Consistent evidence has shown excess mortality associated with cold temperature, but some important details of the cold–mortality association (e.g. slope and threshold) have not been adequately investigated and few studies focused on the cold effect in high-altitude areas of developing countries. We attempted to quantify the cold effect on mortality, identify the details, and evaluate effect modification in the distinct subtropical plateau monsoon climate of Yuxi, a high plateau region in southwest China.Methods
From daily mortality and meteorological data during 2009–2014, we used a quasi-Poisson model combined with a “natural cubic spline–natural cubic spline” distributed lag non-linear model to estimate the temperature–mortality relationship and then a simpler “hockey-stick” model to investigate the cold effect and details.Results
Cold temperature was associated with increased mortality, and the relative risk of cold effect (1st relative to 10th temperature percentile) on non-accidental, cardiovascular, and respiratory mortality for lag 0–21 days was 1.40 (95% confidence interval: 1.19–1.66), 1.61 (1.28–2.02), and 1.13 (0.78–1.64), respectively. A 1 °C decrease below a cold threshold of 9.1 °C (8th percentile) for lags 0–21 was associated with a 7.35% (3.75–11.09%) increase in non-accidental mortality. The cold–mortality association was not significantly affected by cause-specific mortality, gender, age, marital status, ethnicity, occupation, or previous history of hypertension.Conclusions
There is an adverse impact of cold on mortality in Yuxi, China, and a temperature of 9.1 °C is an important cut-off for cold-related mortality for residents.