Comparison of Cardiovascular Risk Factors among Somalis Living in Norway and Somaliland
Objective: We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland. Method: We included participants (20–69 years) from two cross-sectional studies among Somalis living in Oslo (n = 212) and Hargeisa (n...
Saved in:
Published in | International journal of environmental research and public health Vol. 16; no. 13; p. 2353 |
---|---|
Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
03.07.2019
MDPI |
Subjects | |
Online Access | Get full text |
ISSN | 1660-4601 1661-7827 1660-4601 |
DOI | 10.3390/ijerph16132353 |
Cover
Abstract | Objective: We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland. Method: We included participants (20–69 years) from two cross-sectional studies among Somalis living in Oslo (n = 212) and Hargeisa (n = 1098). Demographic data, history of CVD, smoking, alcohol consumption, anthropometric measures, blood pressure, fasting serum glucose, and lipid profiles were collected. The predicted 10-year risk of CVD was calculated using Framingham risk score models. Results: In women, systolic and diastolic blood pressure were significantly higher in Hargeisa compared to Oslo (p < 0.001), whereas no significant differences were seen in men. The ratio of total cholesterol to high-density lipoprotein (HDL) cholesterol was significantly higher in Hargeisa compared to Oslo among both men (4.4 versus 3.9, p = 0.001) and women (4.1 versus 3.3, p < 0.001). Compared to women, men had higher Framingham risk scores, but there were no significant differences in Framingham risk scores between Somalis in Oslo and Hargeisa. Conclusion: In spite of the high body mass index (BMI) in Oslo, most CVD risk factors were higher among Somali women living in Hargeisa compared to those in Oslo, with similar patterns suggested in men. However, the predicted CVD risks based on Framingham models were not different between the locations. |
---|---|
AbstractList | Somaliland Study Due to the lack of data on the prevalence of risk factors in the population under study, the sample size was calculated using the diabetes prevalence of 4% [23]. Interviewer-administered questionnaires were used to collect information on years of education, occupation, marital status, personal medical history, medication use, smoking habits, and alcohol consumption. Blood Sampling and Laboratory Assays Fasting venous blood samples were collected from participants to determine the concentrations of serum glucose and lipids (fasting serum glucose (FSG), total cholesterol (TC), high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides (TG)). Hypertension was defined as systolic blood pressure (SBP) of ≥140 mmHg and/or diastolic blood pressure (DBP) of ≥90 mmHg and/or being on blood-pressure-lowering medication [7]. We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland. We included participants (20-69 years) from two cross-sectional studies among Somalis living in Oslo ( = 212) and Hargeisa ( = 1098). Demographic data, history of CVD, smoking, alcohol consumption, anthropometric measures, blood pressure, fasting serum glucose, and lipid profiles were collected. The predicted 10-year risk of CVD was calculated using Framingham risk score models. In women, systolic and diastolic blood pressure were significantly higher in Hargeisa compared to Oslo ( < 0.001), whereas no significant differences were seen in men. The ratio of total cholesterol to high-density