Literature DB >> 27935518

The idea of uniform change: is it time to revisit a central tenet of Rose's "Strategy of Preventive Medicine"?

Fahad Razak1,2,3, George Davey Smith4,5, S V Subramanian6,7.   

Abstract

A mean-centric view of populations, whereby a change in the mean of a health variable at the population level is assumed to result in uniform change across the distribution, is a core component of Geoffrey Rose's concept of the "population strategy" to disease prevention. This idea also has a critical role in Rose's observation that individuals who are considered abnormal or sick (the rightward tail of the distribution) and those who are considered normal (the center) are very closely related, and that true preventive medicine must focus on shifting the normal or average. In this Perspective, we revisit these core tenets of Rose's concept of preventive medicine after providing an overview of the key concepts that he developed. We examine whether these assumptions apply to population changes in body mass index (BMI) and show that there is considerable evidence of a widening of the BMI distribution in populations over time. We argue that, with respect to BMI, the idea of using statistical measures of a population solely on the basis of means and the assumption that populations are coherent entities that change uniformly over time may not fully capture the true nature of changes in the population. These issues have important implications for how we assess and interpret the health of populations over time with implications for the balance between universal and targeted strategies aimed at improving health.
© 2016 American Society for Nutrition.

Keywords:  Geoffrey Rose; dispersion; high risk; inter-individual inequality; population strategy; sick populations; uniform change

Mesh:

Year:  2016        PMID: 27935518     DOI: 10.3945/ajcn.115.127357

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  5 in total

1.  Patterning of individual heterogeneity in body mass index: evidence from 57 low- and middle-income countries.

Authors:  Rockli Kim; Ichiro Kawachi; Brent Andrew Coull; Sankaran Venkata Subramanian
Journal:  Eur J Epidemiol       Date:  2018-01-22       Impact factor: 8.082

2.  Emerging Trends in Clinical Research: With Implications for Population Health and Health Policy.

Authors:  Benjamin Chin-Yee; S V Subramanian; Amol A Verma; Andreas Laupacis; Fahad Razak
Journal:  Milbank Q       Date:  2018-06       Impact factor: 4.911

3.  Early childhood linear growth faltering in low-income and middle-income countries as a whole-population condition: analysis of 179 Demographic and Health Surveys from 64 countries (1993-2015).

Authors:  Daniel E Roth; Aditi Krishna; Michael Leung; Joy Shi; Diego G Bassani; Aluisio J D Barros
Journal:  Lancet Glob Health       Date:  2017-12       Impact factor: 26.763

4.  Explaining Within- vs Between-Population Variation in Child Anthropometry and Hemoglobin Measures in India: A Multilevel Analysis of the National Family Health Survey 2015-2016.

Authors:  Justin Rodgers; Rockli Kim; S V Subramanian
Journal:  J Epidemiol       Date:  2019-10-12       Impact factor: 3.211

5.  Association between population mean and distribution of deviance in demographic surveys from 65 countries: cross sectional study.

Authors:  Fahad Razak; S V Subramanian; Shohinee Sarma; Ichiro Kawachi; Lisa Berkman; George Davey Smith; Daniel J Corsi
Journal:  BMJ       Date:  2018-08-03
  5 in total

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