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1.
Sensors (Basel) ; 21(11)2021 Jun 04.
Artigo em Inglês | MEDLINE | ID: mdl-34199981

RESUMO

The Internet of vehicles (IoV) is a rapidly emerging technological evolution of Intelligent Transportation System (ITS). This paper proposes SafeDrive, a dynamic driver profile (DDP) using a hybrid recommendation system. DDP is a set of functional modules, to analyses individual driver's behaviors, using prior violation and accident records, to identify driving risk patterns. In this paper, we have considered three synthetic data-sets for 1500 drivers based on their profile information, risk parameters information, and risk likelihood. In addition, we have also considered the driver's historical violation/accident data-set records based on four risk-score levels such as high-risk, medium-risk, low-risk, and no-risk to predict current and future driver risk scores. Several error calculation methods have been applied in this study to analyze our proposed hybrid recommendation systems' performance to classify the driver's data with higher accuracy based on various criteria. The evaluated results help to improve the driving behavior and broadcast early warning alarm to the other vehicles in IoV environment for the overall road safety. Moreover, the propoed model helps to provide a safe and predicted environment for vehicles, pedestrians, and road objects, with the help of regular monitoring of vehicle motion, driver behavior, and road conditions. It also enables accurate prediction of accidents beforehand, and also minimizes the complexity of on-road vehicles and latency due to fog/cloud computing servers.


Assuntos
Acidentes de Trânsito , Condução de Veículo , Acidentes de Trânsito/prevenção & controle , Internet , Fatores de Risco , Segurança , Tecnologia
2.
Front Public Health ; 9: 698106, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34249851

RESUMO

Background: The Coronavirus disease 2019 (COVID-19) pandemic is considered a major global public health threat affecting across the life course and socioeconomic aspects of life. Global acceptance to an effective vaccine is the most anticipated resolution. This study aims to evaluate intent to be vaccinated among public in Saudi Arabia during the second wave of the COVID-19 pandemic. Methods: A cross-sectional web-based study was designed in Saudi Arabia. Study participants (N = 658) were recruited through snowball sampling. The SurveyMonkey platform was used to record the response. Cross-tabulation was performed by participants' intention to vaccinate against COVID-19 virus with sociodemographic characteristics and respondents' risk perception toward COVID-19, trust in the healthcare system, and their history of vaccine hesitancy behavior. Multivariable logistic regression analysis was performed to compute the predictors of vaccination intention among the study participants. Results: Six hundred fifty-eight participants completed the survey (females = 47.4%). Of the 658 participants, 351 (53.3%) have shown intent to be vaccinated. Five hundred nineteen (78.8%) of the participants were reported to be at high risk of COVID-19, and 307 (46.6%) were reported to trust the healthcare system in the country. The multivariable analysis shows respondents with a high-risk perception (OR: 2.27, 95% CI: 1.49-3.48); higher trust in the healthcare system (OR: 3.24, 95% CI: 2.32-4.61) was found to be the significant factor affecting the decision in acceptance of the COVID-19 vaccine in Saudi Arabia. Conclusion: Participants reported high knowledge toward COVID-19 virus, and vaccine developments. About half (46.6%) of the study participants reported refusal/hesitancy toward the vaccine during the second wave of the pandemic in Saudi Arabia. The study highlighted that higher risk perception and higher trust in the healthcare system were found to be the main reasons for participants' intentions behind the vaccination.


Assuntos
COVID-19 , Vacinas , Vacinas contra COVID-19 , Estudos Transversais , Demografia , Feminino , Humanos , Internet , Pandemias/prevenção & controle , SARS-CoV-2 , Arábia Saudita/epidemiologia
3.
Sensors (Basel) ; 21(13)2021 Jul 05.
Artigo em Inglês | MEDLINE | ID: mdl-34283166

RESUMO

A significant therapeutic challenge for people with disabilities is the development of verbal and echoic skills. Digital voice assistants (DVAs), such as Amazon's Alexa, provide networked intelligence to billions of Internet-of-Things devices and have the potential to offer opportunities to people, such as those diagnosed with autism spectrum disorder (ASD), to advance these necessary skills. Voice interfaces can enable children with ASD to practice such skills at home; however, it remains unclear whether DVAs can be as proficient as therapists in recognizing utterances by a developing speaker. We developed an Alexa-based skill called ASPECT to measure how well the DVA identified verbalization by autistic children. The participants, nine children diagnosed with ASD, each participated in 30 sessions focused on increasing vocalizations and echoic responses. Children interacted with ASPECT prompted by instructions from an Echo device. ASPECT was trained to recognize utterances and evaluate them as a therapist would-simultaneously, a therapist scored the child's responses. The study identified no significant difference between how ASPECT and the therapists scored participants; this conclusion held even when subsetting participants by a pre-treatment echoic skill assessment score. This indicates considerable potential for providing a continuum of therapeutic opportunities and reinforcement outside of clinical settings.


