Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 46
Filter
1.
Data Technologies and Applications ; 56(4):626-643, 2022.
Article in English | ProQuest Central | ID: covidwho-2037645

ABSTRACT

Purpose>This research aims to collect human body variables via 2D images captured by digital cameras. Based on those human variables, the forecast and recommendation of the Digital Camouflage Uniforms (DCU) for Taiwan's military personnel are made.Design/methodology/approach>A total of 375 subjects are recruited (male: 253;female: 122). In this study, OpenPose converts the photographed 2D images into four body variables, which are compared with those of a tape measure and 3D scanning simultaneously. Then, the recommendation model of the DCU is built by the decision tree. Meanwhile, the Euclidean distance of each size of the DCU in the manufacturing specification is calculated as the best three recommendations.Findings>The recommended size established by the decision tree is only 0.62 and 0.63. However, for the recommendation result of the best three options, the DCU Fitting Score can be as high as 0.8 or more. The results of OpenPose and 3D scanning have the highest correlation coefficient even though the method of measuring body size is different. This result confirms that OpenPose has significant measurement validity. That is, inexpensive equipment can be used to obtain reasonable results.Originality/value>In general, the method proposed in this study is suitable for applications in e-commerce and the apparel industry in a long-distance, non-contact and non-pre-labeled manner when the world is facing Covid-19. In particular, it can reduce the measurement troubles of ordinary users when purchasing clothing online.

2.
Indian Journal of Forensic Medicine and Toxicology ; 16(3):208-213, 2022.
Article in English | EMBASE | ID: covidwho-2033603

ABSTRACT

Background: The COVID-19 pandemic has spread worldwide, forcing governments to implement quarantines as a preventive measure against the spread of the virus. Quarantine causes changes in lifestyle and anthropometry status among communities. Objective: To describe the lifestyle and anthropometric status of medical students batch 2018 FM UA during the pandemic. Methods: This was a descriptive study using online questionnaires from September 2020 to February 2021. Results: There were variations in students’ anthropometry. Students’ average height is 161.110 cm, the average weight is 60.308 cm, the average body mass index is 23.193 cm, the average upper arm circumference is 27.846 cm, and the average abdominal circumference is 79.621 cm. Furthermore, 145 respondents (81.9%) stated that they experienced changes in their lifestyle during the pandemic. A total of 89 respondents (50.3%) continued to exercise and the other 88 respondents (49.7%) did not. Regarding the sleep pattern, 108 respondents (61%) had quite good sleep quality and 50 respondents (28.2%) had quite poor sleep quality. For the food consumption pattern, 46 respondents (26%) ate more sweet foods. Furthermore, 156 respondents (88.1%) did sedentary activities, with 77 respondents (43.5%) doing sedentary behavior for more than 6 hours a day. Conclusion: During the COVID-19 pandemic, the anthropometric status of medical students batch 2018 FMUA varied;and tend to maintain their physical activity, have quite good sleep quality, prefer eating sweet foods, and do a sedentary behavior for a longer duration

3.
International Journal of Environmental Research and Public Health ; 19(17):10797, 2022.
Article in English | ProQuest Central | ID: covidwho-2023705

ABSTRACT

The practice of physical activity during adolescence is essential for the proper development of the population. In recent decades, the relevance of physical activity has been increasing, due to the development of the “fat but fit” paradigm. This paradigm shows that adolescents with a high level of physical fitness are healthier than adolescents with poorer physical fitness, regardless of their weight, giving importance to sports practice over other aspects. However, few previous studies have analyzed the differences in physical and body composition between active and sedentary adolescents in this paradigm. For this reason, the objectives of the present study were to establish the differences in body composition, physical performance, and adherence to the Mediterranean diet between active and sedentary adolescents;and to analyze the differences between active and sedentary adolescents according to the “fat but fit” paradigm. The sample consisted of 791 adolescent whose body composition, level of physical activity, adherence to the Mediterranean diet, and physical fitness were measured. It was found significant between active and sedentary adolescents in most of the anthropometric, AMD, and physical fitness variables, with a significant effect of the covariates gender, age, BMI, and biological maturation on the model. The binary logistic regression analysis performed shows that anthropometric variables, AMD, and VO2 max can be considered as primary outcomes to distinguish between active and sedentary groups of adolescents. Furthermore, the results showed that the active adolescents, regardless of their weight status, had lower fat mass and greater muscle mass, as well as a higher performance in the physical fitness tests, and greater adherence to the Mediterranean diet than the sedentary adolescents. To conclude, the practice of physical activity is a determinant for the improvement of body composition, physical performance, and adherence to the Mediterranean diet of the adolescent population, regardless of their gender, age, weight, or maturity status.

