Ultrasound characteristics of osteophytes in psoriatic arthritis

2020 ◽  
pp. 49-52
Author(s):  
I. F. Fairushina ◽  
E. R. Kirillova ◽  
D. I. Abdulganieva ◽  
E. V. Sukhorukova ◽  
E. I. Mukhametshina
Keyword(s):  
Body Mass Index ◽  
Psoriatic Arthritis ◽  
Data Collection ◽  
Body Mass ◽  
Clinical Characteristics ◽  
Power Doppler ◽  
Structural Components ◽  
Grey Scale ◽  
The Relationship

Objective. To assess the relationship between ultrasound and clinical characteristics of psoriatic arthritis (PsA) and osteophytes detected by ultrasound (US).Methods. Data collection: demographical, clinical, antropometric (body mass index, BMI). US examination included 868 joints and 3348 entheses (bilateral shoulders, acromioclavicular joints, elbows, wrists, hips, knees, ankles; entheses at the projection of these joints (total number is 54). In the joints – synovitis count, Power Doppler (PD) + synovitis count (SC), the number of joints with osteophytes; in entheses – Grey Scale (GS) enthesitis count (EC), PD + EC, count of entheses with structural components (erosion, enthesophytes, calcification).Results. In all, 62 PsA patients were examined: 32 (51.6%) were women, mean age was 43.0 ± 10.4 years, the duration of PsA was 7 (3; 10) years. The number of joints with osteophytes was 314 of 868 (36.2%). US osteophytes were detected in 51 (82.3%) patients. The number of joints with osteophytes correlated with GS EC (r = 0.398; p < 0.01), PD + EC (r = 0.302; p < 0.05), SC (r = 0.425; p < 0.01), and PD + SC (r = 0.322; p < 0.05). Patients without osteophytes, with local and generalized osteophytes were comparable by sex and duration of the disease. In patients with generalized osteophytes, GS EC (p < 0.05), PD + SC (p < 0.05), SC (p < 0.01), comorbid pathology (p < 0.05), BMI (p < 0.05) were significantly higher.Conclusion. The frequency of osteophytes in patients with PsA was high. The number of synovitis and enthesitis, both GC and PD+, was more common in patients with generalized osteophytes, which probably suggests an important role of entheseal and synovial inflammation in PsA in the development of osteophytes. BMI and the frequency of comorbidities in patients with generalized osteophytes were higher.

scholarly journals Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Sleep Duration ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
High Systolic Blood Pressure ◽  
Television Time ◽  
The Relationship ◽  
Moderating Role

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.

scholarly journals The Relationship of Body Mass Index with Disease Activity in Ankylosing Spondylitis

2020 ◽  
Vol 3 (2) ◽  
pp. 71-85
Author(s):  
Raouf Merza ◽  
Kurdistan Ali ◽  
Dlair Mohamad ◽  
Sundus Wahhab
Keyword(s):  
Body Mass Index ◽  
Disease Activity ◽  
Body Mass ◽  
Clinical Characteristics ◽  
Disease Activity Score ◽  
Activity Score ◽  
P Value ◽  
Disease Characteristics ◽  
And Gender ◽  
The Relationship

Find out the relationship between body mass index (BMI) and W.C with disease activity scorein AS patients and its association with clinical characteristics of AS. One hundred and five patients (75 male and 30 female) who visited rheumatology and medical rehabilitation centerin Sulaimani city were recorded in this cross-sectional study. Disease activity was measured by ASDAS-ESR in the hand-held calculator.BMI was calculated and waist circumference(W.C.) was measured and both were evaluated with disease activity score and disease characteristics in those with normal BMI and W.C and those with abnormal BMI and W.C.Data of one hundred and five patients were involved in this study with a mean age of 37±9.5 years with the predominance of male gender (71.4%). The mean BMI of the patients was27.2±4.6 kg/m², 28.6% of them were obese and 35.2% of them were overweight. Patients who were overweight, obese and increased W.C had significantly higher disease activity scoresand older compared to those who had normal BMI and W.C(p value<0.05).There was no statistically significant difference between the two groups in terms of peripheral arthritis,disease duration, clinical characteristics of AS, and gender (P value>0.05). Overweight, obesity and increased W.C are common among AS patients and significantly related to disease activity score and age, but not with disease characteristics and gender

scholarly journals TNF-α and Hyperandrogenism: A Clinical, Biochemical, and Molecular Genetic Study

