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1.
Talanta ; 238(Pt 2): 123038, 2022 Feb 01.
Artigo em Inglês | MEDLINE | ID: mdl-34801895

RESUMO

An on-line system employing switchable-hydrophilicity solvent-based liquid-phase microextraction (SHS-LPME) is described in this work. The method is based on the preconcentration of the species formed between cobalt and the reagent 1-nitroso-2-naphthol (NN), with subsequent detection by digital image colorimetry. The system's operation begins with the on-line mixture of sample, switchable solvent, and an alkaline agent in a reaction coil. Then the mixture is transported to an extraction chamber. The introduction of a proton donor leads to the passage of the solvent to its hydrophobic form, which allows phase separation. The rich phase is then directed to a glass tube, where detection is performed. Octanoic acid, sodium carbonate, and sulfuric acid were used as the extraction solvent, the alkaline agent, and the proton donor, respectively. Under optimized conditions, the method presented a detection limit of 0.8 µg L-1 and an enrichment factor of 41. The precision obtained was 4.8% (20 µg L-1). The accuracy of the method was tested by the analysis of Tomato Leaves certified reference material (NIST 1573a). The method was applied to the determination of cobalt in food, dietary supplements, and water samples. The method is presented as a green alternative and very accessible to the determination of cobalt in the analyzed samples.


Assuntos
Cobalto , Microextração em Fase Líquida , Interações Hidrofóbicas e Hidrofílicas , Limite de Detecção , Sistemas On-Line , Solventes , Água
2.
BMC Bioinformatics ; 22(1): 595, 2021 Dec 15.
Artigo em Inglês | MEDLINE | ID: mdl-34911434

RESUMO

BACKGROUND: Affordable high-throughput DNA and RNA sequencing technologies are allowing genomic analysis of plant and animal populations and as a result empowering new systems genetics approaches to study complex traits. The availability of intuitive tools to browse and analyze the resulting large-scale genetic and genomic datasets remain a significant challenge. Furthermore, these integrative genomics approaches require innovative methods to dissect the flow and interconnectedness of biological information underlying complex trait variation. The Plant Genome Integrative Explorer (PlantGenIE.org) is a multi-species database and domain that houses online tools for model and woody plant species including Eucalyptus. Since the Eucalyptus Genome Integrative Explorer (EucGenIE) is integrated within PlantGenIE, it shares genome and expression analysis tools previously implemented within the various subdomains (ConGenIE, PopGenIE and AtGenIE). Despite the success in setting up integrative genomics databases, online tools for systems genetics modelling and high-resolution dissection of complex trait variation in plant populations have been lacking. RESULTS: We have developed qtlXplorer ( https://eucgenie.org/QTLXplorer ) for visualizing and exploring systems genetics data from genome-wide association studies including quantitative trait loci (QTLs) and expression-based QTL (eQTL) associations. This module allows users to, for example, find co-located QTLs and eQTLs using an interactive version of Circos, or explore underlying genes using JBrowse. It provides users with a means to build systems genetics models and generate hypotheses from large-scale population genomics data. We also substantially upgraded the EucGenIE resource and show how it enables users to combine genomics and systems genetics approaches to discover candidate genes involved in biotic stress responses and wood formation by focusing on two multigene families, laccases and peroxidases. CONCLUSIONS: qtlXplorer adds a new dimension, population genomics, to the EucGenIE and PlantGenIE environment. The resource will be of interest to researchers and molecular breeders working in Eucalyptus and other woody plant species. It provides an example of how systems genetics data can be integrated with functional genetics data to provide biological insight and formulate hypotheses. Importantly, integration within PlantGenIE enables novel comparative genomics analyses to be performed from population-scale data.


Assuntos
Eucalyptus , Animais , Eucalyptus/genética , Genoma de Planta , Estudo de Associação Genômica Ampla , Genômica , Humanos , Sistemas On-Line , Software
3.
Comput Intell Neurosci ; 2021: 8249625, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34956356

