In the last few decades as American society and urban life have changed dramatically, public health and urban sociological research have increasingly focused on the effect of residential location on individual well-being. In recent years, social capital has been viewed as an important pathway in understanding the associations between where one lives and health and social outcomes. Although there is not one, single definition of social capital, researchers within public health have often relied on three schools of thought labeled after Pierre Bourdieu, James Coleman, and Robert Putnam to define social capital and hypothesize its relationship with health and behaviors. However, for many years, public health researchers have often relied on Putnam's theory (1993, 1995, 2000) and a communitarian approach to defining social capital and its possible relationship to health and well-being. Many researchers and sociologists have criticized this over-reliance and overuse of Putnam's social capital constructs as they have been criticized for lacking depth and their inability to explain the causal pathways in which social capital and health operate. Additionally, the measures used to operationalize the most widely used Putnam social capital constructs often focus only on a few dimensions of his theory; generalized trust, shared norms and values, reciprocity, and civic engagement. These measures have been criticized for simultaneously being overly theoretically broad and limited in its measurement. In this research, I use a more recent paradigm of social capital theory that conceptualizes social capital as having several dimensions thereby enabling one to examine the possibility that different forms of social capital and cohesion have different impacts (both negative and positive) on health behaviors and well-being. This paper compares a Putnam-based social capital model as measured by the most commonly used variables based on his work against a broader, multi-dimensional model that measures social capital across several constructs and variables. I have evaluated the "expanded" multi-dimensional model and the smaller, Putnam-only model with a different dataset to examine the relationships between these dimensions of social capital and health behaviors and outcomes. Additionally, recent sociological research using this expanded approach has highlighted the important role of individual attachment to the neighborhood as an important mediator in the association between social capital and health outcomes. Using data from the Fragile Families and Child Wellbeing Study (FFCWS), a longitudinal birth cohort study of families in 20 cities with populations of 200,000 or more people, I investigated the role of social capital as measured across four dimensions, social cohesion (the Putnam-based Traditional Model), individual neighborhood attachment, and neighborhood socio-economic conditions on the likelihood of maternal smoking and alcohol use. Moreover, this multi-dimensional model was enhanced by the addition of another feature of social capital that was not extensively addressed in prior research, bridging social capital. Bridging social capital has been defined as relationships among individuals who are not alike in social identity or characteristics. In recent years, bridging social capital at times has been further refined to highlight the relationships within heterogeneous networks who do not share the same power structures and institutions, and economic spheres. This has been referred to as "linking" social capital. Additionally, sociologist Mario Small has extensively documented that importance of both weak ties (an aspect of "bridging" social capital) and organizational embeddedness in the relationship between social capital and health and well- being for residents in poor communities. This underrepresented dimension in the public health literature is addressed in this paper. In this research, I incorporated a measure of bridging social capital and organizational ties to highlight the possible role this form of social capital may play in understanding the association of social capital and health outcomes. This research extends the current literature by applying a recently developed model of social capital to the analysis of health outcomes using a different data set. The goal of this study was not only to explore smoking and alcohol use, neighborhood socioeconomic conditions, indicators of social capital (including social support, social leverage, informal social control, neighborhood organization participation, and bridging social capital), and the role of individual neighborhood attachment but also highlight the importance for public health researchers to use a multidimensional approach rather than rely on utilizing a few social capital constructs retrieved from Putnam's extensive published work. The multi-dimensional approach which broadens the lens in which researchers use to aid them in the understanding the association between social capital and health and well-being is more beneficial than a narrow focus that relies on a few social capital domains to examine this relationship. The association of these different dimensions was statistically tested through multiple logistic regression analyses which examined a hypothesized interaction effect between organizational embeddedness and social capital and its association with health outcomes and behaviors. It is hoped that this research will further advance the public health discourse regarding the association between health outcomes and social capital, measured across several dimensions and conceptualized through an access to resources and networks based lens.

