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Showing 13 to 24 of 113 entries
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Methylmercury-Induced Metabolic Alterations in .

Toxics

Crawford N, Martell M, Nielsen T, Khalil B, Imtiaz F, Nguidjo E, Newell-Caito JL, Bornhorst J, Schwerdtle T, Caito SW.
PMID: 34822679
Toxics. 2021 Nov 02;9(11). doi: 10.3390/toxics9110287.

Methylmercury (MeHg) is a well-known neurotoxicant; however, its role in metabolic diseases has been gaining wider attention. Chronic exposure to MeHg in human populations shows an association with diabetes mellitus and metabolic syndrome (MS). As the incidences of both...

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Crawford N, Martell M, Nielsen T, et al. Methylmercury-Induced Metabolic Alterations in . Toxics. 2021;9(11)doi: 10.3390/toxics9110287.
Crawford, N., Martell, M., Nielsen, T., Khalil, B., Imtiaz, F., Nguidjo, E., Newell-Caito, J. L., Bornhorst, J., Schwerdtle, T., & Caito, S. W. (2021). Methylmercury-Induced Metabolic Alterations in . Toxics, 9(11), . https://doi.org/10.3390/toxics9110287
Crawford, Nicole, et al. "Methylmercury-Induced Metabolic Alterations in ." Toxics vol. 9,11 (2021). doi: https://doi.org/10.3390/toxics9110287
Crawford N, Martell M, Nielsen T, Khalil B, Imtiaz F, Nguidjo E, Newell-Caito JL, Bornhorst J, Schwerdtle T, Caito SW. Methylmercury-Induced Metabolic Alterations in . Toxics. 2021 Nov 02;9(11). doi: 10.3390/toxics9110287. PMID: 34822679; PMCID: PMC8619518.
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Digital interventions for the treatment of depression: A meta-analytic review.

Psychological bulletin

Moshe I, Terhorst Y, Philippi P, Domhardt M, Cuijpers P, Cristea I, Pulkki-Råback L, Baumeister H, Sander LB.
PMID: 34898233
Psychol Bull. 2021 Aug;147(8):749-786. doi: 10.1037/bul0000334.

The high global prevalence of depression, together with the recent acceleration of remote care owing to the COVID-19 pandemic, has prompted increased interest in the efficacy of digital interventions for the treatment of depression. We provide a summary of...

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Moshe I, Terhorst Y, Philippi P, et al. Digital interventions for the treatment of depression: A meta-analytic review. Psychol Bull. 2021;147(8):749-786doi: 10.1037/bul0000334.
Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., Pulkki-Råback, L., Baumeister, H., & Sander, L. B. (2021). Digital interventions for the treatment of depression: A meta-analytic review. Psychological bulletin, 147(8), 749-786. https://doi.org/10.1037/bul0000334
Moshe, Isaac, et al. "Digital interventions for the treatment of depression: A meta-analytic review." Psychological bulletin vol. 147,8 (2021): 749-786. doi: https://doi.org/10.1037/bul0000334
Moshe I, Terhorst Y, Philippi P, Domhardt M, Cuijpers P, Cristea I, Pulkki-Råback L, Baumeister H, Sander LB. Digital interventions for the treatment of depression: A meta-analytic review. Psychol Bull. 2021 Aug;147(8):749-786. doi: 10.1037/bul0000334. PMID: 34898233.
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A Systematic Evaluation of Mobile Health Applications for the Prevention of Suicidal Behavior or Non-suicidal Self-injury.

Frontiers in digital health

Sander LB, Lemor ML, Van der Sloot RJA, De Jaegere E, Büscher R, Messner EM, Baumeister H, Terhorst Y.
PMID: 34713162
Front Digit Health. 2021 Jul 26;3:689692. doi: 10.3389/fdgth.2021.689692. eCollection 2021.

People with suicidal ideation and non-suicidal self-injury (NSSI) behavior face numerous barriers to help-seeking, which worsened during the COVID-19 pandemic. Mobile health applications (MHA) are discussed as one solution to improve healthcare. However, the commercial app markets are growing...

