Publications by authors named "Jon Edqvist"

It is unclear how increasing body mass index (BMI) influences risk of cancer in young women. We used data from the Medical Birth, Patient and Cause of Death registers collected between 1982 and 2014 to determine the risk of obesity-related cancer types, breast cancer, all cancer and cancer-related death in relation to BMI in 1,386,725 women, aged between 18 and 45 years, in Sweden. During a median follow-up of 16.

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Background: Estimating excess mortality and years of life lost (YLL) attributed to coronavirus disease 19 (COVID-19) infection provides a comprehensive picture of the mortality burden on society. We aimed to estimate the impact of the COVID-19 pandemic on age- and sex-specific excess mortality and YLL in Sweden during the first 17 months of the pandemic.

Methods: In this population-based observational study, we calculated age- and sex-specific excess all-cause mortality and excess YLL during 2020 and the first 5 months of 2021 and cause-specific death [deaths from cardiovascular disease (CVD), cancer, other causes and deaths excluding COVID-19] in 2020 compared with an average baseline for 2017-19 in the whole Swedish population.

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Article Synopsis
  • Type 2 diabetes significantly increases the risk of hospitalization, intensive care, and death from COVID-19, while the risks for type 1 diabetes are less pronounced and diverging.
  • The study analyzed data from over half a million diabetes patients in Sweden, adjusting for age, socioeconomic factors, and other conditions to assess the impacts of diabetes on COVID-19 outcomes.
  • Results show that while type 1 diabetes patients had a higher chance of hospitalization, they did not face increased risks for ICU care or death compared to those without diabetes.
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  • The study examines how job-related, demographic, and other factors influence the severity of COVID-19 among working-age individuals in Sweden.
  • It analyzes data from over 6 million Swedes from January 2020 to February 2021, finding that essential and blue-collar workers face higher risks of severe COVID-19 compared to those who can work from home.
  • Key findings include that non-Nordic individuals and certain occupations accounted for significant percentages of intensive care needs and deaths, with overall low mortality rates among the studied population.
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Background: Exposure to many contacts is the main risk factor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, while risk of serious disease and death is chiefly determined by old age and comorbidities. Relative and population-attributable fractions (PAFs) of multiple medical and social exposures for COVID-19 outcomes have not been evaluated among older adults.

Objectives: We describe the effect of multiple exposures on the odds of testing positive for the virus and of severe disease (hospital care or death) and PAFs in Swedish citizens aged 55 years and above.

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Article Synopsis
  • Adolescent obesity significantly increases the risk of developing type 2 diabetes later in life, with notably higher risks for those with a BMI of 35 kg/m or more.
  • A study involving over 1.6 million men showed that higher adolescent BMI corresponds to earlier onset of diabetes and worsened metabolic control.
  • The findings indicate that young men with greater BMI not only face a higher chance of diabetes diagnosis but also experience more complications, like increased HbA1c levels and higher albuminuria rates.
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Introduction: In type 1 diabetes, potential loss of life-years is greatest in those who are youngest at the time of onset. Using data from a nationwide cohort of patients with type 1 diabetes, we aimed to study risk factor trajectories by age at diagnosis.

Research Design And Methods: We stratified 30 005 patients with type 1 diabetes aged 18-75 years into categories based on age at onset: 0-10, 11-15, 16-20, 21-25, and 26-30 years.

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Background Body mass index (BMI) may be a stronger risk factor for heart failure than for coronary heart disease in type 2 diabetes mellitus, but prior studies have not been powered to investigate the relative and absolute risks for acute myocardial infarction and heart failure in type 2 diabetes mellitus by BMI and glycemic level combined as compared with age- and sex-matched general population comparators. Methods and Results We identified 181 045 patients from The Swedish National Diabetes Registry, registered during 1998 to 2012 and 1538 434 general population comparators without diabetes mellitus, matched for age, sex, and county, all without prior major cardiovascular disease. Cases and comparators were followed with respect to the outcomes through linkage to the Swedish Inpatient Registry.

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Objective: Low weight has been associated with increased mortality risks in type 1 diabetes. We aimed to investigate the importance of weight and weight gain/loss in the Swedish population diagnosed with type 1 diabetes.

Research Design And Methods: Patients with type 1 diabetes ( = 26,125; mean age 33.

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Aims/hypothesis: Type 2 diabetes is an established risk factor for heart failure, but age-specific data are sparse. We aimed to determine excess risk of heart failure, based on age, glycaemic control and kidney function in comparison with age- and sex-matched control individuals from the general population.

Methods: Individuals with type 2 diabetes registered in the Swedish National Diabetes Registry 1998-2012 (n = 266,305) were compared with age-, sex- and county-matched control individuals without diabetes (n = 1,323,504), and followed over a median of 5.

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Objective: Type 2 diabetes is strongly associated with obesity, but the mortality risk related to elevated body weight in people with type 2 diabetes compared with people without diabetes has not been established.

Research Design And Methods: We prospectively assessed short- and long-term mortality in people with type 2 diabetes with a recorded diabetes duration ≤5 years identified from the Swedish National Diabetes Register (NDR) between 1998 and 2012 and five age- and sex-matched control subjects per study participant from the general population.

Results: Over a median follow-up of 5.

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