scholarly journals Social Network Characteristics and Smoking Index Among Smoking Cessation Outpatients in Kunming’s Grade-A Tertiary Hospitals in China: A Cross-Sectional Observational Study

2021 ◽  
Author(s):  
Rui Zeng ◽  
Li Ai ◽  
Yang Yuan ◽  
Yu Cao ◽  
Ke-Li Chen ◽  
...  
Keyword(s):  
Social Networks ◽  
Smoking Cessation ◽  
Social Network ◽  
Network Size ◽  
Network Member ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Network Characteristics ◽  
Tertiary Hospitals ◽  
Smoking Index

Abstract IntroductionThe success rate of smoking cessation outpatients remains modest. Previous studies have highlighted the importance of social networks for quitting smoking, yet there is a substantial lack of studies examining participants in outpatient smoking cessation programs, especially regarding their smoking index.AimWe aimed to identify the associations between the social network characteristics of smoking cessation outpatients and their smoking indexes. The association was analyzed with participants in Grade-A Tertiary Hospitals in Kunming, the capital of Yunnan province in China.MethodsA multicenter cross-sectional survey was conducted in Kunming in six randomly sampled Grade-A tertiary hospitals. Participants included 351 smoking cessation outpatients who provided data on cigarette smoking and social networks. Multivariate logistic regression was used to examine the association between social network characteristics and smoking index across outpatients. Strong associations were identified using adjusted odds ratios and a 95% confidence interval.ResultsLarge network size (AOR=1.79, 95%CI=0.99, 3.86), having children (AOR = 6.35, 95%CI = 2.26, 19.86), and at least one highly influential person in the network (AOR = 2.74, 95% CI =1.13, 7.01)were all associated with the risk of a high smoking index. However, having drinking friends (AOR = 0.28, 95% CI = 0.14, 0.56), non-smoking and non-drinking friends in the network (AOR = 0.44, 95% CI = 0.21, 0.88), and a network member who provided health advice (AOR = 0.41, 95% CI = 0.11, 1.35) were associated with a lower risk of a high smoking index.The results were sustained even after adjusting for demographic details.ConclusionsThe study findings suggest the importance of social network characteristics for smoking cessation physicians when formulating a personalized smoking cessation plan for outpatients.

scholarly journals Diabetes-Related Stigma and its Influence on Social Networks, Social Support, and HbA1c in Ghana

2021 ◽  
Vol 31 (1) ◽  
pp. 57-66
Author(s):  
Marian Botchway ◽  
Rachel E. Davis ◽  
Anwar T. Merchant ◽  
Lambert T. Appiah ◽  
Spencer Moore
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Network Size ◽  
Household Composition ◽  
Network Resources ◽  
Cross Sectional Survey ◽  
Diabetes Clinic ◽  
Cross Sectional ◽  
Related Stigma

Objective: We applied a social network approach to examine if three types of diabetes-related stigma (self-stigma, per­ceived stigma and enacted stigma) moder­ated associations between social network characteristics (network size, kin composi­tion, household composition, and network density), social support, and blood glucose among Ghanaians with type 2 diabetes mel­litus (T2DM).Methods: Data were obtained through a cross-sectional survey of 254 adults at a diabetes clinic in Ghana that assessed participants’ social networks, social support, and frequency of experiencing three types of diabetes-related stigma.Results: Self-stigma moderated associa­tions between kin composition and social support when controlling for network size (β=-.97, P=.004). Among study participants reporting low self-stigma, kin composition was positively associated with social support (β=1.29, P<.0001), but this association was not found among those reporting high self-stigma. Network size was positively associ­ated with social support among participants reporting both low and high self-stigma. None of the types of diabetes-related stigma moderated other associations between social networks, social support, and blood glucose.Conclusions: Individuals with T2DM who report high self-stigma may have lower social support, which can reduce their capacity for disease management. Addition­ally, larger social networks may be beneficial for individuals with T2DM in countries like Ghana, and interventions that expand network resources may facilitate diabe­tes control. Ethn Dis.2020; 31(1):57-66; doi:10.18865/ed.31.1.57