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Sander LB, Lemor ML, Van der Sloot RJA, et al. A Systematic Evaluation of Mobile Health Applications for the Prevention of Suicidal Behavior or Non-suicidal Self-injury. Front Digit Health. 2021;3:689692doi: 10.3389/fdgth.2021.689692.
Sander, L. B., Lemor, M. L., Van der Sloot, R. J. A., De Jaegere, E., Büscher, R., Messner, E. M., Baumeister, H., & Terhorst, Y. (2021). A Systematic Evaluation of Mobile Health Applications for the Prevention of Suicidal Behavior or Non-suicidal Self-injury. Frontiers in digital health, 3689692. https://doi.org/10.3389/fdgth.2021.689692
Sander, Lasse B, et al. "A Systematic Evaluation of Mobile Health Applications for the Prevention of Suicidal Behavior or Non-suicidal Self-injury." Frontiers in digital health vol. 3 (2021): 689692. doi: https://doi.org/10.3389/fdgth.2021.689692
Sander LB, Lemor ML, Van der Sloot RJA, De Jaegere E, Büscher R, Messner EM, Baumeister H, Terhorst Y. A Systematic Evaluation of Mobile Health Applications for the Prevention of Suicidal Behavior or Non-suicidal Self-injury. Front Digit Health. 2021 Jul 26;3:689692. doi: 10.3389/fdgth.2021.689692. eCollection 2021. PMID: 34713162; PMCID: PMC8521855.
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The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study.

JMIR mHealth and uHealth

Messner EM, Terhorst Y, Barke A, Baumeister H, Stoyanov S, Hides L, Kavanagh D, Pryss R, Sander L, Probst T.
PMID: 32217504
JMIR Mhealth Uhealth. 2020 Mar 27;8(3):e14479. doi: 10.2196/14479.

BACKGROUND: The number of mobile health apps (MHAs), which are developed to promote healthy behaviors, prevent disease onset, manage and cure diseases, or assist with rehabilitation measures, has exploded. App store star ratings and descriptions usually provide insufficient or...

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Messner EM, Terhorst Y, Barke A, et al. The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study. JMIR Mhealth Uhealth. 2020;8(3):e14479doi: 10.2196/14479.
Messner, E. M., Terhorst, Y., Barke, A., Baumeister, H., Stoyanov, S., Hides, L., Kavanagh, D., Pryss, R., Sander, L., & Probst, T. (2020). The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study. JMIR mHealth and uHealth, 8(3), e14479. https://doi.org/10.2196/14479
Messner, Eva-Maria, et al. "The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study." JMIR mHealth and uHealth vol. 8,3 (2020): e14479. doi: https://doi.org/10.2196/14479
Messner EM, Terhorst Y, Barke A, Baumeister H, Stoyanov S, Hides L, Kavanagh D, Pryss R, Sander L, Probst T. The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study. JMIR Mhealth Uhealth. 2020 Mar 27;8(3):e14479. doi: 10.2196/14479. PMID: 32217504; PMCID: PMC7148545.
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Mask R-CNN Based C. Elegans Detection with a DIY Microscope.

Biosensors

Fudickar S, Nustede EJ, Dreyer E, Bornhorst J.
PMID: 34436059
Biosensors (Basel). 2021 Jul 30;11(8). doi: 10.3390/bios11080257.

Caenorhabditis elegans (C. elegans) is an important model organism for studying molecular genetics, developmental biology, neuroscience, and cell biology. Advantages of the model organism include its rapid development and aging, easy cultivation, and genetic tractability. C. elegans has been...

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Fudickar S, Nustede EJ, Dreyer E, et al. Mask R-CNN Based C. Elegans Detection with a DIY Microscope. Biosensors (Basel). 2021;11(8)doi: 10.3390/bios11080257.
Fudickar, S., Nustede, E. J., Dreyer, E., & Bornhorst, J. (2021). Mask R-CNN Based C. Elegans Detection with a DIY Microscope. Biosensors, 11(8), . https://doi.org/10.3390/bios11080257
Fudickar, Sebastian, et al. "Mask R-CNN Based C. Elegans Detection with a DIY Microscope." Biosensors vol. 11,8 (2021). doi: https://doi.org/10.3390/bios11080257
Fudickar S, Nustede EJ, Dreyer E, Bornhorst J. Mask R-CNN Based C. Elegans Detection with a DIY Microscope. Biosensors (Basel). 2021 Jul 30;11(8). doi: 10.3390/bios11080257. PMID: 34436059; PMCID: PMC8391161.
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Efficiently inferring the demographic history of many populations with allele count data.