lipoprotein (HDL) cholesterol was significantly higher in Hargeisa compared to Oslo among both men (4.4 versus 3.9, = 0.001) and women (4.1 versus 3.3, < 0.001). Compared to women, men had higher Framingham risk scores, but there were no significant differences in Framingham risk scores between Somalis in Oslo and Hargeisa. In spite of the high body mass index (BMI) in Oslo, most CVD risk factors were higher among Somali women living in Hargeisa compared to those in Oslo, with similar patterns suggested in men. However, the predicted CVD risks based on Framingham models were not different between the locations. Objective: We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland. Method: We included participants (20–69 years) from two cross-sectional studies among Somalis living in Oslo ( n = 212) and Hargeisa ( n = 1098). Demographic data, history of CVD, smoking, alcohol consumption, anthropometric measures, blood pressure, fasting serum glucose, and lipid profiles were collected. The predicted 10-year risk of CVD was calculated using Framingham risk score models. Results: In women, systolic and diastolic blood pressure were significantly higher in Hargeisa compared to Oslo ( p < 0.001), whereas no significant differences were seen in men. The ratio of total cholesterol to high-density lipoprotein (HDL) cholesterol was significantly higher in Hargeisa compared to Oslo among both men (4.4 versus 3.9, p = 0.001) and women (4.1 versus 3.3, p < 0.001). Compared to women, men had higher Framingham risk scores, but there were no significant differences in Framingham risk scores between Somalis in Oslo and Hargeisa. Conclusion: In spite of the high body mass index (BMI) in Oslo, most CVD risk factors were higher among Somali women living in Hargeisa compared to those in Oslo, with similar patterns suggested in men. However, the predicted CVD risks based on Framingham models were not different between the locations. We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland.OBJECTIVEWe aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland.We included participants (20-69 years) from two cross-sectional studies among Somalis living in Oslo (n = 212) and Hargeisa (n = 1098). Demographic data, history of CVD, smoking, alcohol consumption, anthropometric measures, blood pressure, fasting serum glucose, and lipid profiles were collected. The predicted 10-year risk of CVD was calculated using Framingham risk score models.METHODWe included participants (20-69 years) from two cross-sectional studies among Somalis living in Oslo (n = 212) and Hargeisa (n = 1098). Demographic data, history of CVD, smoking, alcohol consumption, anthropometric measures, blood pressure, fasting serum glucose, and lipid profiles were collected. The predicted 10-year risk of CVD was calculated using Framingham risk score models.In women, systolic and diastolic blood pressure were significantly higher in Hargeisa compared to Oslo (p < 0.001), whereas no significant differences were seen in men. The ratio of total cholesterol to high-density lipoprotein (HDL) cholesterol was significantly higher in Hargeisa compared to Oslo among both men (4.4 versus 3.9, p = 0.001) and women (4.1 versus 3.3, p < 0.001). Compared to women, men had higher Framingham risk scores, but there were no significant differences in Framingham risk scores between Somalis in Oslo and Hargeisa.RESULTSIn women, systolic and diastolic blood pressure were significantly higher in Hargeisa