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| 2. |
- Ali, Sadiq Mohammad, et al.
(författare)
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Gender differences in daily smoking prevalence in different age strata: A population-based study in southern Sweden.
- 2009
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Ingår i: Scandinavian Journal of Public Health. - : SAGE Publications. - 1651-1905 .- 1403-4948. ; 37:2, s. 146-152
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: To investigate gender differences in daily smoking prevalence in different age groups in southern Sweden. Methods: The 2004 public-health survey in Skåne is a cross-sectional study. A total of 27,757 persons aged 18-80 years answered a postal questionnaire, which represents 59% of the random sample. A logistic regression model was used to investigate the associations between gender and daily smoking according to age. The multivariate analysis was performed to investigate the importance of possible confounders (country of origin, education, snus use, alcohol consumption, leisure-time physical activity, and BMI) on the gender differences in daily smoking in different age groups. Results: 14.9% of the men and 18.1% of the women were daily smokers. Middle-aged respondents were daily smokers to a significantly higher extent than young and old respondents. The prevalence of daily smoking also varied according to other demographic, socioeconomic, health related behaviour, and BMI characteristics. The crude odds ratios of daily smoking were 1.79 (1.42-2.26) among women compared to men in the 18-24 years age group, and 0.95 (0.80-1.12) in the 65-80 years age group. These odds ratios changed to 2.00 (1.49-2.67) and 0.95 (0.76-1.18), respectively, when all confounders were included. CONCLUSIONS: For the first time in Sweden women have a higher prevalence of daily smoking than men. The odds ratios of daily smoking are highest among women compared to men in the youngest age group of 18-24 years and the odds ratios decrease with increasing age. The findings point to a serious public health problem. Strategic interventions targeting young women's tobacco smoking are needed.
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| 3. |
- Ali, Sadiq Mohammad, et al.
(författare)
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Social capital, the miniaturisation of community, traditionalism and first time acute myocardial infarction: A prospective cohort study in southern Sweden.
- 2006
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Ingår i: Social Science and Medicine. - : Elsevier BV. - 1873-5347 .- 0277-9536. ; 63:8, s. 2204-2217
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Tidskriftsartikel (refereegranskat)abstract
- This longitudinal study investigates the impact of social participation, trust and the combinations of social participation and trust on the incidence of first time acute myocardial infarction (AMI) in the population of Scania, southern Sweden. It is based on the cross-sectional 2000 public-health survey in Scania with a 59% participation rate and 13,604 participants, and prospective morbidity/mortality data collected for three years (January 2000-December 2002). The study cohort was followed prospectively to examine first ever AMI Hazard rate ratios (HRR) for first time AMI in the social participation, trust and social participation/trust combinations were calculated in a Cox regression model with adjustments for age, sex, education, economic stress, daily smoking, leisure time physical activity, body mass index (BMI), and self-reported health. The prevalence of low social participation was 32.8% among men and 31.5% among women. The prevalence of low trust was 40.0% among men and 44.2% among women. The three-year first time AMI rate was significantly higher among people with higher age, low education, daily smoking, poor self-reported health (among men), low social participation, and the combinations of low social participation/high trust and low social participation/low trust. The results show that low social participation but not trust was significantly associated with first time AMI after adjustment for age and sex. The positive association between low social participation and myocardial infarction remained significant after further adjustments for education, economic stress, daily smoking, physical activity and BMI, and became not significant only after additional adjustment for self-reported health, HRR 1.3 (0.9-2.0). High trust in combination with low social participation as well as low social capital (low trust/low social participation) were significantly associated with AMI, but after multiple adjustments only the low social participation/high trust category remained significant, HRR 1.6 (1.0-2.6).
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| 4. |
- Ammirati, Enrico, et al.
