample of 16,149 US residents aged 17 years or older was analyzed using the database National Health and Nutrition Examination Survey (NAHNES III). Variables assessed include age, gender, race, education, poverty income ratio, body mass index, smoking history, metabolic syndrome and its risk components. Continuous and categorical variables were compared in the 2 groups using T and chi-square statistics as appropriate. Multivariate analysis was performed after adjusting for the potential confounders. Five percent subjects self-reported of having osteoarthritis. The prevalence of metabolic syndrome in subjects with osteoarthritis was 40% compared to 21% with no osteoarthritis. Subjects with osteoarthritis were significantly older; were females, non-Hispanic whites, less educated and had high prevalence of diabetes, hypertension and high cholesterol. Age, being female, higher education, being non-Hispanic White, absence of osteoporosis, and body mass index were significant predictors of osteoarthritis. Metabolic syndrome was a risk factor for osteoarthritis in males.

Prevalence of Metabolic Syndrome in Subjects with Osteoarthritis Stratified by Age and Sex

2012 ◽  
pp. 60-72
Author(s):  
Ashish Joshi
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Smoking History ◽  
Categorical Variables ◽  
Chi Square ◽  
Health And Nutrition ◽  
Income Ratio ◽  
And Gender ◽  
Gender Categories

The aim of the study was to determine association between osteoarthritis and metabolic syndrome stratified by age and gender categories. A final sample of 16,149 US residents aged 17 years or older was analyzed using the database National Health and Nutrition Examination Survey (NAHNES III). Variables assessed include age, gender, race, education, poverty income ratio, body mass index, smoking history, metabolic syndrome and its risk components. Continuous and categorical variables were compared in the 2 groups using T and chi-square statistics as appropriate. Multivariate analysis was performed after adjusting for the potential confounders. Five percent subjects self-reported of having osteoarthritis. The prevalence of metabolic syndrome in subjects with osteoarthritis was 40% compared to 21% with no osteoarthritis. Subjects with osteoarthritis were significantly older; were females, non-Hispanic whites, less educated and had high prevalence of diabetes, hypertension and high cholesterol. Age, being female, higher education, being non-Hispanic White, absence of osteoporosis, and body mass index were significant predictors of osteoarthritis. Metabolic syndrome was a risk factor for osteoarthritis in males.

Abstract 103: Determinants of Quality of Life in Permanent Pacemaker Patients: a Cross-Sectional Analysis

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Rhanderson N Cardoso ◽  
Daniel Garcia ◽  
Alexandre Benjo ◽  
Francisco Macedo ◽  
Cesar Benjo ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Body Mass ◽  
Well Being ◽  
Permanent Pacemaker ◽  
Smoking History ◽  
Categorical Variables ◽  
Cross Sectional ◽  
Sf 36

Background: Permanent pacemakers (PPM) have improved cardiovascular outcomes and quality of life (QoL) in patients with a wide variety of cardiac rhythm disturbances. Nevertheless, misperceptions about the safety of daily activities (SODA) and associated factors can compromise patients’ absolute well-being. We aimed to study factors associated with worst QoL in PPM patients. Methods: PPM patients from a tertiary hospital answered an 18-question questionnaire about their perception on the SODA, which was scored based on misperception rate. Patients also answered SF-36, a validated QoL questionnaire which is scored from 0 to 100 on each of its 8 scales. Baseline characteristics were compared to average on SF-36 scales in a cross-sectional model by t-test for categorical variables and by univariable regression for continuous variables. Statistical analysis was done with Stata software 10.0 (Texas). Results: A total of 75 PPM patients aged 65.3±12 years were included, of which 31 (41%) were males. Most common reason for PPM was 3rd degree atrioventricular block (44%). Body mass index (p=0.019) and misperception rate on SODA (p=0.003) presented a significant negative regression coefficient with SF-36 average. Age, gender, average income, Chagas disease etiology, diabetes, hypertension, ejection fraction, NYHA classification, previous myocardial infarction (MI), smoking history and peripheral vascular disease were not significantly associated with SF-36 QoL results. Conclusions: In a cross-sectional study, body mass index and misperceptions about the safety of daily-life activities were associated with worst quality of life in patients with permanent pacemaker. These results suggest that optimal physician education of patients and their families about the SODA for PPM patients may ultimately improve patients’ well-being.

scholarly journals Relationship between Body Mass Index and Gender with Asthma

2021 ◽  
Vol 9 (2) ◽  
pp. 115
Author(s):  
Dewi Puji Ayuningrum ◽  
Risna Nur Fajariyah ◽  
Randy Novirsa ◽  
Erni Astutik
Keyword(s):  
Body Mass Index ◽  
Logistic Regression ◽  
Body Mass ◽  
Life Support ◽  
Statistical Significance ◽  
Secondary Data ◽  
The Other ◽  
Chi Square ◽  
Cross Sectional ◽  
And Gender

