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"Soo A Kim"

Original Articles

Pain & Musculoskeletal rehabilitation

Association Between Vitamin E and Handgrip Strength in the Korean General Population in KNHANES VII (2018)
Nodam Park, Soo A Kim, Kiyoung Oh, Yuntae Kim, Siha Park, Joon Yeop Kim, Namhun Heo
Ann Rehabil Med 2021;45(3):170-177.   Published online June 14, 2021
DOI: https://doi.org/10.5535/arm.21038
Objective
To investigate the association between vitamin E and handgrip strength (HGS) with multiple factors.
Methods
A total of 1,814 participants were included (822 men and 981 women) from the Korean subjects of the 7th Korea National Health and Nutrition Examination Survey in 2018. Data were analyzed using multiple logistic regression to determine the correlation between vitamin E and HGS with potential confounding factors.
Results
In the multiple logistic regression model, only the young age group (19–40 years) of men showed a positive relationship between vitamin E and HGS. However, in older age groups (41–80 years) of men and all age groups of women, there was no statistically significant result. After adjusting for confounding factors, young men showed higher vitamin E levels and higher HGS. Conversely, women and older age groups did not show significant results after adjusting for confounding factors.
Conclusion
In this study, the serum vitamin E level had a positive effect on HGS in young men (<40 years). Further research is needed on this topic regarding vitamin E intake and other objective measures.

Citations

Citations to this article as recorded by  
  • Role of Serum and Dietary Vitamins A and E in Pulmonary Function and Chronic Obstructive Pulmonary Disease: A Systematic Review
    Shabina Saifullah, Amna Ihsan, Syed Haris Ali Shah, Afshan Iftikhar, Muhammad Hassan Ali Khan, Naveed Pervez
    Pakistan Journal of Health Sciences.2025;[Epub]     CrossRef
  • Evaluation of personal water footprint components in Turkey: factors associated with obesity and food consumption
    Merve Şeyda Karaçil Ermumcu, Merve Esra Çıtar Dazıroğlu, Nazlıcan Erdoğan Gövez, Nilüfer Acar Tek
    International Journal of Environmental Health Research.2024; 34(1): 432.     CrossRef
  • Narrative Review of Sex Differences in Muscle Strength, Endurance, Activation, Size, Fiber Type, and Strength Training Participation Rates, Preferences, Motivations, Injuries, and Neuromuscular Adaptations
    James L. Nuzzo
    Journal of Strength & Conditioning Research.2023; 37(2): 494.     CrossRef
  • Effects of leucine-rich protein supplements in older adults with sarcopenia: A systematic review and meta-analysis of randomized controlled trials
    Sang Yoon Lee, Hyun Jeong Lee, Jae-Young Lim
    Archives of Gerontology and Geriatrics.2022; 102: 104758.     CrossRef
  • Handgrip Strength: An Irreplaceable Indicator of Muscle Function
    Sang Yoon Lee
    Annals of Rehabilitation Medicine.2021; 45(3): 167.     CrossRef
  • Folic Acid Is Related to Muscle Strength and Vitamin A Is Related to Health-Related Quality of Life: Results of the Korea National Health and Nutrition Examination Survey (KNHANES VII 2016–2018)
    Mee-Ri Lee, Sung Min Jung
    Nutrients.2021; 13(10): 3618.     CrossRef
  • 8,762 View
  • 167 Download
  • 5 Web of Science
  • 6 Crossref
The Predictive Value of Language Scales: Bayley Scales of Infant and Toddler Development Third Edition in Correlation With Korean Sequenced Language Scale for Infant
Joung Hyun Doh, Soo A Kim, Kiyoung Oh, Yuntae Kim, Nodam Park, Siha Park, Nam Hun Heo
Ann Rehabil Med 2020;44(5):378-385.   Published online September 28, 2020
DOI: https://doi.org/10.5535/arm.19198
Objective
To compare the relationship of the Bayley Scales of Infant and Toddler Development 3rd Edition (K-BSID-III) language score and the Sequenced Language Scale for Infant (SELSI) score and evaluate the sensitivity and specificity of K-BSID-III language score and optimal cutoff value with receiver operator characteristic (ROC) curve analysis in infants and toddlers with delayed language development.
Methods
A total of 104 children with suspected language developmental delay were included in this retrospective study. Subjects were tested using the K-BSID-III and SELSI and subdivided into several groups according to the severity of language scores. ROC curve analysis was performed to assess K-BSID-III for delayed language development.
Results
Receptive and expressive language subscales of the K-BSID-III showed markedly significant correlation with the SELSI scores (p<0.001). ROC analysis showed an area under the curve of 0.877 (p<0.001) in SELSI receptive score and 0.935 (p<0.001) in SELSI expressive score. The optimal cutoff value where sensitivity of 85% and specificity of 81% were achieved with the K-BSID-III receptive score was 1.50 (between average and low average) in the SELSI receptive score. The optimal cutoff value where sensitivity of 96% and specificity of 82% were achieved with the K-BSID-III expressive score was also 1.50 in the SELSI expressive score.
Conclusion
In this study, the correlations between K-BSID-III and SELSI language scores were statistically significant. However, the interpretation should be considered carefully in low average group due to tendency of underestimation of delayed language development.

