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Prevalence and predictors of overweight and obesity in Brazilian immigrants in Massachusetts
Overweight and obesity are important risk factors for chronic non-communicable diseases, and their prevalence is on the rise worldwide. This study seeks to describe the prevalence and predictors of overweight and obesity in Brazilian immigrants living in Massachusetts, United States of America (USA)...
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Published in: | BMC public health 2020-01, Vol.20 (1), p.42-9, Article 42 |
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description | Overweight and obesity are important risk factors for chronic non-communicable diseases, and their prevalence is on the rise worldwide. This study seeks to describe the prevalence and predictors of overweight and obesity in Brazilian immigrants living in Massachusetts, United States of America (USA).
Modeled after a survey on behavioral risk factors for chronic disease conducted annually in Brazil (Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico: Vigitel), Brazilian immigrants aged 18+ (n = 361) were surveyed between December 2013 and March 2014. Information was obtained from consenting participants regarding their demographic characteristics, physical activity, dietary and lifestyle habits, and other behavioral risk factors. Weight status was estimated from body mass index (BMI), calculated from self-reported height and weight data. Participants were categorized as overweight/obese if their BMI was ≥25; overweight and obese categories were combined to ensure appropriate sample size. Prevalence of overweight/obesity was estimated using STATA, and significant predictors were identified via multi-variable logistic regression. Odds ratio (OR), 95% confidence intervals (95% CI) and p-values were determined.
The overall prevalence of overweight/obesity in the sample was 47.6%. Significant predictors of overweight and obesity were gender (men OR 2.30, 95% CI: 1.10, 3.78; women are comparison group), working in the 3 months prior to the survey (OR 2.90, 95% CI: 1.01, 8.30), and longer duration living in the USA (OR per additional year 1.06, 95% CI: 1.02, 1.11). Significant dietary predictors of overweight/obesity included 5 or more days per week of consumption of red meat (OR red meat 3.70, 95% CI: 1.47, 9.26) or of sweetened beverages, like soft drinks also known as soda (OR soda 2.40, 95% CI: 1.00, 5.78) compared with less frequent consumption of these foods.
This study suggests that long duration of time lived in the USA increases odds of overweight and obesity for Brazilian immigrants living in Massachusetts. Efforts to curb increases in overweight and obesity in this population should focus not only on the men and those who work but also the women. Possible intervention measures should target soda (soft drink) and red meat consumption in Brazilian immigrants. |
doi_str_mv | 10.1186/s12889-020-8144-8 |
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Modeled after a survey on behavioral risk factors for chronic disease conducted annually in Brazil (Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico: Vigitel), Brazilian immigrants aged 18+ (n = 361) were surveyed between December 2013 and March 2014. Information was obtained from consenting participants regarding their demographic characteristics, physical activity, dietary and lifestyle habits, and other behavioral risk factors. Weight status was estimated from body mass index (BMI), calculated from self-reported height and weight data. Participants were categorized as overweight/obese if their BMI was ≥25; overweight and obese categories were combined to ensure appropriate sample size. Prevalence of overweight/obesity was estimated using STATA, and significant predictors were identified via multi-variable logistic regression. Odds ratio (OR), 95% confidence intervals (95% CI) and p-values were determined.
The overall prevalence of overweight/obesity in the sample was 47.6%. Significant predictors of overweight and obesity were gender (men OR 2.30, 95% CI: 1.10, 3.78; women are comparison group), working in the 3 months prior to the survey (OR 2.90, 95% CI: 1.01, 8.30), and longer duration living in the USA (OR per additional year 1.06, 95% CI: 1.02, 1.11). Significant dietary predictors of overweight/obesity included 5 or more days per week of consumption of red meat (OR red meat 3.70, 95% CI: 1.47, 9.26) or of sweetened beverages, like soft drinks also known as soda (OR soda 2.40, 95% CI: 1.00, 5.78) compared with less frequent consumption of these foods.