The Experience of Mobile Entrapment in Daily Life

2017 ◽  
Vol 29 (3) ◽  
pp. 148-158 ◽  
Author(s):  
Jeffrey Hall
Keyword(s):  
Social Network ◽  
Structural Equation ◽  
Text Message ◽  
Well Being ◽  
Network Size ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Social Network Size

Abstract. This multistudy investigation examines how entrapment, which is the guilt, anxiety, or stress to respond and be available to others via mobile devices, shapes and is shaped by patterns of mobile use. Using structural equation modeling on cross-sectional survey responses, Study 1 (N = 300) tested relationships among offline social network size, voice and text frequency, entrapment, and well-being. Offline social network size was associated with text message frequency, and both were indirectly associated with lower subjective well-being via entrapment. Study 2 used experience sampling to confirm associations among entrapment, texting, and well-being. Participants (N = 112) reported on face-to-face, phone, and text interactions five times a day for 5 consecutive days (n = 1,879). Multilevel modeling results indicated that beginning-of-week entrapment was associated with more interactions with acquaintances and strangers, and with reporting lower affective well-being and relatedness when interacting via text. Well-being reported during text interactions and number of interactions with acquaintances and strangers during the week both predicted changes in entrapment by the week’s end. Change in entrapment was associated with lower subjective well-being at the week’s end. Results suggest that entrapment is associated with using texting to maintain larger networks of social relationships, potentially stressing individuals’ capacity to maintain less close relationships via mobile communication.

Who Belongs to Me? Social Relationship and Personality Characteristics in the Transition to Young Adulthood

2014 ◽  
Vol 28 (6) ◽  
pp. 586-603 ◽  
Author(s):  
Jenny Wagner ◽  
Oliver Lüdtke ◽  
Brent W. Roberts ◽  
Ulrich Trautwein
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Young Adulthood ◽  
Social Relationship ◽  
Multilevel Models ◽  
Network Size ◽  
Big Five Personality ◽  
Personality Psychology ◽  
Emotional Closeness ◽  
Network Characteristics

Not much is known about how social network characteristics change in the transition out of school and what role Big Five personality plays in this context. The aim of this paper was twofold. First, we explored changes in social network and relationship characteristics across the transition out of secondary school. Second, we examined within–person and between–person effects of personality on these social network changes. Results based on a series of multilevel models to a longitudinal sample of 2287 young adults revealed four main findings. First, social networks increased in size, and this increase was mainly due to a larger number of nonkin. Stable social networks during the transition consisted mainly of family ties but were generally characterized by high closeness. Second, extraversion and openness consistently predicted network size, whereas agreeableness predicted network overlap. Third, increases in emotional closeness were found only for kin; closeness was generally lower for unstable relationships. Fourth, changes in emotional closeness were related to personality, particularly neuroticism, agreeableness, and conscientiousness for stable relationships; for unstable relationships, however, closeness was related to extraversion and openness. The article concludes by discussing the role of personality for social relationship development and the active moulding of social networks in young adulthood. Copyright © 2014 European Association of Personality Psychology

Abstract P277: Exercise is Associated With Social Network Characteristics Among South Asian Immigrants

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Mitali Thanawala ◽  
Juned Siddique ◽  
Andrew Cooper ◽  
John A Schneider ◽  
Swapna Dave ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Networks ◽  
Social Network ◽  
South Asian ◽  
South Asians ◽  
Asian Immigrants ◽  
Network Member ◽  
P Value ◽  
South Asian Immigrants ◽  
Network Characteristics