Citations

Citations to this article as recorded by  
  • Longitudinal Analysis of Developmental Trajectories in Children With Language Delay
    Ji Hyun Park, Hoa Ngan Doan, Min Cheol Chang
    Clinical Pediatrics.2026;[Epub]     CrossRef
  • Gestational Age and Neurodevelopmental Outcomes in Preterm Children at Early Preschool Age: A Longitudinal Multidomain Logistic Modeling Study
    Ji Na Yang, Ye Kyeng Seo, Dong Hyun Kim, Nam Hun Heo, Soo A Kim, Jun Hwan Song, Seung Soo Kim
    Annals of Child Neurology.2026; 34(2): 109.     CrossRef
  • Comparative analysis of the effects of early breastfeeding versus formula feeding on the growthand development of preterm infants
    Paygozar Rasool
    Journal of the Selva Andina Research Society.2025; 16(2): 128.     CrossRef
  • Analysis of the impact of parents' electronic screen time habits, young children's screen exposure and parent-child interaction on language development delay in young children
    Xiaohong Wan, Xiaoqing Kang, Shunli Chen, Juan Du, Fang Yan, Yongqi Bai
    Frontiers in Pediatrics.2025;[Epub]     CrossRef
  • Short-term and long-term effects of skin-to-skin contact in healthy term infants: study protocol for a parallel-group double-blind randomised controlled trial
    Hannah Cho, Jiseon Park, Seung-Ah Choe, Juyoung Lee
    BMJ Open.2025; 15(10): e104809.     CrossRef
  • Effects and Predictors of Two-Person Small Group Speech Therapy in Children With Language Disorder: A Retrospective Observational Study
    Chang Hee Lee, Jecheon Seong, Yun Jung Lee, Jeonghun Kim, Aram Kim
    Annals of Rehabilitation Medicine.2025; 49(6): 392.     CrossRef
  • Neonatal outcomes of early preterm births according to the delivery indications
    Hyojeong Kim, Yu Mi Shin, Kyong-No Lee, Hyeon Ji Kim, Young Hwa Jung, Jee Yoon Park, Kyung Joon Oh, Chang Won Choi
    Early Human Development.2023; 186: 105873.     CrossRef
  • The effect of dexmedetomidine on neuroprotection in pediatric cardiac surgery patients: study protocol for a prospective randomized controlled trial
    Sang-Hwan Ji, Pyoyoon Kang, In-Sun Song, Young-Eun Jang, Ji-Hyun Lee, Jin-Tae Kim, Hee-Soo Kim, Eun-Hee Kim
    Trials.2022;[Epub]     CrossRef
  • Characteristics of Functional Speech Sound Disorders in Korean Children
    Min Jeong Han, Sun Jun Kim
    Annals of Child Neurology.2021; 30(1): 8.     CrossRef
  • 11,463 View
  • 1,248 Download
  • 8 Web of Science
  • 9 Crossref
Assessment of Preterm Infants Using the Bayley-III Scales in Korea
Sung Ho Ahn, Soo A Kim
Ann Rehabil Med 2017;41(5):843-850.   Published online October 31, 2017
DOI: https://doi.org/10.5535/arm.2017.41.5.843
Objective

To assess the well-being of preterm newborns using the Bayley-III scales in a Korean-based population, and to evaluate the perinatal risk factors influencing developmental outcome.

Methods

Using the Bayley-III scales, we assessed 120 preterm infants who were referred for evaluation of neurodevelopmental performance. We subdivided them into an extremely preterm group (n=18) and a very/moderate to late preterm group (n=102). Bayley-III mean scores and the rate of infants showing a delay were compared for both groups. The relationship between perinatal risk factors and Bayley-III scores was analyzed. The risk factors were considered as very low birth weight, history of neonatal medical problems, and abnormal radiologic findings in brain magnetic resonance images (MRIs).

