Trends and patterns of the double burden of malnutrition (DBM) in Peru: a pooled analysis of 129,159 mother–child dyads
Background This study aims to evaluate trends of DBM in Peru over the last 20 years. Methods Using individual-level data collected in nationally representative household surveys from Peru between 1996 and 2017, we analysed trends in the prevalence and patterning of the DBM. We classified the nutriti...
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| Veröffentlicht in: | International Journal of Obesity 2021-03, Vol.45 (3), p.609-618 |
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| creator | Pomati, Marco Mendoza-Quispe, Daniel Anza-Ramirez, Cecilia Hernández-Vásquez, Akram Carrillo Larco, Rodrigo M. Fernandez, Gabriela Nandy, Shailen Miranda, J. Jaime Bernabé-Ortiz, Antonio |
| description | Background
This study aims to evaluate trends of DBM in Peru over the last 20 years.
Methods
Using individual-level data collected in nationally representative household surveys from Peru between 1996 and 2017, we analysed trends in the prevalence and patterning of the DBM. We classified the nutritional status of children and their mothers as undernourished (either underweight, stunted or wasted for children), normal, overweight or obese. Children classified as experiencing the DBM were those undernourished and living with an overweight or obese mother. We also fitted logistic regression models to evaluate the probability of children having an overweight/obese mother across subgroups of socioeconomic status, place of residence and education.
Results
The overall percentage of children experiencing the DBM in 2016 was 7%, and constitutes ~203,600 children (90% of whom were stunted). Between 1996 and 2016, undernourished children have seen the largest relative increase in the risk of having an overweight mother (31% vs. 37%) or obese mother (6% vs. 17%); however, due to the substantial decrease in the absolute number of undernourished children, the DBM has not grown. Moreover, all children, irrespective of their own nutritional status, are now more likely to live with an overweight or obese mother, a consistent pattern across wealth, location and education subgroups, and all regions of Peru.
Conclusions
DBM prevalence in Peru has decreased, although the number of DBM cases is estimated to be above 200,000. In addition, all children are now more likely to live with overweight or obese mothers. The basic pattern has shifted from one of undernourished children whose mothers have a ‘normal’ BMI, to one where now most children have a ‘normal’ or healthy anthropometric status, but whose mothers are overweight or obese. This suggest that Peru is on the cusp of a major public health challenge requiring significant action. |
| doi_str_mv | 10.1038/s41366-020-00725-x |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7906898</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A655716169</galeid><sourcerecordid>A655716169</sourcerecordid><originalsourceid>FETCH-LOGICAL-c572t-2264b30f49262548494d4aa4f32ca5fe34352e9913b5d9a797d3be025db06713</originalsourceid><addsrcrecordid>eNp9kt1qFDEYhgdR7Fq9AQ8kIEgFp-Y_Ew-EWn-hogd7HjKTzG5KJlmTGemeeQ_eoVdiplvbrojkIPB9z_sm-fJW1WMEjxEkzctMEeG8hhjWEArM6os71QJRwWtGpbhbLSCBooaMs4PqQc7nEELGIL5fHRBCIeZNs6i2y2SDyUAHAzZ6HG0KGcQejGsLTJxab0E7JWPDXBy0D9OY3OhiAEdv33x-DlwAX22aXgENNjF6a4qT9tvsLl0Qli8Qk2CIxS_9-vGzWztvgNlqkx9W93rts310tR9Wy_fvlqcf67MvHz6dnpzVHRN4rDHmtCWwpxJzzGhDJTVUa9oT3GnWW0IJw1ZKRFpmpBZSGNJaiJlpIReIHFavd7abqR2s6WwYk_Zqk9yg01ZF7dR-J7i1WsXvSkjIG9kUg6MrgxS_TTaPanC5s97rYOOUFaaCMcwJEgV9-hd6HqdU5jFTkpTrCwxvqJX2VrnQx3JuN5uqE86YQBxxWajjf1BlGTu4Lgbbu1LfEzy7JVhb7cd1jn6aPyvvg3gHdinmnGx_PQwE1RwstQuWKsFSl8FSF0X05PYYryV_klQAsgNyaYWVTTdv_4_tbzHw1sk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2493254720</pqid></control><display><type>article</type><title>Trends and patterns of the double burden of malnutrition (DBM) in Peru: a pooled analysis of 129,159 mother–child dyads</title><source>MEDLINE</source><source>Nature</source><source>SpringerLink Journals - AutoHoldings</source><creator>Pomati, Marco ; Mendoza-Quispe, Daniel ; Anza-Ramirez, Cecilia ; Hernández-Vásquez, Akram ; Carrillo Larco, Rodrigo M. ; Fernandez, Gabriela ; Nandy, Shailen ; Miranda, J. Jaime ; Bernabé-Ortiz, Antonio</creator><creatorcontrib>Pomati, Marco ; Mendoza-Quispe, Daniel ; Anza-Ramirez, Cecilia ; Hernández-Vásquez, Akram ; Carrillo Larco, Rodrigo M. ; Fernandez, Gabriela ; Nandy, Shailen ; Miranda, J. Jaime ; Bernabé-Ortiz, Antonio</creatorcontrib><description>Background
