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1.
Front Public Health ; 12: 1429495, 2024.
Article in English | MEDLINE | ID: mdl-39371204

ABSTRACT

Background: Patients with low back pain (LBP) often suffer from sleep disorder, and insufficient sleep duration was recognized as a potential risk factor for LBP. Our aim was to explore the exact effect of sleep duration on LBP and the optimal sleep duration to reduce the risk of LBP. Methods: Analyzing data from the Korean National Health and Nutrition Examination Survey (KNHANES), we investigated the association between sleep duration and LBP in individuals aged 50 years and older. We used logistic regression models, interaction stratification analysis, and threshold effect assessment to analyze the relationship between sleep duration and LBP. Results: A total of 6,285 participants, comprising 3,056 males and 3,229 females with a median age of 63.1 years, were enrolled in the study. The association between sleep duration and LBP risk exhibited an L-shaped curve (p < 0.015) in RCS analysis. In the threshold analysis, the OR of developing risk of LBP was 0.864 (95% CI:0.78-0.957, p = 0.005) in participants with sleep duration <6.55 h. Each additional hour of sleep was associated with a 13.6% decrease in the risk of LBP. No significant association was observed between sleep duration ≥6.55 h and the risk of LBP. The risk of LBP did not decrease further with increasing sleep duration. Results remain robust across subgroups. Conclusion: Our findings indicate that shorter sleep duration is a risk factor for LBP in adults aged over 50 years. We revealed an L-shaped association between sleep duration and LBP, with an inflection point at approximately 6.55 h per day. These results underscore the significance of sleep duration as a factor in the risk assessment for LBP.


Subject(s)
Low Back Pain , Nutrition Surveys , Sleep , Humans , Low Back Pain/epidemiology , Low Back Pain/etiology , Female , Male , Republic of Korea/epidemiology , Cross-Sectional Studies , Middle Aged , Risk Factors , Aged , Sleep/physiology , Time Factors , Sleep Wake Disorders/epidemiology
2.
Med J Malaysia ; 79(5): 584-590, 2024 Sep.
Article in English | MEDLINE | ID: mdl-39352161

ABSTRACT

INTRODUCTION: Healthcare workers are recognised to have a high prevalence of musculoskeletal disorders and nursing profession are well known with high prevalence of low back pain (LBP). There is a widespread consensus that low back discomfort is a major contributor to both inabilities to work and illness. Absenteeism is frequently employed as a proxy for the presence of a handicap. AIM: The purpose of this study was to determine the prevalence of LBP among nurses in six different wards in three general hospitals in Kota Kinabalu, Sabah as well as the associated workplace risk factors and coping strategies implemented by nurses in ward. MATERIALS AND METHODS: A cross-sectional study involved 420 nurses from three public hospitals in Kota Kinabalu, Sabah, was carried out. The respondents were carefully selected by proportionate stratified random sampling method. Nurses sociodemographic and occupational details, occupational health in nursing practice, seventeen work risk variables and nine coping techniques were collected via a selfadministered questionnaire. RESULTS: Among the 420 participants, 57 did not report any discomfort. In the previous 12 months, 44.5% (95.0% CI: 39.74,49.25) of nurses experienced low back discomfort lasting longer than three days. The results of a simple logistic regression analysis revealed that gender and years of working experience were significantly associated with LBP. The department of intensive care unit nurses had the highest OR value of 2.4 (p = 0.03). There were no statistically significant association with age, marital status and body mass index (p > 0.05). Adjusting plinth or bed height (68.4%) was the top coping mechanism cited by respondents in the clinical context to reduce the risk of LBP, and working with perplexed or agitated patients posed the greatest occupational risk. CONCLUSION: LBP is still a major work-related issue among nurses, with a high prevalence rate. To mitigate these impacts, multidisciplinary efforts are required. The outcomes of this study may help policy makers to allocate resources to reduce LBP among nurses.


Subject(s)
Adaptation, Psychological , Hospitals, Public , Low Back Pain , Humans , Low Back Pain/epidemiology , Low Back Pain/psychology , Cross-Sectional Studies , Female , Adult , Prevalence , Male , Risk Factors , Malaysia/epidemiology , Occupational Diseases/epidemiology , Occupational Diseases/psychology , Middle Aged , Nursing Staff, Hospital/psychology , Nursing Staff, Hospital/statistics & numerical data , Young Adult , Surveys and Questionnaires , Coping Skills
4.
J Orthop Surg Res ; 19(1): 551, 2024 Sep 09.
Article in English | MEDLINE | ID: mdl-39252054

