Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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To assess clinical and psychosocial factors related to alexithymia in systemic sclerosis (SSc). We enrolled 40 consecutive SSc patients in a cross-sectional study evaluating alexithymia with Toronto Alexithymia scale (TAS-20). We measured Beck Depression inventory (BDI), Hamilton Anxiety rating scale (HAM-H), 36-Items Short-Form Healthy Survey (SF-36), Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue, Visual Analog Scale (VAS) pain, Pittsburgh Sleep Quality Index (PSQI), Satisfaction with Appearance Scale (SWAP), and Mouth Handicap in Systemic Sclerosis (MHISS). The prevalence of alexithymia was 42%. Alexithymic patients presented increased depressive (p = ≤ 0.001) and anxiety symptoms (p = ≤ 0.001), sleep disorders (p = 0.03), pain (p = 0.02), esthetic concerns (p = 0.03), disability in activities (p = 0.03) and reduced scores of SF-36 in mental components summary (MCS) (p = ≤ 0.001) and physical components summary (PCS) (p = 0.01). We found significant correlations with sleep disorders (r = 0.41, p = ≤ 0.001), BID (r = 0.35, p = 0.04), facial image dissatisfaction (r = 0.35, p = 0.04), mouth disability (r = 0.51, p = 0.005), depressive (r = 0.6, p = ≤ 0.001), and anxiety symptoms (r = 0.48, p = ≤ 0.001), fatigue (r = - 0.45 p = 0.005), SF-36 PCS (r = - 0.51, p = ≤ 0.001) and MCS (r = - 0.65, p = ≤ 0.001). In multiple linear regression analysis, SWAP facial was the only variable associated with TAS-20 [0.99 (0.48) p = 0.05]. Alexithymia correlates with several psychosocial factors but seems strongly related to facial image dissatisfaction.
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http://dx.doi.org/10.1007/s00296-018-4214-y | DOI Listing |