Results

Although no significant differences in mean scores were observed between the extremely preterm group and the very/moderate to late preterm group, the rate of babies showing developmental delay in motor composite scores was significantly higher in the extremely preterm group. The proportions of preterm infants with cognitive, language, and motor delays were 38.3%, 26.7%, and 35.0%, respectively. Very low birth weight was a significant risk factor for low cognitive, language, and motor composite scores. Also, abnormal radiologic findings on brain MRI were significant indicators of lower motor composite scores.

Conclusion

Cognitive development was the most frequently delayed domain in preterm infants and motor development was more frequently delayed in the extremely preterm group. The very low birth weight and abnormal radiologic findings in brain MRI were predictive factors for neurodevelopmental outcome.

Citations

Citations to this article as recorded by  
  • Multimodal Graphical Network Analysis of Small-for-Gestational-Age in Preterm Infants: Integrating Neonatal Brain Volume, Structural Connectivity, and Early Neurodevelopmental Outcome
    Se Hyun Lee, Yong Hun Jang, Hyuna Kim, Gang Yi Lee, Hyun Ju Lee, Hyun Ho Kim
    Annals of Biomedical Engineering.2026;[Epub]     CrossRef
  • Regional Brain Volume Differences Were Associated With Behavioural Outcomes in Children Born Preterm: A Systematic Review
    Yolanda Marín Almagro, Macarena Román Ruiz, Natalia Jiménez Luque, Manuel Lubián Gutiérrez, Simón P. Lubián López, Isabel Benavente Fernández
    Acta Paediatrica.2026;[Epub]     CrossRef
  • Developmental Characteristics of High‐Risk Infants According to the Bayley Scales of Infant and Toddler Development–Third Edition
    Ju‐Young Park, Nam‐Hae Jung
    Child: Care, Health and Development.2025;[Epub]     CrossRef
  • Sex-differences in Mothers' own milk and neurodevelopmental outcomes in preterm infants
    Tingting Zhao, Aolan Li, Xiaolin Chang, Wanli Xu, Tyler Quinn, Jie Chen, Adam P. Matson, Ming-Hui Chen, Sarah N. Taylor, Xiaomei Cong
    Frontiers in Pediatrics.2025;[Epub]     CrossRef
  • Pilot study of association between neonatal brain perivascular space volume and neurodevelopmental outcomes at 24 months
    Arum Choi, Dayeon Bak, Ah-Ra Cho, Hosna Asma-ull, Yoonho Nam, Hyun Gi Kim
    BMC Medical Imaging.2025;[Epub]     CrossRef
  • Dataset on neonatal and maternal factors influencing neurodevelopmental outcomes in preterm infants: A study focused on the healthcare context of Mashhad, Iran
    Azadeh Darabi, Raheleh Faramarzi, Hassan Boskabadi, Gholamali Maamouri, Reyhane Rezvani
    Data in Brief.2024; 53: 110058.     CrossRef
  • Neurodevelopmental Outcomes of Preterm Infants Using Bayley Scale of Infant Development-III (BSID-III): A Tertiary Care Centre Study
    Shubha Athreya, Abhishek Paul, Venkatesh HA, Karthik Nagesh, Ravi Swamy
    Journal of Neonatology.2024; 38(4): 523.     CrossRef
  • Risk Factors of Language Delay at Two Years of Corrected Age among Very-Low-Birth-Weight Preterm Infants: A Population-Based Study
    Wei-Lun Tseng, Chia-Huei Chen, Jui-Hsing Chang, Chun-Chih Peng, Wai-Tim Jim, Chia-Ying Lin, Chyong-Hsin Hsu, Tzu-Yu Liu, Hung-Yang Chang
    Children.2023; 10(2): 189.     CrossRef
  • Predicting neurodevelopmental outcomes in preterm infants: A comprehensive evaluation of neonatal and maternal risk factors
    Raheleh Faramarzi, Azadeh Darabi, Maryam Emadzadeh, Gholamali Maamouri, Reyhane Rezvani
    Early Human Development.2023; 184: 105834.     CrossRef
  • Does the Degree of Prematurity Relate to the Bayley-4 Scores Earned by Matched Samples of Infants and Toddlers across the Cognitive, Language, and Motor Domains?
    Emily L. Winter, Jacqueline M. Caemmerer, Sierra M. Trudel, Johanna deLeyer-Tiarks, Melissa A. Bray, Brittany A. Dale, Alan S. Kaufman
    Journal of Intelligence.2023; 11(11): 213.     CrossRef
  • Neurodevelopmental Outcomes of Very-Low-Birth-Weight Infants without Severe Brain Lesions and Impact of Postnatal Steroid Use: A Single-Center Korean Study
    Mun Hui Jeong, Seong Hee Jeong, Su Jeong Park, Narae Lee, Mi-Hye Bae, Kyung-Hee Park, Shin-Yun Byun, Choongrak Kim, Young Mi Han
    Neonatal Medicine.2022; 29(1): 36.     CrossRef
  • Predicting age and clinical risk from the neonatal connectome
    Yassine Taoudi-Benchekroun, Daan Christiaens, Irina Grigorescu, Oliver Gale-Grant, Andreas Schuh, Maximilian Pietsch, Andrew Chew, Nicholas Harper, Shona Falconer, Tanya Poppe, Emer Hughes, Jana Hutter, Anthony N Price, J-Donald Tournier, Lucilio Cordero-
    NeuroImage.2022; 257: 119319.     CrossRef
  • Detecting developmental delays in infants from a low-income South African community: comparing the BSID-III and PEDS tools
    Shabnam Abdoola, De Wet Swanepoel, Jeannie Van Der Linde, Frances P. Glascoe
    Early Child Development and Care.2021; 191(4): 545.     CrossRef
  • Developmental Outcome of Very-Low-Birth-Weight Infants without Major Brain Injuries Based on Data from the Korean Neonatal Network: A Nationwide Cohort Study
    Jong Ho Cha, Nayeon Choi, Yun Jin Kim, Hyun Ju Lee, Chang Ryul Kim, Hyun-Kyung Park
    Neonatal Medicine.2020; 27(4): 151.     CrossRef
  • 8,323 View
  • 139 Download
  • 11 Web of Science
  • 14 Crossref
The Relationship Between Sleep Disturbance and Functional Status in Mild Stroke Patients
Jinil Kim, Yuntae Kim, Kwang Ik Yang, Doh-eui Kim, Soo A Kim
Ann Rehabil Med 2015;39(4):545-552.   Published online August 25, 2015
DOI: https://doi.org/10.5535/arm.2015.39.4.545
Objective