This study suggests that long duration of time lived in the USA increases odds of overweight and obesity for Brazilian immigrants living in Massachusetts. Efforts to curb increases in overweight and obesity in this population should focus not only on the men and those who work but also the women. Possible intervention measures should target soda (soft drink) and red meat consumption in Brazilian immigrants.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-020-8144-8</identifier><identifier>PMID: 31924212</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Acculturation ; Adolescent ; Adult ; Age groups ; Aged ; Beverages ; Body mass index ; Body size ; Body weight ; Brazil - ethnology ; Brazilians ; Chronic diseases ; Chronic illnesses ; Communicable diseases ; Confidence intervals ; Consent ; Consumption ; Demographic aspects ; Demographics ; Diet - adverse effects ; Diet - statistics & numerical data ; Diplomatic & consular services ; Diseases ; Emigrants and Immigrants - statistics & numerical data ; Estimates ; Exercise ; Female ; Food consumption ; Gender ; Health aspects ; Humans ; Immigrant health ; Immigrants ; Latin American immigrants ; Male ; Male identity ; Massachusetts - epidemiology ; Mathematical analysis ; Meat ; Medical research ; Middle Aged ; Noncitizens ; Obesity ; Obesity - epidemiology ; Overweight ; Overweight - epidemiology ; Physical activity ; Physical fitness ; Polls & surveys ; Population ; Prevalence ; Prevalence studies (Epidemiology) ; Public health ; Risk analysis ; Risk Factors ; Risk taking ; Soft drinks ; Statistical analysis ; Statistics ; Time ; USA ; Young Adult</subject><ispartof>BMC public health, 2020-01, Vol.20 (1), p.42-9, Article 42</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. 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). 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c560t-d816c558e1023fd966a56a7b7d32937ad31f85b0fa9317a736c01fb4dfe27ff53</citedby><cites>FETCH-LOGICAL-c560t-d816c558e1023fd966a56a7b7d32937ad31f85b0fa9317a736c01fb4dfe27ff53</cites><orcidid>0000-0003-4606-2795</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/PMC6954574/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2341570644?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31924212$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Klabunde, Rachel A</creatorcontrib><creatorcontrib>Lazar Neto, Felippe</creatorcontrib><creatorcontrib>Louzada, Andressa</creatorcontrib><creatorcontrib>de Moura, Ricardo Faé</creatorcontrib><creatorcontrib>Calixto, Fernando Morelli</creatorcontrib><creatorcontrib>Danaei, Goodarz</creatorcontrib><creatorcontrib>Castro, Marcia C</creatorcontrib><title>Prevalence and predictors of overweight and obesity in Brazilian immigrants in Massachusetts</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Overweight and obesity are important risk factors for chronic non-communicable diseases, and their prevalence is on the rise worldwide. This study seeks to describe the prevalence and predictors of overweight and obesity in Brazilian immigrants living in Massachusetts, United States of America (USA).
Modeled after a survey on behavioral risk factors for chronic disease conducted annually in Brazil (Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico: Vigitel), Brazilian immigrants aged 18+ (n = 361) were surveyed between December 2013 and March 2014. Information was obtained from consenting participants regarding their demographic characteristics, physical activity, dietary and lifestyle habits, and other behavioral risk factors. Weight status was estimated from body mass index (BMI), calculated from self-reported height and weight data. Participants were categorized as overweight/obese if their BMI was ≥25; overweight and obese categories were combined to ensure appropriate sample size. Prevalence of overweight/obesity was estimated using STATA, and significant predictors were identified via multi-variable logistic regression. Odds ratio (OR), 95% confidence intervals (95% CI) and p-values were determined.
The overall prevalence of overweight/obesity in the sample was 47.6%. Significant predictors of overweight and obesity were gender (men OR 2.30, 95% CI: 1.10, 3.78; women are comparison group), working in the 3 months prior to the survey (OR 2.90, 95% CI: 1.01, 8.30), and longer duration living in the USA (OR per additional year 1.06, 95% CI: 1.02, 1.11). Significant dietary predictors of overweight/obesity included 5 or more days per week of consumption of red meat (OR red meat 3.70, 95% CI: 1.47, 9.26) or of sweetened beverages, like soft drinks also known as soda (OR soda 2.40, 95% CI: 1.00, 5.78) compared with less frequent consumption of these foods.
