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Prevalence and risk factor of diabetes among the elderly people in West Bengal: evidence-based LASI 1st wave
The complication of Diabetes is one of the important health issues among the older adult population in any region. The higher risks of diabetes prevalence among older adult people in the countries was due to social-cultural changes such as increasing urbanization, dietary changes, without physical a...
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Published in: | BMC endocrine disorders 2023-08, Vol.23 (1), p.170-170, Article 170 |
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description | The complication of Diabetes is one of the important health issues among the older adult population in any region. The higher risks of diabetes prevalence among older adult people in the countries was due to social-cultural changes such as increasing urbanization, dietary changes, without physical activity, and unhealthy lifestyle behavior. The present study examines the prevalence and associated risk factors of diabetes among older adults in the state of West Bengal.
The first wave of the Longitudinal Ageing Study in India 2017-18 was used to achieve the study objectives. Descriptive statistics with multinomial logistic regression models were used to carry out crude and adjusted odds ratios with 95% confidence intervals and examine the associated risk factors of diabetes prevalence among older adults.
The findings of the study indicate that the overall prevalence of diabetes among the study participants was found to be 12.4% which was significantly higher in urban areas (19%) compare to rural areas (6%). The socio-economic and bio-demographic factors like educational status, richest background family, marital status, obesity, and family history of diabetes were significantly associated with higher risks of diabetes prevalence among the older adult population in West Bengal. The risks of diabetes in the richest adult people were significantly higher than in the poorest adult people (OR = 2.78; 95% CI: 1.974-3.917). The higher risks of diabetes mellitus among the richest wealthy people are because of lifestyle behavior, smoking, and tobacco consumption respectively.
The study needs to policy and awareness program to reduce economic inequality and prevention of diabetes care and treatment-seeking behavior, especially for the older adult population in West Bengal. |
doi_str_mv | 10.1186/s12902-023-01421-3 |
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The first wave of the Longitudinal Ageing Study in India 2017-18 was used to achieve the study objectives. Descriptive statistics with multinomial logistic regression models were used to carry out crude and adjusted odds ratios with 95% confidence intervals and examine the associated risk factors of diabetes prevalence among older adults.
The findings of the study indicate that the overall prevalence of diabetes among the study participants was found to be 12.4% which was significantly higher in urban areas (19%) compare to rural areas (6%). The socio-economic and bio-demographic factors like educational status, richest background family, marital status, obesity, and family history of diabetes were significantly associated with higher risks of diabetes prevalence among the older adult population in West Bengal. The risks of diabetes in the richest adult people were significantly higher than in the poorest adult people (OR = 2.78; 95% CI: 1.974-3.917). The higher risks of diabetes mellitus among the richest wealthy people are because of lifestyle behavior, smoking, and tobacco consumption respectively.
The study needs to policy and awareness program to reduce economic inequality and prevention of diabetes care and treatment-seeking behavior, especially for the older adult population in West Bengal.</description><identifier>ISSN: 1472-6823</identifier><identifier>EISSN: 1472-6823</identifier><identifier>DOI: 10.1186/s12902-023-01421-3</identifier><identifier>PMID: 37568234</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Age groups ; Behavior ; Diabetes ; Diabetes mellitus ; Dietary pattern ; Exercise ; Expenditures ; Food habits ; GDP ; Geriatrics ; Gross Domestic Product ; Health care ; Lifestyles ; Logistic regression ; Males ; Marital status ; Medical research ; Medicine, Experimental ; Older people ; Physical activity ; Physical fitness ; Population ; Public health ; Regression analysis ; Risk factors ; Rural areas ; Rural-urban ratio ; Smoking ; Sociodemographics ; Statistical analysis ; Tobacco ; Urban areas ; Urbanization ; Variables</subject><ispartof>BMC endocrine disorders, 2023-08, Vol.23 (1), p.170-170, Article 170</ispartof><rights>2023. BioMed Central Ltd., part of Springer Nature.</rights><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>BioMed Central Ltd., part of Springer Nature 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c564t-4b3624c439ab49910af58e7c38ecfdd8c9ee2dfcab5b0a445b03d7614b9c57543</citedby><cites>FETCH-LOGICAL-c564t-4b3624c439ab49910af58e7c38ecfdd8c9ee2dfcab5b0a445b03d7614b9c57543</cites><orcidid>0000-0002-3791-4805</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416355/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2852029661?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37568234$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Das, Ujjwal</creatorcontrib><creatorcontrib>Kar, Nishamani</creatorcontrib><title>Prevalence and risk factor of diabetes among the elderly people in West Bengal: evidence-based LASI 1st wave</title><title>BMC endocrine disorders</title><addtitle>BMC Endocr Disord</addtitle><description>The complication of Diabetes is one of the important health issues among the older adult population in any region. The higher risks of diabetes prevalence among older adult people in the countries was due to social-cultural changes such as increasing urbanization, dietary changes, without physical activity, and unhealthy lifestyle behavior. The present study examines the prevalence and associated risk factors of diabetes among older adults in the state of West Bengal.