ABSTRACT

PURPOSE: A growing body of research indicates a correlation between occupational exposure, particularly among individuals in driving-related occupations, and the incidence of low back pain (LBP). METHODS: Databases were systematically searched, including PubMed, Embase, Web of Science, Cochrane Library, and SinoMed, from their inception through December 2023 for relevant studies of the prevalence and risk factors of LBP among professional drivers. Subsequent meta-analyses were performed utilizing Stata 17.0 and RevMan 5.4 software, while risk factor indicators were assessed using the Grading of Recommendations, Assessment, Development and Evaluation evidence quality grading system. RESULTS: A systematic review and meta-analysis comprising 19 studies involving 7,723 patients indicated that the incidence of LBP among drivers was 39% (95% confidence interval [CI] 0.20-0.57) in the past 7 days and 53% (95% CI 0.43-0.63) in the past 12 months. A subgroup analysis revealed a prevalence of 48% (95% CI 0.33-0.64) in 2005-2015 and 56% (95% CI 0.42-0.70) in 2016-2023. Among the identified factors, robust evidence highlighted age ≥ 41 years (odds ratio [OR] = 2.10; 95% CI 1.36-3.24; P = 0.0008), alcohol consumption (OR = 1.75; 95% CI 1.31-2.34; P = 0.0001), sleeping < 6 h/night (OR = 1.60; 95% CI 1.13-2.24; P = 0.007), uncomfortable seating (OR = 1.71; 95% CI 1.23-2.36; P = 0.001), improper driving posture (OR = 2.37; 95% CI 1.91-2.94; P < 0.00001), and manual handling (OR = 2.23; 95% CI 1.72-2.88; P < 0.00001) as significant risk factors for LBP. There was moderate evidence of a lack of exercise (OR = 1.78; 95% CI 1.37-2.31; P < 0.0001), working > 10 h/day (OR = 2.49; 95% CI 1.89-3.28; P < 0.00001), > 5 years' driving experience (OR = 2.12; 95% CI 1.66-2.69; P < 0.00001), a lack of back support (OR = 1.81; 95% CI 1.25-2.62; P = 0.002), high work-related pressure (OR = 2.04; 95% CI 1.59-2.61; P < 0.00001), and job dissatisfaction (OR = 1.57; 95% CI 1.23-2.01; P = 0.0003) as moderate risk factors. There was no evidence of body mass index or smoking as risk factors for LBP among professional drivers. CONCLUSION: The current evidence indicates an increasing annual trend in the prevalence of LBP among professional drivers. Factors including age ≥ 41 years, alcohol consumption, and sleeping < 6 h/night were among the 12 influential factors contributing to LBP in professional drivers. Enhancing awareness of these factors and formulating targeted preventive strategies may be beneficial.


Subject(s)
Automobile Driving , Low Back Pain , Occupational Diseases , Humans , Low Back Pain/epidemiology , Low Back Pain/etiology , Risk Factors , Prevalence , Occupational Diseases/epidemiology , Occupational Diseases/etiology , Male , Adult , Alcohol Drinking/adverse effects , Alcohol Drinking/epidemiology , Incidence , Female , Occupational Exposure/adverse effects
5.
Pediatr Rheumatol Online J ; 22(1): 84, 2024 Sep 09.
Article in English | MEDLINE | ID: mdl-39252107

ABSTRACT

BACKGROUND: The prevalence of back and neck pain is common in children and adolescents, and in some series the numbers are alarming. Various risk factors have been identified, although some are controversial. OBJECTIVE: To determine the prevalence of neck and back pain in children and adolescents and to investigate the potential association with various risk factors identified in the literature. METHODS: We established a questionnaire targeting parents of children and adolescents aged between 6 and 18 years old in Tunisia. The recruitment of participants was done online using the Google Forms application. The questionnaire was divided into 2 parts: Part one collected the sociodemographics characteristics of the participants : age, gender, body mass index (BMI), exposure to passive smoking, the practice of a physical activity, puberty status and age at puberty if applicable, type and weight of the schoolbag, mean daily time spent on electronic devices, type of school the child attends (private/public), mode of transport from home to school, parental history of neck and/or back pain (mid or low back pain (LBP)), posture of the sitting position of the child, and finally whether the child reports neck/ back pain. The second part was aimed at parents whose child reported neck and/or back pain. We asked about the weekly frequency of neck/back pain, school absenteeism due to neck/back pain, whether it prevented the child from practicing physical activity and, finally, whether the child had ever seen a doctor/chiropractor/physiotherapist for their neck/back pain. RESULTS: Eighty-eight children (45 females, 43 males) were enrolled. Mean age was 11.9 ± 3.8 years [6-18]. Mean BMI was 18.8 ± 4.2 [15.8-35.5]. Thirty-four (38.6%) were pubescent. Twenty-five (28.4%) children were exposed to passive smoking. Parental history of spine pain was found in 58% of cases. A poor sitting position was noted in n = 49 (55.7%). Mean daily screen time was 88.3 ± 75.56 min [0-360]. Prevalence of spine pain was 44% (n = 39) distributed as follows: neck pain (n = 21, 23.8%), mid back pain (n = 15, 17%), LBP (n = 26, 29.5%), neck, mid back and low back pain (n = 4, 4.5%) Professional help seeking for spine pain in children was reported by 15 participants (25.3%). Among them, 20.3% visited a physician and 5% consulted a chiropractor or physiotherapist. A significant correlation was found between spine pain and age (p = 0.006) and BMI (p = 0.006). A significant association was found between LBP and exposure to passive smoking, puberty status, type of school bag and poor posture. A positive parental history of spine pain was significantly associated with the presence of spine pain in their children with p = 0.053 (neck pain), p = 0.013 (back pain) and p < 0.00 (LBP) respectively. A significant association was found between the presence of spine pain and school absenteeism, participation in sports, consultation with a doctor or physiotherapist/chiropractor (p < 0.0001 respectively). CONCLUSION: The prevalence of spinal pain was frequent in our series. A positive parental history of spinal pain, a bad posture while sitting, passive smoking, use of backpack, higher age and higher BMI were potential associated factors.


