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1.
Health Res Policy Syst ; 20(1): 54, 2022 May 07.
Artigo em Inglês | MEDLINE | ID: mdl-35525967

RESUMO

BACKGROUND: Evidence briefs for policy (EBPs) represent a potentially powerful tool for supporting evidence-informed policy-making. Since 2012, WHO Evidence-Informed Policy Network (EVIPNet) Europe has been supporting Member States in developing EBPs. The aim of this study was to evaluate the process of developing EBPs in Estonia, Hungary and Slovenia. METHODS: We used a rapid appraisal approach, combining semi-structured interviews and document review, guided by the Medical Research Council (MRC) process evaluation framework. Interviews were conducted with a total of 20 individuals familiar with the EBP process in the three study countries. Data were analysed thematically, and emerging themes were related back to the MRC framework components (implementation, mechanisms of impact, and context). We also reflected on the appropriateness of this evaluation approach for EVIPNet teams without evaluation research expertise to conduct themselves. RESULTS: The following themes emerged as important to the EBP development process: how the focus problem is prioritized, who initiates this process, EBP team composition, EBP team leadership, availability of external support in the process, and the culture of policy-making in a country. In particular, the EBP process seemed to be supported by early engagement of the Ministry of Health and other stakeholders as initiators, clear EBP team roles and expectations, including a strong leader, external support to strengthen EBP team capacity and cultural acceptance of the necessity of evidence-informed policy-making. Overall, the evaluation approach was considered feasible by the EBP teams and captured rich qualitative data, but may be limited by the absence of external reviewers and long lag times between the EBP process and the evaluation. CONCLUSIONS: This process occurs in a complex system and must be conceptualized in each country and each EBP project in a way that fits local policy-making culture, priorities, leadership and team styles, roles and available resources. The use of a rapid appraisal approach, combining qualitative interviews and document review, is a feasible method of process evaluation for EVIPNet member countries.


Assuntos
Política de Saúde , Formulação de Políticas , Europa (Continente) , Humanos , Rede Social , Organização Mundial da Saúde
2.
Front Public Health ; 10: 763490, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35509511

RESUMO

Aim: Following the outbreak of the COVID-19 epidemic, China adopted community isolation management measures. During the "lockdown" period, urban communities were the most basic prevention and control unit for the epidemic. The effectiveness of community epidemic prevention directly affects the spread of the virus and social stability. Therefore, the aim of this study was to explore the status quo and influencing factors of psychological distress. Methods: For this study, 1,430 community households were randomly selected in key cities affected by the epidemic, and a questionnaire survey was administered during the lockdown period. A structural equation model was used to analyse the influencing factors of community epidemic prevention effects. A total of 1,326 valid questionnaires were collected, with a valid response rate of 92.73%. Results: In this study, the differences in psychological distress among different community types were statistically significant (t = 58.41, P < 0.01). The results showed that epidemic prevention capability played a mediating role. The results of the high-order structural equation model analysis showed that perceived social support (ß = -0.275, P = 0.000) and community social network (ß = -0.296, P < 0.01) were significantly negatively correlated with psychological distress. Conclusions: Community social support indirectly relieves psychological anxiety and improves the effect of epidemic prevention by enhancing residents' ability to prevent epidemics. The community social network help residents reduce the risk of outbreaks and indirectly alleviate psychological distress.


Assuntos
COVID-19 , Epidemias , Angústia Psicológica , COVID-19/epidemiologia , COVID-19/prevenção & controle , Controle de Doenças Transmissíveis , Humanos , SARS-CoV-2 , Rede Social , Apoio Social
3.
Addict Sci Clin Pract ; 17(1): 26, 2022 May 03.
Artigo em Inglês | MEDLINE | ID: mdl-35505383

