Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Social Networks”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 469 records · Page 26Linked to original sources
PubMed1996

Social network characteristics and onset of ADL disability: MacArthur studies of successful aging.

The relationship between social network structural and support characteristics and onset of new or recurrent activities of daily living (ADL) disability was examined in a cohort of older men and women. No significant protective effects were found for network structural or support characteristics. However, greater frequency of instrumental support was associated with significantly increased risk of ADL disability among men; a similar though nonsignificant pattern was seen among women. These findings indicate that receipt of more instrumental support may not have uniformly beneficial effects on functional status. They serve to underscore the need for more comprehensive research, examining both the positive and negative effects of social interactions on health and functioning.

Activities of Daily Living↗
PubMed1987

Social networks as assets and liabilities in recovery from stroke by geriatric patients.

Interactions in the social networks of 48 elderly stroke patients were examined as factors influencing outcomes after hospital discharge. Structured interviews assessed the frequency of perceived positive and negative interactions, as well as patients' behavioral independence, time use, personal adjustment, and cognitive functioning. Negative interactions occurred less frequently than positive ones. After controlling for status at hospital discharge, negative and positive interactions differentially explained variance in morale, psychiatric symptoms, and cognitive functioning. Although negative interactions were associated with poorer morale and greater psychiatric symptoms, positive interactions were associated with less mental confusion. Patients' reporting and not reporting negative interactions did not differ significantly on a variety of social and demographic variables previously shown to predict social interactions and well-being. Findings indicate that social interactions may both impede and facilitate rehabilitation for older adults and have implications for both theories of social support and the design of therapeutic interventions.

Activities of Daily Living↗
PubMed2003

The effect of social network intervention for women with rheumatoid arthritis.

A partially-controlled intervention study was performed. Female patients with rheumatoid arthritis (RA) were allocated to three groups: the network intervention group (n = 104), the attention control group (n = 85), and the no-treatment control group (n = 75). The network intervention consisted of an assessment session and a network meeting. Patients were assessed at baseline and approximately 10 and 18 months after the intervention. The network intervention group reported an increase in network size. Daily emotional support increased for the intervention patients compared with patients in the attention control group. The degree of social dysfunction was reduced for patients in the intervention group compared to patients in the no-treatment control group. Furthermore, for single patients, the intervention significantly increased the social network size and improved both social functioning, and perceived overall health, compared to both control groups. The results suggest that the social needs of single patients should be given special attention in clinical settings.

Adult↗
PubMed2004

[Assessment of social networks between developmental physicians and welfare facilities/specialists for children with intellectual disabilities in Japan].

The social networks between Japanese child neurologists and welfare facilities/specialists for children with mental retardation (MR) were assessed. A total of 113 physicians answered our mail-in questionnaire. Most of the doctors had various connections with nursery homes for children with MR or severe motor and intellectual disabilities (SMID) and with public health centers, and often collaborated with teachers of schools and kindergartens. On the other hand, most physicians had little relation with residential and vocational facilities for adults with MR, and with specialists in residential or community care. There was a statistical correlation between the number of facilities or collaborated specialists and the number of persons seen by each physician; however, the physicians' experience and affiliations had no relation. In view of 'social participation', physicians who usually see children with developmental disorders can play an important role in decision making of their life-style with their families.

Child↗
PubMed1988

Social networks and health status of the unemployed.

Results of a study of the relationship between social networks and the health status of the unemployed, which used data gathered in the National Survey of Personal Health Practices and Consequences, are described. The number of and contact with close friends and relatives were predictive of health status for unemployed people beyond what is attributable to demographic factors. The relationship among these factors for the unemployed was compared with that in the total population and in an employed population, and the factors were found to be significantly more important for the unemployed.

Adolescent↗
PubMed2003

The association of disability, sociodemographic background, and social network type in later life.

The article examines the association of disability and sociodemographic background with the type of social network in which elders are embedded and considers the implications of such associations for network continuity. METHODS. Secondary analysis of data from a national probability sample of Jewish adults aged 60 and older in Israel (N = 2,079) was used. Multinomial logistic regression analysis was employed to predict membership in different network types. RESULTS. Higher education predicted membership in friends networks. Female gender, Asian/African origin, low income, and disability were associated with neighbors networks. Family networks were predicted by Asian/African origin, less education, younger age, and disability. Restricted networks were associated with lower income and disability, and particularly by the interaction of age and disability. DISCUSSION. The findings suggest that network stability is most jeopardized when the oldest old become disabled. The social care needs of this latter group will continue to demand public attention.