Subject(s)
Back Pain , Neck Pain , Humans , Child , Male , Adolescent , Female , Tunisia/epidemiology , Prevalence , Neck Pain/epidemiology , Neck Pain/etiology , Risk Factors , Surveys and Questionnaires , Back Pain/epidemiology , Back Pain/etiology , Body Mass Index , Low Back Pain/epidemiology , Low Back Pain/etiology
6.
Aging Clin Exp Res ; 36(1): 191, 2024 Sep 11.
Article in English | MEDLINE | ID: mdl-39259375

ABSTRACT

BACKGROUND: Previous observational studies have revealed a potentially robust bidirectional relationship between frailty and low back pain (LBP). However, the precise causal relationship remains unclear. METHODS: To examine the potential causal association between frailty and LBP, we conducted bidirectional two-sample Mendelian randomization analysis (MR) study. Genetic data on frailty index (FI) and LBP were acquired from publicly available genome-wide association studies (GWAS). Various MR methodologies were utilized, such as inverse variance weighting (IVW), weighted median, and MR-Egger, to evaluate causality. Additionally, sensitivity analyses were conducted to evaluate the robustness of the findings. RESULTS: Genetically predicted higher FI (IVW, odds ratio [OR] = 1.66, 95% CI 1.17-2.36, p = 4.92E-03) was associated with a higher risk of LBP. As for the reverse direction, genetic liability to LBP showed consistent associations with a higher FI (IVW, OR = 1.13, 95% CI 1.07-1.19, p = 2.67E-05). The outcomes from various MR techniques and sensitivity analyses indicate the robustness of our findings. CONCLUSION: Our research findings provide additional evidence bolstering the bidirectional causal relationship between frailty and LBP.


Subject(s)
Frailty , Genome-Wide Association Study , Low Back Pain , Mendelian Randomization Analysis , Humans , Low Back Pain/genetics , Low Back Pain/epidemiology , Frailty/genetics , Polymorphism, Single Nucleotide , Aged , Causality , Female
7.
Womens Health (Lond) ; 20: 17455057241267097, 2024.
Article in English | MEDLINE | ID: mdl-39282748

ABSTRACT

BACKGROUND: Musculoskeletal changes occur during pregnancy; one-half of pregnant women experienced low back pain and/or pelvic pain during pregnancy. Prescription opioid use for Medicaid enrolled pregnant women has increased dramatically due to severe low back pain/pelvic pain. OBJECTIVES: This study aimed to explore the prevalence of low back pain/pelvic pain and related risk factors among a broader population. DESIGN: This is a retrospective cohort study. METHODS: This study utilized de-identified Medicaid claims data provided by the South Carolina Revenue and Fiscal Affairs Office, including individuals who gave birth between 2016 and 2021 during pregnancy. Low back pain/pelvic pain and a group of musculoskeletal risk factors were identified with International Classification of Diseases v10. Comparisons were made for the prevalence of low back pain and pelvic pain between those with pregnancy-related musculoskeletal risk and those without. RESULTS: Among 167,396 pregnancies, 65.6% were affected by musculoskeletal risk factors. The overall prevalence of low back pain was 15.6%, and of pregnancy-related pelvic pain was 25.2%. The overall prevalence for either low back pain or pelvic pain was 33.3% (increased from 29.5% in 2016 to 35.3% in 2021), with 24.6% being pregnancy-induced. Pregnancies with musculoskeletal risk factors were more likely to be diagnosed with low back pain (20.7% versus 5.7%, p < 0.001) or pelvic pain (35.3% versus 6.0%, p < 0.001) than those without. CONCLUSION: This study found a very high prevalence of musculoskeletal risk and a high prevalence of low back pain or pelvic pain, with an increasing trend, among South Carolina pregnancies enrolled in Medicaid during the period 2016-2021. Most of the diagnosed low back pain or pelvic pain were pregnancy induced. Musculoskeletal risk factors were associated with low back pain or pelvic pain.


Subject(s)
Low Back Pain , Medicaid , Pelvic Pain , Pregnancy Complications , Humans , Female , Pregnancy , Medicaid/statistics & numerical data , South Carolina/epidemiology , Low Back Pain/epidemiology , United States/epidemiology , Pelvic Pain/epidemiology , Adult , Prevalence , Retrospective Studies , Pregnancy Complications/epidemiology , Risk Factors , Young Adult , Cohort Studies
8.
BMC Public Health ; 24(1): 2618, 2024 Sep 27.
Article in English | MEDLINE | ID: mdl-39334024

ABSTRACT

BACKGROUND: Numerous studies have examined associations between overweight and obesity and risk of low back pain (LBP), but the exact magnitude of these associations is not yet clear. The purpose of this work was to assess such sex-specific associations in a community-based setting in Norway, taking into account potential relationships with other risk factors. METHODS: A cohort study was conducted combining data from two waves of the Trøndelag Health Study, HUNT3 (2006-2008) and HUNT4 (2017-2019). Separate analyses were performed of risk of chronic LBP in HUNT4 among 14,775 individuals without chronic LBP in HUNT3, and of recurrence or persistence in HUNT4 among 5034 individuals with chronic LBP in HUNT3. Relative risks were estimated in generalised linear models for overweight and obesity compared to normal weight. Body size classification was based on values of BMI computed from measurements of height and weight. Chronic LBP was defined as LBP persisting at least 3 months during last year. RESULTS: After adjustment for age, smoking, physical activity in leisure time and work activity, analysis of risk among women produced relative risks 1.11 (95% CI 1.00-1.23) for overweight, 1.36 (95% CI 1.20-1.54) for obesity class I and 1.68 (95% CI 1.42-2.00) for obesity classes II-III. Relative risks among men were 1.10 (95% CI 0.94-1.28) for overweight, 1.36 (95% CI 1.13-1.63) for obesity class I and 1.02 (95% CI 0.70-1.50) for obesity classes II-III, the last estimate being based on relatively few individuals. Analyses of recurrence or persistence indicated similar relationships but with smaller magnitude of relative risks and no drop in risk among obesity classes II-III in men. The change in BMI from HUNT3 to HUNT4 hardly differed between individuals with and without chronic LBP in HUNT3. CONCLUSIONS: Risk of chronic LBP increases with higher values of BMI in both sexes, although it is uncertain whether this applies to very obese men. Very obese women carry a particularly large risk. Probabilities of recurrence or persistence of chronic LBP among those already afflicted also increase with higher values of BMI. Adjustment for other factors does not influence relationships with overweight and obesity to any major extent.