RESUMO

This study provides an in-depth study and analysis of English course recommendation techniques through a combination of bee colony algorithm and neural network algorithm. In this study, the acquired text is trained with a document vector by a deep learning model and combined with a collaborative filtering method to recommend suitable courses for users. Based on the analysis of the current research status and development of the technology related to course resource recommendation, the deep learning technology is applied to the course resource recommendation based on the current problems of sparse data and low accuracy of the course recommendation. For the problem that the importance of learning resources to users changes with time, this study proposes to fuse the time information into the neural collaborative filtering algorithm through the clustering classification algorithm and proposes a deep learning-based course resource recommendation algorithm to better recommend the course that users want to learn at this stage promptly. Secondly, the course cosine similarity calculation model is improved for the course recommendation algorithm. Considering the impact of the number of times users rate courses and the time interval between users rating different courses on the course similarity calculation, the contribution of active users to the cosine similarity is reduced and a time decay penalty is given to users rating courses at different periods. By improving the hybrid recommendation algorithm and similarity calculation model, the error value, recall, and accuracy of course recommendation results outperform other algorithmic models. The requirements analysis identifies the personalized online teaching system with rural primary and secondary school students as the main service target and then designs the overall architecture and functional modules of the recommendation system and the database table structure to implement the user registration, login, and personal center functional modules, course publishing, popular recommendation, personalized recommendation, Q&A, and rating functional modules.


Assuntos
Aprendizado Profundo , Algoritmos , Análise por Conglomerados , Redes Neurais de Computação , Sistemas On-Line
4.
Front Immunol ; 12: 794642, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34925378

RESUMO

Background: The relationships of the coronavirus disease 2019 (COVID-19) vaccination with reactogenicity and the humoral immune response are important to study. The current study aimed to assess the reactogenicity and immunogenicity of the Pfizer and AstraZeneca COVID-19 vaccines among adults in Madinah, Saudi Arabia. Methods: A cross-sectional study, including 365 randomly selected adult Pfizer or AstraZeneca vaccine recipients who received a homologous prime-boost vaccination between February 1st and June 30th, 2021. Data of height and weight were collected to assess the weight status of percipients. An evaluation of seropositivity for anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies was assessed using enzyme-linked immunosorbent assay (ELISA). Results: Among the participants, 69% (n = 250) reported at least one vaccine-related symptom. Pain at the injection site was the most frequently reported vaccine-related symptom. The mean total score for vaccine-related symptoms was significantly higher among participants who received the AstraZeneca vaccine, women, and participants with no previous COVID-19 infection (p < 0.05). Spike-specific IgG antibodies were detected in 98.9% of participants after the receipt of two vaccine doses, including 99.5% of Pfizer vaccine recipients and 98.3% of AstraZeneca vaccine recipients. Significantly, higher proportions of participants in the <35-year age group developed a humoral immune response after the first vaccine dose compared with the participants in other age groups. Conclusion: Participants who received the Pfizer COVID-19 vaccine reported fewer vaccine-related complications compared with those who received the AstraZeneca COVID-19 vaccine, but no serious side effects were reported in response to either vaccine. Health status and age were factors that may influence COVID-19 vaccine effectiveness for the generation of antibodies against the SARS-CoV-2 spike protein.


Assuntos
Vacinas contra COVID-19/imunologia , Vacinas contra COVID-19/normas , COVID-19/prevenção & controle , Imunogenicidade da Vacina , SARS-CoV-2/imunologia , Adulto , Idoso , Formação de Anticorpos/imunologia , COVID-19/diagnóstico , COVID-19/epidemiologia , COVID-19/virologia , Estudos Transversais , Análise Fatorial , Feminino , Interações Hospedeiro-Patógeno/imunologia , Humanos , Imunização Secundária , Imunoglobulina G , Masculino , Pessoa de Meia-Idade , Sistemas On-Line , Vigilância em Saúde Pública , Inquéritos e Questionários
5.
Future Microbiol ; 16: 1267-1276, 2021 11.
Artigo em Inglês | MEDLINE | ID: mdl-34674541

RESUMO

Aims: This study aimed to investigate how the psychological health of health care professionals (HCP) on COVID duty was different from those who were not directly in contact. Methodology: Of 473 (76%) randomly selected respondents (doctors and nurses) to a WhatsApp request message, 450 subjects' data were finally analyzed. Result: The prevalence of stress, anxiety and depression among HCP was 33.8, 38.9 and 43.6%, respectively. Compared with nonexposed professionals, COVID-19-exposed professionals had roughly double the score of these morbidities (t = 6.3, p < 0.001; t = 6.9, p < 0.001; t = 6.0, p < 0.001). Most worry (71.11%) was about the health of their family, followed by themselves (35.55%). Conclusion: The level of exposure, feelings of uncertainty and fear of infection emerged in our study as possible risk factors for psychological morbidities among HCP.


