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: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
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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Objective: Non-communicable diseases (NCDs) are the new epidemic in India. District-specific prevalence of various NCD risk factors and their macrolevel determinants is unknown. We used National Family Health Survey-4 (NFHS-4) data to map the syndemics of obesity, hypertension and hyperglycemia in Rajasthan, the largest state of the country, and correlated their prevalence with selected social determinants of health- urbanization, human development index (HDI) and literacy.
Methodology: Data on location-adjusted prevalence of various NCD risk factors among women (15-49y) and men (15-54y) were obtained from NFHS-4 data sheets. Heat maps were created to determine geographic distribution of obesity (body mass index, BMI ≥25 kg/m2), hypertension (known and/or BP ≥140/≥90 mmHg) and hyperglycemia (random glucose >140 mg/dl) in all the districts (n=33). We determined correlation of various social determinants with NCD risk factors.
Results: Significant geographic variation was observed in prevalence of obesity, hypertension and hyperglycemia in women and men. High prevalence of obesity and hypertension was observed in central and northwestern districts of the state. In women and men respectively, there was a significant positive correlation of obesity with urbanization (r=0.68, 0.51), HDI (r=0.70, 0.66) and female literacy (r=0.46, 0.34). Prevalence of hypertension also showed significant correlation with urbanization (r=0.18, 0.33), HDI (r=0.38, 0.52) and literacy (r=0.32, 0.21) while no correlation was observed with hyperglycemia.
Conclusion: There is significant geographic variation in prevalence of obesity, hypertension and hyperglycemia in Rajasthan. Significant correlation of obesity and hypertension with urbanization, human development and female literacy is observed..
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