Subject(s)
Low Back Pain , Obesity , Overweight , Humans , Low Back Pain/epidemiology , Male , Female , Risk Factors , Middle Aged , Obesity/epidemiology , Obesity/complications , Norway/epidemiology , Overweight/epidemiology , Adult , Follow-Up Studies , Chronic Pain/epidemiology , Aged , Cohort Studies , Sex Factors , Body Mass Index
9.
Sci Rep ; 14(1): 22566, 2024 09 29.
Article in English | MEDLINE | ID: mdl-39343792

ABSTRACT

Chronic lumbopelvic pain (CLPP) and its associated disabilities significantly affect women's social, professional, and personal lives. However, the specific factors contributing to CLPP in women remain unclear. To address this gap, this prospective cross-sectional study aims to identify the risk factors predicting CLPP in women and develop a prediction model that can predict CLPP in women. The study was conducted across Delhi, India, where free health camps were held, and 2400 women were assessed. Among the assessed individuals, the study revealed a high prevalence rate of CLPP among Indian women, standing at 70.4%. Seven risk factors namely, hamstring muscle tightness (> 20° on passive knee extension test), increased lumbar lordosis (> 11.5 cm of the lumbar lordotic index), reduced hip flexibility (> 15 cm on bent knee fallout test), altered foot posture (≥ 20 on foot posture index score), increased perception of psychological stress (> 25 on cohen's perceived stress scale-10 score), reduced physical activity level (< 475 metabolic/minute on international physical activity questionnaire) and reduced performance of transversus abdominis muscle (≤ 5 on deep muscle contraction scale score) strongly predict the risks of CLPP in women. Identifying these risk factors is crucial for effectively preventing and managing CLPP symptoms, especially considering its high prevalence among Indian women. Health professionals should prioritize raising awareness about CLPP and its causative factors, as well as implementing strategies for early detection and intervention.


Subject(s)
Low Back Pain , Pelvic Pain , Humans , Female , India/epidemiology , Adult , Risk Factors , Cross-Sectional Studies , Low Back Pain/epidemiology , Pelvic Pain/epidemiology , Prospective Studies , Chronic Pain/epidemiology , Middle Aged , Prevalence , Young Adult , Posture , Musculoskeletal Pain/epidemiology
10.
PLoS One ; 19(8): e0308625, 2024.
Article in English | MEDLINE | ID: mdl-39137213

ABSTRACT

BACKGROUND: Low back pain (LBP) is the leading global cause of years lived with disability. Of the biopsychosocial domains of health, social determinants of LBP remain under-researched. Socioeconomic status (SES) may be associated with the onset of new LBP or outcomes of acute LBP, with educational attainment (EA) being a key component of SES. The association between EA and LBP has yet to be the subject of a dedicated review and meta-analysis. PURPOSE: To review evidence of the association between EA and a) onset or b) outcomes of acute and subacute LBP in the adult general population and to conduct statistical pooling of data where possible. METHODS: An electronic search was conducted in MEDLINE, Embase, CINAHL, and ProQuest from inception to 2nd November 2023 including reference lists to identify relevant prospective studies. Risk of bias (RoB) was assessed using the Quality in Prognostic Studies (QUIPS) tool. Where adequate data were available, estimates were pooled using a random-effects meta-analysis. Overall evidence for each outcome was graded using an adapted GRADE. RESULTS: After screening 8498 studies, 29 were included in the review. Study confounding and attrition were common biases. Data from 19 studies were statistically pooled to explore EA as a predictor of new LBP onset or as prognostic for outcomes of acute or subacute LBP. Pooled results showed no association between EA and the onset of new LBP (OR: 0.927, 95%CI: 0.747 to 1.150; I2 = 0%). For predicting outcomes of acute LBP, compared to those with no more than secondary-level education, post-secondary education or higher was associated with better outcomes of pain (OR: 0.538, 95%CI: 0.432 to 0.671; I2 = 35%) or disability (OR: 0.565, 95%CI: 0.420 to 0.759; I2 = 44%). High heterogeneity (I2>80%) prevented meaningful pooling of estimates for subacute LBP outcomes. CONCLUSION: We found no consistent evidence that lower EA increases the risk of LBP onset. Lower EA shows a consistent association with worse LBP outcomes measured at least 3 months later after acute onset with inconclusive findings in subacute LBP. Causation cannot be supported owing to study designs. High-quality research is needed on potential mechanisms to explain these effects.


