Social Network Feedback and Drinking Outcomes among Emerging Adult Risky Drinkers Living in Urban Communities

2021 ◽  
pp. 1-8
Author(s):  
JeeWon Cheong ◽  
Katie Lindstrom ◽  
Susan D. Chandler ◽  
Joseph P. Bacon ◽  
Jalie A. Tucker
2021 ◽  
Vol 6 (12) ◽  
pp. 175-185
Author(s):  
Miriam Devaprasana Samuel ◽  
Rita Abdul Rahman Ramakrishna

Research in Malaysian sociolinguistics has seen much development pertaining to its concerns over language in its multilingual, multiracial, post-colonial community. The majority of existing literature however tends to lean towards traditional ideologies to explicate the language situation and linguistic patterns taking place within society. As influential as they are, there is a growing need for research to extend and move beyond traditional parameters so as to better explicate the roles and values of language in the increasingly mobile, transnational, diverse communities found in the city. This is certainly true in the historical city of George Town, Penang where exists an eclectic mix of heritage and urbanity – a contest for fluid and fixed notions of identity, culture, traditions, and language. One approach which has been used to contribute towards the study of linguistic patterns is Social Network Analysis. A notable application of analysis network structures is attributed to Milroy (1987), where the following has emerged: close-knit and dense networks are resistant to outside influences whereas loose-knit, weaker network links are embracing of change. This paper therefore aims to explain Social Network Analysis as a framework and method, how it has been applied in previous studies, and the potential it holds to analyse language in contemporary, urban communities as is found in cities like George Town, Penang.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 505-505
Author(s):  
Paige Downer ◽  
Rebeca Wong

Abstract Social characteristics such as strong community and family ties have been associated with positive mental health outcomes in older adults. However, this evidence is based primarily on non-Hispanic White populations and may vary according to living in a rural versus urban community. We hypothesize that the positive impact of available social networks, perceived support, and social participation on older Mexican adults’ likelihood for high depressive symptoms (i.e., depression) will be greater for those living in rural (community < 2,500 people) than urban communities. Data came from the 2012 Wave of the Mexican Health and Aging Study. Depressive symptoms were measured using a 9-item version of the Center for Epidemiologic Studies Depression Scale. Social participation is the respondent’s self-reported participation in hobbies, religious activities, volunteering, and visits with neighbors. Available social network is measured as having relatives and/or good friends living in the neighborhood. Perceived support is the respondent’s perception of friends/family’s willingness to help with finances and personal care. The final sample of 6,266 respondents was majority (62.4%) female, mean age of 69 years, 17.8% lived in a rural community, and 34.5% with depression. Logistic regression models stratified by rural/urban indicated that available social network and perceived social support were not associated with depression in rural or urban communities. In general, the social participation activities were associated with significantly lower odds of depression for older adults living in urban but not rural communities. This research highlights the influence of older adults’ community on their social relationships and mental health.


2012 ◽  
Author(s):  
R. L. Stout ◽  
J. F. Kelly ◽  
M. Magill ◽  
M. E. Pagano

2021 ◽  
Author(s):  
Andor Nagy

AbstractDuring their university studies the Saxons of Brasov, who used to be one of the most influential urban communities of Transylvanian Saxons, had relationships with friends and colleagues. I want to particularly highlight the relationships documented by the occasional prints between 1650 and 1750. I want to find the answer to what social circles are mentioned in the occasional prints related to the Saxon students of Brasov during their peregrination. Therefore I will henceforth mostly make attempts to reconstruct their friendly and collegial relationships.Occasional texts transition between correspondences and few-word memorial notes (especially regarding the number of writers and the length of writings). Thus a comprehensive storing and analysing of the occasional works restricted to a certain group can provide an opportunity to get informed about family, friendly and collegial relationships. Such writings may also contain valuable implications for the research of relation history. The relations that can be seen through these might add a lot in terms of success, especially if it is possible to continue the relation historical exploratory work connected to certain people. Furthermore, these data can be compared with their positions held during a later period of their lives, as well as with their family relations and high reputation within their community.


AWARI ◽  
2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Vicente Espinoza

The article presents an interview with Dr. Mario Luis Small about his works and contributions to social network analysis. The conversation revolves around four topics: first, the linkages between his research on urban communities and the current validity of the social capital approach. The second section discusses multiplexity in personal social networks as well as the shortcomings of a deductive approach to this subject. Third, the interview considers the effects of the contexts of interaction for the analysis of discussion networks. The final part of the interview provides recommendations regarding the interpretation of the information obtained from a name generator


2019 ◽  
Vol 43 (4) ◽  
pp. 758-766 ◽  
Author(s):  
Kimberly A. Mallett ◽  
Rob Turrisi ◽  
Racheal Reavy ◽  
Michael Russell ◽  
Michael J. Cleveland ◽  
...  

2015 ◽  
Vol 35 ◽  
pp. 28-36 ◽  
Author(s):  
Crystal Gibson ◽  
Lauren Perley ◽  
Jonathan Bailey ◽  
Russell Barbour ◽  
Trace Kershaw

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