scholarly journals Effects of patient-handling and individual factors on the prevalence of low back pain among nursing personnel

Work ◽  
2017 ◽  
Vol 56 (4) ◽  
pp. 551-561 ◽  
Author(s):  
Seyed Ehsan Samaei ◽  
Maryam Mostafaee ◽  
Hasanali Jafarpoor ◽  
Majid Bagheri Hosseinabadi
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Nursing Personnel ◽  
Individual Factors ◽  
Low Back ◽  
Patient Handling

scholarly journals The effectiveness of social media and in‐person interventions for low back pain conditions in nursing personnel (SMILE)

Nursing Open ◽  
2020 ◽  
Author(s):  
Seyedeh‐Somayeh Kazemi ◽  
Sedigheh‐Sadat Tavafian ◽  
Claire E. Hiller ◽  
Alireza Hidarnia ◽  
Ali Montazeri
Keyword(s):  
Social Media ◽  
Low Back Pain ◽  
Back Pain ◽  
Nursing Personnel ◽  
Low Back

Low back pain prevalence and associated factors in nurses from Brazilian primary health units

Work ◽  
2021 ◽  
Vol 70 (1) ◽  
pp. 279-285
Author(s):  
Ricardo Nunes Corrêa Pinto ◽  
Marcelo Cozzensa da Silva ◽  
Eduardo Lucia Caputo ◽  
Marlos Rodrigues Domingues
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Perceived Health ◽  
Individual Characteristics ◽  
Nursing Personnel ◽  
Hospital Environment ◽  
Low Back ◽  
Work Activity ◽  
Primary Health ◽  
Structure Perception

BACKGROUND: Primary health unit (PHU) nursing work is different when compared to hospital environment. Although low back pain (LBP) literature presents studies conducted in hospital nursing personnel, there is a lack of studies in PHU nurses. OBJECTIVE: This study aimed to measure the prevalence of LBP in PHU nursing personnel in the city of Pelotas, Brazil. METHODS: Sociodemographic (age, gender, number of children, skin color, income and marital status), occupational (PHU type, formal education, professional experience, weekly workload, extra work activity, workload perception), nutritional (BMI), health (self-perceived health, smoking, sleep quality and minor psychiatric disorders, PHU physical structure perception) and behavioral (leisure-time physical activity) characteristics were assessed. LBP was defined as pain or discomfort between the last rib and gluteal fold. Poisson regression was used to evaluate the relationship among LBP and covariates. RESULTS: LBP prevalence was 65.2%. Chronic (12 weeks) and acute (7 days) LBP prevalence were 22.4%and 53.4%, respectively. LBP was associated with obesity (PR 1.39 95%CI 1.01–1.92) and poor self-perceived health (PR 2.77 95%CI 1.32–5.80). CONCLUSIONS: Prevalence of LBP in PHU nursing personnel is high and similar to hospital nurses. Individual characteristics such as body mass and health perception were associated with LBP.

Magnitude of Low Back Pain and Associated Factors Among Nurses Working at Intensive Care Unit in Amhara Region Public Hospitals, Ethiopia  

2021 ◽  
Author(s):  
Bitew Tefera ◽  
Haymanot Zeleke ◽  
Abebe Abate ◽  
Haimanot Abebe ◽  
Zebene Mekonnen ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Low Back Pain ◽  
Back Pain ◽  
Public Hospitals ◽  
Assistive Device ◽  
Low Back ◽  
Amhara Region ◽  
Patient Handling ◽  
Intensive Care Unit Nurses

Abstract Background Low back pain is a common public health problem throughout the world with the global prevalence from 28–86%. Nurses working in intensive care units are handling people who are critically ill and helpless, which requires more assistance for transferring and handling activities. This possesses a risk for low back pain but little is known about it in Ethiopia. The aim of this study was to assess the magnitude of low back pain and associated factors among nurses who work at an intensive care units in Amhara region public hospitals, North Ethiopia. Methods A multi-centered institution-based cross-sectional study was conducted at Amhara region public hospitals from March 1–30/2020. Simple random sampling technique after proportional allocation was used to select the study participants. Data were collected using a standard modified Nordic musculoskeletal assessment tool. After data were checked for completeness and consistency, it was entered into Epidata version 3.1 and exported to Statistical Package for Social Science software version 26 for analysis. Descriptive statistics were computed. A binary logistic regression model was used to identify factors associated with low back pain. Finally, those variables with a p-value of < 0.05 in multivariable analysis were considered statistically significant. Result -The study was conducted among 412 intensive care unit nurses giving a response rate of 97.6%. The magnitude of low back pain was 313 (76 %) [95% CI: (71.6%-79.9%)]. Being female [AOR = 2.674 (1.404, 5.076)], unavailability of assistive device for patient handling [AOR = 2.139 (1.035, 4.410)], lack of training on intensive care [AOR = 2.017 (1.092 ,3.943)], lack of regular exercise [AOR = 2.164 (1.164 ,4.108)] and job stress [AOR = 3.66 (1.955, 6.498)] were factors significantly associated with low back pain. Conclusions In this study the magnitude of low back pain was high. Being female, unavailability of assistive device for patient handling, lack of training on intensive care, lack of regular exercise and job stress were factors associated with low back pain. Policy makers and concerned bodies should give emphasis on accessability of assistive devices for patient care, provision of training on intensive care and adaptive working environment for intensive care unit nurses.