Assuntos
Transtorno do Espectro Autista , Voz , Transtorno do Espectro Autista/diagnóstico , Criança , Humanos , Internet
4.
Artigo em Inglês | MEDLINE | ID: mdl-34207812

RESUMO

We examined multidimensional factors within four systems (individual, family, school, and community) that influence internet addiction across time among children through adolescence in Taiwan. We hypothesize that internet addiction increases from childhood to adolescence and that resilience, child neglect, positive school experiences, and community violence are significant predictors at baseline and of the rate of change across time. Based on stratified random sampling, a valid sample size of 6233 Taiwanese children participated in our study, which we began in 2014 and then followed this sample in 2016 and 2018 using repeated measures. We used hierarchical linear modeling to model changes in internet addiction across time (with equal two-year intervals between assessments) and the associations between the predictors and internet addiction over time. The results show that internet addiction increases from childhood to adolescence. After controlling for gender, we found that resilience and positive school experiences predict less internet addiction, whereas neglect and community violence predict greater internet addiction. Over time, greater resilience predicts a decreasing trajectory of internet addiction, whereas greater neglect and community violence predict a slower increasing trajectory and positive school experiences predict a faster-increasing trajectory. A holistic approach can help children cope with internet addiction.


Assuntos
Comportamento Aditivo , Maus-Tratos Infantis , Adolescente , Comportamento Aditivo/epidemiologia , Criança , Humanos , Internet , Transtorno de Adição à Internet , Estudos Longitudinais , Taiwan/epidemiologia
5.
Sensors (Basel) ; 21(13)2021 Jun 22.
Artigo em Inglês | MEDLINE | ID: mdl-34206361

RESUMO

Tea is the second most consumed beverage, and its aroma, determined by volatile compounds (VOCs) present in leaves or developed during the processing stages, has a great influence on the final quality. The goal of this study is to determine the volatilome of different types of tea to provide a competitive tool in terms of time and costs to recognize and enhance the quality of the product in the food chain. Analyzed samples are representative of the three major types of tea: black, green, and white. VOCs were studied in parallel with different technologies and methods: gas chromatography coupled with mass spectrometer and solid phase microextraction (SPME-GC-MS) and a device called small sensor system, (S3). S3 is made up of tailor-made metal oxide gas sensors, whose operating principle is based on the variation of sensor resistance based on volatiloma exposure. The data obtained were processed through multivariate statistics, showing the full file of the pre-established aim. From the results obtained, it is understood how supportive an innovative technology can be, remotely controllable supported by machine learning (IoF), aimed in the future at increasing food safety along the entire production chain, as an early warning system for possible microbiological or chemical contamination.


Assuntos
Compostos Orgânicos Voláteis , Internet , Odorantes/análise , Óxidos , Microextração em Fase Sólida , Chá , Compostos Orgânicos Voláteis/análise
6.
BMJ Open ; 11(7): e051115, 2021 07 05.
Artigo em Inglês | MEDLINE | ID: mdl-34226236

RESUMO

OBJECTIVE: To investigate the factors associated with serious psychological distress (SPD) during the COVID-19 pandemic in Japan. DESIGN: Nationwide cross-sectional study using survey data. SETTING: Internet survey using sampling weights for national estimates conducted between 25 August and 30 September 2020 in Japan. EXPOSURES: Demographics (age, gender), socioeconomic status (income level, employment type, educational attainment, marital status, family composition and caregiving burden); the experience of domestic violence (DV), the state of emergency and fear of and stigma related to COVID-19. MAIN OUTCOME MEASURES: Prevalence of SPD, defined as Kessler 6 Scale score ≥13. RESULTS: Among 25 482 respondents, 10.0% met the criteria of SPD. Overall, women (adjusted OR (aOR) 1.59; 95% CI 1.17 to 2.16; p=0.003), ages 15-29 (aOR 2.35 compared with ages 45-59 years; 95% CI 1.64 to 3.38; p<0.001), low-income level (aOR 1.70 compared with intermediate income; 95% CI 1.16 to 2.49; p=0.007), providing caregiving to family members (aOR 5.48; 95% CI 3.51 to 8.56; p<0.001), experiencing DV (aOR 5.72; 95% CI 3.81 to 8.59; p<0.001) and fear of COVID-19 (aOR 1.96; 95% CI 1.55 to 2.48; p<0.001) were associated with SPD. Among women aged 15-29 years, who have a higher risk of suicide during the COVID-19 pandemic in Japan, caregiving, DV, fear of COVID-19 and COVID-19-related stigma were associated with SPD. CONCLUSIONS: Economic situation, caregiving burden, DV and fear of COVID-19 were independently associated with SPD during the COVID-19 pandemic. Among young women, similar factors, except economic situation, were associated with SPD. Targeted interventions based on age and gender may be more effective in mitigating the negative impact of the COVID-19 pandemic on the population's mental health.


