TY - JOUR
T1 - General and abdominal adiposity and hypertension in eight world regions
T2 - a pooled analysis of 837 population-based studies with 7·5 million participants
AU - Zhou, Bin
AU - Bennett, James E.
AU - Wickham, Aidan P.
AU - Singleton, Rosie K.
AU - Mishra, Anu
AU - Carrillo-Larco, Rodrigo M.
AU - Ikeda, Nayu
AU - Jain, Lakshya
AU - Barradas-Pires, Ana
AU - Heap, Rachel A.
AU - Lhoste, Victor PF
AU - Sheffer, Kate E.
AU - Phelps, Nowell H.
AU - Rayner, Archie W.
AU - Gregg, Edward W.
AU - Woodward, Mark
AU - Stevens, Gretchen A.
AU - Iurilli, Maria LC
AU - Danaei, Goodarz
AU - Di Cesare, Mariachiara
AU - Aguilar-Salinas, Carlos A.
AU - Ahmad, Noor Ani
AU - Bovet, Pascal
AU - Chen, Zhengming
AU - Damasceno, Albertino
AU - Filippi, Sarah L.
AU - Janszky, Imre
AU - Kengne, Andre P.
AU - Khang, Young Ho
AU - Khunti, Kamlesh
AU - Laxmaiah, Avula
AU - Lim, Lee Ling
AU - Lissner, Lauren
AU - Margozzini, Paula
AU - Mbanya, Jean Claude N.
AU - McGarvey, Stephen T.
AU - Shaw, Jonathan E.
AU - Söderberg, Stefan
AU - Soto-Mota, Luis Adrián
AU - Wang, Junyang
AU - Zaccardi, Francesco
AU - Abarca-Gómez, Leandra
AU - Abbasi-Kangevari, Mohsen
AU - Abdrakhmanova, Shynar
AU - Abdul Ghaffar, Suhaila
AU - Abdul Rahim, Hanan F.
AU - Abdurrahmonova, Zulfiya
AU - Abu-Rmeileh, Niveen M.
AU - Acosta-Cazares, Benjamin
AU - Adam, Ishag
AU - Adamczyk, Marzena
AU - Aekplakorn, Wichai
AU - Agdeppa, Imelda A.
AU - Aghazadeh-Attari, Javad
AU - Agyemang, Charles
AU - Ahmad, Mohamad Hasnan
AU - Ahmadi, Ali
AU - Ahmadi, Naser
AU - Ahmadi, Nastaran
AU - Ahmed, Soheir H.
AU - Ahrens, Wolfgang
AU - Aitmurzaeva, Gulmira
AU - Ajlouni, Kamel
AU - Al-Hazzaa, Hazzaa M.
AU - Al-Hinai, Halima
AU - Al-Lawati, Jawad A.
AU - Al-Raddadi, Rajaa
AU - Al Asfoor, Deena
AU - Al Hourani, Huda M.
AU - Alarouj, Monira
AU - AlBuhairan, Fadia
AU - AlDhukair, Shahla
AU - Ali, Mohamed M.
AU - Alieva, Anna V.
AU - Alkandari, Abdullah
AU - Alkhatib, Buthaina M.
AU - Aly, Eman
AU - Amarapurkar, Deepak N.
AU - Amiano Etxezarreta, Pilar
AU - Amougou, Norbert
AU - Andersen, Lars Bo
AU - Anderssen, Sigmund A.
AU - Androutsos, Odysseas
AU - Anjana, Ranjit Mohan
AU - Ansari-Moghaddam, Alireza
AU - Anufrieva, Elena
AU - Aounallah-Skhiri, Hajer
AU - Aris, Tahir
AU - Arku, Raphael E.
AU - Arlappa, Nimmathota
AU - Aryal, Krishna K.
AU - Assah, Felix K.
AU - Assembekov, Batyrbek
AU - Assunção, Maria Cecília F.
AU - Auvinen, Juha
AU - Avdičová, Mária
AU - Azad, Kishwar
AU - Azevedo, Ana
AU - Azimi-Nezhad, Mohsen
AU - Azizi, Fereidoun
AU - Bacopoulou, Flora
AU - Bahijri, Suhad
AU - Bajramovic, Izet
AU - Balakrishna, Nagalla
AU - Bamoshmoosh, Mohamed
AU - Banach, Maciej
AU - Bandosz, Piotr
AU - Banegas, José R.
AU - Baran, Rafał
AU - Barbagallo, Carlo M.
AU - Barbosa Filho, Valter
AU - Barceló, Alberto
AU - Baretić, Maja
AU - Barnoya, Joaquin
AU - Barrera, Lena
AU - Barros, Aluisio JD
AU - Barros, Mauro Virgílio Gomes
AU - Basit, Abdul
AU - Bastos, Joao Luiz
AU - Batieha, Anwar M.
AU - Batista, Aline P.
AU - Batista, Rosangela L.
AU - Battakova, Zhamilya
AU - Baur, Louise A.
AU - Bayauli, Pascal M.
AU - Bel-Serrat, Silvia
AU - Belavendra, Antonisamy
AU - Ben Romdhane, Habiba
AU - Benedek, Theodora
AU - Benedics, Judith
AU - Benet, Mikhail
AU - Benitez Rolandi, Gilda Estela
AU - Benzeval, Michaela
AU - Bere, Elling
AU - Berger, Nicolas
AU - Bergh, Ingunn Holden
AU - Berkinbayev, Salim
AU - Bernabe-Ortiz, Antonio
AU - Bettiol, Heloísa
AU - Beybey, Augustin F.
AU - Bezerra, Jorge
AU - Bhagyalaxmi, Aroor
AU - Bhargava, Santosh K.
AU - Bika Lele, Elysée Claude
AU - Bikbov, Mukharram M.
AU - Bista, Bihungum
AU - Bjelica, Dusko J.
AU - Bjerregaard, Peter
AU - Bjertness, Espen
AU - Bjertness, Marius B.
AU - Björkelund, Cecilia
AU - Bloch, Katia V.
AU - Blokstra, Anneke
AU - Bo, Simona
AU - Bobak, Martin
AU - Boddy, Lynne M.
AU - Boehm, Bernhard O.
AU - Boggia, Jose G.
AU - Bogova, Elena
AU - Bonaccio, Marialaura
AU - Bonilla-Vargas, Alice
AU - Borghs, Herman
AU - Botomba, Steve
AU - Bourne, Rupert
AU - Boymatova, Khadichamo
AU - Braeckman, Lutgart
AU - Braithwaite, Tasanee
AU - Brajkovich, Imperia
AU - Branca, Francesco
AU - Brenner, Hermann
AU - Brewster, Lizzy M.
AU - Briceño, Yajaira
AU - Brinduse, Lacramioara
AU - Bringolf-Isler, Bettina
AU - Brito, Miguel
AU - Brug, Johannes
AU - Bugge, Anna
AU - Buntinx, Frank
AU - Buoncristiano, Marta
AU - Burns, Con
AU - Cabrera de León, Antonio
AU - Caixeta, Roberta B.
AU - Cama, Tilema
AU - Can, Günay
AU - Cândido, Ana Paula C.
AU - Cañete, Felicia
AU - Capanzana, Mario V.
AU - Čapková, Naděžda
AU - Capuano, Eduardo
AU - Capuano, Rocco
AU - Capuano, Vincenzo
AU - Cardoso, Viviane C.
AU - Carlsson, Axel C.
AU - Casanueva, Felipe F.
AU - Casas, Maribel
AU - Censi, Laura
AU - Cervantes-Loaiza, Marvin
AU - Chamnan, Parinya
AU - Chamukuttan, Snehalatha
AU - Chan, Queenie
AU - Chaturvedi, Nish
AU - Chen, Fangfang
AU - Chen, Huashuai
AU - Chen, Long Sheng
AU - Cheng, Yiling J.
AU - Cheraghian, Bahman
AU - Chetrit, Angela
AU - Chikova-Iscener, Ekaterina
AU - Chinapaw, Mai JM
AU - Chinnock, Anne
AU - Chiolero, Arnaud
AU - Chirita-Emandi, Adela
AU - Chirlaque, María Dolores
AU - Chong, Chean Lin
AU - Christofaro, Diego G.
AU - Chudek, Jerzy
AU - Cifkova, Renata
AU - Cirillo, Massimo
AU - Claessens, Frank
AU - Clare, Philip
AU - Cohen, Emmanuel
AU - Confortin, Susana C.
AU - Coppinger, Tara C.
AU - Cortés, Lilia Yadira
AU - Cosmin, Cojocaru R.
AU - Costanzo, Simona
AU - Cowan, Melanie J.
AU - Cowell, Chris
AU - Crampin, Amelia C.
AU - Cross, Amanda J.
AU - Crujeiras, Ana B.
AU - Cruz, Juan J.
AU - Cucu, Alexandra M.
AU - Cureau, Felipe V.
AU - Cuschieri, Sarah
AU - D'Arrigo, Graziella
AU - d'Orsi, Eleonora
AU - da Silva-Ferreira, Haroldo
AU - Dahm, Christina C.
AU - Dallongeville, Jean
AU - Dankner, Rachel
AU - Davletov, Kairat
AU - de Assis Guedes de Vasconcelos, Francisco
AU - Evans, Roger G.
AU - Magliano, Dianna J.
AU - Oldenburg, Brian
AU - Rouse, Ian
AU - Thrift, Amanda G.
AU - Wareham, Nicholas
AU - Zimmet, Paul
AU - NCD Risk Factor Collaboration (NCD-RisC)
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2024/8/31
Y1 - 2024/8/31
N2 - 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).
AB - 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).
UR - https://www.scopus.com/pages/publications/85202151977
U2 - 10.1016/S0140-6736(24)01405-3
DO - 10.1016/S0140-6736(24)01405-3
M3 - Article
C2 - 39216975
AN - SCOPUS:85202151977
SN - 0140-6736
VL - 404
SP - 851
EP - 863
JO - The Lancet
JF - The Lancet
IS - 10455
ER -