Journal of the American Statistical Association

Kamm J, Terhorst J, Durbin R, Song YS.
PMID: 33012903
J Am Stat Assoc. 2020;115(531):1472-1487. doi: 10.1080/01621459.2019.1635482. Epub 2019 Jul 22.

The sample frequency spectrum (SFS), or histogram of allele counts, is an important summary statistic in evolutionary biology, and is often used to infer the history of population size changes, migrations, and other demographic events affecting a set of...

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Kamm J, Terhorst J, Durbin R, et al. Efficiently inferring the demographic history of many populations with allele count data. J Am Stat Assoc. 2019;115(531):1472-1487doi: 10.1080/01621459.2019.1635482.
Kamm, J., Terhorst, J., Durbin, R., & Song, Y. S. (2020). Efficiently inferring the demographic history of many populations with allele count data. Journal of the American Statistical Association, 115(531), 1472-1487. https://doi.org/10.1080/01621459.2019.1635482
Kamm, Jack, et al. "Efficiently inferring the demographic history of many populations with allele count data." Journal of the American Statistical Association vol. 115,531 (2020): 1472-1487. doi: https://doi.org/10.1080/01621459.2019.1635482
Kamm J, Terhorst J, Durbin R, Song YS. Efficiently inferring the demographic history of many populations with allele count data. J Am Stat Assoc. 2020;115(531):1472-1487. doi: 10.1080/01621459.2019.1635482. Epub 2019 Jul 22. PMID: 33012903; PMCID: PMC7531012.
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Rolling resistance of casters increases significantly after two years of simulated use.

Journal of rehabilitation and assistive technologies engineering

Wilson-Jene H, Mhatre A, Ott J, Krider B, Smith C, Terhorst L, Pearlman J.
PMID: 34408905
J Rehabil Assist Technol Eng. 2021 Aug 05;8:20556683211025149. doi: 10.1177/20556683211025149. eCollection 2021.

INTRODUCTION: Manual wheelchair propulsion is associated with upper limb pain and injury, and clinical guidelines recommend minimizing propulsive force to lower health risks. One of the strategies to reduce propulsive force is by minimizing rolling resistance (RR). Product testing...

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Wilson-Jene H, Mhatre A, Ott J, et al. Rolling resistance of casters increases significantly after two years of simulated use. J Rehabil Assist Technol Eng. 2021;8:20556683211025149doi: 10.1177/20556683211025149.
Wilson-Jene, H., Mhatre, A., Ott, J., Krider, B., Smith, C., Terhorst, L., & Pearlman, J. (2021). Rolling resistance of casters increases significantly after two years of simulated use. Journal of rehabilitation and assistive technologies engineering, 820556683211025149. https://doi.org/10.1177/20556683211025149
Wilson-Jene, Holly, et al. "Rolling resistance of casters increases significantly after two years of simulated use." Journal of rehabilitation and assistive technologies engineering vol. 8 (2021): 20556683211025149. doi: https://doi.org/10.1177/20556683211025149
Wilson-Jene H, Mhatre A, Ott J, Krider B, Smith C, Terhorst L, Pearlman J. Rolling resistance of casters increases significantly after two years of simulated use. J Rehabil Assist Technol Eng. 2021 Aug 05;8:20556683211025149. doi: 10.1177/20556683211025149. eCollection 2021. PMID: 34408905; PMCID: PMC8365014.
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Acceptance towards digital health interventions - Model validation and further development of the Unified Theory of Acceptance and Use of Technology.

Internet interventions

Philippi P, Baumeister H, Apolinário-Hagen J, Ebert DD, Hennemann S, Kott L, Lin J, Messner EM, Terhorst Y.
PMID: 34603973
Internet Interv. 2021 Sep 20;26:100459. doi: 10.1016/j.invent.2021.100459. eCollection 2021 Dec.

