Evidence map›Paper›PMID 42676328›Full record

ArticleFrontiers in psychology2026

The science of variation in gratitude: demographic variable-based variations in gratitude among Indians.

Pragya Kasana, Naval Garg, Freda Van Der Walt

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Pragya KasanaDelhi Technological University, Delhi, India.
Naval GargNetaji Subhas University of Technology, Delhi, India.
Freda Van Der WaltCentral University of Technology Free State, Bloemfontein, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gratitude plays a vital role in human well-being, influencing emotional resilience, social relationships, and overall life satisfaction. Yet its cultural and demographic dimensions remain underexplored. This study assesses gratitude levels using the Hindu Gratitude Scale (HGS) across five dimensions which are parents, God, teachers, fellow human beings, and ecosystem and examines demographic variations in gratitude expression selected through purposive sampling for diverse inclusion of population with a sample size of 2,920. The study investigates how age, gender, education, marital status, occupation, income, and family structure shape gratitude expression in individuals. Findings reveal older adults show higher gratitude than middle-aged individuals. Also, people living in rural area exhibits greater gratitude than urban populations. As per as education qualifications are concerned, gratitude of respondents decrease with their education level. Married individuals show greater gratitude than separated individuals. Occupational and income differences also emerge, with government employees and students expressing more gratitude than private-sector workers and freelancers. The extended and joint family structure showed a higher level of gratitude than the nuclear. The results also found that there is no variation in level of gratitude on the basis of gender. This study explores the level of gratitude in the Indian context, contrasting with Western individualistic perspectives. Insights are useful for further cultural studies, framing inclusive educational policies, and workplace well-being programs. Future research should explore cross-cultural and longitudinal trends in gratitude in terms of diversified population and its evolving nature with each individual.

Indexed as

agedemographic analysisgendergratitudeKṛtagyatā

Identifiers

PMID42676328
PMCPMC13526571

What OpenQuestion holds

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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.