scholarly journals Distribution of Helicobacter pylori infection and abnormal body- mass index (BMI) in a developing country

2018 ◽  
Vol 12 (05) ◽  
pp. 342-346 ◽  
Author(s):  
Basit Siddiqui ◽  
Javed Yakoob ◽  
Zaigham Abbas ◽  
Rabeea Azmat ◽  
Syeda Sadia Fatima ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Helicobacter Pylori ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Comorbid Conditions ◽  
Cross Sectional ◽  
Artery Disease ◽  
H Pylori

Introduction: Helicobacter pylori is prevalent in developing nations. We determined the prevalence of H. pylori infection in relation to body-mass index (BMI) of dyspeptic patients and related comorbid conditions. Methodology: In a cross-sectional study, dyspeptic patients were enrolled and tested for H. pylori infection. “Underweight” was defined as BMI lower than 18.4; “Healthy” 18.5 to 23; “Overweight” 23.1-27.9; and “Obese” greater than 28. Results: Six hundred and ninety-eight patients were included, with a mean age of 44 ± 16 years. Males were 373/698, 53%. H. pylori was positive in 399/698, 57%. Underweight were 36 (5%); BMI-healthy 168 (24%); overweight 236 (34%) and obese 258 (37%). H. pylori infection was present in 65/273 BMI-healthy patients ; 24% compared to obese 208/273; 76% (P < 0.001). In the H. pylori- positive with a “healthy” BMI, dyslipidemia was seen in 6/65; 8% compared to obese 53/208; 25% (P = 0.005); type 2 diabetes in 8/65; 12% with a “healthy” BMI compared to obese 54/208; 26% (P = 0.022) and coronary artery disease in 4/65; 6% of BMI-healthy compared to obese 38/208; 18% patients (P = 0.018). Multivariate analysis showed that age 31-50 years (OR 1.77, 95% CI 1.13-2.77), BMI > 23.1 (OR 2.91, 95% CI infection. 2.01-4.20), and type 2 diabetes (OR 2.41, 95% CI 1.43-4.06) were risk factors for H. pylori Conclusions: H. pylori infection was prevalent in the 31-50-year age group. Abnormal BMI was associated with H. pylori infection.

scholarly journals Inner-city green space and its association with body mass index and prevalent type 2 diabetes: a cross-sectional study in an urban German city

BMJ Open ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. e019062 ◽  
Author(s):  
Grit Müller ◽  
Roland Harhoff ◽  
Corinna Rahe ◽  
Klaus Berger
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Green Space ◽  
Cross Sectional Study ◽  
Geographical Information ◽  
Regression Analyses ◽  
Sectional Study ◽  
Cross Sectional

ObjectiveThe accessibility of green space is an important aspect of the urban residential environment and has been found to be beneficial for health and well-being. This study investigates the association between different indicators of green space and the outcomes body mass index (BMI) and prevalent type 2 diabetes in an urban population.DesignPopulation-based cross-sectional study.SettingDortmund, a city located in the industrial Ruhr area in Western Germany.Participants1312 participants aged 25–74 years from the Dortmund Health Study.MethodsThe participants’ addresses were geocoded and shapefiles of statistical districts, road network and land use, as well as data on neighbourhood characteristics were obtained at baseline. Three indicators of green space were constructed using geographical information systems: proportion of green space, recreation location quotient (RLQ) weighted by population and distance to the next park or forest. Multilevel linear and logistic regression analyses on the association of green space with BMI and type 2 diabetes were performed, adjusted by individual-level characteristics and neighbourhood unemployment rate.ResultsThe multilevel regression analyses showed no association between green space and BMI. In contrast, the three indicators of green space were significantly associated with type 2 diabetes. Residents of neighbourhoods with a low RLQ had a 2.44 (95% CI 1.01 to 5.93) times higher odds to have type 2 diabetes compared with residents of high RLQ neighbourhoods. Likewise, residing more than 0.8 km away from the nearest park or forest increased the odds of type 2 diabetes (OR 1.71, 95% CI 1.05 to 2.77).ConclusionsThis study indicates that green space and its spatial accessibility might play a role in the development of type 2 diabetes. Further research is needed to clarify this association.