The first wave of the Longitudinal Ageing Study in India 2017-18 was used to achieve the study objectives. Descriptive statistics with multinomial logistic regression models were used to carry out crude and adjusted odds ratios with 95% confidence intervals and examine the associated risk factors of diabetes prevalence among older adults.
The findings of the study indicate that the overall prevalence of diabetes among the study participants was found to be 12.4% which was significantly higher in urban areas (19%) compare to rural areas (6%). The socio-economic and bio-demographic factors like educational status, richest background family, marital status, obesity, and family history of diabetes were significantly associated with higher risks of diabetes prevalence among the older adult population in West Bengal. The risks of diabetes in the richest adult people were significantly higher than in the poorest adult people (OR = 2.78; 95% CI: 1.974-3.917). The higher risks of diabetes mellitus among the richest wealthy people are because of lifestyle behavior, smoking, and tobacco consumption respectively.
The study needs to policy and awareness program to reduce economic inequality and prevention of diabetes care and treatment-seeking behavior, especially for the older adult population in West Bengal.</description><subject>Age groups</subject><subject>Behavior</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Dietary pattern</subject><subject>Exercise</subject><subject>Expenditures</subject><subject>Food habits</subject><subject>GDP</subject><subject>Geriatrics</subject><subject>Gross Domestic Product</subject><subject>Health care</subject><subject>Lifestyles</subject><subject>Logistic regression</subject><subject>Males</subject><subject>Marital status</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Older people</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Population</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Rural areas</subject><subject>Rural-urban ratio</subject><subject>Smoking</subject><subject>Sociodemographics</subject><subject>Statistical analysis</subject><subject>Tobacco</subject><subject>Urban areas</subject><subject>Urbanization</subject><subject>Variables</subject><issn>1472-6823</issn><issn>1472-6823</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1rFDEUhgdRbK3-AS8k4I03U_M1mYk3shY_FhYUVLwM-TizzTqTbJPZlf57M91auyKBJJy850ny8lbVc4LPCenE60yoxLTGlNWYcEpq9qA6Jbyltegoe3hvf1I9yXmDMWk7ih9XJ6xt5jI_rYYvCfZ6gGAB6eBQ8vkn6rWdYkKxR85rAxNkpMcY1mi6BASDgzRcoy3E7QDIB_QD8oTeQVjr4Q2CvXczrTY6g0OrxdclIuX8l97D0-pRr4cMz27Xs-r7h_ffLj7Vq88flxeLVW0bwaeaGyYot5xJbbiUBOu-6aC1rAPbO9dZCUBdb7VpDNacl5m5VhBupG3ahrOzannguqg3apv8qNO1itqrm0JMa6XT5O0AijVStoJrYRrOe8c6U_DC0FIkGOO-sN4eWNudGcFZCFPSwxH0-CT4S7WOe0UwJ4I1TSG8uiWkeLUrXqnRZwvDoAPEXVa0azAjHW9Zkb78R7qJuxSKV7OKYiqFIH9VxXBQPvSxXGxnqFq0AnMpZDerzv-jKsPB6G0M0PtSP2qghwabYs4J-rtPEqzmwKlD4FQJnLoJnJpf_OK-PXctfxLGfgOb7M6E</recordid><startdate>20230811</startdate><enddate>20230811</enddate><creator>Das, Ujjwal</creator><creator>Kar, Nishamani</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3791-4805</orcidid></search><sort><creationdate>20230811</creationdate><title>Prevalence and risk factor of diabetes among the elderly people in West Bengal: evidence-based LASI 1st wave</title><author>Das, Ujjwal ; Kar, Nishamani</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c564t-4b3624c439ab49910af58e7c38ecfdd8c9ee2dfcab5b0a445b03d7614b9c57543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age groups</topic><topic>Behavior</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Dietary pattern</topic><topic>Exercise</topic><topic>Expenditures</topic><topic>Food habits</topic><topic>GDP</topic><topic>Geriatrics</topic><topic>Gross Domestic Product</topic><topic>Health care</topic><topic>Lifestyles</topic><topic>Logistic