compared to Oslo (p < 0.001), whereas no significant differences were seen in men. The ratio of total cholesterol to high-density lipoprotein (HDL) cholesterol was significantly higher in Hargeisa compared to Oslo among both men (4.4 versus 3.9, p = 0.001) and women (4.1 versus 3.3, p < 0.001). Compared to women, men had higher Framingham risk scores, but there were no significant differences in Framingham risk scores between Somalis in Oslo and Hargeisa.In spite of the high body mass index (BMI) in Oslo, most CVD risk factors were higher among Somali women living in Hargeisa compared to those in Oslo, with similar patterns suggested in men. However, the predicted CVD risks based on Framingham models were not different between the locations.CONCLUSIONIn spite of the high body mass index (BMI) in Oslo, most CVD risk factors were higher among Somali women living in Hargeisa compared to those in Oslo, with similar patterns suggested in men. However, the predicted CVD risks based on Framingham models were not different between the locations. Objective: We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland. Method: We included participants (20–69 years) from two cross-sectional studies among Somalis living in Oslo (n = 212) and Hargeisa (n = 1098). Demographic data, history of CVD, smoking, alcohol consumption, anthropometric measures, blood pressure, fasting serum glucose, and lipid profiles were collected. The predicted 10-year risk of CVD was calculated using Framingham risk score models. Results: In women, systolic and diastolic blood pressure were significantly higher in Hargeisa compared to Oslo (p < 0.001), whereas no significant differences were seen in men. The ratio of total cholesterol to high-density lipoprotein (HDL) cholesterol was significantly higher in Hargeisa compared to Oslo among both men (4.4 versus 3.9, p = 0.001) and women (4.1 versus 3.3, p < 0.001). Compared to women, men had higher Framingham risk scores, but there were no significant differences in Framingham risk scores between Somalis in Oslo and Hargeisa. Conclusion: In spite of the high body mass index (BMI) in Oslo, most CVD risk factors were higher among Somali women living in Hargeisa compared to those in Oslo, with similar patterns suggested in men. However, the predicted CVD risks based on Framingham models were not different between the locations. |
Author | Madar, Ahmed A. Stigum, Hein Bjertness, Espen Meyer, Haakon E. Ahmed, Soheir H. Marjerrison, Niki Kjøllesdal, Marte Karoline Råberg Htet, Aung Soe |
AuthorAffiliation | 3 Health Services Research, Norwegian Institute of Public Health, 0213 Oslo, Norway 2 College of Medicine & Health Science, University of Hargeisa, 002563 Hargeisa, Somaliland 4 International Relations Division, Ministry of Health and Sports, Nay Pyi, Taw 15011, Myanmar 5 Division of Mental and Physical Health, Norwegian Institute of Public Health, 0473 Oslo, Norway 1 Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, 0318 Oslo, Norway |
AuthorAffiliation_xml | – name: 4 International Relations Division, Ministry of Health and Sports, Nay Pyi, Taw 15011, Myanmar – name: 3 Health Services Research, Norwegian Institute of Public Health, 0213 Oslo, Norway – name: 5 Division of Mental and Physical Health, Norwegian Institute of Public Health, 0473 Oslo, Norway – name: 2 College of Medicine & Health Science, University of Hargeisa, 002563 Hargeisa, Somaliland – name: 1 Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, 0318 Oslo, Norway |
