| 1. |
- 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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| 2. |
- 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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| 3. |
- Axelsson Fisk, Sten, et al.
(författare)
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Social inequalities in the risk of giving birth to a small for gestational age child in Sweden 2010–16 : a cross-sectional study adopting an intersectional approach
- 2024
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Ingår i: European Journal of Public Health. - 1101-1262 .- 1464-360X. ; 34:1, s. 22-28
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Tidskriftsartikel (refereegranskat)abstract
- Background: Well-established associations exist between the risk of small for gestational age (SGA) and unidimensional sociodemographic factors. We investigated social inequalities in SGA risk and adopted an intersectional approach that simultaneously considers different social categories. By doing so, we could assess heterogeneities in SGA risk within unidimensional sociodemographic categories. Methods: We included all live 679 694 singleton births in Sweden between 2010 and 2016. The outcome was SGA, and the exposures were age, maternal educational level, dichotomous migration status and civil status. Thirty-six possible combinations of these factors constituted the exposure in an intersectional model. We present odds ratios (ORs) with 95% confidence intervals (95% CIs) and the area under the receiver operating characteristic curve (AUC)—a measurement of discriminatory accuracy (i.e. the ability to discriminate the babies born SGA from those who are not). Results: Women with low education and women born outside Sweden had ORs of 1.46 (95% CI 1.38–1.54) and 1.50 (95% CI 1.43–1.56) in unidimensional analyses, respectively. Among women aged under 25 with low education who were born outside Sweden and unmarried, the highest OR was 3.06 (2.59–3.63). The discriminatory accuracy was low for both the unidimensional model that included all sociodemographic factors (AUC 0. 563) and the intersectional model (AUC 0.571). Conclusions: The intersectional approach revealed a complex sociodemographic pattern of SGA risk. Sociodemographic factors have a low accuracy in identifying SGA at the individual level, even when quantifying their multi-dimensional intersections. This cautions against interventions targeted to individuals belonging to socially defined groups to reduce social inequalities in SGA risk.
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| 4. |
- Axelsson Fisk, Sten
(författare)
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Society Inhaled. Social Epidemiology of COPD
- 2021
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Chronic Obstructive Pulmonary Disease (COPD) is a common disease that in its advanced stages is a life-limiting condition and a leading cause of death globally. This thesis aims at increasing the understanding of the socioeconomic disparities that exist both for COPD and its major risk factor, tobacco smoking. A related aim is to advance the theory and epidemiological methods used to evaluate equity in health and health care. In concrete terms, the thesis discusses absolute versus relative measures of income and applies Analysis of Individual Heterogeneity and Discriminatory Accuracy (AIHDA) within an intersectional framework.In three prospective national studies, register data including socioeconomic information, hospital diagnoses (I–III) and prescriptions (III) was used. Investigating incident COPD, study I evaluates absolute versus relative income and study II adopts an intersectional Multilevel AIHDA (MAIHDA). Study III is a MAIHDA which disentangles the effect of geographical (i.e. counties) and sociodemographic contexts on discontinuation to maintenance therapy among COPD patients. Study IV is a cross-sectional intersectional AIHDA, analysing smoking risk in the Swedish National Health Surveys. Discriminatory Accuracy (DA) is assessed through Area Under the ROC Curve (AUC) in study I, III and IV and the Variance Partition Coefficient (VPC) in study II and III.Absolute income had a higher DA than relative income and seems more relevant for predicting incident COPD. Intersectional information on age, gender, education, income, civil status and country of birth had a good DA, as 20% of total variance in propensity to develop COPD was found between intersectional strata. The stratum with older native females with low income and low education who live alone presented 49 times higher COPD risk than the stratum defined by young, native males with high income and high education who cohabit (0.98% versus 0.02%). Sociodemographic differences were more relevant than geographic (i.e. counties) differences for explaining patient variance in discontinuation to maintenance therapy (VPC 5.0% versus 0.4%). Intersectional information provided a moderate DA (AUC=0.66) for predicting smoking status. Although complex to disentangle from one another, our results suggest that material conditions matter more than psychosocial status for incidence of COPD. The intersectional MAIHDA and AIHDA approaches improve our understanding of heterogeneities in risk of COPD and smoking in the population. This approach can also disentangle geographical from sociodemographic contextual effects and provides an innovative instrument for planning interventions according to the idea of proportionate universalism.