(författare)
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Acute Myocarditis Associated With Desmosomal Gene Variants
- 2022
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Ingår i: JACC. Heart failure. - : ELSEVIER SCI LTD. - 2213-1779 .- 2213-1787. ; 10:10, s. 714-727
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND The risk of adverse cardiovascular events in patients with acute myocarditis (AM) and desmosomal gene variants (DGV) remains unknown.OBJECTIVES The purpose of this study was to ascertain the risk of death, ventricular arrhythmias, recurrent myocarditis, and heart failure (main endpoint) in patients with AM and pathogenic or likely pathogenetic DGV.METHODS In a retrospective international study from 23 hospitals, 97 patients were included: 36 with AM and DGV (DGV[+]), 25 with AM and negative gene testing (DGV[-]), and 36 with AM without genetics testing. All patients had troponin elevation plus findings consistent with AM on histology or at cardiac magnetic resonance (CMR). In 86 patients, CMR changes in function and structure were re-assessed at follow-up.RESULTS In the DGV(+) AM group (88.9% DSP variants), median age was 24 years, 91.7% presented with chest pain, and median left ventricular ejection fraction (LVEF) was 56% on CMR (P = NS vs the other 2 groups). Kaplan-Meier curves demonstrated a higher risk of the main endpoint in DGV(+) AM compared with DGV(-) and without genetics testing patients (62.3% vs 17.5% vs 5.3% at 5 years, respectively; P < 0.0001), driven by myocarditis recurrence and ventricular arrhythmias. At follow-up CMR, a higher number of late gadolinium enhanced segments was found in DGV(+) AM. CONCLUSIONS Patients with AM and evidence of DGV have a higher incidence of adverse cardiovascular events compared with patients with AM without DGV. Further prospective studies are needed to ascertain if genetic testing might improve risk stratification of patients with AM who are considered at low risk. (J Am Coll Cardiol HF 2022;10:714-727) (c) 2022 by the American College of Cardiology Foundation.
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| 5. |
- Austin, Peter C, et al.
(författare)
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Intermediate and advanced topics in multilevel logistic regression analysis
- 2017
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Ingår i: Statistics in Medicine. - : Wiley. - 1097-0258 .- 0277-6715. ; 36:20, s. 3257-3277
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Tidskriftsartikel (refereegranskat)abstract
- Multilevel data occur frequently in health services, population and public health, and epidemiologic research. In such research, binary outcomes are common. Multilevel logistic regression models allow one to account for the clustering of subjects within clusters of higher-level units when estimating the effect of subject and cluster characteristics on subject outcomes. A search of the PubMed database demonstrated that the use of multilevel or hierarchical regression models is increasing rapidly. However, our impression is that many analysts simply use multilevel regression models to account for the nuisance of within-cluster homogeneity that is induced by clustering. In this article, we describe a suite of analyses that can complement the fitting of multilevel logistic regression models. These ancillary analyses permit analysts to estimate the marginal or population-average effect of covariates measured at the subject and cluster level, in contrast to the within-cluster or cluster-specific effects arising from the original multilevel logistic regression model. We describe the interval odds ratio and the proportion of opposed odds ratios, which are summary measures of effect for cluster-level covariates. We describe the variance partition coefficient and the median odds ratio which are measures of components of variance and heterogeneity in outcomes. These measures allow one to quantify the magnitude of the general contextual effect. We describe an R(2) measure that allows analysts to quantify the proportion of variation explained by different multilevel logistic regression models. We illustrate the application and interpretation of these measures by analyzing mortality in patients hospitalized with a diagnosis of acute myocardial infarction. © 2017 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.
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| 6. |
- Austin, Peter C, et al.