4.
Archives of Disease in Childhood ; 107(Suppl 2):A62, 2022.
Article in English | ProQuest Central | ID: covidwho-2019831

ABSTRACT

Aims• Explore international literature published in the years 2020-2021 to determine the prevalence of adolescent obesity and identify any changes following the introduction of COVID-19 lockdown measures.• Determine changes in weight and anthropometric measurements in adolescents during this period (2020-2021).• Consider correlations between changes in physical activity, eating habits and screen-time following COVID-19 lockdowns and changes in anthropometric measures.• Explore the impact of economic and environmental inequalities on weight gain and obesity.MethodsPeer-reviewed publications published between 1st January 2020 - 1st December 2021 were identified via systematic searching of three electronic databases, CINAHL, PubMed and OVID. Designated medical subject headings (MeSH) terms and free text search terms relating to the research question including ’COVID-19’, ‘obesity’, and ‘adolescents’ were used to identify relevant articles for inclusion. Those executed in all global settings, published in the English language, and with participants aged 10-18-years-old were included. Any anthropometric measure of obesity, including body mass index, body weight and body fat index were considered. Grey literature searches were also conducted using Goggle Scholar. Data was extracted onto a pre piloted data collection form capturing population, intervention/exposure, comparators, and outcomes (PICO). A narrative analysis was produced based around identified themes.ResultsOverall nine studies were deemed suitable for inclusion. No UK based studies were identified, but global findings were captured including those conducted in the USA, China, South Korea, Germany, India, and Italy. Two studies compared anthropometric measures before and after school closures due to COVID-19. Six reported anthropometric changes before and after/during COVID-19 lockdowns, and one reported pre-pandemic versus pandemic changes in anthropometry. COVID-19 resulted in increased screen times, reduced physical activity and changes in nutritional habits. Key themes included gender- weight gain was higher in adolescent males than females, ethnicity- those from Hispanic backgrounds showed higher levels of obesity, parental factors- obese parents increased the likelihood of adolescent obesity (70%), lower socioeconomic status presented with 2.5 times increase in body weight, and behavioural changes- this included reduced physical activity, increased sedentary behaviour and dietary changes with increased snacking reported.ConclusionOur findings show that there was an increase in the prevalence of adiposity, obesity prevalence and weight gain alongside changes in eating habits and activity levels across several regions between 2020-2021. COVID-19 infection control measures such as school closures increased sedentary behaviours e.g. screen-time for both education and leisure, and negatively influenced nutrition. There is a need for ongoing surveillance and intervention in particular for those identified at risk groups from our included articles. All healthcare professionals and governmental bodies have a role to play in addressing this issue. Further work will be required in order to explore the long-term effects of COVID-19 and its true impact on adolescent obesity.

5.
Food Research ; 6(3):178-186, 2022.
Article in English | EMBASE | ID: covidwho-2010592

ABSTRACT

Metabolic syndrome is not a disease but is a set of several disorders and causes an increased risk of cardiovascular disease and diabetes mellitus complications. Several studies have shown that non-invasive approaches such as anthropometric measurements can be used for the early detection of metabolic syndrome. This study aimed to analyse the anthropometric indicators related to metabolic syndrome in female college students. The design of this research was cross sectional, with the number of subjects involved were as many as 163 female college students aged 19 to 24 years old. Purposive sampling was used in the sampling of this research. The independent variables in this study were the Waist-to-Height Ratio (WHtR), Waist-Hip Ratio (WHR), Body Mass Index (BMI), Sagittal Abdominal Diameter (SAD), and hip circumference. The dependent variable in this study is the metabolic syndrome component that has been converted into a metabolic syndrome score (cMetS). The analysis results showed that all anthropometric indicators, namely WHtR, BMI, SAD, waist circumference, hip circumference and WHR have a strong positive relationship with the metabolic syndrome score (p<0.001). BMI was the anthropometric indicator that is most associated with the metabolic profiles, such as systolic blood pressure (p<0.001), blood sugar (p<0.05), and HDL (p<0.001). Waist circumference was the anthropometric indicator that is most associated with triglycerides and metabolic syndrome score (p<0.001). Metabolic syndrome in female college students can be identified using anthropometric measurements, one of which is BMI and WHR which are very easy to measure and efficient. BMI and WHR have the strongest relationship and can be used to detect early risk of metabolic syndrome in female college students.