Objective: Low physical activity increases cardiovascular disease (CVD) risk. Social context, operationalized through social networks, has been shown to drive health behaviors. This study examined the association between personal social networks and moderate-to-vigorous leisure-time physical activity (LTPA) among South Asian (Indian, Pakistani, Bangladeshi, Sri Lankan, Nepalese) immigrants, a group with high CVD rates. Methods: This study used cross-sectional data from an ancillary study of social networks (2014-2017) in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study cohort. Participants, free from CVD at baseline and living in the San Francisco Bay-area, CA and Chicago, IL, were administered a detailed social networks questionnaire and physical activity questionnaire adapted from the Cross-Cultural Activity Participation Study. Participants reported on the exercise behaviors of each social network member and if they exercised with the network member. Network members who exercised with a participant were categorized as exercise partners. Moderate-vigorous LTPA was calculated as Metabolic Equivalent of Task (MET) minutes per week. Sex-stratified, linear regression models were used to examine associations between social network characteristics and MET-min/week of LTPA, independent of age, marital status, and network size. The effect of having an exercise partner in the network, above simply having network members who exercised, was tested using a partial F-test to compare nested models. Results: Among the 700 participants, this analysis only included the 89% who reported any LTPA (n=623, 43% female). These individuals reported a median of 1335 MET-min/week of LTPA (IQR=735-2212 MET-min/week) and had an average of 4 network members (SD +/- 1). The proportion of network members who exercised was 0.89, and the proportion of exercise partners was 0.28. Exercise partners were most commonly spouses (56%) and friends (20%). Among South Asian men who exercised, having a social network member who exercised instead of having a non-exercising network member, significantly increased LTPA by 310 MET-min/wk (95% CI=152-470). For men, having a social network member who was an exercise partner instead of a non-exercising network member, was associated with an additional 520 MET-min/wk of LTPA (95% CI= 344-696). The effect on LTPA of having an exercise partner in the network was significantly greater than the effect of simply having a network member who exercised (p-value < 0.001). Results were similar for women, but not statistically significant (p-value=0.05). Conclusions: Among South Asian immigrants, having an exercise partner in one’s personal social network was associated with significantly more LTPA. Social network support, in the form of an exercise partner, may be an effective component of interventions to promote LTPA in South Asians.

Association between social network characteristics and depressive symptoms in South Korean adults: The moderating roles of age diversity and age difference

2020 ◽  
Author(s):  
Ye Jin Jeon ◽  
Sun Wook Jung ◽  
Ji Eun Heo ◽  
Yoosik Youm ◽  
Hyeon Chang Kim ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Depressive Symptoms ◽  
Network Size ◽  
Community Dwelling ◽  
Age Difference ◽  
Inverse Association ◽  
Network Characteristics ◽  
South Korean ◽  
Age Diversity

Abstract Background: This study aimed to examine the association between size and intimacy of social networks and substantial depressive symptoms, and further, to assess the moderating roles of age diversity and age difference in these linkages, in the community-dwelling adult population in South Korea.Methods: A South Korean population of 2,363 in the Cardiovascular and Metabolic Disease Etiology Research Center cohort was utilized. Each participant’s social network characteristics were measured using the egocentric social network analysis tool. Substantial depressive symptoms were assessed using the Beck Depression Inventory-II (BDI-II). Multivariable logistic regression was used to compute odds ratios (ORs) for substantial depressive symptoms by different social network characteristics.Results: Mean perceived intimacy of social networks had an inverse association with substantial depressive symptoms; Overall, the size of social networks had a negative association with depressive symptoms. In women, age diversity and age difference had moderation effects on the association of network size and intimacy with substantial depressive symptoms. The association of network size and intimacy with substantial depressive symptoms was stronger than women’s average (OR=3.23; 95% CI=1.91-5.47) when social networks had a higher age diversity (OR=4.95; 2.32-10.51) and higher age differences (OR=5.38; 2.22-13.05).Limitations: Substantial Depressive symptoms were measured according to self-assessed levels of depressive symptoms during the previous two weeks, which do not necessarily indicate depressive disorder. Categorization of certain variables was made considering the distribution, but not with the actual critical known cut-off.Conclusions: We found that low social network size and intimacy were linearly associated with substantial depressive symptoms in women. Women whose networks are small-sized, less intimate, and with high age diversity and age difference, especially with older persons are more likely to have depressive symptoms in South Korean settings.Trial registration: KCT0001038, Clinical Research Information Service (CRIS)

scholarly journals Social network change after moving into permanent supportive housing: Who stays and who goes?

