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. 2025 Aug 2:87:103396.
doi: 10.1016/j.eclinm.2025.103396. eCollection 2025 Sep.

Disease accumulation and distribution across the lifespan in Swedish centenarians and non-centenarians: a nationwide life course comparison of longevity and health resilience

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Disease accumulation and distribution across the lifespan in Swedish centenarians and non-centenarians: a nationwide life course comparison of longevity and health resilience

Yuge Zhang et al. EClinicalMedicine. .

Abstract

Background: Previous research suggests that centenarians reach exceptional ages primarily by avoiding major diseases rather than surviving them. However, how they manage multiple conditions over the life course remains less understood. Examining the accumulation and distribution of diseases across lifespan can provide insights into mechanisms underlying their resilience.

Methods: We conducted a nationwide historical prospective study including all individuals born in Sweden between 1920 and 1922 (n = 274,108), tracking their health from age 70 for up to 30 years. Disease trajectories of centenarians were compared to those of shorter-lived peers using national health registers. We analysed disease burden, the rate of disease accumulation, and patterns of multimorbidity across age groups.

Findings: Centenarians had fewer diagnosed conditions and accumulated diseases at a slower rate than non-centenarians. Cardiovascular diseases were the most common diagnoses in all age groups, but contributed less to the overall disease burden among centenarians. In contrast, malignancies accounted for a relatively larger share of their disease profile. Neuropsychiatric conditions were consistently less common among centenarians, showing the largest relative difference across all ages. Centenarians also had fewer co-occurring diseases and were more likely to have conditions confined to a single disease group.

Interpretation: Our findings of a lower overall disease burden, a delayed onset of multiple conditions, and fewer co-occurring diseases over time among centenarians (compared to non-centenarians) suggest a preserved homeostatic capacity and sustained functional integrity in the face of cumulative physiological stressors. Future research should aim to identify genetic, epigenetic, and environmental factors underlying these patterns to inform early-life preventive strategies that promote longevity and resilience.

Funding: Karolinska Institutet.

Keywords: Birth cohort; Centenarians; Health resilience; Longevity; Multimorbidity; Prevalence.

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Conflict of interest statement

YZ declares support from internal KID funding, a block grant for partial funding of doctoral education from Karolinska Institutet. KM declares research project grant from Swedish Research Council for Health, Working Life and Welfare (FORTE) and being a board member of the National Screening Board at the Swedish National Board of Health and Welfare during the past 36 months. All other authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Disease accumulation from age 70 (A) and proportion of individuals with 0 to >5 diseases by age at death (B), birth cohorts 1920–1922, Sweden. Note: The numbers by each line in panel (A) represent age at death. The numbers in different coloured areas in panel (B) represent numbers of diseases.
Fig. 2
Fig. 2
The absolute (A) and relative (B) contribution of different disease groups to the average number of diseases at ages 70, 80 and 90 for individuals with different lifespans (x-axis), birth cohorts 1920–1922, Sweden. Note: Diseases are presented in descending order, ranked from highest to lowest in terms of composition and proportion, from bottom to top.
Fig. 3
Fig. 3
Prevalence of disease groups (y-axis) and prevalence of combinations of disease groups (x-axis) at ages 70 (A) and 80 (B) for individuals reaching average lifespan (dying at age 85) and becoming centenarians, birth cohorts 1920–1922, Sweden. Note: The x-axis represents the prevalence of the 45 most common disease existence patterns, ranked in descending order. Disease existence patterns are displayed using dots in different colours (single disease in black, 2 in dark blue, 3 in grey blue, 4 in sky blue). Only disease combination with a prevalence of 0.1% and higher are included in the figure.

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