6.
Human Reproduction ; 37:i99-i100, 2022.
Article in English | EMBASE | ID: covidwho-2008570

ABSTRACT

Study question: Does embryo vitrification affect children's health including growth, up to 2 years of age when compared to fresh embryo transfer? Summary answer: While embryo vitrification had an impact on birth parameters, no differences in growth or health outcomes were found up to 2 years of age. What is known already: Vitrification has become the preferred cryopreservation method for embryos. Frozen embryo transfer has been repeatedly associated with altered health outcomes when compared with fresh transfer including a decreased risk for small-for gestational age (SGA) and an increased risk for large-for-gestational-age (LGA) and macrosomia. Not only there is uncertainty which factors are responsible for the observed differences, also the heterogeneity among studies limits overall conclusions. Notwithstanding the observed differences at birth, little is known about growth and health of children born after embryo vitrification beyond birth while aberrant growth trajectories have been linked to cardiometabolic morbidity later in life. Study design, size, duration: This single-center cohort study compared anthropometry and health outcomes in singletons conceived after cleavage-stage or blastocyst-stage embryo vitrification with results after fresh embryo transfer between 2014 and 2018. Pregnancies after PGT, IVM, oocyte vitrification or oocyte/embryo donation were excluded. Eligible singletons living in Belgium and randomly selected for continued follow- up were invited for examination in our center at 2 months (infancy) and 2 years of age (early childhood). Participants/materials, setting, methods: Birth characteristics were available for 1237 and 2063 children born after embryo vitrification and fresh embryo transfer, respectively. Follow-up data were available for 582 and 757 children at 2 months and for 233 and 296 children at 2 years. Growth parameters were adjusted for neonatal, treatment and maternal characteristics. Subgroup analysis according to cycle regimen (HRT versus NC) and strategy (freeze-all versus previous fresh cycle) was performed. In addition, outcomes restricted to blastocysts are presented. Main results and the role of chance: Mothers giving birth to a child conceived after embryo vitrification presented more often with pregnancy-induced hypertensive disorders than controls (P<0.001). Birthweight, height and head circumference SDS of children born after embryo vitrification were higher than for children born after fresh embryo transfer (all P<0.001) even after adjustment for neonatal, treatment and maternal characteristics. Embryo vitrification was also associated with a decreased risk of SGA (AOR 0.48;0.00, 0.44) and an increased risk of macrosomia and LGA (AOR 3.59;1.12, 11.59)(all P<0.05). Restricting the sample to blastocysts (n=1795), we found a higher birthweight SDS and increased risks of LGA, macrosomia and pregnancy-induced hypertensive disorders after vitrification (all P<0.05). At infancy, weight and height SDS were larger for children born after embryo vitrification, but not after adjustment for co-variates. At childhood, no differences in anthropometrics were found between the groups. Weight and height gain from birth to infancy and from infancy to early childhood were comparable between the groups. Until 2 years, comparable rates of severe developmental problems, hospital admissions, surgical interventions and of chronic medication intake were found between the groups. Subgroup analysis showed that growth parameters at all ages were not affected by cycle regimen or cycle strategy. Limitations, reasons for caution: Participation rate at 2 years was lower than expected in both groups, probably due to cancellation/postponement of the visit related to the corona pandemic. Furthermore, although cycle strategy was not found to affect growth parameters, the sample size of the subgroup analysis remains rather small to draw firm conclusions. Wider implications of the findings: When adjusted for co-variates including birthweight, the observed differences in anthropometrics at birth in hildren born after embryo vitrification attenuated by 2 years of age. This suggests that outcomes in early childhood are determined by size at birth.

7.
International Journal of Morphology ; 40(3):657-661, 2022.
Article in English | EMBASE | ID: covidwho-1997910

ABSTRACT

Anthropometry is essential to understand the predisposition of an athlete to practice a specific sporting activity, to assess their fitness, and in association with functional parameters, to identify any correlations between their anthropometric profile and their sport performance. Here, we present the anthropometric profiles of athletes of the Italian national teams, who represented Italy in the 2019-2020 competitive season in the following sports: artistic (n=4) and rhythmic (n=12) gymnastics;distance swimming (speciality: 100 m freestyle) (n=14);synchronized swimming (n=10);and basketball (n=6). We also consider a group of sedentary women (n=22) for comparisons. The following anthropometric measurements were taken for each woman: stature;anterior trunk height (i.e., suprasternal-symphysion distance);chest circumference passing through the mesosternal point;biacromial diameter (i.e., akromion-akromion distance);wrist circumference;abdominal circumference passing through the omphalion and the lumbale;hip circumference;height of lower limb (i.e., epitrochanter-planta distance). Height was a selective factor in both basketball, which requires tall athletes, and artistic gymnastics, where in contrast, well-muscled athletes of small stature are required. In aquatic sports, the constitutional habitus is characterized by good development of the upper body compared to the lower limbs. The selection of elite athletes takes place primarily through anthropometric analyses, although other functional and psychological factors also influence their sports performance.