Internet- and mobile-based interventions (IMI) offer an effective way to complement health care. Acceptance of IMI, a key facilitator of their implementation in routine care, is often low. Based on the Unified Theory of Acceptance and Use of Technology...

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Philippi P, Baumeister H, Apolinário-Hagen J, et al. Acceptance towards digital health interventions - Model validation and further development of the Unified Theory of Acceptance and Use of Technology. Internet Interv. 2021;26:100459doi: 10.1016/j.invent.2021.100459.
Philippi, P., Baumeister, H., Apolinário-Hagen, J., Ebert, D. D., Hennemann, S., Kott, L., Lin, J., Messner, E. M., & Terhorst, Y. (2021). Acceptance towards digital health interventions - Model validation and further development of the Unified Theory of Acceptance and Use of Technology. Internet interventions, 26100459. https://doi.org/10.1016/j.invent.2021.100459
Philippi, Paula, et al. "Acceptance towards digital health interventions - Model validation and further development of the Unified Theory of Acceptance and Use of Technology." Internet interventions vol. 26 (2021): 100459. doi: https://doi.org/10.1016/j.invent.2021.100459
Philippi P, Baumeister H, Apolinário-Hagen J, Ebert DD, Hennemann S, Kott L, Lin J, Messner EM, Terhorst Y. Acceptance towards digital health interventions - Model validation and further development of the Unified Theory of Acceptance and Use of Technology. Internet Interv. 2021 Sep 20;26:100459. doi: 10.1016/j.invent.2021.100459. eCollection 2021 Dec. PMID: 34603973; PMCID: PMC8463857.
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Rasch analysis of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury.

Journal of psychosocial rehabilitation and mental health

Juengst S, Grattan E, Wright B, Terhorst L.
PMID: 34926129
J Psychosoc Rehabil Ment Health. 2021 Dec;8(3):231-246. doi: 10.1007/s40737-021-00218-8. Epub 2021 Apr 29.

The Behavioral Assessment Screening Tool (BAST) measures neurobehavioral symptoms in adults with traumatic brain injury (TBI). Exploratory Factor Analyses established five subscales: Negative Affect, Fatigue, Executive Function, Impulsivity, and Substance Abuse. In the current study, we assessed all the...

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Juengst S, Grattan E, Wright B, et al. Rasch analysis of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury. J Psychosoc Rehabil Ment Health. 2021;8(3):231-246doi: 10.1007/s40737-021-00218-8.
Juengst, S., Grattan, E., Wright, B., & Terhorst, L. (2021). Rasch analysis of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury. Journal of psychosocial rehabilitation and mental health, 8(3), 231-246. https://doi.org/10.1007/s40737-021-00218-8
Juengst, Shannon, et al. "Rasch analysis of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury." Journal of psychosocial rehabilitation and mental health vol. 8,3 (2021): 231-246. doi: https://doi.org/10.1007/s40737-021-00218-8
Juengst S, Grattan E, Wright B, Terhorst L. Rasch analysis of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury. J Psychosoc Rehabil Ment Health. 2021 Dec;8(3):231-246. doi: 10.1007/s40737-021-00218-8. Epub 2021 Apr 29. PMID: 34926129; PMCID: PMC8673913.
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Examination of Cancer and Aging Through Activities of Daily Living: A National Health and Aging Trends Study Analysis.

Journal of aging and health

Brick R, Skidmore ER, Al Snih S, Terhorst L.
PMID: 33961520
J Aging Health. 2021 Dec;33(10):877-885. doi: 10.1177/08982643211017656. Epub 2021 May 07.

No abstract available.

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Brick R, Skidmore ER, Al Snih S, et al. Examination of Cancer and Aging Through Activities of Daily Living: A National Health and Aging Trends Study Analysis. J Aging Health. 2021;33(10):877-885doi: 10.1177/08982643211017656.
Brick, R., Skidmore, E. R., Al Snih, S., & Terhorst, L. (2021). Examination of Cancer and Aging Through Activities of Daily Living: A National Health and Aging Trends Study Analysis. Journal of aging and health, 33(10), 877-885. https://doi.org/10.1177/08982643211017656
Brick, Rachelle, et al. "Examination of Cancer and Aging Through Activities of Daily Living: A National Health and Aging Trends Study Analysis." Journal of aging and health vol. 33,10 (2021): 877-885. doi: https://doi.org/10.1177/08982643211017656
Brick R, Skidmore ER, Al Snih S, Terhorst L. Examination of Cancer and Aging Through Activities of Daily Living: A National Health and Aging Trends Study Analysis. J Aging Health. 2021 Dec;33(10):877-885. doi: 10.1177/08982643211017656. Epub 2021 May 07. PMID: 33961520.
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The Development and Content Validation of the Care Partner Hospital Assessment Tool.

