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Mika Kivimaeki
1,536Publications
122H-index
72.7kCitations
Publications 1584
Newest
#1Jaakko Airaksinen (UH: University of Helsinki)H-Index: 1
#2Kia Gluschkoff (UH: University of Helsinki)H-Index: 3
Last.Markus Jokela (UH: University of Helsinki)H-Index: 51
view all 4 authors...
Abstract Background Many chronic diseases increase the risk of depressive symptoms, but few studies have examined whether these diseases also affect the composition of symptoms a person is likely to experience. As the risk and progression of depression may vary between chronic diseases, we used network analysis to examine how depression symptoms are connected before and after the diagnosis of diabetes, heart disease, stroke, and cancer. Methods Participants (N=7779) were from the longitudinal su...
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#1Manasa S. Yerramalla (University of Paris)
#2Aurore Fayosse (University of Paris)H-Index: 5
Last.Séverine Sabia (UCL: University College London)H-Index: 37
view all 7 authors...
Aims/hypothesis This work examined the role of physical activity in the course of diabetes using data spanning nearly three decades. Our first aim was to examine the long-term association of moderate and vigorous physical activity with incidence of type 2 diabetes. Our second aim was to investigate the association of moderate-to-vigorous physical activity post-diabetes diagnosis with subsequent risk of all-cause and cardiovascular disease mortality.
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#1Jaana I. HalonenH-Index: 17
#2Jaana I. Halonen (Stockholm University)H-Index: 1
Last.Tea LallukkaH-Index: 38
view all 11 authors...
Abstract Background Uncertainty remains whether associations for psychological distress and sickness absence (SA) observed between and within individuals differ, and whether age, gender and work-related factors moderate these associations. Methods We analyzed SA records of 41,184 participants of the Finnish Public Sector study with repeated survey data between 2000 and 2016 (119,024 observations). Psychological distress was measured by the General Health Questionnaire (GHQ-12), while data on SA ...
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#1Jaakko AiraksinenH-Index: 4
#2Jaakko AiraksinenH-Index: 1
Last.Mika KivimaekiH-Index: 122
view all 5 authors...
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#1Maarit Jaana Korhonen (Monash University)H-Index: 22
#2Jaana Pentti (UH: University of Helsinki)H-Index: 57
Last.Jussi Vahtera (UTU: University of Turku)H-Index: 86
view all 8 authors...
Background Lifestyle modification is a key component of cardiovascular disease prevention before and concurrently with pharmacologic interventions. We evaluated whether lifestyle factors change in ...
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#1Sari Stenholm (TYKS: Turku University Hospital)H-Index: 29
#2Marianna Virtanen (Stockholm University)H-Index: 61
Last.Jussi Vahtera (TYKS: Turku University Hospital)H-Index: 86
view all 6 authors...
Objectives Previous studies have produced conflicting findings on the health consequences of retirement. We aimed at identifying trajectories of self-rated health over retirement transition using repeated measurements and examined which preretirement factors predicted membership to each trajectory. Methods The study population consisted of Finnish public sector employees from two independent cohorts (Finnish Public Sector Study (FPS), n=5776 with a 4-year follow-up interval; and Finnish Retireme...
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#1Paolo Vineis (Imperial College London)H-Index: 113
#2Cyrille Delpierre (University of Toulouse)H-Index: 22
Last.Michelle Kelly-Irving (University of Toulouse)H-Index: 16
view all 9 authors...
Abstract Rationale Socioeconomic disparities have been documented in major non-communicable diseases and in their risk factors, such as obesity, hypertension, diabetes, smoking, physical inactivity, unhealthful diet and heavy drinking. However, a key research question has remained unanswered: is there a separate biological embodiment of socio-economic conditions underlying health disparities, additional and independent of those risk factors? As lifelong socioeconomic circumstances cannot be rand...
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#1de Lange A-Mg. (University of Oxford)H-Index: 1
#2Melis AnatürkH-Index: 1
Last.Archana Singh-ManouxH-Index: 72
view all 13 authors...
Brain age is becoming a widely applied imaging-based biomarker of neural aging and potential proxy for brain integrity and health. We estimated multimodal and modality-specific brain age in the Whitehall II MRI cohort using machine learning and imaging-derived measures of gray matter morphology, diffusion-based white matter microstructure, and resting state functional connectivity. Ten-fold cross validation yielded multimodal and modality-specific brain age estimates for each participant, and ad...
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#1Roshni Joshi (UCL: University College London)
#2S. Goya Wannamethee (UCL: University College London)H-Index: 69
Last.Nishi Chaturvedi (UCL: University College London)H-Index: 20
view all 18 authors...
AimsElevated low-density lipoprotein cholesterol (LDL-C) is a risk factor for cardiovascular disease; however, there is uncertainty about the role of total triglycerides and the individual triglyce...
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