8.
Canadian Journal of Diabetes ; 2022.
Article in English | EMBASE | ID: covidwho-1996319

ABSTRACT

Objectives: Our aim in this study was to compare rates of anthropometric, blood pressure (BP) and glycated hemoglobin (A1C) measurements and laboratory screening for hypothyroidism, nephropathy and dyslipidemia in children and youth with type 1 diabetes (T1D), 1 year before and after the onset of COVID-19. Methods: Clinical data were analyzed from a voluntary registry of children and youth with T1D followed at the BC Children's Hospital between March 2019 and 2021. Logistic and Poisson mixed-effect models were used. Results: Four hundred forty patients, with median (interquartile range) age and time since diagnosis 12.7 (9.5 to 15.4) and 4.7 (2.6 to 7.9) years, respectively, were included. Clinic visits were all in-person before March 2020, and 99% via telemedicine afterward. The number of visits per patient was 2 (2 to 3), with a 6% increase during the pandemic (relative risk [RR], 1.06;95% confidence interval [CI], 1.01 to 1.10). There was a substantial decrease in height, weight and BP measurements (RR, 0.32;95% CI, 0.28 to 0.36;RR, 0.34, 95% CI, 0.31 to 0.38;RR, 0.005, 95% CI, 0.002 to 0.014, respectively);only 49% of patients had anthropometric and 1% BP data during the pandemic year, compared with >97% before the pandemic. A1C measurements dropped from 3 (2 to 4) to 1 (1 to 2) per patient per year (RR, 0.53;95% CI, 0.48 to 0.57). Rates of screening investigations were suboptimal before the pandemic, and these rates continued to decline. Conclusions: Shifting to telemedicine allowed ongoing care during the pandemic, but the frequency of anthropometric, BP and A1C measurements decreased dramatically. A combined telemedicine/in-person model may be needed to ensure adequate care for this population.

9.
Journal of General Internal Medicine ; 37:S296, 2022.
Article in English | EMBASE | ID: covidwho-1995819

ABSTRACT

BACKGROUND: COVID-19 patients at hospitalization exhibit heterogeneous risk factors putatively associated with hospital mortality. However, stability of risk stratification across readmission (ReAdm) remains unclear. We evaluated longitudinal patterns in presentation clinical traits at index COVID-19 hospitalization and subsequent ReAdm(s). METHODS: Under IRB exemption, discharge electronic medical records underwent extraction of presentation demographics, anthropometrics, laboratory results, and ICD-10 codes. Univariate logistic regression was used to test association (p<.05) of putative clinical traits with COVID-19 hospitalization mortality. Continuous data summarized with median [IQR] were compared using Kruskal-Wallis K statistic. Discrete data summarized as counts or proportions were compared with chi-squared test. Confounders statistically balanced included age, sex, race, comorbidities, and attendant local 4-surges of pandemic. Statistical significance was Bonferroni corrected for multiple contrasts at .017. RESULTS: Among patients discharged alive not to hospice between March 18, 2020 and September 30, 2021, 4430 underwent index COVID-19 hospitalization. Incident with at least one subsequent ReAdm was experienced respectively by 630 and 166 patients. There was no difference in median age 76 [62,85] years among 45% woman distributed across Whites (82%), Blacks (9%) and other races (9%). Time to incident and first subsequent ReAdm respectively was 14 [4,59] vs 21 [6,54] days. Prominent comorbidity prevalence sustained included hypertension (54%), diabetes (34%), chronic pulmonary disease (29%), obesity (24%), and coagulopathy (15%). Significant differential comorbidity prevalence manifested sequentially with deficiency anemias (26%, 32%, 49%) and heart failure (23%, 28%, 38%). Notable at two or more ReAdms and consistent with some comorbidity patterns, is significantly worsening hypoalbuminemia, anemia, neutropenia with increasing creatinine, pBNP and D-dimer. CONCLUSIONS: Patients undergoing ReAdm demonstrated that characterizing trends in SARS-CoV-2 evoked clinical traits may reveal mitigable features of post-acute COVID-19 syndrome. Evaluating linkage between biomarkers and comorbidities across ReAdm patterns can identify those of value for estimating a given outcome.

