scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Musculoskeletal symptoms among radiologists in Saudi Arabia: a multi-center cross-sectional study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Gadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
Musculoskeletal Symptoms ◽  
Body Region ◽  
Viewing Distance ◽  
Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Qadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Medical Images ◽  
Musculoskeletal Symptoms ◽  
Multivariable Logistic Regression Analysis ◽  
Cross Sectional ◽  
Computed Tomography Images

Abstract Background : Musculoskeletal disorders account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains, predisposing them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists tend to spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and to the factors that contribute to these symptoms. Methods : An online survey was sent to radiologists practicing in hospitals in the Eastern Province of Saudi Arabia. The survey addressed demographic characteristics, workload, and workstation environments, and included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. Results were analyzed descriptively using the Chi-square test and logistic regression analysis. Results : The survey was completed by 198 participants (111 men and 87 women). Most participants were aged below 40 years. The proportions of radiology residents, specialists, and consultants who completed the survey were 40.9%, 27.3%, and 27.3%, respectively. Most participants spent 7-9 hours per day reviewing medical images. In total, 140 (70.7%) participants had experienced musculoskeletal symptoms in the week preceding the survey, whereas 176 (88.9%) participants reported having symptoms in the last 12 months preceding the survey. The normal daily activities of 15.2%, 14.6%, and 14.6% of survey participants were restricted in the last 12 months, due to neck, lower back, and shoulder pain respectively. Significant contributing factors for musculoskeletal symptoms included age, sex, number of hours spent reviewing medical images, and the type of medical images predominantly reviewed. A multivariable logistic regression analysis revealed that radiologists who spent most of their time performing ultrasound scanning or reviewing computed tomography images were at higher risk of developing musculoskeletal symptoms. Conclusions : Musculoskeletal symptoms are common among radiologists. The high prevalence rate among our study participants indicates the need for preventive actions, such as increasing awareness of this issue among practicing radiologists, educating practitioners about the adverse effects of prolonged sitting, and providing training to ensure proper ergonomic practices.

scholarly journals Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

2019 ◽  
Author(s):  
Malak Al Shammari ◽  
Ali Hassan ◽  
Omran Al Dandan ◽  
Mohammed Al Qadeeb ◽  
Dalal Bubshait
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Medical Images ◽  
Musculoskeletal Symptoms ◽  
Multivariable Logistic Regression Analysis ◽  
Cross Sectional ◽  
Computed Tomography Images

Abstract Background : Musculoskeletal disorders account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains, predisposing them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists tend to spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and to the factors that contribute to these symptoms. Methods : An online survey was sent to radiologists practicing in hospitals in the Eastern Province of Saudi Arabia. The survey addressed demographic characteristics, workload, and workstation environments, and included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. Results were analyzed descriptively using the Chi-square test and logistic regression analysis. Results : The survey was completed by 198 participants (111 men and 87 women). Most participants were aged below 40 years. The proportions of radiology residents, specialists, and consultants who completed the survey were 40.9%, 27.3%, and 27.3%, respectively. Most participants spent 7-9 hours per day reviewing medical images. In total, 140 (70.7%) participants had experienced musculoskeletal symptoms in the week preceding the survey, whereas 176 (88.9%) participants reported having symptoms in the last 12 months preceding the survey. The normal daily activities of 15.2%, 14.6%, and 14.6% of survey participants were restricted in the last 12 months, due to neck, lower back, and shoulder pain respectively. Significant contributing factors for musculoskeletal symptoms included age, sex, number of hours spent reviewing medical images, and the type of medical images predominantly reviewed. A multivariable logistic regression analysis revealed that radiologists who spent most of their time performing ultrasound scanning or reviewing computed tomography images were at higher risk of developing musculoskeletal symptoms. Conclusions : Musculoskeletal symptoms are common among radiologists. The high prevalence rate among our study participants indicates the need for preventive actions, such as increasing awareness of this issue among practicing radiologists, educating practitioners about the adverse effects of prolonged sitting, and providing training to ensure proper ergonomic practices.

Methods of Radiology Reports Generation and Patterns of Associated Musculoskeletal Symptoms: A Cross-Sectional Multi-Center Study

2020 ◽  
Author(s):  
Omran Al Dandan ◽  
Ali Hassan ◽  
Hind Alsaif ◽  
Malak Al Shammari ◽  
Danya Gari ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Musculoskeletal Symptoms ◽  
Multivariable Logistic Regression Analysis ◽  
Chi Square ◽  
Cross Sectional ◽  
Radiology Reports ◽  
Multi Center Study