To investigate the sleep state of mild stroke patients and relationship between sleep disturbance and functional status.

Methods

A total of 80 acute stroke patients were enrolled in this study. The criteria for inclusion in the study was as following: 1) first stroke, 2) cognitive function preserved enough to perform the test (Mini Mental State Examination ≥24), 3) good functional levels (Modified Rankin Scale ≤3), 4) upper extremity motor function preserved enough to perform occupational tests (hand strength test, Purdue pegboard test, 9-hole peg test, and Medical Research Council score ≥3), and 5) less than 2 weeks between the stroke and the assessment. Quality of sleep was assessed by using Pittsburg Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), and Stanford Sleepiness Scale (SSS). Activities of daily living was assessed by using the Modified Barthel Index (MBI) and depressed mood was assessed by using the Beck Depression Inventory (BDI). Gross and fine motor function of the upper extremity was assessed by using hand strength test (Jamar dynamometer), Purdue pegboard test, and the 9-hole peg test.

Results

The results of the occupational assessment were fine in the good sleepers. The PSQI, ESS, and ISI were correlated with some of the assessment tools (BDI, MBI, Purdue pegboard, 9-hole peg, and hand strength).

Conclusion

In conclusion, this study emphasizes that sleep disturbance can affect the functional status in mild acute stroke patients. Therefore, clinicians must consider sleep status in stroke patients and need to work to control it.

