Neighbourhood child population density as a proxy measure for exposure to respiratory infections in the first year of life: A validation study.

Lupatsch, Judith E; Kreis, Christian; Korten, Insa Christina Severine; Latzin, Philipp; Frey, Urs; Kuehni, Claudia E; Spycher, Ben D (2018). Neighbourhood child population density as a proxy measure for exposure to respiratory infections in the first year of life: A validation study. PLoS ONE, 13(9), e0203743. Public Library of Science 10.1371/journal.pone.0203743

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BACKGROUND Assessing exposure to infections in early childhood is of interest in many epidemiological investigations. Because exposure to infections is difficult to measure directly, epidemiological studies have used surrogate measures available from routine data such as birth order and population density. However, the association between population density and exposure to infections is unclear. We assessed whether neighbourhood child population density is associated with respiratory infections in infants. METHODS With the Basel-Bern lung infant development study (BILD), a prospective Swiss cohort study of healthy neonates, respiratory symptoms and infections were assessed by weekly telephone interviews with the mother throughout the first year of life. Using population census data, we calculated neighbourhood child density as the number of children < 16 years of age living within a 250 m radius around the residence of each child. We used negative binomial regression models to assess associations between neighbourhood child density and the number of weeks with respiratory infections and adjusted for potential confounders including the number of older siblings, day-care attendance and duration of breastfeeding. We investigated possible interactions between neighbourhood child population density and older siblings assuming that older siblings mix with other children in the neighbourhood. RESULTS The analyses included 487 infants. We found no evidence of an association between quintiles of neighbourhood child density and number of respiratory symptoms (p = 0.59, incidence rate ratios comparing highest to lowest quintile: 1.15, 95%-confidence interval: 0.90-1.47). There was no evidence of interaction with older siblings (p = 0.44). Results were similar in crude and in fully adjusted models. CONCLUSIONS Our study suggests that in Switzerland neighbourhood child density is a poor proxy for exposure to infections in infancy.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Paediatric Medicine

UniBE Contributor:

Lupatsch, Judith Eva; Kreis, Christian; Korten, Insa Christina Severine; Latzin, Philipp; Kühni, Claudia and Spycher, Ben

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1932-6203

Publisher:

Public Library of Science

Language:

English

Submitter:

Tanya Karrer

Date Deposited:

20 Sep 2018 14:50

Last Modified:

04 Oct 2018 09:53

Publisher DOI:

10.1371/journal.pone.0203743

PubMed ID:

30208077

BORIS DOI:

10.7892/boris.120041

URI:

https://boris.unibe.ch/id/eprint/120041

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