2020 ◽  
pp. 1-17
Author(s):  
Harmony Rhoades ◽  
Hsun-ta Hsu ◽  
Eric Rice ◽  
Taylor Harris ◽  
Wichada La Motte-Kerr ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Service Providers ◽  
Critical Time ◽  
Network Size ◽  
Supportive Housing ◽  
Network Member ◽  
Logistic Regression Models ◽  
Permanent Supportive Housing ◽  
Network Change

Abstract Social relationships are important among persons experiencing homelessness, but there is little research on changes in social networks among persons moving into permanent supportive housing (PSH). Using data collected as part of a longitudinal study of 405 adults (aged 39+) moving into PSH, this study describes network upheaval during this critical time of transition. Interviews conducted prior to and after three months of living in PSH assessed individual-level (demographics, homelessness history, health, and mental health) and social network characteristics, including network size and composition (demographics, relationship type, and social support). Interviewers utilized network member characteristics to assess whether network members were new or sustained between baseline and three months post-housing. Multilevel logistic regression models assessed characteristics of network members associated with being newly gained or persisting in networks three months after PSH move-in. Results show only one-third of social networks were retained during the transition to PSH, and veterans, African Americans, and other racial/ethnic minorities, and those living in scattered site housing, were more likely to experience network disruption. Relatives, romantic partners, and service providers were most likely to be retained after move-in. Some network change was moderated by tie strength, including the retention of street-met persons. Implications are discussed.

scholarly journals Associations of Quality, Quantity, and Structural Characteristics of Individual Social Network on Depressive Symptoms

2020 ◽  
Author(s):  
Ji Eun Heo ◽  
Sun Wook Jung ◽  
Yoosik Youm ◽  
Hyeon Chang Kim ◽  
Sun Jae Jung
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Depressive Symptoms ◽  
Network Size ◽  
Age Difference ◽  
Analysis Tool ◽  
Disease Etiology ◽  
Network Characteristics ◽  
Age Diversity ◽  
High Age

Abstract Background This study explores the association between the size and intimacy of an individual’s social network with depressive symptoms, considering age diversity and age difference in the general adult population in South Korea. Methods We utilized data from a population of 2,363 in the Cardiovascular and Metabolic Disease Etiology Research Center cohort. Each participant’s social network properties and social support status were measured using the egocentric social network analysis tool. Depressive symptoms were assessed using the Beck Depression Inventory-II. Multivariable logistic regression was used to compute odds ratios (ORs) for depression by different social network characteristics. Results Overall, network size and mean intimacy were both associated with depressive symptoms; however, the combination of the two showed different association patterns with depressive symptoms by gender. Compared to those with both a larger network size and higher average intimacy in the network, only women showed significantly increased ORs for depression with decreases in either the size or the intimacy of the network. This tendency was prominent in women whose social networks had high age diversity or members mainly older than themselves. Limitations Depressive symptoms were measured according to self-assessed levels of depressive symptoms during the previous two weeks, which do not necessarily indicate depressive disorder. Conclusion The social network characteristics of size and intimacy associated differently with depressive symptoms by gender. In women whose social networks had high age diversity, smaller-sized and less intimate networks increased the likelihood of depression.

