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HIV risk behaviour patterns, predictors, and sexually transmitted disease prevalence in the social networks of young men who have sex with men in St Petersburg, Russia.

HIV seroconversions and sexually transmitted diseases (STDs) are often clustered in social networks within community populations. The present study was carried out among men who have sex with men in Russia, where a major HIV epidemic is unfolding, and where social networks have played a historically important role. In all, 38 social networks were recruited into the study, and members of all networks (n = 187) completed risk behaviour assessments and were tested for STDs. About 17% of participants had STDs, and 10% of men had syphilis. Over 64% of men had recent unprotected anal intercourse (UAI), including 51% who did so with main partners, 30% who did so with casual partners, and 32% who had UAI with multiple male partners. The strongest predictor of all risk behaviour indicators and STDs was the social network, to which an individual belonged, supplemented by peer norm perceptions and intentions to practise safer sex. There was a high level of correspondence in behaviour between the social leader of a network and its other members. Social networks should be directly targeted in HIV prevention efforts.

Adult↗

Variation in the impact of social network characteristics on physical functioning in elderly persons: MacArthur Studies of Successful Aging.

OBJECTIVES: Social support and social networks have been shown to exert significant effects on health and functioning among elderly persons. Although theorists have speculated that the strength of these effects may differ as a function of sociodemographic characteristics and prior health status, few studies have directly tested the moderating effects of these variables. METHODS: Longitudinal data from the MacArthur Study of Successful Aging were used to examine the effects of structural and functional social support on changes in physical functioning over a 7-year period, measured by the Nagi scale, in a sample of initially high-functioning men and women aged 70 to 79 years. Multiple regression analyses were used to test the main effects of social support and social network variables, as well as their interactions with gender, income, and baseline physical performance. RESULTS: After controlling for potential confounding effects, respondents with more social ties showed less functional decline. The beneficial effects of social ties were stronger for respondents who were male or had lower levels of baseline physical performance. DISCUSSION: The effects of social support and social networks may vary according to the individual's gender and baseline physical capabilities. Studies of functional decline among elderly persons should not ignore this population variation in the effects of social networks.

Activities of Daily Living↗

Links between social network and quality of life: an epidemiologically representative study of psychotic patients in south London.

Quality of life has been found to be associated with social networks in patients with psychiatric disorders. We aimed to determine whether quality of life was related to social network size in group of severely mentally ill subjects living in the community. In a population-based, prospective controlled study of two sector mental health teams in South London, a random sample of representative 1-year prevalent cases of non-organic psychosis was identified. Patients were interviewed at baseline, and associations between quality of life and social network size were analyzed cross-sectionally. For average quality of life there was increase up to a certain level of social network size (about 20 social contacts). For the quality of life subscore on social relations there appeared to be an optimal middle level of network size (10-12), with lower subscores for smaller and larger networks. Multivariate analysis confirmed the associations between quality of life and social network size. In analyses of network subgroups the importance of confiding contacts was underlined.

Adolescent↗

Social networks and mortality based on the Komo-Ise cohort study in Japan.

BACKGROUND: No prospective studies have examined the association between social networks and all-cause and cause-specific mortality among middle-aged Japanese. The study of varied populations may contribute to clarifying the robustness of the observed effects of social networks and extend their generalizability. METHODS: To clarify the association between social networks and mortality among middle-aged and elderly Japanese, a community-based prospective study, the Komo-Ise Study, was conducted in two areas of Gunma Prefecture, Japan. A total of 11 565 subjects aged 40-69 years at baseline in 1993 completed a self-administered questionnaire. During the 7-year follow-up period, 335 men and 155 women died and the relative risk (RR) of each social network item was estimated by the Cox proportional hazard model. RESULTS: Single women had significantly increased risks of all-cause (multivariate RR = 2.2), and all circulatory system disease (age-area adjusted RR = 2.6) mortality. Men who did not participate in hobbies, club activities, or community groups had significantly higher multivariate RR for all-cause (RR = 1.5), all circulatory system disease (RR = 1.6) and non-cancer and non-circulatory system disease (RR = 2.3) mortality. Urban women who rarely or never met close relatives had significantly elevated risks of all-cause (RR = 2.4), all cancer (RR = 2.6), and non-cancer and non-circulatory system disease (RR = 2.7) mortality after adjustment for established risk factors. CONCLUSIONS: This study provides evidence that social networks are an important predictor of mortality risk for middle-aged and elderly Japanese men and women. Lack of participation, for men, and being single and lack of meeting close relatives, for women, were independent risk factors for mortality.