Are psychosocial factors associated with low-back pain among nursing personnel?

Work & Stress ◽  
2002 ◽  
Vol 16 (1) ◽  
pp. 79-87 ◽  
Author(s):  
Henrik Gonge ◽  
Lone Donbæk Jensen ◽  
Jens Peter Bonde
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Psychosocial Factors ◽  
Nursing Personnel ◽  
Low Back ◽  
Factors Associated

scholarly journals Factors associated with disabling low back pain among nursing personnel at a medical centre in Japan: a comparative cross-sectional survey

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e032297 ◽  
Author(s):  
Takahiko Yoshimoto ◽  
Hiroyuki Oka ◽  
Shuhei Ishikawa ◽  
Akatsuki Kokaze ◽  
Shingo Muranaga ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Low Back Pain ◽  
Back Pain ◽  
Nursing Personnel ◽  
Low Back ◽  
Cross Sectional ◽  
Previous Episode ◽  
Factors Associated ◽  
Self Administered Questionnaire

ObjectivesLow back pain (LBP) is a common cause of disability among nursing personnel. Although many studies regarding the risk factors for LBP among nursing staff have focused on the physical load at work, multidimensional assessments of risk factors are essential to identify appropriate preventive strategies. We aimed to investigate the association of multidimensional factors (individual, physical, psychological and occupational) with disabling LBP among nursing personnel in Japan.DesignObservational study with comparative cross-sectional design.SettingData were collected using the self-administered questionnaire at a tertiary medical centre.ParticipantsAfter excluding participants with missing variables, 718 nursing personnel were included in the analysis.Outcome measuresA self-administered questionnaire assessed individual characteristics, rotating night shift data, severity of LBP, previous episode of LBP, sleep problem, kinesiophobia (Tampa Scale for Kinesiophobia), depressive condition (K6), physical flexibility and frequency of lifting at work. A logistic regression model was used to evaluate the factors associated with disabling LBP (LBP interfering with work) among nursing personnel.ResultsOf all participants, 110 (15.3%) reported having disabling LBP. The multivariable logistic regression analysis after adjustment for several confounding factors showed that kinesiophobia (highest tertile, adjusted OR (aOR): 6.13, 95% CI : 3.34 to 11.27), previous episode of LBP (aOR: 4.31, 95% CI: 1.50 to 12.41) and insomnia (aOR: 1.66, 95% CI: 1.05 to 2.62) were significantly associated with disabling LBP.ConclusionsThe present study indicated that kinesiophobia, a previous episode of LBP, and sleep problems were associated with disabling LBP among nursing personnel. In the future, workplace interventions considering assessments of these factors may reduce the incidence of disabling LBP in nursing staff, although further prospective studies are needed.

scholarly journals Regression Equation between Required Force and Lumbar Load of Caregiver in Supporting Standing-up Motion via Computational Musculoskeletal Simulation

2020 ◽  
Vol 28 (S2) ◽  
Author(s):  
Kodai Kitagawa ◽  
Yoshiki Nishisako ◽  
Takayuki Nagasaki ◽  
Sota Nakano ◽  
Mitsumasa Hida ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Regression Equation ◽  
Regression Equations ◽  
Low Back ◽  
Patient Handling ◽  
Musculoskeletal Simulation ◽  
Injury Threshold ◽  
Standing Up ◽  
Lumbar Load

Caregivers experience low back pain because of patient handling such as supporting standing-up. The lumbar load of a caregiver depends on the required force for patient handling motions. If the relationship between the required force and the lumbar load is quantitatively clarified, it may be useful for preventing low back pain in caregivers. In this study, we investigated the quantitative relationships between the required force and lumbar loads such as vertebral stress and muscle activity in supporting standing-up by computational musculoskeletal simulation. First, a musculoskeletal model of a caregiver was prepared, and then the model performed simulated supporting standing-up motions. The vertical load used as the required force was placed on the upper limb of the model. The compressive/shear stress of the vertebral (L4–L5) and muscle activities of spinae erector muscle group were recorded as the lumbar load. The results showed that there are highly significant correlations between the required force (r > 0.9, p < 0.01). In addition, regression equations for predicting each lumbar load by the required force with highly determination coefficients (R2 > 0.9) were obtained from these relationships. Furthermore, we found that when the required force was more than 120 N, the compression stresses of the vertebral exceeded injury threshold (3400 N) by the regression equation. These regression equations contribute to quantitatively consider lumbar loads of caregiver during patient handling based on injury thresholds and the required force.

scholarly journals Patient handling and risk for developing persistent low-back pain among female healthcare workers

2012 ◽  
Vol 39 (2) ◽  
pp. 164-169 ◽  
Author(s):  
Andreas Holtermann ◽  
Thomas Clausen ◽  
Marie Birk Jørgensen ◽  
Alex Burdorf ◽  
Lars L Andersen
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Healthcare Workers ◽  
Low Back ◽  
Patient Handling
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