Well-being and biological cost of family members affected by substance use disorder of others.

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Title: Well-being and biological cost of family members affected by substance use disorder of others.
Authors: Chen, Zhao-Rong (AUTHOR), Zhang, Nian-Nian (AUTHOR), Cao, Wen-Yu (AUTHOR), Liu, Qian (AUTHOR), Cui, Yan-Hui (AUTHOR), Lu, Xiao-Yu (AUTHOR), Yao, Jia-Yu (AUTHOR), Li, Fang (AUTHOR), Li, Chang-Qi (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Oct2025, Vol. 275 Issue 7, p2163-2175. 13p.
Abstract: This cross-sectional study assessed the well-being of family members affected (AFMs) by substance use disorder (SUD) of other family members. Mental symptoms, social avoidance, and quality of life (QoL) were measured for 775 Chinese AFMs and 206 controls. Saliva from 65 AFMs and 31 controls was analyzed for cortisol, BDNF, proBDNF, and mRNA levels of BDNF and its receptors (TrkB, P75NTR, Sortilin). AFMs had significantly higher SCL-90 scores (t = 3.45, p < 0.01) and lower SF-36 scores (t = -4.70, p < 0.01). Of AFMs, 22.1% exhibited mental symptoms. Social support partially mediated the relationship between exposure to SUD patients and mental symptoms (effect = 0.31, SE = 0.16; 95% CI [0.02, 0.67]). Positive coping (effect = 0.03, SE = 0.01; 95% CI [0.01, 0.05]) and social support (effect = 0.02, SE = 0.01; 95% CI [0.01, 0.04]) mediated the effect of exposure to family SUD on social avoidance; positive coping mediated the effect on QoL (effect = -3.03, SE = 0.72; 95% CI [-4.58, -1.75]). AFMs exhibited higher cortisol (t = 2.10, p < 0.05) and proBDNF (t = 2.39, p < 0.05) levels and increased mRNA expression of BDNF (t = 0.66, p < 0.05) and TrkB (t = 1.12, p < 0.05). Cortisol positively predicted mental symptoms, and proBDNF negatively predicted QoL. In China, AFMs of SUD have increased risk of mental health issues and reduced QoL, likely due to elevated cortisol and proBDNF levels. Positive coping and social support are critical to mitigate these negative effects. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience 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: Well-being and biological cost of family members affected by substance use disorder of others.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chen%2C+Zhao-Rong%22&quot;&gt;Chen, Zhao-Rong&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhang%2C+Nian-Nian%22&quot;&gt;Zhang, Nian-Nian&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Cao%2C+Wen-Yu%22&quot;&gt;Cao, Wen-Yu&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liu%2C+Qian%22&quot;&gt;Liu, Qian&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Cui%2C+Yan-Hui%22&quot;&gt;Cui, Yan-Hui&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lu%2C+Xiao-Yu%22&quot;&gt;Lu, Xiao-Yu&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yao%2C+Jia-Yu%22&quot;&gt;Yao, Jia-Yu&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li%2C+Fang%22&quot;&gt;Li, Fang&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li%2C+Chang-Qi%22&quot;&gt;Li, Chang-Qi&lt;/searchLink&gt; (AUTHOR)
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22&quot;&gt;European Archives of Psychiatry &amp; Clinical Neuroscience&lt;/searchLink&gt;. Oct2025, Vol. 275 Issue 7, p2163-2175. 13p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This cross-sectional study assessed the well-being of family members affected (AFMs) by substance use disorder (SUD) of other family members. Mental symptoms, social avoidance, and quality of life (QoL) were measured for 775 Chinese AFMs and 206 controls. Saliva from 65 AFMs and 31 controls was analyzed for cortisol, BDNF, proBDNF, and mRNA levels of BDNF and its receptors (TrkB, P75NTR, Sortilin). AFMs had significantly higher SCL-90 scores (t = 3.45, p &lt; 0.01) and lower SF-36 scores (t = -4.70, p &lt; 0.01). Of AFMs, 22.1% exhibited mental symptoms. Social support partially mediated the relationship between exposure to SUD patients and mental symptoms (effect = 0.31, SE = 0.16; 95% CI [0.02, 0.67]). Positive coping (effect = 0.03, SE = 0.01; 95% CI [0.01, 0.05]) and social support (effect = 0.02, SE = 0.01; 95% CI [0.01, 0.04]) mediated the effect of exposure to family SUD on social avoidance; positive coping mediated the effect on QoL (effect = -3.03, SE = 0.72; 95% CI [-4.58, -1.75]). AFMs exhibited higher cortisol (t = 2.10, p &lt; 0.05) and proBDNF (t = 2.39, p &lt; 0.05) levels and increased mRNA expression of BDNF (t = 0.66, p &lt; 0.05) and TrkB (t = 1.12, p &lt; 0.05). Cortisol positively predicted mental symptoms, and proBDNF negatively predicted QoL. In China, AFMs of SUD have increased risk of mental health issues and reduced QoL, likely due to elevated cortisol and proBDNF levels. Positive coping and social support are critical to mitigate these negative effects. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: &lt;i&gt;Copyright of European Archives of Psychiatry &amp; Clinical Neuroscience 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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        Value: 10.1007/s00406-025-02019-7
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      – Code: eng
        Text: English
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        PageCount: 13
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            NameFull: Chen, Zhao-Rong
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            – D: 01
              M: 10
              Text: Oct2025
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