Assuntos
COVID-19 , Angústia Psicológica , Adolescente , Adulto , Estudos Transversais , Feminino , Humanos , Internet , Japão/epidemiologia , Pessoa de Meia-Idade , Pandemias , SARS-CoV-2 , Estresse Psicológico/epidemiologia , Adulto Jovem
7.
J Laryngol Otol ; 135(7): 634-639, 2021 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-34254581

RESUMO

OBJECTIVES: Tonsillectomy has generated extensive comment on the internet, but this content has not been examined in a scientific manner. This study aimed to determine what the blogosphere has to say about adult tonsillectomy and to report whether this information can be used to improve post-surgical care. METHODS: The internet was searched to find personal blogs relating to tonsillectomy. A retrospective review of data collected on these blogs was carried out and the blogs were conceptually analysed by the authors. RESULTS: Fifty blogs were included. Seventy per cent of patients had read blogs prior to their procedure. The average pain score where available was 7.2. Complications occurred in 10 per cent of patients. Only 1 patient (2 per cent) regretted having a tonsillectomy. CONCLUSION: It is important for otolaryngologists to stay in tune with the blogosphere as this unregulated and easily accessible source of information is both friend and foe but will ultimately help in pre-operative counselling and post-operative management.


Assuntos
Analgésicos/uso terapêutico , Blogging , Dor Pós-Operatória/tratamento farmacológico , Satisfação do Paciente , Complicações Pós-Operatórias , Tonsilectomia , Tonsilite/cirurgia , Adulto , Feminino , Humanos , Internet , Masculino , Medição da Dor
8.
J Med Internet Res ; 23(7): e16750, 2021 07 13.
Artigo em Inglês | MEDLINE | ID: mdl-34255650

RESUMO

BACKGROUND: Advances in information technology have paved the way to facilitate accessibility to population-level health data through web-based data query systems (WDQSs). Despite these advances in technology, US state agencies face many challenges related to the dissemination of their local health data. It is essential for the public to have access to high-quality data that are easy to interpret, reliable, and trusted. These challenges have been at the forefront throughout the COVID-19 pandemic. OBJECTIVE: The purpose of this study is to identify the most significant challenges faced by state agencies, from the perspective of the Behavioral Risk Factor Surveillance System (BRFSS) coordinator from each state, and to assess if the coordinators from states with a WDQS perceive these challenges differently. METHODS: We surveyed BRFSS coordinators (N=43) across all 50 US states and the District of Columbia. We surveyed the participants about contextual factors and asked them to rate system aspects and challenges they faced with their health data system on a Likert scale. We used two-sample t tests to compare the means of the ratings by participants from states with and without a WDQS. RESULTS: Overall, 41/43 states (95%) make health data available over the internet, while 65% (28/43) employ a WDQS. States with a WDQS reported greater challenges (P=.01) related to the cost of hardware and software (mean score 3.44/4, 95% CI 3.09-3.78) than states without a WDQS (mean score 2.63/4, 95% CI 2.25-3.00). The system aspect of standardization of vocabulary scored more favorably (P=.01) in states with a WDQS (mean score 3.32/5, 95% CI 2.94-3.69) than in states without a WDQS (mean score 2.85/5, 95% CI 2.47-3.22). CONCLUSIONS: Securing of adequate resources and commitment to standardization are vital in the dissemination of local-level health data. Factors such as receiving data in a timely manner, privacy, and political opposition are less significant barriers than anticipated.


