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

• Published in: PloS one 2018-09, Vol.13 (9), p.e0203743-e0203743
• Main Authors: Lupatsch, Judith E, Kreis, Christian, Korten, Insa, Latzin, Philipp, Frey, Urs, Kuehni, Claudia E, Spycher, Ben D
• Format: Article
• Language: English
• Subjects: Adolescent; Air pollution; Analysis; Asthma; Biology and Life Sciences; Birth order; Breast feeding; Breastfeeding & lactation; Child; Child, Preschool; Children; Children & youth; Cohort analysis; Cohort Studies; Confidence intervals; Demographic aspects; Disease prevention; Epidemics; Epidemiology; Exposure; Female; Health aspects; Health risk assessment; Hospitals; Humans; Incidence; Infant; Infant, Newborn; Infants; Infections; Interviews; Interviews as Topic; Lungs; Male; Medicine and Health Sciences; Models, Theoretical; Neighborhoods; Neonates; Pediatric research; Pediatrics; People and Places; Population Density; Preventive medicine; Regression analysis; Regression models; Research and Analysis Methods; Residence Characteristics; Residential density; Respiratory tract infection; Respiratory tract infections; Respiratory Tract Infections - diagnosis; Respiratory Tract Infections - epidemiology; Risk Factors; Siblings; Sleep; Statistical analysis; Surveys and Questionnaires; Switzerland - epidemiology; Telephone
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0203743

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. 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. 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. Our study suggests that in Switzerland neighbourhood child density is a poor proxy for exposure to infections in infancy.