Evidence map›Paper›PMID 39829949›Full record

ArticleSSM - population health2025

Income rank and life satisfaction: Examining the relationship with wealth inequality among middle-aged and older indian adults.

Tapasya Raj, Srikanth Reddy Umenthala

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Tapasya RajUniversity of Strasbourg, Strasbourg, France.
Srikanth Reddy UmenthalaOne Health Trust, Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between income and subjective well-being (SWB) has intrigued scholars for decades. Richard Easterlin's groundbreaking research in the 1970s revealed a paradox: while higher individual incomes within countries are associated with greater happiness, this trend does not hold across countries. This paradox highlights the significance of relative income over absolute income. Subsequent research has consistently demonstrated that relative income, or one's income rank compared to others, has a more substantial impact on happiness than absolute income. Studies across various contexts have corroborated this finding, emphasizing the importance of social comparisons and status. This study investigates how wealth inequality moderates the association between income rank and life satisfaction in India. Utilizing data from the Longitudinal Ageing Survey of India (LASI), we examine how regional wealth inequality influences the relationship between income rank and well-being. Our analysis reveals that higher relative rank is associated with increased life satisfaction, while greater wealth inequality diminishes it. The interaction between income rank and wealth inequality is significant, indicating that relative income matters more in highly unequal regions. India's vast economic growth and rising inequality make it a crucial case for understanding global inequality dynamics. Our findings suggest that in regions with higher wealth inequality, the association between relative rank on life satisfaction is magnified, highlighting the importance of social comparisons in well-being assessments. This research contributes to the broader discourse on income, inequality, and well-being, offering insights into a non-WEIRD (Western, Educated, Industrialized, Rich, and Democratic) context and emphasizing the relevance of relative rank in shaping life satisfaction.

Indexed as

Income rankInequalityLife satisfactionWell-being

Identifiers

PMID39829949
PMCPMC11742318

What OpenQuestion holds

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LicenceCC BY-NC
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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.