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Background <p>Although antiretroviral therapy has extended the lifespan of people living with HIV (PLWH), psychological symptoms are still prevalent. Given the complexity of psychological symptoms, effective interventions need to consider the interactions and associations of symptoms.</p> Aim <p>To explore psychological symptom association rule mining through Apriori algorithm analysis among PLWH in China.</p> Methods <p>This study was based on cross-sectional, multi-center, large sample data. From April 2022 to April 2023, we recruited 3040 participants with confirmed HIV-1 infections from six HIV sentinel hospitals in Beijing, Shanghai, Shenzhen, Nanning, Kunming, Baoshan and Jiaxing of China through convenience sampling to assess their psychological symptoms. The Apriori algorithm was employed to analyze the association rules among psychological symptoms in PLWH.</p> Results <p>26 of the 40 psychological symptoms entered into the association rules. We selected the top 126 association rules based on confidence. By visualizing the arrow directions of these association rules, three gradients were identified. Of the 40 symptoms, “ forgetting things that occurred recently ” and “ nervousness ” was the first gradient. </p> Limitations <p>The cross-sectional design can only describe the co-occurrence of psychological symptoms, lacking causal insights and needing longitudinal data. </p> Conclusions <p>Our findings highlight the interconnected nature of psychological symptoms among PLWH and underscore the need for prioritized, network-based interventions.</p> Clinical trial <p>Clinical trial number: not applicable.</p>

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Exploring psychological symptom associations among people living with HIV using an apriori algorithm

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月6日

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  • Jingxian Hu,
  • Jiayun Zhou,
  • Shuyu Han,
  • Yuhua Li,
  • Xin Xie,
  • Dongxia Wu,
  • Xiaolan Wang,
  • Huimin Guo,
  • Lili Zhang

摘要

Background

Although antiretroviral therapy has extended the lifespan of people living with HIV (PLWH), psychological symptoms are still prevalent. Given the complexity of psychological symptoms, effective interventions need to consider the interactions and associations of symptoms.

Aim

To explore psychological symptom association rule mining through Apriori algorithm analysis among PLWH in China.

Methods

This study was based on cross-sectional, multi-center, large sample data. From April 2022 to April 2023, we recruited 3040 participants with confirmed HIV-1 infections from six HIV sentinel hospitals in Beijing, Shanghai, Shenzhen, Nanning, Kunming, Baoshan and Jiaxing of China through convenience sampling to assess their psychological symptoms. The Apriori algorithm was employed to analyze the association rules among psychological symptoms in PLWH.

Results

26 of the 40 psychological symptoms entered into the association rules. We selected the top 126 association rules based on confidence. By visualizing the arrow directions of these association rules, three gradients were identified. Of the 40 symptoms, “ forgetting things that occurred recently ” and “ nervousness ” was the first gradient.

Limitations

The cross-sectional design can only describe the co-occurrence of psychological symptoms, lacking causal insights and needing longitudinal data.

Conclusions

Our findings highlight the interconnected nature of psychological symptoms among PLWH and underscore the need for prioritized, network-based interventions.

Clinical trial

Clinical trial number: not applicable.