Subject(s)
Educational Status , Low Back Pain , Low Back Pain/epidemiology , Humans , Prognosis
11.
BMC Geriatr ; 24(1): 674, 2024 Aug 10.
Article in English | MEDLINE | ID: mdl-39127641

ABSTRACT

BACKGROUND: Calf circumference is currently recommended as a case-finding marker for sarcopenia, but its usefulness has not been determined in chronic pain conditions. Therefore, the present study aimed to evaluate the predictive performance of calf circumference in diagnosing sarcopenia in older patients with chronic low back pain. METHODS: Ambulatory adult patients aged ≥ 65 years with chronic low back pain were enrolled. A diagnosis of sarcopenia was established based on the criteria outlined by the Asian Working Group for Sarcopenia in 2019. Patient demographics, pain-related factors, clinical factors, and sarcopenia-related measurements were compared between non-sarcopenic and sarcopenic patients. Linear regression analysis was used to evaluate the correlation of calf circumference with muscle mass, strength, and physical performance. Also, a receiver operating characteristic curve analysis for calf circumference in predicting sarcopenia was conducted; and area under the curve (AUC) values, along with their corresponding 95% confidence intervals (CI), were calculated. RESULTS: Data from 592 patients were included in the analysis. Eighty-five patients were diagnosed with sarcopenia (14.3%), 71 of whom had severe sarcopenia (11.9%). A higher prevalence of sarcopenia was observed in female patients (9.0% vs. 16.7%, p = 0.016). After adjusting for age, BMI, and comorbidities, calf circumference correlated positively with muscle mass but not with muscle strength and physical performance. The AUC values for sarcopenia were 0.754 (95% CI = 0.636-0.871, p = 0.001) in males and 0.721 (95% CI = 0.657-0.786, p < 0.001) in females. The cut-offs for calf circumference in predicting sarcopenia were 34 cm (sensitivity 67.1%, specificity 70.6%) in males, and 31 cm (sensitivity 82.5%, specificity 51.5%) in females. CONCLUSIONS: Even though sex differences in its predictive value for sarcopenia should be considered, our findings suggest that calf circumference can be used as an indicator for predicting muscle mass and may serve as a potential marker for identifying sarcopenia in older patients with chronic low back pain.


Subject(s)
Leg , Low Back Pain , Sarcopenia , Humans , Sarcopenia/diagnosis , Sarcopenia/epidemiology , Male , Female , Aged , Cross-Sectional Studies , Retrospective Studies , Low Back Pain/diagnosis , Low Back Pain/epidemiology , Chronic Pain/diagnosis , Chronic Pain/epidemiology , Muscle Strength/physiology , Aged, 80 and over , Predictive Value of Tests , Muscle, Skeletal/pathology , Muscle, Skeletal/physiopathology
12.
PeerJ ; 12: e17851, 2024.
Article in English | MEDLINE | ID: mdl-39131613

ABSTRACT

Background: Modic changes (MCs) are identified as an independent risk factor for low back pain. Different subtypes of MCs vary in their impact on postoperative pain relief. However, consensus on the transformation of postoperative MC fractions in patients with distinct MC subtypes is lacking. Methods: This comprehensive systematic review and meta-analysis searched English-language articles in PubMed, Cochrane Library, Web of Science, and Embase databases until January 2024. Studies included focused on patients transitioning between various microcrack subtypes post-discectomy. The primary outcome measure was the transformation between different postoperative microcrack fractions. Results: Eight studies with 689 participants were analyzed. Overall, there is moderate to high-quality evidence indicating differences in the incidence of MC conversion across MC subtypes. The overall incidence of MC conversion was 27.7%, with rates of 37.0%, 20.5%, and 19.1% for MC0, MC1, and MC2 subtypes, respectively. Thus, postoperative MC type transformation, particularly from preoperative MC0 to MC1 (17.7%) or MC2 (13.1%), was more common, with MC1 transformation being predominant. Patients with preoperative comorbid MC1 types (19.0%) exhibited more postoperative transitions than those with MC2 types (12.4%). Conclusion: This study underscores the significance of analyzing post-discectomy MCs in patients with lumbar disc herniation, revealing a higher incidence of MCs post-lumbar discectomy, particularly from preoperative absence of MC to MC1 or MC2. Preoperative MC0 types were more likely to undergo postoperative MC transformation than combined MC1 or MC2 types. These findings are crucial for enhancing surgical outcomes and postoperative care.


Subject(s)
Diskectomy , Intervertebral Disc Displacement , Lumbar Vertebrae , Humans , Intervertebral Disc Displacement/surgery , Intervertebral Disc Displacement/epidemiology , Diskectomy/adverse effects , Lumbar Vertebrae/surgery , Lumbar Vertebrae/pathology , Low Back Pain/etiology , Low Back Pain/epidemiology , Postoperative Complications/etiology , Postoperative Complications/epidemiology , Risk Factors
13.
Sci Rep ; 14(1): 19196, 2024 08 19.
Article in English | MEDLINE | ID: mdl-39160256

ABSTRACT

The COVID-19 pandemic has increased germ aversion, an aversive affective response to a high likelihood of pathogen transmission. While psychological factors are associated with chronic pain, the relationship between germ aversion and chronic pain remains unexplored. This study aimed to examine the relationship between germ aversion and new-onset and prognosis of chronic pain using longitudinal data collected during the COVID-19 pandemic. We conducted web-based surveys of full-time workers at baseline and after three months. Data were collected on demographic characteristics, psychological factors, and chronic pain. Germ aversion was assessed using a modified Perceived Vulnerability to Disease scale. We analyzed responses from 1265 panelists who completed the survey twice. The prevalence of chronic low back pain (CLBP) and chronic neck and shoulder pain (CNSP) was associated with sex, short sleep duration, psychological distress, loneliness, and germ aversion. Stratified analyses showed that germ aversion was a risk factor for CLBP at three months in both individuals with and without CLBP at baseline, and for CNSP at three months in those with CNSP at baseline, even after adjustment for confounders. In conclusion, this preliminary study suggests that high germ aversion is a risk factor for CLBP and CNSP in young and middle-aged workers.