Citations

Citations to this article as recorded by  
  • Prevalence of post-stroke poor sleep quality: a meta-analysis of Pittsburgh Sleep Quality Index results
    Yu Zhou, Bi Guan, Rong Tang, Qiongyao Zhong, Liangnan Zeng
    Frontiers in Neurology.2026;[Epub]     CrossRef
  • Sleep dysfunction in stroke survivors impacts caregiver burden and functional recovery-an observational study
    Avinash Kulkarni, S. C. Chandralekha, Sapna Erat Sreedharan
    Sleep and Breathing.2025;[Epub]     CrossRef
  • Depression symptoms best explained insomnia complaints after stroke – a cross-sectional study
    Ruani Araújo Tenório, Patrick Roberto Avelino, Luciano Fonseca Lemos de Oliveira, Christina Danielli Coelho de Morais Faria, Luci Fuscaldi Teixeira-Salmela, Andressa Silva, Aline Alvim Scianni
    Journal of Bodywork and Movement Therapies.2025; 44: 365.     CrossRef
  • The relationship between sleep disorders and frailty in stroke patients: the mediating role of self-efficacy
    Shuyuan Niu, Manjiang Liu, Yingjie Lin, Peiqi Gu, Li Zhao
    Frontiers in Psychiatry.2025;[Epub]     CrossRef
  • Sleep duration and long-term mortality after stroke: A nationwide analysis
    Sara Hassani, Bruce Ovbiagele, Daniela Markovic, Amytis Towfighi
    Journal of Stroke and Cerebrovascular Diseases.2025; 34(9): 108399.     CrossRef
  • Exploring the Mediating Role of Sleep Deficit-Related Functional Status in Subacute Stroke Survivors
    Sunil Kumar, Sarah Parveen, Md Dilshad Manzar, Ahmad H. Alghadir, Masood Khan, Khalid Wasel Al-Quliti, David Warren Spence, Seithikurippu R. Pandi-Perumal, Ahmed S. Bahammam, Majumi M. Noohu
    Medicina.2024; 60(3): 422.     CrossRef
  • Development of insomnia in patients with stroke: A systematic review and meta-analysis
    Junwei Yang, Aitao Lin, Qingjing Tan, Weihua Dou, Jinyu Wu, Yang Zhang, Haohai Lin, Baoping Wei, Jiemin Huang, Juanjuan Xie, Tanja Grubić Kezele
    PLOS ONE.2024; 19(4): e0297941.     CrossRef
  • Rest-Activity Rhythm Differences in Acute Rehabilitation Between Poststroke Patients and Non–Brain Disease Controls: Comparative Study
    Huey-Wen Liang, Chueh-Hung Wu, Chen Lin, Hsiang-Chih Chang, Yu-Hsuan Lin, Shao-Yu Chen, Wei-Chen Hsu
    Journal of Medical Internet Research.2024; 26: e49530.     CrossRef
  • The relationship between sleep and physical activity in an in-patient rehabilitation stroke setting: a cross-sectional study
    Ching Hei Chow, Francois Fraysse, Susan Hillier
    Topics in Stroke Rehabilitation.2023; 30(1): 43.     CrossRef
  • Post-Stroke Insomnia Increased the Risk of Cognitive Impairments: A Hospital-Based Retrospective Cohort Study
    Faizul Hasan, Muhammad Solihuddin Muhtar, Dean Wu, Hsin-Chien Lee, Yen-Chun Fan, Ting-Jhen Chen, Hsiao-Yean Chiu
    Behavioral Sleep Medicine.2023; 21(6): 802.     CrossRef
  • Measuring Sleep Quality in the Hospital Environment with Wearable and Non-Wearable Devices in Adults with Stroke Undergoing Inpatient Rehabilitation
    Michael Pellegrini, Natasha A. Lannin, Richelle Mychasiuk, Marnie Graco, Sharon Flora Kramer, Melita J. Giummarra
    International Journal of Environmental Research and Public Health.2023; 20(5): 3984.     CrossRef
  • Study of the obstructive sleep apnea syndrome in cerebral infarction patients
    Tien Hoang-Anh, Quy Duong-Minh, Nhi Nguyen-Thi-Y, Sy Duong-Quy
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • Increasing of Cortisol Level and Neutrophil-Lymphocyte-Ratio are Associated with Severity Level and Sleep Disturbances in Acute Ischemic Stroke
    Lisda Amalia, Mitha Garyani, Nushrotul Lailiyya
    International Journal of General Medicine.2023; Volume 16: 5439.     CrossRef
  • Pain and Sleep Disturbances are Associated with Post-stroke Anger Proneness and Emotional Incontinence