RESUMO

BACKGROUND: Social networks may play positive and negative roles in the lives of young adults experiencing homelessness (YEH) who are transitioning into housing. Social networks can influence their alcohol and/or other drug (AOD) use, as well as provide immediate and long-term support necessary for a successful transition. METHODS: We adapted a four-session computer-assisted motivational interviewing social network intervention (MI-SNI) for YEH transitioning into housing. We iteratively adapted and beta tested the intervention for delivery by case managers at an organization that provides supportive housing to YEH. We conducted a focus group with agency staff (n = 6), role-play exercises with case managers (n = 3), and semi-structured interviews with residents (n = 6). Interview data were thematically analyzed with open coding. This study presents the first adaptation of an innovative social network-based motivational intervention to reduce AOD use and increase stable, prosocial supportive connections via visualizations of the structure and composition of the individual's social network. RESULTS: Participants rated sessions as "moderately" to "very" helpful and "good" quality on average. Participants agreed that the sessions were helpful, understandable, and satisfying and would work for new residents. Themes emerged in four broad categories: (1) Acceptability, (2) Positive benefits, (3) Visualization reactions, and (4) MI-SNI interface reactions. For the acceptability category, three sub-themes emerged: (1) understandability, (2) enjoyability and ease of use, (3) and barriers to acceptability. Five sub-themes emerged about the intervention's likelihood to trigger positive benefits: (1) learning/new insights, (2) enhancement to motivation to change, (3) making AOD changes, (4) building social support, and (5) the intervention's usefulness to some but not others. Five sub-themes also emerged from comments about the social network visualizations: (1) general positive comments, (2) understandability, (3) new insights, (4) triggering changes in social support, and (5) triggering changes in AOD use. When discussing the MI-SNI intervention interface beyond the visualizations, discussions emerged in three thematic categories: (1) discussion of name listing, (2) discussion of screen wording, and (3) the use of a computer interface to deliver the intervention. CONCLUSIONS: Results suggest that the MI-SNI is acceptable to YEH and can be feasibly delivered by case managers during case management sessions. Trial registration ClinicalTrials.gov Identifier: NCT04637815. Registered November 10, 2020.


Assuntos
Pessoas em Situação de Rua , Entrevista Motivacional , Transtornos Relacionados ao Uso de Substâncias , Computadores , Estudos de Viabilidade , Habitação , Humanos , Entrevista Motivacional/métodos , Rede Social , Transtornos Relacionados ao Uso de Substâncias/terapia , Adulto Jovem
4.
Comput Intell Neurosci ; 2022: 9985933, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35371203

RESUMO

With the rapid development of mobile medical care, medical institutions also have the hidden danger of privacy leakage while sharing personal medical data. Based on the k-anonymity and l-diversity supervised models, it is proposed to use the classified personalized entropy l-diversity privacy protection model to protect user privacy in a fine-grained manner. By distinguishing solid and weak sensitive attribute values, the constraints on sensitive attributes are improved, and the sensitive information is reduced for the leakage probability of vital information to achieve the safety of medical data sharing. This research offers a customized information entropy l-diversity model and performs experiments to tackle the issues that the information entropy l-diversity model does not discriminate between strong and weak sensitive features. Data analysis and experimental results show that this method can minimize execution time while improving data accuracy and service quality, which is more effective than existing solutions. The limits of solid and weak on sensitive qualities are enhanced, sensitive data are reduced, and the chance of crucial data leakage is lowered, all of which contribute to the security of healthcare data exchange. This research offers a customized information entropy l-diversity model and performs experiments to tackle the issues that the information entropy l-diversity model does not discriminate between strong and weak sensitive features. The scope of this research is that this paper enhances data accuracy while minimizing the algorithm's execution time.


Assuntos
Segurança Computacional , Privacidade , Algoritmos , Atenção à Saúde , Aprendizado de Máquina , Rede Social
5.
Comput Intell Neurosci ; 2022: 9404242, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35378814

RESUMO

In today's era, social networking platforms are widely used to share emotions. These types of emotions are often analyzed to predict the user's behavior. In this paper, these types of sentiments are classified to predict the mental illness of the user using the ensembled deep learning model. The Reddit social networking platform is used for the analysis, and the ensembling deep learning model is implemented through convolutional neural network and the recurrent neural network. In this work, multiclass classification is performed for predicting mental illness such as anxiety vs. nonanxiety, bipolar vs. nonbipolar, dementia vs. nondementia, and psychotic vs. nonpsychotic. The performance parameters used for evaluating the models are accuracy, precision, recall, and F1 score. The proposed ensemble model used for performing the multiclass classification has performed better than the other models, with an accuracy greater than 92% in predicting the class.


