scholarly journals Association of Social Network Characteristics With Cardiovascular Health and Coronary Artery Calcium in South Asian Adults in the United States: The MASALA Cohort Study

2021 ◽  
Author(s):  
Nilay S. Shah ◽  
Mark D. Huffman ◽  
John A. Schneider ◽  
Sadiya S. Khan ◽  
Juned Siddique ◽  
...  
Keyword(s):  
Social Network ◽  
Coronary Artery ◽  
South Asian ◽  
Asian American ◽  
Coronary Artery Calcium ◽  
Cardiovascular Health ◽  
Network Size ◽  
South Asian American ◽  
Network Characteristics ◽  
Social Network Size

Background South Asian adults have worse cardiovascular health (CVH) and more coronary artery calcium compared with other race/ethnicities. The impact of the social environment has not been examined as a potential driver of CVH or coronary artery calcium in this population. We evaluated associations of social network characteristics with CVH and coronary artery calcium in South Asian American adults to inform strategies for CVH promotion in this at‐risk population. Methods and Results Using data from the MASALA (Mediators of Atherosclerosis in South Asians Living in America) cohort study, multinomial and multivariable logistic regression were used to evaluate associations of participant social network size and density, proportion of network who are kin or South Asian ethnicity and reported health of participant's identified social network members (“alters”), with participant CVH and presence of coronary artery calcium. The 699 MASALA participants included were mean age 59.2 (SD, 9.2) years and 42.9% women. After adjustment, a 1‐person larger social network size was associated with 13% higher odds of ideal CVH (odds ratio [OR], 1.13; 95% CI, 1.01–1.27). Reporting an alter with high blood pressure was associated with lower odds of ideal CVH (OR, 0.51; 95% CI, 0.29–0.88), and reporting an alter with high cholesterol was associated with lower odds of ideal CVH (OR, 0.54; 95% CI, 0.30–0.94). Conclusions Social network characteristics are associated with CVH in South Asian American adults. Engaging social networks may help promote CVH in this population.

scholarly journals Social Networks and Loneliness During the COVID-19 Pandemic

2021 ◽  
Vol 7 ◽  
pp. 237802312098525
Author(s):  
Balazs Kovacs ◽  
Nicholas Caplan ◽  
Samuel Grob ◽  
Marissa King
Keyword(s):  
Social Network ◽  
Social Isolation ◽  
Close Relationships ◽  
Network Size ◽  
Global Network ◽  
Network Data ◽  
Network Characteristics ◽  
Face To Face ◽  
Social Network Data ◽  
Social Network Size

We utilize longitudinal social network data collected pre–COVID-19 in June 2019 and compare them with data collected in the midst of COVID in June 2020. We find significant decreases in network density and global network size following a period of profound social isolation. While there is an overall increase in loneliness during this era, certain social network characteristics of individuals are associated with smaller increases in loneliness. Specifically, we find that people with fewer than five “very close” relationships report increases in loneliness. We further find that face-to-face interactions, as well as the duration and frequency of interactions with very close ties, are associated with smaller increases in loneliness during the pandemic. We also report on factors that do not moderate the effect of social isolation on perceived loneliness, such as gender, age, or overall social network size.

Abstract 07: Association of Social Network Characteristics With Cardiovascular Health and Coronary Artery Calcium in South Asians: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Nilay S Shah ◽  
Mark D Huffman ◽  
Sadiya S Khan ◽  
John A Schneider ◽  
Juned Siddique ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Disease ◽  
Social Network ◽  
Coronary Artery ◽  
High Risk ◽  
Coronary Artery Calcium ◽  
Cardiovascular Health ◽  
South Asians ◽  
High Risk Population ◽  
Lower Odds