Africa↗
PubMed2006

Modeling self-organization of communication and topology in social networks.

This paper introduces a model of self-organization between communication and topology in social networks, with a feedback between different communication habits and the topology. To study this feedback, we let agents communicate to build a perception of a network and use this information to create strategic links. We observe a narrow distribution of links when the communication is low and a system with a broad distribution of links when the communication is high. We also analyze the outcome of chatting, cheating, and lying, as strategies to get better access to information in the network. Chatting, although only adopted by a few agents, gives a global gain in the system. Contrary, a global loss is inevitable in a system with too many liars.

Journal Article↗
PubMed1986

Social network development and functioning during a life transition.

A 12-week longitudinal study of the development of social support networks among college freshmen is presented. Eighty-nine male and female students who lived either in university residence halls or at home with their parents completed a series of questionnaires in which they described their social networks while attending college and their adaptation to university life. In accord with an ecological view of social support, the structural and functional characteristics of the freshmen's networks were found to vary with the focal individual's gender, living situation, and the temporal stage of the network. Further, network characteristics were significantly associated with the freshmen's successful adaptation to college, though the relative adaptiveness of particular network characteristics varied over time.

Adaptation, Psychological↗
PubMed2004

Assortative model for social networks.

In this Brief Report we present a version of a network growth model, generalized in order to describe the behavior of social networks. The case of study considered is the preprint archive at cul.arxiv.org. Each node corresponds to a scientist, and a link is present whenever two authors wrote a paper together. This graph is a nice example of degree-assortative network, that is, to say a network where sites with similar degree are connected to each other. The model presented is one of the few able to reproduce such behavior, giving some insight on the microscopic dynamics at the basis of the graph structure.

Journal Article↗
PubMed2006

Social network typologies and mental health among older adults.

In this study, we test the robustness of previous social network research and extend this work to determine if support quality is one mechanism by which network types predict mental health. Participants included 1,669 adults aged 60 or older from the Americans' Changing Lives study. Using cluster analysis, we found diverse, family, and friends network types, which is consistent with the work by Litwin from 2001. However, we found two types of restricted networks, rather than just one: a nonfamily network and a nonfriends network. Depressive symptomatology was highest for individuals in the nonfriends network and lowest for individuals in the diverse network. Positive support quality partially mediated the association between network type and depressive symptomatology. Results suggest that the absence of family in the context of friends is less detrimental than the absence of friends in the context of family, and that support quality is one mechanism through which network types affect mental health.

Aged↗
PubMed1996

Electrodermal activity and social network as predictors of outcome of episodes in schizophrenia.

The predictive value of electrodermal activity and social network was examined among 48 consecutively admitted schizophrenic patients. The patients were followed from an initial admission, through hospital stay, discharge, follow-up (M = 31 months), and possible relapse. Outcome variables were the length of stay in the hospital at the key episode and time to relapse, defined as a marked exacerbation or return of schizophrenic symptoms requiring inpatient or expansion of outpatient treatment. Multivariate analyses showed that a psychosocial variable, the availability of attachment, was the only independent predictor of length of stay in the hospital. Age at admission was a strong predictor of time to relapse. Age interacted with both outcome and electrodermal activity, and young electrodermal nonresponders were found to have the shortest time to relapse. At the 1-year follow-up, a main relapse effect was found for patients with a low skin conductance level.

Adolescent↗
PubMed2006

Does marital status and altered contact with the social network predict colorectal cancer survival?

We examined whether changes in the frequency of contact with the social network (partner, children, grandchildren, other relatives, friends and colleagues) in a group of colorectal cancer patients were associated with survival. The study was based on a questionnaire survey from 1991. The study population consisted of 770 Danish colorectal cancer patients diagnosed in the period 1985-1990, and followed up for survival until March 2002. Using Cox regression analysis we found a significantly higher mortality among patients who had lost their partner before the operation compared to patients cohabiting with the same partner as before the operation (rate ratio (RR)=1.4, 95% confidence interval (CI): 1.1-1.8) possibly because of less active cancer treatment. This needs investigation in future studies. Contrary to expectations we also found a significantly higher mortality among patients reporting increased contact with their children compared to patients reporting unchanged contact frequency (RR=1.7, 95% CI: 1.3-2.4). However, a low physical functioning of the cancer patient may have confounded the latter result.

Adolescent↗
PubMed2005

Lifespan differences in the social networks of prison inmates.

