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Dietary diversity and its association with changes in anthropometric indices of community-dwelling older adults in Tehran, Iran: a longitudinal study (2017-2021)
Dietary diversity refers to the consumption of a variety of foods or food groups over a given reference period, which is crucial for improving nutrition and overall health. This longitudinal study aimed to investigate the association between dietary diversity and anthropometric indices in community-...
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Published in: | BMC public health 2024-08, Vol.24 (1), p.2253-16, Article 2253 |
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description | Dietary diversity refers to the consumption of a variety of foods or food groups over a given reference period, which is crucial for improving nutrition and overall health. This longitudinal study aimed to investigate the association between dietary diversity and anthropometric indices in community-dwelling older adults living in Tehran in 2017 and 2021.
The current study was conducted on 368 older adults [204 (55.4%) women and 164 (44.6%) men] over 60 years of age living in Tehran, who were selected by a systematic cluster sampling method at two-time points, 2017 and 2021. Anthropometric measures (weight, height, hip circumference, and waist circumference) were assessed with standard methods. The participants' dietary intake was assessed by completing two non-consecutive 24-hour recalls, and dietary diversity score (DDS) was calculated based on Kant's method. Statistical analysis was performed using R software by the mixed effect model method.
The mean DDS of the participants in 2017 (5.07 ± 1.20) was higher than that in 2021 (4.94 ± 1.09) (p |
doi_str_mv | 10.1186/s12889-024-19635-y |
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The current study was conducted on 368 older adults [204 (55.4%) women and 164 (44.6%) men] over 60 years of age living in Tehran, who were selected by a systematic cluster sampling method at two-time points, 2017 and 2021. Anthropometric measures (weight, height, hip circumference, and waist circumference) were assessed with standard methods. The participants' dietary intake was assessed by completing two non-consecutive 24-hour recalls, and dietary diversity score (DDS) was calculated based on Kant's method. Statistical analysis was performed using R software by the mixed effect model method.
The mean DDS of the participants in 2017 (5.07 ± 1.20) was higher than that in 2021 (4.94 ± 1.09) (p < 0.05). DDS and dairy diversity score decreased significantly over time. After adjusting for confounders, there was an inverse relationship between the DDS and Body Mass Index (BMI) (B = -0.22; SE = 0.09), but the interaction effect of year × DDS (B = 0.19; SE = 0.10) was not significant (p = 0.06). However, there was a positive relationship between the DDS and A Body Shape Index (ABSI) (B = 0.00; p = 0.022), after adjusting for confounders, this relationship was no longer significant. Additionally, the interaction effect of year and DDS on the ABSI was not significant.
The dietary intake and dietary diversity of older adult residents of Tehran declined dramatically with age, and a higher DDS was associated with improved anthropometric indices. DDS had an inverse relationship with general obesity in the studied participants, and the passage of time did not affect this relationship. The DDS can be used as a predictive index and is a powerful tool for investigating changes in nutritional status in longitudinal studies of old age. However, longer-duration studies are needed to obtain more conclusive results.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-024-19635-y</identifier><identifier>PMID: 39164719</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adults ; Age ; Aged ; Analysis ; Anthropometric indices ; Anthropometry ; Body mass index ; Body size ; Dairy products ; Data collection ; Demographic aspects ; Diet ; Diet - statistics & numerical data ; Dietary diversity score ; Dietary intake ; Disease ; Female ; Food ; Food and nutrition ; Food consumption ; Food groups ; Food habits ; Food intake ; Fruits ; Health aspects ; Humans ; Independent Living ; Interviews ; Iran ; Longitudinal Studies ; Male ; Middle Aged ; Nutrition research ; Nutritional status ; Nutritionists ; Obesity ; Older adults ; Older people ; Population ; Questionnaires ; Sample size ; Software ; Statistical analysis ; Statistical models ; Variables</subject><ispartof>BMC public health, 2024-08, Vol.24 (1), p.2253-16, Article 2253</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. 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>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c445t-4ef6663b69ce3c1d01d6fa6eb4ef9e3830141f630ef0ec1bf546f3ddbd42dc323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11334311/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3102485324?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,38495,43874,44569,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39164719$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rezaei, Mahshid</creatorcontrib><creatorcontrib>Forouzan, Kimia</creatorcontrib><creatorcontrib>Eini-Zinab, Hassan</creatorcontrib><creatorcontrib>Omidvar, Nasrin</creatorcontrib><creatorcontrib>Jafaripour, Samaneh</creatorcontrib><creatorcontrib>Rezazadeh, Arezoo</creatorcontrib><title>Dietary diversity and its association with changes in anthropometric indices of community-dwelling older adults in Tehran, Iran: a longitudinal study (2017-2021)</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Dietary diversity refers to the consumption of a variety of foods or food groups over a given reference period, which is crucial for improving nutrition and overall health. This longitudinal study aimed to investigate the association between dietary diversity and anthropometric indices in community-dwelling older adults living in Tehran in 2017 and 2021.
