scholarly journals Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures

2018 ◽  
Vol 28 (5) ◽  
pp. 1217-1229 ◽  
Author(s):  
David S. Tulsky ◽  
Pamela A. Kisala ◽  
Aaron J. Boulton ◽  
Alan M. Jette ◽  
David Thissen ◽  
...  
Keyword(s):  
Physical Health ◽  
Health Measures ◽  
Adult Physical Health

Harsh Physical Punishment in Childhood and Adult Physical Health

PEDIATRICS ◽  
2013 ◽  
Vol 132 (2) ◽  
pp. e333-e340 ◽  
Author(s):  
T. O. Afifi ◽  
N. Mota ◽  
H. L. MacMillan ◽  
J. Sareen
Keyword(s):  
Physical Health ◽  
Physical Punishment ◽  
Adult Physical Health

scholarly journals The Utility of the Timed Up-and-Go Test in Predicting Cognitive Performance: A Cross-Sectional Study of Independent Living Adults in a Retirement Community

2019 ◽  
Vol 39 (10) ◽  
pp. 1163-1168 ◽  
Author(s):  
Ryan Van Patten ◽  
Ellen E. Lee ◽  
Sarah A. Graham ◽  
Colin A. Depp ◽  
Ho-Cheol Kim ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Cognitive Performance ◽  
Psychiatric Symptoms ◽  
Functional Mobility ◽  
Self Report ◽  
Physical And Mental Health ◽  
Cognitive Changes ◽  
Timed Up And Go ◽  
Health Measures

Physical, emotional, and cognitive changes are well documented in aging populations. We administered a comprehensive battery of mental and physical health measures and the Montreal Cognitive Assessment (MoCA; a cognitive screening tool) to 93 independently living older adults (OAs) residing in a Continuing Care Senior Housing Community. Performance on the Timed Up-and-Go (TUG) test (a measure of functional mobility) correlated more strongly with the MoCA total score than did measures of aging, psychiatric symptoms, sleep, and both self-report and objective physical health. Furthermore, it was associated with MoCA Attention, Language, Memory, and Visuospatial/Executive subscales. The MoCA-TUG relationship remained significant after controlling for demographic and physical/mental health measures. Given that the TUG explained significantly more variance in broad cognitive performance than a comprehensive battery of additional physical and mental health tests, it may function as a multimodal measure of health in OAs, capturing physical changes and correlating with cognitive measures.

scholarly journals Loneliness and Mental Health: Recommendations for Primary Care Intakes

2021 ◽  
Vol 12 ◽  
pp. 215013272110271
Author(s):  
Marissa Godfrey ◽  
Pi-Ju Liu ◽  
Aining Wang ◽  
Stacey Wood
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Physical Health ◽  
Social Integration ◽  
Health Survey ◽  
Household Income ◽  
Regression Models ◽  
Physical Health Status ◽  
Health Measures ◽  
Mental And Physical Health

Introduction/Objectives The healthcare intake process plays a significant role in informing medical personnel about patients’ demographic information, subjective health status, and health complaints. Intake forms can help providers personalize care to assist patients in getting proper referrals and treatment. Previous studies examined factors that could be included in intake forms independently, but this study analyzed loneliness, religiousness, household income, and social integration together to see how the combined effect influences mental and physical health status. This study aims to determine which of those 4 variables better inform patients’ mental versus physical health status. Methods One hundred and seventy-nine participants completed surveys, including the SF-12® Health Survey, measuring perceived physical and mental health, UCLA 3-item Loneliness Scale, and a demographics questionnaire with questions about household income and time spent dedicated to religious practice, if applicable. Additionally, individuals answered social integration questions about how often they contact close family and friends or volunteer in the community. Using loneliness, household income, religiousness, social integration as independent variables, and controlling for demographic variables such as age, gender, and race, 2 regression models were built with Mental and Physical Health Composite Scores from the the SF-12® Health Survey as dependent variables. Results Loneliness was associated with mental health measures ( b = −2.190, P < .001), while household income was associated with physical health measures ( b = 0.604, P = .019) above and beyond other variables in the regression models. Conclusions Integrating the 3 loneliness questions into intake forms can help approximate an individual’s mental health status. This would allow the provider to be able to assess mental health problems more effectively and provide needed resources.

Fieldwork Education: A Shared Supervision Model

1994 ◽  
Vol 61 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Bonny Jung ◽  
Adele Martin ◽  
Lynn Graden ◽  
Joyce Awrey
Keyword(s):  
Physical Health ◽  
Implementation Process ◽  
Evaluation Process ◽  
Learning Needs ◽  
Orientation Process ◽  
Process Learning ◽  
Process And Outcome ◽  
Supervision Model ◽  
University Department ◽  
Adult Physical Health

This paper describes how McMaster University, Department of Occupational Therapy implemented a shared supervision model during an adult physical health block clinical placement, in two fieldwork settings in Hamilton. Five students were assigned to each of the clinical facilities and spent time with the group supervisors and clinical preceptors to meet their learning needs. The objectives, implementation process, training and orientation process, learning and evaluation process, and outcome of this project are discussed. The shared supervision model appears to be a viable alternative supervision model in fieldwork education.

Case Managers' Attitudes to the Physical Health of Their Patients

2003 ◽  
Vol 37 (6) ◽  
pp. 710-714 ◽  
Author(s):  
Brendan Hyland ◽  
Fiona Judd ◽  
Sandra Davidson ◽  
Damien Jolley ◽  
Barbara Hocking
Keyword(s):  
Mental Illness ◽  
Physical Health ◽  
Case Managers ◽  
Chronic Mental Illness ◽  
Health Issues ◽  
Poor General Health ◽  
Attitudes And Practices ◽  
Health Measures ◽  
The Poor ◽  
People With Mental Illness

Objective: To examine the attitudes and practices of case managers working in Area Mental Health Services (AMHS) towards the physical health of people with chronic mental illness. Method: Case managers at four AMHS in Melbourne participated in focus groups and completed a survey questionnaire. Results: Case managers generally believed that mental illness, psychotropic medication and lifestyle factors contributed to the poor physical health status of their patients. Although many case managers attempted interventions aimed at improving physical health, there was inconsistency regarding the areas targeted. Preventive health measures were often neglected. Overall, there was a sense of pessimism around whether improved physical health was possible for people with chronic mental illness. Conclusions: Lack of coordination among health professionals and the health system may contribute to the poor general health of people with mental illness. Patients often have difficulty accessing general practitioners and the culture within the AMHS can exclude considerations of physical health. Case management should include aspects addressing the physical health issues of AMHS clients.

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