This study suggests that long duration of time lived in the USA increases odds of overweight and obesity for Brazilian immigrants living in Massachusetts. Efforts to curb increases in overweight and obesity in this population should focus not only on the men and those who work but also the women. Possible intervention measures should target soda (soft drink) and red meat consumption in Brazilian immigrants.</description><subject>Acculturation</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age groups</subject><subject>Aged</subject><subject>Beverages</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Brazil - ethnology</subject><subject>Brazilians</subject><subject>Chronic diseases</subject><subject>Chronic illnesses</subject><subject>Communicable diseases</subject><subject>Confidence intervals</subject><subject>Consent</subject><subject>Consumption</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Diet - adverse effects</subject><subject>Diet - statistics & numerical data</subject><subject>Diplomatic & consular services</subject><subject>Diseases</subject><subject>Emigrants and Immigrants - statistics & numerical data</subject><subject>Estimates</subject><subject>Exercise</subject><subject>Female</subject><subject>Food consumption</subject><subject>Gender</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Immigrant health</subject><subject>Immigrants</subject><subject>Latin American immigrants</subject><subject>Male</subject><subject>Male identity</subject><subject>Massachusetts - epidemiology</subject><subject>Mathematical analysis</subject><subject>Meat</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Noncitizens</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Overweight</subject><subject>Overweight - epidemiology</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Prevalence</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Public health</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk taking</subject><subject>Soft drinks</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Time</subject><subject>USA</subject><subject>Young Adult</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1rFDEUhgdRbK3-AG9kwBtvpubke26EWvwoVPRC74SQyZzsZpmZrMnsSvvrm-3W2hUJIeHkfZ-Qk7eqXgI5BdDybQaqddsQShoNnDf6UXUMXEFDudCPH-yPqmc5rwgBpQV9Wh0xaCmnQI-rn98Sbu2Ak8PaTn29TtgHN8eU6-jruMX0G8NiOd8exg5zmK_qMNXvk70OQ7BTHcYxLJKd5ryrf7E5W7fcZJzn_Lx64u2Q8cXdelL9-Pjh-_nn5vLrp4vzs8vGCUnmptcgnRAagVDm-1ZKK6RVneoZbZmyPQOvRUe8bRkoq5h0BHzHe49UeS_YSXWx5_bRrsw6hdGmKxNtMLeFmBbGpjm4AU3bOdpqx6n0lgNi6z0w4axH7pyGrrDe7VnrTTdi73Cakx0OoIcnU1iaRdwa2QouFC-AN3eAFH9tMM9mDNnhMNgJ4yYbypikXHKpivT1P9JV3KSptKqoOAhFJOd_VYvyTyZMPpZ73Q5qziRoJcpkRXX6H1UZPY7BxQl9KPUDA-wNLsWcE_r7NwIxu3iZfbxMiZfZxcvo4nn1sDn3jj95YjeRwctE</recordid><startdate>20200110</startdate><enddate>20200110</enddate><creator>Klabunde, Rachel A</creator><creator>Lazar Neto, Felippe</creator><creator>Louzada, Andressa</creator><creator>de Moura, Ricardo Faé</creator><creator>Calixto, Fernando Morelli</creator><creator>Danaei, Goodarz</creator><creator>Castro, Marcia C</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>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>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4606-2795</orcidid></search><sort><creationdate>20200110</creationdate><title>Prevalence and predictors of overweight and obesity in Brazilian immigrants in Massachusetts</title><author>Klabunde, Rachel A ; Lazar Neto, Felippe ; Louzada, Andressa ; de Moura, Ricardo Faé ; Calixto, Fernando Morelli ; Danaei, Goodarz ; Castro, Marcia C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c560t-d816c558e1023fd966a56a7b7d32937ad31f85b0fa9317a736c01fb4dfe27ff53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acculturation</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age groups</topic><topic>Aged</topic><topic>Beverages</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Brazil - ethnology</topic><topic>Brazilians</topic><topic>Chronic diseases</topic><topic>Chronic illnesses</topic><topic>Communicable diseases</topic><topic>Confidence intervals</topic><topic>Consent</topic><topic>Consumption</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Diet - adverse effects</topic><topic>Diet - statistics & numerical data</topic><topic>Diplomatic & consular services</topic><topic>Diseases</topic><topic>Emigrants and Immigrants - statistics & numerical data</topic><topic>Estimates</topic><topic>Exercise</topic><topic>Female</topic><topic>Food consumption</topic><topic>Gender</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Immigrant health</topic><topic>Immigrants</topic><topic>Latin American immigrants</topic><topic>Male</topic><topic>Male identity</topic><topic>Massachusetts - epidemiology</topic><topic>Mathematical analysis</topic><topic>Meat</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Noncitizens</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Overweight</topic><topic>Overweight - epidemiology</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Polls & surveys</topic><topic>Population</topic><topic>Prevalence</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Public health</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk taking</topic><topic>Soft drinks</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Time</topic><topic>USA</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Klabunde, Rachel A</creatorcontrib><creatorcontrib>Lazar Neto, Felippe</creatorcontrib><creatorcontrib>Louzada, Andressa</creatorcontrib><creatorcontrib>de Moura, Ricardo Faé</creatorcontrib><creatorcontrib>Calixto, Fernando Morelli</creatorcontrib><creatorcontrib>Danaei, Goodarz</creatorcontrib><creatorcontrib>Castro, Marcia C</creatorcontrib><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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 Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Environmental Science 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Klabunde, Rachel A</au><au>Lazar Neto, Felippe</au><au>Louzada, Andressa</au><au>de Moura, Ricardo Faé</au><au>Calixto, Fernando Morelli</au><au>Danaei, Goodarz</au><au>Castro, Marcia C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and predictors of overweight and obesity in Brazilian immigrants in Massachusetts</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2020-01-10</date><risdate>2020</risdate><volume>20</volume><issue>1</issue><spage>42</spage><epage>9</epage><pages>42-9</pages><artnum>42</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Overweight and obesity are important risk factors for chronic non-communicable diseases, and their prevalence is on the rise worldwide. This study seeks to describe the prevalence and predictors of overweight and obesity in Brazilian immigrants living in Massachusetts, United States of America (USA).
Modeled after a survey on behavioral risk factors for chronic disease conducted annually in Brazil (Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico: Vigitel), Brazilian immigrants aged 18+ (n = 361) were surveyed between December 2013 and March 2014. Information was obtained from consenting participants regarding their demographic characteristics, physical activity, dietary and lifestyle habits, and other behavioral risk factors. Weight status was estimated from body mass index (BMI), calculated from self-reported height and weight data. Participants were categorized as overweight/obese if their BMI was ≥25; overweight and obese categories were combined to ensure appropriate sample size. Prevalence of overweight/obesity was estimated using STATA, and significant predictors were identified via multi-variable logistic regression. Odds ratio (OR), 95% confidence intervals (95% CI) and p-values were determined.
The overall prevalence of overweight/obesity in the sample was 47.6%. Significant predictors of overweight and obesity were gender (men OR 2.30, 95% CI: 1.10, 3.78; women are comparison group), working in the 3 months prior to the survey (OR 2.90, 95% CI: 1.01, 8.30), and longer duration living in the USA (OR per additional year 1.06, 95% CI: 1.02, 1.11). Significant dietary predictors of overweight/obesity included 5 or more days per week of consumption of red meat (OR red meat 3.70, 95% CI: 1.47, 9.26) or of sweetened beverages, like soft drinks also known as soda (OR soda 2.40, 95% CI: 1.00, 5.78) compared with less frequent consumption of these foods.
This study suggests that long duration of time lived in the USA increases odds of overweight and obesity for Brazilian immigrants living in Massachusetts. Efforts to curb increases in overweight and obesity in this population should focus not only on the men and those who work but also the women. Possible intervention measures should target soda (soft drink) and red meat consumption in Brazilian immigrants.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>31924212</pmid><doi>10.1186/s12889-020-8144-8</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-4606-2795</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acculturation Adolescent Adult Age groups Aged Beverages Body mass index Body size Body weight Brazil - ethnology Brazilians Chronic diseases Chronic illnesses Communicable diseases Confidence intervals Consent Consumption Demographic aspects Demographics Diet - adverse effects Diet - statistics & numerical data Diplomatic & consular services Diseases Emigrants and Immigrants - statistics & numerical data Estimates Exercise Female Food consumption Gender Health aspects Humans Immigrant health Immigrants Latin American immigrants Male Male identity Massachusetts - epidemiology Mathematical analysis Meat Medical research Middle Aged Noncitizens Obesity Obesity - epidemiology Overweight Overweight - epidemiology Physical activity Physical fitness Polls & surveys Population Prevalence Prevalence studies (Epidemiology) Public health Risk analysis Risk Factors Risk taking Soft drinks Statistical analysis Statistics Time USA Young Adult |
title | Prevalence and predictors of overweight and obesity in Brazilian immigrants in Massachusetts |
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