This study aims to evaluate trends of DBM in Peru over the last 20 years.
Methods
Using individual-level data collected in nationally representative household surveys from Peru between 1996 and 2017, we analysed trends in the prevalence and patterning of the DBM. We classified the nutritional status of children and their mothers as undernourished (either underweight, stunted or wasted for children), normal, overweight or obese. Children classified as experiencing the DBM were those undernourished and living with an overweight or obese mother. We also fitted logistic regression models to evaluate the probability of children having an overweight/obese mother across subgroups of socioeconomic status, place of residence and education.
Results
The overall percentage of children experiencing the DBM in 2016 was 7%, and constitutes ~203,600 children (90% of whom were stunted). Between 1996 and 2016, undernourished children have seen the largest relative increase in the risk of having an overweight mother (31% vs. 37%) or obese mother (6% vs. 17%); however, due to the substantial decrease in the absolute number of undernourished children, the DBM has not grown. Moreover, all children, irrespective of their own nutritional status, are now more likely to live with an overweight or obese mother, a consistent pattern across wealth, location and education subgroups, and all regions of Peru.
Conclusions
DBM prevalence in Peru has decreased, although the number of DBM cases is estimated to be above 200,000. In addition, all children are now more likely to live with overweight or obese mothers. The basic pattern has shifted from one of undernourished children whose mothers have a ‘normal’ BMI, to one where now most children have a ‘normal’ or healthy anthropometric status, but whose mothers are overweight or obese. This suggest that Peru is on the cusp of a major public health challenge requiring significant action.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/s41366-020-00725-x</identifier><identifier>PMID: 33402688</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/308/174 ; 692/699/1702/295 ; Adolescent ; Adult ; Body weight ; Child, Preschool ; Children ; Cross-Sectional Studies ; Education ; Epidemiology ; Evaluation ; Female ; Health aspects ; Health Promotion and Disease Prevention ; Humans ; Infant ; Infant, Newborn ; Internal Medicine ; Male ; Malnutrition ; Malnutrition - epidemiology ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle Aged ; Mother and child ; Mothers ; Mothers - statistics & numerical data ; Nutritional status ; Nutritional Status - physiology ; Obesity ; Obesity - epidemiology ; Overweight ; Overweight - epidemiology ; Patterning ; Pediatric research ; Peru - epidemiology ; Prevalence ; Public Health ; Regression analysis ; Regression models ; Risk factors ; Socioeconomic Factors ; Socioeconomics ; Statistical analysis ; Statistics ; Subgroups ; Trends ; Underweight ; Young Adult</subject><ispartof>International Journal of Obesity, 2021-03, Vol.45 (3), p.609-618</ispartof><rights>The Author(s) 2021</rights><rights>COPYRIGHT 2021 Nature Publishing Group</rights><rights>The Author(s) 2021. This work is published 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c572t-2264b30f49262548494d4aa4f32ca5fe34352e9913b5d9a797d3be025db06713</citedby><cites>FETCH-LOGICAL-c572t-2264b30f49262548494d4aa4f32ca5fe34352e9913b5d9a797d3be025db06713</cites><orcidid>0000-0002-3370-2709 ; 0000-0003-0174-5816 ; 0000-0002-4738-5468 ; 0000-0002-6834-1376 ; 0000-0001-7364-8252</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41366-020-00725-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41366-020-00725-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33402688$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pomati, Marco</creatorcontrib><creatorcontrib>Mendoza-Quispe, Daniel</creatorcontrib><creatorcontrib>Anza-Ramirez, Cecilia</creatorcontrib><creatorcontrib>Hernández-Vásquez, Akram</creatorcontrib><creatorcontrib>Carrillo Larco, Rodrigo M.