7496 Differences in seasonality's influence on individual lipid parameters: A time series analysis
Abstract Disclosure: N. Edo: None. T. Sawa: None. A. Terakawa: None. T. Uchino: None. H. Yamazaki: None. K. Uno: None. K. Uno: None. K. Morita: None. T. Ishikawa: None. T. Teramoto: None. K. Tsukamoto: None. Introduction: Many studies have reported seasonal changes in serum lipid levels. However, how much the seasonality affects the individual lipid parameters is still undetermined. Therefore, this study aimed to evaluate the differences in seasonality's influence on lipid parameters. Participants and Methods: We retrospectively collected data on TC, HDL-C, LDL-C, and TG levels measured between March 2016 and February 2021. All participants were over 18 years old and were included in this study regardless of underlying disease or treatment status. Next, we made two datasets: one with simultaneous TC, HDL-C, and TG measurements (Group A, n = 137,964) and the other with simultaneous HDL-C, LDL-C, and TG measurements (Group B, n = 119,614). Non-HDL-C and LDL-C (Friedewald: F) levels were calculated in Group A. Using the monthly median levels, we made monthly time series data for each sex. Upon adjusting for the monthly mean age, the data were decomposed into seasonal component (St), trend component, and remainder component (Rt), using seasonal and Trend decomposition using Loess method, which was performed by the "forecast::stl()" function of R software. Finally, the degree of seasonality's influence was evaluated by calculating the following parameters using the dispersions of each component: St/(St + Rt). Results: In Group A, the parameters calculated were as follows: TC; 0.78, HDL-C; 0.79, non HDL-C; 0.49, LDL-C (F); 0.63, and TG; 0.35 for male individuals, and TC; 0.76, HDL-C; 0.81, non HDL-C; 0.37, LDL-C (F); 0.51, and TG; 0.44 for female individuals. In Group B, these were as follows: HDL-C; 0.81, LDL-C; 0.28, and TG; 0.32 for male individuals, and HDL-C; 0.84, LDL-C; 0.28, and TG; 0.33 for female individuals. Discussion: Our results suggest that the effects of seasonality were more evident in TC and HDL-C levels and that they were more subtle in non-HDL-C, measured LDL-C, and TG levels. Therefore, considering in which season they are measured would be preferable when evaluating the HDL-C level. On the contrary, non-HDL-C and directly measured LDL-C levels might be able to be assessed, regardless of the season. Presentation: 6/3/2024
Authors
- T. Ishikawa (ORCID: https://orcid.org/0000-0002-3221-1107)
- Naoki Edo (ORCID: https://orcid.org/0000-0001-5579-0773)
- Tairin Uchino (ORCID: https://orcid.org/0000-0002-8397-573X)
- Tomohiro Sawa (ORCID: https://orcid.org/0000-0002-7949-7309)
- A Terakawa
- Hiroki Yamazaki (ORCID: https://orcid.org/0000-0001-7788-392X)
- Kazuhisa Tsukamoto (ORCID: https://orcid.org/0000-0002-4166-6664)
- Koji Morita (ORCID: https://orcid.org/0000-0003-2103-0025)
- T Teramoto (ORCID: https://orcid.org/0000-0003-3323-9176)
- K. Uno
Institutions
- Teikyo University (JP)
Publication Details
- Journal
- Journal of the Endocrine Society
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1210/jendso/bvae163.573
- Citations
- 1
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.31