At-risk serum cholesterol profile at both ends of the nutrition spectrum in West African adults? The Benin study
Low HDL-cholesterol (HDL-C), using as cut-offs 1.03 mmol/L in men and 1.29 mmol/L in women, was observed in more than 25% apparently healthy adults (n = 541) in a cross-sectional study on nutrition transition and cardiometabolic risk factors (CMRF) in Benin, West Africa. Both overweight/obesity (35....
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| description | Low HDL-cholesterol (HDL-C), using as cut-offs 1.03 mmol/L in men and 1.29 mmol/L in women, was observed in more than 25% apparently healthy adults (n = 541) in a cross-sectional study on nutrition transition and cardiometabolic risk factors (CMRF) in Benin, West Africa. Both overweight/obesity (35.3%) and underweight (11.3%) were present, displaying the double burden of malnutrition. We examined in more depth the association of low HDL-C with nutrition and with other CMRF. Metabolic syndrome components were assessed, plus the ratio of total cholesterol (TC)/HDL-C and serum homocysteine. Insulin resistance was based on Homeostasis Model Assessment. We also measured BMI and body composition by bio-impedance. Dietary quality was appraised with two non-consecutive 24 h recalls. Low HDL-C was associated with much higher TC/HDL-C and more abdominal obesity in men and women and with more insulin resistance in women. The rate of low HDL-C was highest (41.9%) among the overweight/obese subjects (BMI ≥ 25), but it also reached 31.1% among the underweight (BMI < 18.5), compared with 17.3% among normal-weight subjects (p < 0.001). Lower dietary micronutrient adequacy, in particular, in vitamins A, B3, B12, zinc and calcium, was associated with low HDL-C when controlling for several confounders. This suggests that at-risk lipoprotein cholesterol may be associated with either underweight or overweight/obesity and with poor micronutrient intake. |
| doi_str_mv | 10.3390/nu5041366 |
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The Benin study</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Delisle, Hélène ; Ntandou, Gervais ; Sodjinou, Roger ; Couillard, Charles ; Després, Jean-Pierre</creator><creatorcontrib>Delisle, Hélène ; Ntandou, Gervais ; Sodjinou, Roger ; Couillard, Charles ; Després, Jean-Pierre</creatorcontrib><description>Low HDL-cholesterol (HDL-C), using as cut-offs 1.03 mmol/L in men and 1.29 mmol/L in women, was observed in more than 25% apparently healthy adults (n = 541) in a cross-sectional study on nutrition transition and cardiometabolic risk factors (CMRF) in Benin, West Africa. Both overweight/obesity (35.3%) and underweight (11.3%) were present, displaying the double burden of malnutrition. We examined in more depth the association of low HDL-C with nutrition and with other CMRF. Metabolic syndrome components were assessed, plus the ratio of total cholesterol (TC)/HDL-C and serum homocysteine. Insulin resistance was based on Homeostasis Model Assessment. We also measured BMI and body composition by bio-impedance. Dietary quality was appraised with two non-consecutive 24 h recalls. Low HDL-C was associated with much higher TC/HDL-C and more abdominal obesity in men and women and with more insulin resistance in women. The rate of low HDL-C was highest (41.9%) among the overweight/obese subjects (BMI ≥ 25), but it also reached 31.1% among the underweight (BMI < 18.5), compared with 17.3% among normal-weight subjects (p < 0.001). Lower dietary micronutrient adequacy, in particular, in vitamins A, B3, B12, zinc and calcium, was associated with low HDL-C when controlling for several confounders. This suggests that at-risk lipoprotein cholesterol may be associated with either underweight or overweight/obesity and with poor micronutrient intake.