General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

Data de publicação: 01/01/2024

Autores da FMUP

• 

  Altamiro Manuel Rodrigues Da Costa Pereira

  Autor

Participantes de fora da FMUP

• Zhou B.
• Bennett J.E.
• Wickham A.P.
• Singleton R.K.
• Mishra A.
• Carrillo-Larco R.M.
• Ikeda N.
• Jain L.
• Barradas-Pires A.
• Heap R.A.
• Lhoste V.P.
• Sheffer K.E.
• Phelps N.H.
• Rayner A.W.
• Gregg E.W.
• Woodward M.
• Stevens G.A.
• Iurilli M.L.
• Danaei G.
• Di Cesare M.
• Aguilar-Salinas C.A.
• Ahmad N.A.
• Bovet P.
• Chen Z.
• Damasceno A.
• Filippi S.L.
• Janszky I.
• Kengne A.P.
• Khang Y.-H.
• Khunti K.
• Laxmaiah A.
• Lim L.-L.
• Lissner L.
• Margozzini P.
• Mbanya J.C.N.
• McGarvey S.T.
• Shaw J.E.
• Söderberg S.
• Soto-Mota L.A.
• Wang J.
• Zaccardi F.
• Abarca-Gómez L.
• Abbasi-Kangevari M.
• Abdrakhmanova S.
• Abdul Ghaffar S.
• Abdul Rahim H.F.
• Abdurrahmonova Z.
• Abu-Rmeileh N.M.
• Acosta-Cazares B.
• Adam I.
• Adamczyk M.
• Aekplakorn W.
• Agdeppa I.A.
• Aghazadeh-Attari J.
• Agyemang C.
• Ahmad M.H.
• Ahmadi A.
• Ahmadi N.
• Ahmed S.H.
• Ahrens W.
• Aitmurzaeva G.
• Ajlouni K.
• Al-Hazzaa H.M.
• Al-Hinai H.
• Al-Lawati J.A.
• Al-Raddadi R.
• Al Asfoor D.
• Al Hourani H.M.
• Alarouj M.
• AlBuhairan F.
• AlDhukair S.
• Ali M.M.
• Alieva A.V.
• Alkandari A.
• Alkhatib B.M.
• Aly E.
• Amarapurkar D.N.
• Amiano Etxezarreta P.
• Amougou N.
• Andersen L.B.
• Anderssen S.A.
• Androutsos O.
• Anjana R.M.
• Ansari-Moghaddam A.
• Anufrieva E.
• Aounallah-Skhiri H.
• Aris T.
• Arku R.E.
• Arlappa N.
• Aryal K.K.
• Assah F.K.
• Assembekov B.
• Assunção M.C.F.
• Auvinen J.
• Avdicová M.
• Azad K.
• Azevedo A.
• Azimi-Nezhad M.
• Azizi F.
• Bacopoulou F.
• Bahijri S.
• Bajramovic I.
• Balakrishna N.
• Bamoshmoosh M.
• Banach M.
• Bandosz P.
• Banegas J.R.
• Baran R.
• Barbagallo C.M.
• Barbosa Filho V.
• Barceló A.
• Baretic M.
• Barnoya J.
• Barrera L.
• Barros A.J.
• Barros M.V.G.
• Basit A.
• Bastos J.L.
• Batieha A.M.
• Batista A.P.
• Batista R.L.
• Battakova Z.
• Baur L.A.
• Bayauli P.M.
• Bel-Serrat S.
• Belavendra A.
• Ben Romdhane H.
• Benedek T.
• Benedics J.
• Benet M.
• Benitez Rolandi G.E.
• Benzeval M.
• Bere E.
• Berger N.
• Bergh I.H.
• Berkinbayev S.
• Bernabe-Ortiz A.
• Bettiol H.
• Beybey A.F.
• Bezerra J.
• Bhagyalaxmi A.
• Bhargava S.K.
• Bika Lele E.C.
• Bikbov M.M.
• Bista B.
• Bjelica D.J.
• Bjerregaard P.
• Bjertness E.
• Bjertness M.B.
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• Bloch K.V.
• Blokstra A.
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• Esmaeili A.
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• Fakhradiyev I.
• Fakhretdinova A.A.
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• Farzi Y.
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• Fernandes R.A.
• Fernández-Bergés D.
• Fernando D.R.
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• Ferreccio C.
• Ferrer E.
• Figueiró T.H.
• Fijalkowska A.
• Fink G.
• Fisberg M.
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• Garcia P.
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• Gasull M.
• Gazzinelli A.
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• Gómez Gómez J.H.
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• Gonçalves Cordeiro da Silva B.
• Gonçalves H.
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• Gonzalez-Chica D.A.
• González-Gil E.M.
• Gonzalez-Gross M.
• González-Rivas J.P.
• Gonzalez A.R.
• Gottrand F.
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Unidades de investigação

• Laboratório Associado RISE- Rede de Investigação em Saúde

  

  Investigador

  Fernando Carlos De Landér Schmitt

• Medicina da Comunidade, Informação e Decisão em Saúde

• RISE-Health

  

  Investigador

  Fernando Carlos De Landér Schmitt

Abstract

Background: Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension. Methods: We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20–64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson's correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to which WHtR varies across regions at the same BMI. We graphically examined the prevalence of hypertension and the distribution of people who have hypertension both in relation to BMI and WHtR, and we assessed how closely BMI and WHtR discriminate between participants with and without hypertension using C-statistic and net reclassification improvement (NRI). Findings: The correlation between BMI and WHtR ranged from 0·76 to 0·89 within different regions. After adjusting for age and BMI, mean WHtR was highest in south Asia for both sexes, followed by Latin America and the Caribbean and the region of central Asia, Middle East and north Africa. Mean WHtR was lowest in central and eastern Europe for both sexes, in the high-income western region for women, and in Oceania for men. Conversely, to achieve an equivalent WHtR, the BMI of the population of south Asia would need to be, on average, 2·79 kg/m2 (95% CI 2·31–3·28) lower for women and 1·28 kg/m2 (1·02–1·54) lower for men than in the high-income western region. In every region, hypertension prevalence increased with both BMI and WHtR. Models with either of these two adiposity metrics had virtually identical C-statistics and NRIs for every region and sex, with C-statistics ranging from 0·72 to 0·81 and NRIs ranging from 0·34 to 0·57 in different region and sex combinations. When both BMI and WHtR were used, performance improved only slightly compared with using either adiposity measure alone. Interpretation: BMI can distinguish young and middle-aged adults with higher versus lower amounts of abdominal adiposity with moderate-to-high accuracy, and both BMI and WHtR distinguish people with or without hypertension. However, at the same BMI level, people in south Asia, Latin America and the Caribbean, and the region of central Asia, Middle East and north Africa, have higher WHtR than in the other regions. Funding: UK Medical Research Council and UK Research and Innovation (Innovate UK). © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Keywords

• Adiposity; Adult; Africa, Northern; Body Mass Index; Female; Global Health; Humans; Hypertension; Latin America; Male; Middle Aged; Middle East; Obesity, Abdominal; Oceania; Prevalence; Waist-Height Ratio; Young Adult; antihypertensive agent; abdominal obesity; adult; Article; body height; body mass; body weight; diastolic blood pressure; female; highest income group; human; hypertension; major clinical study; male; middle aged; population; prevalence; systolic blood pressure; waist circumference; waist to height ratio; Africa; body mass; epidemiology; global health; Middle East; obesity; Pacific islands; South and Central America; young adult