Subject(s)
COVID-19 , Low Back Pain , Shoulder Pain , Humans , COVID-19/psychology , COVID-19/epidemiology , Male , Female , Low Back Pain/psychology , Low Back Pain/epidemiology , Adult , Risk Factors , Middle Aged , Shoulder Pain/epidemiology , Shoulder Pain/psychology , Chronic Pain/psychology , Chronic Pain/epidemiology , Internet , SARS-CoV-2/isolation & purification , Surveys and Questionnaires , Pandemics , Longitudinal Studies , Prevalence , Young Adult
14.
BMC Public Health ; 24(1): 2362, 2024 Aug 30.
Article in English | MEDLINE | ID: mdl-39215249

ABSTRACT

BACKGROUND: Although stroke is prevalent among Chinese, individuals with stroke may become more disabling if they have concomitant neck pain (NP) and low back pain (LBP). However, the prevalence and factors associated with post-stroke spinal pain among Chinese remain unknown. The current study used the 2018 cohort data from the China Health and Aged Care Tracking Survey (CHARLS) to determine the prevalence and factors associated with increased post-stroke NP and LBP in China. METHODS: The CHARLS study was conducted on four cohorts of nationally representative samples of individuals aged 45 years and above from 30 provincial-level administrative units in China. We used data from the 2018 cohort of the CHARLS survey to determine the prevalence and factors associated with NP and LBP in the non-stroke and post-stroke populations. Participants aged 45 years or older who reported to have NP, and/or LBP were identified. The study was statistically analyzed using t-test, and ANOVA analysis of variance. A multiple logistic regression model was used to identify factors significantly associated with NP and/or LBP in the non-stroke and post-stroke populations. RESULTS: A total of 19,816 individuals participated in the 2018 survey. The final inclusion of 17,802 subjects who met the criteria included 16,197 non-stroke and 885 stroke participants. The prevalence of NP and LBP in non-stroke population was 17.80% (95% CI: 17.21-18.39) and 37.22% (95% CI: 36.47-37.96), respectively. The prevalence of NP and LBP in the target stroke population was 26.44% (95% CI: 23.53-29.35) and 45.42% (95% CI: 42.14-48.71), respectively, and the difference was statistically significant (p < 0.05). Factors associated with increased post-stroke NP included female, short sleep duration, long lunch break, physical dysfunction, and depression. Factors associated with increased post-stroke LBP included female, comorbidities of two or more chronic diseases, physical dysfunction, and depression. CONCLUSION: The current study highlighted the high prevalence of post-stroke neck pain (26.44%) and LBP (45.42%) in China. While slightly different associated factors were found to be associated with a higher prevalence of post-stroke NP and LBP, female and individuals with more physical dysfunction or depression were more likely to experience post-stroke spinal pain. Clinicians should pay more attention to vulnerable individuals and provide pain management measures.


Subject(s)
Low Back Pain , Neck Pain , Stroke , Humans , Female , Low Back Pain/epidemiology , Male , Middle Aged , Neck Pain/epidemiology , Prevalence , China/epidemiology , Aged , Stroke/epidemiology , Stroke/complications , Risk Factors , Health Surveys
15.
BMC Public Health ; 24(1): 2359, 2024 Aug 30.
Article in English | MEDLINE | ID: mdl-39215306

ABSTRACT

BACKGROUND: Although metabolic syndrome (MetS) and depressive symptoms (DS) are predictors of low back pain (LBP), their combined effects and relative contributions to LBP have not been well studied. Using the nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS), this study conducted cross-sectional and longitudinal analyses to investigate the impact of MetS on LBP, and the joint effects of MetS and DS on LBP. METHODS: This study included a cross-sectional analysis of 8957 participants aged at least 45 years from the CHARLS 2011 dataset and a longitudinal follow-up of 3468 participants without LBP from the CHARLS 2011, tracked over 9.25 years (from June 2011 to September 2020) with 4 times LBP assessment in CHARLS 2013, 2015, 2018, and 2020. To explore the association between MetS on LBP and the joint effects of MetS and DS on LBP, multivariable-adjusted multinomial logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Multivariable-adjusted COX proportional hazards regression models were applied to estimate hazard ratios (HRs) and 95% CIs. All statistical analyses were conducted using STATA (version SE16). RESULTS: In the cross-sectional analysis, MetS was associated with a lower risk of LBP (adjusted OR = 0.85, 95% CI = 0.74-0.97), while there was no significance for this association in the longitudinal analysis. In the joint association of MetS and DS with LBP, participants with NoMetS + DS (adjusted OR = 2.31, 95% CI = 1.94-2.75), and MetS + DS (adjusted OR = 2.16, 95% CI = 1.81-2.59) were risk factors for LBP events, while those with MetS + NoDS (adjusted OR = 0.75, 95% CI = 0.62-0.90) was a protective factor for LBP events than those with NoMetS + NoDS. During the 9.25 years of follow-up, 1708 cases (49.25%) experienced incident LBP events. In the longitudinal analysis, a significantly negative association was not found in MetS + NoDS for LBP events. Three sensitivity analyses identified the robustness of the associations. Moreover, the nature of cross-sectional associations differed by age (45-64 and 65 + years). CONCLUSIONS: Our study found that MetS was linked to a lower incidence of LBP, but this effect does not persist over time. Importantly, the combination of MetS and DS significantly increased LBP risk, a joint effect not extensively studied before. These findings underscore the novel contribution of our research, advocating for the joint assessment of MetS and DS to enhance LBP risk stratification and inform prevention strategies.


