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: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
A community based study was conducted in an urban slum of Mumbai to assess the epidemiological factors associated with geriatric population and depression. A sample size of 196 was taken according to Lots quality technique, including all elderly above 60 years of age in the study area. Depressed elderly (using Geriatric Depression Scale) constituted 45.9% of the study population and was more in females (57.8%, p < 0.05). The significant variables associated with depression were poor socio-economic status, marital status, non-working or dependency and illiteracy (p < 0.05). Depressed elderly were more inclined towards substance abuse (58.13%), had disturbed sleep patterns (61.6%) and mostly suffered from acute/chronic illness (p < 0.05).
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