| 1. |
- Bergh, Cecilia, 1972-, et al.
(författare)
-
Severe infections and subsequent delayed cardiovascular disease
- 2017
-
Ingår i: European Journal of Preventive Cardiology. - : Sage Publications. - 2047-4873 .- 2047-4881. ; 24:18, s. 1958-1966
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Severe infections in adulthood are associated with subsequent short-term cardiovascular disease. Whether hospital admission for sepsis or pneumonia is associated with persistent increased risk (over a year after infection) is less well established.Design: The design of this study was as a register-based cohort study.Methods: Some 236,739 men born between 1952-1956 were followed from conscription assessments in adolescence to 2010. All-cause cardiovascular disease ( n = 46,754), including coronary heart disease ( n = 10,279) and stroke ( n = 3438), was identified through national registers 1970-2010 (at ages 18-58 years).Results: Sepsis or pneumonia in adulthood (resulting in hospital admission) are associated with increased risk of cardiovascular disease in the years following infection. The risk is highest during the first year after the infection, with an adjusted hazard ratio (and 95% confidence intervals) of 6.33 (5.65-7.09) and a notably increased risk persisted with hazard ratios of 2.47 (2.04-3.00) for the second and 2.12 (1.71-2.62) for the third year after infection. The risk attenuated with time, but remained raised for at least five years after infection; 1.87 (1.47-2.38). The results are adjusted for characteristics in childhood, cardiovascular risk factors and medical history in adolescence. Similar statistically significant associations were found for coronary heart disease and stroke.Conclusions: Raised risks of cardiovascular disease following hospital admission for sepsis or pneumonia were increased for more than five years after the infection, but with the highest magnitude during the first three years following infection, suggesting a period of vulnerability when health professionals and patients should be aware of the heightened risk for cardiovascular disease.
|
|
| 2. |
|
|
| 3. |
- Cable, N., et al.
(författare)
-
Identifying Frail-Related Biomarkers among Community-Dwelling Older Adults in Japan : A Research Example from the Japanese Gerontological Evaluation Study
- 2018
-
Ingår i: BioMed Research International. - : Hindawi Publishing Corporation. - 2314-6133 .- 2314-6141.
-
Tidskriftsartikel (refereegranskat)abstract
- We examined correlating clinical biomarkers for the physical aspect of frailty among community-dwelling older adults in Japan, using Japanese Gerontological Evaluation Study (JAGES). We used information from the JAGES participants (N = 3,128) who also participated in the community health screening in 2010. We grouped participants' response to the Study of Osteoporotic Fracture (SOF) Frailty Index into robust (=0), intermediate frail (=1), and frail (=2+) ones to indicate physical aspect of frailty. Independent of sex and age, results from multinomial logistic regression showed above normal albumin and below normal HDL and haemoglobin levels were positively associated with intermediate frail (RRR = 1.99, 95% CI = 1.22-3.23; RRR = 1.36, 95% CI = 1.33-1.39; RRR = 1.36, 95% CI = 1.23-1.51, resp.) and frail cases (RRR = 2.27, 95% CI = 1.91-2.70; RRR = 1.59, 95% CI = 1.51-1.68; RRR = 1.40, 95% CI = 1.28-1.52, resp.). Limited to women, above normal Hb1Ac level was similarly associated with intermediate frail and frail cases (RRR = 1.18, 95% CI = 1.02, 1.38; RRR = 2.56, 95% CI = 2.23-2.95, resp.). Use of relevant clinical biomarkers can help in assessment of older adults' physical aspect of frailty.
|
|
| 4. |
- Hiyoshi, Ayako, 1972-, et al.
(författare)
-
Precursors in adolescence of adult-onset bipolar disorder
- 2017
-
Ingår i: Journal of Affective Disorders. - : Elsevier. - 0165-0327 .- 1573-2517. ; 218, s. 353-358
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Although the estimated contribution of genetic factors is high in bipolar disorder, environmental factors may also play a role. This Swedish register-based cohort study of men examined if physical and psychological characteristics in late adolescence, including factors previously linked with bipolar disorder (body mass index, asthma and allergy), are associated with subsequent bipolar disorder in adulthood. Unipolar depression and anxiety are analysed as additional outcomes to identify bipolar disorder-specific associations.Methods: A total of 213,693 men born between 1952 and 1956, who participated in compulsory military conscription assessments in late adolescence were followed up to 2009, excluding men with any psychiatric diagnoses at baseline. Cox regression estimated risk of bipolar disorder, depression and anxiety in adulthood associated with body mass index, asthma, allergy, muscular strength stress resilience and cognitive function in adolescence.Results: BMI, asthma and allergy were not associated with bipolar disorder. Higher grip strength, cognitive function and stress resilience were associated with a reduced risk of bipolar disorder and the other disease outcomes.Limitations: The sample consisted only of men; even though the characteristics in adolescence pre-dated disease onset, they may have been the consequence of prodromal disease.Conclusions: Associations with body mass index and asthma found by previous studies may be consequences of bipolar disorder or its treatment rather than risk factors. Inverse associations with all the outcome diagnoses for stress resilience, muscular strength and cognitive function may reflect general risks for these psychiatric disorders or intermediary factors.
|
|
| 5. |
- Mota Garcia, Teresa, et al.
(författare)
-
Acne in late adolescence is not associated with a raised risk of subsequent malignant melanoma among men
- 2017
-
Ingår i: Cancer Epidemiology. - : Elsevier. - 1877-7821 .- 1877-783X. ; 51, s. 44-48
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: To evaluate the association of acne in late adolescence with the risk for subsequent malignant melanoma (MM) in men.METHODS: Swedish register-based cohort study of 242,096 males born between 1952 and 1956, who took part in compulsory assessments for Swedish military conscription in late adolescence between 1969 and 1975, with subsequent diagnoses of MM (n=1,058) up to December 31, 2009. Covariates included measures of childhood circumstances and information from adolescence on presence of acne, physical fitness, cognitive function, body mass index (BMI), and a summary of diagnoses. Cox regression was used for the analysis.RESULTS: In total 1,058 men were diagnosed with MM. Acne was not associated with subsequent MM, with an adjusted hazard ratio (and 95% confidence interval) of 0.95 (0.61 to 1.49). Men with parents who were agricultural workers, and men who lived in northern Sweden, had lower physical fitness, or lower cognitive function had a lower risk of MM. Overweight and obesity was associated with a raised risk, with an adjusted hazard ratio of 1.39 (1.14, 1.71).CONCLUSIONS: Acne in late adolescence is unlikely to represent a raised risk for subsequent MM in men. Overweight or obesity was identified as a raised risk for MM, possibly due to the associated increased skin surface area.
|
|
| 6. |
- Sjöqvist, Hugo, 1992-, et al.
(författare)
-
An Analysis of Fast Learning Methods for Classifying Forest Cover Types
- 2020
-
Ingår i: Applied Artificial Intelligence. - : Taylor & Francis Group. - 0883-9514 .- 1087-6545. ; 34:10, s. 691-709
-
Tidskriftsartikel (refereegranskat)abstract
- Proper mapping and classification of Forest cover types are integral in understanding the processes governing the interaction mechanism of the surface with the atmosphere. In the presence of massive satellite and aerial measurements, a proper manual categorization has become a tedious job. In this study, we implement three different modest machine learning classifiers along with three statistical feature selectors to classify different cover types from cartographic variables. Our results showed that, among the chosen classifiers, the standard Random Forest Classifier together with Principal Components performs exceptionally well, not only in overall assessment but across all seven categories. Our results are found to be significantly better than existing studies involving more complex Deep Learning models.
|
|
