Association of adiposity with morbidity in Finnish adults: A register-based follow-up study

Abstract

Aims: The aims of this study were to update risk estimates of obesity related co-morbidities and to provide evidence of the importance of obesity prevention to decision makers. Methods: The study included 25- to 74-year-old participants ( N=22,977) of the National FINRISK Studies in 1997, 2002 and 2007. Body mass index was calculated from measured weight and height at baseline. Data on morbidity were ascertained via linkage to the National Hospital Discharge Register, the Cancer Register and the records of the Social Insurance Institution of Finland until the end of year 2018. The Cox proportional hazards model was used to estimate associations between weight status and the risk of the end-point diseases during follow-up, with adjustment for age and smoking. Results: At baseline, 31% of participants had at least one of the investigated diseases. Overweight, obesity and severe obesity were associated with type 2 diabetes, gout, gallbladder diseases and knee and hip osteoarthritis during the follow-up in both men and women. The risk of coronary heart disease was increased in men who were overweight, obese and severely obese and in women who were obese and severely obese. Risk of asthma was increased only among women who were obese and severely obese. No associations were found between obesity and breast, prostate or colorectal cancer. Conclusions: The study showed a strong relationship between excess body weight and the prevalence and incidence of several diseases. Obesity prevention is essential to reduce disease burden in the future.

Development of non-communicable disease risk factors in Finland: projections up to 2040

“…A future increase in individual risk factors may result in a substantial increase in disease incidence at the population level. For example, it has been shown in Finland during a 10-year follow-up that overweight people have a three times higher risk of diabetes than normal-weight people [30]. In further studies, risk factor projections could be translated to project disease incidence.…”