Assuntos
Aprendizado Profundo , Transtornos Mentais , Humanos , Transtornos Mentais/diagnóstico , Redes Neurais de Computação , Rede Social
6.
Comput Intell Neurosci ; 2022: 7937667, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35378816

RESUMO

Social media networking is a prominent topic in real life, particularly at the current moment. The impact of comments has been investigated in several studies. Twitter, Facebook, and Instagram are just a few of the social media networks that are used to broadcast different news worldwide. In this paper, a comprehensive AI-based study is presented to automatically detect the Arabic text misogyny and sarcasm in binary and multiclass scenarios. The key of the proposed AI approach is to distinguish various topics of misogyny and sarcasm from Arabic tweets in social media networks. A comprehensive study is achieved for detecting both misogyny and sarcasm via adopting seven state-of-the-art NLP classifiers: ARABERT, PAC, LRC, RFC, LSVC, DTC, and KNNC. To fine tune, validate, and evaluate all of these techniques, two Arabic tweets datasets (i.e., misogyny and Abu Farah datasets) are used. For the experimental study, two scenarios are proposed for each case study (misogyny or sarcasm): binary and multiclass problems. For misogyny detection, the best accuracy is achieved using the AraBERT classifier with 91.0% for binary classification scenario and 89.0% for the multiclass scenario. For sarcasm detection, the best accuracy is achieved using the AraBERT as well with 88% for binary classification scenario and 77.0% for the multiclass scenario. The proposed method appears to be effective in detecting misogyny and sarcasm in social media platforms with suggesting AraBERT as a superior state-of-the-art deep learning classifier.


Assuntos
Inteligência Artificial , Mídias Sociais , Humanos , Rede Social
7.
BMC Geriatr ; 22(1): 360, 2022 Apr 23.
Artigo em Inglês | MEDLINE | ID: mdl-35461211

RESUMO

BACKGROUND: Effective strategies to develop dementia-friendly communities (DFCs) are needed in aging societies. We aimed to propose a strategy to develop DFCs from a Japanese perspective and to evaluate an intervention program that adopted the strategy. METHODS: This study implemented a multi-level intervention that emphasized nurturing community social capital in a large apartment complex in the Tokyo metropolitan area in 2017. We offered an inclusive café that was open for extended hours as a place to socialize and a center for activities that included monthly public lectures. Individual consultation on daily life issues was also available for free at the café. Postal surveys were sent out to all older residents aged 70 years and older in 2016 and 2019. With a one-group pre-test and post-test design, we assessed changes in the proportion of older residents who had social interaction with friends and those who were confident about living in the community, even if they were living with dementia. RESULTS: Totals of 2633 and 2696 residents completed the pre and post-intervention surveys, respectively. The mean age of the pre-intervention respondents was 77.4 years; 45.7% lived alone and 7.7% reported living with impaired cognitive function. The proportion of men who had regular social interaction and were confident about living in their community with dementia increased significantly from 38.8 to 44.5% (p = 0.0080) and from 34.1 to 38.3% (p = 0.045), respectively. Similar significant increases were observed in the subgroup of men living with impaired cognitive function, but not in the same subgroup for women. CONCLUSIONS: The intervention benefitted male residents who were less likely to be involved in the community's web of social networks at baseline. A strategy to create DFCs that emphasizes nurturing community social capital can form a foundation for DFCs. TRIAL REGISTRATION: This study was retrospectively registered in the University hospital Medical Information Network (UMIN) Clinical Trial Registry (registry number: UMIN000038193 , date of registration: Oct 3, 2019).


Assuntos
Demência , Capital Social , Idoso , Idoso de 80 Anos ou mais , Demência/diagnóstico , Demência/epidemiologia , Demência/terapia , Feminino , Humanos , Japão/epidemiologia , Masculino , Rede Social , Inquéritos e Questionários
8.
BMC Geriatr ; 22(1): 358, 2022 Apr 23.
Artigo em Inglês | MEDLINE | ID: mdl-35461217

RESUMO

BACKGROUND: The expression of chronic pain remains a delicate matter for those older persons who suffer from this condition. If many studies highlight the difficulties of putting pain into words, scarce are those that take into account how given social networks can facilitate or prevent its expression. Based on a qualitative study that explores the communication about chronic pain in older persons' social network, this article reports on this key issue of talking about health in later life within family settings and provides clinicians with information about the way older persons with chronic conditions perceive their everyday realities and social relations. METHODS: A multidisciplinary research team (medicine, linguistics and psychology) interviewed 49 persons with chronic pain, all from the French-speaking part of Switzerland, aged 75 and older, without any major cognitive or auditory impairments. After transcription, the interviews were analyzed by combining content and discourse analysis with social network theories. RESULTS: Communication about chronic pain depends significantly on the position of the interlocutors within the family structure, with a preference for direct relatives or individuals with similar difficulties. In social networks, the ability to communicate about chronic pain is both a resource (by allowing older persons to get help or by strengthening interpersonal relations) and a challenge (by threatening their autonomy, social relations or self-esteem). CONCLUSIONS: The study shows the predominance of the nuclear family (partner, children) in communication relating specifically to the everyday management of chronic pain. This state of affairs is, nevertheless, balanced by issues of (loss of) autonomy. These findings, in line with current trends in geriatrics, could benefit future reflections on the scope and limits of including relatives in the care of older patients with chronic conditions.