Author_xml | – sequence: 1 givenname: Soheir H. surname: Ahmed fullname: Ahmed, Soheir H. – sequence: 2 givenname: Niki surname: Marjerrison fullname: Marjerrison, Niki – sequence: 3 givenname: Marte Karoline Råberg surname: Kjøllesdal fullname: Kjøllesdal, Marte Karoline Råberg – sequence: 4 givenname: Hein surname: Stigum fullname: Stigum, Hein – sequence: 5 givenname: Aung Soe surname: Htet fullname: Htet, Aung Soe – sequence: 6 givenname: Espen orcidid: 0000-0002-5220-2355 surname: Bjertness fullname: Bjertness, Espen – sequence: 7 givenname: Haakon E. surname: Meyer fullname: Meyer, Haakon E. – sequence: 8 givenname: Ahmed A. surname: Madar fullname: Madar, Ahmed A. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31277276$$D View this record in MEDLINE/PubMed |
BookMark | eNp1UctqHDEQFMEmfiTXHBNBLr6so_fjEghL7ASWBPIgR9Ezo7W1mZE20swa_721eNfYhpzUoquqq7tO0EFM0SP0hpJzzi35EFY-r6-popxxyV-gY6oUmQlF6MGj-gidlLIihBuh7Et0xCnTmml1jP7M07CGHEqKOC3xHHIX0gZKO_WQ8Y9Q_uILaMeUC4YhxSv8Mw3Qh4IXYRPqN0T8LeUbuMUQu12zr-UrdLiEvvjXu_cU_b74_Gv-Zbb4fvl1_mkxa4Vg40xZoY2QnLSWt41ljZFWgbHegqWWck8a8NBR8J2xpNGSCe6NJNoyC03D-Cn6eK-7nprBd62PY4berXMYIN-6BME97cRw7a7SxiklieW6Cry7F2jrEcYQXUwZHCVGMqeF0rYiznYjcvo3-TK6IZTW93VNn6biGJOcGWvl1s37Z9BVmnKsB3CMMyu4oWKLevvY84PZfSoVIPaeUinZL10bRhhD2q4Q-urObcN3T8OvtPNntL3yfwh3pqqwyw |
CitedBy_id | crossref_primary_10_1007_s10389_020_01266_3 crossref_primary_10_3389_fpubh_2021_725009 crossref_primary_10_5812_intjcardiovascpract_145277 crossref_primary_10_1155_2021_8862762 crossref_primary_10_1016_j_cegh_2023_101384 crossref_primary_10_1016_j_cpcardiol_2024_102861 crossref_primary_10_1016_j_cpcardiol_2025_102994 crossref_primary_10_1111_cdoe_12990 |
Cites_doi | 10.1007/s11739-016-1423-9 10.1161/01.ATV.12.8.911 10.1161/CIRCOUTCOMES.108.831073 10.1016/j.ahj.2007.02.027 10.1038/nrcardio.2017.19 10.1186/1471-2458-10-654 10.2147/VHRM.S44569 10.1186/s12889-015-2412-z 10.1097/01.hjr.0000214616.14361.51 10.1186/1475-9276-3-3 10.1080/01621459.1949.10483314 10.1155/2018/4539171 10.1136/heartjnl-2012-302168 10.1177/1010539513485973 10.1186/s12889-017-4318-4 10.1093/ije/dyr050 10.1155/2016/5423405 10.1111/j.1742-1241.2007.01336.x 10.1097/HJR.0b013e3283294b07 10.1186/1471-2458-9-465 10.1177/1010539511423958 10.1093/heapro/das038 10.4103/1995-705X.185130 10.1001/jama.286.2.180 |
ContentType | Journal Article |
Copyright | 2019. This work is licensed under https://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. info:eu-repo/semantics/openAccess 2019 by the authors. 2019 |
Copyright_xml | – notice: 2019. This work is licensed under https://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. – notice: info:eu-repo/semantics/openAccess – notice: 2019 by the authors. 2019 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88E 8C1 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 3HK 5PM |
DOI | 10.3390/ijerph16132353 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Public Health Database Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni Edition) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni Edition) Medical Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic NORA - Norwegian Open Research Archives PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Public Health ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | Publicly Available Content Database MEDLINE MEDLINE - Academic CrossRef |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Public Health |
EISSN | 1660-4601 |