Background: Asthma is ranked 16th among the leading causes of years lived with disability (YLD) and ranks 28th among the causes of global burden of disease (GBD). Various potential factors can cause asthma, which include body mass index (BMI) and gender. Purpose: This research aimed to determine the relationship between BMI and gender in people living with asthma in Indonesia. Methods: This research employed secondary data obtained from the Indonesian family life support (IFLS) 5th edition. This research used an observational analysis technique with a cross-sectional approach. The number of respondents in this research were 30,713. In this study, the BMI category was based on WHO’s classification for Asians. Data was analyzed using logistic regression tests and chi square. Statistical significance was set at a value of p<0.05. Results: As many as 17,175 respondents had a normal BMI range (56.92%), out of which the majority were women—16,001 respondents (52.10%). After controlling the other variables, statistical test results with logistic regression indicated that male respondents had 1.23 times the odds of experiencing asthma compared to females (adjusted odds ratio (AOR)=1.23; 95% confidence interval (CI), 1.04–1.44; p=0.02). Again, after controlling the other variables, underweight respondents had 1.31 times the odds of experiencing asthma compared to respondents who had a normal BMI (AOR=1.31; 95%CI=1.07–1.59; p=0.01). Conclusion: A relationship between gender and the category of people who were underweight after determining their BMI could be established. Health counseling can be provided to help improve the respiratory conditions of these individuals.

scholarly journals Association between dental fear and eating disorders and Body Mass Index among Finnish university students: a national survey

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohammad Jalil Sharifian ◽  
Vesa Pohjola ◽  
Kristina Kunttu ◽  
Jorma I. Virtanen
Keyword(s):  
Body Mass Index ◽  
Eating Disorders ◽  
University Students ◽  
Body Mass ◽  
Well Being ◽  
Dental Fear ◽  
Chi Square ◽  
And Gender ◽  
Mental Well Being ◽  
Gender Specific

Abstract Background Little is known about the association between eating disorders (ED) and dental fear. This study investigated the association between dental fear and EDs through body mass index (BMI), and SCOFF (sick, control, one stone, fat, food) questionnaire among Finnish university students. We hypothesised that dental fear is associated with EDs and BMI. Methods We used the latest data from the Finnish University Student Health Survey 2016. This survey targeted undergraduate Finnish students (n = 10,000) of academic universities and universities of applied sciences. We enquired about e.g. age, gender, height, weight, educational sector and perceived mental well-being. We used the SCOFF questionnaire to assess those at risk for developing EDs. The question ‘Do you feel scared about dental care?’ enquired about dental fear. We used the chi-square test and gender-specific logistic regression to analyse the associations between dental fear, EDs and BMI controlling for age, educational sector and mental well-being. Results In total, 3110 students participated in the study. Overall 7.2% of the students reported high dental fear and 9.2% scored SCOFF positive; more women than men reported high dental fear (11.2% vs. 3.8%, p < 0.001) and scored positive on SCOFF (14.2% vs. 3.6%, p < 0.001). Gender modified the association between dental fear and EDs and BMI. Among females, when controlling for educational sector and BMI, those with positive SCOFF score were more likely to have high dental fear than those with negative SCOFF score (OR = 1.6; CI = 1.0–2.4). After adding perceived mental well-being to the gender-specific regression analyses, overweight and obese males, BMI ≥ 25 (OR = 2.4; CI 1.3–4.4) and females with poor to moderate mental well-being (OR = 2.1; CI 1.4–2.9) were more likely than their counterparts to have high dental fear. Conclusions Among the Finnish university students BMI in males and problems of mental well-being in females were positively associated with high dental fear. The results of this study support possible common vulnerability factors that dental fear and other psychological disorders may share.

scholarly journals Hubungan Status Sosial Ekonomi dengan Indeks Massa Tubuh (IMT) di Kecamatan Tamalanrea Kota Makassar

2021 ◽  
pp. 91-101
Author(s):  
Meilinda Aji Syahputri ◽  
Zulfahmidah Zulfahmidah ◽  
Windy Nurul Aisyah
Keyword(s):  
Body Mass Index ◽  
Nutritional Status ◽  
Body Mass ◽  
Good Health ◽  
The Body ◽  
Categorical Variables ◽  
P Value ◽  
Chi Square ◽  
Design Data ◽  
Chi Square Analysis

Background: Nutrition is a factor that plays an important role in the development of a nation. One simple waythat can be used to determine nutritional status is to measure the Body Mass Index (BMI) or Body Mass Index(BMI). One of the factors that play a role in determining a person's nutritional status is the socioeconomic level.The socio-economic level includes education, income, and work which are indirect causes of nutritionalproblems. Efforts to improve good health are related to economic capacity with income levels and socialconditions of household members. How economics plays a role in the health record of each individual. Thepurpose of this study was to see the status of the socio-economic relationship with the Body Mass Index (BMI).Methods: This study is a descriptive research design. Data collected using a questionnaire. The data of thisstudy were categorical variables from 2 groups so that it used the Chi-Square test. Results: From 84 samples,based on the calculation of IBM SPSS Statistic 23 using the Chi-Square analysis test, it was obtained that the P-value (0.125) ≥ 0.05, then H0 was accepted and Ha was rejected, meaning that there was no influence of BMIinfluence on socio-economic factors. Conclusion: There is no relationship between socioeconomic status andBody Mass Index (BMI).

