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- Chaix, Basile, et al.
(författare)
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A GPS-Based Methodology to Analyze Environment-Health Associations at the Trip Level : Case-Crossover Analyses of Built Environments and Walking
- 2016
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Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 184:8, s. 570-578
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Tidskriftsartikel (refereegranskat)abstract
- Environmental health studies have examined associations between context and health with individuals as statistical units. However, investigators have been unable to investigate momentary exposures, and such studies are often vulnerable to confounding from, for example, individual-level preferences. We present a Global Positioning System (GPS)-based methodology for segmenting individuals' observation periods into visits to places and trips, enabling novel life-segment investigations and case-crossover analysis for improved inferences. We analyzed relationships between built environments and walking in trips. Participants were tracked for 7 days with GPS receivers and accelerometers and surveyed with a Web-based mapping application about their transport modes during each trip (Residential Environment and Coronary Heart Disease (RECORD) GPS Study, France, 2012-2013; 6,313 trips made by 227 participants). Contextual factors were assessed around residences and the trips' origins and destinations. Conditional logistic regression modeling was used to estimate associations between environmental factors and walking or accelerometry-assessed steps taken in trips. In case-crossover analysis, the probability of walking during a trip was 1.37 (95% confidence interval: 1.23, 1.61) times higher when trip origin was in the fourth (vs. first) quartile of service density and 1.47 (95% confidence interval: 1.23, 1.68) times higher when trip destination was in the fourth (vs. first) quartile of service density. Green spaces at the origin and destination of trips were also associated with within-individual, trip-to-trip variations in walking. Our proposed approach using GPS and Web-based surveys enables novel life-segment epidemiologic investigations.
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| 4. |
- Chaix, Basile, et al.
(författare)
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Recent Increase of Neighborhood Socioeconomic Effects on Ischemic Heart Disease Mortality: A Multilevel Survival Analysis of Two Large Swedish Cohorts.
- 2007
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Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 165, s. 22-26
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Tidskriftsartikel (refereegranskat)abstract
- Studies have shown that the decrease in ischemic heart disease mortality over the past decades was paralleled by an increase in socioeconomic disparities. Using two large Swedish cohorts defined in 1986 and 1996, the authors examined whether the effect of neighborhood socioeconomic position on ischemic heart disease mortality strengthened over the period and whether the relative contribution of individual and neighborhood socioeconomic effects changed over time. Multilevel survival models adjusted for individual factors indicated that neighborhood socioeconomic effects on ischemic heart disease mortality increased markedly between the two periods (hazard ratios for residing in the most vs. least deprived neighborhoods were 1.60 (95% credible interval: 1.36, 1.89) for the 1986 cohort and 2.54 (95% credible interval: 1.99, 3.21) for the 1996 cohort). Comparing the neighborhood socioeconomic effect with the strongly predictive effect of 15-year individual income indicated that the neighborhood effect was two times weaker than the individual effect in the 1986 cohort (-48%, 95% credible interval: -22%, -68%) but of comparable magnitude in the 1996 cohort (-11%, 95% credible interval: -42%, 29%). This increase in the contribution of neighborhood factors to the socioeconomic gradient in ischemic heart disease urges investigation into the exact mechanisms between the residential context and coronary health.
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| 6. |
- Merlo, Juan
(författare)
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Invited Commentary: Multilevel Analysis of Individual Heterogeneity-A Fundamental Critique of the Current Probabilistic Risk Factor Epidemiology
- 2014
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Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 180:2, s. 208-212
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- In this issue of the Journal, Dundas et al. (Am J Epidemiol. 2014;180(2):197-207) apply a hitherto infrequent multilevel analytical approach: multiple membership multiple classification (MMMC) models. Specifically, by adopting a life-course approach, they use a multilevel regression with individuals cross-classified in different contexts (i.e., families, early schools, and neighborhoods) to investigate self-reported health and mental health in adulthood. They provide observational evidence suggesting the relevance of the early family environment for launching public health interventions in childhood in order to improve health in adulthood. In their analyses, the authors distinguish between specific contextual measures (i.e., the association between particular contextual characteristics and individual health) and general contextual measures (i.e., the share of the total interindividual heterogeneity in health that appears at each level). By doing so, they implicitly question the traditional probabilistic risk factor epidemiology including classical "neighborhood effects" studies. In fact, those studies use simple hierarchical structures and disregard the analysis of general contextual measures. The innovative MMMC approach properly responds to the call for a multilevel eco-epidemiology against a widespread probabilistic risk factors epidemiology. The risk factors epidemiology is not only reduced to individual-level analyses, but it also embraces many current "multilevel analyses" that are exclusively focused on analyzing contextual risk factors.