10.
Journal of General Internal Medicine ; 37:S296, 2022.
Article in English | EMBASE | ID: covidwho-1995608

ABSTRACT

BACKGROUND: Severe acute respiratory syndrome-coronavirus-2 (SARSCoV- 2) has substantial morbidity and mortality in patients with heart failure (HF). Hospital mortality exceeds 30% in the American Heart Association's COVID-19 Cardiovascular Disease registry. We characterized clinical traits associated with progression to critical illness (PCI, ICU admission or hospital death) during index and subsequent hospitalizations in SARS-CoV-2 infected patients with extant HF. METHODS: Electronic health records underwent extraction of demographics, anthropometrics, vital signs, laboratory tests, and ICD-10-CM-based Elixhauser comorbidity categories. Univariate logistic regression was used to identify features associated with PCI. Continuous data summarized with median [IQR] were compared using Kruskal-Wallis test and discrete data with chi-squared test. Confounders statistically balanced included age, sex, race, COVID-19 directed treatment, and 4-waves of pandemic. RESULTS: Among HF patients admitted between March 14, 2020 and September 30, 2021, 530 underwent index COVID-19 hospitalization. Among those, 111 were readmitted once, and 43 readmitted at least twice. Index admission median age was 75 [65-84] years, body mass index (BMI) 29.5 [24.9-35.3], and time to readmission 247.7 [44.7-784.1] days. Subsequent time to readmission was 34.7 [5.7-92] days. Most common admission comorbidities were hypertension (81%), diabetes (43%), renal failure (42%), obesity (38%), chronic pulmonary disease (36%), and deficiency anemia (32%). The most common comorbidities at second readmission were renal failure (60%), deficiency anemia (53%), diabetes (40%), and chronic pulmonary disease (40%). PCI occurred in 32% of index admissions, 21% of first readmissions, and 14% of second readmissions. Hospital death or discharge to hospice occurred in 28%, 18%, and 23% of readmissions respectively. CONCLUSIONS: Days to readmission declined revealing impact of inflammation and immunomodulation caused by SARS-CoV-2. Although hypertension was the most common comorbidity at index admission it was the least common at subsequent readmissions. This may represent improved control or death of those poorly controlled. Renal failure being the most common comorbidity at second readmission may represent worsening function due to SARS-CoV-2 infection and injury or worsening HF syndrome. Progressively worsening pBNP and hsTnI likely reflect direct myocyte injury by heightened entry of SARS-CoV-2 viral particle due to expression of angiotensinconverting enzyme 2. HF patients should be urged to undergo SARS-CoV-2 vaccination with apropos boost.

11.
2021 Association for Computer Aided Design in Architecture Annual Conference, ACADIA 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1981240

ABSTRACT

This research presents a machine learning-based interactive design method for the creation of customized inserts that improve the fit of the PPE 3M 1863 and 3M 8833 respiratory face masks. These two models are the most commonly used by doctors and professionals during the recent COVID-19 pandemic. The proper fit of masks is crucial for their performance. Characteristics and fit of current leading market brands were analyzed to develop a parametric design software workflow that resulted in a 3D printed insert customized to specific facial features and the mask that will be used. The insert provides a perfect fit for the respirator mask. Statistical face meshes were generated from an anthropometric database, and 3D facial scans and photos were taken from two hundred doctors and nurses on an NHS Trust hospital. The software workflow can start from either a 2D image of the face (picture) or a 3D mesh taken from a scanning device. The platform uses machine learning and a parametric design workflow based on key performance facial parameters to output the insert between the face and the 3M masks. It also generates the 3D printing file, which can be processed onsite at the hospital. The 2D image approach and the 3D scan approach used to initialize the system were digitally compared, and the resultant inserts were physically tested by twenty frontline personnel in an NHS Trust hospital. Finally, we demonstrate the criticality of proper fit on masks for doctors and nurses and the versatility of our approach augmenting an already tested product through customized digital design and fabrication. © Association for Computer Aided Design in Architecture Annual Conference, ACADIA 2021.

12.
South African Journal of Industrial Engineering ; 33(2):37-48, 2022.
Article in English | Scopus | ID: covidwho-1975300

ABSTRACT

Inappropriately designed classroom furniture that does not take children’s anthropometric measurements into account has a negative effect on children’s musculoskeletal systems. In this study, which kept Covid-19 pandemic policies in mind, students’ static anthropometric dimensions were measured and their descriptive statistics calculated, using mean, standard deviation, percentiles, and statistical tests, including the t-test and one-way ANOVA. A new design for ergonomically oriented classroom furniture for primary school students is proposed that takes into consideration the measured anthropometric dimensions for students’ safety, health, and well-being, and for post-Covid-19 policies. Given the results of the study, school managements must consider the gender and age of students, and take post-Covid-19 policies/protocols into account when procuring classroom furniture. © 2022, South African Institute of Industrial Engineering. All rights reserved.

