Mindful attention as a mechanism underlying non-suicidal self-injury: evidence from a longitudinal intervention trial
Jian Li, Fengmin Ni, Yangyang Tao, Ya Xie, Enze Tang, Ziyan Wu, Minlu Liang, Pei Zhang, Marcus Rodriguez, Jan Glasenapp, Chunyan Yin, Jing Long, Yuan Liu, Yan Sun, Xianliang Wu, Guangya Liu, Xiaomei Jiang, Xianglan Wang, Hua Lv, Zhuowei Zhang, Suhong Wang, Zachary Rosenthal, Chun Wang · 2026
Read Mindful attention as a mechanism underlying non-suicidal self-injury: evidence from a longitudinal intervention trial by Jian Li, Fengmin Ni, Yangyang Tao, Ya Xie, Enze Tang, Ziyan Wu, Minlu Liang, Pei Zhang, Marcus Rodriguez, Jan Glasenapp, Chunyan Yin, Jing Long, Yuan Liu, Yan Sun, Xianliang Wu, Guangya Liu, Xiaomei Jiang, Xianglan Wang, Hua Lv, Zhuowei Zhang, Suhong Wang, Zachary Rosenthal, Chun Wang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13543648.txt.
Description
Jian Li's team analysed a randomised trial in 2026, testing how mindful attention helps people who harm themselves without suicidal intent. A total of 196 people took part in thirteen weeks of either dialectical behaviour therapy skills training or a social support group. Attention, emotion regulation, and self-injury frequency were tracked before and after, and path models traced the order in which changes emerged.
The skills group gained more on every measure. Attention gains, however, did not cut self-injury by itself. Instead, better mindful attention came first and predicted later gains in emotion regulation, which in turn brought fewer self-injury episodes. Attention is therefore an upstream lever: building it sets the improvement in motion. Treatments for self-injury, the authors suggest, should sequence attention training early rather than treat it as a side benefit.
Catalog record
| CREATOR | Jian Li, Fengmin Ni, Yangyang Tao, Ya Xie, Enze Tang, Ziyan Wu, Minlu Liang, Pei Zhang, Marcus Rodriguez, Jan Glasenapp, Chunyan Yin, Jing Long, Yuan Liu, Yan Sun, Xianliang Wu, Guangya Liu, Xiaomei Jiang, Xianglan Wang, Hua Lv, Zhuowei Zhang, Suhong Wang, Zachary Rosenthal, Chun Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33762 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |