Non-random patterns in the co-occurrence and accumulation of adverse life events in two national panel datasets

Adverse life events (ALEs), such as illness, bereavement, and accidents, can have profound consequences for physical and mental health. Although existing research highlights risk factors for ALEs, such as personality and socioeconomic status, less is known about patterns in ALEs themselves. How do events cluster and accumulate over time? Using generalized linear mixed-effects models, we study yearly self-reported ALEs in two panel datasets, the Swiss Household Panel (n = 16,946, 210,031 person-years) and the Household, Income and Labour Dynamics in Australia (n = 25,803, 113,605 person-years). We identify widespread contemporaneous and lag-1 associations between ALEs. The twenty-year accumulation of ALE counts deviates substantially from a random process and is better described by a self-reinforcing process, in which ALEs increase the risk of future ALEs. For all analyses, differences between individuals and households were stronger predictors of event occurrence than concurrent or prior adverse life events. Non-random patterns in ALEs should inform our conceptual and statistical models, as well as our prevention strategies.

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Publication Details

Journal
Communications Psychology
Published
2026-02-27
DOI
https://doi.org/10.1038/s44271-026-00394-y
Primary Topic
Health disparities and outcomes
Type
article
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article

Non-random patterns in the co-occurrence and accumulation of adverse life events in two national panel datasets

Fred Hasselman, Frantis̆ek Bartos̆, Kyra Evers, Eiko Fried et al.
Communications Psychology
Health disparities and outcomes
article

Non-random patterns in the co-occurrence and accumulation of adverse life events in two national panel datasets

Fred Hasselman, Frantis̆ek Bartos̆, Kyra Evers, Eiko Fried, Lourens Waldorp
article en

Abstract

Adverse life events (ALEs), such as illness, bereavement, and accidents, can have profound consequences for physical and mental health. Although existing research highlights risk factors for ALEs, such as personality and socioeconomic status, less is known about patterns in ALEs themselves. How do events cluster and accumulate over time? Using generalized linear mixed-effects models, we study yearly self-reported ALEs in two panel datasets, the Swiss Household Panel (n = 16,946, 210,031 person-years) and the Household, Income and Labour Dynamics in Australia (n = 25,803, 113,605 person-years). We identify widespread contemporaneous and lag-1 associations between ALEs. The twenty-year accumulation of ALE counts deviates substantially from a random process and is better described by a self-reinforcing process, in which ALEs increase the risk of future ALEs. For all analyses, differences between individuals and households were stronger predictors of event occurrence than concurrent or prior adverse life events. Non-random patterns in ALEs should inform our conceptual and statistical models, as well as our prevention strategies.

Communications Psychology
Leiden University (NL), Radboud University Nijmegen (NL), University of Amsterdam (NL)
Decent work and economic growth, No poverty
Openalex Percentile: Top 52%
Health disparities and outcomes
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