πŸ‘€ Peiying Huang

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Also published as: Feiteng Huang, Zhi-xiang Huang, Chang X Huang, Tian Hao Huang, Yewei Huang, Hongyun Huang, Jianbing Huang, Chuanbing Huang, Chunying Huang, Yongyi Huang, Yu-Ting Huang, Huizhen Huang, De Huang, Emily C Huang, Tao Huang, Aijie Huang, Haozhang Huang, Zhi-Qiang Huang, Yu-Han Huang, Ying-Jung Huang, Jianfeng Huang, Haoyu Huang, Lvzhen Huang, Xinzhu Huang, Mengjie Huang, Shoucheng Huang, Shuo Huang, Miao Huang, Fangling Huang, Tseng-Yu Huang, Kangbo Huang, K Huang, Xingguo Huang, Lijun Huang, Shau-Ku Huang, Bowen Huang, Meihua Huang, Ning-Ping Huang, Qiubo Huang, Shushu Huang, Jiaqi Huang, Janice J Huang, Honghui Huang, Xiao-Yu Huang, Yuan-Li Huang, Enhao Huang, Hui-Kuang Huang, Shengyan Huang, Na Huang, Sijia Huang, Qiang Huang, Jinbao Huang, Shi-Shi Huang, Guohong Huang, Zhen Huang, Yangqing Huang, Xianwei Huang, Dongqin Huang, Mingjun Huang, Feng Huang, Wenxin Huang, Qingzhi Huang, Lijiang Huang, Baisong Huang, Zehua Huang, Wenqing Huang, Suli Huang, Ke Huang, Huizhe Huang, MengQian Huang, Mingwei Huang, Jingyong Huang, Hao Huang, Li Huang, Jun-Hua Huang, Z Huang, Songmei Huang, Bo Huang, Yen-Chu Huang, Yamei Huang, Wuqing Huang, Minxuan Huang, Junqi Huang, Chenshen Huang, Dan Huang, Lianggui Huang, Luyao Huang, Danqing Huang, Shih-Wei Huang, Fei Wan Huang, Leijuan Huang, Heqing Huang, Jingyue Huang, Yi-Jan Huang, Qingyu Huang, Huaju Huang, Zhican Huang, Jin-Yan Huang, Biao Huang, Jia Huang, Zhiyu Huang, Zhi-Ming Huang, Ya-Ru Huang, Xiuzhen Huang, See-Chang Huang, Shang-Ming Huang, Chi-Shuan Huang, Chih-Jen Huang, Yujie Huang, Lu Huang, Hanxia Huang, Wunan Huang, Lu-Jie Huang, Jianbiao Huang, Jiuhong Huang, Hongda Huang, Xiaojing Huang, Jinglong Huang, Yunmao Huang, Bao-Yi Huang, Jun Huang, Xiangming Huang, Sixiu Huang, Lige Huang, Linsheng Huang, Guodong Huang, Yumei Huang, Guang-Yun Huang, Wenya Huang, Wenqiao Huang, Jianlu Huang, Libin Huang, Hongyi Huang, Zichong Huang, Yanshan Huang, Y Joyce Huang, Min Huang, Chuan Huang, Hong Huang, Zirui Huang, Xuehong Huang, Jian-Dong Huang, Piaopiao Huang, Chih-Hsiang Huang, Zhi-Xin Huang, Yongjie Huang, Zhipeng Huang, Baoqin Huang, Weihua Huang, Yuhua Huang, Chunjian Huang, Yanyao Huang, Jianfang Huang, Xiaoyuan Huang, Chia-Wei Huang, Xiwen Huang, Zongjian Huang, Zhenfei Huang, Chiu-Ju Huang, Yuehong Huang, Xinyue Huang, Chengrui Huang, Zhiwei Huang, Qizhen Huang, Yingying Huang, Xiaoyu Huang, Xuewei Huang, F Huang, Yi-Wen Huang, Chun-Mei Huang, Xudong Huang, Juan Huang, Liming Huang, Jiangwei Huang, Xiongfeng Huang, Jinyan Huang, Cathelin Huang, Xichang Huang, Yu-Jie Huang, Yadong Huang, Ching-Shin Huang, Huanliang Huang, Xu-Feng Huang, Guanling Huang, Zhongcheng Huang, Jianmin Huang, Binfang Huang, Wentao Huang, Chung-Hsiung Huang, Yatian Huang, Shu-Qiong Huang, Tingxuan Huang, Way-Ren Huang, Xi Huang, Wei-Chi Huang, Quanfang Huang, Yilin Huang, Cuiyu Huang, Yixian Huang, Wenhua Huang, Y Huang, Lian Huang, Xiaoshuai Huang, Y S Huang, Yueye Huang, Yali Huang, Yongqi Huang, Tang-Hsiu Huang, Lining Huang, Yihao Huang, Serina Huang, Qing Huang, Te-Hsuan Huang, Junning Huang, Jianming Huang, Li-Wei Huang, Yabo Huang, Lan Huang, Liang Huang, Alden Y Huang, Jian Huang, Yinghua Huang, Tong Huang, Junjie Huang, Yuancheng Huang, Zheng-Xiang Huang, Ying Huang, Yue-Hua Huang, Fude Huang, Li-Jiang Huang, Zhengyang Huang, Chen-Na Huang, Zhicong Huang, Wenfang Huang, Yi-ping Huang, Congcong Huang, Yichuan Huang, Zhongfeng Huang, Huiling Huang, Manyun Huang, Ai-long Huang, Guanqun Huang, Guoxing Huang, Yuqiang Huang, Hongyang Huang, Dongni Huang, Xie-Lin Huang, Zihan Huang, Zongliang Huang, Jiajun Huang, Qun Huang, Jiangtao Huang, Huimin Huang, Chuying Huang, Shi-Ying Huang, Xinying Huang, Shuai Huang, Yen-Ning Huang, Yongye Huang, Yan Huang, Xiao-Ming Huang, Richard S P Huang, Qianqian Huang, Pang-Shuo Huang, Hongqiang Huang, Mingxuan Huang, Du-Juan Huang, Xiaojie Huang, Xueming Huang, Yanru Huang, Yanping Huang, Hongying Huang, Mingyuan Huang, Chaowang Huang, Paul L Huang, Chuanjiang Huang, Yanna Huang, Yong Huang, Zhouyang Huang, Ruizhen Huang, Xuhui Huang, Wenfeng Huang, Rui Huang, Yung-Hsin Huang, Kaipeng Huang, Chunling Huang, Dajun Huang, Chih-Ting Huang, Jinling Huang, Sinchun Huang, Yu-Ching Huang, Haoyue Huang, Yan-Ting Huang, Hailin Huang, Ruina Huang, Yanlong Huang, Junyun Huang, Lixiang Huang, Hsuan-Ying Huang, Donglan Huang, Kuiyuan Huang, Jingang Huang, Yao-Kuang Huang, Liqiong Huang, Peng-Fei Huang, Yuhong Huang, Benlin Huang, Xuanzhang Huang, Yichao Huang, Qingke Huang, Jinzhou Huang, Qiuru Huang, Jin-Feng Huang, Chunfan Huang, Hongyu Huang, X Huang, Qiaobing Huang, Kai Huang, Weifeng Huang, Fan Huang, Liping Huang, Jieping Huang, Xiao-Song Huang, Xinfeng Huang, Jingjing Huang, Shau Ku Huang, Weixue Huang, Yajiao Huang, Weijun Huang, Hsien-Da Huang, Kuo-Hsiang Huang, Haomin Huang, Richard Huang, Ya-Chih Huang, Renli Huang, Meina Huang, Zhenyi Huang, Jiaoti Huang, Yunyan Huang, Jingkun Huang, Qibin Huang, Zhiqi Huang, Pei Huang, Yunru Huang, Yajuan Huang, Liang-Yu Huang, Xiuyun Huang, Shanshan Huang, Juxiang Huang, Chaoyang Huang, Yumeng Huang, Fubiao Huang, Jiahui Huang, Xiaohong Huang, Huiqiao Huang, Ruby Yun-Ju Huang, Yuhui Huang, Chuanhong Huang, Shan Huang, Lizhen Huang, Songming Huang, Ning-Na Huang, Junyuan Huang, Laiqiang Huang, K N Huang, Shu-Wei Huang, Minyuan Huang, Yiping Huang, Lingling Huang, Xiaofei Huang, Tingting Huang, Luqi Huang, Xueqi Huang, Yufen Huang, Chih-Yang Huang, Fang Huang, Jingyuan Huang, Aimin Huang, Shu-ying Huang, Guanhong Huang, Yuan-Lan Huang, Xiaoxia Huang, Caoxin Huang, Zhiping Huang, Mingrui Huang, J V Huang, Taiqi Huang, Xiaofeng Huang, Po-Jung Huang, Huayun Huang, Yin-Tsen Huang, Zhao Huang, Xingxu Huang, Lei Huang, Linchen Huang, Shu-Pang Huang, An-Fang Huang, Furong Huang, Shaoxin Huang, Shengnan Huang, Yafang Huang, Zizhan Huang, Peng Huang, Chuanjun Huang, L-B Huang, Jiao-Qian Huang, Qingxing Huang, Jiayu Huang, Hy Huang, Da Huang, Xiaoli Huang, Mingyu Huang, Chia-Chang Huang, Yongbiao Huang, Yizhou Huang, Chi-Cheng Huang, Guoyong Huang, Zhitong Huang, Xiaojuan Huang, Ai-Chun Huang, Jiawen Huang, Zhaoxia Huang, Junhao Huang, Enping Huang, Wan-Ping Huang, Kuan-Chun Huang, Yung-Yu Huang, Ariane Huang, Xiuju Huang, Hongbiao Huang, Qing-yong Huang, Chun-Yin Huang, Chuansheng Huang, Haigang Huang, Yuanyuan Huang, Linjing Huang, Chunyao Huang, Weiwei Huang, Limin Huang, Lijuan Huang, Sihua Huang, Zheng Huang, Heming Huang, Yuyang Huang, Ya-Fang Huang, Ritai Huang, Qingling Huang, Yun-Juan Huang, Hsing-Yen Huang, Zuxian Huang, Fengxian Huang, Ziheng Huang, Guangrui Huang, Youheng Huang, Pei-Chi Huang, Xuan Huang, Weibin Huang, Erya Huang, Jing Huang, Xianxian Huang, Yaowei Huang, Shaojun Huang, Xiaowen Huang, Dongmei Huang, Huixian Huang, Yang Huang, Sung-Ying Huang, Yu-Shu Huang, Riqing Huang, Yufang Huang, Melissa Y Huang, Caiyun Huang, Zhengxian Huang, Qingsong Huang, Xin Huang, Zunnan Huang, Chiun-Sheng Huang, Lanlan Huang, Qin Huang, Xinwen Huang, Xiaohua Huang, Ke-Pu Huang, Z Z Huang, Lixue Huang, Yani Huang, Chong Huang, Minqi Huang, Yikeng Huang, Ching-Tang Huang, Xiayang Huang, Zhiqin Huang, Sisi Huang, Guangjian Huang, Chang Ming Huang, Jianzhen Huang, Mao-Mao Huang, Wenjie Huang, Yingzhi Huang, Shungen Huang, Yuanyu Huang, Lihua Huang, Qiumin Huang, Manning Y Huang, Suwen Huang, Junming Huang, Yuping Huang, Chunxia Huang, Xingming Huang, Hefeng Huang, Wen Huang, Jiayue Huang, Xuxiong Huang, Ninghao Huang, Shih-Chiang Huang, Jin-Di Huang, Xuliang Huang, Jinghan Huang, Shu-Pin Huang, Shanhe Huang, Feiruo Huang, Shaoze Huang, Chunkai Huang, Catherine Huang, Yuxian Huang, Chin-Chou Huang, Yuting Huang, Xiang Huang, Yifan Huang, Yihong Huang, Yu-Chyi Huang, Xuezhe Huang, Shihao Huang, Guoqian Huang, Meng-Fan Huang, Han-Chang Huang, Zhixiang Huang, Yu-Chu Huang, Zhiqing Huang, Z-Y Huang, Dengjun Huang, Xianping Huang, Bingkun Huang, Rongjie Huang, Tingyun Huang, Zhiying Huang, Gao-Zhong Huang, Jinxing Huang, Yun Huang, Chun-Yao Huang, Jianhua Huang, Yuying Huang, Shuwen Huang, Zhifang Huang, Hete Huang, Tianpu Huang, Xuejie Huang, Haiyan Huang, Wenji Huang, Lu-Qi Huang, Qingqing Huang, Aohuan Huang, Can Huang, Chunhong Huang, Christine S Huang, Yuanshuai Huang, Haimiao Huang, Ying-Hsuan Huang, Ruiyan Huang, Saisai Huang, Qingjiang Huang, Zhengwei Huang, Xinyi Huang, Xianxi Huang, Shuang Huang, Shiya Huang, Hsuan-Cheng Huang, Chengcheng Huang, Yongtong Huang, Yeqing Huang, Dejia Huang, Jiaotian Huang, Jucun Huang, Steven Huang, Jiaxing Huang, Chen-Ping Huang, Susan M Huang, Yanyan Huang, Jinfang Huang, Menghao Huang, Xuejun Huang, Chunyu Huang, Shiying Huang, Lili Huang, Haochu Huang, Zhigang Huang, S