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu5041366</identifier><identifier>PMID: 23603997</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; adults ; African Continental Ancestry Group ; Benin ; Benin - epidemiology ; Biomarkers - blood ; blood serum ; body composition ; Body Mass Index ; calcium ; Chi-Square Distribution ; Cholesterol ; Cholesterol, HDL - blood ; Cross-Sectional Studies ; Developing countries ; Diet - adverse effects ; Dyslipidemias - blood ; Dyslipidemias - ethnology ; Dyslipidemias - physiopathology ; Female ; Health care ; High density lipoprotein ; high density lipoprotein cholesterol ; homeostasis ; homocysteine ; Homocysteine - blood ; Humans ; Insulin resistance ; Insulin Resistance - ethnology ; LDCs ; Life Style ; Linear Models ; Male ; Malnutrition ; men ; Metabolic disorders ; Metabolic syndrome ; Micronutrients - administration & dosage ; Middle Aged ; Multivariate Analysis ; Nutrition research ; nutritional adequacy ; Nutritional Status - ethnology ; Obesity ; Obesity, Abdominal - blood ; Obesity, Abdominal - ethnology ; Obesity, Abdominal - physiopathology ; Odds Ratio ; Overweight ; Risk Assessment ; Risk Factors ; Socioeconomic Factors ; Thinness - blood ; Thinness - ethnology ; Thinness - physiopathology ; underweight ; vitamin A ; Women ; zinc</subject><ispartof>Nutrients, 2013-04, Vol.5 (4), p.1366-1383</ispartof><rights>Copyright MDPI AG 2013</rights><rights>2013 by the authors; licensee MDPI, Basel, Switzerland. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-e31a10677467642266c75f63507bb4a384f22e9b6b38d9add74106ef46c6841d3</citedby><cites>FETCH-LOGICAL-c436t-e31a10677467642266c75f63507bb4a384f22e9b6b38d9add74106ef46c6841d3</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/PMC3705353/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705353/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23603997$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Delisle, Hélène</creatorcontrib><creatorcontrib>Ntandou, Gervais</creatorcontrib><creatorcontrib>Sodjinou, Roger</creatorcontrib><creatorcontrib>Couillard, Charles</creatorcontrib><creatorcontrib>Després, Jean-Pierre</creatorcontrib><title>At-risk serum cholesterol profile at both ends of the nutrition spectrum in West African adults? The Benin study</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Low HDL-cholesterol (HDL-C), using as cut-offs 1.03 mmol/L in men and 1.29 mmol/L in women, was observed in more than 25% apparently healthy adults (n = 541) in a cross-sectional study on nutrition transition and cardiometabolic risk factors (CMRF) in Benin, West Africa. Both overweight/obesity (35.3%) and underweight (11.3%) were present, displaying the double burden of malnutrition. We examined in more depth the association of low HDL-C with nutrition and with other CMRF. Metabolic syndrome components were assessed, plus the ratio of total cholesterol (TC)/HDL-C and serum homocysteine. Insulin resistance was based on Homeostasis Model Assessment. We also measured BMI and body composition by bio-impedance. Dietary quality was appraised with two non-consecutive 24 h recalls. Low HDL-C was associated with much higher TC/HDL-C and more abdominal obesity in men and women and with more insulin resistance in women. The rate of low HDL-C was highest (41.9%) among the overweight/obese subjects (BMI ≥ 25), but it also reached 31.1% among the underweight (BMI < 18.5), compared with 17.3% among normal-weight subjects (p < 0.001). Lower dietary micronutrient adequacy, in particular, in vitamins A, B3, B12, zinc and calcium, was associated with low HDL-C when controlling for several confounders. This suggests that at-risk lipoprotein cholesterol may be associated with either underweight or overweight/obesity and with poor micronutrient intake.</description><subject>Adult</subject><subject>adults</subject><subject>African Continental Ancestry Group</subject><subject>Benin</subject><subject>Benin - epidemiology</subject><subject>Biomarkers - blood</subject><subject>blood serum</subject><subject>body composition</subject><subject>Body Mass Index</subject><subject>calcium</subject><subject>Chi-Square Distribution</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cross-Sectional Studies</subject><subject>Developing countries</subject><subject>Diet - adverse effects</subject><subject>Dyslipidemias - blood</subject><subject>Dyslipidemias - ethnology</subject><subject>Dyslipidemias - physiopathology</subject><subject>Female</subject><subject>Health care</subject><subject>High