Assuntos
COVID-19 , Pessoal de Saúde/psicologia , Saúde Mental , Adulto , Ansiedade/epidemiologia , Esgotamento Psicológico/epidemiologia , Estudos Transversais , Depressão/epidemiologia , Feminino , Humanos , Índia/epidemiologia , Masculino , Sistemas On-Line , Pandemias , Prevalência , SARS-CoV-2 , Estresse Psicológico/epidemiologia , Inquéritos e Questionários
7.
Comput Intell Neurosci ; 2021: 7388825, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34630552

RESUMO

In order to effectively optimize the machine online translation system and improve its translation efficiency and translation quality, this study uses the deep separable convolution neural network algorithm to construct a machine online translation model and evaluates the quality on the basis of pseudo data learning. In order to verify the performance of the model, the regression performance experiment of the model, the method performance experiment of generating pseudo data for specific tasks, the sorting task performance experiment of the model, and the machine translation quality comparison experiment are designed. RMSE and MAE were used to evaluate the regression task performance of the model. Spearman rank correlation coefficient and delta AVG value were used to evaluate the sorting task performance of the model. The experimental results show that the MAE and RMSE values of the model are decreased by 2.28% and 1.39%, respectively, compared with the baseline system under the same experimental conditions, and the Spearman and delta AVG values are increased by 132% and 100.7%, respectively, compared with the baseline system. The method of generating pseudo data for specific tasks needs less data and can make the translation system reach a better level faster. When the number of instances is more than 10, the quality score of the model output is higher than that of Google translation whose similarity is more than 0.8.


Assuntos
Algoritmos , Redes Neurais de Computação , Sistemas On-Line , Traduções
8.
BMC Health Serv Res ; 21(1): 1030, 2021 Sep 30.
Artigo em Inglês | MEDLINE | ID: mdl-34592980

RESUMO

BACKGROUND: Increasing pressure threatens to overwhelm primary care services, affecting the quality of care and their role as gatekeepers to specialised care services. This study investigated healthcare users' acceptability of - and the effectiveness of - an e-consultation system in primary care services. METHODS: Seven GP practices in East-Midlands, all of whom use online consultation system participated in the study, with a retrospective review being undertaken of 189 electronic patients' records (age range of 18-76 years) over 5 months. The focus was on the electronic records of patients who accessed the service for five different conditions identified as presenting common conditions seen by the GPs practices. Statistical analysis was done using SPSS to perform an exploratory data analysis and descriptive statistics. RESULTS: The results showed a positive reception of the online consultation platform, with an average satisfaction score of 4.15 (most likely to recommend score = 5). Given the nature of the conditions, 47.6% of patients had experienced a previous episode of the health condition they were seeking consultation for, and a total of 72% had existing comorbidities. Follow-up activity occurred for 87.3% of patients, 66.1% of which included at least one follow-up visit for the same condition as the initial online consultation. CONCLUSION: The results suggest that online consultation is convenient for patients, and it also has the potential to relieve pressure placed on primary care services. Although a number of challenges were identified, such as patient verification, this study gives insight into - and enhances our understanding of - the use of online GP consultations.


Assuntos
Atenção Primária à Saúde , Encaminhamento e Consulta , Criança , Pré-Escolar , Humanos , Lactente , Sistemas On-Line , Estudos Retrospectivos , Reino Unido
9.
J Immunol ; 207(8): 1941-1947, 2021 10 15.
Artigo em Inglês | MEDLINE | ID: mdl-34607907

RESUMO

Our organization, Black in Immuno (@BlackInImmuno), was formed in September 2020 to celebrate, support, and amplify Black voices in immunology when social media campaigns like #BlackInTheIvory illuminated the shared overt and covert issues of systemic racism faced by Black researchers in all facets of science, technology, engineering, art, and mathematics. Black in Immuno was cofounded by a group of Black immunology trainees working at multiple institutions globally: Joël Babdor, E. Evonne Jean, Elaine Kouame, Alexis S. Mobley, Justine C. Noel, and Madina Wane. We devised Black in Immuno Week, held November 22-28, 2020, as a global celebration of Black immunologists. The week was designed to advocate for increased diversity and accessibility in immunology, amplify Black excellence in immunology, and create a community of Black immunologists who can support each other to flourish despite barriers in academia and other job sectors. The week contained live panels and scientific talks, a casual networking mixer, online advocacy and amplification sessions, and a series of wellness events. Our live-streamed programs reached over 300 individuals, and thousands of people kept the conversations going globally using #BlackInImmuno and #BlackInImmunoWeek on social media from five continents. Below, we highlight the events and significant takeaways of the week.


