Acute Myocardial Infarction Hospitalizations between Cold and Hot Seasons in an Island across Tropical and Subtropical Climate Zones—A Population-Based Study

Chu, Min-Liang; Shih, Chiao-Yu; Hsieh, Tsung-Cheng; Chen, Hanlin; Lee, Chih-Wei; Hsieh, Jui-Chien

doi:10.3390/ijerph16152769

Cited by 12 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Taiwanese study of the risk factors associated with the incidence of seasonal AMI in the tropical and subtropical climate zones in 6897 AMI patients between 1997 and 2011 showed that older adults 65 years of age and older residing in subtropical regions and patients diagnosed with diabetes mellitus (DM) or dyslipidemia were at higher risk of developing seasonal AMI. However, similar results were not exhibited in the patients residing in tropical regions [ 12 ]. This study highlighted that the risk factors of myocardial infarction differed in the different regions of a country.…”

Section: Introductionmentioning

confidence: 58%

Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

Huang

Lee

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

This cross-sectional study aimed to investigate the difference in ranking of risk factors of onset age of acute myocardial infarction (AMI) between urban and rural areas in Eastern Taiwan. Data from 2013 initial onset of AMI patients living in the urban areas (n = 1060) and rural areas (n = 953) from January 2000 to December 2015, including onset age, and conventional risk factors including sex, smoking, diabetes, hypertension, dyslipidemia, and body mass index (BMI). The results of multiple linear regressions analysis showed smoking, obesity, and dyslipidemia were early-onset reversible risk factors of AMI in both areas. The ranking of impacts of them on the age from high to low was obesity (β = −6.7), smoking (β = −6.1), and dyslipidemia (β = −4.8) in the urban areas, while it was smoking (β = −8.5), obesity (β= −7.8), and dyslipidemia (β = −5.1) in the rural areas. Furthermore, the average onset ages for the patients who smoke, are obese, and have dyslipidemia simultaneously was significantly earlier than for patients with none of these comorbidities in both urban (13.6 years) and rural (14.9 years) areas. The findings of this study suggest that the different prevention strategies for AMI should be implemented in urban and rural areas.

show abstract

Section: Introductionmentioning

confidence: 58%

Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

Huang

Lee

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“… 15 16 This finding was consistent with warmer areas of tropical or subtropical regions such as Taiwan and Singapore. 17 18 …”

Section: Discussionmentioning

confidence: 99%

Effect of Temperature Variation on the Incidence of Acute Myocardial Infarction

Jin,

Kim,

Lee

et al. 2024

J Korean Med Sci

View full text Add to dashboard Cite

Background Harsh temperature exposure has been associated with a high risk of cardiovascular events. We sought to investigate the influence of temperature change on long-term incidence of acute myocardial infarction (AMI) in Korean patients. Methods From the National Health Insurance Service (NHIS) customized health information database (from 2005 to 2014), data from a total of 192,567 AMI patients was assessed according to the International Classification of Disease 10th edition code and matched with temperature reports obtained from the Korea Meteorological Administration database. We analyzed data for a 10-year period on a monthly and seasonal basis. Results The incidence rate per 100,000 year of AMI exhibited a downward trend from 69.1 to 56.1 over the period 2005 to 2014 ( P < 0.005), and the seasonal AMI incidence rate per 100,000 year was highest in spring (63.1), and winter (61.3) followed by autumn (59.5) and summer (57.1). On a monthly basis, the AMI incidence rate per 100,000 year was highest during March (64.4) and December (63.9). The highest incidence of AMI occurred during temperature differences of 8–10° in each season. Moreover, AMI incidence tended to increase as the mean temperature decreased ( r = −0.233, P = 0.001), and when the mean daily temperature difference increased ( r = 0.353, P < 0.001). Conclusion The AMI incidence rate per 100,000 year has a decreasing trend over the 10-year period, derived from the Korean NHIS database. Modest daily temperature differences (8–10°) and the spring season are related to higher AMI incidence, indicating that daily temperature variation is more important than the mean daily temperature.

show abstract

“…In the WHO MONICA project between 1980 and 1995, females living in warm climates exhibited higher coronary event rates during cold periods ( 2 ). However, no gender differences in the seasonality of AMI hospitalization in the Taiwan study between 1997 and 2011 ( 26 ). An hour-to-hour study in Queensland, Australia, showed that elevated risks occurred more acutely in males following extreme cold exposure (9 h in males vs. 19 h in females) ( 27 ).…”

Section: Discussionmentioning

confidence: 99%

Temperature fluctuation and acute myocardial infarction in Beijing: an extended analysis of temperature ranges and differences

Tang,

Fu,

Liu

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

PurposeFew studies examined the relationship between temperature fluctuation metrics and acute myocardial infarction (AMI) hospitalizations within a single cohort. We aimed to expand knowledge on two basic measures: temperature range and difference.MethodsWe conducted a time-series analysis on the correlations between temperature range (TR), daily mean temperature differences (DTDmean), and daily mean-maximum/minimum temperature differences (TDmax/min) and AMI hospitalizations, using data between 2013 and 2016 in Beijing, China. The effects of TRn and DTDmeann over n-day intervals were compared, respectively. Subgroup analysis by age and sex was performed.ResultsA total of 81,029 AMI hospitalizations were included. TR1, TDmax, and TDmin were associated with AMI in J-shaped patterns. DTDmean1 was related to AMI in a U-shaped pattern. These correlations weakened for TR and DTDmean with longer exposure intervals. Extremely low (1st percentile) and high (5°C) DTDmean1 generated cumulative relative risk (CRR) of 2.73 (95% CI: 1.56–4.79) and 2.15 (95% CI: 1.54–3.01). Extremely high TR1, TDmax, and TDmin (99th percentile) correlated with CRR of 2.00 (95% CI: 1.73–2.85), 1.71 (95% CI: 1.40–2.09), and 2.73 (95% CI: 2.04–3.66), respectively. Those aged 20–64 had higher risks with large TR1, TDmax, and TDmin, while older individuals were more affected by negative DTDmean1. DTDmean1 was associated with a higher AMI risk in females.ConclusionTemperature fluctuations were linked to increased AMI hospitalizations, with low-temperature extremes having a more pronounced effect. Females and the older adult were more susceptible to daily mean temperature variations, while younger individuals were more affected by larger temperature ranges.

show abstract

Acute Myocardial Infarction Hospitalizations between Cold and Hot Seasons in an Island across Tropical and Subtropical Climate Zones—A Population-Based Study

Cited by 12 publications

References 27 publications

Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

Effect of Temperature Variation on the Incidence of Acute Myocardial Infarction

Temperature fluctuation and acute myocardial infarction in Beijing: an extended analysis of temperature ranges and differences

Contact Info

Product

Resources

About