13.
2nd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2021 ; : 784-789, 2021.
Article in English | Scopus | ID: covidwho-1948776

ABSTRACT

To achieve high prediction accuracy of human body keeps an open issue for decades of years, especially when COVID comes and online retail becomes the major consumption channels. The body measurement is the key to solve cloth matching and recommendation in clothing e-commerce. This paper proposes a practical framework of image-based body measurement, by only taking the user's front and side photos. This framework does not require pure background or precise standing position, and supports manual modification of the measurement results. The framework takes people's height, weight and gender as params to initialize a common body size set, and corrects each part of the set by analyzing the body proportion via the front and side images. The prediction accuracy was tested with the 50 digital models and 10 real people. Results showed that the circumference sizes such as chest, waist, hips, have errors less then 5%, while the length sizes such as arm, leg approach to actual length on net body models. For real people, the errors depend on the wearing clothes. In addition to high accuracy, the method has a rapid process speed, reaching 19QPS on a NVIDIA RTX5000 GPU server. © 2021 IEEE.

14.
Journal of Adolescent Health ; 70(4):S88, 2022.
Article in English | EMBASE | ID: covidwho-1936639

ABSTRACT

Purpose: Adolescent obesity continues to rise, with body mass index (BMI) commonly used as an adiposity surrogate. While obesity correlates with metabolic syndrome risk, individuals with the same BMI do not have equivalent health risks. In 2018, the first pediatric consensus definition for metabolically healthy obesity (MHO) was proposed. Identifying MHO patients is clinically relevant for personalizing interventions by cardiometabolic phenotype. The objective of this study was to examine baseline MHO and metabolically unhealthy obesity (MUO) prevalence and identify metabolic and anthropomorphic predictors among adolescents enrolled in weight management. Methods: This study uses baseline data from 1,316 patients ≥ 11 years of age enrolled in a weight management program for obese adolescents in Baltimore, Maryland between 2005-2018. Anthropometric measures (including body fat by bioimpedance (%fat)), vital signs, and fasting labs were performed at intake. MHO definition was: glucose <100, HDL > 40, triglycerides < 150, systolic blood pressure < 120, diastolic blood pressure < 80. MUO was defined as ≥ 1 abnormal value among MHO variables. Independent samples t-tests were used to compare mean %fat and BMI z-score of MHO and MUO groups. Bivariate logistic regression was performed to determine effects of age, sex, %fat, BMI, and BMI z-score on likelihood of MHO. Results: Mean age in the MHO group was 13.48 years (SD 1.88);mean age in the MUO group was 13.98 years (SD 2.03). 444 (33.7%) patients met criteria for MHO;872 patients had MUO. MHO teens had statistically significantly lower mean %fat (46.7% +/- 8.0% SD) vs. MUO (47.8% +/- 8.2% SD) (p = 0.034) and lower BMI z-score (2.37 +/- 0.33 SD vs 2.51 +/- 0.34 SD;p < 0.001) vs MUO. The MHO group was 66.9% female vs 54.5% females in MUO, with 38.9% lower odds of MHO for males vs. females (OR 0.611;CI 0.467 - 0.800). For every 1% increase in %fat, odds of MHO increased by 3.1%, (OR 1.031;CI 1.008 - 1.053). Each 1-year age increase led to 10.9% decrease in MHO odds (OR 0.891;CI 0.823 - 0.965). In addition, each 1 unit increase in BMI z-score was associated with a 64.5% decrease in odds of MHO (OR 0.355;CI 0.166 - 0.759). BMI change did not significantly change MHO odds. Conclusions: Among this cohort of obese adolescents enrolled in weight management, one-third had MHO. Factors associated with higher likelihood of MHO include: female sex, younger age, and lower BMI z-score. Notably, BMI was not predictive of metabolic phenotype. These findings suggest potential for risk prediction for MUO profile to tailor interventions and resources accordingly. Next, we will evaluate metabolic profiles of patients enrolled during the COVID-19 pandemic. Sources of Support: NICHD T32HD052459 (PI: Trent), The Mount Washington Foundation.