density lipoprotein</subject><subject>high density lipoprotein cholesterol</subject><subject>homeostasis</subject><subject>homocysteine</subject><subject>Homocysteine - blood</subject><subject>Humans</subject><subject>Insulin resistance</subject><subject>Insulin Resistance - ethnology</subject><subject>LDCs</subject><subject>Life Style</subject><subject>Linear Models</subject><subject>Male</subject><subject>Malnutrition</subject><subject>men</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Micronutrients - administration & dosage</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Nutrition research</subject><subject>nutritional adequacy</subject><subject>Nutritional Status - ethnology</subject><subject>Obesity</subject><subject>Obesity, Abdominal - blood</subject><subject>Obesity, Abdominal - ethnology</subject><subject>Obesity, Abdominal - physiopathology</subject><subject>Odds Ratio</subject><subject>Overweight</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Socioeconomic Factors</subject><subject>Thinness - blood</subject><subject>Thinness - ethnology</subject><subject>Thinness - physiopathology</subject><subject>underweight</subject><subject>vitamin A</subject><subject>Women</subject><subject>zinc</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkc9LHTEQx0OpqFgP_gMl0Et72DbJZJPdS-VV7A8QvCgeQzab9cXuS7b5UfC_Nw_1ob10cpjAfObLzHwROqHkM0BPvvjSEk5BiDfokBHJGiE4vH3xP0DHKd2RbUgiBeyjAwaCQN_LQ7SschNd-o2TjWWDzTrMNmUbw4yXGCY3W6wzHkJeY-vHhMOE89piX3J02QWP02JN3rY6j29qK15N0RntsR7LnNMpvqr4N-trOeUy3r9De5Oekz1-ykfo-vv51dnP5uLyx6-z1UVjOIjcWKCaEiElF1JwxoQwsp0EtEQOA9fQ8Ykx2w9igG7s9ThKXnE7cWFEx-kIR-jro-5Sho0djfU56lkt0W10vFdBO_W64t1a3Ya_CiRpoYUq8PFJIIY_pW6mNi4ZO8_a21CSYkzSjvb1_RelAF09d09YRT_8g96FEn29hKItSEoIa_tKfXqkTAwpRTvt5qZEbV1XO9cr-_7lojvy2WN4ACyqpvY</recordid><startdate>20130419</startdate><enddate>20130419</enddate><creator>Delisle, Hélène</creator><creator>Ntandou, Gervais</creator><creator>Sodjinou, Roger</creator><creator>Couillard, Charles</creator><creator>Després, Jean-Pierre</creator><general>MDPI AG</general><general>MDPI</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>7TS</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>PRINS</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20130419</creationdate><title>At-risk serum cholesterol profile at both ends of the nutrition spectrum in West African adults? The Benin study</title><author>Delisle, Hélène ; Ntandou, Gervais ; Sodjinou, Roger ; Couillard, Charles ; Després, Jean-Pierre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-e31a10677467642266c75f63507bb4a384f22e9b6b38d9add74106ef46c6841d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>adults</topic><topic>African Continental Ancestry Group</topic><topic>Benin</topic><topic>Benin - epidemiology</topic><topic>Biomarkers - blood</topic><topic>blood serum</topic><topic>body composition</topic><topic>Body Mass Index</topic><topic>calcium</topic><topic>Chi-Square Distribution</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Cross-Sectional Studies</topic><topic>Developing countries</topic><topic>Diet - adverse effects</topic><topic>Dyslipidemias - blood</topic><topic>Dyslipidemias - ethnology</topic><topic>Dyslipidemias - physiopathology</topic><topic>Female</topic><topic>Health care</topic><topic>High density lipoprotein</topic><topic>high density lipoprotein cholesterol</topic><topic>homeostasis</topic><topic>homocysteine</topic><topic>Homocysteine - blood</topic><topic>Humans</topic><topic>Insulin resistance</topic><topic>Insulin Resistance - ethnology</topic><topic>LDCs</topic><topic>Life Style</topic><topic>Linear Models</topic><topic>Male</topic><topic>Malnutrition</topic><topic>men</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Micronutrients - administration & dosage</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Nutrition research</topic><topic>nutritional adequacy</topic><topic>Nutritional Status - ethnology</topic><topic>Obesity</topic><topic>Obesity, Abdominal - blood</topic><topic>Obesity, Abdominal - ethnology</topic><topic>Obesity, Abdominal - physiopathology</topic><topic>Odds Ratio</topic><topic>Overweight</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Socioeconomic