Abstract Objectives This study aimed to investigate the association between the methods used to generate radiology reports and the prevalence of musculoskeletal symptoms among radiologists. Additionally, we investigated the factors associated with the use of such methods. Methods An online survey was sent to radiologists practicing in hospitals in the Eastern Province of Saudi Arabia. The survey addressed demographic characteristics, work environment, and methods used to generate radiology reports and included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. Results were analyzed descriptively using the Chi-square test and logistic regression analysis. Results The survey was completed by 198 radiologists (111 men and 87 women), including residents (40.9%), specialists (27.3%), and consultants (31.8%). Most participants (71.2%) were aged below 40 years. In total, 140 (70.7%) participants had experienced musculoskeletal symptoms in the week preceding the survey. The most popular method used to generate radiology reports was typing using a keyboard, with 64.1% of participants using this method, followed by a handheld dictation device (49.5%). Radiologists with limited years of practice more frequently generated reports via keyboard typing, particularly those with <1-year of experience (35.8%). A multivariable logistic regression analysis revealed that radiologists who used handheld dictation devices were at higher risk of developing musculoskeletal symptoms. Conclusions Musculoskeletal symptoms are common among radiologists. Radiologists who use handheld dictation devices were particularly likely to report experiencing musculoskeletal symptoms. These devices were less commonly used among radiologists with fewer years of experience.

scholarly journals Workplace Violence Against Nurses in Psychiatric Hospital Settings: Perspectives from Saudi Arabia

2019 ◽  
Vol 19 (1) ◽  
pp. 19 ◽  
Author(s):  
Wafa Basfr ◽  
Ahlam Hamdan ◽  
Samia Al-Habib
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Workplace Violence ◽  
Multivariate Logistic Regression Analysis ◽  
Psychiatric Hospitals ◽  
Multivariate Logistic Regression ◽  
Violent Behaviour ◽  
Cross Sectional

Objectives: Workplace violence (WPV) has become a world-wide concern. This study aimed to measure the prevalence of WPV among nurses working in psychiatric hospitals in Saudi Arabia. Methods: This cross-sectional study was conducted at three psychiatric hospitals in Saudi Arabia between March and May 2017. Participants completed a self-reported questionnaire which was used to measure the prevalence and explore the associated factors of WPV. A multivariate logistic regression analysis was also performed. Results: A total of 310 nurses (response rate: 62%) were included in this study. The prevalence of WPV against nurses was 90.3%, of which 57.7% had been exposed to both physical and verbal abuse. More nurses were exposed to WPV during the morning shift than the evening shift (58.4% versus 42.3%). Violent behaviour was exhibited mostly by the patients themselves (81.3%). Over half of the nurses (57.4%) required medical intervention in such cases. The majority of nurses felt either stressed (64.2%) or anxious (53.5%) and 34.2% felt depressed after the incident. Multivariate logistic regression analysis revealed that time of violence, source of violence, patient dissatisfaction with medical care and lack of organisational support for nurses were significantly associated with the occurrence of WPV in psychiatric units. Conclusion: WPV has reached an alarming rate among nurses in psychiatric hospitals in Saudi Arabia. It is crucial to invest in the prevention of WPV by constant training of workers and a mutual policy with the police and the civic prosecutor in Saudi Arabia on how to respond to violent psychiatric patients. Keywords: Workplace Violence; Psychiatry; Nurse; Mental Health; Saudi Arabia.

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

Cross-Sectional Examination of Homocysteine Levels with Sarcopenia and Its Components in Memory Clinic Outpatients

2021 ◽  
pp. 1-10
Author(s):  
Yosuke Yamada ◽  
Hiroyuki Umegaki ◽  
Fumie Kinoshita ◽  
Chi Hsien Huang ◽  
Taiki Sugimoto ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Linear Regression ◽  
Logistic Regression Analysis ◽  
Linear Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Memory Clinic ◽  
Cross Sectional

Background: Homocysteine is a common risk factor for cognitive impairment and sarcopenia. However, very few studies have shown an association between sarcopenia and serum homocysteine levels after adjustment for cognitive function. Objective: The purpose of this study was to investigate the relationship between homocysteine and sarcopenia in memory clinic patients. Methods: This cross-sectional study investigated outpatients in a memory clinic. We enrolled 1,774 participants (≥65 years old) with measured skeletal muscle mass index (SMI), hand grip strength (HGS), and homocysteine. All participants had undergone cognitive assessments and were diagnosed with dementia, mild cognitive impairment, or normal cognition. Patient characteristics were compared according to sarcopenia presence, SMI level, or HGS. Multivariate logistic regression analysis was performed to determine the association of homocysteine with sarcopenia, low SMI, or low HGS. Next, linear regression analysis was performed using HGS as a continuous variable. Results: Logistic regression analysis showed that low HGS was significantly associated with homocysteine levels (p = 0.002), but sarcopenia and low SMI were not. In linear regression analysis, HGS was negatively associated with homocysteine levels after adjustment for Mini-Mental State Examination score (β= –2.790, p <  0.001) or clinical diagnosis of dementia (β= –3.145, p <  0.001). These results were similar for men and women. Conclusion: Our results showed a negative association between homocysteine and HGS after adjustment for cognitive function. Our findings strengthen the assumed association between homocysteine and HGS. Further research is needed to determine whether lower homocysteine levels lead to prevent muscle weakness.

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