Back

Years Lived without Chronic Diseases after Statutory Retirement - A Register Linkage Follow-up Study in Finland 2000-2021

Pietilainen, O.; Salonsalmi, A.; Rahkonen, O.; Lahelma, E.; Lallukka, T.

2026-04-13 public and global health
10.64898/2026.04.12.26348889 medRxiv
Show abstract

Objectives: Longer lifespans lead to longer time on retirement, despite the efforts to raise the retirement age. Therefore, it is important to study how the retirement years can be spent without diseases. This study examined socioeconomic and sociodemographic differences in healthy years spent on retirement. Methods: We followed a cohort of retired Finnish municipal employees (N=4231, average follow-up 15.4 years) on national administrative registers for major chronic diseases: cancer, coronary heart disease, cerebrovascular disease, diabetes, asthma or chronic obstructive pulmonary disease, dementia, mental disorders, and alcohol-related disorders. Median healthy years on retirement and age at first occurrence of illness (ICD-10 and ATC-based) in each combination of sex, occupational class, and age of retirement were predicted using Royston-Parmar models. Prevalence rates for each diagnostic group were calculated. Results: Most healthy years on retirement were spent by women having worked in semi-professional jobs who retired at age 60-62 (median predicted healthy years 11.6, 95% CI 10.4-12.7). The least healthy years on retirement were spent by men having worked in routine non-manual jobs who retired after age 62 (median predicted healthy years 6.5, 95% CI 4.4-9.5). Diabetes was slightly more common among lower occupational class women, and dementia among manual working women having retired at age 60-62. Discussion: Healthy years on retirement are not enjoyed equally by women and men and those who retire early or later. Policies aiming to increase the retirement age should consider the effects of these gaps on retirees and the equitability of those effects.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 9%
18.9%
2
European Journal of Public Health
20 papers in training set
Top 0.1%
4.9%
3
Scientific Reports
3102 papers in training set
Top 23%
4.9%
4
International Journal of Environmental Research and Public Health
124 papers in training set
Top 1%
4.2%
5
Occupational and Environmental Medicine
15 papers in training set
Top 0.1%
4.2%
6
International Journal of Public Health
17 papers in training set
Top 0.1%
4.0%
7
Journal of Occupational & Environmental Medicine
17 papers in training set
Top 0.1%
3.6%
8
Social Science & Medicine
15 papers in training set
Top 0.2%
3.6%
9
BMC Public Health
147 papers in training set
Top 2%
3.6%
50% of probability mass above
10
Journal of Public Health
23 papers in training set
Top 0.1%
3.6%
11
Journal of Epidemiology and Community Health
32 papers in training set
Top 0.2%
3.1%
12
BMC Geriatrics
15 papers in training set
Top 0.2%
2.4%
13
BMC Medicine
163 papers in training set
Top 3%
1.9%
14
BMJ Open
554 papers in training set
Top 8%
1.9%
15
Aging
69 papers in training set
Top 1%
1.7%
16
Demographic Research
11 papers in training set
Top 0.1%
1.7%
17
International Journal of Epidemiology
74 papers in training set
Top 1%
1.7%
18
Frontiers in Public Health
140 papers in training set
Top 5%
1.5%
19
Experimental Gerontology
11 papers in training set
Top 0.2%
1.3%
20
Public Health
34 papers in training set
Top 1.0%
1.2%
21
JMIR Public Health and Surveillance
45 papers in training set
Top 3%
1.1%
22
The Lancet Regional Health - Europe
32 papers in training set
Top 0.3%
0.9%
23
International Journal of Behavioral Nutrition and Physical Activity
15 papers in training set
Top 0.5%
0.8%
24
Frontiers in Psychiatry
83 papers in training set
Top 3%
0.8%
25
The Journals of Gerontology: Series A
25 papers in training set
Top 0.8%
0.8%
26
International Journal of Cancer
42 papers in training set
Top 1%
0.8%
27
The Lancet Public Health
20 papers in training set
Top 0.7%
0.8%
28
Preventive Medicine
11 papers in training set
Top 0.4%
0.7%
29
JAMA Network Open
127 papers in training set
Top 5%
0.6%
30
Frontiers in Neurology
91 papers in training set
Top 6%
0.6%