Hypertension determinants among Ghanaians differ according to location of residence: RODAM study.


Journal

Journal of hypertension
ISSN: 1473-5598
Titre abrégé: J Hypertens
Pays: Netherlands
ID NLM: 8306882

Informations de publication

Date de publication:
01 05 2022
Historique:
pubmed: 15 2 2022
medline: 6 5 2022
entrez: 14 2 2022
Statut: ppublish

Résumé

Hypertension prevalence is high among African migrants, but the determinants of hypertension in migrants in Europe in relation to the population in the country of origin still needs to be elucidated. Therefore, the aim of this study was to assess the determinants of hypertension in Ghanaians residing in Ghana and Europe. The current study used baseline data of 5659 participants, aged 25-70 years, of the Research on Obesity and Diabetes among African Migrants study. Multivariate logistic regression analysis was used to assess sociodemographic, lifestyle, psychosocial, anthropometric and health factors independently associated with hypertension in Ghanaians living in rural and urban Ghana, and Ghanaian migrants living in Europe. Across all sites, older age (both sexes; odds ratio 1.07, 95% confidence interval 1.06-1.08) and diabetes (females only; 2.02, 1.54-1.67) were independently associated with hypertension. The other determinants of hypertension differed between geographical locations. Higher waist circumference (1.12, 1.05-1.20) was independently associated with hypertension in rural-Ghanaian males, as was higher body mass index (1.15, 1.03- 1.28) in urban-Ghanaian males, higher waist circumference (1.04, 1.01-1.07) and diabetes (1.75, 1.17-2.63) in European-Ghanaian males. In European-Ghanaian females, high alcohol intake (1.88, 1.01 -3.53) and waist circumference (1.04, 1.02- 1.06) were associated with hypertension, whereas in rural-Ghanaian females, a higher educational level (0.28, 0.08-0.98) was inversely associated with hypertension. The current study identified several modifiable determinants of hypertension in Ghanaians, with differences between populations residing in various geographical locations. This highlights the importance of development and implementation of context-specific interventions targeting these determinants to reduce the burden of hypertension among Ghanaian migrants and nonmigrants.

Identifiants

pubmed: 35153282
doi: 10.1097/HJH.0000000000003108
pii: 00004872-202205000-00022
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1010-1018

Informations de copyright

Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.

