The social network context of HIV stigma: Population-based, sociocentric network study in rural Uganda

Abstract How can we differentiate distinct phases of aging in later life? Theorizations of the third and fourth age posit that later life often involves a time of continued growth and increased opportunity (the “third age”) as well as a time marked by growing cognitive, physical, and social losses (the “fourth age”). In contrast to population-based definitions that place this transition around the age of 80, a person-based definition using frailty as a marker offers more sensitivity by focusing on ability and agency instead of age alone. In this study, we apply both definitions in order to examine the social characteristics of the fourth age. Using a nationally representative sample of adults over the age of 65 from from the National Health and Aging Trends Study (NHATS) seventh round (n=6,312) we find that the population-based definition overestimates the number of adults in the fourth age (2,834 vs 569; p<0.001). Additionally, social network patterns observed when comparing adults above and below the age of 80 - increased rates of including a daughter or son and a decreased rate of including a friend - are not seen when comparing adults who do and do not meet criteria for frailty. Our findings suggest that common understandings of the social characteristics of the oldest old - understandings with important implications for policy and the promotion of human dignity - may be biased by focusing on age alone as a marker of change instead of ability and agency.

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Associations Between Social Support, Social Networks, and Financial Exploitation in Older Adults

Journal of Applied Gerontology ◽

10.1177/0733464816642584 ◽

2016 ◽

Vol 37 (8) ◽

pp. 990-1011 ◽

Cited By ~ 7

Author(s):

Scott R. Beach ◽

Richard Schulz ◽

Rodlescia Sneed

Keyword(s):

Social Support ◽

Older Adults ◽

Social Networks ◽

Social Network ◽

Perceived Social Support ◽

Population Based ◽

Network Size ◽

Social Network Size ◽

Financial Exploitation ◽

The Social

Social support and social networks are important correlates of elder mistreatment. This study tests hypothesized associations between perceived social support, social network size, and financial exploitation (FE). A population-based survey of 903 older adults (60+) in Allegheny County (Pittsburgh, Pennsylvania) found that lower perceived social support and larger social networks were simultaneously associated with higher risk for FE since age 60, controlling for known risk factors. The same associations were found for FE in the last 6 months. Older adults with larger social networks combined with lower perceived social support were most likely to report FE. When it comes to the role of social relationships and risk for FE, “more may not always be better.” Encouragement to widen the social network by “making new friends” should be stressed less than making sure these new network members will truly be supportive of the older adult.

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Prevalence of depressive symptoms and suicidal thoughts among elderly persons in rural Bangladesh

International Psychogeriatrics ◽

10.1017/s104161021500109x ◽

2015 ◽

Vol 27 (12) ◽

pp. 1999-2008 ◽

Cited By ~ 12

Author(s):

Åke Wahlin ◽

Katie Palmer ◽

Ola Sternäng ◽

Jena D. Hamadani ◽

Zarina Nahar Kabir

Keyword(s):

Social Network ◽

Depressive Symptoms ◽

Population Based ◽

Elderly Persons ◽

Suicidal Thoughts ◽

Population Based Study ◽

Rural Bangladesh ◽

Dichotomous Variable ◽

The Social

ABSTRACTBackground:Depression, if broadly defined, is the commonest late-life mental disorder. We examined the distribution of depressive symptoms and suicidal thoughts, across age, sex, literacy, and marital status, among elderly individuals residing in rural Bangladesh and participating in a population-based study on health and aging.Methods:Prevalence figures of depressive symptoms were assessed with SRQ20 (n = 625), and possible social network and economic associations were examined. Morbidity accounts of depressive symptoms and suicidal thoughts were examined for a subsample that also underwent complete medical examination (n = 471).Results:We selected for analyses the items that corresponded to DSM-IV criteria and constructed a dichotomous variable. The prevalence was 45%, and most pronounced among the oldest women (70%). The overall prevalence of suicidal thoughts was 23%. Being a woman, illiterate or single were all risk factors for depressive symptoms and suicidal thoughts. These associations remained unaccounted for by the social network and economic variables. Co-residing with a child and having a high quality of contact were protective of both depressive symptoms and suicidal thoughts. The main findings were replicated in the subsample, where it was found that morbidities were also associated with the outcomes, independently of the four main predictors.Conclusions:Prevalence figures for depressive symptoms among elderly in rural Bangladesh are high. Demographic, social network, and morbidity factors are independently associated with both depressive symptoms and suicidal thoughts. This is the first study to report prevalence figures for depressive symptoms in this population.

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The social network

Skin & Allergy News ◽

10.1016/s0037-6337(13)70045-7 ◽

2013 ◽

Vol 44 (2) ◽

pp. 22

Author(s):

ALAN ROCKOFF

Keyword(s):

Social Network ◽

The Social

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The Multilevel p2 Model

Methodology ◽

10.1027/1614-2241.2.1.42 ◽

2006 ◽

Vol 2 (1) ◽

pp. 42-47 ◽

Cited By ~ 47

Author(s):

Bonne J. H. Zijlstra ◽

Marijtje A. J. van Duijn ◽

Tom A. B. Snijders

Keyword(s):

Social Network ◽

Network Data ◽

Mcmc Algorithm ◽

Independent Observation ◽

Single Observation ◽

Multiple Networks ◽

Social Network Data ◽

Multiple Observations ◽

Practical Support ◽

The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

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ПРАГМАТИЧНИЙ ПОТЕНЦІАЛ НАТИВНОЇ РЕКЛАМИ: ФОРМИ, ТРЕНДИ (НА ПРИКЛАДІ НАТИВНОГО КОНТЕНТУ В СОЦІАЛЬНІЙ МЕРЕЖІ FACEBOOK ЩОДО БРЕНДА ФАКУЛЬТЕТУ ЖУРНАЛІСТИКИ ЗНУ)

State and Regions. Series: Social Communications ◽

10.32840/cpu2219-8741/2020.1(41).18 ◽

2020 ◽

pp. 113

Author(s):

V. Kovpak ◽

N. Trotsenko

Keyword(s):

Social Network ◽

Professional Training ◽

Educational Process ◽

Communication Strategy ◽

Student Centered ◽

Teacher Student ◽

The Social ◽

National University ◽

High Level ◽

The Impact

<div>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</div>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).Key words: nativeness, native advertising, branded content, special project, communication strategy.

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Emotive Trending And Tracking of Tweets

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i11.463 ◽

2017 ◽

Vol 7 (11) ◽

pp. 25

Author(s):

Sanjay Chhataru Gupta

Keyword(s):

Social Networks ◽

Social Media ◽

Social Network ◽

The Social ◽

The World ◽

Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

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