Personal networks and mortality in later life: racial and ethnic differences

2020 ◽  
Author(s):  
Adam R Roth
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Race And Ethnicity ◽  
Social Life ◽  
Later Life ◽  
Network Size ◽  
Racial And Ethnic Differences ◽  
Network Characteristics ◽  
Logistic Regression Models ◽  
All Cause Mortality

ABSTRACT Background Social network characteristics are associated with health outcomes in later life, including mortality. Moreover, there are well-established mortality disparities across race and ethnicity. Although previous studies have documented these associations separately, limited research considers the two in tandem. The present study addressed how the associations between social network characteristics and mortality differ across race and ethnicity in later life. Methods Data were from the National Social Life, Health, and Aging Project. At baseline, 3005 respondents were interviewed with regards to their health and social networks. Five years later, 430 respondents had died. Logistic regression models were used to estimate the odds of all-cause mortality over the study period. Results Network size and kin composition were negatively associated with mortality, whereas density was positively associated with mortality. There was a stronger negative association between the kin composition and mortality for Hispanic respondents compared with white and black respondents. Conclusion The present study contributes to the large literature documenting the link between social networks and health by highlighting the importance of analyzing networks through a sociocultural lens.

Social networks and service use among representative cases of psychosis in South London

1997 ◽  
Vol 171 (1) ◽  
pp. 15-19 ◽  
Author(s):  
Thomas Becker ◽  
Graham Thornicroft ◽  
Morven Leese ◽  
Paul McCrone ◽  
Sonia Johnson ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Service Use ◽  
Network Size ◽  
Controlled Study ◽  
Network Characteristics ◽  
Social Network Size ◽  
The Social ◽  
One Year ◽  
Prospective Controlled Study

BackgroundLarge social networks in patients with severe mental illness have been reported to be associated with a low rate of hospitalisation. We aim to determine whether social network size is related to the likelihood of hospitalisation and the amount of service use.MethodAs part of a prospective controlled study, baseline interview data for a random sample of one-year prevalent cases with non-organic psychosis were analysed with respect to social network characteristics and service use during a six-month period.ResultsThe likelihood of hospitalisation decreased with an increase in network size, while the number of services used by patients grew as the social network size increased.ConclusionsWhile larger social networks may be associated with a lower likelihood of hospitalisation, they may also be related to wider use of non-hospital services.

scholarly journals Social relationships, living arrangements and loneliness

2021 ◽  
Author(s):  
W. Schmitz ◽  
S. Mauritz ◽  
M. Wagner
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Living Arrangements ◽  
Oldest Old ◽  
Well Being ◽  
Intimate Partner ◽  
Network Size ◽  
Cross Sectional ◽  
Social Network Size ◽  
The Social

Abstract Background Oldest-old people are expected to be particularly likely to experience loneliness due to the loss of their intimate partner or of same-aged social network members. It is assumed that individuals in different living arrangements maintain different kinds of social networks because they adjust their networks to their specific needs. However, not much is known about the variation in the social networks of the oldest-old depending on their living arrangements and how this variation is related to loneliness. This is the first study that seeks to fill this research gap by examining how the composition and the size of a social network varies among the oldest-old depending on their living arrangements with a partner (coresidential partnership, living apart together (LAT) partnership, no partnership), and how this variation contributes to explain loneliness among the oldest-old. Methods We used cross-sectional data from the representative survey NRW80+ (Quality of Life and Well-Being of the Very Old in North-Rhine Westphalia). The sample of analysis used in this study consists of 1860 respondents from the German state of North-Rhine Westphalia aged 80 years and older. Associations between social network characteristics and living arrangements were tested using χ2-tests and one-way ANOVA. Ordered logit models were used to explain loneliness. Results Respondents in a coresidential partnership maintained larger social networks than those in an LAT partnership and those with no intimate partner. Furthermore, the respondents with no partner maintained more diverse social networks. Compared to those in the other living arrangements, the respondents in an LAT partnership maintained the smallest and least diverse social networks. Being in a coresidential partnership and the social network size were found to be negatively associated with loneliness. Conclusion First, the results indicate that respondents who do not have a partner adjusted their social networks to meet their needs in the absence of this relationship. Second, we conclude that being in a coresidential partnership and having a large social network protects the oldest-old against loneliness.

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