Huang, Guicheng Huang, Xianglong Huang, Pingping Huang, Huibin Huang, G Huang, Yueh-Hsiang Huang, Chao-Yuan Huang, Nongyu Huang, Sidong Huang, Zhenrui Huang, Dishu Huang, Ailong Huang, H S Huang, Yi-Jia Huang, Yu-Ren Huang, Xianghua Huang, Huixin Huang, Yang Zhong Huang, Yue Huang, Ching-Shan Huang, Ronghua Huang, Ruihua Huang, Bao-Hua Huang, Shi-Feng Huang, Yunpeng Huang, Li-Ping Huang, S Y Huang, Yi-Chun Huang, Zhiyong Huang, Yuan-Lu Huang, Junhua Huang, Fu-Chen Huang, Youyang Huang, Xiaoyan Huang, Hu Huang, I-Chieh Huang, Nianyuan Huang, Pan Huang, Qiuyin Huang, Qi-Tao Huang, Hui Huang, Po-Hsun Huang, Yiquan Huang, Ling-Jin Huang, Zini Huang, Longfei Huang, Bingcang Huang, Ge Huang, Tieqiu Huang, Ling-Chun Huang, Dongsheng Huang, Robert J Huang, Yuezhen Huang, Yao Huang, Heguang Huang, Xue-Ying Huang, Guangming Huang, Bevan E Huang, Pei-Ying Huang, Rong Huang, Wei Huang, Zi-Xin Huang, Qiong Huang, Qinlou Huang, Franklin W Huang, Wenshan Huang, Chien-Hsun Huang, Wenbin Huang, Ling Huang, Junwen Huang, Chin-Chang Huang, Li-Hao Huang, Luyang Huang, Jiechun Huang, Song-Mei Huang, Yen-Tsung Huang, Zhiqiang Huang, Tiantian Huang, Yusi Huang, Xiao-Fei Huang, Ying-Zhi Huang, Shengjie Huang, Hai Huang, Shenan Huang, Shilu Huang, Chuiguo Huang, Xian-sheng HUANG, Chaolin Huang, Jing-Fei Huang, Kang Huang, Jia-Jia Huang, Sheng-He Huang, Hongyan Huang, Ziling Huang, Li-Rung Huang, Kui-Yuan Huang, Tse-Shun Huang, Xingqin Huang, Ye Huang, Chuxin Huang, R H Huang, Chaoqun Huang, Xionggao Huang, Shengyun Huang, Guangqian Huang, Zhihong Huang, Xiaoman Huang, Song Bin Huang, Dongqing Huang, Fengyu Huang, Dane Huang, Ming-Shyan Huang, Rongrong Huang, Weiqi Huang, Baoying Huang, Yanqun Huang, Guoyuan Huang, Ya-Dong Huang, Guoying Huang, Runyue Huang, C Y Huang, Fuhao Huang, Chao Huang, Cheng Huang, Ruijin Huang, Hongou Huang, Tony T Huang, Zhongbin Huang, Luanluan Huang, Yongsheng Huang, Boyue Huang, Tinghua Huang, Chunyi Huang, Tingqin Huang, Jiaan Huang, Huifen Huang, Fei Huang, Haihong Huang, Xiaozhun Huang, Jiana Huang, Kate Huang, Qidi Huang, Yanxia Huang, Zhilong Huang, Tongtong Huang, Tengda Huang, Katherine Huang, Bin Huang, Yanjun Huang, Yong-Fu Huang, Shijing Huang, Jin-Hong Huang, Si-Yang Huang, Jeffrey K Huang, Ju Huang, Chunshuai Huang, Zengwen Huang, Yunchao Huang, Yansheng Huang, Ting Huang, Meng-Na Huang, Xiao-Yan Huang, Mengjun Huang, Tingping Huang, Yan-Qing Huang, Huiyan Huang, Yanhao Huang, Gang Huang, Zhang Huang, Chiu-Jung Huang, N Huang, Lixuan Huang, De-Jun Huang, Yishan Huang, Yuanpeng Huang, Bi Huang, Chieh-Liang Huang, Ming-Lu Huang, Yongzhen Huang, Chang-Jen Huang, XiaoFang Huang, Yangyang Huang, Xiaolin Huang, Bizhi Huang, Mengnan Huang, Xiao-Yong Huang, Steven Kuan-Hua Huang, Xu Huang, Chieh-Cheng Huang, Yu-Fang Huang, He Huang, Jieling Huang, Yongcan Huang, Kun Huang, Li-Jun Huang, Jinshu Huang, Chih-Chun Huang, Shutong Huang, Annie Huang, Wen-yu Huang, Xiaowu Huang, Fu-Mei Huang, Dianhua Huang, Yutong Huang, Benjamin J Huang, Gaoxingyu Huang, Yuqi Huang, Chunlan Huang, Mingjian Huang, Zuotian Huang, Huina Huang, Huapin Huang, Shu Huang, Rong Stephanie Huang, Zi-Ye Huang, Canhua Huang, Xiaoyun Huang, David J Huang, Guanrong Huang, Tim H Huang, Guanning Huang, Piao-Piao Huang, Zuyi Huang, Renbin Huang, Chenxiao Huang, Dong Huang, Zhe Huang, Huan Huang, Qiuming Huang, Wenqiong Huang, Chongbiao Huang, Qingxia Huang, Renhua Huang, Jin Huang, Shih-Yi Huang, Ronghui Huang, M C Huang, Jingtao Huang, Xianqing Huang, Pin-Rui Huang, Ran Huang, Jinlu Huang, Jie Huang, Xiao Huang, Bor-Ren Huang, Xiao-Fang Huang, Sen Huang, Xin-Di Huang, Yiwei Huang, Xiaoqing Huang, Zhenlin Huang, Changjiang Huang, Yuh-Chin T Huang, Zicheng Huang, Hao-Fei Huang, Eric Huang, X F Huang, Zeling Huang, Hsi-Yuan Huang, Xiaoying Huang, Jie Qi Huang, Guowei Huang, Gairong Huang, Huiyu Huang, Weicheng Huang, Hui-Yu Huang, Yanqin Huang, Ching-Wei Huang, Kuo-Hung Huang, Yan-Lin Huang, L Huang, Jieli Huang, Jasmin Huang, Bing Huang, Kevin Huang, Weizhen Huang, Jiajin Huang, Xingru Huang, Chao Wei Huang, Hongfeng Huang, Xuemei Huang, Ke-Ke Huang, Tsung-Wei Huang, Xiansheng Huang, Zhenyao Huang, Zebin Huang, Caihong Huang, Dongyu Huang, Tzu-Rung Huang, Meng-Chuan Huang, Yating Huang, Shiang-Suo Huang, Haobo Huang, Huanhuan Huang, Tengfei Huang, Xucong Huang, Yuqiong Huang, Yicong Huang, Lin Huang, Shiyun Huang, Yujia Huang, Yuxuan Huang, Bo-Shih Huang, Ping Huang, Hongcan Huang, Hengbin Huang, Yuxin Huang, Xue-shuang Huang, Yu-Chuen Huang, Zebo Huang, Xiaomin Huang, Ruo-Hui Huang, David Huang, Xianying Huang, Zhonglu Huang, Minglei Huang, Mengzhen Huang, Hua Huang, Meixiang Huang, Haozhong Huang, Yechao Huang, Chun Huang, S Z Huang, Tongsheng Huang, Zhilin Huang, Wenjun Huang, Poyao Huang, Rongxiang Huang, Huafei Huang, Wenda Huang, Linxue Huang, Zhi Huang, Pintong Huang, Xiaolan Huang, Lijia Huang, Hongfei Huang, Li-Yun Huang, Mengting Huang, Li-Juan Huang, Pengyu Huang, Ru-Ting Huang, Jiansheng Huang, Zhengxiang Huang, Shengfeng Huang, Chen Huang, Lixia Huang, Shixia Huang, Yutang Huang, Xianzhang Huang, Yingzhen Huang, Xun Huang, Songqian Huang, Liangchong Huang, Baihai Huang, Yu-Lei Huang, Xinen Huang, Qian Huang, Man Huang, Jiyu Huang, Xingya Huang, Tianhao Huang, Jiangfeng Huang, Zihao Huang, Feizhou Huang, Dantong Huang, Yu Huang, Huashan Huang, Yin Huang, Jinhua Huang, Jingxian Huang, Shichao Huang, Yuan Huang, Weisu Huang, Qiuyue Huang, Jun-You Huang, Hsu Chih Huang, San-Yuan Huang, Linyuan Huang, Wenying Huang, Mia L Huang, Nian Huang, Xuejing Huang, Fang-Ling Huang, Yiheng Huang, Qi Huang, Kevin Y Huang, H Huang, Xiaochun Huang, Rae-Chi Huang, Xingzhen Huang, Minjun Huang, Yi Huang, Yuejun Huang, Mei Huang, Yuguang Huang, Guoping Huang, R Stephanie Huang, Yuedi Huang, Hui-Huang Huang, Haixin Huang, Shu-Yi Huang, Zhifeng Huang, Chao-Wei Huang, Helen Huang, Guang-Jian Huang, Yulin Huang, Yanqing Huang
articles
Shuiyang Xu, Yunfang Zhou, Mingyu Huang +8 more Β· 2025 Β· Frontiers in public health Β· Frontiers Β· added 2026-04-24
Health literacy plays an important role in disease prevention and control. The aim of this study is to explore the health literacy patterns and associated factors among residents in Zhejiang Province. Show more
Health literacy plays an important role in disease prevention and control. The aim of this study is to explore the health literacy patterns and associated factors among residents in Zhejiang Province. This study included 56,863 residents aged 15-69 years from the 2024 Zhejiang Province Health Literacy Survey. Latent Profile Analysis (LPA) was used to investigate health literacy patterns, and multinomial logistic regression analysis was employed to identify associated factors. Dominance analysis was performed to compare the relative contribution of the main variables associated with health literacy. The analysis identified three distinct health literacy profiles: low literacy (15.13%), moderate literacy (32.24%), and relatively high literacy (52.63%). The low literacy group was characterized by an older demographic (with an average age of 58.71 years), lower educational attainment (20.72% had no formal education), a higher proportion of farmers (52.93%), and a significant share of low-income individuals (40.98%). Multinomial logistic regression and dominance analysis revealed that education level, age, and occupation were the most important associated factors of health literacy. The study findings highlighted the heterogeneity in health literacy among various population groups and emphasized the need for targeted interventions. This study provides empirical evidence to inform precision health promotion strategies in developed regions of China. Show less
πŸ“„ PDF DOI: 10.3389/fpubh.2025.1734757
LPA
Yuan Tian, Zhe Jia, Na Li +5 more Β· 2025 Β· Frontiers in psychology Β· Frontiers Β· added 2026-04-24
Psychological empowerment is a critical factor for employee work well-being, particularly within high-stress professions such as policing. However, experiences of empowerment among individuals are not Show more