ExternalDocumentID | PMC6650937 10852_74679 31277276 10_3390_ijerph16132353 |
Genre | Research Support, Non-U.S. Gov't Journal Article Comparative Study |
GeographicLocations | Somalia Norway Somaliland Horn of Africa Africa |
GeographicLocations_xml | – name: Somalia – name: Norway – name: Somaliland – name: Horn of Africa – name: Africa |
GroupedDBID | --- 29J 2WC 53G 5GY 5VS 7X7 7XC 88E 8C1 8FE 8FG 8FH 8FI 8FJ 8R4 8R5 A8Z AADQD AAFWJ AAHBH AAYXX ABGAM ABUWG ACGFO ACGOD ACIWK ADBBV AENEX AFKRA AFRAH AFZYC AHMBA ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV BENPR BPHCQ BVXVI CCPQU CITATION CS3 DIK DU5 E3Z EBD EBS EJD EMB EMOBN F5P FYUFA GX1 HH5 HMCUK HYE KQ8 L6V M1P M48 MODMG O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO Q2X RNS RPM SV3 TR2 UKHRP XSB 3V. ABJCF ATCPS AZQEC BHPHI CGR CUY CVF ECM EIF GROUPED_DOAJ HCIFZ IAO M2P M7S M~E NPM PATMY PYCSY 7XB 8FK DWQXO K9. PJZUB PKEHL PPXIY PQEST PQUKI PRINS 7X8 ESTFP PUEGO 2XV 3HK 88I AAPBV ABQIS ADRAZ AFPKN BGLVJ C1A DKF GNUQQ IEP IPNFZ ITC N95 PTHSS RIG 5PM |
ID | FETCH-LOGICAL-c442t-694784530c93cb92b8596a89e9a91913e0baead1aed890b75243e8507929abb23 |
IEDL.DBID | M48 |
ISSN | 1660-4601 1661-7827 |
IngestDate | Thu Aug 21 18:36:43 EDT 2025 Sat Apr 29 05:44:01 EDT 2023 Sun Sep 28 11:22:02 EDT 2025 Fri Jul 25 20:06:11 EDT 2025 Wed Feb 19 02:30:51 EST 2025 Tue Jul 01 04:03:55 EDT 2025 Thu Apr 24 22:58:22 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 13 |
Keywords | Somalis cardiovascular disease risk factors comparison Framingham risk score |
Language | English |
License | https://creativecommons.org/licenses/by/4.0 Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c442t-694784530c93cb92b8596a89e9a91913e0baead1aed890b75243e8507929abb23 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 These authors contributed equally to this work. |
ORCID | 0000-0002-5220-2355 |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.3390/ijerph16132353 |
PMID | 31277276 |
PQID | 2329438142 |
PQPubID | 54923 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_6650937 cristin_nora_10852_74679 proquest_miscellaneous_2253289952 proquest_journals_2329438142 pubmed_primary_31277276 crossref_citationtrail_10_3390_ijerph16132353 crossref_primary_10_3390_ijerph16132353 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019-07-03 |
PublicationDateYYYYMMDD | 2019-07-03 |
PublicationDate_xml | – month: 07 year: 2019 text: 2019-07-03 day: 03 |
PublicationDecade | 2010 |
PublicationPlace | Switzerland |
PublicationPlace_xml | – name: Switzerland – name: Basel |
PublicationTitle | International journal of environmental research and public health |
PublicationTitleAlternate | Int J Environ Res Public Health |
PublicationYear | 2019 |
Publisher | MDPI AG MDPI |
Publisher_xml | – name: MDPI AG – name: MDPI |
References | Eichler (ref_16) 2007; 153 ref_13 ref_35 Bays (ref_36) 2007; 61 Mensink (ref_33) 1992; 12 Sogaard (ref_40) 2004; 3 ref_10 ref_31 Takahashi (ref_26) 2013; 9 ref_30 Schofield (ref_17) 2012; 98 Scott (ref_5) 2013; 28 Tennakoon (ref_32) 2015; 27 ref_39 Kumar (ref_11) 2009; 16 Cappuccio (ref_37) 2016; 11 Tennakoon (ref_38) 2013; 25 Glenday (ref_12) 2006; 13 Keates (ref_3) 2017; 14 Vasan (ref_15) 2008; 117 Hurley (ref_19) 2010; 3 Brindle (ref_18) 2005; 55 ref_25 ref_23 ref_22 ref_21 ref_20 Hajar (ref_34) 2016; 17 ref_2 ref_29 ref_28 ref_27 Dalal (ref_1) 2011; 40 ref_9 ref_8 Grundy (ref_14) 2001; 286 Kish (ref_24) 1949; 44 ref_4 ref_7 ref_6 |