Nursing reports (Pavia, Italy)

Fields B, Schulz R, Terhorst L, Carbery M, Rodakowski J.
PMID: 34968327
Nurs Rep. 2021 Jul 11;11(3):522-529. doi: 10.3390/nursrep11030049.

BACKGROUND/OBJECTIVES: When aging adults are hospitalized due to a major health event, they often turn to care partners ('family members or friends') for support. Assessment of care partners' needs during hospital care may be important to inform and target...

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Fields B, Schulz R, Terhorst L, et al. The Development and Content Validation of the Care Partner Hospital Assessment Tool. Nurs Rep. 2021;11(3):522-529doi: 10.3390/nursrep11030049.
Fields, B., Schulz, R., Terhorst, L., Carbery, M., & Rodakowski, J. (2021). The Development and Content Validation of the Care Partner Hospital Assessment Tool. Nursing reports (Pavia, Italy), 11(3), 522-529. https://doi.org/10.3390/nursrep11030049
Fields, Beth, et al. "The Development and Content Validation of the Care Partner Hospital Assessment Tool." Nursing reports (Pavia, Italy) vol. 11,3 (2021): 522-529. doi: https://doi.org/10.3390/nursrep11030049
Fields B, Schulz R, Terhorst L, Carbery M, Rodakowski J. The Development and Content Validation of the Care Partner Hospital Assessment Tool. Nurs Rep. 2021 Jul 11;11(3):522-529. doi: 10.3390/nursrep11030049. PMID: 34968327; PMCID: PMC8608130.
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Cut Points and Sensitivity to Change of the Enfranchisement Scale of the Community Participation Indicators in Adults with Traumatic Brain Injury.

PM & R : the journal of injury, function, and rehabilitation

Kersey J, Baum CM, Hammel J, Terhorst L, McCue M, Skidmore ER.
PMID: 34865309
PM R. 2021 Dec 05; doi: 10.1002/pmrj.12743. Epub 2021 Dec 05.

INTRODUCTION: Community participation is an important outcome of rehabilitation following traumatic brain injury. Yet, few measures assess inclusion and belonging (enfranchisement) as a dimension of community participation. The Enfranchisement scale of the Community Participation Indicators addresses this need. However,...

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Kersey J, Baum CM, Hammel J, et al. Cut Points and Sensitivity to Change of the Enfranchisement Scale of the Community Participation Indicators in Adults with Traumatic Brain Injury. PM R. 2021;doi: 10.1002/pmrj.12743.
Kersey, J., Baum, C. M., Hammel, J., Terhorst, L., McCue, M., & Skidmore, E. R. (2021). Cut Points and Sensitivity to Change of the Enfranchisement Scale of the Community Participation Indicators in Adults with Traumatic Brain Injury. PM & R : the journal of injury, function, and rehabilitation, . https://doi.org/10.1002/pmrj.12743
Kersey, Jessica, et al. "Cut Points and Sensitivity to Change of the Enfranchisement Scale of the Community Participation Indicators in Adults with Traumatic Brain Injury." PM & R : the journal of injury, function, and rehabilitation vol. (2021). doi: https://doi.org/10.1002/pmrj.12743
Kersey J, Baum CM, Hammel J, Terhorst L, McCue M, Skidmore ER. Cut Points and Sensitivity to Change of the Enfranchisement Scale of the Community Participation Indicators in Adults with Traumatic Brain Injury. PM R. 2021 Dec 05; doi: 10.1002/pmrj.12743. Epub 2021 Dec 05. PMID: 34865309.
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Showing 13 to 24 of 113 entries