Prevalence and time trends of overweight, obesity and severe obesity in 447,925 Swedish adults, 1995-2017.

Erik Hemmingsson, ��rjan Ekblom, Lena V Kallings, Gunnar Andersson, Peter Wallin, Jonas S��derling, Victoria Blom, Bj��rn Ekblom, Elin Ekblom-Bak
Author Information
  1. Erik Hemmingsson: ��strand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, Stockholm, Sweden. ORCID
  2. ��rjan Ekblom: ��strand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, Stockholm, Sweden.
  3. Lena V Kallings: ��strand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, Stockholm, Sweden.
  4. Gunnar Andersson: Health Profile Institute, Stockholm, Sweden.
  5. Peter Wallin: Health Profile Institute, Stockholm, Sweden.
  6. Jonas S��derling: Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
  7. Victoria Blom: ��strand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, Stockholm, Sweden. ORCID
  8. Bj��rn Ekblom: ��strand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, Stockholm, Sweden.
  9. Elin Ekblom-Bak: ��strand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, Stockholm, Sweden.

Abstract

: The purpose of this research was to describe the current prevalence and historic trends in overweight, obesity and severe obesity in Sweden. : Data on BMI, age, gender, education and geographic region were obtained in =447,925 Swedish adults through a nationwide screening test (1995-2017). To account for sampling variations, we quantified prevalence estimates and time trends using standardized values (direct method) to all 18-74-year-old Swedes, using nationwide databases. Rates of overweight (BMI ���25 kg/m), obesity (BMI ���30 kg/m) and severe obesity (BMI ���35 kg/m) were calculated across gender, age, education and geographic categories. Years were grouped into two-year sampling periods (except the first period where we used three years) for increased power. We used multivariable logistic regression to quantify independent associations between age, gender, education and region with obesity development and current prevalence rates. : In 2016/17 the unstandardized prevalence of overweight, obesity and severe obesity were 55.1%, 16.6% and 4.2%, respectively. Factors associated with a higher obesity prevalence were male gender, older age, lower education and residing in a rural region (all <0.001). Between 1995 and 2017 the prevalence of severe obesity increased by 153%, compared to obesity (+86%) and overweight (+23%). While there were similar increases in obesity across gender and age groups, people with low education (vs high) and rural areas (vs urban) had a higher prevalence increase (both <0.001). .

Keywords

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MeSH Term

Adolescent
Adult
Aged
Female
Humans
Male
Middle Aged
Obesity
Obesity, Morbid
Overweight
Prevalence
Socioeconomic Factors
Sweden
Time Factors
Young Adult

Word Cloud

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