scholarly journals Correlation of neck, wrist, and calf circumference with body mass index in type 2 diabetes mellitus patients

2020 ◽  
Vol 4 (1-3) ◽  
pp. 44
Author(s):  
Geo Vanda ◽  
Ardesy Melizah Kurniati ◽  
Tri Suciati ◽  
Irfannudin Irfannudin ◽  
Susilawati Susilawati
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
The Body ◽  
Anthropometric Measurements ◽  
Calf Circumference ◽  
Cross Sectional ◽  
Type 2 Dm

Background: Obesity is one of DM risk factors. Nutritional status can be measured by anthropometric measurements. One of them is body mass index (BMI). Other anthropometric measurements are neck, wrist and calf circumference. The purpose of this study was to determine the association of the neck, wrist and calf circumference with the body mass index of type 2 DM patients in Puskesmas (public health center) Sako Palembang.Methods: In this cross-sectional study, the sample were male or female outpatients aged> 19 years old who had type 2 DM patients at Palembang Sako and/or members of Program Pengelolaan Penyakit Kronis (PROLANIS) affected by type 2 DM. Pregnant or breastfeeding women were excluded. Data were obtained through direct measurements, which were then analyzed using Pearson test and linear regression test.Results: A total 44 patients with type 2 diabetes, consisting of 22 males and 22 females participated. There was significant correlation between male’s (p<0.001, r=0.865) and female’s neck circumference (p<0.001, r=0.756) with BMI. There was also significant correlation between male’s (p=0.002, r=0.696) and  female’s wrist circumference (p<0.001, r = 0.648) with BMI. So was correlation between male’s (p<0.001, r=0.745) and female calf circumference (p=0.005, r=0.578) with BMI.Conclusion. There was significant association between neck, wrist and calf circumference with body mass index of type 2 DM patients.

Abdominal aortic calcification is associated with morbidity of cardiovascular disease and Fib-4 index in type 2 diabetes: a retrospective cross-sectional study

2020 ◽  
Author(s):  
Yu Togashi ◽  
Jun Shirakawa ◽  
Daisuke Miyashita ◽  
Mayu Kyohara ◽  
Tomoko Okuyama ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Cross Sectional Study ◽  
Abdominal Aortic Calcification ◽  
Cross Sectional ◽  
Abdominal Aortic ◽  
Artery Disease

Abstract Background: Little is known about the association between abdominal aortic calcification (AAC) and the risk of cardiovascular disease (CVD) among patients with diabetes. This study evaluated the cross-sectional association between AAC and CVD morbidity in patients with type 2 diabetes. Methods: This retrospective cross-sectional study enrolled 285 inpatients with type 2 diabetes. The lateral view of an abdominal X-ray image obtained while each subject was in a standing position was examined, and the AAC score and AAC length, corresponding to the area of calcific deposits in the anterior and posterior aortic wall for the L1-4 and L1-5 regions, respectively, were measured. The associations between the AAC scores and lengths and the presence of coronary artery disease (CAD), cerebral infarction (CI), and peripheral artery disease (PAD) were then assessed. The correlation between the AAC grades and other clinical factors were also evaluated. Results: The degree of AAC was significantly correlated with a higher prevalence of CAD and CI but not PAD after adjustments for cardiovascular risk factors. The AAC score was inversely correlated with BMI, and both the AAC score and the AAC length were correlated with the Fib-4 index; these correlations persisted after adjustments for cardiovascular risk factors and BMI, although AAC was not associated with ultrasonography-diagnosed fatty liver. Conclusion: AAC is associated with CAD and CI morbidity in patients with type 2 diabetes. AAC grading also predicts the Fib-4 index, a hepatic fibrosis marker, suggesting a novel potential predictor of liver disease that is independent of cardiovascular risk factors and obesity.

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