    Adekola B. Ademoyegun, Wasiu A. Rasaq, Omotola I. Adelowokan, Victor A. Afolabi, Adebukola G. Ibitoye, Taofeek O. Awotidebe, Chidozie E. Mbada
    Rehabilitacja Medyczna.2023;[Epub]     CrossRef
  • Objectivizing Measures of Post-Stroke Hand Rehabilitation through Multi-Disciplinary Scales
    Klaudia Marek, Justyna Redlicka, Elżbieta Miller, Igor Zubrycki
    Journal of Clinical Medicine.2023; 12(23): 7497.     CrossRef
  • SAS CARE 1: Sleep architecture changes in a cohort of patients with Ischemic Stroke/TIA
    S. Miano, F. Fanfulla, L. Nobili, R. Heinzer, J. Haba-Rubio, M. Berger, C.W. Cereda, M.H. Schmidt, M. Manconi, C.L.A. Bassetti
    Sleep Medicine.2022; 98: 106.     CrossRef
  • The Relationship between Oxidative Stress and Subjective Sleep Quality in People with Coronary Artery Disease
    Vivian Feng, Shankar Tumati, Ruoding Wang, Kritleen K. Bawa, Damien Gallagher, Nathan Herrmann, Susan Marzolini, Paul Oh, Ana Andreazza, Krista L. Lanctôt
    Brain Sciences.2022; 12(8): 1070.     CrossRef
  • Microglia Are Necessary to Regulate Sleep after an Immune Challenge
    Rachel K. Rowe, Tabitha R. F. Green, Katherine R. Giordano, J. Bryce Ortiz, Sean M. Murphy, Mark R. Opp
    Biology.2022; 11(8): 1241.     CrossRef
  • Objective and subjective measures of sleep in men with Muscular Dystrophy
    Christopher I. Morse, Gladys Onambele-Pearson, Bryn Edwards, Sze Choong Wong, Matthew F. Jacques, Pei-Lin Lee
    PLOS ONE.2022; 17(9): e0274970.     CrossRef
  • Study Protocol
    Karen J. Klingman, Joseph D. Skufca, Pamela W. Duncan, Dongliang Wang, George D. Fulk
    Nursing Research.2022; 71(6): 483.     CrossRef
  • Clinical course and risk factors for sleep disturbance in patients with ischemic stroke
    Hui-Ju Tsai, Yi-Sin Wong, Cheung-Ter Ong, Claudio Liguori
    PLOS ONE.2022; 17(11): e0277309.     CrossRef
  • Prevalence of suicidal ideation among stroke survivors: A systematic review and meta-analysis
    Xingxing Chen, Hua Zhang, Gui Xiao, Chuanzhu Lv
    Topics in Stroke Rehabilitation.2021; 28(7): 545.     CrossRef
  • Depressive symptoms and functional status are associated with sleep quality after stroke
    Leonardo Carvalho Silva, Andressa Silva, Marcela Ferreira De Andrade Rangel, Lívia Cristina Guimarães Caetano, Luci Fuscaldi Teixeira-Salmela, Aline Alvim Scianni
    Topics in Stroke Rehabilitation.2021; 28(8): 573.     CrossRef
  • Dynamic Prevalence of Sleep Disorders Following Stroke or Transient Ischemic Attack
    Faizul Hasan, Christopher Gordon, Dean Wu, Hui-Chuan Huang, Lia Taurussia Yuliana, Budi Susatia, Ollyvia Freeska Dwi Marta, Hsiao-Yean Chiu
    Stroke.2021; 52(2): 655.     CrossRef
  • Contribution of sleep quality to fatigue following a stroke: a cross-sectional study
    Lily Yuen Wah Ho, Claudia Kam Yuk Lai, Shamay Sheung Mei Ng
    BMC Neurology.2021;[Epub]     CrossRef
  • A literature review of factors associated with fatigue after stroke and a proposal for a framework for clinical utility
    Rannveig Aarnes, Jan Stubberud, Anners Lerdal
    Neuropsychological Rehabilitation.2020; 30(8): 1449.     CrossRef
  • Mental health according to sleep duration in stroke survivors: A population‐based nationwide cross‐sectional study
    Hye‐Mi Moon, Yoonjung Kim
    Geriatrics & Gerontology International.2020; 20(3): 223.     CrossRef
  • Inconsistent Classification of Mild Stroke and Implications on Health Services Delivery
    Pamela S. Roberts, Shilpa Krishnan, Suzanne Perea Burns, Debra Ouellette, Monique R. Pappadis
    Archives of Physical Medicine and Rehabilitation.2020; 101(7): 1243.     CrossRef
  • Sleep disturbance predicts future health status after stroke
    Irene L. Katzan, Nicolas R. Thompson, Harneet K. Walia, Douglas E. Moul, Nancy Foldvary-Schaefer