Références

Collaboration NCDRF. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants. Lancet 2017; 389:37–55.
Gomez-Olive FX, Ali SA, Made F, Kyobutungi C, Nonterah E, Mickles-field L, et al. Regional and sex differences in the prevalence and awareness of hypertension: an H3Africa AWI-Gen Study across 6 sites in sub-Saharan Africa. Glob Heart 2017; 12:81–90.
Agyemang C, Nyaaba G, Beune E, Meeks K, Owusu-Dabo E, Addo J, et al. Variations in hypertension awareness, treatment, and control among Ghanaian migrants living in Amsterdam, Berlin, London, and nonmigrant Ghanaians living in rural and urban Ghana – the RODAM study. J Hypertens 2018; 36:169–177.
Agyemang C, Kunst A, Bhopal R, Zaninotto P, Unwin N, Nazroo J, et al. A cross-national comparative study of blood pressure and hypertension between English and Dutch South-Asian- and African-origin populations: the role of national context. Am J Hypertens 2010; 23:639–648.
Agyemang C, van Oeffelen AA, Norredam M, Kappelle LJ, Klijn CJ, Bots ML, et al. Ethnic disparities in ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage incidence in the Netherlands. Stroke 2014; 45:3236–3242.
O’Donnell MJ, Chin SL, Rangarajan S, Xavier D, Liu L, Zhang H, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet 2016; 388:761–775.
Agyemang C, Snijder MB, Adjei DN, van den Born BJ, Modesti PA, Peters RJ, et al. Ethnic disparities in CKD in the Netherlands: the healthy life in an urban setting (HELIUS) study. Am J Kidney Dis 2016; 67:391–399.
Tenkorang EY, Kuuire V, Luginaah I, Banchani E. Examining risk factors for hypertension in Ghana: evidence from the Study on Global Ageing and Adult Health. Glob Health Promot 2017; 24:14–26.
Sanuade OA, Boatemaa S, Kushitor MK. Hypertension prevalence, awareness, treatment and control in Ghanaian population: evidence from the Ghana demographic and health survey. PLoS One 2018; 13:e0205985.
Agyemang C, Nicolaou M, Boateng L, Dijkshoorn H, van de Born BJ, Stronks K. Prevalence, awareness, treatment, and control of hypertension among Ghanaian population in Amsterdam, The Netherlands: the GHAIA study. Eur J Prev Cardiol 2013; 20:938–946.
Commodore-Mensah Y, Ukonu N, Cooper LA, Agyemang C, Himmelfarb CD. The association between acculturation and cardiovascular disease risk in Ghanaian and Nigerian-born African Immigrants in the United States: The Afro-Cardiac Study. J Immigr Minor Health 2018; 20:1137–1146.
Saleh A, Amanatidis S, Samman S. Cross-sectional study of diet and risk factors for metabolic diseases in a Ghanaian population in Sydney, Australia. Asia Pac J Clin Nutr 2002; 11:210–216.
Cooper RS, Forrester TE, Plange-Rhule J, Bovet P, Lambert EV, Dugas LR, et al. Elevated hypertension risk for African-origin populations in biracial societies: modeling the Epidemiologic Transition Study. J Hypertens 2015; 33:473–480. discussion 480-1.
Agyemang C, Beune E, Meeks K, Owusu-Dabo E, Agyei-Baffour P, Aikins A, et al. Rationale and cross-sectional study design of the research on obesity and type 2 diabetes among African migrants: the RODAM study. BMJ Open 2014; 4:e004877.
Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health 2009; 6:790–804.
World Health Organization. Global Physical Activity Questionnaire 2002 (GPAQ) - Analysis Guide Geneva [Available at: https://www.who.int/ncds/surveillance/steps/resources/GPAQ_Analysis_Guide.pdf .
Galbete C, Nicolaou M, Meeks KA, de-Graft Aikins A, Addo J, Amoah SK, et al. Food consumption, nutrient intake, and dietary patterns in Ghanaian migrants in Europe and their compatriots in Ghana. Food Nutr Res 2017; 61:1341809.
Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J 2018; 39:3021–3104.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001; 16:606–613.
Rosengren A, Hawken S, Ounpuu S, Sliwa K, Zubaid M, Almahmeed WA, et al. Association of psychosocial risk factors with risk of acute myocardial infarction in 11119 cases and 13648 controls from 52 countries (the INTERHEART study): case-control study. Lancet 2004; 364:953–962.
WHO Collaborating Centre for Drug Statistics Methodology. Guidelines for ATC classiciation and DDD assignement, 2014. Oslo: WHO Collaborating Centre for Drug Statistics Methodology; 2013.
World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. Geneva: WHO; 2006.
van Ginkel JR, Linting M, Rippe RCA, van der Voort A. Rebutting existing misconceptions about multiple imputation as a method for handling missing data. J Pers Assess 2020; 102:297–308.
Van Buuren S. Groothuis-Oudshoorn K. mice: multivariate imputation by chained equations in R. J Stat Softw 2011; 45:1–67.
Moons KG, Donders RA, Stijnen T, Harrell FE Jr. Using the outcome for imputation of missing predictor values was preferred. J Clin Epidemiol 2006; 59:1092–1101.
Poulter NR, Khaw KT, Mugambi M, Peart WS, Rose G, Sever P. Blood pressure patterns in relation to age, weight and urinary electrolytes in three Kenyan communities. Trans R Soc Trop Med Hyg 1985; 79:389–392.
Cruickshank JK, Mbanya JC, Wilks R, Balkau B, Forrester T, Anderson SG, et al. Hypertension in four African-origin populations: current ‘Rule of Halves’, quality of blood pressure control and attributable risk of cardiovascular disease. J Hypertens 2001; 19:41–46.
Agyemang C, Kunst A, Bhopal R, Zaninotto P, Nazroo J, Nicolaou M, et al. Dutch versus English advantage in the epidemic of central and generalised obesity is not shared by ethnic minority groups: comparative secondary analysis of cross-sectional data. Int J Obes (Lond) 2011; 35:1334–1346.
Agyemang C, Kunst AE, Bhopal R, Anujuo K, Zaninotto P, Nazroo J, et al. Diabetes prevalence in populations of South Asian Indian and African origins: a comparison of England and the Netherlands. Epidemiology 2011; 22:563–567.
