
To assess relationships between cold spells and genitourinary hospitalization risk.Hospitalization records for genitourinary system diseases (GUDs) from 16 districts in Beijing (2013-2018) were analyzed. Cold spells were defined based on varying intensity thresholds. A two-stage analytical method was employed: first, generalized linear models assessed district-specific associations between cold spells and hospitalizations; second, random-effects meta-analysis aggregated the district-level results. Subgroup analyses were performed by admission type (emergency vs. outpatient), age, and sex.A total of 271,579 GUD-related hospitalizations were recorded. Cold spells (p1day2,daily mean temperature below the 1 st percentiles of the daily mean temperature distribution from January 1, 2013, to December 31, 2018, lasting for two or more consecutive days) were linked to a significant rise in hospitalization risks: 1.43 (95% CI: 1.32-1.56) for all GUDs, 1.35 (95% CI: 1.23-1.49) for urinary system diseases, and 1.46 (95% CI: 1.28-1.67) for renal failure, when compared to non-cold spell days. Emergency admissions showed higher risk increases than outpatient admissions.Extreme cold spells significantly elevate hospitalization risks for GUDs. This highlights the urgent need for targeted public health interventions to mitigate cold-related health impacts, especially for vulnerable populations.
Male, Adult, Adolescent, Infant, Newborn, Infant, Middle Aged, Female Urogenital Diseases, Hospitalization, Cold Temperature, Young Adult, Male Urogenital Diseases, Risk Factors, Child, Preschool, Beijing, Humans, Female, Child, Aged
Male, Adult, Adolescent, Infant, Newborn, Infant, Middle Aged, Female Urogenital Diseases, Hospitalization, Cold Temperature, Young Adult, Male Urogenital Diseases, Risk Factors, Child, Preschool, Beijing, Humans, Female, Child, Aged
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