Psychological empowerment is a critical factor for employee work well-being, particularly within high-stress professions such as policing. However, experiences of empowerment among individuals are not uniform. This study aims to identify distinct profiles of psychological empowerment among police officers and to examine their associations with perceived coworker support and work well-being. A person-centered approach was adopted. Data were collected from 505 Chinese police officers. Latent Profile Analysis (LPA) was employed to identify subgroups based on their psychological empowerment patterns. The analysis revealed two distinct profiles: a "Globally Disempowered" profile and a "Globally Empowered" profile. Perceived emotional support from coworkers was a significant predictor of profile membership, where higher levels of support increased the likelihood of belonging to the empowered group. Furthermore, officers in the high empowerment profile reported significantly greater work well-being compared to those in the low empowerment profile. The findings underscore the heterogeneity in psychological empowerment experiences within the policing context. They emphasize the pivotal role of fostering emotional peer support as a means to enhance officers' psychological empowerment and, consequently, their work well-being. Practical implications for organizational interventions are discussed. Show less
πŸ“„ PDF DOI: 10.3389/fpsyg.2025.1694664
LPA
Huatao Zheng, Dan Li, Rentao Ma +3 more Β· 2025 Β· Frontiers in public health Β· Frontiers Β· added 2026-04-24
With the aging population in China, research on preventing frailty is crucial. This study aims to investigate the independent and combined associations of the Dietary inflammatory index (DII) and phys Show more
With the aging population in China, research on preventing frailty is crucial. This study aims to investigate the independent and combined associations of the Dietary inflammatory index (DII) and physical activity (PA) with frailty among Chinese older adults. A total of 285 participants aged β‰₯60β€―years with 87 males and 186 females were recruited from Hunan Province. Daily moderate physical activity (MPA), vigorous physical activity (VPA) and light physical activity (LPA) were objectively measured using a triaxial accelerometer. A Food Frequency Questionnaire 25 (FFQ25) was used to assess the participants' dietary patterns, and DII was calculated. Six combined exposure groups were formed based on PA and DII: pro-inflammatory diet and insufficient PA group, neutral diet and insufficient PA group, anti-inflammatory diet and insufficient PA group, pro-inflammatory diet and sufficient PA group, neutral diet and sufficient PA group, and anti-inflammatory diet and sufficient PA group. Frailty was assessed using the Frailty Phenotype (FP), logistic regression analyzed the associations between dietary patterns, PA, and frailty. A total of 285 older adults participants were initially recruited, but 12 were excluded due to missing data. Consequently, 273 participants were included in the final analysis. Compared to individuals with insufficient PA, those with sufficient PA were associated with significantly lower odds of frailty (ORβ€―=β€―0.468, 95%CIβ€―=β€―0.242-0.907). Participants following an anti-inflammatory diet had significantly lower odds of frailty compared with those following a pro-inflammatory diet (ORβ€―=β€―0.467, 95%CIβ€―=β€―0.221-0.988). In the combined groups, frailty prevalence was significantly lower the group with anti-inflammatory diet and sufficient PA group (ORβ€―=β€―0.204, 95%CIβ€―=β€―0.072-0.583), compared with pro-inflammatory diet and insufficient PA group. The sensitivity analysis showed that the associations between anti-inflammatory diet and sufficient PA with frailty remained statistically significant, with the direction of the associations unchanged. These findings suggest that the results are robust. Our study indicates that adhering to an anti-inflammatory diet and maintaining sufficient PA may be associated with a lower likelihood of frailty. Achieving an adequate amount of PA and following a healthy dietary pattern may serve as potential preventive measures against frailty. Show less
πŸ“„ PDF DOI: 10.3389/fpubh.2025.1739530
LPA
Fengwen Yue, Liping Liu, Qingjiang Huang +3 more Β· 2025 Β· Frontiers in public health Β· Frontiers Β· added 2026-04-24
Prior research has consistently demonstrated that higher levels of digital health literacy contribute positively to improved mental health outcomes and overall quality of life among patients. Neverthe Show more
Prior research has consistently demonstrated that higher levels of digital health literacy contribute positively to improved mental health outcomes and overall quality of life among patients. Nevertheless, the interplay between digital health literacy and the experience of perceived stigma-particularly among burn patients-remains underexplored, and the potential heterogeneity within this relationship has not been adequately addressed. This cross-sectional study, conducted from June to July 2025, recruited 534 burn patients (mean age 31.05β€―Β±β€―9.52β€―years; 61.0% male) from three tertiary hospitals in Sichuan Province, China. Participants completed validated scales assessing digital health literacy, social support, appearance anxiety, perceived stigma, and demographics. Data were analyzed using Pearson correlations, latent profile analysis (LPA) with fit indices, univariate analyses (chi-square tests and Digital health literacy was negatively correlated with perceived stigma ( This study confirms heterogeneity in digital health literacy and perceived stigma among burn patients, with social support and appearance anxiety as key influencers. Findings support targeted interventions to enhance digital health literacy and reduce perceived stigma, advancing precision psychological care for burn survivors. Show less
πŸ“„ PDF DOI: 10.3389/fpubh.2025.1702458
LPA
Jing Li, Yingli Luo, Zaihao Wu +2 more Β· 2025 Β· Frontiers in psychology Β· Frontiers Β· added 2026-04-24
The present study aimed to clarify heterogeneity in music performance anxiety (MPA) by identifying latent profiles, examining sociodemographic and psychological predictors of profile membership, and t Show more
The present study aimed to clarify heterogeneity in music performance anxiety (MPA) by identifying latent profiles, examining sociodemographic and psychological predictors of profile membership, and testing mediation pathways. A total of 819 Chinese musicians participated in an online survey that assessed MPA, performance worry (PW), and perceived memory reliability (PMR), along with demographic variables. Latent profile analysis (LPA) revealed a three-profile solution that distinguished low, moderate, and high MPA groups. Multinomial logistic regression indicated that older age, higher education levels, lower household income, and unstable employment were significantly associated with membership in the moderate and high MPA profiles. In addition, PW emerged as a significant psychological predictor of elevated MPA, whereas PMR showed a protective effect and was negatively associated with MPA. Mediation models further demonstrated that PW played an important role in transmitting the effect of PMR on MPA, suggesting that cognitive factors related to memory reliability shape worry processes, which, in turn, intensify performance anxiety. These findings advance understanding of MPA by demonstrating that Chinese musicians can be meaningfully categorized into distinct risk groups, each shaped by sociodemographic vulnerabilities and cognitive-emotional pathways. From a practical perspective, the results highlight the importance of targeted prevention and intervention strategies that address both memory-related cognitions and performance worry in order to reduce MPA in vulnerable populations. Show less
πŸ“„ PDF DOI: 10.3389/fpsyg.2025.1724226
LPA
Jia Zhang, Song Bin Huang, Dan Ni Peng +3 more Β· 2025 Β· Frontiers in psychology Β· Frontiers Β· added 2026-04-24
This study aimed to identify heterogeneous patterns of medical coping modes (MCM) and to examine the moderating role of social support in the relationship between these patterns and social disability Show more
This study aimed to identify heterogeneous patterns of medical coping modes (MCM) and to examine the moderating role of social support in the relationship between these patterns and social disability in young and middle-aged patients after percutaneous coronary intervention (PCI). A cross-sectional study was conducted among 129 post-PCI patients from a single center in China. Participants completed the Medical Coping Modes Questionnaire (MCMQ), the Social Support Rating Scale (SSRS), and the Social Disability Screening Schedule (SDSS). Latent profile analysis (LPA) was used to identify distinct coping patterns. The moderation effect of social support was tested using the Johnson-Neyman technique. Two distinct coping profiles were identified via LPA: "Adaptive Copers" (55.1%), characterized by higher confrontation and lower avoidance/resignation, and "Maladaptive Copers" (44.9%), showing the opposite pattern. A counterintuitive finding emerged, with the Maladaptive Copers reporting significantly lower social disability scores. Furthermore, beyond this profile differentiation, social support demonstrated a significant U-shaped moderating effect in the coping-disability relationship. Its moderating role was statistically significant only at very low (<39.884) and very high (>52.924) levels of support. This study reveals two key findings: first, post-PCI patients are heterogeneous in coping, comprising adaptive and maladaptive subgroups; second, the impact of these coping styles on social disability is non-linearly moderated by social support. Clinicians should assess both coping profiles and social support levels to tailor interventions effectively. Show less