</creatorcontrib><creatorcontrib>Fernandez, Gabriela</creatorcontrib><creatorcontrib>Nandy, Shailen</creatorcontrib><creatorcontrib>Miranda, J. Jaime</creatorcontrib><creatorcontrib>Bernabé-Ortiz, Antonio</creatorcontrib><title>Trends and patterns of the double burden of malnutrition (DBM) in Peru: a pooled analysis of 129,159 mother–child dyads</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>Background
This study aims to evaluate trends of DBM in Peru over the last 20 years.
Methods
Using individual-level data collected in nationally representative household surveys from Peru between 1996 and 2017, we analysed trends in the prevalence and patterning of the DBM. We classified the nutritional status of children and their mothers as undernourished (either underweight, stunted or wasted for children), normal, overweight or obese. Children classified as experiencing the DBM were those undernourished and living with an overweight or obese mother. We also fitted logistic regression models to evaluate the probability of children having an overweight/obese mother across subgroups of socioeconomic status, place of residence and education.
Results
The overall percentage of children experiencing the DBM in 2016 was 7%, and constitutes ~203,600 children (90% of whom were stunted). Between 1996 and 2016, undernourished children have seen the largest relative increase in the risk of having an overweight mother (31% vs. 37%) or obese mother (6% vs. 17%); however, due to the substantial decrease in the absolute number of undernourished children, the DBM has not grown. Moreover, all children, irrespective of their own nutritional status, are now more likely to live with an overweight or obese mother, a consistent pattern across wealth, location and education subgroups, and all regions of Peru.
Conclusions
DBM prevalence in Peru has decreased, although the number of DBM cases is estimated to be above 200,000. In addition, all children are now more likely to live with overweight or obese mothers. The basic pattern has shifted from one of undernourished children whose mothers have a ‘normal’ BMI, to one where now most children have a ‘normal’ or healthy anthropometric status, but whose mothers are overweight or obese. This suggest that Peru is on the cusp of a major public health challenge requiring significant action.</description><subject>692/308/174</subject><subject>692/699/1702/295</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Body weight</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Cross-Sectional Studies</subject><subject>Education</subject><subject>Epidemiology</subject><subject>Evaluation</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health Promotion and Disease Prevention</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Malnutrition - epidemiology</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Middle Aged</subject><subject>Mother and child</subject><subject>Mothers</subject><subject>Mothers - statistics & numerical data</subject><subject>Nutritional status</subject><subject>Nutritional Status - physiology</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Overweight</subject><subject>Overweight - epidemiology</subject><subject>Patterning</subject><subject>Pediatric research</subject><subject>Peru - epidemiology</subject><subject>Prevalence</subject><subject>Public Health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk factors</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Subgroups</subject><subject>Trends</subject><subject>Underweight</subject><subject>Young Adult</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kt1qFDEYhgdR7Fq9AQ8kIEgFp-Y_Ew-EWn-hogd7HjKTzG5KJlmTGemeeQ_eoVdiplvbrojkIPB9z_sm-fJW1WMEjxEkzctMEeG8hhjWEArM6os71QJRwWtGpbhbLSCBooaMs4PqQc7nEELGIL5fHRBCIeZNs6i2y2SDyUAHAzZ6HG0KGcQejGsLTJxab0E7JWPDXBy0D9OY3OhiAEdv33x-DlwAX22aXgENNjF6a4qT9tvsLl0Qli8Qk2CIxS_9-vGzWztvgNlqkx9W93rts310tR9Wy_fvlqcf67MvHz6dnpzVHRN4rDHmtCWwpxJzzGhDJTVUa9oT3GnWW0IJw1ZKRFpmpBZSGNJaiJlpIReIHFavd7abqR2s6WwYk_Zqk9yg01ZF7dR-J7i1WsXvSkjIG9kUg6MrgxS_TTaPanC5s97rYOOUFaaCMcwJEgV9-hd6HqdU5jFTkpTrCwxvqJX2VrnQx3JuN5uqE86YQBxxWajjf1BlGTu4Lgbbu1LfEzy7JVhb7cd1jn6aPyvvg3gHdinmnGx_PQwE1RwstQuWKsFSl8FSF0X05PYYryV_klQAsgNyaYWVTTdv_4_tbzHw1sk</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Pomati, Marco</creator><creator>Mendoza-Quispe, Daniel</creator><creator>Anza-Ramirez, Cecilia</creator><creator>Hernández-Vásquez, Akram</creator><creator>Carrillo Larco, Rodrigo M.</creator><creator>Fernandez, Gabriela</creator><creator>Nandy, Shailen</creator><creator>Miranda, J. 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Jaime ; Bernabé-Ortiz, Antonio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-2264b30f49262548494d4aa4f32ca5fe34352e9913b5d9a797d3be025db06713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>692/308/174</topic><topic>692/699/1702/295</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Body weight</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Cross-Sectional Studies</topic><topic>Education</topic><topic>Epidemiology</topic><topic>Evaluation</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health Promotion and Disease Prevention</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Malnutrition</topic><topic>Malnutrition - epidemiology</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Middle Aged</topic><topic>Mother and child</topic><topic>Mothers</topic><topic>Mothers - statistics & numerical data</topic><topic>Nutritional status</topic><topic>Nutritional Status - physiology</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Overweight</topic><topic>Overweight - epidemiology</topic><topic>Patterning</topic><topic>Pediatric research</topic><topic>Peru - epidemiology</topic><topic>Prevalence</topic><topic>Public Health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk factors</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomics</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Subgroups</topic><topic>Trends</topic><topic>Underweight</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pomati, Marco</creatorcontrib><creatorcontrib>Mendoza-Quispe, Daniel</creatorcontrib><creatorcontrib>Anza-Ramirez, Cecilia</creatorcontrib><creatorcontrib>Hernández-Vásquez, Akram</creatorcontrib><creatorcontrib>Carrillo Larco, Rodrigo M.</creatorcontrib><creatorcontrib>Fernandez, Gabriela</creatorcontrib><creatorcontrib>Nandy, Shailen</creatorcontrib><creatorcontrib>Miranda, J. Jaime</creatorcontrib><creatorcontrib>Bernabé-Ortiz, Antonio</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database (ProQuest)</collection><collection>Biological Science 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>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pomati, Marco</au><au>Mendoza-Quispe, Daniel</au><au>Anza-Ramirez, Cecilia</au><au>Hernández-Vásquez, Akram</au><au>Carrillo Larco, Rodrigo M.</au><au>Fernandez, Gabriela</au><au>Nandy, Shailen</au><au>Miranda, J. Jaime</au><au>Bernabé-Ortiz, Antonio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trends and patterns of the double burden of malnutrition (DBM) in Peru: a pooled analysis of 129,159 mother–child dyads</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>45</volume><issue>3</issue><spage>609</spage><epage>618</epage><pages>609-618</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><abstract>Background
This study aims to evaluate trends of DBM in Peru over the last 20 years.
