Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&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
As India's elderly population grows rapidly, there is a demand for robust policy tools for geriatric health management. This study focuses on unveiling the impact of financial stress and insecurity in diverse economic sectors on adult malnutrition in India. Further, we explore the connections of adult malnourishment with mental and physical health outcomes. Analysis has been done using data of 59,764 respondents aged 45 years and above from the Longitudinal Ageing Study in India (LASI- Wave I) (2017-19). A modified Malnutrition Universal Screening Tool (MUST) has been used to assess the risk of adult malnutrition. It categorizes malnutrition into Low Risk, High Risk Group 1 (HRG1-undernourished), and High Risk Group 2 (HRG2-over-nourished). Approximately 26% of adults were classified in HRG1, characterized by low body mass index, recent hospital admissions, and affiliation with food-insecure households. Around 25% adults belonged to HRG2 characterized by high body mass index and waist-to-hip ratio. The relative risk ratios from the multinomial logit generalized structural equation model indicate that the risk of being in HRG1 was 20-40% higher among respondents not presently working or receiving pension benefits, as well as those involved in agricultural work. The risk of being in HRG2 doubles if the respondent was diagnosed with some chronic disease during the last 12 months. A higher composite cognition score reduces the risk of being in HRG1 by 4%, while it increases the risk of being in HRG2 by 3%. Additionally, experiencing episodic depression raises the risk of being in HRG1 by 10%. Financial insecurity, particularly in the informal and agricultural sectors, coupled with poor mental health, hinders positive nutritional outcomes. Extending universal pro-poor policies to fortify food security in resource poor households and integrating mental health variables in nutrition policies can be beneficial to address adult malnourishment in India.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10724991 | PMC |
http://dx.doi.org/10.1186/s12877-023-04532-7 | DOI Listing |
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