The current study was conducted on 368 older adults [204 (55.4%) women and 164 (44.6%) men] over 60 years of age living in Tehran, who were selected by a systematic cluster sampling method at two-time points, 2017 and 2021. Anthropometric measures (weight, height, hip circumference, and waist circumference) were assessed with standard methods. The participants' dietary intake was assessed by completing two non-consecutive 24-hour recalls, and dietary diversity score (DDS) was calculated based on Kant's method. Statistical analysis was performed using R software by the mixed effect model method.
The mean DDS of the participants in 2017 (5.07 ± 1.20) was higher than that in 2021 (4.94 ± 1.09) (p < 0.05). DDS and dairy diversity score decreased significantly over time. After adjusting for confounders, there was an inverse relationship between the DDS and Body Mass Index (BMI) (B = -0.22; SE = 0.09), but the interaction effect of year × DDS (B = 0.19; SE = 0.10) was not significant (p = 0.06). However, there was a positive relationship between the DDS and A Body Shape Index (ABSI) (B = 0.00; p = 0.022), after adjusting for confounders, this relationship was no longer significant. Additionally, the interaction effect of year and DDS on the ABSI was not significant.
The dietary intake and dietary diversity of older adult residents of Tehran declined dramatically with age, and a higher DDS was associated with improved anthropometric indices. DDS had an inverse relationship with general obesity in the studied participants, and the passage of time did not affect this relationship. The DDS can be used as a predictive index and is a powerful tool for investigating changes in nutritional status in longitudinal studies of old age. However, longer-duration studies are needed to obtain more conclusive results.</description><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Analysis</subject><subject>Anthropometric indices</subject><subject>Anthropometry</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Dairy products</subject><subject>Data collection</subject><subject>Demographic aspects</subject><subject>Diet</subject><subject>Diet - statistics & numerical data</subject><subject>Dietary diversity score</subject><subject>Dietary intake</subject><subject>Disease</subject><subject>Female</subject><subject>Food</subject><subject>Food and nutrition</subject><subject>Food consumption</subject><subject>Food groups</subject><subject>Food habits</subject><subject>Food intake</subject><subject>Fruits</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Independent Living</subject><subject>Interviews</subject><subject>Iran</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nutrition research</subject><subject>Nutritional status</subject><subject>Nutritionists</subject><subject>Obesity</subject><subject>Older adults</subject><subject>Older people</subject><subject>Population</subject><subject>Questionnaires</subject><subject>Sample size</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Variables</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUttu1DAQjRCIloUf4AFZ4qVIpGRsx0l4QVW5rVSJl_JsOb5kvUrsxXZa7efwp3h3y6qLkKWxNXPO8czoFMVrqC4BWvYhAm7brqwwLaFjpC63T4pzoA2UmNbt00fvs-JFjOuqgqat8fPijHTAcq07L35_tjqJsEXK3ukQbdoi4RSyKSIRo5dWJOsdurdpheRKuEFHZF3GpFXwGz_pFKzMGWVlrniDpJ-m2WWdUt3rcbRuQH5UOiCh5jHtybd6FYR7j5Y5fkQCjd4NNs3KOjGimB9bdIFzryWuMLx7WTwzYoz61cO9KH5-_XJ7_b28-fFteX11U0pK61RSbRhjpGed1ESCqkAxI5juc6HTpCUVUDCMVNpUWkJvasoMUapXFCtJMFkUy4Ou8mLNN8FOeS3cC8v3CR8GLkKyctTcqBaahmFKGqC6oz1gpoSqjQTBSLvT-nTQ2sz9pJXULgUxnoieVpxd8cHfcQBCKMlxUVw8KAT_a9Yx8clGmRcqnPZz5KTqamgoIyxD3_4DXfs55F1mFGRztDXJnR5Rg8gTWGd8_ljuRPlVW7WEYrr_9vI_qHyUnqz0Thub8ycEfCDI4GMM2hyHhIrvXMoPLuW5Eb53Kd9m0pvH6zlS_tqS_AE1sOOS</recordid><startdate>20240820</startdate><enddate>20240820</enddate><creator>Rezaei, Mahshid</creator><creator>Forouzan, Kimia</creator><creator>Eini-Zinab, Hassan</creator><creator>Omidvar, Nasrin</creator><creator>Jafaripour, Samaneh</creator><creator>Rezazadeh, Arezoo</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240820</creationdate><title>Dietary diversity and its association with changes in anthropometric indices of community-dwelling older adults in Tehran, Iran: a longitudinal study (2017-2021)</title><author>Rezaei, Mahshid ; Forouzan, Kimia ; Eini-Zinab, Hassan ; Omidvar, Nasrin ; Jafaripour, Samaneh ; Rezazadeh, Arezoo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-4ef6663b69ce3c1d01d6fa6eb4ef9e3830141f630ef0ec1bf546f3ddbd42dc323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Analysis</topic><topic>Anthropometric indices</topic><topic>Anthropometry</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Dairy products</topic><topic>Data collection</topic><topic>Demographic aspects</topic><topic>Diet</topic><topic>Diet - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rezaei, Mahshid</au><au>Forouzan, Kimia</au><au>Eini-Zinab, Hassan</au><au>Omidvar, Nasrin</au><au>Jafaripour, Samaneh</au><au>Rezazadeh, Arezoo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary diversity and its association with changes in anthropometric indices of community-dwelling older adults in Tehran, Iran: a longitudinal study (2017-2021)</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2024-08-20</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>2253</spage><epage>16</epage><pages>2253-16</pages><artnum>2253</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Dietary diversity refers to the consumption of a variety of foods or food groups over a given reference period, which is crucial for improving nutrition and overall health. This longitudinal study aimed to investigate the association between dietary diversity and anthropometric indices in community-dwelling older adults living in Tehran in 2017 and 2021.
The current study was conducted on 368 older adults [204 (55.4%) women and 164 (44.6%) men] over 60 years of age living in Tehran, who were selected by a systematic cluster sampling method at two-time points, 2017 and 2021. Anthropometric measures (weight, height, hip circumference, and waist circumference) were assessed with standard methods. The participants' dietary intake was assessed by completing two non-consecutive 24-hour recalls, and dietary diversity score (DDS) was calculated based on Kant's method. Statistical analysis was performed using R software by the mixed effect model method.
The mean DDS of the participants in 2017 (5.07 ± 1.20) was higher than that in 2021 (4.94 ± 1.09) (p < 0.05). DDS and dairy diversity score decreased significantly over time. After adjusting for confounders, there was an inverse relationship between the DDS and Body Mass Index (BMI) (B = -0.22; SE = 0.09), but the interaction effect of year × DDS (B = 0.19; SE = 0.10) was not significant (p = 0.06). However, there was a positive relationship between the DDS and A Body Shape Index (ABSI) (B = 0.00; p = 0.022), after adjusting for confounders, this relationship was no longer significant. Additionally, the interaction effect of year and DDS on the ABSI was not significant.
The dietary intake and dietary diversity of older adult residents of Tehran declined dramatically with age, and a higher DDS was associated with improved anthropometric indices. DDS had an inverse relationship with general obesity in the studied participants, and the passage of time did not affect this relationship. The DDS can be used as a predictive index and is a powerful tool for investigating changes in nutritional status in longitudinal studies of old age. However, longer-duration studies are needed to obtain more conclusive results.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39164719</pmid><doi>10.1186/s12889-024-19635-y</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adults Age Aged Analysis Anthropometric indices Anthropometry Body mass index Body size Dairy products Data collection Demographic aspects Diet Diet - statistics & numerical data Dietary diversity score Dietary intake Disease Female Food Food and nutrition Food consumption Food groups Food habits Food intake Fruits Health aspects Humans Independent Living Interviews Iran Longitudinal Studies Male Middle Aged Nutrition research Nutritional status Nutritionists Obesity Older adults Older people Population Questionnaires Sample size Software Statistical analysis Statistical models Variables |
title | Dietary diversity and its association with changes in anthropometric indices of community-dwelling older adults in Tehran, Iran: a longitudinal study (2017-2021) |
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