Background: Earlier studies have estimated the impact of increased body mass index (BMI) on healthcare costs. Various methods have been used to avoid potential biases and inconsistencies. Each of these methods measure different local effects and have different strengths and weaknesses.
View Article and Find Full Text PDFScand J Prim Health Care
December 2023
Objective: To describe the frequency and content of contacts with general practitioners (GPs) among youth and young adults by sex, age and time, emphasizing mental health, sexual health and respiratory tract infections.
Design: Registry-based population-wide cohort study.
Setting: General practice in Norway 2006-2021.
Objective: To evaluate the long-term effects of a multilevel community intervention to improve the quality of prescription practice of potentially addictive medications (PAMs).
Design: We conducted a retrospective study, using anonymized data from the Norwegian prescription registry.
Setting: Based on an initiative from the GPs in Molde Municipality in Norway, a multilevel community intervention was initiated by the municipal chief physician in 2018.
Objectives: To estimate the impact of altering referral thresholds from out-of-hours services on older patients' further use of health services and risk of death.
Design: Cohort study using patient data from primary and specialised health services and demographic data from Statistics Norway and the Norwegian Cause of Death Registry.
Setting: Norway PARTICIPANTS: 491 653 patients aged 65 years and older contacting Norwegian out-of-hours services between 2008 and 2016.
Objective: To explore Norwegian general practitioners' (GPs) experiences with the changes in the cervical cancer screening programme and to uncover which aspects of the programme they find most challenging.
Design: We conducted an electronic cross-sectional survey.
Setting: Norwegian GPs were invited to participate in the survey between February and September in 2020.
Background: Past studies have found associations between obesity and healthcare costs, however, these studies have suffered from bias due to omitted variables, reverse causality, and measurement error.
Methods: We used genetic variants related to body mass index (BMI) as instruments for BMI; thereby exploiting the natural randomization of genetic variants that occurs at conception. We used data on measured height and weight, genetic information, and sociodemographic factors from the Nord-Trøndelag Health Studies (HUNT), and individual-level registry data on healthcare costs, educational level, registration status, and biological relatives.
Background: There are substantial differences in hospital referrals between general practitioners (GPs); however, there is little research on the consequences for patient safety and further healthcare use.
Objective: To investigate associations between out-of-hours GP characteristics, unplanned hospital admissions, and patient safety.
Methods: This cohort study included all Norwegian out-of-hours services contacts from 2008 to 2016, linked to registry data on patient characteristics, healthcare use and death, and GP age, sex, specialist status, out-of-hours service experience, and prior admission proportion.
PLoS Med
December 2020
Background: Obesity has tripled worldwide since 1975 as environments are becoming more obesogenic. Our study investigates how changes in population weight and obesity over time are associated with genetic predisposition in the context of an obesogenic environment over 6 decades and examines the robustness of the findings using sibling design.
Methods And Findings: A total of 67,110 individuals aged 13-80 years in the Nord-Trøndelag region of Norway participated with repeated standardized body mass index (BMI) measurements from 1966 to 2019 and were genotyped in a longitudinal population-based health study, the Trøndelag Health Study (the HUNT Study).
Hum Mol Genet
February 2021
From a life-course perspective, genetic and environmental factors driving childhood obesity may have a lasting influence on health later in life. However, how obesity trajectories vary throughout the life-course remains unknown. Recently, Richardson et al.
View Article and Find Full Text PDFEstimates from Mendelian randomization studies of unrelated individuals can be biased due to uncontrolled confounding from familial effects. Here we describe methods for within-family Mendelian randomization analyses and use simulation studies to show that family-based analyses can reduce such biases. We illustrate empirically how familial effects can affect estimates using data from 61,008 siblings from the Nord-Trøndelag Health Study and UK Biobank and replicated our findings using 222,368 siblings from 23andMe.
View Article and Find Full Text PDFObjectives: To study the trajectories of body mass index (BMI) in Norway over five decades and to assess the differential influence of the obesogenic environment on BMI according to genetic predisposition.
Design: Longitudinal study.
Setting: General population of Nord-Trøndelag County, Norway.
Background: Smoking is an important cause of mortality and recent studies have suggested that even low-intensity smoking might be associated with increased mortality. Still, smoking is associated with lower socio-economic status as well as other potential risk factors, and disease onset might motivate smoking cessation, thus residual confounding and reverse causality might bias results. We aimed to assess the evidence of a causal relationship between smoking intensity and cause-specific as well as all-cause-mortality using Mendelian randomization analyses.
View Article and Find Full Text PDFBackground: Psoriasis is a common inflammatory skin disease that has been reported to be associated with obesity. We aimed to investigate a possible causal relationship between body mass index (BMI) and psoriasis.
Methods And Findings: Following a review of published epidemiological evidence of the association between obesity and psoriasis, mendelian randomization (MR) was used to test for a causal relationship with BMI.
Background: Health status has been reported to change before, during and after disability pension receipt. These associations might be subject to temporal changes according to changes in policy, incidence of disability pensions and other contextual factors. We compared the perceived health around time of disability retirement among persons receiving disability pension in the 1990 s and 2000 s in Norway.
View Article and Find Full Text PDFBackground: To compare associations of conventional risk factors with cardiovascular death within couples and in the population as a whole.
Methods: We analysed baseline data (1995-97) from the HUNT2 Study in Norway linked to the national Causes of Death Registry. We compared risk within couples using stratified Cox regression.
Aims: Work disability and sickness absence increase following partner's retirement, which similarities in spouses' health could explain. We therefore studied the risk of work disability within couples, taking account of baseline health, lifestyle and socioeconomic factors.
Methods: A cohort of 12,511 couples from the HUNT Study (aged 20-67 years in HUNT2, 1995-1997) was linked to national registries, identifying all new cases of disability pension up until December 2007.