15.
NeuroQuantology ; 20(6):6698-6705, 2022.
Article in English | EMBASE | ID: covidwho-1939460

ABSTRACT

Ischemic heart disease is the most common cardiovascular disease and causeof death in both males and females. Our study, conducted in Babylon governorate, aim of study To determine association between diabetic millets with risk factors among patients with ischemic heart disease in shaheedAlmuhrab center of cath& cardiac surgery in Hilla city. The method of study A cross-sectional study was conducted in center shaheedAlmuhrab center of cath& cardiac surgery The apparent association of diabetic Miletus with age, gender, and socioeconomic status is highly significant (0.019,0.047 and 0.045) respectively. And family history is not significant with diabetic Miletus p-value 0.142. While diabetes mellitus with hypertension, chronic kidney disease, and COVID-19 are highly significant (0.0001,0.029 and 0.01) respectively, whereas diabetic Miletus, smoking and exercise are significantp-value (0.013 and 0.005) respectively, but drinking alcohol is not significant p-value 0.410. Even though waist circumference and body mass index are linked to diabetes, they are very importantp-value (0.002 and 0.006) respectively. conclusion show result risk factor diabetic highly association between age,gender, socioeconomic status, hypertension and chronic kidney disease and covid-19 can cause ischemic heart disease. Also sedentary exercise smoking and anthropometric measurement.

16.
BALNEO AND PRM RESEARCH JOURNAL ; 13(2), 2022.
Article in English | Web of Science | ID: covidwho-1939422

ABSTRACT

(1) Background: The purpose of the study was to analyze the effect of two different training modes towards the development of body composition, aerobic and anaerobic endurance of female handball players aged 18-23, in COVID-19 pandemic. (2) Methods: 18 female handball players from the second division were divided into two groups: Group 1 subjected to Tabata Program (n=9) and Group 2 trained using HIIT Program (n=9). (3) Results: Paired Sample T-Test was carried in the statistical analysis and the significance level was determined (p < .005). The group subjected to HIIT training achieved greater increases in endurance performance than the group carrying out Tabata training (p < .005). (4) Conclusions: Different results were obtained when studying changes regarding segmental analysis of upper, lower limbs and trunk. Both groups undergoing Tabata and HIIT training registered improvements.

17.
American Journal of Respiratory and Critical Care Medicine ; 205(1), 2022.
Article in English | EMBASE | ID: covidwho-1927779

ABSTRACT

RATIONALE. Duchenne muscular dystrophy (DMD) is the most common and severe muscular dystrophy recognized in childhood. Genetically determined progressive dystrophin dysfunction in skeletal and multiple organ muscles is fatal before the age of 20 years without multi-specialized care. The most common cause of death is respiratory muscle failure. The primary task in caring for patients with DMD is the early monitoring of pulmonary functions. This has become difficult during the pandemic SARS-CoV-2 as the procedures generate aerosols, i.e. high risk of SARS-CoV-2 virus transmission. The aim of the study was to evaluate the capacity of the patients with DMD to perform longitudinal daily spirometry examinations at home. METHODS. The patients with DMD were recruited from the Rare Disease Centre, Medical University of Gdask, Poland (a member of the TREAT NMD Alliance Neuromuscular Network). Physical examination with anthropometry measurement, Vignos scale (VS), Brooke scale (BS), and Pulmonary Function Tests were measured during 3 months of monitoring. Participants used home spirometry (AioCare System, Healthup), twice every day. The adherence and correctness (separately for FEV1 and FVC) of spirometry examinations were evaluated. RESULTS. We recruited 20 boys with mean age 11.7(3.0) years (range 7-16 years) and BMI 22.3(5.5) kg/m∧2 with a median VS of 2.5 (IQR 6.5) and BS of 2 (IQR 4.0). During 3 months of monitoring 1301 spirometry examinations were performed;32% of them meet ATS/ERS criteria for FEV1 and FVC, 35% for FEV1 and 33% for FVC, however 50% of patients performed examinations with at least one maneuver with correct FVC. The mean adherence considering performance spirometry examinations twice a day was 39(26)% (range: 6%-98%). We observed a significant increase of FVC values during the monitoring period in 4/20 of patients based on linear regression model estimation. The study is still ongoing. CONCLUSIONS. The systematic pulmonary function monitoring at home in patients with restrictive diseases is an innovative project. The results showed that patients with DMD are able to monitor the lung function using a mobile spirometry system. We observed that in some cases, based on patient feedback, systematic spirometry tests were a form of pulmonary exercises and could be one of the factors that increase FVC after 3 months of monitoring. Personal spirometers could be used as a part of the therapy of patients with muscular dystrophy.

