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2.
Osteoarthritis Cartilage ; 28(7): 932-940, 2020 07.
Article in English | MEDLINE | ID: mdl-32360252

ABSTRACT

OBJECTIVE: To develop and externally validate prediction models for incident hand osteoarthritis (OA) in a large population-based cohort of middle aged and older men and women. DESIGN: We included 17,153 men and 18,682 women from a population-based cohort, aged 35-70 years at baseline (1995-1997). Incident hand OA were obtained from diagnostic codes in the Norwegian National Patient Register (1995-2018). We studied whether a range of self-reported and clinically measured predictors could predict hand OA, using the Area Under the receiver-operating Curve (AUC) from logistic regression. External validation of an existing prediction model for male hand OA was tested on discrimination in a sample of men. Bootstrapping was used to avoid overfitting. RESULTS: The model for men showed modest discriminatory ability (AUC = 0.67, 95% CI 0.62-0.71). Adding a genetic risk score did not improve prediction. Similar discrimination was observed in the model for women (AUC = 0.62, 95% CI 0.59-0.64). Prediction was not improved by adding a genetic risk score or hormonal and reproductive factors. Applying external validation, similar results were observed among men in HUNT (The Nord-Trøndelag Health Study) as in the developmental sample (AUC = 0.62, 95% CI 0.57-0.65). CONCLUSION: We developed prediction models for incident hand OA in men and women. For women, the model included body mass index (BMI), heavy physical work, high physical activity and perceived poor health. The model showed moderate discrimination. For men, we have shown that a prediction model including BMI, education and information on sleep can predict incident hand OA in several populations with moderate discriminative ability.


Subject(s)
Hand Joints , Osteoarthritis/epidemiology , Adult , Aged , Alcohol Drinking/epidemiology , Area Under Curve , Blood Pressure , Body Mass Index , Diabetes Mellitus/epidemiology , Educational Status , Estrogen Replacement Therapy/statistics & numerical data , Exercise , Female , Humans , Incidence , Logistic Models , Male , Menarche , Middle Aged , Norway/epidemiology , Occupations/statistics & numerical data , Parity , ROC Curve , Reproducibility of Results , Risk Assessment , Smoking/epidemiology
3.
Eur J Neurol ; 25(9): 1148-e102, 2018 09.
Article in English | MEDLINE | ID: mdl-29747220

ABSTRACT

BACKGROUND AND PURPOSE: Headache has been associated with various lifestyle and psychosocial factors, one of which is smoking. The aim of the present study was to investigate whether the association between smoking intensity and headache is likely to be causal. METHOD: A total of 58 316 participants from the Nord-Trøndelag Health (HUNT) study with information on headache status were genotyped for the rs1051730 C>T single-nucleotide polymorphism (SNP). The SNP was used as an instrument for smoking intensity in a Mendelian randomization analysis. The association between rs1051730 T alleles and headache was estimated by odds ratios with 95% confidence intervals. Additionally, the association between the SNP and migraine or non-migrainous headache versus no headache was investigated. All analyses were adjusted for age and sex. RESULTS: There was no strong evidence that the rs1051730 T allele was associated with headache in ever smokers (odds ratio 0.99, 95% confidence interval 0.95-1.02). Similarly, there was no association between the rs1051730 T allele and migraine or non-migrainous headache versus no headache. CONCLUSION: The findings from this study do not support that there is a strong causal relationship between smoking intensity and any type of headache. Larger Mendelian randomization studies are required to examine whether higher smoking quantity can lead to a moderate increase in the risk of headache subtypes.