Assuntos
Dor Crônica , Idoso , Idoso de 80 Anos ou mais , Dor Crônica/diagnóstico , Dor Crônica/epidemiologia , Dor Crônica/terapia , Comunicação , Humanos , Pesquisa Qualitativa , Rede Social , Suíça/epidemiologia
9.
Trials ; 23(1): 346, 2022 Apr 23.
Artigo em Inglês | MEDLINE | ID: mdl-35461297

RESUMO

BACKGROUND: Premenstrual syndrome (PMS) is one of the most widespread menstrual disorders in women of reproductive age. This recurrent syndrome is a combination of physically, mentally, or behaviorally disturbing changes occurring during the secretory phase of the menstrual cycle. The aim of this study is to determine the effect of a cognitive-behavioral therapy-based educational intervention using social networks on PMS in female health center employees in Rudbar, Iran. METHODS/DESIGN: A randomized superiority controlled trial will be conducted involving 140 female employees of health centers affiliated with the Guilan University of Medical Sciences, Rudbar. The study involves a block size of 4 and 6 in a randomly varied order, 140 women who meet all the inclusion criteria will be randomly and equally divided into 2 groups: the intervention and the control groups. Those in the former group will receive a cognitive-behavioral therapy-based treatment for eight consecutive weeks on the social network platform WhatsApp; however, those in the control group will not be offered any treatment except usual care practices (unprotocolized usual care). The study's primary outcome is the severity of PMS symptoms, and the secondary outcomes include general self-efficacy, work-related quality of life, the impact of PMS on daily life, coping with the symptoms, and experiencing anxiety and depression at the beginning of the study to identify people with PMS. A daily record of the symptoms will be completed for two consecutive months by all female employees aged 20-45 years who wish to participate in the study. According to the initial screening, those with moderate to severe PMS will be included. We will use the MLwin software for the analyses. All questionnaires will be completed by both groups immediately and 8 weeks after the termination of the treatment. The data will be analyzed using linear mixed-effects modeling with random intercepts and slopes. DISCUSSION: It is anticipated that the findings of the present study may demonstrate the effectiveness of the cognitive behavioral therapy intervention on the severity of PMS symptoms that could guide healthcare providers in opting for suitable treatment alternatives for the syndrome. ETHICS AND DISSEMINATION: The research proposal is approved by the Human Ethics Committee of Qazvin University of Medical Sciences (IR.QUMS.REC.1399.252). The results of this intervention trial will be submitted for publication in a peer-reviewed research journal. TRIAL REGISTRATION: Iranian Registry of Clinical Trials IRCT20180218038789N4 . Registered prospectively on October 28, 2020.


Assuntos
Terapia Cognitivo-Comportamental , Síndrome Pré-Menstrual , Feminino , Humanos , Irã (Geográfico) , Masculino , Síndrome Pré-Menstrual/tratamento farmacológico , Síndrome Pré-Menstrual/terapia , Qualidade de Vida , Ensaios Clínicos Controlados Aleatórios como Assunto , Projetos de Pesquisa , Rede Social , Resultado do Tratamento
10.
Rev Bras Enferm ; 75Suppl 2(Suppl 2): e20210540, 2022.
Artigo em Inglês, Português | MEDLINE | ID: mdl-35476097

RESUMO

OBJECTIVES: to evidence and analyze the health needs of mothers of children with Congenital Zika Syndrome. METHODS: a total of 44 articles published between October/2015 and March/2021 on PubMed, LILACS, Scopus, Web of Science and Science Direct were included. The RTI bank and CASP score were applied to classify the methodological quality of the studies. Reflective content analysis and Cecílio and Matsumoto's taxonomy were used for analysis. Visual map was used as a technique for presenting the results. RESULTS: mothers need access to social protection, family-centered, multi-professional empathetic monitoring, cultivating bonds and affection by professionals, sharing of care between health network services, strengthening the social support network and fostering coexistence groups between them. FINAL CONSIDERATIONS: intersectoral initiatives must be implemented for better housing conditions, fighting stigma, holding parents accountable and resuming life project.


