Seasonal patterns of mortality in relation to social factors

• Published in: Journal of epidemiology and community health (1979) 2012-04, Vol.66 (4), p.379-384
• Main Authors: Hales, Simon, Blakely, Tony, Foster, Rachel H, Baker, Michael G, Howden-Chapman, Philippa
• Format: Article
• Language: English
• Subjects: Adult; Aged; Air pollution; Biological and medical sciences; Case-Control Studies; Census; Censuses; Cohort analysis; Cohort Studies; Cold Temperature - adverse effects; Community health; Death; environmental epidemiology; Epidemiology; Ethnicity; Female; General aspects; Households; Housing; Humans; Infectious diseases; Low income; Low income groups; Male; Medical sciences; Middle Aged; Miscellaneous; Mortality; Mortality - ethnology; Mortality - trends; New Zealand - epidemiology; Outdoor air quality; Population; Public health. Hygiene; Public health. Hygiene-occupational medicine; Regression Analysis; Research reports; Residence Characteristics; Rural Population - statistics & numerical data; seasonal variation; Seasons; Social inequality; Socioeconomic Factors; Socioeconomics; Studies; Summer; Surveys and Questionnaires; Temperature; Tenure; Urban Population - statistics & numerical data; Winter
• ISSN: 0143-005X; 1470-2738
• DOI: 10.1136/jech.2010.111864

BackgroundNew Zealand is a temperate country with substantial excess winter mortality. We investigated whether this excess winter mortality varies with social factors.MethodsRecords from New Zealand censuses in 1981, 1986, 1991, 1996 and 2001 were each anonymously and probabilistically linked to 3 years of subsequent mortality data creating five cohort studies of the New Zealand adult population (age 30–74 years at census) each with 3 years' follow-up. Logistic regression analysis was used to model the risk of dying in winter compared to summer with winter deaths classified ‘1’ and summer deaths ‘0’. There were 75 138 eligible mortality records with complete data on social variables recorded for 58 683 (78%).ResultsAdjusting for age, sex, census year, ethnicity and tenure, those in the lowest tertile of income were at increased risk of winter death compared to those in the highest tertile: OR 1.13 (95% CI 1.08 to 1.19). Compared to home owners, people living in rented accommodation were at greater risk of winter death: OR 1.05 (95% CI 1.01 to 1.10). Urban dwellers were also at significantly increased risk. The strongest associations were seen for infectious diseases.ConclusionsThere was an increased risk of dying in winter for most New Zealanders, but more so among low-income people, those living in rented accommodation and those living in cities. Exact causal mechanisms are not known but possibly include correlated poorer health status, low indoor temperatures and household crowding.