The study of social relationships and health has been one of the main issues of sociology. A growing number of literatures have demonstrated the association between social relationships and health. The findings generally showed that people who were socially integrated, received social support, and participated in non-working social organizations tended to be physically and psychologically healthier than those who were not; however, less is known about the process and structure of social relationships in the sociological investigation of health. Studies were often limited in that they did not thoroughly investigate the determinants of social relationships in relation to health. In the present study, I suggest that social contexts will enlarge our understanding of the association between social relationships and health. I employ the term social contexts to refer to distinctive dimensions of social structures and institutions in which individuals are embedded. If social contexts are probable determinants of social relationships, social contexts appear to have an effect on health status as well as social relationships. Despite this proposition, few studies have examined the associations among social contexts, social relationships, and health in an integrated analytical framework. The main objective of this project is, thus, to examine the association among the distinctive layers of social contexts--family, workplace, and neighborhoods--, social relationships and health. Using the first and second wave of the Americans’ Changing Lives panel data, I test four main research questions. First, are social contexts associated with health outcomes? Second, are social contexts predictive of a variety of social relationships? Third, do social relationships account for the association between social contexts and health outcomes? Finally, do social contexts moderate the association between social relationships and health outcomes? Neighborhood contexts are associated with depression and self-rated health of the first wave net of controls. Neighborhood contexts are predictive of a variety of social relationships. Social relationships account for the associations between the percentage of households receiving public assistance, foreign-born residents, and female-headed households, and depression of the first wave. Some of the associations between social relationships and health outcomes are moderated by neighborhood contexts, and the moderating effects vary by the types of social relationships. Workplace contexts are generally associated with depression, but not largely associated with self-rated health. Workplace contexts are predictive of a variety of social relationships. Social relationships only moderately account for the effects of job decision latitude, physical demands, and psychological demands on depression of the second wave, and psychological demands on self-rated health of the first wave. The associations between social relationships and health outcomes are moderated by workplace contexts in some cases, and the moderating effects vary by the types of social relationships. Family contexts are generally associated with depression and self-rated health in both cross-sectional and longitudinal settings. Family contexts are predictive of a variety of social relationships. Social relationships mediate some of the associations between family context variables and health; the effect of family context variables on self-rated health of the second wave are explained by social relationships in models of having children, parental chronic stress, mother support, child support, and spouse support. Some of the associations between social relationships and health status are moderated by family contexts, and the moderating effects vary by the types of social relationships. / text

Since diffusion models of social network are widely used in studying epidemiology, in this thesis, we apply diffusion models to study the contact immunity generated by attenuated vaccines.Oral polio vaccine (OPV) is a typical attenuated vaccine for polio that can produce contact immunity and therefore help protect more individuals than vaccinees. / To better capture the utilization of OPV’s contact immunity, we model the community as a social network, and formulate the task of maximizing the contact immunity effect as an optimization problem on graphs, which is to find a sequence of vertices to be “vaccinated” to maximize the total number of vertices “infected” by the attenuated virus. Furthermore, as immune defiicient patients may suffer from the live attenuated virus in the vaccine, we develop models in consideration of this restriction, and study related problems. / We present polynomial-time algorithms for these problems on trees, and show the intractability of problems on general graphs. / 社交網絡的擴散模型被廣泛運用于對流行病學的研究，在本文中，我們使用擴散模型對減毒活疫苗產生的接觸性免疫進行研究。口服脊髓灰質炎疫苗（OPV）是一種典型的減毒活疫苗，它可以在人群中產生接觸性免疫，使得更多未接種疫苗的人獲得免疫力。 / 爲了更好的刻畫OPV 產生的接觸性免疫，我們將社區模型化為社交網絡，從而將接觸性免疫效應最大化的任務轉化爲圖優化問題，即通過發現頂點的一個「接種」序列來最大化被減活病毒「感染」的頂點數量。此外，因爲減毒疫苗中的活病毒會使患有免疫缺陷的病人患病，我們考慮在此因素限制下的模型，并研究相關的問題。 / 我們給出這些問題在樹上的多項式時間算法，并證明其在一般圖上的複雜性。 / Ma, Chenglong. / Thesis M.Phil. Chinese University of Hong Kong 2015. / Includes bibliographical references (leaves 40-47). / Abstracts also in Chinese. / Title from PDF title page (viewed on 12, September, 2016). / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only.