Adult↗

Molecular epidemiology of hepatitis C virus in a social network of injection drug users.

BACKGROUND: We aimed to measure the overlap between the social networks of injection drug users (IDUs) and the patterns of related hepatitis C virus (HCV) infections among IDUs. METHODS: A cohort of 199 IDUs (138 of whom were HCV RNA positive) was recruited from a local drug scene in Melbourne, Australia, and was studied using social network analysis and molecular phylogenetic analysis of 2 regions of the HCV genome. RESULTS: Eighteen clusters of related infections involving 51 IDUs (37.0% of HCV RNA-positive IDUs) were detected; these clusters could be separated into 66 discrete pairs. Twelve (18.2%) of the 66 IDU pairs with related infections reported having previously injected drugs together; conversely, only 12 (3.8%) of the 313 pairs of HCV RNA-positive IDUs who were injection partners had strong molecular evidence of related infections. The social and genetic distances that separated IDUs with identical genotypes were weakly associated. Significant clusters of phylogenetically related sequences identified from core region analysis persisted in the analysis of the nonstructural 5a protein region. Genotyping and sequence analysis revealed 2 mixed-genotype infections. CONCLUSIONS: Static social network methods are likely to gather information about a minority of patterns of HCV transmission, because of the difficulty of determining historical infection pathways in an established social network of IDUs. Nevertheless, molecular epidemiological methods identified clusters of IDUs with related viruses and provided information about mixed-genotype infection status.

Australia↗

The effect of social network on burden and pessimism in relatives of patients with schizophrenia.

The authors explored the social network of caregivers of patients with schizophrenia in relation to relatives' sociodemographic characteristics, patients' clinical variables, family burden, and pessimism about the consequences of the disease. They evaluated 709 key relatives of patients with schizophrenia concerning the above-mentioned variables by means of well-validated questionnaires. A more supportive social network was found in relatives who reported lower levels of burden and pessimism about schizophrenia. The effect of social network on relatives' burden and opinions about schizophrenia was significantly different in relation to relatives' gender. Strengthening the relatives' social network may represent a useful strategy to alleviate their burden and pessimism about schizophrenia.

Adolescent↗

Transitions to injecting drug use among noninjecting heroin users: social network influence and individual susceptibility.

OBJECTIVES: To determine the incidence/predictors of transitions to injecting among noninjecting heroin users (NIUs). METHODS: Street-recruited NIUs in New York City, March/1996-March/2003, were interviewed for a prospective cohort study about social network influence (communication promoting injecting; exposure to injectors) and individual susceptibility. A transition to injecting was the first drug injection following baseline. Hazards ratios (HRs) (P < 0.05) were estimated by Cox proportional hazards regression, stratified by baseline injecting history. RESULTS: Of 369 (64% of 579) followed, former-injectors were more likely to transition to injecting (33% or 53/160 vs. 12% or 25/209; 16.0/100 person-years-at-risk [pyar] vs. 4.6/100 pyar; HR = 3.25). Independent predictors among never-injectors included using > or =2 bags of heroin daily (HR = 7.0); social network influence (communication) and homelessness (HR = 6.3); shorter-term heroin use (HR = 5.3); social network influence (exposure) and physically abused (HR = 4.7); friends approve/condone drug injecting (HR = 3.5); lower perceived social distance from injectors (HR = 2.9); and younger age at first heroin use (HR = 1.2). Independent predictors among former-injectors were social network influence (communication) and lower perceived social distance from injectors (HR = 3.4); white race/ethnicity (HR = 2.0); not very afraid of needles (HR = 1.8); and younger age (HR = 1.1). CONCLUSIONS: The risk of initiating injecting was lower than the risk of resuming injecting. Social network influence facilitates transitioning to injecting among those susceptible. Interventions to prevent injecting should address both social network influence and individual susceptibility.

