EFFECT OF BODY MASS INDEX, CENTRAL OBESITY AND CORE MUSCLE ACTIVATION ON PELVIC INCLINATION AND LUMBOSACRAL ANGLE IN INDIVIDUALS WITH LOW BACK PAIN: AN OBSERVATIONAL STUDY

2016 ◽  
Vol 4 (3) ◽  
pp. 1535-1539 ◽  
Author(s):  
Santosh Metgud ◽  
◽  
Shruti Naik ◽  
Anand Heggannavar ◽  
◽  
...  
Keyword(s):  
Body Mass Index ◽  
Low Back Pain ◽  
Back Pain ◽  
Observational Study ◽  
Body Mass ◽  
Central Obesity ◽  
Muscle Activation ◽  
Low Back ◽  
Pelvic Inclination

scholarly journals Relationships between Height, Mass, Body Mass Index, and Trunk Muscle Activation during Seated Whole-Body Vibration Exposure

Vibration ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 822-835
Author(s):  
Megan E. Govers ◽  
Alexander J. Nolan ◽  
Marwan Hassan ◽  
Michele L. Oliver
Keyword(s):  
Body Mass Index ◽  
Low Back Pain ◽  
Back Pain ◽  
Body Mass ◽  
Muscle Activation ◽  
Whole Body Vibration ◽  
Erector Spinae ◽  
Whole Body ◽  
Back Injury ◽  
Low Back

Operators of heavy equipment are often exposed to high levels of whole-body vibration (WBV), which has been associated with a variety of adverse health outcomes. Although anthropometric factors are known to impact vibration dose and risk of low back pain, studies have yet to investigate the influence of anthropometric factors on muscle activation during WBV exposure. This study quantified the relationships between muscle activation, vibration frequency, body mass, body mass index (BMI), and height both pre- and post-fatigue. Muscle activation of the external oblique (EO), internal oblique (IO), lumbar erector spinae (LE) and thoracic erector spinae (TE) were quantified using surface electromyography. Results indicate increased activation with increased mass, BMI, and frequency for the LE, TE, and IO, which may be a result of increased activation to stabilize the spine. Decreased muscle activation with increased height was seen in the TE, IO, and pre-fatigue EO, which could indicate higher risk for low back injury since height is associated with increased forces on the spine. This may contribute to the association between increased low back pain incidence and increased height. Results suggest that ISO 2631-1 health guidance should incorporate anthropometric factors, as these may influence muscle activation and back injury risk.

scholarly journals Bone mineral density, body mass index, postmenopausal period and outcomes of low back pain treatment in Korean postmenopausal women

2010 ◽  
Vol 19 (11) ◽  
pp. 1942-1947 ◽  
Author(s):  
Jongbae J. Park ◽  
Joonshik Shin ◽  
Yousuk Youn ◽  
Catherine Champagne ◽  
Eunseok Jin ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Low Back Pain ◽  
Back Pain ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Bone Mineral ◽  
Pain Treatment ◽  
Low Back ◽  
Mineral Density

Body Mass Index as a Risk Factor for Developing Chronic Low Back Pain

Spine ◽  
2013 ◽  
Vol 38 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Ingrid Heuch ◽  
Ivar Heuch ◽  
Knut Hagen ◽  
John-Anker Zwart
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Low Back Pain ◽  
Back Pain ◽  
Body Mass ◽  
Chronic Low Back Pain ◽  
Low Back

scholarly journals LOW BACK PAIN IN ICU AND EMERGENCY UNIT NURSES AT SARI MUTIARA GENERAL HOSPITAL MEDAN

2018 ◽  
Vol 2 (2) ◽  
pp. 246
Author(s):  
Amila Amila ◽  
Evarina Sembiring ◽  
Rinco Siregar
Keyword(s):  
Body Mass Index ◽  
Low Back Pain ◽  
Back Pain ◽  
General Hospital ◽  
Body Mass ◽  
Occupational Safety ◽  
High Mobility ◽  
Low Back ◽  
Emergency Unit ◽  
Cross Sectional

Introduction. The nurses who works at Intensive Care Unit (ICU) and Emergency Unit often suffering Low Back Pain (LBP) because they have high mobility and unergonomic condition. The purpose of this study were to identify the correlation among age, body mass index and working position of nurses with the low back pain who work in ICU and emergency unit at Sari Mutiara Indonesia general hospital. Methods. The data obtained was analyzed by analytic correlational with cross-sectional approach. The Sampel of this study was recruited with total sampling as 31 nurses. The data was analyzed by spearman correlation with α = 0.05. Result. The result of this study found that there was a signifi cant correlation between age with low back pain (r = 0.466 ; p <0.05). While body mass index and working position there was no signifi cantly correlation with low back pain ( r=0.195; p > 0.05 and r = - 0.172;p >0.05), respectively. Discussion. It can be recommended to occupational safety team to organize training the manner of working according to ergonomic standard, in addition to develope standar operating procedure for nurses in the hospital.Keywords : Risk factors, low back pain, nurse

scholarly journals Pain, Depression, Body Mass Index in Conscripts with Chronic Low Back Pain in South Korea

2014 ◽  
Vol 5 (1) ◽  
pp. 661-667
Author(s):  
Ju Hwan Lee ◽  
Ki Mai Um ◽  
Jung San Wang ◽  
Sa Gyeom Lee ◽  
Joo Hyun Park ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Low Back Pain ◽  
Back Pain ◽  
South Korea ◽  
Body Mass ◽  
Chronic Low Back Pain ◽  
Low Back

scholarly journals Individual Factors Influence Incidence Of Low Back Pain In Batik Craftsman

2021 ◽  
pp. 79-88
Author(s):  
Nadila Putri Pramesti ◽  
Hidayat Kussugiharso Wibowo ◽  
Prima Maharani Putri
Keyword(s):  
Body Mass Index ◽  
Low Back Pain ◽  
Back Pain ◽  
Body Mass ◽  
Work Load ◽  
Individual Factors ◽  
Low Back ◽  
Chi Square ◽  
Work Period ◽  
Chi Square Test

Background: The incidence of low back pain in Indonesia is still relatively high with an injury prevalence of 6.5%. One of the contributor of the high incidence rate is caused by occupational factors such as works that are repetitive in nature, that imposes forced power, and static work. One of the job that poses this risk is batik craftsmen. It is estimated that there are 15.000 batik craftsmen who are actively working in Central Java Province. The aim of  study was to determine association between individual factors and incidence of low back pain in batik craftsman. Methods: This study is a quantitative study with cross-sectional design, conducted in February 2021 in Central Sokaraja Village. Sample collection was carried out with total sampling method with a total sample of 60 respondents. Data analysis technique used in this study was Chi square test Results: The result of Chi square test showed that there is a significant association between work period and low back pain (p=0.001), there is a significant association between sitting duration and low back pain (p=0.028), there is a significant association between work load and low back pain (p=0.002), there is no significant association between gender and low back pain (p=0.081), there is no significant association between age and low back pain (p=0.632), and there is no significant association between body mass index and low back pain (p=0.807). From multivariate analysis, it was found that there is a significant association between work period and low back pain (p=0.026). Conclusion: There is a significant association between work period, sitting duration, and work load with low back pain, while there is no significant association between age, gender and body mass index (BMI) with low back pain.

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