Assuntos
Sistema de Vigilância de Fator de Risco Comportamental , COVID-19 , Nível de Saúde , Humanos , Internet , Pandemias , Política , Privacidade , Fatores de Tempo , Estados Unidos
9.
Zhonghua Yi Xue Za Zhi ; 101(26): 2081-2084, 2021 Jul 13.
Artigo em Chinês | MEDLINE | ID: mdl-34275243

RESUMO

Twenty-five patients diagnosed with otogenic vertigo at the outpatient clinic of the Department of Otolaryngology-Head and Neck Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital from January to June 2020 were selected. Among them, 8 cases were male and 17 cases were female, aged (48±13) years. All the patients underwent internet combined with offline follow-up vestibular rehabilitation for 12 weeks, which included vestibulo-ocular reflex exercises, proprioceptive exercises and static/dynamic balance exercises. Computerized dynamic posturography (CDP) and dizziness handicap inventory (DHI) scores were compared before and after rehabilitation. The DHI score improved significantly after 12 weeks of vestibular rehabilitation (48.3±15.9 vs 26.7±17.9, t=5.319, P<0.001). Meanwhile, the sensory organization test (SOT) score was also improved (73.3±8.1 vs 76.1±6.6, t=2.066, P=0.050), while the difference of motor control test (MCT) latent stage score before and after rehabilitation was not statistically significant (140±13 vs 141±16, t=0.791, P=0.436). The current study demonstrates that vestibular rehabilitation based on mobile internet is convenient, economical and effective, and patients can benefit from it.


Assuntos
Tontura , Doença de Meniere , China , Feminino , Humanos , Internet , Masculino , Equilíbrio Postural
11.
Comput Intell Neurosci ; 2021: 3092197, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34306050

RESUMO

With the development of the automobile industry, artificial intelligence, big data, 5G, and other technologies, the Internet of Vehicles (IoV) industry has entered a stage of rapid development. In this paper, a pollutant diffusion model based on an artificial neural network is designed in the context of a vehicle network. The application of artificial neural networks in haze prediction is studied. This paper first analyzes the causes and influencing factors of haze and selects the most representative and relatively large meteorological factors from temperature, wind, relative humidity, and several pollutant factors. Through training and simulation, a haze prediction model in the Beijing, Tianjin, and Hebei regions of China is established. Finally, according to the collected meteorological data, the pollutant diffusion model is established. The model is deduced by a standard mathematical formula, which makes the prediction results more accurate and rigorous, and the main conclusions and feasible scientific suggestions are obtained. The simulation results show that the method is effective. By strengthening the service system of the IoV, meteorological services can be more intelligent, and the information acquisition and service ability of the vehicle network can be effectively improved.


Assuntos
Poluentes Atmosféricos , Poluição do Ar , Poluentes Ambientais , Poluentes Atmosféricos/análise , Poluição do Ar/análise , Inteligência Artificial , Pequim , China , Monitoramento Ambiental , Internet , Redes Neurais de Computação , Material Particulado/análise
12.
Nucleic Acids Res ; 49(W1): W1-W4, 2021 07 02.
Artigo em Inglês | MEDLINE | ID: mdl-34212204
13.
J Surg Oncol ; 124(2): 193-199, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34245571

RESUMO

Telesimulation (TS), the process of using the internet to link educators and trainees at locations remote from one another, harnesses the powers of technology to enable access to high-quality simulation-based education and assessment to learners across the globe. From its first uses in the teaching and assessment of laparoscopic skills to more recent interpretations during the current pandemic, TS has shown promise in helping educators to address pressing dilemmas in medical education.


Assuntos
Educação à Distância/métodos , Educação de Pós-Graduação em Medicina/métodos , Avaliação Educacional/métodos , Treinamento por Simulação/métodos , Especialidades Cirúrgicas/educação , Tecnologia Educacional , Saúde Global , Humanos , Cooperação Internacional , Internet
14.
BMC Plant Biol ; 21(1): 339, 2021 Jul 17.
Artigo em Inglês | MEDLINE | ID: mdl-34273956

RESUMO

The traditional Chinese medicine (TCM) genome project aims to reveal the genetic information and regulatory network of herbal medicines, and to clarify their molecular mechanisms in the prevention and treatment of human diseases. Moreover, the TCM genome could provide the basis for the discovery of the functional genes of active ingredients in TCM, and for the breeding and improvement of TCM. The traditional Chinese Medicine Basic Local Alignment Search Tool (TCM-Blast) is a web interface for TCM protein and DNA sequence similarity searches. It contains approximately 40G of genome data on TCMs, including protein and DNA sequence for 36 TCMs with high medical value.The development of a publicly accessible TCM genome alignment database hosted on the TCM-Blast website ( http://viroblast.pungentdb.org.cn/TCM-Blast/viroblast.php ) has expanded to query multiple sequence databases to obtain TCM genome data, and provide user-friendly output for easy analysis and browsing of BLAST results. The genome sequencing of TCMs helps to elucidate the biosynthetic pathways of important secondary metabolites and provides an essential resource for gene discovery studies and molecular breeding. The TCMs genome provides a valuable resource for the investigation of novel bioactive compounds and drugs from these TCMs under the guidance of TCM clinical practice. Our database could be expanded to other TCMs after the determination of their genome data.