Factors</topic><topic>Thinness - blood</topic><topic>Thinness - ethnology</topic><topic>Thinness - physiopathology</topic><topic>underweight</topic><topic>vitamin A</topic><topic>Women</topic><topic>zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Delisle, Hélène</creatorcontrib><creatorcontrib>Ntandou, Gervais</creatorcontrib><creatorcontrib>Sodjinou, Roger</creatorcontrib><creatorcontrib>Couillard, Charles</creatorcontrib><creatorcontrib>Després, Jean-Pierre</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>Physical Education Index</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 Edition)</collection><collection>ProQuest Central UK/Ireland</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>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Delisle, Hélène</au><au>Ntandou, Gervais</au><au>Sodjinou, Roger</au><au>Couillard, Charles</au><au>Després, Jean-Pierre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>At-risk serum cholesterol profile at both ends of the nutrition spectrum in West African adults? The Benin study</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2013-04-19</date><risdate>2013</risdate><volume>5</volume><issue>4</issue><spage>1366</spage><epage>1383</epage><pages>1366-1383</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Low HDL-cholesterol (HDL-C), using as cut-offs 1.03 mmol/L in men and 1.29 mmol/L in women, was observed in more than 25% apparently healthy adults (n = 541) in a cross-sectional study on nutrition transition and cardiometabolic risk factors (CMRF) in Benin, West Africa. Both overweight/obesity (35.3%) and underweight (11.3%) were present, displaying the double burden of malnutrition. We examined in more depth the association of low HDL-C with nutrition and with other CMRF. Metabolic syndrome components were assessed, plus the ratio of total cholesterol (TC)/HDL-C and serum homocysteine. Insulin resistance was based on Homeostasis Model Assessment. We also measured BMI and body composition by bio-impedance. Dietary quality was appraised with two non-consecutive 24 h recalls. Low HDL-C was associated with much higher TC/HDL-C and more abdominal obesity in men and women and with more insulin resistance in women. The rate of low HDL-C was highest (41.9%) among the overweight/obese subjects (BMI ≥ 25), but it also reached 31.1% among the underweight (BMI < 18.5), compared with 17.3% among normal-weight subjects (p < 0.001). Lower dietary micronutrient adequacy, in particular, in vitamins A, B3, B12, zinc and calcium, was associated with low HDL-C when controlling for several confounders. This suggests that at-risk lipoprotein cholesterol may be associated with either underweight or overweight/obesity and with poor micronutrient intake.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>23603997</pmid><doi>10.3390/nu5041366</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult adults African Continental Ancestry Group Benin Benin - epidemiology Biomarkers - blood blood serum body composition Body Mass Index calcium Chi-Square Distribution Cholesterol Cholesterol, HDL - blood Cross-Sectional Studies Developing countries Diet - adverse effects Dyslipidemias - blood Dyslipidemias - ethnology Dyslipidemias - physiopathology Female Health care High density lipoprotein high density lipoprotein cholesterol homeostasis homocysteine Homocysteine - blood Humans Insulin resistance Insulin Resistance - ethnology LDCs Life Style Linear Models Male Malnutrition men Metabolic disorders Metabolic syndrome Micronutrients - administration & dosage Middle Aged Multivariate Analysis Nutrition research nutritional adequacy Nutritional Status - ethnology Obesity Obesity, Abdominal - blood Obesity, Abdominal - ethnology Obesity, Abdominal - physiopathology Odds Ratio Overweight Risk Assessment Risk Factors Socioeconomic Factors Thinness - blood Thinness - ethnology Thinness - physiopathology underweight vitamin A Women zinc |
| title | At-risk serum cholesterol profile at both ends of the nutrition spectrum in West African adults? The Benin study |
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