Assuntos
Alergia e Imunologia/ética , Sistemas On-Line , Pesquisadores , Sucesso Acadêmico , Alergia e Imunologia/educação , Defesa do Consumidor , Humanos , Redes Sociais Online , Racismo , Inclusão Social , Estados Unidos , Webcasts como Assunto
10.
Proc Natl Acad Sci U S A ; 118(39)2021 09 28.
Artigo em Inglês | MEDLINE | ID: mdl-34544861

RESUMO

Unbiased science dissemination has the potential to alleviate some of the known gender disparities in academia by exposing female scholars' work to other scientists and the public. And yet, we lack comprehensive understanding of the relationship between gender and science dissemination online. Our large-scale analyses, encompassing half a million scholars, revealed that female scholars' work is mentioned less frequently than male scholars' work in all research areas. When exploring the characteristics associated with online success, we found that the impact of prior work, social capital, and gendered tie formation in coauthorship networks are linked with online success for men, but not for women-even in the areas with the highest female representation. These results suggest that while men's scientific impact and collaboration networks are associated with higher visibility online, there are no universally identifiable facets associated with success for women. Our comprehensive empirical evidence indicates that the gender gap in online science dissemination is coupled with a lack of understanding the characteristics that are linked with female scholars' success, which might hinder efforts to close the gender gap in visibility.


Assuntos
Autoria/normas , Sistemas On-Line/normas , Revisão da Pesquisa por Pares/tendências , Publicações/normas , Ciência/normas , Sexismo/prevenção & controle , Feminino , Humanos , Masculino
11.
J Med Internet Res ; 23(8): e20815, 2021 08 09.
Artigo em Inglês | MEDLINE | ID: mdl-34383663

RESUMO

BACKGROUND: The recognition and interpretation of abnormal blood cell morphology is often the first step in diagnosing underlying serious systemic illness or leukemia. Supporting the staff who interpret blood film morphology is therefore essential for a safe laboratory service. This paper describes an open-access, web-based decision support tool, developed by the authors to support morphological diagnosis, arising from earlier studies identifying mechanisms of error in blood film reporting. The effectiveness of this intervention was assessed using the unique resource offered by the online digital morphology Continuing Professional Development scheme (DM scheme) offered by the UK National External Quality Assessment Service for Haematology, with more than 3000 registered users. This allowed the effectiveness of decision support to be tested within a defined user group, each of whom viewed and interpreted the morphology of identical digital blood films. OBJECTIVE: The primary objective of the study was to test the effectiveness of the decision support system in supporting users to identify and interpret abnormal morphological features. The secondary objective was to determine the pattern and frequency of use of the system for different case types, and to determine how users perceived the support in terms of their confidence in decision-making. METHODS: This was a comparative study of identical blood films evaluated either with or without decision support. Selected earlier cases from the DM scheme were rereleased as new cases but with decision support made available; this allowed a comparison of data sets for identical cases with or without decision support. To address the primary objectives, the study used quantitative evaluation and statistical comparisons of the identification and interpretation of morphological features between the two different case releases. To address the secondary objective, the use of decision support was assessed using web analytical tools, while a questionnaire was used to assess user perceptions of the system. RESULTS: Cases evaluated with the aid of decision support had significantly improved accuracy of identification for relevant morphological features (mean improvement 9.8%) and the interpretation of those features (mean improvement 11%). The improvement was particularly significant for cases with higher complexity or for rarer diagnoses. Analysis of website usage demonstrated a high frequency of access for web pages relevant to each case (mean 9298 for each case, range 2661-24,276). Users reported that the decision support website increased their confidence for feature identification (4.8/5) and interpretation (4.3/5), both within the context of training (4.6/5) and also in their wider laboratory practice (4.4/5). CONCLUSIONS: The findings of this study demonstrate that directed online decision support for blood morphology evaluation improves accuracy and confidence in the context of educational evaluation of digital films, with effectiveness potentially extending to wider laboratory use.


