Evidence map›Paper›PMID 38966105›Full record

ArticleBMJ nutrition, prevention & health2024

Relationship between consumption of high fat, sugar or sodium (HFSS) food and obesity and non-communicable diseases.

Sasinee Thapsuwan, Sirinya Phulkerd, Aphichat Chamratrithirong, Rossarin Soottipong Gray, Nongnuch Jindarattanaporn, Nutnicha Loyfah, Natjera Thongcharoenchupong, Umaporn Pattaravanich

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Sasinee ThapsuwanInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0000-0002-7967-2779
Sirinya PhulkerdInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0000-0001-9373-3120
Aphichat ChamratrithirongInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0000-0001-5094-8770
Rossarin Soottipong GrayInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0000-0002-9877-8253
Nongnuch JindarattanapornInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0000-0002-6241-7851
Nutnicha LoyfahInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0009-0002-6445-600X
Natjera ThongcharoenchupongInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0000-0001-6281-7241
Umaporn PattaravanichInstitute for Population and Social Research, Mahidol University, Phuttamonthon, Nakorn Pathom, Thailand.ORCID 0000-0002-3750-9172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to investigate the relationship between high in fat, sugar or salt consumption, obesity and non-communicable diseases (NCDs) in the population in Thailand, and other associated factors. This study used data from participants age 15 years or older from the 2021 Health Behaviour of Population Survey. The final analytical sample included 74 894 respondents with complete data. Binary logistic regression analysis was used to investigate the relationship between socio-demographic characteristics, unhealthy food, NCDs and obesity. People with obesity had the significant ORs for sugar-sweetened beverages or SSB (OR 1.208; 95% CI 1.159 to 1.259), high-fat foods (OR 1.162; 95% CI 1.120 to 1.207) and snacks (OR 1.048; 95% CI 1.004 to 1.093), but had the significant protective ORs for meat products (OR 0.964; 95% CI 0.930 to 0.999), instant food (OR 0.903; 95% CI 0.865 to 0.942) and fast food (OR 0.871; 95% CI 0.831 to 0.913). People with any NCDs had the significant protective ORs for meat products (p≤0.001), instant food (p≤0.05) and fast food (p≤0.01). People with diabetes tended not to drink SSB while people with heart disease tended not to consume SSB and snacks. The findings suggest a need for prevention and control strategies such as promoting healthy snacking behaviour, modifying food environments and paying specific attention to the population most at risk of obesity and NCDs.

Indexed as

Diabetes mellitus

Identifiers

PMID38966105
PMCPMC11221281

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Registered trials

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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.