πŸ“„ PDF DOI: 10.3389/fpsyg.2025.1731898
LPA
Yuchen Wang, Qiong Sun, Menachem Hanani +15 more Β· 2025 Β· Journal of translational medicine Β· BioMed Central Β· added 2026-04-24
Demyelination diseases are characterized by injury to large (A-type) myelinated nerve fibers, and by secondary damage to small (C-type) sensory fibers, which leads to chronic pain symptoms, such as al Show more
Demyelination diseases are characterized by injury to large (A-type) myelinated nerve fibers, and by secondary damage to small (C-type) sensory fibers, which leads to chronic pain symptoms, such as allodynia. The mechanisms underlying the interactions between the two fiber types are not clear. This study aims to investigate the role of lysophosphatidic acid (LPA) signaling in satellite glial cells (SGCs) within the dorsal root ganglia (DRG) in demyelination-induced chronic pain. A demyelination model was established by injecting cobra venom into the tibial nerve of 8-10-week-old Sprague-Dawley rats to selectively damage A-fiber myelin. Myelin morphology was observed via transmission electron microscopy (TEM) at 1, 3, 7, and 14 days post-injection. Pain behaviors (mechanical hypersensitivity, thermal hyperalgesia, and spontaneous pain) were assessed to evaluate progression. In vivo electrophysiology was performed to analyze sensory conduction and excitability changes in A- and C-type neurons. Immunofluorescence staining assessed SGC activation, LPA1 receptor (LPA1R) expression, and connexin 43 (Cx43) dynamics in the L4 DRG over time. Pharmacological interventions targeting LPA1R and SGC activation were applied to evaluate their effects on pain behaviors, cytokine release, and neuronal excitability using RT-PCR, ELISA, and spinal electrophysiology. Cobra venom induced a selective A-fiber demyelination and persistent pain in rats. It also upregulated the expression of LPA1R on SGCs that surround large DRG neurons, which normally mediate non-noxious input, and increased gap junction-mediated coupling via Cx43, leading to the activation of SGCs surrounding small nociceptive neurons. The activated SGCs released inflammatory mediators that increased nociceptive neuron excitability, driving chronic pain. In support of these results, pharmacological inhibition of LPA1R-mediated SGCs activation reversed this process. Our study demonstrates that LPA-LPA1R signaling in SGCs drives A-fiber demyelination-induced neuropathic pain by promoting Cx43-mediated SGC-neuron crosstalk and cytokine release. Targeting this pathway may represent a promising strategy to alleviate demyelination-associated chronic pain. Show less
πŸ“„ PDF DOI: 10.1186/s12967-025-07568-y
LPA
Bin Chen, Jing Yang, Wenying Huang +3 more Β· 2025 Β· Frontiers in psychology Β· Frontiers Β· added 2026-04-24
This study aimed to elucidate the psychological mechanisms underlying the relationship between alexithymia and problematic eating behaviors (EB) among older adults. Specifically, we examined whether p Show more
This study aimed to elucidate the psychological mechanisms underlying the relationship between alexithymia and problematic eating behaviors (EB) among older adults. Specifically, we examined whether physical activity (PA) mediated this association, and we further explored the heterogeneity of alexithymia using Latent Profile Analysis (LPA). A cross-sectional survey was conducted among 1,773 community-dwelling older adults in China. Participants completed validated questionnaires assessing alexithymia, PA, and EB. Mediation analysis tested the indirect effect of PA on the alexithymia-EB relationship, while LPA identified subgroups of individuals with distinct alexithymia profiles. Mediation analysis revealed that PA significantly mediated the relationship between alexithymia and maladaptive EB, accounting for 18% of the total effect. LPA supported a three-profile solution: pervasive alexithymia (21.15%), adaptive (72.81%), and affective-cognitive dissociation (6.04%). Profile membership was differentially associated with health behaviors, with the pervasive group showing the most unfavorable outcomes (high EB, low PA), and the adaptive group demonstrating the most favorable pattern. These findings highlight PA as a key behavioral pathway through which alexithymia contributes to maladaptive eating in older adults. Moreover, alexithymia is not uniform but heterogeneous, with distinct profiles that confer varied health behavior risks. Interventions to improve eating habits in elderly populations may benefit from tailoring strategies to alexithymia subtypes and systematically promoting PA as an adaptive regulatory mechanism. Show less
πŸ“„ PDF DOI: 10.3389/fpsyg.2025.1701168
LPA
Yuqing Yuan, Jing Yang, Wenying Huang +3 more Β· 2025 Β· Frontiers in psychology Β· Frontiers Β· added 2026-04-24
Anxiety is significantly correlated with levels of physical activity in university students. This research assessed the effects of anxiety on engagement in physical activity and explored the potential Show more
Anxiety is significantly correlated with levels of physical activity in university students. This research assessed the effects of anxiety on engagement in physical activity and explored the potential mediating function of psychological resilience. Additionally, latent profile analysis (LPA) was employed to identify distinct subtypes based on anxiety and resilience levels, and to explore their associations with physical activity. Utilizing a non-probability convenience sampling approach, this cross-sectional study recruited a total of 1,436 collegiate participants from multiple universities. Data collection was carried out with the Generalized Anxiety Disorder Scale (GAD-7), the abbreviated Connor-Davidson Resilience Scale (CD-RISC-10), and the Physical Activity Rating Scale (PARS-3). Data analysis included mediation effect analysis via Bootstrap methods (Model 4) and latent profile analysis (LPA). Anxiety demonstrated a significant negative association with physical activity ( Results demonstrated that anxiety affects physical activity both directly and indirectly, with the latter effect occurring through the channel of psychological resilience. Latent profile analysis identified three distinct profiles among college students based on anxiety and psychological resilience: High Anxiety-Low Psychological Resilience, Moderate Anxiety-Moderate Psychological Resilience, and Low Anxiety-High Psychological Resilience. Marked variations in physical activity levels were observed among these subgroups. The results underscore the complex relationships among mental health indicators and health behaviors within the collegiate population. The delineation of distinct profiles offers practical implications for designing tailored intervention strategies. Show less
πŸ“„ PDF DOI: 10.3389/fpsyg.2025.1694344
LPA
Xinyi Chen, Wenying Huang, Chang Hu Β· 2025 Β· Frontiers in sports and active living Β· Frontiers Β· added 2026-04-24
This study employed a person-centered Latent Profile Analysis (LPA) to explore adolescents' perceived teacher-student and friendship relationships in the school environment and to examine their associ Show more
This study employed a person-centered Latent Profile Analysis (LPA) to explore adolescents' perceived teacher-student and friendship relationships in the school environment and to examine their association with interest in physical education. A survey was conducted among 3,613 adolescents using the Teacher-Student Relationship Scale, the Friendship Quality Scale, and the Interest in Physical Education Scale. LPA was applied to identify relationship quality profiles, and multinomial logistic regression was used to examine gender differences and associations with interest in physical education. Three profiles emerged from the LPA: the Low Relationship Quality profile (23%, Adolescents exhibit heterogeneous experiences of teacher-student and friendship relationship quality, which were significantly associated with differences in interest in physical education. By applying a person-centered approach, the study extends prior research by showing that teacher-student and friendship contexts are linked to adolescents' interest in physical education, underscoring the importance of considering interest as a distinct outcome in relational research. Show less