Methods
Using individual-level data collected in nationally representative household surveys from Peru between 1996 and 2017, we analysed trends in the prevalence and patterning of the DBM. We classified the nutritional status of children and their mothers as undernourished (either underweight, stunted or wasted for children), normal, overweight or obese. Children classified as experiencing the DBM were those undernourished and living with an overweight or obese mother. We also fitted logistic regression models to evaluate the probability of children having an overweight/obese mother across subgroups of socioeconomic status, place of residence and education.
Results
The overall percentage of children experiencing the DBM in 2016 was 7%, and constitutes ~203,600 children (90% of whom were stunted). Between 1996 and 2016, undernourished children have seen the largest relative increase in the risk of having an overweight mother (31% vs. 37%) or obese mother (6% vs. 17%); however, due to the substantial decrease in the absolute number of undernourished children, the DBM has not grown. Moreover, all children, irrespective of their own nutritional status, are now more likely to live with an overweight or obese mother, a consistent pattern across wealth, location and education subgroups, and all regions of Peru.
Conclusions
DBM prevalence in Peru has decreased, although the number of DBM cases is estimated to be above 200,000. In addition, all children are now more likely to live with overweight or obese mothers. The basic pattern has shifted from one of undernourished children whose mothers have a ‘normal’ BMI, to one where now most children have a ‘normal’ or healthy anthropometric status, but whose mothers are overweight or obese. This suggest that Peru is on the cusp of a major public health challenge requiring significant action.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33402688</pmid><doi>10.1038/s41366-020-00725-x</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-3370-2709</orcidid><orcidid>https://orcid.org/0000-0003-0174-5816</orcidid><orcidid>https://orcid.org/0000-0002-4738-5468</orcidid><orcidid>https://orcid.org/0000-0002-6834-1376</orcidid><orcidid>https://orcid.org/0000-0001-7364-8252</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0307-0565 |
| ispartof | International Journal of Obesity, 2021-03, Vol.45 (3), p.609-618 |
| issn | 0307-0565 1476-5497 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7906898 |
| source | MEDLINE; Nature; SpringerLink Journals - AutoHoldings |
| subjects | 692/308/174 692/699/1702/295 Adolescent Adult Body weight Child, Preschool Children Cross-Sectional Studies Education Epidemiology Evaluation Female Health aspects Health Promotion and Disease Prevention Humans Infant Infant, Newborn Internal Medicine Male Malnutrition Malnutrition - epidemiology Medicine Medicine & Public Health Metabolic Diseases Middle Aged Mother and child Mothers Mothers - statistics & numerical data Nutritional status Nutritional Status - physiology Obesity Obesity - epidemiology Overweight Overweight - epidemiology Patterning Pediatric research Peru - epidemiology Prevalence Public Health Regression analysis Regression models Risk factors Socioeconomic Factors Socioeconomics Statistical analysis Statistics Subgroups Trends Underweight Young Adult |
| title | Trends and patterns of the double burden of malnutrition (DBM) in Peru: a pooled analysis of 129,159 mother–child dyads |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T18%3A57%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Trends%20and%20patterns%20of%20the%20double%20burden%20of%20malnutrition%20(DBM)%20in%20Peru:%20a%20pooled%20analysis%20of%20129,159%20mother%E2%80%93child%20dyads&rft.jtitle=International%20Journal%20of%20Obesity&rft.au=Pomati,%20Marco&rft.date=2021-03-01&rft.volume=45&rft.issue=3&rft.spage=609&rft.epage=618&rft.pages=609-618&rft.issn=0307-0565&rft.eissn=1476-5497&rft_id=info:doi/10.1038/s41366-020-00725-x&rft_dat=%3Cgale_pubme%3EA655716169%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2493254720&rft_id=info:pmid/33402688&rft_galeid=A655716169&rfr_iscdi=true |