Body mass index is the main risk factor for arterial hypertension in young subjects without major comorbidity

2003 ◽  
Vol 33 (3) ◽  
pp. 223-230 ◽  
Author(s):  
Arno Lukas ◽  
Friedrich Kumbein ◽  
Christian Temml ◽  
Bernd Mayer ◽  
Rainer Oberbauer
2018 ◽  
Vol 69 (7) ◽  
pp. 1842-1845
Author(s):  
Lavinia Stelea ◽  
Izabella Petre ◽  
Marius Craina ◽  
Brigitha Vlaicu ◽  
Alina Sisu ◽  
...  

The aim of this study was to determine if body mass can be considered a risk factor for infertility, and if we can find any correlations between the age values and the FSH and estradiol values, and between the BMI values and the FSH and estradiol values. Our whole sample contains 100 patients splinted in two groups (pregnant patients N1=57 subjects, 57%, and not � pregnant patients N1=43 subjects,43%). In the first part we conducted our analysis on the whole group and after that we focused the analysis on the two groups and we made some comparisons between the groups. We obtained a medium, extremely significant correlation in all scenarios between the age and the FSH values. This is the best association from all the cases which we tested. In all twelve cases we have a positive correlation (r ] 0). As well, we obtained that a BMI value higher than 25can be considered a risk factor for obtaining a pregnancy (p[0.05, RR ] 1, OR]1) . Our study shows that women who have weight problems have much less chances of conceiving a baby, even if they ovulate normally. The risk of infertility increases proportionally to the extra pounds. Irregular ovulation in women is the most common fertility disorder due to obesity disease.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044228
Author(s):  
Henry Oliveros ◽  
Rafael Lobelo ◽  
Luis Fernando Giraldo-Cadavid ◽  
Alirio Bastidas ◽  
Constanza Ballesteros ◽  
...  

ObjectivesObstructive sleep apnoea (OSA)/hypopnoea syndrome is associated with serious and major multiorgan morbidities, particularly in its most severe forms. However, no severe OSA screening instruments are available for high altitude residents that enable adequate identification and clinical prioritisation of such patients. We aimed at developing a severe OSA prediction tool based on the clinical characteristics and anthropometric measurements of a clinical referral cohort living at 2640 m.a.s.l.DesignCohort-nested cross-sectional study.SettingSleep laboratory for standard polysomnography (PSG) in Colombia.ParticipantsA predictive model was generated from 8718 participants referred to the PSG laboratory. Results were subsequently validated in a second cohort of 1898 participants.Primary outcomeTo identify clinical and anthropometric variables associated with severe OSA (>30 events/hour) and to include them in a binary logistic regression model.ResultsThe significant variables that were retained with the presence of severe OSA included Body mass index (BMI), Age, Sex, Arterial hypertension and Neck circumference (BASAN). The area under the receiver operating characteristic curvefor the BASAN index was 0.69 (95% CI: 0.68 to 0.70) in the derivation cohort and 0.67 (95% CI: 0.65 to 0.69) in the validation cohort, whereby a BASAN index ≥2 had a sensitivity of 95% and a specificity of 17% to detect severe OSA.ConclusionAn objectively based approach to screen for the presence of severe OSA, the BASAN index, exhibits favourable sensitivity characteristics that should enable its operational use as a screening tool in a Hispanic population with a clinical suspicion of OSA and living at high altitude.


Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.


2010 ◽  
Vol 152A (11) ◽  
pp. 2895-2897 ◽  
Author(s):  
Sheree L. Boulet ◽  
Sonja A. Rasmussen ◽  
Margaret A. Honein

2001 ◽  
Vol 45 (2) ◽  
pp. 160-166 ◽  
Author(s):  
P. Kranke ◽  
C. C. Apfel ◽  
T. Papenfuss ◽  
S. Rauch ◽  
U. Löbmann ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Akiko Toda ◽  
Shigeko Hara ◽  
Hiroshi Tsuji ◽  
Yasuji Arase

Abstract Background and Aims Obesity is a risk factor for chronic kidney disease (CKD), but the effect of reducing body mass index (BMI) on the prevention of CKD is controversial. One of reasons for this disagreement is that part of patients with a BMI decrease may have an unfavourable health status. In such cases, the BMI decrease could be a risk factor for the development of CKD. Therefore, by analysing the data of annual health check-ups, we examined an association between BMI change and CKD development to determine whether BMI reduction helps prevent CKD development. Method We analysed the data of 6,959 subjects who underwent annual health check-ups in both 2013 and 2018. By a multivariate logistic regression analysis, we investigated a relationship between BMI change and CKD development within the 5 years between 2013 and 2018. The percent change in the BMI (ΔBMI) was calculated using the following equation: {(BMI in 2018 − BMI in 2013)/BMI in 2013} ×100. For analyses, we classified the subjects into five groups based on their ΔBMI value: (i) severe BMI decrease (ΔBMI <−2.5%); (ii) moderate BMI decrease (ΔBMI ≥−2.5% but <0%); (iii) maintained BMI (ΔBMI ≥0% but <2.5%); (iv) moderate BMI increase (ΔBMI ≥2.5% but <5%); (v) severe BMI increase (ΔBMI ≥5%). For further analysis, we divided the subjects into non-obesity category (basal BMI <25 Kg/m2) and obesity category (basal BMI ≥25 Kg/m2). Subjects with an estimated glomerular filtration rate <60 mL/min./1.73 m2 were defined as having a CKD. Results After adjusting several covariates, compared with the maintained BMI group, the severe BMI decrease group showed a significantly low risk of CKD development (odds ratio (OR) 0.70, 95% confidence intervals (CI) 0.54-0.91, p <0.01) and the severe BMI increase group had a significantly high risk (OR 1.40, CI 1.08-1.81, p = 0.01). A farther analysis revealed that the OR of CKD development for the severe BMI increase group in the obesity category was higher than that in the non-obesity category (OR 1.75 vs. 1.29). Conclusion In subjects who underwent annual health check-ups, BMI reduction had a significant effect on the prevention of CKD development, whereas an increase in the BMI was a risk factor for CKD development. Moreover, by severe increase in the BMI, obesity subjects showed higher risk of CKD development than non-obesity subjects.


2008 ◽  
Vol 7 ◽  
pp. 23-28
Author(s):  
B. M. Doronin ◽  
Ye. A. Vas’kina ◽  
O. A. Denisova

The aim of work is to exposure how disbalance of male sex hormones in the period of the age-specific reorganization affects development of atherosclerosis and vascular disorders by the example of ischemic stroke, establishment of correlation between hormonal dysfunction by the example testosterone and lipid metabolism according to the somatic type in the critical period of ischemic stroke. The pilot analysis of level of sex hormones by the example testosterone, lipids and body mass index confirms that there is correlation between these indices. Rising of body mass index is accompanied by reduction of sex hormone concentration, but for all that levels of cholesterol and atherogenic fraction are increased.


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