Evidence map›Paper›PMID 40727220›Full record

ArticleThe Lancet regional health. Southeast Asia2025

Quantification of regional variation in ultra-processed food consumption and its sociodemographic correlates across Bangladesh, India, Pakistan, and Sri Lanka: insights from the South Asia Biobank.

Divya Bhagtani, Jean Adams, Fumiaki Imamura, Anwesha Lahiri, Rajendra Pradeepa, Sara Mahmood, Abu Ahmed Shamim, Fahmida Akter, Menka Loomba, Lathika Athauda and 10 more

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Sociodemographic factors and salt consumption in Sri Lanka: awareness of salt intake recommendations as a mediator.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Divya BhagtaniMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge, UK.
Jean AdamsMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge, UK.
Fumiaki ImamuraMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge, UK.
Anwesha LahiriMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge, UK.
Rajendra PradeepaMadras Diabetes Research Foundation, Chennai, India.
Sara MahmoodDepartment of Endocrinology & Metabolism, Services Institute of Medical Sciences, Services Hospital, Lahore, Pakistan.
Abu Ahmed ShamimCentre for Non-Communicable Diseases and Nutrition (CNCDN), BRAC James P Grant of Public Health, BRAC University, Dhaka, Bangladesh.
Fahmida AkterCentre for Non-Communicable Diseases and Nutrition (CNCDN), BRAC James P Grant of Public Health, BRAC University, Dhaka, Bangladesh.
Menka LoombaOffice of Research, Max Super Speciality Hospital (Devki Devi Foundation), New Delhi, India.
Lathika AthaudaDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Laksara De SilvaDepartment of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Khadija I KhawajaDepartment of Endocrinology & Metabolism, Services Institute of Medical Sciences, Services Hospital, Lahore, Pakistan.
Sajjad AhmadPunjab Institute of Cardiology, Lahore, Pakistan.
Vinitaa JhaOffice of Research, Max Super Speciality Hospital (Devki Devi Foundation), New Delhi, India.
Anuradhani KasturiratneDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Prasad KatulandaDepartment of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Malay K MridhaCentre for Non-Communicable Diseases and Nutrition (CNCDN), BRAC James P Grant of Public Health, BRAC University, Dhaka, Bangladesh.
Ranjit M AnjanaMadras Diabetes Research Foundation, Chennai, India.
John C ChambersDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Nita G ForouhiMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, School of Clinical Medicine, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sales of ultra-processed foods (UPFs) are rising in South Asia, yet UPF consumption and its sociodemographic determinants remain largely unknown. We aimed to quantify UPF consumption and investigate its sociodemographic correlates in four countries of South Asia. Methods: Between January 2020 and September 2022, the South Asia Biobank recruited 63,914 participants aged 18 years or older who were resident in Bangladesh, Pakistan, Sri Lanka, and North and South India, and self-reported as being of South Asian ethnicity. We analysed data from 60,714 eligible adults. Dietary consumption was assessed using interviewer-led 24-h recalls. Foods were classified by their degree of processing using the NOVA classification. Two-part multivariable-adjusted regression models examined associations of sociodemographic factors with the likelihood and quantity of UPF consumption. Findings: In Bangladesh, Sri Lanka, and North India, ∼75% of participants reported consuming UPFs during the previous day, versus 41% in South India and Pakistan. Among consumers, UPFs contributed 13-17% of total energy intake, with biscuits being a common source across regions. Other UPFs included sweetened beverages in Pakistan, packaged salty snacks in South India, and breakfast cereals in Bangladesh. Younger age was associated with UPF consumption in Pakistan and Sri Lanka whereas in Bangladesh and North India, older age was. Women were more likely to consume UPFs in all regions except Bangladesh. In Bangladesh, Pakistan, and North India, any level of education above none (i.e., primary, secondary, or higher) was associated with UPF consumption. Among consumers, UPF consumption was lower in married or cohabiting than single people, in all regions. UPF consumption was higher in rural versus urban residents in Bangladesh and Sri Lanka but lower in Pakistan. Interpretation: UPF consumption varied across South Asia by sociodemographic factors including age, gender, and education. Understanding this heterogeneity is crucial when designing interventions aimed at reducing UPF consumption. Our findings of regional variations in the types of UPFs consumed provide valuable insights for targeted interventions. Funding: The South Asia Biobank is funded by the National Institute for Health Research.

Indexed as

Sociodemographic factorsSouth AsiaUltra-processed foods

Identifiers

PMID40727220
PMCPMC12302672

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.