ASSOCIATION OF DEPRESSION, ANXIETY AND STRESS WITH FIBROMYALGIA IN PAKISTANI POPULATION
soi: 21-2017/re-trjvol02iss01p55
DOI:
https://doi.org/10.52567/trj.v2i01.37Abstract
Objectives: to find level of depression, anxiety & stress and its association with fibromyalgia among Pakistani Population. Methodology: A descriptive cross sectional correlational study was carried out on n=314 participants. Sample was selected through convenient sampling technique from patients visiting department of Physical Therapy Benazir Bhutto hospital Rawalpindi (BBH) and Department of Physical Therapy Isra Institute of Rehabilitation Sciences. Both genders of all age groups, diagnosed with musculoskeletal disorder (MSKD) were included in study. The data was obtain about age, gender, weight, height, BMI, sleep hours, occupation and depression, anxiety and stress scale (DASS). To diagnose fibromyalgia from MSKD, Physical therapist used new modified 2016 criteria for fibromyalgia was used. To present data mean±SD was used for continuous variable and n(%) for categorical variable. To find association between fibromyalgia and DASS chi-square test was used. Results: The mean age was 41.84±16.47 years. The average height weight and BMI was 166.04±12.74 (cm), 68.03 ±12.50 (kg) and 25.05±6.57 respectively. Average sleep hours of study participants was 7.79±2.02 hr/day. The mean score of depression (5.43±4.25), anxiety (7.08±4.46) and stress (6.69±5.02) showed that maximum participants with fibromyalgia has mild level depression, moderate level of anxiety and normal level of stress respectively. The significant association of depression(X2=23.80, p<0.001), anxiety (X2=24.39, p<0.001) and stress (X2=14.62, p<0.001) was observed with fibromyalgia syndrome. Conclusion: The study concludes that patient with fibromyalgia have mild depression, moderate anxiety. Fibromyalgia significantly associated with depression, anxiety and stress and vise versa. Keywords: Depression, anxiety, stress, fibromyalgia, musculoskelatal disorders.
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Copyright (c) 2018 Aneela Ghafoor, Ubaid-ur-Rehman Ubaid-ur-Rehman, Misha Ansari, Saima Aslam

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