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      Social connectedness improves public mental health: Investigating bidirectional relationships in the New Zealand attitudes and values survey

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      Australian & New Zealand Journal of Psychiatry
      SAGE Publications

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          Abstract

          The importance of social connectedness in supporting public mental health is well established. However, the reverse causal pathway (that psychological ill-health leads to reduced social connectedness) remains a dominant perspective among mental health practitioners. Our analysis aimed to provide a rigorous test of the directionality of this relationship.

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          Most cited references28

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          Social group memberships protect against future depression, alleviate depression symptoms and prevent depression relapse.

          A growing body of research suggests that a lack of social connectedness is strongly related to current depression and increases vulnerability to future depression. However, few studies speak to the potential benefits of fostering social connectedness among persons already depressed or to the protective properties of this for future depression trajectories. We suggest that this may be in part because connectedness tends to be understood in terms of (difficult to establish) ties to specific individuals rather than ties to social groups. The current study addresses these issues by using population data to demonstrate that the number of groups that a person belongs to is a strong predictor of subsequent depression (such that fewer groups predicts more depression), and that the unfolding benefits of social group memberships are stronger among individuals who are depressed than among those who are non-depressed. These analyses control for initial group memberships, initial depression, age, gender, socioeconomic status, subjective health status, relationship status and ethnicity, and were examined both proximally (across 2 years, N = 5055) and distally (across 4 years, N = 4087). Depressed respondents with no group memberships who joined one group reduced their risk of depression relapse by 24%; if they joined three groups their risk of relapse reduced by 63%. Together this evidence suggests that membership of social groups is both protective against developing depression and curative of existing depression. The implications of these results for public health and primary health interventions are discussed. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            Depression and Social Identity: An Integrative Review.

            Social relationships play a key role in depression. This is apparent in its etiology, symptomatology, and effective treatment. However, there has been little consensus about the best way to conceptualize the link between depression and social relationships. Furthermore, the extensive social-psychological literature on the nature of social relationships, and in particular, research on social identity, has not been integrated with depression research. This review presents evidence that social connectedness is key to understanding the development and resolution of clinical depression. The social identity approach is then used as a basis for conceptualizing the role of social relationships in depression, operationalized in terms of six central hypotheses. Research relevant to these hypotheses is then reviewed. Finally, we present an agenda for future research to advance theoretical and empirical understanding of the link between social identity and depression, and to translate the insights of this approach into clinical practice. © 2014 by the Society for Personality and Social Psychology, Inc.
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              Longitudinal Modeling with Randomly and Systematically Missing Data: A Simulation of Ad Hoc, Maximum Likelihood, and Multiple Imputation Techniques

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                Author and article information

                Journal
                Australian & New Zealand Journal of Psychiatry
                Aust N Z J Psychiatry
                SAGE Publications
                0004-8674
                1440-1614
                December 19 2017
                August 12 2017
                :
                :
                : 000486741772399
                Article
                10.1177/0004867417723990
                28803484
                ee0283e4-2f6d-456f-a818-d9d6aec8bd54
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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