scholarly journals Determinants of Blood Pressure among Youth in Ajman, UAE

1970 ◽  
Vol 1 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Jayadevan Sreedharan ◽  
Elsheba Mathew ◽  
Jayakumary Muttappallymyalil ◽  
Shatha Al Sharbatii ◽  
Rizwana B Shaikh ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Crude Odds Ratio ◽  
Cross Sectional ◽  
The Mean ◽  
And Gender ◽  
Medical University

BackgroundYouth is a vulnerable group for developing almost all life-style related diseases. The present cross-sectional study was conducted to assess the determinants of blood pressure among entry year students in a medical university in Ajman, United Arab Emirates.Materials and Methods  One hundred and ten students from Gulf Medical University, Ajman, UAE participated in the study. A pretested structured questionnaire was used for data collection. Predictive Analytic Software 17 was used for data analysis. Chi-square test, Univariate and multivariate logistic regression were used.ResultsVariables such as tobacco use, duration of sleep, Body Mass Index and gender were considered to assess the association with blood pressure. The mean age of the students was 19 years with a SD of 1.9 years. The mean systolic and diastolic blood pressure was 113.5 (SD 12.0) and 73.7 (SD 11.2) respectively with mean BMI of 24.9 (SD 5.7). A statistically significant association was observed between gender and blood pressure (p<0.05). The crude Odds Ratio (OR) observed for sleep duration and blood pressure was found statistically significant (p<0.05), but the adjusted OR was not statistically significant. Of the participants who sleep for more than 6 hours, majority (70%) have normal blood pressure. Nearly half of the participants who slept for less than 6 hours have pre-hypertension and/ or hypertension. There was statistically significant (p<0.005) association between Body Mass Index (BMI) and blood pressure (BP). The mean BMI among those with normal BP was 23.25 kg/m2 with a SD of 4.6 and those with pre-hypertension and/ or hypertension was 27.6 kg/m2 with a SD of 6.5.ConclusionGender and BMI are the significant factors associated with Blood pressure. The findings may be used to create strategies to impart awareness of the dangers of increased blood pressure among obese and non obese students.Key Words: Body Mass Index; Blood Pressure; UAEDOI: 10.3126/nje.v1i1.4107Nepal Journal of Epidemiology 2010;1 (1):17-21

scholarly journals Pancreatic Fat Is Associated With Metabolic Syndrome and Visceral Fat but Not Beta-Cell Function or Body Mass Index in Pediatric Obesity

Pancreas ◽  
2017 ◽  
Vol 46 (3) ◽  
pp. 358-365 ◽  
Author(s):  
Johan Staaf ◽  
Viktor Labmayr ◽  
Katharina Paulmichl ◽  
Hannes Manell ◽  
Jing Cen ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Beta Cell ◽  
Body Mass ◽  
Visceral Fat ◽  
Pediatric Obesity ◽  
Beta Cell Function ◽  
Cell Function ◽  
Pancreatic Fat

Short-Term Outcomes Following Removal of Infected Hernia Mesh

2021 ◽  
pp. 000313482110241
Author(s):  
Christine Tung ◽  
Junko Ozao-Choy ◽  
Dennis Y. Kim ◽  
Christian de Virgilio ◽  
Ashkan Moazzez
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Body Mass ◽  
Smoking History ◽  
Multivariate Logistic Regression ◽  
Short Term ◽  
Mesh Removal ◽  
Mesh Placement ◽  
Infected Mesh

There are limited studies regarding outcomes of replacing an infected mesh with another mesh. We reviewed short-term outcomes following infected mesh removal and whether placement of new mesh is associated with worse outcomes. Patients who underwent hernia repair with infected mesh removal were identified from 2005 to 2018 American College of Surgeons-National Surgical Quality Improvement Program database. They were divided into new mesh (Mesh+) or no mesh (Mesh-) groups. Bivariate and multivariate logistic regression analyses were used to compare morbidity between the two groups and to identify associated risk factors. Of 1660 patients, 49.3% received new mesh, with higher morbidity in the Mesh+ (35.9% vs. 30.3%; P = .016), but without higher rates of surgical site infection (SSI) (21.3% vs. 19.7%; P = .465). Mesh+ had higher rates of acute kidney injury (1.3% vs. .4%; P = .028), UTI (3.1% vs. 1.3%, P = .014), ventilator dependence (4.9% vs. 2.4%; P = .006), and longer LOS (8.6 vs. 7 days, P < .001). Multivariate logistic regression showed new mesh placement (OR: 1.41; 95% CI: 1.07-1.85; P = .014), body mass index (OR: 1.02; 95% CI: 1.00-1.03; P = .022), and smoking (OR: 1.43; 95% CI: 1.05-1.95; P = .025) as risk factors independently associated with increased morbidity. New mesh placement at time of infected mesh removal is associated with increased morbidity but not with SSI. Body mass index and smoking history continue to contribute to postoperative morbidity during subsequent operations for complications.

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