Assuntos
Sistemas On-Line , Humanos , Inquéritos e Questionários
12.
J Neuroeng Rehabil ; 18(1): 124, 2021 08 10.
Artigo em Inglês | MEDLINE | ID: mdl-34376199

RESUMO

BACKGROUND: Falls are a leading cause of accidental deaths and injuries worldwide. The risk of falling is especially high for individuals suffering from balance impairments. Retrospective surveys and studies of simulated falling in lab conditions are frequently used and are informative, but prospective information about real-life falls remains sparse. Such data are essential to address fall risks and develop fall detection and alert systems. Here we present the results of a prospective study investigating a proof-of-concept, smartphone-based, online system for fall detection and notification. METHODS: The system uses the smartphone's accelerometer and gyroscope to monitor the participants' motion, and falls are detected using a regularized logistic regression. Data on falls and near-fall events (i.e., stumbles) is stored in a cloud server and fall-related variables are logged onto a web portal developed for data exploration, including the event time and weather, fall probability, and the faller's location and activity before the fall. RESULTS: In total, 23 individuals with an elevated risk of falling carried the phones for 2070 days in which the model classified 14,904,000 events. The system detected 27 of the 37 falls that occurred (sensitivity = 73.0 %) and resulted in one false alarm every 46 days (specificity > 99.9 %, precision = 37.5 %). 42.2 % of the events falsely classified as falls were validated as stumbles. CONCLUSIONS: The system's performance shows the potential of using smartphones for fall detection and notification in real-life. Apart from functioning as a practical fall monitoring instrument, this system may serve as a valuable research tool, enable future studies to scale their ability to capture fall-related data, and help researchers and clinicians to investigate real-falls.


Assuntos
Acidentes por Quedas , Smartphone , Humanos , Sistemas On-Line , Estudos Prospectivos , Estudos Retrospectivos
15.
World Neurosurg ; 155: e412-e417, 2021 11.
Artigo em Inglês | MEDLINE | ID: mdl-34428584

RESUMO

INTRODUCTION: Due to the COVID-19 pandemic, the ACGME recommended all interviews for the 2021 residency application cycle be held virtually. Because this is major shift from neurosurgical interviews in past years, this study aims to evaluate both applicant and interviewer satisfaction of conducting interviews virtually. METHODS: For faculty, an 11-question online survey was sent to 116 United States neurosurgery training programs. A 14-question online survey was sent to 255 neurosurgery applicants. The resulting data were analyzed qualitatively and quantitatively. RESULTS: From applicants, 118 responses were received. From faculty, 171 individual responses were received. Thirty-five percent (34.7%) of applicants agreed that they were satisfied with the virtual interview process as a whole. Although 44.5% of faculty disagreed with the statement "I would like to replace in-person interviews with virtual interviews in the future", 57.3% of faculty agreed that they were likely to implement virtual interviews in the future. CONCLUSIONS: Some things might be better assessed through in-person interviews, but there are clear benefits to virtual interviews. Future iterations of the interview process, incorporating virtual interviews, might help determine how and in which situations virtual interviews can be utilized in future residency application cycles.


Assuntos
COVID-19/epidemiologia , Docentes de Medicina/tendências , Internato e Residência/tendências , Candidatura a Emprego , Neurocirurgia/tendências , Inquéritos e Questionários , COVID-19/prevenção & controle , Docentes de Medicina/psicologia , Humanos , Neurocirurgia/educação , Sistemas On-Line/tendências , Estados Unidos/epidemiologia
16.
Comput Intell Neurosci ; 2021: 8785127, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34422036

RESUMO

With the popularization and application of online education in the world, how to evaluate and analyze the classroom teaching effect through scientific methods has become one of the important teaching tasks in colleges. Based on this, this paper studies the application of the GA-BP neural network algorithm. Firstly, it gives a brief overview of the current situation of online education and GA-BP neural network algorithm. Secondly, through the investigation of the online education system in many aspects, it evaluates students' online education classroom teaching quality from five aspects, and this paper proposes a more scientific online education classroom teaching quality evaluation optimization model and finally verifies the reliability of the online education teaching evaluation model through the practice in a university. The results show that the GA-BP neural network-based evaluation optimization model can effectively evaluate the online education in the process of analyzing the quality of online education classroom teaching of most professional students.