Subject(s)
Depression , Low Back Pain , Metabolic Syndrome , Humans , Male , Metabolic Syndrome/epidemiology , China/epidemiology , Female , Low Back Pain/epidemiology , Longitudinal Studies , Middle Aged , Cross-Sectional Studies , Depression/epidemiology , Aged , Risk Factors
16.
BMC Musculoskelet Disord ; 25(1): 687, 2024 Aug 31.
Article in English | MEDLINE | ID: mdl-39217298

ABSTRACT

BACKGROUND: Low back pain (LBP) majorly contributes to activity limitations and work absences worldwide. Therefore, a comprehensive knowledge of the risk factors linked to non-specific low back pain (NSLBP) can enable early and timely interventions to achieve long-term improvements. Current study aimed to assess the risk factors associated with the severity of NSLBP patients in Syria. METHODS: This study used a cross-sectional design and a self-assessment questionnaire to collect data on NSLBP, as well as personal and physical factors, across four provinces in Syria (Damascus, Aleppo, Homs, and Latakia) from November 2021 to September 2022. The assessments incorporated the Short Form 36-Item Health Survey (SF-36), the Visual Analogue Scale (VAS) and Oswestry Disability Index (ODI). Then we examined the relationship between the severity of NSLBP and these potential risk factors. Descriptive statistics were employed to summarize the demographic characteristics of the participants. Additionally, multiple logistic regression analysis was performed to evaluate the risk factors for non-specific low back pain. RESULTS: The study included a total of 875 patients with NSLBP. The results indicated that patients with primary school education, a high body mass index (BMI), prolonged driving and sitting durations, smoking habits, and recurrent low back pain had higher VAS and ODI scores, as well as lower SF-36 scores (p < 0.01). Additionally, workers and drivers had higher VAS and ODI scores and lower SF-36 scores compared to waiters and patients who lifted objects heavier than 10 kg for more than a quarter of their work time for over 10 years (p < 0.01). The multiple logistic regression analysis revealed that lower education levels, low back pain lasting 1-7 days, chronic low back pain in the past year, smoking, driving for prolonged time, and higher BMI were associated with more severe VAS scores. CONCLUSION: The severity of NSLBP is related to lower education levels, poor living conditions, strenuous physical labor, inactive lifestyle, and driving for a long time. Additionally, patients with recurrent NSLBP experience more intense pain. To manage these issues, potential interventions could include reducing obesity rates, limiting the duration of hard physical work, limiting driving duration and reducing sedentary behaviors and smoking. These measures may help alleviate the overall burden of NSLBP.


Subject(s)
Low Back Pain , Pain Measurement , Severity of Illness Index , Humans , Syria/epidemiology , Low Back Pain/epidemiology , Low Back Pain/diagnosis , Male , Female , Risk Factors , Adult , Cross-Sectional Studies , Middle Aged , Disability Evaluation , Smoking/epidemiology , Body Mass Index , Automobile Driving , Educational Status , Young Adult , Surveys and Questionnaires , Sedentary Behavior
17.
BMJ Open ; 14(8): e082851, 2024 Aug 26.
Article in English | MEDLINE | ID: mdl-39187278

ABSTRACT

OBJECTIVE: To explore whether sedentary behaviour could modulate the association between overweight or obesity and chronic low back pain (CLBP). DESIGN: A retrospective cross-sectional study. SETTING AND PARTICIPANTS: A total of 4289 participants in the US cohort from the National Health and Nutrition Examination Survey were included. PRIMARY AND SECONDARY OUTCOME MEASURES: CLBP was the outcome. RESULTS: After adjusting for confounding factors, an increased risk of CLBP was identified in people who were overweight (OR 1.41, 95% CI 1.13 to 1.76) and obesity (OR 1.48, 95% CI 1.01 to 2.18). No significant association between sedentary behaviour time and CLBP was observed. In body mass index (BMI)<25 kg/m2 vs BMI≥30 kg/m2 group, sedentary behaviour time showed a modulatory effect on obesity and CLBP (p=0.047). In the sedentary behaviour time >4.5 hours group, the risk of CLBP was increased as BMI elevation, indicating sedentary behaviour time >4.5 hours played a modulatory role in the relationship between obesity and CLBP. CONCLUSION: Obesity was significantly associated with an increased risk of CLBP, and sedentary behaviour time modulated the association between obesity and CLBP. The findings might provide a reference for the lifestyle modifications among individuals with obesity and reducing sedentary behaviour is recommended for this population.


Subject(s)
Body Mass Index , Low Back Pain , Nutrition Surveys , Obesity , Sedentary Behavior , Humans , Cross-Sectional Studies , Low Back Pain/epidemiology , Obesity/epidemiology , Obesity/complications , Male , Female , Middle Aged , Retrospective Studies , Adult , United States/epidemiology , Chronic Pain/epidemiology , Risk Factors , Overweight/epidemiology , Aged
18.
PLoS One ; 19(7): e0304280, 2024.
Article in English | MEDLINE | ID: mdl-38990922

ABSTRACT

BACKGROUND: Previous observational studies have shown controversial results about the relationship between lipid levels and low back pain (LBP). Herein, we aimed to explore the potential causal relationship between lipid levels and LBP by using the mendelian randomization (MR) analysis. METHODS: In this two-sample MR study, data were extracted from publicly available MRC Integrative Epidemiology Unit database. Three single-nucleotide polymorphisms (SNPs) of lipid levels [high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and triglycerides (TG)] and two SNPs of LBP risk (LBP and back pain) were retrieved and used as genetic instrumental variables. Inverse-variance weighted (IVW), weighted median, MR-Egger, robust adjusted profile score (MR-RAPS), and MR-PRESSO were used to examine the potential causal association between lipid levels and LBP. RESULTS: IVW (fixed effect) estimation indicated that increased HDL-C level was negatively related to the odds of LBP for European populations. [odds ratio (OR) = 0.923, 95% confidence interval (CI): 0.857-0.993, P = 0.0323]. Similar results were also found in IVW (random effect) (OR = 0.923, 95% CI: 0.866-0.983, P = 0.0134), MR-Egger (OR = 0.858, 95%CI: 0.757-0.973, P = 0.0177), MR-RAPS (OR = 0.932, 95%CI: 0.871-0.997, P = 0.0419), and MR-PRESSO (OR = 0.933, 95%CI: 0.880-0.989, P = 0.0198) analyses. Whereas no causal link was observed between LDL-C/TG and LBP risk (P>0.05). CONCLUSION: This two-sample MR study demonstrated a causal relationship between lipid levels and LBP risk. Further investigations are necessary to elucidate the causal association and specific underlying mechanisms by which lipid levels contribute to the development of LBP.