Introduction: South Asian Americans (SAs) have disproportionately high burden of poor cardiovascular health (CVH) and CVD, which may be influenced by people within their social network (SN). We examined the association of SN characteristics and SN member (“alter”) health with CVH and coronary artery calcium (CAC) in SAs to identify targets for CVD prevention in this high-risk community. Hypothesis: Smaller SN size and worse alter health is associated with poor CVH and CAC in SAs. Methods: In 699 SAs in the MASALA Study, SN characteristics (size, density, proportion of kin or SA ethnicity), alter health status (self-report of an alter with high blood pressure [HTN], hyperlipidemia [HL], heart disease, diabetes, or stroke), CVH score (0-14, based on poor, intermediate, or ideal blood pressure, cholesterol, glucose, physical activity, diet, weight, and smoking), and CAC data were collected between 2016-2018. Multiple logistic regression evaluated the association of SN characteristics or alter health with prevalent CVH and CAC. Results: Participants were mean age 59±9 years and 43% women. Mean CVH score was 8.9±1.9, median CAC score 8 (range 0 - 4217). SNs were mean 6±3 people, density 79±26%, 72±28% kin, 88±23% SA ethnicity; 48% had an alter with HTN, 42% with HL, 18% with heart disease, 40% with diabetes, and 2% with stroke. A 1-person larger SN size was associated with a 19% higher odds of ideal vs. poor CVH in men (p=0.02), and an 11% lower odds of CAC in women (p=0.05, Table). In men, having at least 1 alter with HTN or HL was associated with a 58% or 54% lower odds of ideal vs. poor CVH (p=0.03, p=0.04), and having at least 1 alter with HL was associated with a 78% higher odds of CAC (p=0.05). No associations were seen between other SN characteristics, nor alters with other CVD risk factors, and CVH or CAC. Conclusions: In SAs, larger SN size was associated with better CVH. Having a SN member with HTN or HL may be associated with poorer CVH and CAC. Interventions to increase SN size or target SN member CVH may promote CVH in this high-risk population.

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.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

scholarly journals Relationships between medical students’ co-regulatory network characteristics and self-regulated learning: a social network study

2021 ◽  
Author(s):  
Derk Bransen ◽  
Marjan J. B. Govaerts ◽  
Dominique M. A. Sluijsmans ◽  
Jeroen Donkers ◽  
Piet G. C. Van den Bossche ◽  
...  
Keyword(s):  
Social Network ◽  
Medical Students ◽  
Regulatory Network ◽  
Regulatory Networks ◽  
Learning Opportunities ◽  
Network Size ◽  
Tie Strength ◽  
Network Characteristics ◽  
Self Regulated Learning ◽  
Regulated Learning

Abstract Introduction Recent conceptualizations of self-regulated learning acknowledge the importance of co-regulation, i.e., students’ interactions with others in their networks to support self-regulation. Using a social network approach, the aim of this study is to explore relationships between characteristics of medical students’ co-regulatory networks, perceived learning opportunities, and self-regulated learning. Methods The authors surveyed 403 undergraduate medical students during their clinical clerkships (response rate 65.5%). Using multiple regression analysis, structural equation modelling techniques, and analysis of variance, the authors explored relationships between co-regulatory network characteristics (network size, network diversity, and interaction frequency), students’ perceptions of learning opportunities in the workplace setting, and self-reported self-regulated learning. Results Across all clerkships, data showed positive relationships between tie strength and self-regulated learning (β = 0.095, p < 0.05) and between network size and tie strength (β = 0.530, p < 0.001), and a negative relationship between network diversity and tie strength (β = −0.474, p < 0.001). Students’ perceptions of learning opportunities showed positive relationships with both self-regulated learning (β = 0.295, p < 0.001) and co-regulatory network size (β = 0.134, p < 0.01). Characteristics of clerkship contexts influenced both co-regulatory network characteristics (size and tie strength) and relationships between network characteristics, self-regulated learning, and students’ perceptions of learning opportunities. Discussion The present study reinforces the importance of co-regulatory networks for medical students’ self-regulated learning during clinical clerkships. Findings imply that supporting development of strong networks aimed at frequent co-regulatory interactions may enhance medical students’ self-regulated learning in challenging clinical learning environments. Social network approaches offer promising ways of further understanding and conceptualising self- and co-regulated learning in clinical workplaces.

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