Assuntos
DNA de Plantas , Bases de Dados Genéticas , Genoma de Planta , Medicina Tradicional Chinesa , Plantas Medicinais/genética , Bases de Dados de Ácidos Nucleicos , Internet , Proteínas de Plantas/genética , Alinhamento de Sequência , Interface Usuário-Computador
15.
BMC Health Serv Res ; 21(1): 721, 2021 Jul 22.
Artigo em Inglês | MEDLINE | ID: mdl-34294112

RESUMO

BACKGROUND: Self-care is one of the cornerstones in the treatment of type 2 diabetes. Patients with type 2 diabetes struggle to maintain acceptable levels of blood sugar, blood pressure and lipids, the fundamental for the prevention of macro- and microvascular as well as neuropathic complications. The primary aim of the study was to evaluate the feasibility and describe patients' and caregivers' experiences of using the web- and smartphone-based system Triabetes. The secondary aim was to investigate if the use of the system could improve patients' clinical outcomes. METHODS: Feasibility was assessed with describing recruitment rate and the participant´s views of using the system. Laboratory and anthropometry data were also collected. RESULTS: The study showed that recruitment of patients to participate in the intervention was limited and compliance to the study protocol was low. A majority of the patients stated that the system was easy to get an overview of and that the system motivated them and made it easier and fun to handle lifestyle habits. A secondary finding of the study was that there was a significant lowering of LDL values. CONCLUSIONS: Feasibility in terms of recruitment rate was low. The participants agreed that the application overall was useful but suggested several improvements. Summarized lessons learned from this study are following: (1) we need more knowledge about what motivates a person to use a digital tool for a longer period of time; (2) the tool must be easy and less time consuming to use; (3) the technical structure needs to be improved and automatic recording of data must be improved.


Assuntos
Diabetes Mellitus Tipo 2 , Pressão Sanguínea , Diabetes Mellitus Tipo 2/terapia , Estudos de Viabilidade , Humanos , Internet , Cooperação do Paciente
16.
Sensors (Basel) ; 21(14)2021 Jul 07.
Artigo em Inglês | MEDLINE | ID: mdl-34300403

RESUMO

Due to the prevalence of globalization and the surge in people's traffic, diseases are spreading more rapidly than ever and the risks of sporadic contamination are becoming higher than before. Disease warnings continue to rely on censored data, but these warning systems have failed to cope with the speed of disease proliferation. Due to the risks associated with the problem, there have been many studies on disease outbreak surveillance systems, but existing systems have limitations in monitoring disease-related topics and internationalization. With the advent of online news, social media and search engines, social and web data contain rich unexplored data that can be leveraged to provide accurate, timely disease activities and risks. In this study, we develop an infectious disease surveillance system for extracting information related to emerging diseases from a variety of Internet-sourced data. We also propose an effective deep learning-based data filtering and ranking algorithm. This system provides nation-specific disease outbreak information, disease-related topic ranking, a number of reports per district and disease through various visualization techniques such as a map, graph, chart, correlation and coefficient, and word cloud. Our system provides an automated web-based service, and it is free for all users and live in operation.


Assuntos
Doenças Transmissíveis , Aprendizado Profundo , Mídias Sociais , Algoritmos , Surtos de Doenças , Humanos , Internet
17.
Sensors (Basel) ; 21(14)2021 Jul 12.
Artigo em Inglês | MEDLINE | ID: mdl-34300497

RESUMO

In residential energy management (REM), Time of Use (ToU) of devices scheduling based on user-defined preferences is an essential task performed by the home energy management controller. This paper devised a robust REM technique capable of monitoring and controlling residential loads within a smart home. In this paper, a new distributed multi-agent framework based on the cloud layer computing architecture is developed for real-time microgrid economic dispatch and monitoring. In this paper the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm-based Time of Use (ToU) pricing model is proposed to define the rates for shoulder-peak and on-peak hours. The results illustrate the effectiveness of the proposed the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm based ToU pricing scheme. A Raspberry Pi3 based model of a well-known test grid topology is modified to support real-time communication with open-source IoE platform Node-Red used for cloud computing. Two levels communication system connects microgrid system, implemented in Raspberry Pi3, to cloud server. The local communication level utilizes IP/TCP and MQTT is used as a protocol for global communication level. The results demonstrate and validate the effectiveness of the proposed technique, as well as the capability to track the changes of load with the interactions in real-time and the fast convergence rate.