Subject(s)
Headache/epidemiology , Mendelian Randomization Analysis , Smoking/adverse effects , Smoking/epidemiology , Adult , Aged , Aged, 80 and over , Causality , Female , Genotype , Headache/genetics , Humans , Male , Middle Aged , Migraine Disorders/epidemiology , Migraine Disorders/etiology , Norway/epidemiology , Polymorphism, Single Nucleotide/genetics , Sex Factors , Smoking/genetics , Young Adult
5.
Osteoarthritis Cartilage ; 25(10): 1654-1662, 2017 10.
Article in English | MEDLINE | ID: mdl-28705605

ABSTRACT

OBJECTIVE: To investigate whether parity, age at menarche, menopausal status, age at menopause, use of oral contraceptives (OC) or use of hormone replacement therapy (HRT) were associated with total knee replacement (TKR) or total hip replacement (THR) due to primary osteoarthritis. METHOD: In a prospective cohort study of 30,289 women from the second and third surveys of the Nord-Trøndelag Health Study, data were linked to the Norwegian Arthroplasty Register (NAR) in order to identify TKR or THR due to primary osteoarthritis. Cox proportional hazards models were used to estimate the hazard ratios (HRs). RESULTS: We observed 430 TKRs and 675 THRs during a mean follow-up time of 8.3 years. Increasing age at menarche was inversely associated with the risk of TKR (P-trend < 0.001). Past users and users of systemic HRT were at higher risk of TKR compared to never users (HR 1.42 (95% confidence interval (CI) 1.06-1.90) and HR 1.40 (95% CI 1.03-1.90), respectively). No association was found between parity, age at menarche, menopausal status, age at menopause, oral contraceptive use or HRT use and THR. CONCLUSION: We found that increasing age at menarche reduced the risk of TKR. Past users and users of systemic HRT were at higher risk of TKR compared to never users. Parity did not increase the risk of THR or TKR.


Subject(s)
Arthroplasty, Replacement, Knee/statistics & numerical data , Menarche , Osteoarthritis, Knee/surgery , Age Factors , Arthroplasty, Replacement, Hip , Contraceptives, Oral/administration & dosage , Drug Utilization/statistics & numerical data , Estrogen Replacement Therapy/statistics & numerical data , Female , Follow-Up Studies , Humans , Menopause , Middle Aged , Norway , Osteoarthritis, Hip/surgery , Parity , Prospective Studies , Registries , Reproductive History , Risk Factors
6.
Osteoarthritis Cartilage ; 25(6): 817-823, 2017 06.
Article in English | MEDLINE | ID: mdl-28049019

ABSTRACT

OBJECTIVE: Smoking has been associated with a reduced risk of hip and knee osteoarthritis (OA) and subsequent joint replacement. The aim of the present study was to assess whether the observed association is likely to be causal. METHOD: 55,745 participants of a population-based cohort were genotyped for the rs1051730 C > T single-nucleotide polymorphism (SNP), a proxy for smoking quantity among smokers. A Mendelian randomization analysis was performed using rs1051730 as an instrument to evaluate the causal role of smoking on the risk of hip or knee replacement (combined as total joint replacement (TJR)). Association between rs1051730 T alleles and TJR was estimated by hazard ratios (HRs) and 95% confidence intervals (CIs). All analyses were adjusted for age and sex. RESULTS: Smoking quantity (no. of cigarettes) was inversely associated with TJR (HR 0.97, 95% CI 0.97-0.98). In the Mendelian randomization analysis, rs1051730 T alleles were associated with reduced risk of TJR among current smokers (HR 0.84, 95% CI 0.76-0.98, per T allele), however we found no evidence of association among former (HR 0.97, 95% CI 0.88-1.07) and never smokers (HR 0.97, 95% CI 0.89-1.06). Neither adjusting for body mass index (BMI), cardiovascular disease (CVD) nor accounting for the competing risk of mortality substantially changed the results. CONCLUSION: This study suggests that smoking may be causally associated with the reduced risk of TJR. Our findings add support to the inverse association found in previous observational studies. More research is needed to further elucidate the underlying mechanisms of this causal association.


Subject(s)
Arthroplasty, Replacement, Hip/statistics & numerical data , Arthroplasty, Replacement, Knee/statistics & numerical data , Osteoarthritis, Hip/surgery , Osteoarthritis, Knee/surgery , Smoking/epidemiology , Causality , Female , Humans , Logistic Models , Male , Mendelian Randomization Analysis , Middle Aged , Multigene Family , Nerve Tissue Proteins/genetics , Odds Ratio , Polymorphism, Single Nucleotide , Proportional Hazards Models , Receptors, Nicotinic/genetics , Risk , Smoking/genetics
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