ArticleInternational journal of obesity (2005)2026
Anthropometric percentiles for Peruvian adults: population reference curves for body mass index, waist circumference, and waist-to-height ratio.
Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCurrent anthropometric cut-off points for defining overweight, obesity, and abdominal obesity are based on predominantly Caucasian populations, raising questions about their applicability in ethnically and geographically diverse populations such as the Peruvian population. The lack of population-specific references limits the appropriate assessment of anthropometric distributions and cardiometabolic risk in Peruvian adults.
objectiveTo develop body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) percentile curves specific for the Peruvian adult population, stratified by age and sex.
methodsAnalytical cross-sectional study based on data from the Demographic and Family Health Survey (DHS) 2015 to 2023. From an initial sample of 385,247 adults aged 20-97 years, 164,513 participants with complete anthropometric measurements and plausible values were included in the final analysis. Percentiles (P5, P10, P25, P50, P75, P85, P90, P95, P97) were calculated using the LMS (Lambda-Mu-Sigma) method for BMI, WC, and WHtR by five-year age groups and sex.
resultsThe final sample included 164,513 participants (48.52% women, 51.48% men) with a mean (±standard deviation, SD) age of 44.38 ± 16.72 years. Mean BMI was 27.77 ± 4.80 kg/m². The prevalence of overweight was 42.16% and obesity 28.09% according to BMI criteria. Abdominal obesity varied dramatically according to the criterion used: 44.75% (ATP III) versus 68.31% (IDF) for WC, highlighting the problem of universal cut-off points. Sex-specific percentiles showed distinctive age patterns with increases until middle age followed by gradual decline. Altitude differences were clinically significant: 2.5-3.0 kg/m² for BMI, 4-6 cm for WC, and 0.04-0.06 units for WHtR between sea level versus high altitude (≥3000 m).
conclusionsAge- and sex-specific anthropometric percentiles reveal distinctive age patterns that differ substantially from international cut-off points. Classical criteria for abdominal obesity (ATP III, IDF) and WHtR (≥0.5) systematically overestimate prevalence in the Peruvian population, with discrepancies reaching differences of up to 23.5 percentage points between criteria. Altitude differences are clinically significant, suggesting specific physiological adaptations in Andean populations.
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.