Meta-analysis of related factors of premature ovarian failure based on computer

Fangfang Yu; Youguo Chen

doi:10.1117/12.2673646

4 April 2023 Meta-analysis of related factors of premature ovarian failure based on computer

Fangfang Yu, Youguo Chen

Proceedings Volume 12603, Biophysical Society of GuangDong Province Academic Forum: Precise Photons and Life Health (PPLH 2022); 126030H (2023) https://doi.org/10.1117/12.2673646
Event: 2022 Biophysical Society of Guang Dong Province Academic Forum - Precise Photons and Life Health (PPLH 2022), 2022, Guangzhou, China

Abstract

In order to resolve the meta-analysis of related factors of premature ovarian failure, this paper proposes a computer-assisted study of risk factors and protective factors of premature ovarian failure (POF) in women, and provides a scientific basis for its etiological prevention. Through Meta analysis, it was found that the OR value and 95%CI of living environment-related factors were 4.38 for smoking, 4.28 for exposure to toxic substances, 4.17 for dieting, and 3.91 for hair dyeing. The result shows, exposure to toxic substances, smoking, poor sleep quality and eating bean products may have publication bias. To prevent POF, we should pay attention to reasonable diet, keep happy mood, avoid contact with toxic and harmful substances, treat inflammatory diseases early, and develop good living habits.

Citation Download Citation

Fangfang Yu and Youguo Chen "Meta-analysis of related factors of premature ovarian failure based on computer", Proc. SPIE 12603, Biophysical Society of GuangDong Province Academic Forum: Precise Photons and Life Health (PPLH 2022), 126030H (4 April 2023); https://doi.org/10.1117/12.2673646

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