Subject(s)
Low Back Pain , Mendelian Randomization Analysis , Polymorphism, Single Nucleotide , Triglycerides , Humans , Low Back Pain/genetics , Low Back Pain/blood , Low Back Pain/epidemiology , Triglycerides/blood , Cholesterol, HDL/blood , Risk Factors , Cholesterol, LDL/blood , Genetic Predisposition to Disease , Lipids/blood
19.
Am J Emerg Med ; 84: 33-38, 2024 Oct.
Article in English | MEDLINE | ID: mdl-39067198

ABSTRACT

BACKGROUND: Low back pain (LBP) is ranked in the top 10 conditions presenting to emergency departments (ED) in Australia. We aimed to investigate ED re-presentation rates and length of stay (LOS) of patients with LBP, including associated factors. METHODS: We reviewed medical records of three EDs in Sydney, Australia from January 2016 to October 2021. The primary outcome was the proportion of episodes of non-serious LBP with at least one re-presentation within 12 months. Secondary outcomes were re-presentation rates within 3-days, 1-week, 1-month, 3-months, 6-months, and mean LOS. Multivariable logistic regression analyses were performed to investigate the associated factors with re-presentation and prolonged stay (>4 h) and reported as adjusted odds ratios (aORs) and 95% confidence intervals (95% CI). RESULTS: Of 8289 episodes of non-serious LBP, 7.7% included at least one re-presentation within 12 months. There were only 14 re-presentations (0.2%) where the diagnosis changed from non-serious LBP at the index visit to serious spinal pathology at the repeat visit. The overall mean LOS was 4.1 h, and 26.9% of patients stayed in the ED for >4 h. Those who received opioids (aOR: 1.31; 95% CI: 1.08-1.59) were more likely to re-present. In contrast, patients receiving imaging were less likely to re-present (aOR: 0.78, 95% CI: 0.65-0.94). Receiving imaging (aOR: 2.83; 95% CI: 2.56-3.13) and opioids (aOR: 1.64; 95% CI: 1.47-1.82) increased the odds of prolonged stay. CONCLUSION: A re-presentation within 12 months occurs in 7.7% of episodes of LBP in ED. Over one-quarter of patients stayed longer than 4 h.


Subject(s)
Emergency Service, Hospital , Length of Stay , Low Back Pain , Patient Readmission , Humans , Low Back Pain/therapy , Low Back Pain/epidemiology , Male , Length of Stay/statistics & numerical data , Female , Emergency Service, Hospital/statistics & numerical data , Middle Aged , Adult , Patient Readmission/statistics & numerical data , Retrospective Studies , Aged , Australia/epidemiology , Logistic Models , Medical Records/statistics & numerical data
20.
J Assoc Physicians India ; 72(7): 48-54, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38990587

ABSTRACT

OBJECTIVES: The study aimed to analyze the risk factors and etiological profile of lower back pain (LBP) among patients attending a neurology outpatient department at a tertiary care center. MATERIALS AND METHODS: A cross-sectional observational study was conducted, involving 170 patients, aged over 18, presenting with LBP between March and August 2023. Sociodemographic and lifestyle data were collected, and diagnostic investigations, including X-ray and magnetic resonance imaging (MRI), were performed. Patients were categorized into acute and chronic LBP groups for analysis. RESULTS: Age-acute LBP was more prevalent in younger patients (<35 years), while chronic LBP was predominant in older age-groups (≥55 years). Gender-females showed a higher prevalence of LBP compared to males, with chronic LBP more common among females. Triggering events-heavy weightlifting was a significant trigger for chronic LBP, while coughing/sneezing was common in acute LBP. Occupation-patients with physically exerting jobs were more prone to acute LBP, while chronic LBP was prevalent among homemakers and those with no work. Body mass index (BMI)-obesity and overweight were associated with chronic LBP. Medication-chronic LBP patients were more likely to be on medication compared to acute LBP patients. MRI findings-prolapsed intervertebral disk (PIVD) was the most prevalent etiology, more common in chronic LBP patients. Other etiologies included vertebral fracture, tumor, tuberculosis, and various spinal conditions. CONCLUSION: Lower back pain is a multifaceted condition influenced by age, gender, BMI, and lifestyle factors. Effective management and prevention strategies should consider these risk factors to improve patients' quality of life. A comprehensive approach is essential to address the complex etiology of LBP.


Subject(s)
Low Back Pain , Tertiary Care Centers , Humans , Low Back Pain/epidemiology , Low Back Pain/etiology , Male , Female , Risk Factors , Cross-Sectional Studies , Adult , Middle Aged , Magnetic Resonance Imaging , Prevalence , Chronic Pain/epidemiology , Chronic Pain/etiology , Age Factors , Sex Factors , Body Mass Index , Young Adult , Aged
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