Adult↗

Social networks as predictors of ischemic heart disease, cancer, stroke and hypertension: incidence, survival and mortality.

Three social network measures were obtained from a randomly sampled cohort of 2603 HMO members in 1970-71. Mortality and first incidence of ischemic heart disease, cancer, stroke, and hypertension were assessed over the next 15 years. Outcome data were adjusted for age, sex, smoking, SES, and baseline health status. Persons with histories of a given morbidity at or prior to baseline were excluded from the analyses of that morbidity. Social network measures, particularly network scope (a measure of the number of different domains in which a person has social contacts), were powerful predictors of 15-year mortality hazard, but weak predictors of incident disease. Only network scope predicted IHD incidence, and none of the other morbidities was predicted by the social network measures. However, social network measures were strong predictors of both cause-specific and all-cause mortality among persons who had incident cases of IHD, cancer, and stroke. These data suggest that social networks may be more effective in supporting recovery after illness has occurred than in preventing the incidence of new disease.

Adult↗

Impact of social network on cardiovascular mortality in middle aged Danish men.

STUDY OBJECTIVE: To estimate quantitatively (the aetiological fraction) the impact of poor social network on premature death from cardiovascular disease in middle aged, white men. DESIGN: The causality of the relationship has already been discussed in a large review, and it is assumed to be well documented. The numerical estimation of the impact was based on a review of all published cohort studies on the relationship between social network and mortality in white, middle aged men. RESULTS: The studies reviewed are all of high epidemiological quality and present a consistent and stable dose-response pattern. The aetiological fraction was estimated to be 30%, with a plausible range of 20-40%. CONCLUSIONS: Social network was an important, independent, risk factor for cardiovascular disease in white, middle aged men. It had a strong impact on mortality, comparable to that of traditional risk factors. Social network should have a more central role in future epidemiological research into cardiovascular disease. The factors that result in a strong social network should be identified and strategies applicable in preventive work should be developed.

Cardiovascular Diseases↗

Social-network considerations in the alcohol field.

This chapter reviews the literature on social networks in the alcohol field. The review focuses on the dynamics of the social-network system and network analysis. Stressors to recently urbanized persons are also examined in a discussion of social adaptation, social identity, and networks. The findings of several studies that are summarized indicate that there is a crisis in changing cultural styles and social values that develops after migration and resettlement. An aspect of this review suggests that social networks may be utilized as stress-buffering strategies in both a constructive and a destructive fashion during these periods of crisis. The author describes these networks as pathways to care and illustrates how they might play a significant role in alcoholism-treatment and recovery programs. Finally, the author concludes with some possible directions for future research on the systematic study of social bonds.

Alcohol Drinking↗

The utilization of formal medical services for young children. The lack of impact of medical professionals in social networks.

The objective of this study was to examine the impact of medical professionals in social networks on the use of formal medical care for young children's minor illnesses. 795 Swedish mothers, with only one child 5-15 months of age, were randomly sampled. The mothers were interviewed by telephone and complete interviews were conducted with 92% of them. Of the 795 mothers, 84% had a relative or friend and 24% had a physician or nurse within their social networks whom they could contact for advice and support when their children became ill. No associations were found between the mothers' access to advice and support from medical professionals within their social networks and the number of formal medical contacts for their young children's illnesses. Similarly, no associations were found between the mothers' access to advice and support from lay persons in their social networks and the use of medical services for their children.

Adolescent↗

Social network characteristics as mediators in the relationship between sexual abuse and HIV risk.

