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Family planning and resilience: associations found in a Population, Health, and Environment (PHE) project in Western Tanzania.

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Title: Family planning and resilience: associations found in a Population, Health, and Environment (PHE) project in Western Tanzania.
Authors: Hardee, Karen1 karen.hardee@hardeeassociates.com, Patterson, Kristen P.2, Schenck-Fontaine, Anika3, Hess, Sebastiaan4, Leisher, Craig5, Mutunga, Clive6, Margoluis, Cheryl7, Honzak, Cara7
Source: Population & Environment. Dec2018, Vol. 40 Issue 2, p204-238. 35p. 1 Diagram, 7 Charts.
Subject Terms: *Climate change, *Environmental sciences, *Public health, Family planning, Ecological resilience, Socioeconomic factors
Abstract: Using 2016 household survey data from Tanzania, we define and measure resilience within the context of Population, Health, and Environment programming and quantify the link between resilience and family planning. We created a multicomponent model using confirmatory factor analysis in a structural equation modeling context. Factor loadings for eight defined latent factors of resilience were statistically significant (p < 0.001). We created a factor called "FP-MCH" reflecting awareness, attitudes, and access to family planning (FP) and health care services and use of maternal and child health care (MCH) facilities. Analysis, with controls, shows that a 1 standard deviation (SD) increase in FP/MCH was associated with a 0.68 SD increase in resilience (p < 0.01), suggesting that the association between FP/MCH and resilience is robust across a range of factors. Analyses showed that the association between FP/MCH is broadly related to the construct of resilience and not through any single component. This study supports the importance of including FP/MCH as part of integrated projects to enhance resilience. [ABSTRACT FROM AUTHOR]
Copyright of Population & Environment is the property of Springer Nature 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.)
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  Data: Family planning and resilience: associations found in a Population, Health, and Environment (PHE) project in Western Tanzania.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Hardee%2C+Karen%22&quot;&gt;Hardee, Karen&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;i&gt; karen.hardee@hardeeassociates.com&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Patterson%2C+Kristen+P%2E%22&quot;&gt;Patterson, Kristen P.&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Schenck-Fontaine%2C+Anika%22&quot;&gt;Schenck-Fontaine, Anika&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Hess%2C+Sebastiaan%22&quot;&gt;Hess, Sebastiaan&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Leisher%2C+Craig%22&quot;&gt;Leisher, Craig&lt;/searchLink&gt;&lt;relatesTo&gt;5&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Mutunga%2C+Clive%22&quot;&gt;Mutunga, Clive&lt;/searchLink&gt;&lt;relatesTo&gt;6&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Margoluis%2C+Cheryl%22&quot;&gt;Margoluis, Cheryl&lt;/searchLink&gt;&lt;relatesTo&gt;7&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Honzak%2C+Cara%22&quot;&gt;Honzak, Cara&lt;/searchLink&gt;&lt;relatesTo&gt;7&lt;/relatesTo&gt;
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Population+%26+Environment%22&quot;&gt;Population &amp; Environment&lt;/searchLink&gt;. Dec2018, Vol. 40 Issue 2, p204-238. 35p. 1 Diagram, 7 Charts.
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  Data: *&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Climate+change%22&quot;&gt;Climate change&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Environmental+sciences%22&quot;&gt;Environmental sciences&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Public+health%22&quot;&gt;Public health&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Family+planning%22&quot;&gt;Family planning&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Ecological+resilience%22&quot;&gt;Ecological resilience&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Socioeconomic+factors%22&quot;&gt;Socioeconomic factors&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Using 2016 household survey data from Tanzania, we define and measure resilience within the context of Population, Health, and Environment programming and quantify the link between resilience and family planning. We created a multicomponent model using confirmatory factor analysis in a structural equation modeling context. Factor loadings for eight defined latent factors of resilience were statistically significant (p &lt; 0.001). We created a factor called &quot;FP-MCH&quot; reflecting awareness, attitudes, and access to family planning (FP) and health care services and use of maternal and child health care (MCH) facilities. Analysis, with controls, shows that a 1 standard deviation (SD) increase in FP/MCH was associated with a 0.68 SD increase in resilience (p &lt; 0.01), suggesting that the association between FP/MCH and resilience is robust across a range of factors. Analyses showed that the association between FP/MCH is broadly related to the construct of resilience and not through any single component. This study supports the importance of including FP/MCH as part of integrated projects to enhance resilience. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Population &amp; Environment is the property of Springer Nature 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.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11111-018-0310-x
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 35
        StartPage: 204
    Subjects:
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Environmental sciences
        Type: general
      – SubjectFull: Public health
        Type: general
      – SubjectFull: Family planning
        Type: general
      – SubjectFull: Ecological resilience
        Type: general
      – SubjectFull: Socioeconomic factors
        Type: general
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      – TitleFull: Family planning and resilience: associations found in a Population, Health, and Environment (PHE) project in Western Tanzania.
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            NameFull: Hardee, Karen
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            NameFull: Patterson, Kristen P.
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            NameFull: Schenck-Fontaine, Anika
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            NameFull: Hess, Sebastiaan
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              Text: Dec2018
              Type: published
              Y: 2018
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