πŸ“„ PDF DOI: 10.3389/fspor.2025.1677083
LPA
Nicholas A Han, Philip D Tolley, Jing Huang +9 more Β· 2025 Β· The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association Β· SAGE Publications Β· added 2026-04-24
ObjectiveTo describe characteristic CLEFT-Q response profiles and patterns in patients with cleft palate and/or lip (CP ± L).DesignRetrospective analysis using latent profile analysis (LPA) to categor Show more
ObjectiveTo describe characteristic CLEFT-Q response profiles and patterns in patients with cleft palate and/or lip (CP ± L).DesignRetrospective analysis using latent profile analysis (LPA) to categorize patient-reported outcome responses into distinct profiles.SettingTertiary care pediatric hospital with multidisciplinary cleft team.Patients, ParticipantsPatients aged 8-29 years with CP ± L completing CLEFT-Q questionnaires from September 2021 to June 2025 ( Show less
no PDF DOI: 10.1177/10556656251396633
LPA
Geng-Hao Liu, Yueh-Hsiang Huang, Tzu-Chiao Yuan +9 more Β· 2025 Β· JMIR aging Β· added 2026-04-24
Cognitive decline is a common aspect of aging, and identifying modifiable lifestyle factors, such as physical activity and sleep, is crucial for promoting healthy brain aging. While both are individua Show more
Cognitive decline is a common aspect of aging, and identifying modifiable lifestyle factors, such as physical activity and sleep, is crucial for promoting healthy brain aging. While both are individually linked to cognition, few studies have simultaneously assessed their independent and combined effects using objective wearable-based data, particularly in older Asian populations. This study aimed to examine the independent and interactive effects of wearable-assessed sleep and physical activity parameters on memory performance in healthy older adults. We also explored whether age and hippocampal volume moderated these associations. This prospective cross-sectional analysis included 88 cognitively healthy community-dwelling adults (β‰₯60 years of age) from the Integrating Systematic Data of Geriatric Medicine to Explore the Solution for Healthy Aging cohort in Taiwan. Participants underwent 12-day wrist-worn actigraphy, brain magnetic resonance imaging, and neuropsychological assessments. Light-intensity physical activity (LPA) and wake after sleep onset (WASO) were selected based on age-adjusted partial correlations with Consortium to Establish a Registry for Alzheimer's Disease Neuropsychological Battery memory scores. Multivariate regressions, age-stratified models (cutoff=72 years), and PROCESS moderation and mediation analyses were conducted, adjusting for age, education, daytime sleepiness, and hippocampal volume. Partial correlation analyses adjusting for age showed that higher LPA (r=0.260; P=.02) and lower WASO (r=-0.251; P=.02) were significantly associated with better memory scores. Age significantly moderated both effects: LPA was beneficial beyond 73.8 years of age, and WASO was detrimental beyond 71.1 years of age. Multivariate regression models confirmed that both WASO (Ξ²=-.044; P=.04) and LPA (Ξ²=.042; P=.01) were significant predictors of memory. In subgroup analyses (age β‰₯72 years), both LPA (Ξ²=.054; P=.04) and WASO (Ξ²=-.111; P=.01) remained significant predictors. Moderated mediation analyses showed that WASO was associated with reduced LPA (Ξ²=-.325; P=.03), but the indirect effect on memory via LPA was not significant. Instead, WASO exerted a direct and age-moderated effect on memory performance. Hippocampal volume moderated both associations, supporting the brain reserve hypothesis. Our findings highlight WASO and LPA, as measured by wearable devices, as modifiable behavioral factors linked to memory function in older adults. The impact of these factors intensifies with advancing age and may be influenced by hippocampal reserve. Promoting daily light physical activity and maintaining sleep continuity may serve as accessible, age-tailored strategies for preserving cognitive health in aging populations. ClinicalTrials.gov NCT04207502; https://classic.clinicaltrials.gov/ct2/show/NCT04207502. Show less
πŸ“„ PDF DOI: 10.2196/80584
LPA
Ying Huang, Jialin Wang, Wanying Ni +5 more Β· 2025 Β· Journal of advanced nursing Β· Blackwell Publishing Β· added 2026-04-24
The study aimed to characterise presenteeism among nurses and identify nurses' presenteeism associated with distinct latent profiles. This study employed a cross-sectional descriptive approach. From J Show more
The study aimed to characterise presenteeism among nurses and identify nurses' presenteeism associated with distinct latent profiles. This study employed a cross-sectional descriptive approach. From July to December 2024, data were collected from 404 Chinese clinical nurses across four tertiary hospitals in Sichuan Province, Southwest China, using demographic questionnaires, the Stanford Presenteeism Scale (SPS-6), and the Challenge- and Hindrance-Related Self-Reported Stress Scale (C-HSS). A latent profile analysis was conducted on SPS-6 scores using Mplus 8.3, followed by univariate analyses to compare characteristics across subgroups. The total mean score of nurses' presenteeism is (16.13 ± 4.46), with approximately 59.4% classified as having a high level of presenteeism. Four latent profiles of nurses' presenteeism were identified through LPA: low fatigue-low work constraint (19.8%), low fatigue-high work constraint (33.9%), high fatigue-low work constraint (18.8%), and high fatigue-high work constraint (27.5%). Nurses demonstrated moderately severe presenteeism, with LPA revealing four distinct phenotypes characterised by divergent fatigue- work constraint configurations. This heterogeneity underscores the need for stratified interventions addressing unique risk profiles across subgroups. Administrators should adopt targeted interventions according to the characteristics of nurses in different profiles to minimise nurses' loss of productivity. This study addresses the evidence gap regarding the significant heterogeneity of presenteeism among nurses and the lack of precise identification, and identifies four distinct latent profiles of presenteeism. The findings provide critical evidence for nursing managers to design and implement differentiated intervention strategies tailored to groups with different risk characteristics. The study followed the STROBE guideline. This study did not include patient or public involvement in its design, conduct or reporting. Show less
no PDF DOI: 10.1111/jan.70375
LPA
Yuanyuan Li, Qiaolin Yu, Rong Yao +11 more Β· 2025 Β· Patient preference and adherence Β· added 2026-04-24
The treatment of multidrug-resistant tuberculosis (MDR-TB) is characterized by a prolonged duration and complex medication regimens, often resulting in a substantial medication-related burden that neg Show more
The treatment of multidrug-resistant tuberculosis (MDR-TB) is characterized by a prolonged duration and complex medication regimens, often resulting in a substantial medication-related burden that negatively impacts patients' adherence and quality of life. However, research on the heterogeneity of medication-related burden among MDR-TB patients and its influencing factors remains limited. This study aimed to identify latent profiles of medication-related burden among MDR-TB patients and examine differences in burden characteristics across these profiles, thereby providing evidence for tailored intervention strategies. A convenience sampling method was employed to recruit MDR-TB patients diagnosed at a tertiary infectious disease hospital in Chengdu between December 2024 and May 2025. Data were collected using a general information questionnaire, the Living with Medicines Questionnaire (LMQ), and the Health Literacy Management Scale (HeLMS). Latent profile analysis (LPA) was conducted to identify distinct profiles of medication-related burden, and multivariate logistic regression was used to explore associated factors for each profile. A total of 214 valid responses were analyzed. The LPA identified two distinct profiles of medication-related burden: C1 - "Low-Burden (Attitude & Practice-Dominated)" (44%) and C2 - "High-Burden (Daily Interference-Dominated)" (56%). Absence of side effects, not employing a caregiver, and higher levels of health literacy were positively associated with membership in the C1 group ( Medication-related burden among MDR-TB patients exhibits clear heterogeneity. Healthcare professionals should adopt stratified management and personalized interventions based on the identified influencing factors to alleviate the burden of medication in this population. Show less