Assuntos
Infecção por Zika virus , Zika virus , Criança , Feminino , Humanos , Mães , Pais , Rede Social , Apoio Social , Infecção por Zika virus/complicações
11.
BMC Public Health ; 22(1): 836, 2022 Apr 26.
Artigo em Inglês | MEDLINE | ID: mdl-35473610

RESUMO

BACKGROUND: Parents frequently seek parental advice online and on social media; thus, these channels should be better utilized in child health interventions. The Parents in Child Nutrition Informing Community (PICNIC) program aims to facilitate peer-to-peer sharing of evidence-based child feeding information and support parents within their social networks. The present study aimed to explore web and social media analytics to evaluate reach and user engagement with the PICNIC online components. METHODS: Online user activity data from the PICNIC Facebook closed group and public Page were collected through Facebook Insights, and program-specific website traffic data through Google Analytics. Analytics data from Nov-2019 to April-2021 was evaluated through visualisation and summary statistics to obtain insights into program growth and current reach in Australia, compare demographics of audience reached through the online channels, and explore parents' use and engagement in PICNIC content. RESULTS: Results showed steady program growth in the 18 months of recruitment; participant numbers grew from 102 to 261 peer educators while the Facebook Page audience increased threefold, totalling 1615 followers. Intervention posts shared on Facebook (4-5 posts/week) typically reached only a portion of PICNIC Page followers each week, but also reached a wider audience through their friends. Throughout the evaluated period, Facebook users actively engaged in PICNIC posts, although the level of engagement varied considerably from post to post. Furthermore, results from this study suggest the strategy of directing potentially interested parents from social media to the website for program sign-up was successful. Finally, the explored data gave insights into users' availability, demographics and engagement, which will be used to inform refinement of the PICNIC website and social media strategies. CONCLUSIONS: Our findings confirm the benefits of using a peer education approach and existing social network channels to disseminate evidence-based child feeding information to parents. This study also demonstrates the usefulness of web and social media analytics to be used as part of a continuous evaluation for gaining insight to inform further development and improvement of program strategies. TRIAL REGISTRATION: The PICNIC project was retrospectively submitted for registration with the Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN12622000230752 (09/02/2022).


Assuntos
Mídias Sociais , Austrália , Criança , Humanos , Pais , Estudos Retrospectivos , Rede Social
12.
Sci Rep ; 12(1): 6789, 2022 Apr 26.
Artigo em Inglês | MEDLINE | ID: mdl-35474324

RESUMO

Social networks are fundamental to the broad scale cooperation observed in human populations. But by structuring the flow of benefits from cooperation, networks also create and sustain macro-level inequalities. Here we ask how two aspects of inequality shape the evolution of cooperation in dynamic social networks. Results from a crowdsourced experiment (N = 1080) show that inequality alters the distribution of cooperation within networks such that participants engage in more costly cooperation with their wealthier partners in order to maintain more valuable connections to them. Inequality also influences network dynamics, increasing the tendency for participants to seek wealthier partners, resulting in structural network change. These processes aggregate to alter network structures and produce greater system-level inequality. The findings thus shed critical light on how networks serve as both boon and barrier to macro-level human flourishing.


Assuntos
Comportamento Cooperativo , Rede Social , Humanos , Registros
13.
J Med Internet Res ; 24(4): e30898, 2022 04 29.
Artigo em Inglês | MEDLINE | ID: mdl-35486428

RESUMO

BACKGROUND: The emerging health technologies and digital services provide effective ways of collecting health information and gathering patient-generated health data (PGHD), which provide a more holistic view of a patient's health and quality of life over time, increase visibility into a patient's adherence to a treatment plan or study protocol, and enable timely intervention before a costly care episode. OBJECTIVE: Through a national cross-sectional survey in the United States, we aimed to describe and compare the characteristics of populations with and without mental health issues (depression or anxiety disorders), including physical health, sleep, and alcohol use. We also examined the patterns of social networking service use, PGHD, and attitudes toward health information sharing and activities among the participants, which provided nationally representative estimates. METHODS: We drew data from the 2019 Health Information National Trends Survey of the National Cancer Institute. The participants were divided into 2 groups according to mental health status. Then, we described and compared the characteristics of the social determinants of health, health status, sleeping and drinking behaviors, and patterns of social networking service use and health information data sharing between the 2 groups. Multivariable logistic regression models were applied to assess the predictors of mental health. All the analyses were weighted to provide nationally representative estimates. RESULTS: Participants with mental health issues were significantly more likely to be younger, White, female, and lower-income; have a history of chronic diseases; and be less capable of taking care of their own health. Regarding behavioral health, they slept <6 hours on average, had worse sleep quality, and consumed more alcohol. In addition, they were more likely to visit and share health information on social networking sites, write online diary blogs, participate in online forums or support groups, and watch health-related videos. CONCLUSIONS: This study illustrates that individuals with mental health issues have inequitable social determinants of health, poor physical health, and poor behavioral health. However, they are more likely to use social networking platforms and services, share their health information, and actively engage with PGHD. Leveraging these digital technologies and services could be beneficial for developing tailored and effective strategies for self-monitoring and self-management.