Background Over the past three decades, social relationships have been shown to have important effects upon health. However, many different definitions and aspects of social relationships have been considered in the various studies, making comparison of findings difficult. Furthermore, the effects of social relationships upon different health outcomes have rarely been investigated within the same cohort of older people. In addition, there is a paucity of information concerning the effects of social relationships upon health of older Australians. Aim This thesis aims to investigate the effects of the structural aspects of social relationships – that is, social networks – on health among older Australians. The three specific health outcomes considered in this thesis were disability, residential care use and death. The specific aims of the thesis were to: 1. Develop a measurement model of social networks. 2. Examine the effects of total and specific social networks upon disability. 3. Determine the effects of total and specific social networks upon use of residential care. 4. Investigate the effects of total and specific social networks upon survival. An additional aim was to determine if there were threshold effects of social networks on the three specific health outcomes. Methods The study drew on six waves of data from 1477 participants in the Australian Longitudinal Study of Ageing. A range of statistical techniques, including binary and multinomial logistic regression and survival analysis, were used in the analysis of the data. Propensity score adjustment was used to control for the effects of a broad range of covariates that encompassed sociodemographic, health, psychological and lifestyle characteristics of participants. Results A measurement model with social networks for children, relatives, friends and confidants was validated using confirmatory factor analysis. A variable that measured total social networks was also derived. Better social networks with relatives were protective against developing mobility disability over the nine year follow-up period (odds ratio (OR) 0.77; 95% confidence interval (95%CI) 0.62 – 0.96). A similar result was found for Nagi disability (OR 0.76; 95%CI 0.62 – 0.93). Other specific social networks did not have significant effects on either measure of disability. There were no significant effects of social networks on use of low-level residential care overall. There was a significant effect of social networks with confidants and total social networks, such that participants in the upper category of social networks with confidants appeared to be protected against use of high-level residential care (OR 0.53; 95%CI 0.35 – 0.81) compared to participants in the lower category of confidants social networks. Similarly, participants in the upper category for total social networks appeared to be protected against use of high-level residential care (OR 0.68; 95%CI 0.46 – 0.99). In terms of mortality, better social networks with confidants and with friends appeared to be protective against death during the decade following the Wave 1 interview. The hazard ratio (HR) for participants in the upper category for confidants was 0.74 (95%CI 0.63-0.88) compared to participants in the lower category. For friends networks, the analogous HR was 0.75 (95%CI 0.63-0.89). Better total social networks also appeared to be protective against death over the 10 years of follow-up (HR 0.83; 95%CI 0.70- 0.99). There were few significant effects of social networks with children on the three health outcomes considered. There was little evidence of threshold effects of the specific social networks on the health outcomes. Discussion There are important and differing effects of specific social networks on the three health outcomes of disability, residential care and mortality that were considered in this thesis. Policymakers may need to reconsider whether specific kinds of social relationships, beyond spouses and children, have been given adequate weight in current policy frameworks that address the health of older people. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1321011 / Thesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 2008

Humans’ social relationships determine to a large degree their trajectories in life. Despite strong evidence for the impact of interpersonal relations on wellbeing, the causal links between the two are not yet fully understood. This dissertation offers a new perspective on the mechanisms through which social ties influence negative (excessive drinking) and positive (participation in recreational activities) health behaviors. In three studies employing a unique combination of social network, fMRI, and experience-sampling methods, we propose that health decisions are the result of complex computations involving prior social experiences, perceived social norms, social comparison processes, and current feelings of connections. Each chapter of this dissertation discusses one of these three studies. Chapter 1 provides evidence that past social experiences shape valuations of new information by showing that pairs of students that drink often together tend to have more similar neural responses to novel alcohol cues in regions associated with affective self-generated thought. In addition, this Chapter suggests that researchers must consider the intricate interplay between individuals’ personal goals and their communities’ norms to understand the influence of social environments on neural representations. The degree to which students aligned their neural response patterns to alcohol with those of their peers depended on interactions between their individual motives for drinking and their group’s approval of this behavior. Chapter 2 presents novel findings that people spontaneously represent social information from multiple networks (e.g., popularity and leadership) at a neural level in social cognition (right TPJ, dmPFC) and valuation (vmPFC) regions. Importantly, individuals who display higher neural sensitivity to status differences are also more likely to align their drinking behavior with their group norms in daily life. Together, our results provide insight into the neural mechanisms through which social comparison processes shape conformity and suggest social cognition and valuation regions as important hubs orchestrating this process. While Chapter 1 and Chapter 2 focus on the influence of social ties on drinking, Chapter 3 discusses the protective role of close relations during difficult times. We provide evidence that close college friendships, even if afar, helped young adults cope with the stress of the COVID-19 pandemic. Follow-up between- and within-individual analyses reveal that this buffering effect could be explained by differences in the quality of online interactions (e.g., via phone, text messaging), instances of personal disclosure, and participation in enjoyable activities. All in all, this dissertation advances our understanding of why measures of social wellbeing are the best predictor of health trajectories in life, by highlighting the important role social ties play in shaping valuation of new information, guiding behavior to meet social goals, and protecting against stress by allowing people to engage in recreational activities.