Assuntos
Educação à Distância , Humanos , Redes Neurais de Computação , Sistemas On-Line , Reprodutibilidade dos Testes , Universidades
17.
Nutrients ; 13(8)2021 Jul 29.
Artigo em Inglês | MEDLINE | ID: mdl-34444780

RESUMO

While the food environment has been implicated in diet-related health disparities, individuals' ability to shape the food environment by limiting attention to a subset of products has not been studied. We examine the relationship between BMI category and consideration set-the products the individual considers before making a final choice-in an online hypothetical shopping experiment. Specifically, we focus on the healthiness of the consideration set the individual selected. Secondly, we examined the interaction of a health prompt (versus a no-prompt control) with BMI category on the healthiness of the consideration set. We used linear probability models to document the relationship between weight status and consideration set, between prompt and consideration set, and the effect of the interaction between prompt and weight status on consideration set. We found that (1) obese individuals are 10% less likely to shop from a consideration set that includes the healthy options, (2) viewing the prompt increased the probability of choosing a healthy consideration set by 9%, and (3) exposure to the prompt affected individuals in different BMI categories equally. While obese individuals are more likely to ignore healthier product options, a health-focused prompt increases consideration of healthy options across all BMI categories.


Assuntos
Atenção , Índice de Massa Corporal , Alimentos , Adulto , Comportamento de Escolha , Comportamento do Consumidor , Dieta , Feminino , Preferências Alimentares , Humanos , Masculino , Pessoa de Meia-Idade , Sistemas On-Line , Estados Unidos
19.
Development ; 148(12)2021 06 15.
Artigo em Inglês | MEDLINE | ID: mdl-34170290

RESUMO

The third 'Symposium for the Next Generation of Stem Cell Research' (SY-Stem) was held virtually on 3-5 March 2021, having been cancelled in 2020 due to the COVID-19 pandemic. As in previous years, the meeting highlighted the work of early career researchers, ranging from postgraduate students to young group leaders working in developmental and stem cell biology. Here, we summarize the excellent work presented at the Symposium, which covered topics ranging from pluripotency, species-specific aspects of development and emerging technologies, through to organoids, single-cell technology and clinical applications.


Assuntos
Congressos como Assunto/organização & administração , Invenções/tendências , Pesquisa com Células-Tronco , Animais , COVID-19/epidemiologia , Diferenciação Celular , Congressos como Assunto/história , Congressos como Assunto/tendências , História do Século XXI , Humanos , Internet , Invenções/história , Sistemas On-Line , Pandemias , Análise de Célula Única/métodos , Análise de Célula Única/tendências , Pesquisa com Células-Tronco/história , Células-Tronco/fisiologia , Técnicas de Cultura de Tecidos/métodos , Técnicas de Cultura de Tecidos/tendências
20.
Diabetes Metab Syndr ; 15(4): 102185, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34186373

RESUMO

AIMS: This study aimed to investigate the immediate impact of COVID-19 quarantine measures on physical inactivity and weight gain among Sri Lankans. METHODS: An online cross-sectional survey was conducted from the 27th of May to 2nd of June 2021 using Google forms. The questionnaire including socio-demographics and physical activity related questions was distributed through social media platforms. RESULTS: A total of 3707 respondents were included in the analysis (59.6% females). The majority were employed, resided in Colombo district and, as a minimum, had a degree. More than half of the respondents (52.4%) reported decreased exercise levels, 63.5% increased sitting time and 82.7% increased screen time. Adults of 31-35 (OR 1.96; 95% CI,1.321-2.894, p < 0.001) and 36-40 (OR 1.67; 95% CI, 1.099-2.524, p < 0.016) had increased sitting times compared to other age groups. A weight gain was reported by 38.5% with a mean (SD) increase of 3.61 (±2.35) kg. There was a significant difference in weight gain between genders (p < 0.001) and ethnic groups (p < 0.001). CONCLUSIONS: An overall increase in physical inactivity such as reduced exercises, increased sitting time and screen time were observed. Furthermore, a considerable proportion of the population has increased body weight.


Assuntos
COVID-19/complicações , Exercício Físico , Obesidade/epidemiologia , Obesidade/terapia , SARS-CoV-2/isolamento & purificação , Ganho de Peso , Adolescente , Adulto , COVID-19/transmissão , COVID-19/virologia , Estudos Transversais , Feminino , Humanos , Masculino , Obesidade/virologia , Sistemas On-Line , Quarentena , Sri Lanka/epidemiologia , Inquéritos e Questionários , Adulto Jovem
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