References_xml | – ident: ref_7 – ident: ref_28 – volume: 11 start-page: 299 year: 2016 ident: ref_37 article-title: Cardiovascular disease and hypertension in sub-Saharan Africa: Burden, risk and interventions publication-title: Intern. Emerg. Med. doi: 10.1007/s11739-016-1423-9 – ident: ref_9 – ident: ref_30 – volume: 12 start-page: 911 year: 1992 ident: ref_33 article-title: Effect of dietary fatty acids on serum lipids and lipoproteins. A meta-analysis of 27 trials publication-title: Arterioscler. Thromb. doi: 10.1161/01.ATV.12.8.911 – volume: 3 start-page: 181 year: 2010 ident: ref_19 article-title: Prediction of cardiovascular death in racial/ethnic minorities using Framingham risk factors publication-title: Circ. Cardiovasc. Qual. Outcomes doi: 10.1161/CIRCOUTCOMES.108.831073 – volume: 55 start-page: 838 year: 2005 ident: ref_18 article-title: The accuracy of the Framingham risk-score in different socioeconomic groups: A prospective study publication-title: Br. J. Gen. Pract. – volume: 153 start-page: 722 year: 2007 ident: ref_16 article-title: Prediction of first coronary events with the Framingham score: A systematic review publication-title: Am. Heart J. doi: 10.1016/j.ahj.2007.02.027 – ident: ref_39 – volume: 14 start-page: 273 year: 2017 ident: ref_3 article-title: Cardiovascular disease in Africa: Epidemiological profile and challenges publication-title: Nat. Rev. Cardiol. doi: 10.1038/nrcardio.2017.19 – ident: ref_31 doi: 10.1186/1471-2458-10-654 – volume: 9 start-page: 265 year: 2013 ident: ref_26 article-title: Validation of Omron RS8, RS6, and RS3 Home Blood Pressure Monitoring Devices, in Accordance with the European Society of Hypertension International Protocol Revision 2010 publication-title: Vasc. Health Risk Manag. doi: 10.2147/VHRM.S44569 – ident: ref_13 doi: 10.1186/s12889-015-2412-z – volume: 13 start-page: 348 year: 2006 ident: ref_12 article-title: Cardiovascular disease risk factors among five major ethnic groups in Oslo, Norway: The Oslo Immigrant Health Study publication-title: Eur. J. Cardiovasc. Prev. Rehabil. doi: 10.1097/01.hjr.0000214616.14361.51 – volume: 3 start-page: 3 year: 2004 ident: ref_40 article-title: The Oslo Health Study: The impact of self-selection in a large, population-based survey publication-title: Int. J. Equity Health doi: 10.1186/1475-9276-3-3 – ident: ref_23 – volume: 44 start-page: 380 year: 1949 ident: ref_24 article-title: A Procedure for Objective Respondent Selection within the Household publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1949.10483314 – ident: ref_21 – ident: ref_22 doi: 10.1155/2018/4539171 – volume: 98 start-page: 1373 year: 2012 ident: ref_17 article-title: Methods for assessing cardiovascular disease risk in a UK black population publication-title: Heart doi: 10.1136/heartjnl-2012-302168 – volume: 27 start-page: 616 year: 2015 ident: ref_32 article-title: Differences in selected lifestyle risk factors for cardiovascular disease between Sri Lankans in Oslo, Norway, and in Kandy, Sri Lanka publication-title: Asia Pac. J. Public Health doi: 10.1177/1010539513485973 – ident: ref_6 – ident: ref_20 doi: 10.1186/s12889-017-4318-4 – ident: ref_8 – ident: ref_25 – ident: ref_4 – volume: 40 start-page: 885 year: 2011 ident: ref_1 article-title: Non-communicable diseases in sub-Saharan Africa: What we know now publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyr050 – ident: ref_29 – ident: ref_27 – ident: ref_10 – ident: ref_35 doi: 10.1155/2016/5423405 – volume: 