Results 221 to 230 of about 21,399 (291)

Mental health and routine police work: a systematic scoping review. [PDF]

Health Justice
Webber M, Hughes E, Kammersgaard T, Lloyd C, Papworth A, Yardimci O.   +5 more
europepmc   +1 more source

Membership‐Making in Diverse Societies: Revisiting the Idea of Society as a Common Possession

Journal of Applied Philosophy, EarlyView.
ABSTRACT The traditional aim of Western social democracy has been to create a society that is a ‘common possession’ of its members (in T.H. Marshall's words). Social democratic politics has therefore been both society‐making and membership‐making, orienting people to a shared society as an object of attachment and loyalty, and nurturing membership ...
Will Kymlicka
wiley   +1 more source

From drivers to passengers: concept of passive drink driving and need for passenger-centric interventions to reduce drink-driving in Bengaluru City, India. [PDF]

BMC Public Health
Sukumar GM, Patel N, O N S, Muniraja P, A V P, M A S, M N A, B S P, Shukla RP, Ridhi S, Gururaj G, Bachani AM.   +11 more
europepmc   +1 more source

Lactation, Childrearing, and Gender Justice

Journal of Applied Philosophy, EarlyView.
ABSTRACT In this article, I discuss the significance of early infant feeding choices for the goal of gender justice. Focusing on human lactation practices, I identify Exclusive Gestational Nursing (EGN) as the norm in advanced industrial societies, which creates the expectation and permission for gestators, and only gestators, to nurse children, and ...
Jenny Brown
wiley   +1 more source

"They Align Themselves With Us, Whereas I'm Aligned With the Patient": A Multi-Site Qualitative Study of Resident Physicians' Experiences With Law Enforcement in the Emergency Department. [PDF]

AEM Educ Train
Suh M, Newton N, Torres B, Davis N, Rich J, Amin D, Salhi BA, Wong AH.   +7 more
europepmc   +1 more source

Mental health measures among adolescents in 12 low‐ and middle‐income countries: Measurement invariance and cross‐sectional analyses of Disrupting Harm survey data

JCPP Advances, EarlyView.
Abstract Background Nationally representative mental health data in adolescents from low‐ and middle‐income countries (LMICs) are scarce. This study aimed to examine mental health and wellbeing indicators amongst adolescents in 12 LMICs across Eastern and Southern Africa and Southeast Asia. Methods We conducted a secondary analysis of data involving 12,
Ariadna Albajara Sáenz, Sebastian Kurten, Jennifer Saxton, Daniel Kardefelt‐Winther, Tamsin Ford, Amy Orben, Simon R. White   +6 more
wiley   +1 more source

Latent profiles of psychological empowerment in Chinese police officers: links to emotional support and work well-being. [PDF]

Front Psychol
Tian Y, Jia Z, Li N, Wu Y, Deng J, Tang Y, Huang J, Xu X.   +7 more
europepmc   +1 more source

Using body mapping to explore perceptions of resilience with 7–12‐year‐old Muslim children in East London: A qualitative study

JCPP Advances, EarlyView.
This study explored resilience in Black and South Asian Muslim children aged 7–12 in East London, an underrepresented group affected by deprivation and discrimination. Using body mapping, children depicted resilience as personal strength and described the importance of support systems.
Aisling Murray, Imogen I. Hensler, Eleanor Keiller, Faiza Durrani, Patrisiya Ali Taleb, Maria Grazia Turri, Jennifer Y. F. Lau   +6 more
wiley   +1 more source

Ontario public safety personnel experiences of workplace mental wellness supports. [PDF]

PLOS Ment Health
Edgelow M, Mousavi Y, Paemurd A, Islam N, Oliveira L, Moffat G.   +5 more
europepmc   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source