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| 7. |
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| 8. |
- Larsen, K, et al.
(författare)
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Appropriate assessment of neighborhood effects on individual health: Integrating random and fixed effects in multilevel logistic regression
- 2005
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Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262. ; 161:1, s. 81-88
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Tidskriftsartikel (refereegranskat)abstract
- The logistic regression model is frequently used in epidemiologic studies, yielding odds ratio or relative risk interpretations. Inspired by the theory of linear normal models, the logistic regression model has been extended to allow for correlated responses by introducing random effects. However, the model does not inherit the interpretational features of the normal model. In this paper, the authors argue that the existing measures are unsatisfactory (and some of them are even improper) when quantifying results from multilevel logistic regression analyses. The authors suggest a measure of heterogeneity, the median odds ratio, that quantifies cluster heterogeneity and facilitates a direct comparison between covariate effects and the magnitude of heterogeneity in terms of well-known odds ratios. Quantifying cluster-level covariates in a meaningful way is a challenge in multilevel logistic regression. For this purpose, the authors propose an odds ratio measure, the interval odds ratio, that takes these difficulties into account. The authors demonstrate the two measures by investigating heterogeneity between neighborhoods and effects of neighborhood-level covariates in two examples-public physician visits and ischemic heart disease hospitalizations-using 1999 data on 11,312 men aged 45-85 years in Malmo, Sweden.
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| 9. |
- Merlo, Juan, et al.
(författare)
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Effect of neighborhood social participation on individual use of hormone replacement therapy and antihypertensive medication: a multilevel analysis.
- 2003
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Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262. ; 157:9, s. 774-783
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Tidskriftsartikel (refereegranskat)abstract
- The authors investigated a possible contextual effect of neighborhood on individual use of hormone replacement therapy (HRT) and antihypertensive medication (AHM) and the impact of neighborhood social participation on individual use of these medications. They attempted to disentangle contextual from individual influences. Multilevel logistic regression modeling was used to analyze data on 15,456 women aged 45–73 years (first level) residing in 95 neighborhoods (second level) of the city of Malmö, Sweden (250,000 inhabitants) who participated in the Malmö Diet and Cancer Study (1991–1996). AHM use was studied among 7,558 participants with defined hypertension. Of the total variability in medication use in this population, only 1.7% (HRT) and 0.5% (AHM) was between neighborhoods. After adjustment for age, individual socioeconomic factors, individual low levels of social participation, and health and behavioral variables, no neighborhood effect on AHM use was found. However, women living in neighborhoods with low social participation were much less likely to use HRT (odds ratio = 0.36, 95% confidence interval: 0.21, 0.63), especially if they themselves experienced low social participation (synergy index, 1.53) or were immigrants (synergy index, 1.68). The Malmö neighborhoods were homogeneous with regard to HRT and especially AHM use. However, differences in neighborhood social participation affected HRT use independently of individual characteristics.
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| 10. |
- Merlo, Juan, et al.
(författare)
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Self-administered questionnaire compared with a personal diary for assessment of current use of hormone therapy: an analysis of 16,060 women
- 2000
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Ingår i: American Journal of Epidemiology. - 0002-9262. ; 152:8, s. 788-792
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Tidskriftsartikel (refereegranskat)abstract
- A personal diary may be more appropriate than a questionnaire for assessing self-reported current use of hormone therapy (estrogens, progestagens, or their combination); however, use of a questionnaire is more feasible and less expensive. The authors compared both methods for 16,060 Swedish women aged 45-73 years from the Malmo Diet and Cancer Study (baseline, 1991-1996). In a reliability analysis, the authors investigated the agreement (kappa value) between the questionnaire and the diary regarding current hormone therapy use (yes vs. no), studying the ability to replicate results whether or not they were correct. They also explored associations between discrepancy and individual characteristics. A validity analysis was conducted to determine whether use of the questionnaire achieved an outcome without systematic error (i.e., high specificity and sensitivity); the personal diary was considered the "gold standard." Agreement between both methods was high: 95.5% (kappa = 0.840). The sensitivity was 84.9% and the specificity 97.7%. Higher body mass index and being a widow were associated with agreement, whereas age (50-59 years), use of anxiolytics/hypnotics or opiates, high alcohol consumption, past smoking, and higher educational level were associated with discrepancy. Compared with a personal diary, a simple self-administered questionnaire is a valid method for assessing current use of hormone therapy.
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