61 start-page: 737 year: 2007 ident: ref_36 article-title: The relationship of body mass index to diabetes mellitus, hypertension and dyslipidaemia: Comparison of data from two national surveys publication-title: Int. J. Clin. Pract. doi: 10.1111/j.1742-1241.2007.01336.x – volume: 16 start-page: 229 year: 2009 ident: ref_11 article-title: Ethnic differences in SCORE cardiovascular risk in Oslo, Norway publication-title: Eur. J. Cardiovasc. Prev. Rehabil. doi: 10.1097/HJR.0b013e3283294b07 – ident: ref_2 doi: 10.1186/1471-2458-9-465 – volume: 25 start-page: 452 year: 2013 ident: ref_38 article-title: Differences in predicted cardiovascular risk in Sinhalese and Tamils in Sri Lanka compared with Sri Lankans in Norway publication-title: Asia Pac. J. Public Health doi: 10.1177/1010539511423958 – volume: 28 start-page: 4 year: 2013 ident: ref_5 article-title: Obesity in sub-Saharan Africa: Development of an Ecological Theoretical Framework publication-title: Health Promot. Int. doi: 10.1093/heapro/das038 – volume: 117 start-page: 743 year: 2008 ident: ref_15 article-title: General Cardiovascular Risk Profile for Use in Primary Care publication-title: J. Am. Heart Assoc. – volume: 17 start-page: 78 year: 2016 ident: ref_34 article-title: Framingham Contribution to Cardiovascular Disease publication-title: Heart Views doi: 10.4103/1995-705X.185130 – volume: 286 start-page: 180 year: 2001 ident: ref_14 article-title: Validation of the framingham coronary heart disease prediction scores: Results of a multiple ethnic groups investigation publication-title: JAMA doi: 10.1001/jama.286.2.180 |
SSID | ssj0038469 |
Score | 2.255228 |
Snippet | Objective: We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and... We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and Somaliland. We... Somaliland Study Due to the lack of data on the prevalence of risk factors in the population under study, the sample size was calculated using the diabetes... We aimed to assess and compare cardiovascular disease (CVD) risk factors and predict the future risk of CVD among Somalis living in Norway and... |
SourceID | pubmedcentral cristin proquest pubmed crossref |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 2353 |
SubjectTerms | Adult African Continental Ancestry Group - statistics & numerical data Age Aged Alcohol Alcohol Drinking Blood Glucose Blood Pressure Body Mass Index Cardiovascular Diseases - epidemiology Cholesterol Cholesterol - blood Cross-Sectional Studies Data collection Diabetes Fasting Female Glucose Households Humans Hypertension Low density lipoprotein Male Medical laboratories Middle Aged Norway - epidemiology Obesity Risk Factors Smoking Smoking - epidemiology Somalia - epidemiology Studies Women Young Adult |
SummonAdditionalLinks | – databaseName: Public Health Database dbid: 8C1 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3daxQxEB-0IggifrarVSIIPoXeJtns5knk8CiifVCLfVuSTQ5Xa7a9u1L8753Zza1diz5nYJfMTOYjk98P4FXeVBhlfclzHbBA8UvNq5A7rhU6UzETxnvqQ3480ofH6v1JcZIabus0Vrk9E_uD2ncN9cgPMPIbgqNS4s3ZOSfWKLpdTRQaN-EWvQElC6_m44iHxNhK6W-OMYhjJCwH0EaJZf5B-z2siCUAizFJxMi3m96n4jQ8Xcs5_x6dvBKLFvfhXkoi2dtB6w_gRogP4e7QgWPDw6JH8HU-Ugyybsnmk8FT9qld_2CLgWyH9YxD7HP3k9AQ2YeWmgysjeyoW13aX8xGnxZpDPIxHC_efZkf8kSjwBulxIZro8pKFXLWGNk4I1xVGG0rE4w1WK3JMHMW7Sm3wVdm5spCKBkqzBMxc7LOCfkEdmIXwx4wpVxOTOpBYSHTeG-WfUGz1MGKPAiRwV7axzqiBRP6aCFqYjQxGfDtxtZNgh8nFoxTFKpJJfVUJRm8HuXPBuCNf0rub_VUJwdc13_MJYOX4zK6Dt2H2Bi6C5QRhaR6s0CZ3UGt46dkLrDuKHUG5UThowDBck9XYvuth-fWBEooy6f__61ncAdzL9NP_sp92NmsLsJzzG827kVvxL8Bhl34_g priority: 102 providerName: ProQuest |