πŸ“„ PDF DOI: 10.2147/PPA.S558068
LPA
Li Zhang, Kai Niu, Yinglu Sun +9 more Β· 2025 Β· Quantitative imaging in medicine and surgery Β· added 2026-04-24
Assessing white matter hyperintensity (WMH) is essential for the diagnosis, treatment, and prognosis of multiple sclerosis (MS) and neuromyelitis optical spectrum disorder (NMOSD). MS and NMOSD presen Show more
Assessing white matter hyperintensity (WMH) is essential for the diagnosis, treatment, and prognosis of multiple sclerosis (MS) and neuromyelitis optical spectrum disorder (NMOSD). MS and NMOSD present dispersed small lesions alongside larger aggregated lesions that are irregularly shaped, posing challenges for the automatic segmentation of WMH on magnetic resonance images. Furthermore, research on NMOSD brain WMH segmentation is limited due to the rare nature of the disease. This study aims to propose a deep learning method for MS and NMOSD brain WMH segmentation. In this study, we propose a 2.5D Fourier Convolutional ResUnet (FrC-ResUnet). It utilizes a spectral encoder to extract global information, enabling accurate segmentation of scattered lesions. Additionally, the model incorporates the selective features module (SFM) and the convolutional block attention module (CBAM) to enhance lesion-background differentiation and outline the lesions distinctly. We evaluated our approach on the MS public and local datasets of MS and NMOSD. Compared to U-Net, ResUNet, FC-DenseNet, AttentionUNet, lesion prediction algorithm (LPA) and Sequence Adaptive Multimodal SEGmentation (SAMSEG), the 2.5D FrC-ResUnet achieved the highest Dice similarity coefficient (DSC) on three different datasets, with values of 0.710, 0.667, and 0.822, respectively. The 2.5D FrC-ResUnet demonstrates accurate and robust segmentation of NMOSD brain WMH. Meanwhile, the model excels in segmenting MS brain WMH, particularly when confronted with irregularly shaped and dispersed lesions. Show less
πŸ“„ PDF DOI: 10.21037/qims-24-2384
LPA
Rui Li, Wenyue Dong, Wenxiu Wang +5 more Β· 2025 Β· Science bulletin Β· Elsevier Β· added 2026-04-24
no PDF DOI: 10.1016/j.scib.2025.10.005
LPA
Yu Peng, Yiqing Gao, Lin Huang +10 more Β· 2025 Β· Sleep & breathing = Schlaf & Atmung Β· Springer Β· added 2026-04-24
Previous studies showed that obstructive sleep apnea (OSA) is associated with dyslipidemia. However, whether micro-arousals during rapid eye movement (REM) and non-rapid eye movement (NREM) sleep inde Show more
Previous studies showed that obstructive sleep apnea (OSA) is associated with dyslipidemia. However, whether micro-arousals during rapid eye movement (REM) and non-rapid eye movement (NREM) sleep independently associated with dyslipidemia were unknown. 4472 participants with OSA-related symptoms were finally included in our cohort. Various sleep variables including micro-arousal index (MAI) were obtained from standard polysomnography (PSG) recordings. Fasting serum lipid levels were assessed at our hospital laboratory. Linear regression models were employed to investigate relationships between micro-arousals in REM and NREM sleep and lipid profile with adjusting for multiple confounding factors. Fully adjusted models demonstrated a significant dose-dependent positive correlation between the MAI during REM sleep (MAI MAI Show less
πŸ“„ PDF DOI: 10.1007/s11325-025-03470-5
LPA
Dianjie Li, Shilei Pan, Wei Cai +2 more Β· 2025 Β· BMC pregnancy and childbirth Β· BioMed Central Β· added 2026-04-24
Given the heightened risk of complications during pregnancy in women of advanced maternal age (AMA), it is crucial to understand the metabolites in amniotic fluid and umbilical cord blood in this demo Show more
Given the heightened risk of complications during pregnancy in women of advanced maternal age (AMA), it is crucial to understand the metabolites in amniotic fluid and umbilical cord blood in this demographic.Β  METHODS: We analyzed the metabolites in amniotic fluid from 60 women, divided into two groups: the AMA group (aged 35 or above, n = 29), and the control group (aged below 35, n = 31). We then conducted a follow-up analysis on the metabolites of umbilical cord blood from a sample of 19 women (9 from the AMA group, and 10 from the control group). In total, we identified 96 differential metabolites in the amniotic fluid and 146 in the cord blood between the two groups. The significant changes in the metabolites of the amniotic fluid mainly involved sphingolipid metabolism, steroid hormone biosynthesis, and cholesterol metabolism. Conversely, the preliminary significant changes in cord blood metabolites were mainly linked to metabolism of arginine and proline, degradation of valine, leucine, and isoleucine, fatty acid metabolism, alanine, aspartate and glutamate metabolism, and the biosynthesis of unsaturated fatty acids. Further analysis revealed a significant upregulation of lysophosphatidylcholine (LPC), phosphatidylcholine (PC), and taurodeoxycholic acid in the amniotic fluid. In the cord blood, various forms of lysophosphatidic acid (LPA), sphingomyelin (SM), phosphatidylglycerol (PG), LPC, and PC were found preliminarily to be either upregulated or downregulated. Our results preliminarily showed that the metabolites of amniotic fluid and cord blood in AMA women differed significantly from the control group. These findings provide crucial insights for future research to explore the role of metabolomics in adverse pregnancy outcomes in AMA women. Show less
πŸ“„ PDF DOI: 10.1186/s12884-025-08118-6
LPA
Cong Liu, Zuommiao Xiao, Zhengting Liu +1 more Β· 2025 Β· Clinical laboratory Β· added 2026-04-24
Endometrial cancer (EC) is a malignant tumor arising from the endometrial epithelium and is among the most prevalent gynecological malignancies worldwide. Increasing evidence suggests that lipid profi Show more
Endometrial cancer (EC) is a malignant tumor arising from the endometrial epithelium and is among the most prevalent gynecological malignancies worldwide. Increasing evidence suggests that lipid profiles, hyperglycemia, and other metabolic factors play a role in EC pathogenesis. However, research on the association between lipoprotein(a) [Lp(a)] levels and EC prognosis remains limited. This retrospective cohort study analyzed Lp(a) levels in patients diagnosed with EC at Ganzhou Hospital, affiliated with Nanchang University, between January 2017 and January 2022. Lp(a) concentrations were measured post-admission, and patient prognosis was categorized as favorable or poor. Multivariate logistic regression analysis was performed to determine the adjusted odds ratio (OR) and 95% confidence interval (CI). The study included 296 EC patients, out of whom 72.3% (214/296) had a favorable prognosis, defined as no recurrence within five years post-surgery. The overall healing rate was 72.3% (214/296). When stratified by Lp(a) levels, patients in the first quantile (Q1 ≀ 122.2 g/L) had a favorable prognosis rate of 77.7% (115/148), whereas those in the second quantile (Q2 > 122.2 g/L) had a rate of 66.9% (99/148), with a statistically significant difference between groups (p < 0.05). In the multivariate regression model, the log2-transformed Lp(a) values and their corresponding ORs (95% CIs) for prognosis at two upper normal limits (ULN) were 1.7248 (1.0288 - 2.8918) and 2.0365 (1.1843 - 3.5018), respectively. Interaction analysis indicated that Lp(a) levels significantly influenced EC prognosis. Lp(a) is strongly associated with EC prognosis and holds potential clinical significance. Further studies are required to validate these findings. Show less
no PDF DOI: 10.7754/Clin.Lab.2025.250239
LPA
Zhiqiang Ren, Yutai Cai, Qiaoman Mo +5 more Β· 2025 Β· Journal of sports sciences Β· Taylor & Francis Β· added 2026-04-24
This study aimed to investigate the association between objectively and subjectively measured 24-hour movement behaviors and physical fitness, and explore how the reallocation of time between 24-hour Show more
This study aimed to investigate the association between objectively and subjectively measured 24-hour movement behaviors and physical fitness, and explore how the reallocation of time between 24-hour movement behaviors is associated with changes in physical fitness in adolescents. A total of 690 adolescents aged 14-17 years (55% girls) were included in this cross-sectional study conducted in Foshan, China. Moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behavior, and sleep were assessed using accelerometers in combination with a questionnaire. Physical fitness was tested through body mass index, forced vital capacity, 50-m sprint, standing long jump, sit-and-reach, gender-specific 800/1000-m run, and pull-ups/sit-ups. MVPA was significantly associated with better performance in the 50-m sprint ( Show less