Recent research suggests that sexual abuse may be a potent risk factor for engaging in HIV risk behaviors for women. This relationship is likely mediated by the long term sequelae of sexual abuse. One plausible causal pathway posits that specific social network characteristics increase HIV risk exposure opportunities. This is premised on the belief that previous sexual abuse predisposes some women to become members of risk networks characterized by deviant behaviors and that HIV risk occurs in the context of these networks. One hundred and thirty women opiate users were systematically recruited from methadone maintenance and syringe exchange programs in New York City. The women participated in a one hour interview and provided information on drug use and frequency, HIV drug and sex risk behaviors, social network characteristics, and sexual abuse histories. Univariate and logistic regression techniques were used to test the relationship between sexual abuse and increased HIV risk as mediated by social network characteristics. Previous sexual abuse was strongly related to all social network characteristics examined. Moreover, these network characteristics appeared to affect patterns of drug use in identifiable ways. Social isolation was the only network characteristic associated with both HIV drug and sex risk behaviors. However, although a history of sexual abuse was significantly associated with five of the seven specific HIV risk behaviors examined, the relationship between sexual abuse and HIV risk behaviors remained unchanged when social network characteristics were included in the statistical model. Overall, the results suggest that a sexual abuse experience or its aftermath influence behavior far into the future. However, the results of this study did not show social network characteristics mediating the relationship between sexual abuse and HIV risk. Rather, previous sexual abuse and social network characteristics appear to be independent contributors to HIV risk behaviors for women.

Adult↗

Social networks among older Australians: a validation of Glass's model.

BACKGROUND: The purpose of the study was to validate a set of measures of social networks that will be useful in epidemiological studies of the health of older persons. METHODS: Confirmatory factor analysis was used to test a multi-dimensional model of social networks. Data were drawn from The Australian Longitudinal Study of Ageing, conducted in the greater metropolitan area of Adelaide, South Australia. Participants were 1477 persons aged > or = 70 years who lived in the community or an institution and took part in the Australian Longitudinal Study of Ageing. Social networks with children, other relatives, friends and confidants were considered. Demographic indicators of gender, age group, income, education, marital status and place of residence were also measured, and social networks were compared for categories of these variables. RESULTS: Networks with children, relatives, friends and confidants were substantiated in these analyses. Differences in networks between categories of the demographic variables were evident. DISCUSSION: Adoption of the proposed measures will allow greater comparability between studies of older persons. This could lead to a better understanding of the effect of specific social networks upon health.

Aged↗

Social network characteristics and cognition in middle-aged and older adults.

We examined the relationship between social network characteristics and global cognitive status in a community-based sample of 354 adults aged 50+ and with Mini-Mental State Examination (MMSE) scores of 28+ at baseline. Multivariate analyses indicated that interaction in larger social networks related to better maintenance of MMSE scores and reduced odds of decline to population-based lower quartile MMSE scores at follow-up 12 years later. At follow-up, higher levels of interpersonal activity (more frequent contacts in larger social networks) and exposure to emotional support independently related positively to MMSE. The findings suggest that interaction in larger social networks is a marker that portends less cognitive decline, and that distinct associational paths link interpersonal activity and emotional support to cognitive function.

Aged↗

Social networks are associated with lower mortality rates among women with suspected coronary disease: the National Heart, Lung, and Blood Institute-Sponsored Women's Ischemia Syndrome Evaluation study.

