OBJECTIVE: A time-series study was used to assess the effect of temperature variation during summer on respiratory disease in New York State. METHODS: Daily respiratory admissions were linked with various meteorological indicators including daily and weekly temperature variation from June-August, 1991-2004. Two-stage Bayesian hierarchical models were used to first compute percent excess risks at the region level while controlling for air pollutants and time-varying variables using Poisson generalized additive models, and then to pool statewide estimates together after controlling for regional confounders. RESULTS: This study found that the daily temperature range between maximum and minimum temperature was associated with a 0·27-0·38% increased risk of admission. Minimum temperature (TMIN) above the previous 6-day average was associated with a 0·93% higher risk of respiratory morbidity. Multiday temperature ranges within 5 and 7 days were associated with 0·49 and 0·73% increases in admissions, respectively. CONCLUSIONS: We concluded that daily and multiday temperature variation may increase respiratory hospitalizations with a larger risk associated with TMIN.
OBJECTIVE: A time-series study was used to assess the effect of temperature variation during summer on respiratory disease in New York State. METHODS: Daily respiratory admissions were linked with various meteorological indicators including daily and weekly temperature variation from June-August, 1991-2004. Two-stage Bayesian hierarchical models were used to first compute percent excess risks at the region level while controlling for air pollutants and time-varying variables using Poisson generalized additive models, and then to pool statewide estimates together after controlling for regional confounders. RESULTS: This study found that the daily temperature range between maximum and minimum temperature was associated with a 0·27-0·38% increased risk of admission. Minimum temperature (TMIN) above the previous 6-day average was associated with a 0·93% higher risk of respiratory morbidity. Multiday temperature ranges within 5 and 7 days were associated with 0·49 and 0·73% increases in admissions, respectively. CONCLUSIONS: We concluded that daily and multiday temperature variation may increase respiratory hospitalizations with a larger risk associated with TMIN.
Authors: Shao Lin; Ziqiang Lin; Yanqiu Ou; Aida Soim; Srishti Shrestha; Yi Lu; Scott Sheridan; Thomas J Luben; Edward Fitzgerald; Erin Bell; Gary M Shaw; Jennita Reefhuis; Peter H Langlois; Paul Romitti; Marcia L Feldkamp; Sadia Malik; Cristian Pantea; Seema Nayak; Syni-An Hwang; Marilyn Browne Journal: Environ Int Date: 2018-06-08 Impact factor: 9.621
Authors: Wangjian Zhang; Tanya L Spero; Christopher G Nolte; Valerie C Garcia; Ziqiang Lin; Paul A Romitti; Gary M Shaw; Scott C Sheridan; Marcia L Feldkamp; Alison Woomert; Syni-An Hwang; Sarah C Fisher; Marilyn L Browne; Yuantao Hao; Shao Lin Journal: J Am Heart Assoc Date: 2019-02-05 Impact factor: 5.501
Authors: Ludmilla da Silva Viana Jacobson; Beatriz Fátima Alves de Oliveira; Rochelle Schneider; Antonio Gasparrini; Sandra de Souza Hacon Journal: Int J Environ Res Public Health Date: 2021-05-22 Impact factor: 3.390