    Journal of Clinical Sleep Medicine.2020; 16(11): 1863.     CrossRef
  • Relationship between SDB and short‐term outcome in Finnish ischemic stroke patients
    Tuuli‐Maria Haula, Juha Puustinen, Mari Takala, Anu Holm
    Brain and Behavior.2020;[Epub]     CrossRef
  • The Impact of Sleep Disorders on Functional Recovery and Participation Following Stroke: A Systematic Review and Meta-Analysis
    George D. Fulk, Pierce Boyne, Makenzie Hauger, Raktim Ghosh, Samantha Romano, Jonathan Thomas, Amy Slutzky, Karen Klingman
    Neurorehabilitation and Neural Repair.2020; 34(11): 1050.     CrossRef
  • Prevalence of insomnia and daytime sleepiness in poststroke patients
    Shaimaa Y. AbdElaziz, Rasha S. Elattar, Sammar A. Kasim
    The Scientific Journal of Al-Azhar Medical Faculty, Girls.2020; 4(4): 606.     CrossRef
  • Role of Glia in the Regulation of Sleep in Health and Disease
    Stefano Garofalo, Katherine Picard, Cristina Limatola, Agnès Nadjar, Olivier Pascual, Marie‐Ève Tremblay
    Comprehensive Physiology.2020; 10(2): 687.     CrossRef
  • Understanding Mental Health Needs After Mild Stroke
    Alexandra L. Terrill, Jaclyn K. Schwartz, Samir Belagaje
    Archives of Physical Medicine and Rehabilitation.2019; 100(5): 1003.     CrossRef
  • Best Practices for The Interdisciplinary Rehabilitation Team: A Review of Mental Health Issues in Mild Stroke Survivors
    Alexandra L. Terrill, Jaclyn K. Schwartz, Samir R. Belagaje
    Stroke Research and Treatment.2018; 2018: 1.     CrossRef
  • Social support, mastery, sleep-related problems and their association with functional status in untreated obstructive sleep apnoea patients
    Vladimira Timkova, Iveta Nagyova, Sijmen A. Reijneveld, Ruzena Tkacova, Jitse P. van Dijk, Ute Bültmann
    Heart & Lung.2018; 47(4): 371.     CrossRef
  • Gender-Specific Differences for Risk of Disability and Death in Atrial Fibrillation-Related Stroke
    Ryan C. Martin, W. Scott Burgin, Matthew B. Schabath, Bonnie Kirby, Sanders H. Chae, Michael G. Fradley, David Z. Rose, Arthur J. Labovitz
    The American Journal of Cardiology.2017; 119(2): 256.     CrossRef
  • A Preliminary Investigation of the Association of Sleep With Inflammation and Oxidative Stress Biomarkers and Functional Outcomes After Stroke Rehabilitation
    Ting-ting Yeh, Yu-wei Hsieh, Ching-yi Wu, Jong-shyan Wang, Keh-chung Lin, Chia-ling Chen
    Scientific Reports.2017;[Epub]     CrossRef
  • Relationship of nocturnal concentrations of melatonin, gamma-aminobutyric acid and total antioxidants in peripheral blood with insomnia after stroke: study protocol for a prospective non-randomized controlled trial
    Wei Zhang, Fang Li, Tong Zhang
    Neural Regeneration Research.2017; 12(8): 1299.     CrossRef
  • Post-acute hospital healthcare services for people with mild stroke: a scoping review
    Tenelle Hodson, Louise Gustafsson, Petrea Cornwell, Amanda Love
    Topics in Stroke Rehabilitation.2017; 24(4): 288.     CrossRef
  • The role of sleep in recovery following ischemic stroke: A review of human and animal data
    Simone B. Duss, Andrea Seiler, Markus H. Schmidt, Marta Pace, Antoine Adamantidis, René M. Müri, Claudio L. Bassetti
    Neurobiology of Sleep and Circadian Rhythms.2017; 2: 94.     CrossRef
  • Factors Affecting Poststroke Sleep Disorders
    Burcu Karaca
    Journal of Stroke and Cerebrovascular Diseases.2016; 25(3): 727.     CrossRef
  • 9,676 View
  • 80 Download
  • 44 Web of Science
  • 42 Crossref
Ischemic Compression After Trigger Point Injection Affect the Treatment of Myofascial Trigger Points
Soo A Kim, Ki Young Oh, Won Hyuck Choi, In Kyum Kim
Ann Rehabil Med 2013;37(4):541-546.   Published online August 26, 2013
DOI: https://doi.org/10.5535/arm.2013.37.4.541
Objective

