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189 results for “body mass index”
Body Mass Index, Academic Stress and Musculoskeletal Disorders Relationships
ClinicalTrials.gov study NCT02947659. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Activities of Daily Living and Upper Extremity Exercise Capacity of Individuals with High Body Mass Index
ClinicalTrials.gov study NCT06745310. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlation Between Sleep Quality , Physical Fitness and Body Mass Index
ClinicalTrials.gov study NCT06815900. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Body mass index trends and its impact of under and overweight on outcome among PLHIV on antiretroviral treatment in rural Tanzania: A prospective cohort study
<p>This is anonymized datasets used for assessment of body mass index (BMI) trends among HIV positive individuals enrolled in HIV care and initiated on antiretroviral therapy. The study is an observational and prospective study. This dataset is a subset of the on-going Kilombero and Ulanga Antiretroviral Cohort (KIULARCO). The dataset uploaded is Stata datasets and their corresponding codebook is included in word format.</p>
The Difference Seen in Granulosa Cells and Immature Oocytes in IVF Treated Patients Sorted by Body Mass Index (BMI)
ClinicalTrials.gov study NCT03020173. IPD Sharing: NO. Countries: 0. Publications: 0.
Data set from the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.
<p>The data set refers on the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.</p> <p>This is the abstract:</p> <p><strong>Background and aims: </strong>Adults with congenital heart disease (ACHD) are at risk of overweight and obesity, two major health problems, though underweight can be a negative prognostic factor too. Awareness of the body mass index (BMI) in ACHD is very limited. The present study describes the use and prevalence of BMI in Italian symptomatic hospitalized ACHD patients in relation to complexity by Bethesda system classification, diagnosis, sex and age.</p> <p><strong>Methods and results: </strong>We classified 1388 ACHD patients, aged 18-69 years, on the basis of their BMI, and compared them to the Italian reference population. In our total ACHD population we found a significantly higher prevalence of underweight compared to the Italian reference population (6.34% vs 3.20%). ACHD women were more underweight than men. Underweight decreased with age. Overweight was significantly less frequent in the total ACHD population (26.73% compared to 31.70%) in the Italian reference population. Men were more likely to be overweight than women. In statistical terms obesity was similar in the Italian reference population (10.50%) and our ACHD population (9.58%). Both overweight and obesity increased with age. Results were comparable using a diagnostic anatomical-functional classification and the Bethesda system classification.</p> <p><strong>Conclusions: </strong>In our cohort of ACHD the prevalence of underweight was double that of the Italian reference population. The prevalence of overweight was lower, while obesity was similar. Since BMI does not account for differences in body fat distribution, a future aim will be to quantify the visceral component of the adipose tissue in ACHD patients and examine their body composition in order to reflect their risk of acquired cardiovascular disease better, and either to maintain or achieve an adequate visceral component.</p>
The association between body mass index and fibromyalgia severity: data from a cross-sectional survey of 2339 patients
<p>The association between body mass index and fibromyalgia severity: data from a cross-sectional survey of 2339 patients</p> <p>Objective Various studies have shown that overweight and obesity are central features of FM, but<br> the real impact of a high BMI on clinical severity in patients with FM is still controversial. The aim of<br> this study was to analyse the relationships between BMI categories and measures of symptom severity<br> and functional impairment using data from a Web-based registry of patients with FM.<br> Methods Adult patients with an ACR 2010/2011 diagnosis of FM underwent a complete physical examination<br> and laboratory tests and were asked to complete a package of questionnaires covering their<br> sociodemographic and treatment details, in addition to the following disease-specific questionnaires:<br> the revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromyalgia Assessment Status<br> questionnaire (ModFAS) and the Polysymptomatic Distress Scale (PDS).<br> Results A total of 2339 patients were recruited and divided into two weight categories, underweight/<br> normal (U/N, n¼1127, 48.2%) and overweight/obese (O/O, n¼1212, 51.8%). The total and subscales significantly higher in the O/O patients, as were all the mean scores of the individual FIQR items<br> (P<0.001 for all).<br> Conclusion Our findings demonstrate that O/O patients with FM are significantly more impaired than<br> U/N patients in all the symptomatological and functional domains as measured using the FIQR,<br> ModFAS and PDS, thus suggesting that being O/O has an additional effect on symptoms and<br> function.</p>
Dataset related to the article "A Breathtaking Lift: Sex and Body Mass Index Differences in Cardiopulmonary Response in a Large Cohort of Unselected Subjects with Acute Exposure to High Altitude" 2021
<p><strong><em>Background:</em></strong> Every year, thousands of people travel to high altitude and experience hypoxemia. At high altitude, the partial pressure of oxygen decreases. The aim of this observational study was to determine if there is a relationship between anthropometric features and basic cardiorespiratory variables, including oxygen saturation (SpO<sub>2</sub>), heart rate (HR), and blood pressure (BP), following acute exposure to high altitude. <strong><em>Materials and Methods:</em></strong> At the 3,466 m top of a cableway station, we installed an automated system for measuring peripheral SpO<sub>2</sub>, HR, BP, height, weight, and body mass index (BMI). <strong><em>Results:</em></strong> Between January and October 2020, out of 4,874 volunteers (age 39.9 ± 15.4 years, male 54.4%), 3,267 provided complete data (1,808 cases during winter and 1,459 during summer). SpO<sub>2</sub> was 86.8% ± 6.8%. At multivariable analysis, SpO<sub>2</sub> was significantly associated with age, sex, season, BMI, and HR but not with BP. We identified 391 (12%) subjects with SpO<sub>2</sub> ≤80%: they were older, with a higher BMI and HR but without sex or BP differences. Finally, winter season was associated with greater frequency of SpO<sub>2</sub> ≤80% (13.3% vs. 10.3%, <em>p</em> = 0.008). <strong><em>Conclusion:</em></strong> Our data show that high BMI, older age, and male sex were associated with greater degrees of hypoxemia following exposure to high altitude, particularly during the winter.</p>
Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.
<p>Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.</p> <p> </p> <p>Astract</p> <p> </p>
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