Assuntos
Informática Médica , Saúde Mental , Estudos Transversais , Tecnologia Digital , Feminino , Humanos , Qualidade de Vida , Rede Social , Estados Unidos
14.
Comput Intell Neurosci ; 2022: 4395358, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35432513

RESUMO

Rapid technological advancements are altering people's communication styles. With the growth of the Internet, social networks (Twitter, Facebook, Telegram, and Instagram) have become popular forums for people to share their thoughts, psychological behavior, and emotions. Psychological analysis analyzes text and extracts facts, features, and important information from the opinions of users. Researchers working on psychological analysis rely on social networks for the detection of depression-related behavior and activity. Social networks provide innumerable data on mindsets of a person's onset of depression, such as low sociology and activities such as undergoing medical treatment, a primary emphasis on oneself, and a high rate of activity during the day and night. In this paper, we used five machine learning classifiers-decision trees, K-nearest neighbor, support vector machines, logistic regression, and LSTM-for depression detection in tweets. The dataset is collected in two forms-balanced and imbalanced-where the oversampling of techniques is studied technically. The results show that the LSTM classification model outperforms the other baseline models in the depression detection healthcare approach for both balanced and imbalanced data.


Assuntos
Depressão , Mídias Sociais , Depressão/diagnóstico , Emoções , Humanos , Aprendizado de Máquina , Rede Social
15.
Eur Rev Med Pharmacol Sci ; 26(6): 1809-1815, 2022 03.
Artigo em Inglês | MEDLINE | ID: mdl-35363327

RESUMO

OBJECTIVE: The purpose of this study was to generally assess the degree of women's dependence on social networking sites on the example of Facebook, taking into account personality traits according to the five-factor model of personality, the so-called Big Five. PATIENTS AND METHODS: The study included 556 women. This survey-based study was carried out using the questionnaire technique. The following research tools were used to analyze behavioral addictions in adult women: the Bergen Facebook Addiction Scale (BFAS), the NEO Five-Factor Inventory (NEO FFI) and the author's questionnaire. RESULTS: Among the surveyed women, 69.6% were average Facebook users, of whom 16.4% had scores indicating possible Facebook addiction, and 14.0% had scores indicating addiction. The higher the neuroticism, the more serious the Facebook addiction. A weak negative correlation was obtained for the agreeableness subscale. A weak negative correlation was also obtained for the subscale of conscientiousness. There was no statistically significant correlation between the log10 score obtained on the BFAS and the score on the NEO-FFI subscales of extraversion and openness to experience. CONCLUSIONS: The personality types of the studied women indicated relationships in terms of behavioral addictions. Women characterized by neuroticism showed stronger addiction to Facebook. Women characterized by high conscientiousness were at lower risk of behavioral addictions, while agreeableness as a personality trait significantly protected the surveyed women against Facebook addiction.


Assuntos
Comportamento Aditivo , Mídias Sociais , Adulto , Feminino , Humanos , Neuroticismo , Personalidade , Inventário de Personalidade , Rede Social , Inquéritos e Questionários
16.
Eur J Cancer Care (Engl) ; 31(3): e13578, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-35416341