To investigate the effects of trigger point injection with or without ischemic compression in treatment of myofascial trigger points in the upper trapezius muscle.

Methods

Sixty patients with active myofascial trigger points in upper trapezius muscle were randomly divided into three groups: group 1 (n=20) received only trigger point injections, group 2 (n=20) received trigger point injections with 30 seconds of ischemic compression, and group 3 (n=20) received trigger point injections with 60 seconds of ischemic compression. The visual analogue scale, pressure pain threshold, and range of motion of the neck were assessed before treatment, immediately after treatment, and 1 week after treatment. Korean Neck Disability Indexes were assessed before treatment and 1 week after treatment.

Results

We found a significant improvement in all assessment parameters (p<0.05) in all groups. But, receiving trigger point injections with ischemic compression group showed significant improvement as compared with the receiving only trigger point injections group. And no significant differences between receiving 30 seconds of ischemic compression group and 60 seconds of ischemic compression group.

Conclusion

This study demonstrated the effectiveness of ischemic compression for myofascial trigger point. Trigger point injections combined with ischemic compression shows better effects on treatment of myofascial trigger points in the upper trapezius muscle than the only trigger point injections therapy. But the duration of ischemic compression did not affect treatment of myofascial trigger point.

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Comparison of Manual Balance and Balance Board Tests in Healthy Adults
Ki Young Oh, Soo A Kim, Seung Yeol Lee, Young Seop Lee
Ann Rehabil Med 2011;35(6):873-879.   Published online December 30, 2011
DOI: https://doi.org/10.5535/arm.2011.35.6.873
Objective

To investigate the correlations of scores on the Timed Up and Go (TUG) test and the Single Leg Stance (SLS) test with stability scores on the Biodex Balance System (BBS) in healthy adults.

Method

The postural balance of 73 participants was measured on the TUG and SLS tests and with the Overall Stability Index (OSI) on the BBS. The participants were divided into groups by age and by times on the TUG and SLS. The correlations between TUG or SLS and OSI scores were analyzed by groups.

Results

TUG scores were significantly correlated with OSI scores in age under 65 years, TUG over 10 seconds and SLS over 30 seconds groups (level 12). TUG scores were also correlated with OSI in total (level 10) and TUG under 10 seconds groups (level 2). However, there were no significant relationships between SLS and OSI scores.

Conclusion

OSI scores on the BBS are significantly correlated with TUG scores, especially at the easy levels. According to the findings of present study, relatively easy BBS levels are considered to assess the postural balance in healthy adults.

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Predictive Value of Test of Infant Motor Performance for Infants based on Correlation between TIMP and Bayley Scales of Infant Development
Soo A Kim, Yong Jin Lee, Yang Gyun Lee
Ann Rehabil Med 2011;35(6):860-866.   Published online December 30, 2011
DOI: https://doi.org/10.5535/arm.2011.35.6.860
Objective

To assess the relationship of scores on the test of infant motor performance (TIMP), with those on the Bayley scales of infant development (BSID), and to investigate the sensitivity and specificity of TIMP and the optimal cut-off value of TIMP scores using ROC analysis.

Method

Seventy-six preterm and term infants were recruited from neonatal intensive care units. Subjects were tested with the TIMP at their initial visit and after 6 months, they were tested by using BSID.

Results

In the reliability study, TIMP scores showed highly significant correlation with the Bayley physical developmental index (BPDI) (p=0.001) and Bayley mental developmental index (BMDI) (p=0.017). Receiver operator characteristics (ROC) curve analysis was performed to evaluate the TIMP test for screening infant motor development. ROC analysis showed an area under the curve (AUC) of 0.825 (p=0.005) in BPDI and 0.992 (p=0.014) in BMDI, indicating an excellent classification performance of the model. The optimal cut-off value where a sensitivity of 86%, and specificity of 68% were achieved with the TIMP was 1.50 (between average and below average) in BPDI and where a sensitivity of 100%, and specificity of 66% were achieved with the TIMP was 1.50 in BMDI.

Conclusion

Our results indicate that the TIMP provides a reliable and valid measurement that can be used for the evaluation of motor function in preterm and term infants. TIMP was highly sensitive and specific with the follow-up examination of BSID. Therefore it can be used as a reliable screening tool for neonates and infants aged <4 months.

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