(författare)
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Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count data
- 2018
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Ingår i: Statistics in Medicine. - : Wiley. - 1097-0258 .- 0277-6715. ; 37:4, s. 572-589
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Tidskriftsartikel (refereegranskat)abstract
- Multilevel data occur frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models. These models incorporate cluster-specific random effects that allow one to partition the total variation in the outcome into between-cluster variation and between-individual variation. The magnitude of the effect of clustering provides a measure of the general contextual effect. When outcomes are binary or time-to-event in nature, the general contextual effect can be quantified by measures of heterogeneity like the median odds ratio or the median hazard ratio, respectively, which can be calculated from a multilevel regression model. Outcomes that are integer counts denoting the number of times that an event occurred are common in epidemiological and medical research. The median (incidence) rate ratio in multilevel Poisson regression for counts that corresponds to the median odds ratio or median hazard ratio for binary or time-to-event outcomes respectively is relatively unknown and is rarely used. The median rate ratio is the median relative change in the rate of the occurrence of the event when comparing identical subjects from 2 randomly selected different clusters that are ordered by rate. We also describe how the variance partition coefficient, which denotes the proportion of the variation in the outcome that is attributable to between-cluster differences, can be computed with count outcomes. We illustrate the application and interpretation of these measures in a case study analyzing the rate of hospital readmission in patients discharged from hospital with a diagnosis of heart failure.
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| 7. |
- Austin, Peter C., et al.
(författare)
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The median hazard ratio : a useful measure of variance and general contextual effects in multilevel survival analysis
- 2017
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Ingår i: Statistics in Medicine. - : WILEY. - 0277-6715 .- 1097-0258. ; 36:6, s. 928-938
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Tidskriftsartikel (refereegranskat)abstract
- Multilevel data occurs frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models (MLRM). MLRM incorporate cluster-specific random effects which allow one to partition the total individual variance into between-cluster variation and between-individual variation. Statistically, MLRM account for the dependency of the data within clusters and provide correct estimates of uncertainty around regression coefficients. Substantively, the magnitude of the effect of clustering provides a measure of the General Contextual Effect (GCE). When outcomes are binary, the GCE can also be quantified by measures of heterogeneity like the Median Odds Ratio (MOR) calculated from a multilevel logistic regression model. Time-to-event outcomes within a multilevel structure occur commonly in epidemiological and medical research. However, the Median Hazard Ratio (MHR) that corresponds to the MOR in multilevel (i.e., 'frailty') Cox proportional hazards regression is rarely used. Analogously to the MOR, the MHR is the median relative change in the hazard of the occurrence of the outcome when comparing identical subjects from two randomly selected different clusters that are ordered by risk. We illustrate the application and interpretation of the MHR in a case study analyzing the hazard of mortality in patients hospitalized for acute myocardial infarction at hospitals in Ontario, Canada. We provide R code for computing the MHR. The MHR is a useful and intuitive measure for expressing cluster heterogeneity in the outcome and, thereby, estimating general contextual effects in multilevel survival analysis.
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| 8. |
- Axelsson Fisk, Sten, et al.
(författare)
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Absolute rather than relative income is a better socioeconomic predictor of chronic obstructive pulmonary disease in Swedish adults
- 2017
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Ingår i: International Journal for Equity in Health. - : Springer Science and Business Media LLC. - 1475-9276. ; 16:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: While psychosocial theory claims that socioeconomic status (SES), acting through social comparisons, has an important influence on susceptibility to disease, materialistic theory says that socioeconomic position (SEP) and related access to material resources matter more. However, the relative role of SEP versus SES in chronic obstructive pulmonary disease (COPD) risk has still not been examined.METHOD: We investigated the association between SES/SEP and COPD risk among 667 094 older adults, aged 55 to 60, residing in Sweden between 2006 and 2011. Absolute income in five groups by population quintiles depicted SEP and relative income expressed as quintile groups within each absolute income group represented SES. We performed sex-stratified logistic regression models to estimate odds ratios and the area under the receiver operator curve (AUC) to compare the discriminatory accuracy of SES and SEP in relation to COPD.RESULTS: Even though both absolute (SEP) and relative income (SES) were associated with COPD risk, only absolute income (SEP) presented a clear gradient, so the poorest had a three-fold higher COPD risk than the richest individuals. While the AUC for a model including only age was 0.54 and 0.55 when including relative income (SES), it increased to 0.65 when accounting for absolute income (SEP). SEP rather than SES demonstrated a consistent association with COPD.CONCLUSIONS: Our study supports the materialistic theory. Access to material resources seems more relevant to COPD risk than the consequences of low relative income.
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| 9. |
- Axelsson Fisk, Sten, et al.
(författare)
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Chronic Obstructive Pulmonary Disease in Sweden: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy
- 2018
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Ingår i: SSM - Population Health. - : Elsevier BV. - 2352-8273. ; 4, s. 334-346
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Tidskriftsartikel (refereegranskat)abstract
- Socioeconomic, ethnic and gender disparities in Chronic Obstructive Pulmonary Disease (COPD) risk are well established but no studies have applied multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) within an intersectional framework to study this outcome. We study individuals at the first level of analysis and combinations of multiple social and demographic categorizations (i.e., intersectional strata) at the second level of analysis. Here we used MAIHDA to assess to what extent individual differences in the propensity of developing COPD are at the intersectional strata level. We also used MAIHDA to determine the degree of similarity in COPD incidence of individuals in the same intersectional stratum. This leads to an improved understanding of risk heterogeneity and of the social dynamics driving socioeconomic and demographic disparities in COPD incidence. Using data from 2,445,501 residents in Sweden aged 45–65, we constructed 96 intersectional strata combining categories of age, gender, income, education, civil- and migration status. The incidences of COPD ranged from 0.02% for young, native males with high income and high education who cohabited to 0.98% for older native females with low income and low education who lived alone. We calculated the intra-class correlation coefficient (ICC) that informs on the discriminatory accuracy of the categorizations. In a model that conflated additive and interaction effects, the ICC was good (20.0%). In contrast, in a model that measured only interaction effects, the ICC was poor (1.1%) suggesting that most of the observed differences in COPD incidence across strata are due to the main effects of the categories used to construct the intersectional matrix while only a minor share of the differences are attributable to intersectional interactions. We found conclusive interaction effects. The intersectional MAIHDA approach offers improved information to guide public health policies in COPD prevention, and such policies should adopt an intersectional perspective.
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| 10. |
- Axelsson Fisk, Sten, et al.
(författare)
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Understanding the complexity of socioeconomic disparities in smoking prevalence in sweden : A cross-sectional study applying intersectionality theory
- 2021
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Ingår i: BMJ Open. - : BMJ. - 2044-6055. ; 11:2
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Tidskriftsartikel (refereegranskat)abstract
- Objectives Socioeconomic disparities in smoking prevalence remain a challenge to public health. The objective of this study was to present a simple methodology that displays intersectional patterns of smoking and quantify heterogeneities within groups to avoid inappropriate and potentially stigmatising conclusions exclusively based on group averages. Setting This is a cross-sectional observational study based on data from the National Health Surveys for Sweden (2004-2016 and 2018) including 136 301 individuals. We excluded people under 30 years of age, or missing information on education, household composition or smoking habits. The final sample consisted on 110 044 individuals or 80.7% of the original sample. Outcome Applying intersectional analysis of individual heterogeneity and discriminatory accuracy (AIHDA), we investigated the risk of self-reported smoking across 72 intersectional strata defined by age, gender, educational achievement, migration status and household composition. Results The distribution of smoking habit risk in the population was very heterogeneous. For instance, immigrant men aged 30-44 with low educational achievement that lived alone had a prevalence of smoking of 54% (95% CI 44% to 64%), around nine times higher than native women aged 65-84 with high educational achievement and living with other(s) that had a prevalence of 6% (95% CI 5% to 7%). The discriminatory accuracy of the information was moderate. Conclusion A more detailed, intersectional mapping of the socioeconomic and demographic disparities of smoking can assist in public health management aiming to eliminate this unhealthy habit from the community. Intersectionality theory together with AIHDA provides information that can guide resource allocation according to the concept proportionate universalism.
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