Exploring the Determinants of Support Provision: Provider Characteristics, Personal Networks, Community Contexts, and Support Following Life Events

Haines, Valerie A.; Hurlbert, Jeanne S.; Beggs, John J.

doi:10.2307/2137295

Cited by 142 publications

(109 citation statements)

References 35 publications

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“…This condition is one of the precursors to develop a depression if no support is given in future [11]. Similar findings can be found in [9,10].…”

Section: Simulation Resultssupporting

confidence: 71%

“…Requests for support may be expressed either directly or indirectly. Direct request strategies differ from indirect strategies primarily with regard to two inextricably fused aspects; namely, their communicative clearness and their demand characteristics [10]. In this case, personality plays a central role to determine either direct or indirect request is expressed, for example; individuals' with neuroticism to express their request emotional support request through unpleasant emotions gestures.…”

Section: Important Concepts In Support Receipt and Provisionmentioning

confidence: 99%

“…For example, one reason why individuals may opt for a weak tie support members (e.g: colleague) is that weak ties often provide access to diverse points of information (informational support) [10]. In additional to this, researchers have found that health concerns are often difficult topics for people to discuss, especially with interacting with the close tie members.…”

Section: Important Concepts In Support Receipt and Provisionmentioning

confidence: 99%

“…For this scenario, it can be seen that the social disengagement is decreasing, and potentially to show that a person is accepting social support and improving the social interaction within a social support network. This condition occurs almost within the majority of individuals when they received the right support by their support members [4,10,11].…”

Section: #3mentioning

confidence: 99%

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Intelligent Configuration of Social Support Networks Around Depressed Persons

Aziz

Klein

Treur

2011

Artificial Intelligence in Medicine

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Abstract.Helping someone who is depressed can be very important to the depressed person. A number of supportive family members or friends can often make a big difference. This paper addresses how a social support network can be formed, taking the needs of the support recipient and the possibilities of the potential support providers into account. To do so, dynamic models about the preferences and needs of both support providers and support recipients are exploited. The outcome of this is used as input for a configuration process of a support network. In a case study, it is show how such an intelligently formed network results in a reduced long term stress level.

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“…This condition is one of the precursors to develop a depression if no support is given in future [11]. Similar findings can be found in [9,10].…”

Section: Simulation Resultssupporting

confidence: 71%

Section: Important Concepts In Support Receipt and Provisionmentioning

confidence: 99%

Section: Important Concepts In Support Receipt and Provisionmentioning

confidence: 99%

Section: #3mentioning

confidence: 99%

See 2 more Smart Citations

Intelligent Configuration of Social Support Networks Around Depressed Persons

Aziz

Klein

Treur

2011

Artificial Intelligence in Medicine

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“…Finally, lower levels of social support may exist in economically disadvantaged neighborhoods (Klebanov, Brooks-Gunn, & Duncan, 1994). For example, in the wake of Hurricane Andrew, residents of low-income neighborhoods provided less assistance to one another than did those of higher-income neighborhoods, when controlling for the effects of individual-level household income (Haines, Hurlbert, & Beggs, 1996).…”

Section: Neighborhood Contextmentioning

confidence: 99%

Neighborhood Context, Personality, and Stressful Life Events as Predictors of Depression Among African American Women.

Cutrona¹,

Russell²,

Brown³

et al. 2005

Journal of Abnormal Psychology

208

167

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The authors tested neighborhood context, negative life events, and negative affectivity as predictors of the onset of major depression among 720 African American women. Neighborhood-level economic disadvantage (e.g., percentage of residents below the poverty line) and social disorder (e.g., delinquency, drug use) predicted the onset of major depression when controlling for individual-level demographic characteristics. Neighborhood-level disadvantage/disorder interacted with negative life events, such that women who experienced recent negative life events and lived in high disadvantage/ disorder neighborhoods were more likely to become depressed than were those who lived in more benign settings, both concurrently and over a 2-year period. Neighborhood disadvantage/disorder can be viewed as a vulnerability factor that increases susceptibility to depression following the experience of negative life events.The neighborhood contexts in which people live affect many aspects of their lives, including their daily stress level, personal safety, and available resources. Contextual effects have been hypothesized for development in general and for mental health in particular (Bronfenbrenner, 1979a(Bronfenbrenner, ,1979b(Bronfenbrenner, ,1986Jessor, 1992Jessor, ,1993. The MacArthur Foundation issued a set of recommendations calling for systematic consideration of the role of context in the etiology of psychopathology (Boyce, Frank, Jensen, Kessler, Nelson, & Steinberg, 1998). However, to date, neighborhood contexts have received relatively little attention as a factor in mental health. Considerably more work has been done on the effects of neighborhood context on delinquency,

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Survey Methods for Social Network Research

Cornwell

Hoagland

2014

Health Survey Methods

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Exploring the Determinants of Support Provision: Provider Characteristics, Personal Networks, Community Contexts, and Support Following Life Events

Cited by 142 publications

References 35 publications

Intelligent Configuration of Social Support Networks Around Depressed Persons

Intelligent Configuration of Social Support Networks Around Depressed Persons

Neighborhood Context, Personality, and Stressful Life Events as Predictors of Depression Among African American Women.

Survey Methods for Social Network Research

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