Agyemang C, Kunst AE, Bhopal R, Zaninotto P, Nazroo J, Unwin N, et al. A cross-national comparative study of metabolic syndrome among nondiabetic Dutch and English ethnic groups. Eur J Public Health 2013; 23:447–452.
Agyemang C, Kunst AE, Bhopal R, Zaninotto P, Unwin N, Nazroo J, et al. Hypertension in Dutch and English ethnic minorities. Blood pressure better controlled in English groups than in Dutch groups. Ned Tijdschr Geneeskd 2011; 155:A3318.
Agyemang C, Meeks K, Beune E, Owusu-Dabo E, Mockenhaupt FP, Addo J, et al. Obesity and type 2 diabetes in sub-Saharan Africans - is the burden in today's Africa similar to African migrants in Europe? The RODAM study. BMC Med 2016; 14:166.
Chilunga FP, Henneman P, Venema A, Meeks KA, Gonzalez JR, Ruiz-Arenas C, et al. DNA methylation as the link between migration and the major noncommunicable diseases: the RODAM study. Epigenomics 2021; 13:653–666.
Rosenthal T. The effect of migration on hypertension and other cardiovascular risk factors: a review. J Am Soc Hypertens 2014; 8:171–191.
Pisa PT, Micklesfield LK, Kagura J, Ramsay M, Crowther NJ, Norris SA. Different adiposity indices and their association with blood pressure and hypertension in middle-aged urban black South African men and women: findings from the AWI-GEN South African Soweto Site. BMC Public Health 2018; 18:524.
Landsberg L, Aronne LJ, Beilin LJ, Burke V, Igel LI, Lloyd-Jones D, et al. Obesity-related hypertension: pathogenesis, cardiovascular risk, and treatment: a position paper of The Obesity Society and the American Society of Hypertension. J Clin Hypertens (Greenwich) 2013; 15:14–33.
Ding J, Visser M, Kritchevsky SB, Nevitt M, Newman A, Sutton-Tyrrell K, et al. The association of regional fat depots with hypertension in older persons of white and African American ethnicity. Am J Hypertens 2004; 17:971–976.
Carvalho JJ, Baruzzi RG, Howard PF, Poulter N, Alpers MP, Franco LJ, et al. Blood pressure in four remote populations in the INTERSALT Study. Hypertension 1989; 14:238–246.
Franklin SS. Elderly hypertensives: how are they different? J Clin Hypertens (Greenwich) 2012; 14:779–786.
Lloyd-Jones DM, Liu K, Colangelo LA, Yan LL, Klein L, Loria CM, et al. Consistently stable or decreased body mass index in young adulthood and longitudinal changes in metabolic syndrome components: the Coronary Artery Risk Development in Young Adults Study. Circulation 2007; 115:1004–1011.
Ecker O, Fang P. 4. Economic development and nutrition transition in Ghana: taking stock of food consumption patterns and trends. Achieving a nutrition revolution for Africa: the road to healthier diets and optimal nutrition. ReSAKSS annual trends and outlook report. Washington, DC: International Food Policy Research Institute (IFPRI); 2016.
Beune EJ, Haafkens JA, Schuster JS, Bindels PJ. ‘Under pressure’: how Ghanaian, African-Surinamese and Dutch patients explain hypertension. J Hum Hypertens 2006; 20:946–955.
Hamer M. Psychosocial stress and cardiovascular disease risk: the role of physical activity. Psychosom Med 2012; 74:896–903.
Leng B, Jin Y, Li G, Chen L, Jin N. Socioeconomic status and hypertension: a meta-analysis. J Hypertens 2015; 33:221–229.
Schutte AE, Srinivasapura Venkateshmurthy N, Mohan S, Prabhakaran D. Hypertension in low- and middle-income countries. Circ Res 2021; 128:808–826.
Amegah AK, Nayha S. Educational attainment modifies the association of wealth status with elevated blood pressure in the Ghanaian population. Heliyon 2018; 4:e00711.
Sliwa K, Acquah L, Gersh BJ, Mocumbi AO. Impact of socioeconomic status, ethnicity, and urbanization on risk factor profiles of cardiovascular disease in Africa. Circulation 2016; 133:1199–1208.
Gradidge PJ, Norris SA, Munthali R, Crowther NJ. Influence of socioeconomic status on changes in body size and physical activity in ageing black South African women. Eur Rev Aging Phys Act 2018; 15:6.
Micklesfield LK, Munthali RJ, Prioreschi A, Said-Mohamed R, van Heerden A, Tollman S, et al. Understanding the relationship between socio-economic status, physical activity and sedentary behaviour, and adiposity in young adult South African women using structural equation modelling. Int J Environ Res Public Health 2017; 14:1271.
World Health Organization. Global action plan for the prevention and control of NCDs. Geneva: World Health Organization (WHO); 2013.
Rutter H, Savona N, Glonti K, Bibby J, Cummins S, Finegood DT, et al. The need for a complex systems model of evidence for public health. Lancet 2017; 390:2602–2604.
Diez Roux AV. Complex systems thinking and current impasses in health disparities research. Am J Public Health 2011; 101:1627–1634.
Iwelunmor J, Airhihenbuwa CO, Cooper R, Tayo B, Plange-Rhule J, Adanu R, et al. Prevalence, determinants and systems-thinking approaches to optimal hypertension control in West Africa. Global Health 2014; 10:42.

Auteurs

Eva L van der Linden (EL)

Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute.
Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.

Karlijn A C Meeks (KAC)

Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute.
Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.

Kerstin Klipstein-Grobusch (K)

Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Silver Bahendeka (S)

MKPGMS-Uganda Martyrs University, Kampala, Uganda.

Erik J A J Beune (EJAJ)

Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute.

Bert-Jan H van den Born (BH)

Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute.
Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.

Charles Agyemang (C)

Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH