Body mass index relates weight to height differently in women and older adults: serial cross-sectional surveys in England (1992–2011)
Open accessAbstract
BACKGROUND: Body mass index (BMI) tends to be higher among shorter adults, especially women. The dependence of BMI-height correlation on age and calendar time may inform us about temporal determinants of BMI. METHODS: Series of cross-sectional surveys: Health Survey for England, 1992-2011. We study the Benn Index, which is the coefficient in a regression of log(weight) on log(height). This is adjusted for age, gender and calendar time, allowing for non-linear terms and interactions. RESULTS: By height quartile, mean BMI decreased with increasing height, more so in women than in men (P < 0.001). The decrease in mean BMI in the tallest compared with the shortest height quartile was 0.77 in men (95% CI 0.69, 0.86) and 1.98 in women (95% CI 1.89, 2.08). Regression analysis of log(weight) on log(height) revealed that the inverse association between BMI and height was more pronounced in older adults and stronger in women than in men, with little change over calendar time. CONCLUSIONS: Unlike early childhood, where taller children tend to have higher BMI, adults, especially women and older people, show an inverse BMI-height association. BMI is a heterogeneous measure of weight-for-height; height may be an important and complex determinant of BMI trajectory over the life course.
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The trend of VAI decrease may highly correlate with the increasing trend of TG, BMI and WC overtime reported by other studies.
“Our findings showed that while LAP and ABSI had an increasing trend over time, the trend of VAI significantly decreased in both GDM and non-GDM groups, results which may highly correlate with the increasing trend of TG, BMI and WC overtime reported by other studies [28–30].”
From Trend of various adiposity indices in women with and without history of gestational diabetes: a population-based cohort study (2019) · cites this paper as [29]
The Results section, “BMI trends over time by height group” (page unavailable), reports rising BMI in English men and women from 1992 to 2011. The cited paper does not report increasing trends in triglycerides (TG) or waist circumference (WC); its Introduction mentions WC only in a comparison of disease predictors. The proposed relationship to the citing authors’ VAI findings is their own inference, not a finding attributed to this source. (LLM, conf=0.88)
Experimental — accuracy not yet measuredBMI can underestimate fat mass in the elderly, in individuals who have lost bone or muscle mass, and in people of certain ethnicities, leading to underdiagnosis of obesity.
“For example, BMI can underestimate fat mass in the elderly, in individuals who have lost bone or muscle mass, and in people of certain ethnicities (eg, Asian populations), leading to underdiagnosis of obesity.35,40”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [40]
The Introduction (page unavailable) says BMI is not a measure of body fat amount, and the Discussion, ‘What this study adds’ (page unavailable), cautions that BMI’s meaning varies across adults and age groups. The paper does not establish that BMI specifically underestimates fat mass in older adults, people who have lost bone or muscle, or particular ethnic groups, or that it leads to underdiagnosis of obesity. (LLM, conf=0.82)
Experimental — accuracy not yet measured
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
(2000) · PubMed · Cited by 13,173 · see citing works
Obesity : Preventing and managing the global epidemic
Akram, D. S., Astrup, A. V., Atinmo, T., Boissin, J.-L., Bray, G. A., Carroll, K. N., Chitson, P., Chen, C., Dietz, W. H., Hill, J. O., et al. (2000) · Research at the University of Copenhagen (University of Copenhagen) · Cited by 12,945 · see citing works
(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717 · see citing works
Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E. C., Biryukov, S., Abbafati, C., Abera, S. F., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60460-8 · Cited by 11,952 · see citing works
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481 · see citing works
Renehan, A. G., Tyson, M., Egger, M., Heller, R. F., & Zwahlen, M. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60269-x · Cited by 5,219 · see citing works
Self-citationFinucane, M. M., Stevens, G. A., Cowan, M. J., Danaei, G., Lin, J. K., Paciorek, C. J., Singh, G. M., Gutierrez, H. R., Lu, Y., Bahalim, A. N., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62037-5 · Cited by 4,050 · see citing works
Yusuf, S., Hawken, S., Ôunpuu, S., Bautista, L., Franzosi, M. G., Commerford, P., Lang, C. C., Rumboldt, Z., Onen, C. L., Lisheng, L., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67663-5 · Cited by 2,903 · see citing works
Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling
Royston, P. J., & Altman, D. G. (1994) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2986270 · Cited by 1,843 · see citing works
The Emerging Risk Factors Collaboration (2011) · The Lancet · doi:10.1016/s0140-6736(11)60105-0 · Cited by 1,216 · see citing works
Vazquez, G., Duval, S., Jacobs, D. R., & Silventoinen, K. (2007) · Epidemiologic Reviews · doi:10.1093/epirev/mxm008 · Cited by 976 · see citing works
Adolphe Quetelet (1796 1874) the average man and indices of obesity
Eknoyan, G. (2007) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfm517 · Cited by 746 · see citing works
Birth weight and subsequent risk of obesity: a systematic review and meta‐analysis
Yu, Z., Han, S., Zhu, G., Zhu, C., Wang, X. J., Cao, X., & Guo, X. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00867.x · Cited by 524 · see citing works
Fraser, A., Tilling, K., Macdonald-Wallis, C., Sattar, N., Brion, M.-J., Benfield, L., Ness, A., Deanfield, J., Hingorani, A., Nelson, S. M., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.906081 · Cited by 486 · see citing works
Sauerbrei, W., & Royston, P. J. (1999) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/1467-985x.00122 · Cited by 475 · see citing works
Obesity and the pubertal transition in girls and boys
Solorzano, C. M. B., & McCartney, C. R. (2010) · Reproduction · doi:10.1530/rep-10-0119 · Cited by 454 · see citing works
Bundred, P. E., Kitchiner, D., & Buchan, I. E. (2001) · BMJ · doi:10.1136/bmj.322.7282.326 · Cited by 395 · see citing works
Self-citationSome mathematical properties of weight-for-height indices used as measures of adiposity.
Benn, R. T. (1971) · Journal of Epidemiology & Community Health · doi:10.1136/jech.25.1.42 · Cited by 332 · see citing works
Bogoch, I. I., Creatore, M. I., Cetron, M. S., Brownstein, J. S., Pesik, N., Miniota, J., Tam, T. W. S., Hu, W., Nicolucci, A., Ahmed, S. S., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61828-6 · Cited by 234 · see citing works
Global health risks: progress and challenges
Stevens, G., Mascarenhas, M., & Mathers, C. D. (2009) · Bulletin of the World Health Organization · doi:10.2471/blt.09.070565 · Cited by 171 · see citing works
Timing of puberty and physical growth in obese children: a longitudinal study in boys and girls
De Leonibus, C., Marcovecchio, M. L., Chiavaroli, V., de Giorgis, T., Chiarelli, F., & Mohn, A. (2014) · Pediatric Obesity · doi:10.1111/j.2047-6310.2013.00176.x · Cited by 167 · see citing works
Zaninotto, P., Head, J. A., Stamatakis, E. A., Wardle, H., & Mindell, J. S. (2008) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2008.077305 · Cited by 151 · see citing works
Crocker, M. K., Stern, E. A., Sedaka, N. M., Shomaker, L. B., Brady, S. M., Ali, A. H., Shawker, T. H., Hubbard, V. S., & Yanovski, J. A. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-1384 · Cited by 109 · see citing works
Renehan, A. G., Soerjomataram, I., & Leitzmann, M. F. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.07.052 · Cited by 98 · see citing works
Self-citationDiverse Populations Collaborative Group (2005) · American Journal of Physical Anthropology · doi:10.1002/ajpa.20107 · Cited by 93 · see citing works
Birthweight for length: ponderal index, body mass index or Benn index?
Cole, T. J., Henson, G. L., Tremble, J. M., & Colley, N. (1997) · Annals of Human Biology · doi:10.1080/03014469700005032 · Cited by 79 · see citing works
Metcalf, B. S., Hosking, J., Frémeaux, A. E., Jeffery, A., Voss, L. D., & Wilkin, T. J. (2011) · International Journal of Obesity · doi:10.1038/ijo.2010.258 · Cited by 67 · see citing works
Sperrin, M., Marshall, A. D., Higgins, V., Buchan, I. E., & Renehan, A. G. (2013) · International Journal of Obesity · doi:10.1038/ijo.2013.161 · Cited by 54 · see citing works
Self-citationSex Steroids in Relation to Sexual and Skeletal Maturation in Obese Male Adolescents
Vandewalle, S., Taes, Y., Fiers, T., Helvoirt, M. V., Debode, P., Herregods, N., Ernst, C., Caenegem, E. V., Roggen, I., Verhelle, F., et al. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-1452 · Cited by 53 · see citing works
Buchan, I. E., Bundred, P. E., Kitchiner, D. J., & Cole, T. J. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803435 · Cited by 52 · see citing works
Self-citationLazarus, R. M., Baur, L. A., Webb, K., & Blyth, F. (1996) · PubMed · Cited by 40 · see citing works
Weight-for-Height Indices of Adiposity: Relationships with Height in Childhood and Early Adult Life
Freeman, J. V., Power, C., & Rodgers, B. (1995) · International Journal of Epidemiology · doi:10.1093/ije/24.5.970 · Cited by 36 · see citing works
Height and cancer: consistent links, but mechanisms unclear
Renehan, A. G. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70193-0 · Cited by 29 · see citing works
Self-citationAdolescent Growth in Overweight and Non‐Overweight Children in J apan: a Multilevel Analysis
Zheng, W., Suzuki, K., Sato, M., Yokomichi, H., Shinohara, R., & Yamagata, Z. (2014) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12116 · Cited by 12 · see citing works
Weight/height2.88 as a screening test for obesity or thinnes in schoolage children
Rosenthal, M., Bain, S. H., Bush, A., & Warner, J. O. (1994) · European Journal of Pediatrics · doi:10.1007/bf01954737 · Cited by 12 · see citing works
Weight/height 2.88 as a screening test for obesity or thinness in schoolage children
Rosenthal, M., Bain, S. H., Bush, A., & Warner, J. O. (1994) · European Journal of Pediatrics · doi:10.1007/s004310050233 · Cited by 11 · see citing works
Association between BMI and height in girls aged 7?18 years ? a longitudinal study
Wronka, I. (2013) · Anthropologischer Anzeiger · doi:10.1127/0003-5548/2013/0332 · Cited by 4 · see citing works
Benn Index at Birth is Associated with Postnatal Linear Growth
Cheung, Y. B., Albertsson-Wikland, K. G., Luo, Z., He, Q., & KARLBERG, J. P. E. (2002) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem.2002.15.8.1161 · Cited by 3 · see citing works
Flagged first, then by citations
3 of the 42 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [18]Rohrer F Der Index der Körperfülle als Maß des Ernährungszustandes (engl: The index of corpulence as measure of nutritional state). Münchner Med Wschr 1921; 68: 580– 2.
Cited by
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Definition and diagnostic criteria of clinical obesity
Rubino, F., Cummings, D. E., Eckel, R. H., Cohen, R. V., Wilding, J. P. H., Brown, W. A., Stanford, F. C., Batterham, R. L., Farooqi, I. S., Farpour-Lambert, N. J., et al. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00316-4 · Cited by 1,811 · see citing works
Adiposity and cancer risk: new mechanistic insights from epidemiology
Renehan, A. G., Zwahlen, M., & Egger, M. (2015) · Nature Reviews Cancer · doi:10.1038/nrc3967 · Cited by 654 · see citing works
Self-citationPerils and pitfalls of reporting sex differences
Maney, D. L. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0119 · Cited by 186 · see citing works
Sex and gender differences in intensive care medicine
Merdji, H., Long, M. T., Ostermann, M., Herridge, M. S., Myatra, S. N., Rosa, S. D., Metaxa, V., Kotfis, K., Robba, C., JONG, A. D., et al. (2023) · Intensive Care Medicine · doi:10.1007/s00134-023-07194-6 · Cited by 127 · see citing works
Shevroja, E., Aubry‐Rozier, B., Hans, G., Rodríguez, E. G., Stoll, D., Lamy, O., & Hans, D. B. (2019) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3851 · Cited by 73 · see citing works
Sex Differences in Atrial Fibrillation Risk
Siddiqi, H. K., Moorthy, M. V., Gencer, B., Ng, C., Pester, J., Cook, N. R., Lee, I.-M. M., Buring, J. E., Manson, J. E., & Albert, C. M. (2022) · JAMA Cardiology · doi:10.1001/jamacardio.2022.2825 · Cited by 72 · see citing works
Zielińska‐Bliźniewska, H., Sitarek, P., Merecz-Sadowska, A., Malinowska, K., Zajdel, K., Jabłońska, M. R., Śliwiński, T., & Zajdel, R. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184556 · Cited by 67 · see citing works
Johnson, W., Norris, T., Bann, D., Cameron, N., Wells, J. C. K., Cole, T. J., & Hardy, R. (2020) · Annals of Human Biology · doi:10.1080/03014460.2020.1737731 · Cited by 42 · see citing works
An affective learning-based system for diagnosis and personalized management of diabetes mellitus
Omisore, O. M., Ojokoh, B. A., Babalola, A. E., Igbe, T., Folajimi, Y., Nie, Z., & Wang, L. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.10.035 · Cited by 31 · see citing works
Staub, K., Bender, N., Floris, J., Pfister, C., & Rühli, F. J. (2016) · Obesity Facts · doi:10.1159/000446966 · Cited by 25 · see citing works
Investigating heterogeneity of effects and associations using interaction terms
Kontopantelis, E., Sperrin, M., Mamas, M. A., & Buchan, I. E. (2017) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2017.09.012 · Cited by 23 · see citing works
Self-citationGao, B., Yang, C., Liu, J., & Zhou, X. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009293 · Cited by 23 · see citing works
Ward, S. V., Burton, A. J., Tamimi, R. M., Pereira, A. P. R., Garmendia, M. L., Pollán, M., Boyd, N. F., dos‐Santos‐Silva, I., Maskarinec, G., Pérez‐Gómez, B., et al. (2022) · Breast Cancer Research · doi:10.1186/s13058-022-01545-9 · Cited by 23 · see citing works
Quételet (body mass) index and effects of dapagliflozin in chronic kidney disease
Chertow, G. M., Vart, P., Jongs, N., Langkilde, A. M., McMurray, J. J. V., Correa‐Rotter, R., Rossing, P. R., Sjöström, C. D., Stefánsson, B. V., Toto, R. D., et al. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14641 · Cited by 19 · see citing works
O’Donovan, G., Sarmiento, O. L., Hessel, P., Terrera, G. M., Duran-Aniotz, C. A., & Ibáñez, A. M. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1011967 · Cited by 20 · see citing works
Tilahun, M., Gebretsadik, D., Seid, A., Gedefie, A., Belete, M. A., Tesfaye, M., Kebede, E., & Shibabaw, A. (2023) · SAGE Open Medicine · doi:10.1177/20503121221145569 · Cited by 22 · see citing works
Ayers, J. D., Beltrán, D. G., Horn, A. V., Cronk, L., Todd, P. M., & Aktipis, A. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2021.111246 · Cited by 18 · see citing works
Atlantis, E. E., Fahey, P. P., Williams, K., Edwards, S., Samaras, K., Dugdale, P., Shi, Z., & Sharma, A. M. (2020) · Clinical Obesity · doi:10.1111/cob.12368 · Cited by 18 · see citing works
Impact of wearable-assisted walking on sarcopenia and body composition in older adults
Wu, C.-E. R., & Manga, Y. B. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06142-x · Cited by 17 · see citing works
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Patel, M., McCormick, A., Tamaroff, J. G., Dunn, J., Mitchell, J. A., Lin, K. Y., Farmer, J., Rummey, C., Perlman, S. L., Delatycki, M. B., et al. (2021) · Neurology Genetics · doi:10.1212/nxg.0000000000000638 · Cited by 16 · see citing works
Sperrin, M., Rushton, H., Dixon, W. G., Normand, A., Villard, J., Chieh, A. Y., & Buchan, I. E. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4767 · Cited by 16 · see citing works
Self-citationBehboudi-Gandevani, S., Ramezani Tehrani, F., Rahmati, M., Amiri, M., & Azizi, F. (2019) · BMC Endocrine Disorders · doi:10.1186/s12902-019-0348-5 · Cited by 14 · see citing works
Xu, M., Li, M., Zhang, Y., Li, L., Shen, Y., & Hu, G. (2025) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.70095 · Cited by 15 · see citing works
Artificial neural network optimizes self-examination of osteoporosis risk in women
Meng, J., Sun, N., Chen, Y., Li, Z., Cui, X., Fan, J., Cao, H., Zheng, W., Jin, Q., Jiang, L., et al. (2019) · Journal of International Medical Research · doi:10.1177/0300060519850648 · Cited by 15 · see citing works
Farahmand, M., Tehrani, F. R., Khalili, D., Cheraghi, L., & Azizi, F. (2020) · European Journal of Pediatrics · doi:10.1007/s00431-020-03575-x · Cited by 15 · see citing works
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Wang, B., Derman, B. A., Langerman, S. S., Johnson, J., Zhang, W., Jakubowiak, A. J., & Chiu, B. C. ‐. (2022) · Cancers · doi:10.3390/cancers14215331 · Cited by 14 · see citing works
Increase in Obesity Among Women of Reproductive Age in Zambia, 2002–2014
Moise, I. K., Kangmennaang, J., Halwiindi, H., Grigsby‐Toussaint, D. S., & Fuller, D. O. (2019) · Journal of Women s Health · doi:10.1089/jwh.2018.7577 · Cited by 14 · see citing works
Keetile, M., Navaneetham, K., Letamo, G., Bainame, K., Rakgoasi, S. D., Gabaitiri, L., Masupe, T., & Molebatsi, R. M. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-029570 · Cited by 14 · see citing works
Ragaisyte, E., Bardauskienė, L., Zelbienė, E., Darginavičius, L., Zemaityte, E., Jasinskas, N., & Stašaitis, K. (2018) · Turkish Journal of Emergency Medicine · doi:10.1016/j.tjem.2018.07.002 · Cited by 13 · see citing works
Elands, R. J. J., Offermans, N. S. M., Simons, C. C. J. M., Schouten, L. J., Verhage, B. A. J., van den Brandt, P. A., & Weijenberg, M. P. (2018) · International Journal of Cancer · doi:10.1002/ijc.31890 · Cited by 12 · see citing works
Wanyama, R., Obai, G., Odongo, P., Kagawa, M. N., & Baingana, R. K. (2018) · Reproductive Health · doi:10.1186/s12978-018-0608-2 · Cited by 12 · see citing works
Copley, V. R., Cavill, N., Wolstenholme, J. L., Fordham, R. J., & Rutter, H. (2017) · BMC Public Health · doi:10.1186/s12889-017-4665-1 · Cited by 12 · see citing works
A gender-based analysis of the obesity paradox in cardiac surgery: height for women, weight for men?
Ranucci, M., Vincentiis, C. D., Menicanti, L., Rovere, M. T. L., & Pistuddi, V. (2018) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezy454 · Cited by 11 · see citing works
Do functional and biological factors influence the handgrip strength: A systematic review
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The role of body height as a co‐factor of excess weight in Switzerland
Rickenbacher, M., Gültekin, N., Stanga, Z. G., Bender, N., Staub, K., Wells, J. C. K., Matthes, K. L., & Reber, E. (2022) · American Journal of Human Biology · doi:10.1002/ajhb.23754 · Cited by 10 · see citing works
Chweidan, H., Rudyuk, N., Tzur, D., Goldstein, C., & Almoznino, G. (2024) · Bioengineering · doi:10.3390/bioengineering11020134 · Cited by 9 · see citing works
Kazzazi, F., Ching, R. C., & Malata, C. M. (2018) · PubMed Central · Cited by 9 · see citing works
Podstawski, R., Omelan, A., Borysławski, K., & Wąsik, J. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1198485 · Cited by 6 · see citing works
Teh, C. H., Rampal, S., Kee, C. C., Omar, M. A., & Tahir, A. (2023) · International Journal of Obesity · doi:10.1038/s41366-023-01391-5 · Cited by 8 · see citing works
Wullems, J. A., Degens, H., Verschueren, S., Morse, C. I., Grant, D. M., & Onambélé-Pearson, G. L. (2024) · PLoS ONE · doi:10.1371/journal.pone.0294555 · Cited by 8 · see citing works
Осипов, А., Ермаков, С., Грузинкин, В., Кудрявцев, М., Близневский, А., Близневская, В., Сержанова, Ж., Кузьмин, В., Жавнер, Т., Вапаева, А., et al. (2018) · Journal of Physical Education and Sport · doi:10.7752/jpes.2018.02118 · Cited by 8 · see citing works
Ghachem, A., Marcotte‐Chénard, A., Dionne, I. J., & Brochu, M. (2019) · Annals of Human Biology · doi:10.1080/03014460.2019.1635645 · Cited by 7 · see citing works
Silverman, M. P. (2022) · Open Journal of Statistics · doi:10.4236/ojs.2022.125044 · Cited by 6 · see citing works
Watowich, M. M., Arner, A. M., Wang, S., John, E., Kahumbu, J. C., Kinyua, P., Lopurudoi, A., Lotukoi, F., Mwai, C., Muhoya, B., et al. (2024) · medRxiv · doi:10.1101/2024.08.26.24312234 · Cited by 6 · see citing works
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Sibal, R., Balamurugan, G., Graham, Y. N. H., & Mahawar, K. K. (2025) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2025.2537160 · Cited by 5 · see citing works
McSkane, M., Stintzing, S., Heinemann, V., Puccini, A., Naseem, M., Cao, S., Lenz, H.-J., & Jelas, I. (2018) · Clinical Colorectal Cancer · doi:10.1016/j.clcc.2018.05.003 · Cited by 5 · see citing works
Wang, X., Hata, A., Wada, N., Song, J., Fukuda, T., Nakamura, Y., Nishino, M., Li, Y., Schiebler, M. L., Christiani, D. C., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105995 · Cited by 6 · see citing works
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Myles, L., Massy‐Westropp, N., & Barnett, F. (2022) · British Journal of Occupational Therapy · doi:10.1177/03080226221135375 · Cited by 4 · see citing works
Bonsu, I. M., Brandt, C., Ajidahun, A. T., Moses, M. O., & Myezwa, H. (2023) · African Journal of Primary Health Care & Family Medicine · doi:10.4102/phcfm.v15i1.3781 · Cited by 4 · see citing works
Early Growth Hormone Treatment Enhances Growth and Nutritional Status in Silver-Russell Syndrome
Giabicani, É., de Villemeur, R. B., Acher, M., Cochet, M., Perrière, A., Dubern, B., & Netchine, I. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaf452 · Cited by 3 · see citing works
Gradl-Dietsch, G., Peters, T., Meule, A., Hebebrand, J., & Voderholzer, U. (2024) · Nutrients · doi:10.3390/nu16111732 · Cited by 3 · see citing works
Hao, X., Hu, H., Chen, J., Wang, Q., & Xu, G. (2026) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-026-09647-7 · Cited by 2 · see citing works
Maulani, G. C., & Jeddy, J. (2021) · Jurnal Kedokteran Gigi Terpadu · doi:10.25105/jkgt.v2i2.8796 · Cited by 2 · see citing works
THE ANTHROPOMETRY RELATIONSHIP LONG BONE TO HEIGHT OF BATAK TOBA TRIBE STUDENT IN BEKASI CITY
Ambarita, E. O., Setyawati, I., & Yulihastuti, D. A. (2022) · SIMBIOSIS Journal of Biological Sciences · doi:10.24843/jsimbiosis.2022.v10.i01.p03 · Cited by 2 · see citing works
Classification of Human Weight Based on Image
Uyun, S., & Efendi, T. (2019) · IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · doi:10.22146/ijccs.35794 · Cited by 2 · see citing works
Association between BMI and Iron Status among Diabetic Patients in Oujda-ANGAD-MOROCCO
Hsaini, A., Aboussaleh, Y., Bikri, S., & Ahami, A. O. T. (2020) · Current Research in Nutrition and Food Science Journal · doi:10.12944/crnfsj.8.2.07 · Cited by 2 · see citing works
Siddiqui, M. K. R., Karmakar, P. K., Nabi, S., Hossain, M. A., Faroque, S. M. O., Khuda, C. M. K. E., Karmaker, P., Datta, R. K., Ahsan, M. M., & Khan, M. M. H. (2018) · Bangladesh Heart Journal · doi:10.3329/bhj.v33i1.37024 · Cited by 2 · see citing works
Shaviya, N., Budambula, V., & Were, T. (2020) · Ethiopian Journal of Health Sciences · doi:10.4314/ejhs.v30i4.4 · Cited by 2 · see citing works
Howey, R. A. J., Adam, J., Adamski, J., Atabaki, N. N., Brunak, S., Chmura, P. J., Masi, F. D., Dermitzakis, E. T., Fernandez-Tajes, J. J., Forgie, I. M., et al. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011776 · Cited by 1 · see citing works
Wei, F., Li, J., Zhu, H., & Mao, Y. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1706780 · Cited by 1 · see citing works
Watowich, M. M., Arner, A. M., Wang, S., John, E., Kahumbu, J. C., Kinyua, P., Lopurudoi, A., Lotukoi, F., Mwai, C., Muhoya, B., et al. (2026) · Evolution Medicine and Public Health · doi:10.1093/emph/eoag007 · Cited by 1 · see citing works
Orji, K. N., Oguji, C. E., Onyeama, U. F., Agbo, M. E., Sunday, F. C., Makata, V. C., Nnaji, C. F., Eze, S. O., Ike, O. H., & Okonkwo, I. N. (2022) · GSC Biological and Pharmaceutical Sciences · doi:10.30574/gscbps.2022.19.3.0210 · Cited by 1 · see citing works
Energy Trade-off and 4 Extreme Human Body Types
Hochberg, Z., Albertsson-Wikland, K. G., Privé, F., German, A., Holmgren, A., Rubin, L., & Shmoish, M. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac665 · Cited by 1 · see citing works
Disease-Based Criteria vs BMI Level for Prioritization of Metabolic Surgery
Roser, P., McIntyre, R. D., Cremona, S., Assiri, A., Silva, L. B., Chamseddine, G., & Rubino, F. (2025) · Obesity Surgery · doi:10.1007/s11695-025-07896-4 · Cited by 1 · see citing works
Berkai, C., Hariharan, M., Yogesh, C. K., Yaacob, S., & Omar, M. I. (2017) · Journal of Medical Imaging and Health Informatics · doi:10.1166/jmihi.2017.2022 · Cited by 1 · see citing works
Llorente-Romero, Z. P., Marín, B. E. L., Restrepo, G. C. D., & Arboleda-Montoya, L. M. (2020) · Revista Española de Nutrición Humana y Dietética · doi:10.14306/renhyd.24.4.797 · Cited by 1 · see citing works
Morphological Examination of Young Adults Related to Obesity
Borsos, É., Halaši, S., Ihász, F., Czékus, G., Horák, R., Lepeš, J., & Stajer, A. (2018) · International Journal of Morphology · doi:10.4067/s0717-95022018000100121
Henry-Unaeze, H. N., Ngwu, E. K., & Nwamara, J. U. (2019) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2019.01.026
Kamal, A. M., Khatun, K., Shams, S., Kazi, B. D., Rahman, K. A., Shahnaz, T., Hossain, M. M., & Siddika, M. A. (2020) · Journal of Dhaka Medical College · doi:10.3329/jdmc.v28i1.45750
Pattern of BMI and associated factors in residents of Hussainabad aged 15 years and above.
Nazir, A., Usmani, R. A., Sarfraz, M., Zakria, M., Ghafoor, M. U., Nazir, M., & Malik, S. A. (2020) · The Professional Medical Journal · doi:10.29309/tpmj/2020.27.04.3665
Lin, B. D., Mullin, B. H., Wilson, S. G., Walsh, J. P., Li, Y., Adan, R. A. H., & Luykx, J. J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.24.312181
Paneru, R., & Thapa, M. (2022) · Nepal Journal of Obstetrics and Gynaecology · doi:10.3126/njog.v16i2.42099
Baker, W. L., & Jaiswal, A. (2022) · Experimental and Clinical Transplantation · doi:10.6002/ect.2022.0182
David, O., Isyaku, M. U., Etukudo, E. M., & Usman, I. M. (2023) · Research Square · doi:10.21203/rs.3.rs-3184852/v1
Daga, F. A., Agostino, S., & Cazzoli, S. (2023) · The Annals of Dunarea de Jos University of Galati Fascicle XV Physical Education and Sport Management · doi:10.35219/efms.2023.2.05
Effect of vitamin D on body mass index in football athletes
Sultan, N., Arif, T., Shah, I., & Khan, W. (2024) · Pedagogy of Physical Culture and Sports · doi:10.15561/26649837.2024.0410
Liu, M., Dumuid, D., Olds, T., Burgner, D. P., Ellul, S., Juonala, M., Wang, Y., Ranganathan, S., Cheung, M. M. H., Baur, L. A., et al. (2025) · Childhood Obesity · doi:10.1089/chi.2024.0316
Thảo, N. T. T., & Park, H. (2025) · Journal of Korean Gerontological Nursing · doi:10.17079/jkgn.2025.00017
Ward, S. V., Burton, A., Tamimi, R. M., Pereira, A., Garmendia, M. L., Pollán, M., Boyd, N. F., dos-Santos-Silva, I., Maskarinec, G., Perez-Gomez, B., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20317846
Heritability of Body Fat Percentage in Middle-aged and Older Qingdao Twins
Cui, F., Wang, W., Tian, X., & Zhang, D. (2025) · Twin Research and Human Genetics · doi:10.1017/thg.2025.10039
Masoumi, S., Hajizadeh, E., Khalili, D., & Eskandari, F. (2026) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-026-01869-9
- Authors
- Sperrin, M., Marshall, A. D., Higgins, V., Renehan, A. G., & Buchan, I. E.
- Affiliations
- University of Manchester (GB)
- Venue
- Journal of Public Health
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-06-01
- Volume
- 38
- Issue
- 3
- Pages
- 607-613
- ISSN
- 0943-1853 (ISSN-L)
- 1741-3842
- 1741-3850
- PMC
- PMC5072155
- OpenAlex
- W1849979225
- Cited by
- 83
- References
- 42
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 6 · 2023: 7 · 2022: 14 · 2021: 5 · 2020: 11 · 2019: 9 · 2018: 9 · 2017: 3 · 2016: 3 · 2015: 1
- FWCI
- 5.72
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Journal of Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- St Andrews Research Repository (St Andrews Research Repository) (submittedVersion, cc-by)
- Funders
- the University of Manchester's Health eResearch Centre (HeRC)
- the Medical Research Council (MRC) (MR/K006665/1, RES-149-25-1076)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Keywords
- body mass index, height, weight-for-height, sex differences, older adults, adult height, life course, Health Survey for England
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Body Height, Body Weight, Cross-Sectional Studies, England, Female, Humans, Male, Middle Aged, Sex Factors, Body Mass Index, Young Adult
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