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| 5. |
- 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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| 6. |
- Karlsson Sundbaum, Johanna, et al.
(författare)
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Uncontrolled asthma predicts severe COVID-19: a report from the Swedish National Airway Register.
- 2022
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Ingår i: Therapeutic advances in respiratory disease. - : SAGE Publications. - 1753-4666 .- 1753-4658. ; 16
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Tidskriftsartikel (refereegranskat)abstract
- Severe asthma increases the risk of severe COVID-19 outcomes such as hospitalization and death. However, more studies are needed to understand the association between asthma and severe COVID-19.A cohort of 150,430 adult asthma patients were identified in the Swedish National Airway Register (SNAR) from 2013 to December 2020. Data on body mass index, smoking habits, lung function, and asthma control test (ACT) were obtained from SNAR, and uncontrolled asthma was defined as ACT ⩽19. Patients with severe COVID-19 were identified following hospitalization or in death certificates based on ICD-10 codes U07.1 and U07.2. The Swedish Prescribed Drug register was used to identify comorbidities and data from Statistics Sweden for educational level. Multivariate logistic regression analyses were used to estimate associations with severe COVID-19.Severe COVID-19 was identified in 1067 patients (0.7%). Older age (OR=1.04, 95% CI=1.03-1.04), male sex (1.42, 1.25-1.61), overweight (1.56, 1.27-1.91), obesity (2.12, 1.73-2.60), high-dose inhaled corticosteroids in combination with long-acting β-agonists (1.40, 1.22-1.60), dispensed oral corticosteroids ⩾2 (1.48, 1.25-1.75), uncontrolled asthma (1.64, 1.35-2.00), cardiovascular disease (1.20, 1.03-1.40), depression (1.47, 1.28-1.68), and diabetes (1.52, 1.29-1.78) were associated with severe COVID-19, while current smoking was inversely associated (0.63, 0.47-0.85). When comparing patients who died from COVID-19 with those discharged alive from hospital until 31 December 2020, older age, male sex, and current smoking were associated with COVID-19 death.Patients with uncontrolled asthma and high disease burden, including increased asthma medication intensity, should be identified as risk patients for severe COVID-19. Furthermore, current smoking is strongly associated with COVID-19 death in asthma.
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| 7. |
- Khalaf, Kani, et al.
(författare)
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Geographical and sociodemographic differences in discontinuation of medication for chronic obstructive pulmonary disease – a cross-classified multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)
- 2020
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Ingår i: Clinical Epidemiology. - 1179-1349. ; 12, s. 783-796
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Tidskriftsartikel (refereegranskat)abstract
- Background: While discontinuation of COPD maintenance medication is a known problem, the proportion of patients with discontinuation and its geographical and sociodemographic distribution are so far unknown in Sweden. Therefore, we analyse this question by applying an innovative approach called multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). Patients and Methods: We analysed 49,019 patients categorized into 18 sociodemographic contexts and 21 counties of residence. All patients had a hospital COPD diagnosis and had been on inhaled maintenance medication during the 5 years before the study baseline in 2010. We defined “discontinuation” as the absolute lack of retrieval from a pharmacy of any inhaled maintenance medication during 2011. We performed a cross-classified MAIHDA and obtained the average proportion of discontinuation, as well as county and sociodemographic absolute risks, and compared them with a proposed benchmark value of 10%. We calculated the variance partition coefficient (VPC) and the area under the receiver operating characteristics curve (AUC) to quantify county and sociodemographic differences. To summarize the results, we used a framework with 15 scenarios defined by the size of the differences and the level of achievement in relation to the benchmark value. Results: Around 18% of COPD patients in Sweden discontinued maintenance medication, so the benchmark value was not achieved. There were very small county differences (VPC=0.35%, AUC=0.54). The sociodemographic differences were small (VPC=4.98%, AUC=0.57). Conclusion: Continuity of maintenance medication among COPD patients in Sweden could be improved by reducing the unjustifiably high prevalence of discontinuation. The very small county and small sociodemographic differences should motivate universal interventions across all counties and sociodemographic groups. Geographical analyses should be combined with sociodemographic analyses, and the cross-classified MAIHDA is an appropriate tool to assess health-care quality.
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