Assuntos
Algoritmos , Computação em Nuvem , Computadores , Internet
18.
BMJ Open ; 11(7): e046364, 2021 07 08.
Artigo em Inglês | MEDLINE | ID: mdl-34244263

RESUMO

OBJECTIVE: Countries have major differences in the acceptance of face mask use for the prevention of COVID-19. This work aims at studying the information online in different countries in terms of information quality and content. DESIGN: Content analysis. METHOD: We analysed 450 webpages returned by searching the string 'are face masks dangerous' in Italy, the UK and the USA using three search engines (Bing, Duckduckgo and Google) in August 2020. The type of website and the stance about masks were assessed by two raters for each language and inter-rater agreement reported as Cohen's kappa. The text of the webpages was collected from the web using WebBootCaT and analysed using a corpus analysis software to identify issues mentioned. RESULTS: Most pages were news outlets, and few (2%-6%) from public health agencies. Webpages with a negative stance on masks were more frequent in Italian (28%) than English (19%). Google returned the highest number of mask-positive pages and Duckduckgo the lowest. Google also returned the lowest number of pages mentioning conspiracy theories and Duckduckgo the highest. Webpages in Italian scored lower than those in English in transparency (reporting authors, their credentials and backing the information with references). When issues about the use of face masks were analysed, mask effectiveness was the most discussed followed by hypercapnia (accumulation of carbon dioxide), contraindication in respiratory disease and hypoxia, with issues related to their contraindications in mental health conditions and disability mentioned by very few pages. CONCLUSIONS: This study suggests that: (1) public health agencies should increase their web presence in providing correct information on face masks; (2) search engines should improve the information quality criteria in their ranking; (3) the public should be more informed on issues related to the use of masks and disabilities, mental health and stigma arising for those people who cannot wear masks.


Assuntos
COVID-19 , Ferramenta de Busca , Humanos , Internet , Itália , Idioma , Máscaras , SARS-CoV-2
19.
BMC Health Serv Res ; 21(1): 688, 2021 Jul 12.
Artigo em Inglês | MEDLINE | ID: mdl-34253211

RESUMO

BACKGROUND: For people with Type 2 diabetes (T2D), lifestyle changes may be the most effective intervention. Online groups for people with diabetes holds a great potential to support such changes. However, little is known about the association between participation in online groups and lifestyle changes based on internet information in people with T2D. The aim of this study was to investigate the association between self-reported lifestyle changes and participation in online groups in people with T2D. METHODS: We used e-mail survey data from 1,250 members of The Norwegian Diabetes Association, collected in 2018. Eligible for analyses were the 540 respondents who reported to have T2D. By logistic regressions we studied the association between self-reported lifestyle changes and participation in online groups. Analyses were adjusted for gender, age, education, and time since diagnosis. RESULTS: We found that 41.9 % of the participants reported lifestyle changes based on information from the internet. Only 6 % had participated in online groups during the previous year. Among those with a disease duration of less than 10 years, 56.0 % reported lifestyle changes, whereas 33.4 % with a disease duration of 10 years or more did so. The odds for lifestyle changes were more than doubled for those who participated in online groups. People who had been diagnosed with diabetes for less than 10 years were significantly more likely to change their lifestyle compared to those with a longer disease duration. CONCLUSIONS: Lifestyle changes based on information from the internet among people with T2D are associated with participation in online groups. Lifestyle changes are also associated with time since diagnosis, making the first years after a T2D diagnosis particularly important for lifestyle interventions. People with T2D, web site developers, online group moderators, health care services, and patient organisations should be aware of this important window for lifestyle change, and encourage participation in online groups.


Assuntos
Diabetes Mellitus Tipo 2 , Estudos Transversais , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/epidemiologia , Diabetes Mellitus Tipo 2/terapia , Escolaridade , Humanos , Internet , Estilo de Vida , Inquéritos e Questionários
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