RESUMO

OBJECTIVE: The role of social networks, especially weaker ties (e.g. casual acquaintances and hobby groups), in self-management of long-term consequences of cancer is unexplored. This study aimed to explore the structure of cancer survivors' social networks and their contribution to self-management support and health-related quality of life (HRQoL). METHODS: The study used a sequential, exploratory mixed methods design. Phase 1 surveyed 349 lymphoma, colorectal, breast and prostate cancer survivors. Phase 2 analysed 20 semi-structured interviews with respondents recruited from Phase 1. RESULTS: Phase 1 results suggested participants' HRQoL increased if they participated in an exercise group, if their self-management skills increased, and social distress and negative illness perception decreased (p < 0.0005 adj. R2 = 0.631). These findings were explored in Phase 2, identifying underlying mechanisms. Four themes were identified: disrupted networks after cancer treatment; navigating formal support and building individual capacity; peer networks and self-management knowledge and linking networks to enable adaptation in recovery. CONCLUSIONS: This study suggests engagement with community groups, particularly those not directly related to illness management and social interaction with weak ties, make a valuable contribution to self-management support, increase HRQoL and enhance well-being.


Assuntos
Sobreviventes de Câncer , Neoplasias da Próstata , Autogestão , Humanos , Masculino , Neoplasias da Próstata/terapia , Qualidade de Vida , Rede Social , Apoio Social
17.
JMIR Public Health Surveill ; 8(4): e32156, 2022 Apr 05.
Artigo em Inglês | MEDLINE | ID: mdl-35380540

RESUMO

BACKGROUND: Men who have sex with men (MSM) who undergo voluntary HIV counseling and testing (VCT) often report condomless anal sexual intercourse, having many sexual partners, and being exposed to risky sexual networks. Limited research has discussed the application of motivational interviewing and convenience referral platforms to facilitate the referral of sexual partners for HIV testing among MSM. OBJECTIVE: This study aimed to evaluate the effects of VCT referral by sexual partners through social networking platforms and the test results after elicited interviews with MSM; compare the characteristics and risk behaviors among MSM tested without referral, index subjects, and referred sexual partners; and explore unknown sexual affiliations through visualizing and quantifying the social network graph. METHODS: This was a cross-sectional study. Purposeful sampling was used to recruit index subjects from a community HIV screening station frequented by MSM in Taipei City on Friday and Saturday nights. Respondent-driven sampling was used to recruit sexual partners. Partner-elicited interviews were conducted by trained staff before VCT to motivate MSM to become index subjects and refer sexual partners via the Line app, or to disclose the accounts and profiles of sexual partners on relevant social networking platforms. Referred sexual partners received rapid HIV testing, and the recruitment process was repeated until leads were exhausted. RESULTS: After the interviews, 28.2% (75/266) of MSM were successfully persuaded to become index subjects in the first wave, referring 127 sexual partners via the Line app for rapid HIV testing and disclosing 40 sexual partners. The index subjects and tested sexual partners had more sexual partners (F2=3.83, P=.02), more frequent anal intercourse (F2=10.10, P<.001), and higher percentages of those who had not previously received HIV testing (χ21=6.1, P=.047) compared with MSM tested without referrals. The new HIV-seropositivity rate among tested sexual partners was 2.4%, which was higher than the rate in the other 2 groups. The social network analysis revealed the following 4 types of sexual affiliation: chain, Y, star, and complicated. Among the HIV-negative sexual partners, 26.9% (43/160) had sexual affiliations with HIV-positive nodes, and 40% (10/25) were untested sexual partners with a direct sexual affiliation with an HIV-positive node. Four transmission bridges were found in the network graph. CONCLUSIONS: Partner-elicited interviews can effectively promote referral for HIV testing and case identification via Line, and can clarify unknown sexual affiliations of MSM to facilitate the development of a tailored prevention program. Social network analysis is needed for an insightful understanding of the different network structures.


Assuntos
Infecções por HIV , Minorias Sexuais e de Gênero , Estudos Transversais , Infecções por HIV/diagnóstico , Infecções por HIV/epidemiologia , Infecções por HIV/prevenção & controle , Teste de HIV , Homossexualidade Masculina/psicologia , Humanos , Masculino , Encaminhamento e Consulta , Parceiros Sexuais , Rede Social
18.
PLoS One ; 17(4): e0264771, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35439250