Introduction. HIV positive men who have sex with men (HIVMSM), facing severe stigma and many stressors, have high prevalence of mental health problems, such as depression. However, there is a lack of mental health promotion and treatment services targeting HIVMSM in China. The Three Good Things (TGT) exercise is one of the commonly used positive psychology interventions; its benefits in reducing depression have been scientifically proven in many disease groups. Yet, TGT has not been applied among HIVMSM. In addition, social support has shown to be protective of depression. The emergence of electronic social media allows for integration of social networking and TGT exercise among HIVMSM. / Objectives. This study aimed to evaluate the efficacy of a one-month online intervention combining TGT with social networking (TGT-SN) versus a control of dissemination of information in reducing depressive symptoms among HIVMSM in Chengdu, China. / Methods. A randomized controlled trial design was applied. A total of 205 HIVMSM were recruited and randomly assigned to the TGT-SN (N=100) or control group (N=105) by four well-trained peer fieldworkers. Self-administered surveys were given to all participants at baseline, at the end of the 1-month intervention (T1), and at the 3-month (T2) and 6-month (T3) post-intervention follow-ups. The intervention was delivered via “QQ”, the most widely used Chinese social networking service. Participants in TGT-SN group were divided into four “QQ” groups, each the size of 20-30 persons. Participants in TGT-SN were asked to post three things they experienced that they feel grateful about daily onto the QQ platform and share them with members of their group. They were also asked to read others’ messages and give positive and encouraging feedbacks to those messages. Members of the control group received information about mental health promotion from research assistants via QQ once a week during the one-month intervention period. The primary mental health outcome was probable case of mild to severe depression measured by Center for Epidemiologic Studies Depression Scale (CES-D). Secondary psychological outcomes include depressive symptoms, anxiety, positive and negative affect, life satisfaction, subjective happiness, gratitude level, and perceived social support. Generalized Estimating Equation models were fit. Structural equation modeling was applied for mediation analysis. / Results. Among all participants, the prevalence of probable mild, moderate, and severe depression were, respectively, 14.6%, 9.3%, and 35.6% at baseline. All baseline background characteristics and outcome measures were balanced (statistically non-significant) between the two groups. Based on data obtained at T1, T2 and T3 that were analyzed by GEE model, there was a significant main effect of TGT-SN on reducing depression (B=-2.35, 95% CI=-4.53, -0.16, p=0.035), indicating significantly lower depression score in the intervention group as compared with that of control group. Nonetheless, such significant effect became non-significant (B=-1.67, 95% CI=-3.79, 0.46, p=0.124) when controlled for baseline depression score. Significant differences were also found between the TGT-SN and the control group in anxiety symptoms (B=-1.14, 95% CI=-2.06, -0.22, p=0.016) and negative affect (B=-2.08, 95% CI=-3.62, -0.55, p=0.008). The effect of TGT-SN on reducing depression was most evident at T3. Structural equation modeling indicated that gratitude and negative affect fully mediated the effect of TGT-SN in reduction of depression and