Evidence mapPaperPMID 41301945Full record

ReviewAnimals : an open access journal from MDPI2025

What Drives Pet Food Choices? A Systematic Literature Review.

Chen Ai, Faical Akaichi, Klaus Glenk, Cesar Revoredo-Giha, Montserrat Costa-Font

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 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. 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

5 authors.

Chen AiSchool of Natural and Social Sciences, Scotland's Rural College, West Mains Road, Edinburgh EH9 3JG, UK.ORCID 0009-0001-7155-5009
Faical AkaichiSchool of Natural and Social Sciences, Scotland's Rural College, West Mains Road, Edinburgh EH9 3JG, UK.ORCID 0000-0003-0395-2368
Klaus GlenkSchool of Natural and Social Sciences, Scotland's Rural College, West Mains Road, Edinburgh EH9 3JG, UK.ORCID 0000-0002-2472-0235
Cesar Revoredo-GihaSchool of Natural and Social Sciences, Scotland's Rural College, West Mains Road, Edinburgh EH9 3JG, UK.ORCID 0000-0001-9890-4160
Montserrat Costa-FontSchool of Natural and Social Sciences, Scotland's Rural College, West Mains Road, Edinburgh EH9 3JG, UK.ORCID 0000-0001-6796-0813

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of the global pet food industry has intensified interest in understanding the factors shaping pet owners' purchasing decisions. This systematic literature review synthesises evidence from 40 peer-reviewed studies published between 2006 and 2024 to identify the key drivers of consumer behaviour toward commercial pet food. Following PRISMA guidelines, articles were retrieved from Scopus, Web of Science, and Google Scholar. Findings reveal six main categories influencing purchasing behaviour: intrinsic and extrinsic product characteristics, psychological, biological and physiological, sociocultural, and situational factors. Product quality, ingredient composition, price, brand reputation, sustainability, and pet health status emerged as consistent determinants of choice. The review highlights that consumer behaviour toward pet food remains a developing research field with limited cross-regional studies and methodological diversity. Future research should expand geographically and explore the intersection of sustainability, pet welfare, and owner psychology in pet food decision-making.

Indexed as

attitudesdriverspet foodpet ownerspreferences

Identifiers

PMID41301945
PMCPMC12649392

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.