RESUMO

Most realistic social communities are multi-profiled cross-communities constructed from users sharing commonalities that include adaptive social profile ingredients (i.e., natural adaptation to certain social traits). The most important types of such cross-communities are the densest holonic ones, because they exhibit many interesting properties. For example, such a cross-community can represent a portion of users, who share all the following traits: ethnicity, religion, neighbourhood, and age-range. The denser a multi-profiled cross-community is, the more granular and holonic it is and the greater the number of its members, whose interests are exhibited in the common interests of the entire cross-community. Moreover, the denser a cross-community is, the more specific and distinguishable its interests are (e.g., more distinguishable from other cross-communities). Unfortunately, methods that advocate the detection of granular multi-profiled cross-communities have been under-researched. Most current methods detect multi-profiled communities without consideration to their granularities. To overcome this, we introduce in this paper a novel methodology for detecting the smallest and most granular multi-profiled cross-community, to which an active user belongs. The methodology is implemented in a system called ID_CC. To improve the accuracy of detecting such cross-communities, we first uncover missing links in social networks. It is imperative for uncovering such missing links because they may contain valuable information (social characteristics commonalities, cross-memberships, etc.). We evaluated ID_CC by comparing it experimentally with eight methods. The results of the experiments revealed marked improvement.


Assuntos
Religião , Rede Social , Coleta de Dados , Humanos , Características de Residência
19.
BMC Oral Health ; 22(1): 153, 2022 Apr 29.
Artigo em Inglês | MEDLINE | ID: mdl-35488334

RESUMO

BACKGROUND: Social factors are important determinants of health. However, evidence from longitudinal studies on the possible role of changes in socioeconomic circumstances on adult's oral health is scarce. This study aimed to test whether changes in income and changes in social networks of family members and friends were associated with trajectories of self-rated oral health (SROH) among adults over a 13-year period. METHODS: A prospective cohort study (Pro-Saude Study) was conducted involving non-faculty civil servants at university campi in Rio de Janeiro, Brazil. Individual data was collected through self-completed questionnaires in four waves (1999, 2001, 2007 and 2012). SROH trajectories between 2001 and 2012 were "Good-stable SROH", "Changed SROH", "Poor-stable SROH". Per capita family income and social networks of family members and friends data obtained in 1999 and 2012 were grouped into "High stable", "Increase", "Decrease", "Low stable". Ordinal logistic regression using complete data of 2118 participants was used to estimate odds ratio (OR) and 95% CIs of changes in income and changes in social networks with SROH trajectories, adjusted for age, sex, skin colour and marital status. RESULTS: Participants in the low income-stable and small social networks-stable groups showed 2.44 (95% CI 1.68-3.55) and 1.98 (95% CI 1.38-2.85) higher odds for worst trajectory of SRHO than those in the respective high-stable groups. Those in the decrease income group and decrease social networks group were 78% (95% CI 1.25-2.54) and 58% (95% CI 1.07-2.34) more likely to worst trajectory of SRHO than those in the high income-stable and high social networks-stable groups. CONCLUSIONS: Adults reporting low income and low social networks of family members and friends over 13 years and those with income and social networks decrease during the study period were at higher risk of having worsened their self-rated oral health.


Assuntos
Saúde Bucal , Rede Social , Adulto , Brasil , Humanos , Estudos Longitudinais , Estudos Prospectivos
20.
Subst Use Misuse ; 57(7): 1111-1119, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35437097

RESUMO

Background: The vast majority of adolescents and young adults are active on social networking sites (SNSs). SNSs are influential, risk-conducive environments for alcohol use among adolescents and young adults. Specifically, posting or sharing alcohol-related content (ARC) is associated with higher levels of alcohol use. However, it is unknown if sharing different types of ARC associates differentially with alcohol use and consequences. Objective: The goal of the current project was to develop a measure of the likelihood of posting key types of ARC posted by adolescents and young adults and to examine their associations with SNS use patterns and actual alcohol-related behavior. Method: Participants were 15-20 years of age (n = 306; 46.7% male; 56.6% Caucasian/White; 27.0% Asian) who completed a battery of self-report measures. Results: Results from an exploratory factor analysis revealed four types of ARC: (1) self and friend consumption, (2) memes and viral photos, (3) status updates: others' drinking and consequences, and (4) pictures: others' drinking and consequences. Conclusions: Participants' likelihood of posting self and Friend Consumption was significantly associated with heightened Snapchat use, typical drinks per week, peak drinking, and negative drinking consequences. Whereas youth appear to share more readily alcohol-related viral posts and memes, it seems that the sharing of ARC that is specifically related to the participants' own use or friends' use is salient concerning alcohol use and problems. Therefore, interventions might consider sending targeted prevention messages to individuals who share certain types of ARC which are more associated with problematic alcohol behaviors.


Assuntos
Consumo de Bebidas Alcoólicas , Rede Social , Adolescente , Feminino , Amigos , Humanos , Masculino , Motivação , Autorrelato , Adulto Jovem
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