2001 ◽  
Vol 86 (8) ◽  
pp. 3761-3767 ◽  
Author(s):  
Héctor F. Escobar-Morreale ◽  
Rosa M. Calvo ◽  
José Sancho ◽  
José L. San Millán
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Mass ◽  
Molecular Genetic ◽  
Molecular Genetic Study ◽  
Tnf Α ◽  
Serum Androgens ◽  
17 Hydroxyprogesterone ◽  
The Relationship

To evaluate the role of TNF-α in the pathogenesis of hyperandrogenism, we have evaluated the serum TNF-α levels, as well as several polymorphisms in the promoter region of the TNF-α gene, in a group of 60 hyperandrogenic patients and 27 healthy controls matched for body mass index. Hyperandrogenic patients presented with mildly increased serum TNF-α levels as compared with controls (mean[median] ± sd: 7.2[7.0] ± 3.3 pg/ml vs. 5.6[4.4] ± 4.0 pg/ml, P &lt; 0.02). Although no differences in body mass index and insulin resistance indexes were observed between patients and controls, when subjects were classified by body weight, serum TNF-α was increased only in lean patients as compared with lean controls, but this difference was not statistically significant when comparing obese patients with obese controls. The TNF-α gene polymorphisms studied here (−1196C/T, −1125G/C,− 1031T/C, −863C/A, −857C/T, −316G/A, −308G/A, −238G/A, and− 163G/A) were equally distributed in hyperandrogenic patients and controls. However, carriers of the −308A variant presented with increased basal and leuprolide-stimulated serum androgens and 17-hydroxyprogesterone levels when considering patients and controls as a group. No differences were observed in serum TNF-α levels, body mass index, and insulin resistance indexes, depending on the presence or absence of these variants. In conclusion, our present results suggest that the TNF-α system might contribute to the pathogenesis of hyperandrogenism, independent of obesity and insulin resistance. However, elucidation of the precise mechanisms underlying the relationship between the TNF-α system and androgen excess is needed before considering TNF-α as a significant contributing factor to the development of hyperandrogenism.

The mediating role of energy intake on the relationship between screen time behaviour and body mass index in adolescents with obesity: The HEARTY study

Appetite ◽  
2016 ◽  
Vol 107 ◽  
pp. 437-444 ◽  
Author(s):  
Jameason D. Cameron ◽  
Danijela Maras ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Michael M. Borghese ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Energy Intake ◽  
Body Mass ◽  
Screen Time ◽  
Time Behaviour ◽  
Mediating Role ◽  
The Relationship

scholarly journals The relationship between body mass index, waist circumference and psoriatic arthritis in the Turkish population

2016 ◽  
Vol 3 ◽  
pp. 219-223
Author(s):  
Dilek Biyik Ozkaya ◽  
Nahide Onsun ◽  
Bugce Topukçu ◽  
Ozlem Su ◽  
Anil Gulsel Bahalı ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Psoriatic Arthritis ◽  
Waist Circumference ◽  
Body Mass ◽  
Turkish Population ◽  
The Relationship

Do sleep quality and caffeine consumption mediate the relationship between late chronotype and body mass index?

2021 ◽  
Author(s):  
Mahmut Bodur ◽  
Büşra Başpınar ◽  
Ayşe Özfer Özçelik
Keyword(s):  
Body Mass Index ◽  
Sleep Quality ◽  
Body Mass ◽  
Caffeine Consumption ◽  
Beverage Consumption ◽  
The Relationship

Aim: To determine the role of sleep quality and caffeinated beverage consumption in the effect of late chronotype on body mass index (BMI). Materials and methods: The study consisted of...

The mediating role of sleep in the relationship between Indigenous status and body mass index in Australian school‐aged children

2018 ◽  
Vol 55 (8) ◽  
pp. 915-920 ◽  
Author(s):  
Melissa Deacon‐Crouch ◽  
Stephen Begg ◽  
Joseph Tucci ◽  
Isabelle Skinner ◽  
Timothy Skinner
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Australian School ◽  
Indigenous Status ◽  
Mediating Role ◽  
School Aged Children ◽  
The Relationship
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