Title | Comparison of Cardiovascular Risk Factors among Somalis Living in Norway and Somaliland |
URI | https://www.ncbi.nlm.nih.gov/pubmed/31277276 https://www.proquest.com/docview/2329438142 https://www.proquest.com/docview/2253289952 http://hdl.handle.net/10852/74679 https://pubmed.ncbi.nlm.nih.gov/PMC6650937 |
Volume | 16 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fa9RAEB5si1Io4q_a01pWEHyK3v5Ksg8ievRaxB5SPby3sJvs0dS6sdcr2v_emSQXjdYXXwJ3O-HCzgzzfZu5bwCe8TzFKlskEY89EpRiHkep5y6KFSaTHgpTFHQOeTSJD6fq3UzPfvU_tRt4cS21o3lS08XZix_nV68x4V8R40TK_rI89QtS_EdiJbVcgw2sSoIi_Eh1bxQk1lmCwhzrUYRVMWkEHK-5fxNuSS4QdJIMyc28TrXQr1p_QdE_Oyp_K1HjO3C7xZbsTRMMd-GGD_dgqzmYY83_je7D51E3eZBVczbq9aOy4_LiCxs3M3hYPYiIfay-kkgie1_S2QMrA5tUi-_2itlQtIvUHfkApuP9T6PDqJ2uEOVKiWUUG5WkSsthbmTujHCpNrFNjTfWIImTfugshhm3vkjN0CVaKOlThI8IqKxzQm7DeqiC3wGmlOM0YN0r5Dd5UZh5zXPmsbeCeyEGsNPuYxYwsEmUVIuMBp2YAUSrjc3yVpWchmOcoVFG3sn63hnA887-W6PH8U_L3ZWfslVYZYgfDYmaKXymp90yZhS9JrHBV5doI7QkGqrR5mHj1u6nVpExgKTn8M6A1Lr7K6E8qVW7Y9IqlMmj_77zMWwiWjN1r7DchfXl4tI_QUS0dHuwlswSvKYjTtfxwR5svN2ffDjGTwcz-g5T4SdzKg9F |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3bbtQwEB1VrRBICHFvoICRQDxZTWzn4ocKwdLVlm5XqLSib8GJvSJckrK7VdWf49uYyQ0Cgrc-e6REHo_PjD0-B-BZkCeIsjbmQeSwQLHziCcuyHikMJhCX2hr6RzyYBZNjtXbk_BkDX50b2GorbLbE-uN2lY5nZFvI_JroqNS4uXpd06qUXS72klomFZawe7UFGPtw459d3GOJdxyZ-8N-vu5EOPdo9GEtyoDPFdKrHikVZyoUPq5lnmmRZaEOjKJdtpoLGak8zOD0x0YZxPtZ3EolHQJplGYWJgsI-IDhIANTDskRtXG693Zu8MOCySiOyXgAaIgRyyOG9pIKbW_XXx2C9IpwHJQkjTzlbyO6nIIkH9lvX82b_6GhuObcKNNY9mrZt3dgjVX3obrzRkga5423YEPo17kkFVzNhq0vrLDYvmFjRu5H1ZrHrH31TfiY2TTgo45WFGyWbU4NxfMlLYdpEbMu3B8KVN8D9bLqnSbwJTKAtJydwpLqdxaPa9LqnnkjAicEB5stvOYlhhDxH8aipQ0VbQHvJvYNG8J0EmH4ysapeSSdOgSD1709qcN9cc_Lbc6P6XtFrBMfy1YD572wxi8dCNjSledoY0IJVW8Idrcb9zaf0oGAiufOPIgHji8NyBi8OFIWXyqCcIjokWU8YP__9YTuDo5Opim073Z_kO4hpmgrvuQ5RasrxZn7hFmW6vscbukGXy87Cj6CUZOO5E |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Zb9QwEB5VRSCkCnE3tICRQDxZm9iOEz9UCG1ZtbSsEFDRt5DDUcPhlN2tqv41fh0zuSAgeOuzR0o04_EcHn8fwNMgjzHKFhEPtMUCpSg1j22Qca3QmUJfmKKgPuSbud47Uq-Pw-M1-NG_haGxyv5MbA7qos6pRz7ByG8IjkqJSdmNRbzdnb04_c6JQYpuWns6jXaLHNiLcyzfljv7u2jrZ0LMXn2Y7vGOYYDnSokV10ZFsQqlnxuZZ0ZkcWh0GhtrUoOFjLR-lqKqg9QWsfGzKBRK2hhTKEwq0iwj0AM8_q9EMvJpnCyeDuMlEuM6pd4Bxj-OUThqASOlNP6k-mwXxFCAhaAkUuareePPbhwa_8p3_xzb_C0Ozm7CjS6BZS_bHXcL1qy7DRtt94-1j5ruwMfpQG_I6pJNR0Ov7F21_MJmLdEPa9iO2Pv6GyExssOKGhyscmxeL87TC5a6olukEcy7cHQpCr4H6652dhOYUllALO5WYRGVF4Upm2Kq1DYVgRXCg81Oj4lD7yHk01AkxKZiPOC9YpO8gz4nBo6vKJSQSZKxSTx4PsiftqAf_5Tc7u2UdM6_TH5tVQ-eDMvotnQXkzpbn6GMCCXVuiHK3G_NOnxKBgJrnkh7EI0MPggQJPh4xVUnDTS4JkBEGT34_289hmvoO8nh_vxgC65jCmiaAWS5DeurxZl9iGnWKnvU7GcGny7bgX4CQ5E4-A |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Comparison+of+Cardiovascular+Risk+Factors+among+Somalis+Living+in+Norway+and+Somaliland&rft.jtitle=International+journal+of+environmental+research+and+public+health&rft.au=Ahmed%2C+Soheir+H.&rft.au=Marjerrison%2C+Niki&rft.au=Kj%C3%B8llesdal%2C+Marte+Karoline+R%C3%A5berg&rft.au=Stigum%2C+Hein&rft.date=2019-07-03&rft.pub=MDPI&rft.issn=1661-7827&rft.eissn=1660-4601&rft.volume=16&rft.issue=13&rft_id=info:doi/10.3390%2Fijerph16132353&rft_id=info%3Apmid%2F31277276&rft.externalDocID=PMC6650937 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1660-4601&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1660-4601&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1660-4601&client=summon |