ReviewEuropean journal of clinical nutrition2017
Body composition and susceptibility to type 2 diabetes: an evolutionary perspective.
Review in European journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 42 citations in OpenAlex.
- Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Review
- Body composition, geography and ethnicity: understanding the associations with health.European journal of clinical nutrition · 2026Review
- Total and regional fat-to-muscle mass ratio and risks of pan-cancer: a prospective cohort study.BMC medicine · 2025Article
- Fat-Free Mass: Friend or Foe to Metabolic Health?Journal of cachexia, sarcopenia and muscle · 2025Review
- Parsing reward sensitivity reveals distinct relationships with energy intake, metabolic markers, physical activity and fitness.Acta neuropsychiatrica · 2025Article
- The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study.Scientific reports · 2025Article
- The Association Between Lean-to-Fat Mass Ratio and Cardiometabolic Abnormalities: An Analytical Cross-Sectional Study.Journal of clinical medicine research · 2024Article
- Nutrigenomics and redox regulation: Concepts relating to the Special Issue on nutrigenomics.Redox biology · 2023Review
- Age-specific and sex-specific associations of visceral adipose tissue mass and fat-to-muscle mass ratio with risk of mortality.Journal of cachexia, sarcopenia and muscle · 2023Article
- Normative reference data for body composition in healthy indigenous populations on the Qinghai-Tibet Plateau.Frontiers in public health · 2022Article
- The Association between Trajectories of Anthropometric Variables and Risk of Diabetes among Prediabetic Chinese.Nutrients · 2021Article
- Article
- Could Reducing Body Fatness Reduce the Risk of Aggressive Prostate Cancer via the Insulin Signalling Pathway? A Systematic Review of the Mechanistic Pathway.Metabolites · 2021Review
- Childhood Malnutrition and Association of Lean Mass with Metabolome and Hormone Profile in Later Life.Nutrients · 2020Article
- Body Composition and the Components of Metabolic Syndrome in Type 2 Diabetes: The Roles of Disease Duration and Glycemic Control.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- The diabesity epidemic in the light of evolution: insights from the capacity-load model.Diabetologia · 2019Review
- Ancient origins of low lean mass among South Asians and implications for modern type 2 diabetes susceptibility.Scientific reports · 2019Article
- Developmental plasticity as adaptation: adjusting to the external environment under the imprint of maternal capital.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Influence of obesity, parental history of diabetes, and genes in type 2 diabetes: A case-control study.Scientific reports · 2019Article
- Low Maternal Capital Predicts Life History Trade-Offs in Daughters: Why Adverse Outcomes Cluster in Individuals.Frontiers in public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 2 diabetes is rapidly increasing in prevalence worldwide, in concert with epidemics of obesity and sedentary behavior that are themselves tracking economic development. Within this broad pattern, susceptibility to diabetes varies substantially in association with ethnicity and nutritional exposures through the life-course. An evolutionary perspective may help understand why humans are so prone to this condition in modern environments, and why this risk is unequally distributed. A simple conceptual model treats diabetes risk as the function of two interacting traits, namely 'metabolic capacity' which promotes glucose homeostasis, and 'metabolic load' which challenges glucose homoeostasis. This conceptual model helps understand how long-term and more recent trends in body composition can be considered to have shaped variability in diabetes risk. Hominin evolution appears to have continued a broader trend evident in primates, towards lower levels of muscularity. In addition, hominins developed higher levels of body fatness, especially in females in relative terms. These traits most likely evolved as part of a broader reorganization of human life history traits in response to growing levels of ecological instability, enabling both survival during tough periods and reproduction during bountiful periods. Since the emergence of Homo sapiens, populations have diverged in body composition in association with geographical setting and local ecological stresses. These long-term trends in both metabolic capacity and adiposity help explain the overall susceptibility of humans to diabetes in ways that are similar to, and exacerbated by, the effects of nutritional exposures during the life-course.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.