View in EDS HTML Full Text PDF Full Text

Bidirectional Influence: A Longitudinal Analysis of Size of Drug Network and Depression Among Inner-City Residents in Baltimore, Maryland.

Saved in:
Bibliographic Details
Title: Bidirectional Influence: A Longitudinal Analysis of Size of Drug Network and Depression Among Inner-City Residents in Baltimore, Maryland.
Authors: Yang, Jingyan (AUTHOR), Latkin, Carl (AUTHOR), Davey-Rothwell, Melissa (AUTHOR), Agarwal, Mansi (AUTHOR)
Source: Substance Use & Misuse. Oct2015, Vol. 50 Issue 12, p1544-1551. 8p. 3 Charts, 1 Graph.
Subjects: Mental depression risk factors, Substance abuse & psychology, Automatic data collection systems, Chi-squared test, Confidence intervals, Mental depression, Interviewing, Longitudinal method, Poisson distribution, Probability theory, Research funding, Social networks, Statistics, T-test (Statistics), Logistic regression analysis, Secondary analysis, Socioeconomic factors, Repeated measures design, Psychology of drug abusers, Odds ratio
Geographic Terms: Maryland
Abstract: Background: The prevalence of depression among drug users is high. It has been recognized that drug use behaviors can be influenced and spread through social networks. Objectives: We investigated the directional relationship between social network factors and depressive symptoms among a sample of inner-city residents in Baltimore, MD. Methods: We performed a longitudinal study of four-wave data collected from a network-based HIV/STI prevention intervention for women and network members, consisting of both men and women. Our primary outcome and exposure were depression using CESD scale and social network characteristics, respectively. Linear-mixed model with clustering adjustment was used to account for both repeated measurement and network design. Results: Of the 746 participants, those who had high levels of depression tended to be female, less educated, homeless, smokers, and did not have a main partner. In the univariate longitudinal model, larger size of drug network was significantly associated with depression (OR = 1.38, p <.001). This relationship held after controlling for age, gender, homeless in the past 6 months, college education, having a main partner, cigarette smoking, perceived health, and social support network (aOR = 1.19, p =.001). In the univariate mixed model using depression to predict size of drug network, the data suggested that depression was associated with larger size of drug network (coef. = 1.23, p <.001) and the same relation held in multivariate model (adjusted coef. = 1.08, p =.001). Conclusions: The results suggest that larger size of drug network is a risk factor for depression, and vice versa. Further intervention strategies to reduce depression should address social networks factors. [ABSTRACT FROM AUTHOR]
Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 111312809
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Bidirectional Influence: A Longitudinal Analysis of Size of Drug Network and Depression Among Inner-City Residents in Baltimore, Maryland.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yang%2C+Jingyan%22&quot;&gt;Yang, Jingyan&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Latkin%2C+Carl%22&quot;&gt;Latkin, Carl&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Davey-Rothwell%2C+Melissa%22&quot;&gt;Davey-Rothwell, Melissa&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Agarwal%2C+Mansi%22&quot;&gt;Agarwal, Mansi&lt;/searchLink&gt; (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Substance+Use+%26+Misuse%22&quot;&gt;Substance Use &amp; Misuse&lt;/searchLink&gt;. Oct2015, Vol. 50 Issue 12, p1544-1551. 8p. 3 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Mental+depression+risk+factors%22&quot;&gt;Mental depression risk factors&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Substance+abuse+%26+psychology%22&quot;&gt;Substance abuse &amp; psychology&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Automatic+data+collection+systems%22&quot;&gt;Automatic data collection systems&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Chi-squared+test%22&quot;&gt;Chi-squared test&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Confidence+intervals%22&quot;&gt;Confidence intervals&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Mental+depression%22&quot;&gt;Mental depression&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Interviewing%22&quot;&gt;Interviewing&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Longitudinal+method%22&quot;&gt;Longitudinal method&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Poisson+distribution%22&quot;&gt;Poisson distribution&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Probability+theory%22&quot;&gt;Probability theory&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Research+funding%22&quot;&gt;Research funding&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Social+networks%22&quot;&gt;Social networks&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Statistics%22&quot;&gt;Statistics&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22T-test+%28Statistics%29%22&quot;&gt;T-test (Statistics)&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Logistic+regression+analysis%22&quot;&gt;Logistic regression analysis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Secondary+analysis%22&quot;&gt;Secondary analysis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Socioeconomic+factors%22&quot;&gt;Socioeconomic factors&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Repeated+measures+design%22&quot;&gt;Repeated measures design&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Psychology+of+drug+abusers%22&quot;&gt;Psychology of drug abusers&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Odds+ratio%22&quot;&gt;Odds ratio&lt;/searchLink&gt;
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Maryland%22&quot;&gt;Maryland&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: The prevalence of depression among drug users is high. It has been recognized that drug use behaviors can be influenced and spread through social networks. Objectives: We investigated the directional relationship between social network factors and depressive symptoms among a sample of inner-city residents in Baltimore, MD. Methods: We performed a longitudinal study of four-wave data collected from a network-based HIV/STI prevention intervention for women and network members, consisting of both men and women. Our primary outcome and exposure were depression using CESD scale and social network characteristics, respectively. Linear-mixed model with clustering adjustment was used to account for both repeated measurement and network design. Results: Of the 746 participants, those who had high levels of depression tended to be female, less educated, homeless, smokers, and did not have a main partner. In the univariate longitudinal model, larger size of drug network was significantly associated with depression (OR = 1.38, p &lt;.001). This relationship held after controlling for age, gender, homeless in the past 6 months, college education, having a main partner, cigarette smoking, perceived health, and social support network (aOR = 1.19, p =.001). In the univariate mixed model using depression to predict size of drug network, the data suggested that depression was associated with larger size of drug network (coef. = 1.23, p &lt;.001) and the same relation held in multivariate model (adjusted coef. = 1.08, p =.001). Conclusions: The results suggest that larger size of drug network is a risk factor for depression, and vice versa. Further intervention strategies to reduce depression should address social networks factors. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of Substance Use &amp; Misuse is the property of Taylor &amp; Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=111312809
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3109/10826084.2015.1023452
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 1544
    Subjects:
      – SubjectFull: Mental depression risk factors
        Type: general
      – SubjectFull: Substance abuse & psychology
        Type: general
      – SubjectFull: Automatic data collection systems
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Poisson distribution
        Type: general
      – SubjectFull: Probability theory
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Secondary analysis
        Type: general
      – SubjectFull: Socioeconomic factors
        Type: general
      – SubjectFull: Repeated measures design
        Type: general
      – SubjectFull: Psychology of drug abusers
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Maryland
        Type: general
    Titles:
      – TitleFull: Bidirectional Influence: A Longitudinal Analysis of Size of Drug Network and Depression Among Inner-City Residents in Baltimore, Maryland.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yang, Jingyan
      – PersonEntity:
          Name:
            NameFull: Latkin, Carl
      – PersonEntity:
          Name:
            NameFull: Davey-Rothwell, Melissa
      – PersonEntity:
          Name:
            NameFull: Agarwal, Mansi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 10826084
          Numbering:
            – Type: volume
              Value: 50
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Substance Use & Misuse
              Type: main
ResultId 1