regression</topic><topic>Males</topic><topic>Marital status</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Older people</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Population</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Rural areas</topic><topic>Rural-urban ratio</topic><topic>Smoking</topic><topic>Sociodemographics</topic><topic>Statistical analysis</topic><topic>Tobacco</topic><topic>Urban areas</topic><topic>Urbanization</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Das, Ujjwal</creatorcontrib><creatorcontrib>Kar, Nishamani</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC endocrine disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Das, Ujjwal</au><au>Kar, Nishamani</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and risk factor of diabetes among the elderly people in West Bengal: evidence-based LASI 1st wave</atitle><jtitle>BMC endocrine disorders</jtitle><addtitle>BMC Endocr Disord</addtitle><date>2023-08-11</date><risdate>2023</risdate><volume>23</volume><issue>1</issue><spage>170</spage><epage>170</epage><pages>170-170</pages><artnum>170</artnum><issn>1472-6823</issn><eissn>1472-6823</eissn><abstract>The complication of Diabetes is one of the important health issues among the older adult population in any region. The higher risks of diabetes prevalence among older adult people in the countries was due to social-cultural changes such as increasing urbanization, dietary changes, without physical activity, and unhealthy lifestyle behavior. The present study examines the prevalence and associated risk factors of diabetes among older adults in the state of West Bengal.
The first wave of the Longitudinal Ageing Study in India 2017-18 was used to achieve the study objectives. Descriptive statistics with multinomial logistic regression models were used to carry out crude and adjusted odds ratios with 95% confidence intervals and examine the associated risk factors of diabetes prevalence among older adults.
The findings of the study indicate that the overall prevalence of diabetes among the study participants was found to be 12.4% which was significantly higher in urban areas (19%) compare to rural areas (6%). The socio-economic and bio-demographic factors like educational status, richest background family, marital status, obesity, and family history of diabetes were significantly associated with higher risks of diabetes prevalence among the older adult population in West Bengal. The risks of diabetes in the richest adult people were significantly higher than in the poorest adult people (OR = 2.78; 95% CI: 1.974-3.917). The higher risks of diabetes mellitus among the richest wealthy people are because of lifestyle behavior, smoking, and tobacco consumption respectively.
The study needs to policy and awareness program to reduce economic inequality and prevention of diabetes care and treatment-seeking behavior, especially for the older adult population in West Bengal.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>37568234</pmid><doi>10.1186/s12902-023-01421-3</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-3791-4805</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age groups Behavior Diabetes Diabetes mellitus Dietary pattern Exercise Expenditures Food habits GDP Geriatrics Gross Domestic Product Health care Lifestyles Logistic regression Males Marital status Medical research Medicine, Experimental Older people Physical activity Physical fitness Population Public health Regression analysis Risk factors Rural areas Rural-urban ratio Smoking Sociodemographics Statistical analysis Tobacco Urban areas Urbanization Variables |
title | Prevalence and risk factor of diabetes among the elderly people in West Bengal: evidence-based LASI 1st wave |
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