no PDF DOI: 10.1080/02640414.2025.2567791
LPA
Yujiao Zhao, Luyang Ma, Weijun Li +9 more Β· 2025 Β· BMC pregnancy and childbirth Β· BioMed Central Β· added 2026-04-24
To investigate longitudinal changes in pelvic floor support in primiparous women with pelvic organ prolapse (POP) after vaginal delivery, focusing on single- and multiple-compartment involvement. Two Show more
To investigate longitudinal changes in pelvic floor support in primiparous women with pelvic organ prolapse (POP) after vaginal delivery, focusing on single- and multiple-compartment involvement. Two hundred primiparas after vaginal delivery were prospectively enrolled and underwent pelvic floor MRI at six weeks postpartum. POP was diagnosed and classified into subgroups (single or multiple compartments involved) based on MRI findings. Primiparas with POP underwent repeat MRI at four months postpartum. Pelvic floor measurements, including injury score and functional parameters of the levator ani muscle (puborectal hiatus line, H line; muscular pelvic floor relaxation line, M line; levator hiatus area, LHA; iliococcygeus angle, ICA; levator plate angle, LPA), were assessed on MRI. Measurements were compared among POP subgroups and a normal control group (without POP) at six weeks postpartum. Additionally, changes between six weeks and four months postpartum were analyzed within POP subgroups. Based on MRI criteria, approximately 41.5% of primiparas were diagnosed with POP, predominantly cystoceles commonly associated with uterine prolapse. Functional parameters of the levator ani, except for LPA at rest, were significantly increased in POP subgroups compared to controls. At four months postpartum, M line, H line, and LPA significantly decreased, and prolapsed organs were elevated in cases with multiple compartments involved, compared to six weeks postpartum. No significant changes were observed in cases with single-compartment involvement during follow-up. A substantial proportion of primiparas experienced postpartum POP. Impaired levator ani function contributed to POP. Pelvic floor support improved during early postpartum in cases with multiple-compartment involvement. Show less
πŸ“„ PDF DOI: 10.1186/s12884-025-08044-7
LPA
Xiaohuang Yang, Shaoxing Chen, Leijuan Huang +3 more Β· 2025 Β· Medicine Β· added 2026-04-24
Colorectal cancer (CRC) constitutes a significant public health burden in both China and the United States of America (USA), with low physical activity (LPA) identified as a key modifiable risk factor Show more
Colorectal cancer (CRC) constitutes a significant public health burden in both China and the United States of America (USA), with low physical activity (LPA) identified as a key modifiable risk factor. This study aimed to characterize temporal trends in CRC burden attributable to LPA in these 2 nations from 1990 to 2021. Using data from the 2021 global burden of disease database, age and sex-specific disparities in CRC burden attributed to LPA were evaluated in both countries. Trend analyses of age-standardized mortality rates and age-standardized disability-adjusted life year rates were performed using joinpoint regression. Decomposition analysis was applied to disentangle contributions from demographic aging, population growth, and epidemiological transitions. The age-period-cohort model was employed to quantify the independent effects of age, period, and birth cohort. Bayesian age-period-cohort modeling was utilized to project future CRC burden attributed to LPA through 2036. In 2021, LPA-attributable CRC mortality cases in China reached 16,698 (95% uncertainty interval: 10,065-24,626), exhibiting a 191.16% increase from 1990. The number of disability-adjusted life years attributed to LPA totaled 3,20,464 (95% uncertainty interval: 1,92,275-4,74,070), reflecting a 149.67% rise over the same period. Conversely, the USA reported more moderate increases of 18.26% in LPA-attributable CRC deaths and 20.28% in disability-adjusted life years. The age-period-cohort model revealed that the disease burden in both countries is shifting towards younger age groups. Further analysis of each state in the USA revealed that in 2021, the burden on low-income groups was heavier. The Bayesian age-period-cohort model predicts that the burden of CRC caused by LPA in the 2 countries will show a significant upward trend by 2036. As the burden of CRC caused by LPA becomes increasingly severe in China and the USA, there is an urgent need to raise public awareness about how physical activity can help prevent CRC and for policymakers to create targeted public health policies to lower this disease burden. Show less
no PDF DOI: 10.1097/MD.0000000000044664
LPA
Caili Li, Xiaoqian Lu, Liyan Zhang +10 more Β· 2025 Β· BMC nursing Β· BioMed Central Β· added 2026-04-24
This study aimed to analyze latent profiles and characteristics of nurses' knowledge, attitudes, and practices (KAP) regarding pressure injury (PI) prevention, as well as influencing factors across di Show more
This study aimed to analyze latent profiles and characteristics of nurses' knowledge, attitudes, and practices (KAP) regarding pressure injury (PI) prevention, as well as influencing factors across distinct profiles. A convenience sampling method was employed to recruit nurses from hospitals at various tiers in Guangxi Zhuang Autonomous Region between July and August 2024. Data were collected using a General Information Questionnaire and a Nurse PI-KAP Questionnaire. Latent profile analysis (LPA) identified distinct PI-KAP profiles, while univariate analysis and multinomial logistic regression determined profile-specific influencing factors. Among 17,253 enrolled nurses, the total PI-KAP score was 63.44 ± 7.69. Three latent profiles emerged: low-level PI-KAP (12.82%), moderate-level PI-KAP (52.23%), and high-level PI-KAP (34.95%). Multinomial logistic regression revealed that hospital tier, years of experience, education level, professional title, gender, and attitudes toward PI training significantly influenced PI-KAP profiles (p < .05). Heterogeneity exists in nurses' PI-KAP profiles, with a substantial proportion demonstrating suboptimal competency. Nursing administrators should establish hierarchical training systems tailored to PI-KAP characteristics. Capacity-building strategies include prioritizing training for core nurses, optimizing resource allocation, and establishing tiered hospital assistance mechanisms to enhance team-based PI prevention capabilities. Not applicable. Show less
πŸ“„ PDF DOI: 10.1186/s12912-025-03875-3
LPA
Chen-Ling Kuo, Chih-Chung Wu, Yu-Shan Cheng +3 more Β· 2025 Β· Lipids in health and disease Β· BioMed Central Β· added 2026-04-24
This study investigated the metabolic and pathological effects of a high-fat diet (HFD) in db/db mice and evaluated the therapeutic efficacy of various Coenzyme Q10 (CoQ10) products. We aimed to deter Show more
This study investigated the metabolic and pathological effects of a high-fat diet (HFD) in db/db mice and evaluated the therapeutic efficacy of various Coenzyme Q10 (CoQ10) products. We aimed to determine whether HFD-induced mitochondrial damage can be improved by different CoQ10 products through either repairing mitochondrial injury or increasing mitochondrial bioenergy, thereby addressing the root cause of oxidative stress. Plasma biochemical analyses revealed that HFD induced hyperglycemia, elevated hepatic transaminases [aspartate aminotransferase (AST), alanine aminotransferase (ALT)], and dyslipidemia. Lecithin coenzyme Q10 (SoQ10) significantly improved these parameters, especially in reducing AST (255 ± 73.8 U/L vs. 138 ± 29.4 U/L, p < 0.05), ALT (87.8 ± 17.3 U/L vs. 79.2 ± 11.9 U/L, p < 0.05), and triglyceride levels (142.0 ± 37.0Β mg/dL vs. 15.5 ± 2.5Β mg/dL, p < 0.05), demonstrating greater efficacy than standard CoQ10. Histological evaluation showed that HFD caused marked hepatic steatosis and inflammatory infiltration. Oil Red O staining further confirmed excessive lipid deposition in the livers of HFD-fed mice. Both Q10 treatments decreased lipid droplet accumulation (p < 0.05), with SoQ10 showing a greater reduction (p < 0.05), indicating its potential to alleviate hepatic steatosis. Further assessments indicated that gene expression analyses showed that HFD upregulated lipid metabolism-related genes [lipoprotein lipase (LPL), peroxisome proliferator-activated receptor-Ξ³ (PPAR-Ξ³), sterol regulatory element-binding protein-1 (SREBP-1), alkaline ceramidase 2 (ACER2)] (p < 0.05), indicating an imbalance between lipogenesis and lipolysis. SoQ10 modulated these genes and further enhanced ceramide synthase 2 (CERS2) expression, suggesting a role in reestablishing hepatic lipid homeostasis. Additionally, SoQ10 significantly upregulated genes associated with mitochondrial biogenesis peroxisome proliferator-activated receptor-Ξ³ coactivator-1Ξ± (PGC-1Ξ±), mitochondrial transcription factor A (TFAM)] (p < 0.05) and mitochondrial dynamics [mitofusin-2 (MFN2), optic atrophy type 1 long isoform (OPA1-L)] as well as fission [dynamin-related protein 1 (DRP1), mitochondrial fission protein 1 (Fis1)] (p < 0.05), indicating a potential to restore mitochondrial structural balance. In contrast, conventional CoQ10 had a more limited effect, particularly on fusion-related gene expression. SoQ10 demonstrated superior therapeutic potential over conventional CoQ10 in ameliorating hepatic metabolic dysfunction, oxidative mitochondrial damage, and disturbances in lipid metabolism and mitochondrial dynamics induced by a high-fat diet. Show less