18.
European Journal of Preventive Cardiology ; 29(SUPPL 1):i462-i463, 2022.
Article in English | EMBASE | ID: covidwho-1915611

ABSTRACT

Background: The disease presentation of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ranges from asymptomatic to fatal. COVID-19 patients with pre-existing coronary artery disease (CAD) risk factors or overt cardiovascular disease are at particular risk of severe disease. We hypothesised that a specific genetic risk score (GRS) based on single nucleotide polymorphisms (SNPs) allele count to score COVID-19 severity might include SNPs counts related to CAD incidence and to thrombosis, inflammation, and viral infectivity determinants involved in the severity of SARS-CoV-2. Such GRS could improve the early risk stratification of COVID-19 patients and optimize treatment strategies. Purpose: To evaluate the capacity of a genetic risk score (GRS) with candidate genes to predict COVID-19 severity. Methods: We conducted an age- and sex-matched case-control study with 1:2 ratio recruitment involving 2454 patients from Catalan hospitals and primary care. Cases were hospitalized severe (requiring at least oxygen treatment) or fatal COVID-19 patients;and controls were moderate-symptom and asymptomatic patients treated at home. Standard parametric and non-parametric methods, as required, were used to compare patient characteristics by severity. Individual genotypes for 33 CAD, 14 thrombosis, 22 inflammation, 15 viral infectivity SNPs and 2 COVID-19 SNPs already published were tested for association with severity with Cochran-Armitage statistics and p-values corrected for multiple comparisons. GRS was computed as the unweighted count of adverse alleles (0, 1 or 2). The odds ratio of severe COVID-19 was analysed for GRS (and its component SNPs) with logistic regression models adjusted for potential confounding factors. Area under the curve (AUC) improvement and net reclassification index (NRI) for GRS was estimated from a basic model including CAD and COVID-19 severity risk factors. Models' performance was measured with the Akaike information criterion. Results: SNPs identifications are not shown to prevent patent conflict. Cases and control characteristics are compared in Table 1. Cases had a more adverse cardiovascular and anthropometric risk profile. After correcting for multiple testing by Benjamini-Hochberg criteria, we observed 13 SNPs to be significantly associated with severity. After excluding the close SNPs in linkage disequilibrium, 7 were retained in the GRS model, which yielded the discrimination and reclassification characteristics described in Table 2. Conclusion: A GRS with 7 SNPs related to CAD, thrombosis and inflammation significantly improves the severe COVID-19 risk assessment done with age, sex, comorbidity, and anthropometry alone. (Figure Presented).

19.
Proceedings of the Nutrition Society ; 81(OCE2), 2022.
Article in English | EMBASE | ID: covidwho-1912857

ABSTRACT

The proceedings contain 17 papers. The topics discussed include: associations between food environment and nutritional quality of food purchases in French households: the Mont'Panier cross-sectional study;changes in food purchasing practices of French households during the first COVID-19 lockdown and associated individual and environmental factors;development of insect farming as an option for urban circular bioeconomy: the chemical safety issue;evaluating the impact of a retailer-led pilot at changing consumer behavior;fate of polychlorobiphenyls in the insect Tenebrio molitor: consequences for further use as food and feed;high-school's neighborhood environment in relation with anthropometric indices of girl students living in north-west of Iran;and institutional frameworks for controlled-environment food production systems in urban areas. A comparative analysis of Berlin, London and Nairobi.

20.
Indian Journal of Nutrition and Dietetics ; 59(2):208-221, 2022.
Article in English | CAB Abstracts | ID: covidwho-1876337

ABSTRACT

To develop a questionnaire to measure the influence of Low Carb Diet Therapy on patients' Quality of Life, and also assess the effect of Low Carb Diet on biochemical, anthropometric and dietary intake parameters reflecting on the evaluation of care, health status and thus the efficacy of online consultation and review methods during COVID-19 Pandemic. Thirty five patients visiting the Diabetologist / Endocrinologist through online methods prescribed Low Carb Diets were administered the QOL questionnaire in Google Form through WhatsApp at online visit to the doctor and the subsequent visit. Other demographic, biochemical, anthropometric parameters, and diet recall were gathered at baseline and the subsequent review. Exploratory Factor Analysis (EFA), Reliability Analysis (RA) using Cronbach's alpha, test-retest reliability were done. The questionnaire assessed 15 aspects or questions in the QOL. Exploratory factor analysis suggested a three-factor solution with eigen values >1 and factor loadings >0.3. The first factor contained 5 reliable items, the second factor contained 4 items, third factor with 6 items (with Cronbach's Alpha= 0.669, 0.884, 0.775 respectively) As hypothesized, the QOL was better among patients following Low Carb Diets with higher levels of happiness, more satisfaction with their life and health and also, their biochemical, anthropometric and intake improved. These findings indicate the efficacy of the Low Carb Diet education on QOL and the influence on biochemical, anthropometric and dietary intake parameters was noted. This also shows the efficacy of online consultation and review methods during Pandemic.

SELECTION OF CITATIONS
SEARCH DETAIL