Socioemotional Selectivity Theory (SST) (Carstensen, 1992, 1993) accounts for lifespan changes in human social networks and for the motivations which underlie those changes. SST is applied in this research with 256 prison inmates and non-inmates, ages 18-84, from Mississippi, Kansas, and New Mexico. Two research questions sought to identify (a) whether inmate networks change in size, and (b) whether overall closeness within an inmate's network changes over the adult years. Results indicate that older inmates, much like older non-inmates, have few peripheral partners, are buffered from the wider population of prisoners, and interact within a small group of very close partners. Although older inmates are not completely isolated, they do maintain fewer network partners as age increases, like their non-incarcerated counterparts, and overall are as emotionally close to network members as non-inmates.

Adult↗
PubMed1998

Estimation of seroprevalence, rape, and homelessness in the United States using a social network approach.

The authors have developed and tested scale-up methods, based on a simple social network theory, to estimate the size of hard-to-count subpopulations. The authors asked a nationally representative sample of respondents how many people they knew in a list of 32 subpopulations, including 29 subpopulations of known size and 3 of unknown size. Using these responses, the authors produced an effectively unbiased maximum likelihood estimate of the number of people each respondent knows. These estimates were then used to back-estimate the size of the three populations of unknown size. Maximum likelihood values and 95% confidence intervals are found for seroprevalence, 800,000 +/- 43,000; for homeless, 526,000 +/- 35,000; and for women raped in the last 12 months, 194,000 +/- 21,000. The estimate for seroprevalence agrees strikingly with medical estimates, the homeless estimate is well within the published estimates, and the authors' estimate lies in the middle of the published range for rape victims.

Adolescent↗
PubMed2004

Social networks and homelessness among women heads of household.

To examine possible bidirectional relationships between homelessness and deficient social networks, we compared the networks of 251 mothers before, and approximately 5 years after, their families entered shelters with networks of 291 consistently housed poor mothers. At Time 1, more women on the verge of homelessness than housed women reported that they had mothers, grandmothers, friends, and relatives but fewer believed these network members were housing resources. At Time 2, after homeless women were rehoused, these network differences between consistently housed and formerly homeless women had largely disappeared. Contrary to prior research findings, formerly homeless mothers did not report smaller networks, more children or fewer partners. However, formerly homeless women did report fewer positive functions. Because of city policies, homeless mothers were frequently rehoused far from network members.

Adult↗
PubMed1993

Support and interpersonal stress in the social networks of married daughters caring for parents with dementia.

Data collected on 95 married daughters and 1,195 members of their social networks are used to investigate factors differentiating individuals who were and were not a source of social support or interpersonal stress to women caring for parents with dementia. Reports by the caregivers indicated that siblings and friends were almost equally important sources of support, but that siblings were overwhelmingly the most important source of interpersonal stress. Multivariate analyses demonstrated the importance of some dimensions of status similarity in explaining which network members were a source of support or stress. Individuals who had cared for an elderly relative were more likely to have been a source of support and less likely to have been a source of stress; individuals who were more similar in age to the caregivers were also less likely to have been a source of stress. Gender similarity was also associated with the provision of support; however, gender-similar network members were also a greater source of interpersonal stress.

Age Factors↗
PubMed1997

Social network associations with contraceptive use among Cameroonian women in voluntary associations.

This paper examines the association between social networks and contraceptive use. Using data from a survey of women belonging to voluntary associations in Yaoundé, Cameroon, we find that the behavior and characteristics of the members of a respondent's personal networks are associated with her contraceptive use, over and above a set of her own individual characteristics that are usually found to be important. Respondents who report that their network partners approve of contraception, use it, and encourage the respondent to use are more likely to use contraception themselves; the association with encouragement is particularly strong. Moreover, there is a strong association between the specific methods of contraception used by a respondent and those used by her network partners, suggesting that members of personal networks exchange and evaluate specific methods. Because most of the respondent's network partners were interviewed, we are able to compare the respondent's perceptions of contraceptive use by her network partners with the network partner's actual use. We find that it is perceptions of use that matter, even if those perception are incorrect.

Cameroon↗
PubMed1986

Social network therapy for cocaine dependence.

The article describes an approach to the treatment of cocaine dependent patients in which the patient's social network is used to bolster his attempts to achieve stable abstinence. The network is drawn from persons close to the patient, typically members of his immediate family or close friends, and is used for social support in assuring compliance with the treatment regimen and in undercutting denial. The function of the regimen is explained to the patient and network members: It is conducted to assure the patient's abstinence from the outset of treatment, to mitigate against the occurrence of slips, and to support reintegration into treatment should relapses to alcohol or drug use occur.

Cocaine↗