πŸ“„ PDF DOI: 10.1186/s12944-025-02835-9
LPL
Yang Yu, Yuqin Ma, Meiling Cheng +5 more Β· 2025 Β· Frontiers in neuroscience Β· Frontiers Β· added 2026-04-24
This study investigated the brain functional characteristics of patients with neuropathic pain (NP) following spinal cord injury (SCI) using functional near-infrared spectroscopy (fNIRS). A total of 3 Show more
This study investigated the brain functional characteristics of patients with neuropathic pain (NP) following spinal cord injury (SCI) using functional near-infrared spectroscopy (fNIRS). A total of 35 subjects were enrolled, including 10 able-bodied controls, 12 patients with SCI and NP (SCI-NP), and 13 patients with SCI (without NP). fNIRS was used to detected blood oxygen signals during motor tasks and resting-state (RS) functional connectivity (FC) in the subjects. We also performed Pearson correlation analyses of pain scores (NPS) and the Pittsburgh Sleep Quality Index (PSQI) in patients with SCI-NP. Statistical analyses were performed using Shapiro-Wilk test for normality; paired During the task state, patients with SCI-NP activated bilateral primary somatosensory cortex (S1, L/R Patients with SCI-NP exhibit significant abnormal cerebral cortical excitation and reduced FC. HbO is a potential biomarker for evaluating NP. fNIRS supports objective assessment of SCI-NP and rehabilitation strategy formulation [ChiCTR2500097098]. Show less
πŸ“„ PDF DOI: 10.3389/fnins.2025.1699161
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Xi Huang, Zhangshan Gao, Peichao Gao +4 more Β· 2025 Β· Probiotics and antimicrobial proteins Β· Springer Β· added 2026-04-24
Intensive poultry farming has significantly increased the incidence of lipid metabolic disorders, severely compromising the economic benefits of poultry industry. Currently, gamma-aminobutyric acid (G Show more
Intensive poultry farming has significantly increased the incidence of lipid metabolic disorders, severely compromising the economic benefits of poultry industry. Currently, gamma-aminobutyric acid (GABA) is primarily used to mitigate adverse effects of heat stress in poultry, while the effects and mechanisms of GABA on lipid metabolism disorders remain underexplored. Lactobacillus plantarum (L. plantarum) serves as a significant source of GABA and is widely used in the livestock industry. This study therefore examines the effects of postbiotic GABA and the GABA-producing probiotic L. plantarum 1-2-3 on abdominal adipose tissue of laying hens following corticosterone-induced stress. To this end, hens subjected to corticosterone subcutaneous injections (4Β mg/kg of body weight) were respectively received GABA (100Β mg/kg BW) or L. plantarum 1-2-3 (1 × 10⁹ CFU/day). Results demonstrated that both GABA and L. plantarum 1-2-3 alleviated corticosterone-induced lipid metabolism disorders and reduced adipocyte size in abdominal fat. Additionally, expression analyses of genes and proteins related to lipid metabolism (PPARΞ³, C/EBPΞ±, CD36, LPL, ATGL, and HSL) further showed that GABA and L. plantarum 1-2-3 inhibited excessive deposition of abdominal lipids in laying hens by suppressing adipogenesis and lipogenesis, while promoting lipolysis. Moreover, GABA and L. plantarum 1-2-3 both mitigated lipid deposition-induced inflammation and oxidative damage by normalizing macrophage infiltration and improving antioxidative enzyme activities (GSH-Px, T-SOD, CAT). These findings demonstrate the efficacy of GABA and L. plantarum 1-2-3 in alleviating lipid metabolism disorders in the abdominal adipose tissue of laying hens, suggesting their promise as nutritional supplements for counteracting stress-induced metabolic dysfunction. Show less
πŸ“„ PDF DOI: 10.1007/s12602-025-10869-9
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Shengwang Jiang, Chaoyun Yang, Chen Ji +6 more Β· 2025 Β· Frontiers in veterinary science Β· Frontiers Β· added 2026-04-24
This study aims to investigate the effect of fermented onion on Liangshan black sheep's growth performance, health, meat quality, and rumen metabolite profiles. A total of 80 four-month-old female Lia Show more
This study aims to investigate the effect of fermented onion on Liangshan black sheep's growth performance, health, meat quality, and rumen metabolite profiles. A total of 80 four-month-old female Liangshan black sheep were randomly divided into four groups of five replicate pens (four sheep per pen). Sheep were fed a basal diet supplemented with 0 (control), 10, 20% or 30% fermented onion. Compared to that of the control group, dietary supplementation with 20% fermented onion improved final body weight, ADG and ADFI; enhanced GPT and GOT activities and increased IgA, IgG, IgM, C3, and C4 levels; increased the levels of IL-4, IL-10, TGF- Show less
πŸ“„ PDF DOI: 10.3389/fvets.2025.1695023
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Jianing Gu, Xue Tian, Tiantian Wang +10 more Β· 2025 Β· Aquaculture nutrition Β· added 2026-04-24
The current trial sought to assess the impact of fermented chicory root waste (FCRW) dietary administration on growth, lipid metabolism, chemical composition, and intestinal barrier pathway in common Show more
The current trial sought to assess the impact of fermented chicory root waste (FCRW) dietary administration on growth, lipid metabolism, chemical composition, and intestinal barrier pathway in common carp ( Show less
πŸ“„ PDF DOI: 10.1155/anu/2234393
LPL
Shuhuang Chen, Nian Han, Yujie Huang +5 more Β· 2025 Β· International journal of molecular sciences Β· MDPI Β· added 2026-04-24
2,2',4,4'-tetrabromodiphenyl ether (BDE-47) is a common environmental contaminant and widely detected in aquatic surroundings, while only a few reports exist on the hazard mechanism in economic aquati Show more
2,2',4,4'-tetrabromodiphenyl ether (BDE-47) is a common environmental contaminant and widely detected in aquatic surroundings, while only a few reports exist on the hazard mechanism in economic aquatic animals. It has been shown that 40 and 4000 ng/g of BDE-47 dietary exposure over 42 days significantly increased the levels of blood triglycerides, glucose, and liver glycogen in carp ( Show less
πŸ“„ PDF DOI: 10.3390/ijms262010152
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Bo Yang, Huigen Luo, Xutong Yan +6 more Β· 2025 Β· Journal of nanobiotechnology Β· BioMed Central Β· added 2026-04-24
Radiation therapy for malignant tumor patients often induces radiation enteritis (RE), a condition that impairs their quality of life. Currently, there is no standard treatment regimen available. In t Show more
Radiation therapy for malignant tumor patients often induces radiation enteritis (RE), a condition that impairs their quality of life. Currently, there is no standard treatment regimen available. In this study, we used lyophilized apoptotic vesicles (Lpl-apoVs) from umbilical cord mesenchymal stem cells to treat RE in a murine model. We show that enema administration of lyophilized apoVs can ameliorate intestinal damage in RE mice. Mechanistically, Lpl-apoVs were internalized by intestinal endothelial cells (IECs) to alleviate radiation-induced DNA damage. In addition, mitophagy was identified as a prerequisite for therapeutic efficacy, suggesting that rescue of DNA damage and restoration of mitochondrial quality are collaboratively to ameliorate RE diseased phenotypes. These findings indicate that enema administration of Lpl-apoVs is a novel strategy for RE therapy. [Image: see text] The online version contains supplementary material available at 10.1186/s12951-025-03592-8. Show less
πŸ“„ PDF DOI: 10.1186/s12951-025-03592-8
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