Sleep quality, physical and psychological outcomes in nurses with low backpain from a tertiary hospital, South India
Bibliographic record
Abstract
Introduction: Low back pain (LBP) affects 80% of the population globally. In India, prevalence of LBP among nurses is reported to be 66%. Methodology: A descriptive cross-sectional study design was adopted to assess the sleep quality of nurses with low back pain in a tertiary care setting, South India and to determine the relationship of sleep quality with the physical and psychological parameters such as pain intensity, functional disability, anxiety, and depression. All the nurses willing to participate in the study, and available during the data collection period were screened for LBP. Among the nurses with LBP, 193 subjects were selected using systematic random sampling technique. Study was approved by the Institutional Review Board and informed written consent was obtained from the subjects. Subjects were asked to complete the following questionnaires: Pittsburgh Sleep Quality Index (PSQI), Short-form McGill Pain Questionnaire (SFMP), Oswestry Low Back Pain Disability Questionnaire (ODI), Zung Self-rating Anxiety (ZSA) and Depression (ZSD) scales. Results: Among 1284 nurses screened, 686 (53.4%) had LBP. Of the 193 nurses included in the study 68.4% of the nurses had good quality of sleep. Majority of the subjects had minimal disability (68.4%), moderate pain (81.3%), and normal anxiety (56.3%) and depression (91.7%) levels. There was a significant positive correlation between sleep quality and pain intensity (r=.355, p<.01), disability (r=.376, p<.01), anxiety (r=.297, p<.01), and depression (r=.233, p<.001). Conclusion: Improving sleep quality will decrease the physical and psychological manifestations of patients with low back pain and hence improve the quality of life of nurses with LBP. Biography: Nirmala M Emmanuel has completed her MSc Nursing at the age of 30 years from Christian Medical College (CMC), Vellore affiliated to Tamilnadu Dr. MGR Medical University. She is working as a Nurse Manager in the Surgical Nursing department of CMC, which is a multispeciality hospital with nearly 2500 beds. She also serves as a Professor at the College of Nursing, CMC, Vellore. Nursing is an integrated system of education and practice in the institution. Speaker Publications: 1. Cunningham C, Flynn T, Blake C. Low back pain and occupation among Irish health workers. Occup Med. 2006;56(7):23–28. 2. Mafuyai MY, Babangida BG, Mador ES, Bakwa DD, Jabil YY. The increasing cases of lower back pain in developed Nations: a reciprocal effect of development. AJIS. 2014;3(5):23–28. 3. Golob A, Wipf J. Low Back Pain. Med Clin North Am. 2014;98(3):405–428. 4. Lidgren L. The bone and joint decade 2000–2010. Bulletin of the World Health Organization. 2003;81(9):629. 5. CDC, author. Preventing back injuries in health care settings. Atlanta, USA: Centers for Disease Control and Prevention; 2008. 5th World Congress on Public Health and Nutrition; London, UK- February 24-25, 2020. Abstract Citation: Nirmala M Emmanuel, Sleep quality, physical and psychological outcomes in nurses with low back pain from a tertiary hospital, South India, Public Health 2020, 5th World Congress on Public Health and Nutrition; London, UKFebruary 24-25, 2020 (https://publichealth.healthconferences.org/abstract/2020/sleepquality- physical-and-psychological-outcomes-in-nurses-withlow- back-pain-from-a-tertiary-hospital-south-india)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".