Results 201 to 210 of about 2,232,871 (247)

Neurolathyrism in Sub‐Saharan Africa—Assessing the Neurotoxic Risks of Lathyrus sativus Amid Drought and Food Security Challenges

Food Safety and Health, EarlyView.
Representation of grass pea consumption in drought‐stricken sub‐Saharan Africa sustains nutrition, but excess β‐ODAP exposure due to multiple reasons triggers neurolathyrism, a progressive neurotoxic disorder. ABSTRACT Neurolathyrism is a progressive motor neuron disease due to the consumption of Lathyrus sativus (grass pea) over long periods.
Biruk Demisse Ayalew, Muhammad Umar, Pakeezah Tabasum, Maria Qadri, Talha Farooq, Eskeatnaf Yosef Getachew, Zemichael Getu Alemayehu, Eden Haile Hagos, Hailemariam Shimelis Gebeyehu, Hanna Tsehay Abebe, Nuradin Abdi Ali, David Chinaecherem Innocent, Temesgen Mamo Sharew   +12 more
wiley   +1 more source

Weight stigma and bias: standards of care in overweight and obesity-2025. [PDF]

BMJ Open Diabetes Res Care
Bannuru RR, Professional Practice Committee.   +1 more
europepmc   +1 more source

Classified Comparison and Cause Analysis of the Characteristics of Co‐Disabilities Among Older Adults With Physical Disability in China

Health Care Science, EarlyView.
This study used prevalence comparisons and binary logistic regression to analyze the data from the First and Second China National Sample Survey on Disability conducted in 1987 and 2006, respectively. Co‐disability patterns among older adults with physical disability in China were examined, and the associations of other disability types with both the ...
Yiran Wang, Xiaodong Zhang, Lu Tan, Chenyu Yan, Xiaoqian Yan, Wenwen Liu, Tianran Wang, Sijiu Wang, Wannian Liang   +8 more
wiley   +1 more source

How Does Weight Stigma Impact Healthcare Settings? Evidence From Chilean Patients Seeking Healthcare. [PDF]

J Obes
Bastías-González F, Gómez-Pérez D.
europepmc   +1 more source

Exploring portrayals of ‘childhood obesity’: Weight stigma in policy, news media, and public perceptions

, 2018
null null, Beccy Smith, Stuart W. Flint
core   +1 more source

Longitudinal Study on Post‐Traumatic Stress Disorder, Anxiety, and Depression Among Medical Staff in China

Health Care Science, EarlyView.
A six‐month study of 2650 medical staff found post‐traumatic stress disorder and depression bidirectionally predicted each other, and both drove later anxiety. These findings highlight the need for integrated early screening and intervention strategies targeting post‐traumatic stress disorder, anxiety and depression in high‐stress healthcare settings ...
Zongju Chen, Ruiting Cai, Yifang Liu, Na Tao, Yang Fei, Jing Wen, Pu Zhang, Yu Lu, Jun Zhang, Jing Wang, Li Zou, Wenning Fu   +11 more
wiley   +1 more source

From education to patient care: the impact of weight stigma in healthcare. [PDF]

Proc (Bayl Univ Med Cent)
D'Arpino E, Kardong-Edgren S.
europepmc   +1 more source

Medical Brain Drain: The Role of Job Attributes and Individual Traits

Health Economics, EarlyView.
ABSTRACT Medical brain drain poses a major challenge for health systems, reducing physician supply and undermining public investment in medical training. Prior work examined migration flows and their macroeconomic determinants. This study uses a discrete choice experiment to assess how individual background and personality traits shape medical student ...
Marco Bertoni, Debdeep Chattopadhyay, Yuanyuan Gu   +2 more
wiley   +1 more source

Weight stigma and the development of body image resilience during preconception, pregnancy and postpartum: A qualitative interview study. [PDF]

Health Psychol Open
Dever M, Incollingo Rodriguez AC, Winning A, Skouteris H, Hill B.   +4 more
europepmc   +1 more source

Predicting Oral Cancer From Precursor Lesions: The Case for a Standardized Framework of Analysis to Improve Prediction Modeling

Head &Neck, EarlyView.
ABSTRACT Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunity for early detection. Current methods to assess risk of precursor lesion progression to oral cancer incompletely predict risk. A multimodal framework that leverages machine learning is needed to improve prediction.
Michael E. Troka, James C. Gates
wiley   +1 more source