OBJECTIVE: To examine the association between social relationships measured by the Social Network Scale and coronary artery disease (CAD) risk and mortality among a sample of women with suspected CAD. METHODS: Five hundred three women (mean age, 59 years) with suspected CAD warranting clinical investigation completed a diagnostic protocol including psychosocial testing, CAD risk factor assessment, and quantitative coronary angiography. Patients were subsequently followed for a mean of 2.3 years to track all-cause mortality. RESULTS: Women reporting higher social network scores showed a consistent pattern of reduced coronary artery disease risk, including lower blood glucose levels (r = -0.11; p = .03), lower smoking rates (odds ratio [OR] = 0.81; 95% confidence interval [CI] = 0.71-0.93; p = .002), lower waist-hip ratios (r = -0.18; p < .01), and lower rates of hypertension (OR = 0.90; 95% CI = 0.81-0.99; p = .04) and diabetes (OR = 0.83; 95% CI = 0.73-0.94; p = .004). Based on quantitative angiogram findings, high social network scorers also had less severe CAD (mean angiogram stenosis value, 40.8 vs. 27.2 for low and high scoring social network groups, respectively; p < .001). Finally, mortality rates over follow-up showed a dose-response pattern in relation to quartile scorers on the Social Network Index, with low scorers showing more than twice the death rate of high scorers (relative risk = 2.4; p = .03). CONCLUSIONS: Among a cohort of women with suspected CAD, smaller social circles were associated with increased CAD risk factors and mortality, an effect that appeared to be explained largely by income level. The findings extend previous studies of social network effects on health by highlighting risk among women with suspected CAD, and suggest mechanisms for further study.

Blood Glucose↗

[Applying social network analysis to the health system].

BACKGROUND: Social network analysis is a method for describing and contextualising the structural relationships amongst social entities. The aim of this study was to assess the relationships between hospitals through the use of an example of a hospital that takes care of myocardial infarction in the region of Provence Alpes Côte d'Azur (PACA). METHOD: This retrospective study included all patients hospitalised for acute coronary syndrome in the PACA region between January and June 2000. The description analysis consisted of making a graph describing the transfer of patients between hospitals to calculate indicators for the centrality of the hospital and its prestige. The graph was also used to determine and measure the sub-group cohesion (cliques) and the density of the hospital network. RESULTS: A total of 2049 patients suffering from myocardial infarction were admitted to 78 hospitals during the study period. There were 867 transfers from one hospital to another. 51 cliques were highlighted; 29 hospitals do not belong to a clique. Among the 49 hospitals who do belong to sub-groups, 50% are linked to two cliques. Eight hospitals belong to more than 8 sub-groups, and the maximum number of sub-groups to which a hospital is linked is 12. The density of the hospital network is 0.12. CONCLUSIONS: Social network analysis is a field of research open and adaptable to the public health scene. This method could be applied to the evaluation of health and hospital administration and management networks.

Community Networks↗

Social network among young adults with first-episode schizophrenia spectrum disorders: results from the Danish OPUS trial.

BACKGROUND: Social network has considerable impact on physical and mental health. Patients experiencing first-episode psychosis early in adult life may experience severe problems concerning development and maintenance of their social network. METHODS: A total of 547 first-episode psychotic patients (18-45) were randomised to standard or integrated treatment, (ACT, social skills training and family intervention), and followed up at 2 years. RESULTS: Service use or psychotic symptom score did not influence the social network size, measured after the first 2 years of treatment. Small network size was associated with long duration of untreated psychosis (DUP), poor premorbid adjustment, male gender and severe negative symptoms. The number of friends at 2-year follow-up was predicted by age, A-level status, negative symptoms and number of friends at entry, while the determinants for number of family contacts were age, gender, disorganised dimension and family contacts at entry. CONCLUSIONS: Premorbid functioning, network size at entry and DUP is closely related to small social network size. The integrated psychosocial treatment programme was not sufficient to address this problem.

Adult↗

Peer social networks of young boys with developmental delays.

Community-based peer social networks of young boys with developmental delays and parental arranging and monitoring of their child's peer contacts were examined. Comparisons were made to matched groups of children who were developing typically and to children with communication disorders. Results showed more limited peer social networks for both groups of children with disabilities based primarily on the frequency of contacts with peers and linkages established across school and community settings. All three groups were indistinguishable from one another on numerous measures of peer social networks, including duration and quality of individual relationships and participation in organized group activities with peers. Groups also differed on parental arranging and monitoring, which appeared to be related to children's developmental level.

Analysis of Variance↗