anxiety (mediation effect=-0.17, 95% CI=-0.30, -0.04, p<0.05) at T3. / Conclusions. TGT-SN is a feasible, acceptable, sustainable, and scalable intervention to improve mental health among HIVMSM. It is warranted to increase awareness and policy support for mental health services for people living with HIV (PLWH). Mental health services should be integrated into the HIV/AIDS care system as a key component. Future translational studies are needed to further investigate the efficacy and effectiveness of the intervention in other groups of PLWH and in other cultures and countries. / 研究背景：艾滋病在男男性接觸（men who have sex with men, MSM）人群中的感染率正在以前所未有的速度在我國蔓延。艾滋病陽性的男男性接觸（HIV positive men who have sex with men, HIVMSM）人群面臨極大的壓力，心理疾病（例如抑鬱症）的患病率很高。但是，目前我國對HIVMSM人群的心理健康服務比較缺乏。“三件好事情”是最被廣泛使用的能有效降低抑鬱症的積極心理學干預。這項練習要求參與者每天寫下三件令他們感到高興或者感激的事情。“三件好事情”這兩練習還沒有在HIVMSM 人群中應用。此外，社會支持對抑鬱症有保護作用。電子社交網絡是一種潛在的有效的平台，可以將調查對象（HIVMSM）的“好事情”相互傳遞，加強“三件好事情”的效果。 / 研究目的：本研究的目的是在中國成都市使用隨機對照研究評估積極心理學結合社會網絡干預對減少HIVMSM人群抑鬱症的效果。 / 研究方法：本研究採用隨機對照試驗。四名同伴調查員共招募205位HIVMSM，其中100人被隨機分配到“三件好事情結合電子社交網絡組（TGT-SN）”，105人被分配到對照組。所有參與本研究的調查對象將在隨機分組之前完成基線調查（T0），並在一個月的干預結束時（T1）、干預結束后三個月（T2）、十二個月（T3）時完成隨訪調查。 / TGT-SN干預通過騰訊QQ實施。騰訊QQ是在中國最被普遍使用的社交網絡。TGT-SN組的調查對象將被分配到4個QQ組，每組20-30人。TGT-SN干預要求調查對象在一個月的干預期，每天需要完成以下三個任務：i）每天回想當天發生的三件或以上令自己開心、感激的事情，并將這三件好事情發佈到各自的QQ群留言板；ii）每天閱讀本QQ群其他組員發佈的三件好事情；iii）每天對組員發佈的三件好事情進行正面的積極的評論。被隨機分配到對照組的調查對象在一個月的干預期內，每週收到一條有關心理健康促進的信息。 / 本研究的主要結果為抑鬱症狀，採用美國國立衛生研究院流行病學研究中心抑鬱量表。次級結果包括焦慮症狀、正性和負性情緒、生活滿意度、主觀幸福感、感恩心理、以及社會支持。分析採用廣義估計方程模型（GEE）。中介效應分析採用結構方程模型。 / 研究結果：所有調查對象中，59.5%有輕度到重度抑鬱症（CESD≥16）。TGT-SN和對照組基線所有的背景變量及結果變量均無顯著性差異。基於對T1、T2和T3數據的GEE模型分析，相比于對照組，TGT-SN對降低抑鬱症有顯著主效應（B=-2.35, 95% CI=-4.53, -0.16; p=0.035）。但是此顯著主效應在控制基線抑鬱症狀后變為不顯著（B=-1.67, 95% CI=-3.79, 0.46, p=0.124）。相比于對照組，TGT-SN對降低焦慮症狀（B=-1.29, 95% CI=-2.22, -0.36; p=0.007）和負性情緒（B=-2.24, 95% CI=-3.73, -0.74; p=0.003）也有顯著效果。TGT-SN對降低抑鬱症的效果在T3最為顯著。結構方程模型表明，負性情緒和感恩心理對TGT-SN干預降低T3時抑鬱症和焦慮症的效果中發揮完全中介效應（中介效應=-0.17, 95%置信區間=-0.30, -0.04; p<0.05）。 / 研究結論：TGT-SN能有效減少HIVMSM人群的心理健康問題（例如抑鬱症和焦慮症），並且是可行的和被HIVMSM所接受的干預措施。TGT-SN練習的實施成本較低並且不需要心理學專家的參與，因此可以在資源有限的國家和地區（例如中國）推廣實施。未來需要更多的研究來評估TGT-SN干預在其他艾滋病病毒感染者人群中以及其它國家的效力和效果。" / Li, Jinghua. / Thesis Ph.D. Chinese University of Hong Kong 2015. / Includes bibliographical references (leaves 136-149). / Abstracts also in Chinese; some appendixes in Chinese. / Title from PDF title page (viewed on 06, October, 2016). / Li, Jinghua. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only.

How we share our good news with people can have a significant effect on our lives. Sharing good news on social media sites involves a process called capitalization. Capitalization has been shown to increase well-being when others provide appropriate responses in face-to-face interactions. To see if this effect on well-being extends to our online presence, this study utilized the social media site Facebook to observe if capitalization predicted well-being and relationship satisfaction. This study used data collected from 137 participants recruited from an undergraduate participant pool and from Amazon Mechanical Turk. Consistent with hypotheses, participants who reported receiving active and constructive responses after sharing a positive event on Facebook also reported greater personal well-being and relationship satisfaction. Although future experimental research is needed to establish causality, the current results suggest that the ways in which friends respond to social media posts are associated with personal and relationship well-being. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection