關於 adjusted regression ，我們在網路上蒐集到這些相關的討論、資訊與評價

同黃洪、Siu Ming 及Tat Chor出咗篇新文：

本文旨在以香港為例，探討世界城市(global city)中人均居住面積(living density)對於精神健康的影響。透過全港性抽樣調查，發現在控制個人背景因素、收入、住屋類型及開支後，人均居住面積對於居民的焦慮(anxiety)及壓力(stress)有顯著影響︰相對於居住於較高密度(7平方米或以下)的住戶，居於較低密度(13平方米或以上)的住戶較少機會有出現焦慮(adjusted OR 0.41, 95% CI 0.23–0.72)及壓力(adjusted OR 0.44, 95% CI 0.20–0.97)。本文建議政府應推動房屋政策改善住屋環境，包括加建公共房屋、加強房屋市場管制，以改善居民的精神健康。

This study aims to enrich the comprehension of the effect of living density on anxiety and stress among adults in a global city. Logistic regression analysis results have shown that by controlling the confounding effect of demographic variables, income poverty, housing ownership and housing cost, the living density was significantly associated with anxiety and stress of residents.

【PM 2.5 和子宮肌瘤的生成可能有關 】
中山附醫海扶刀中心主任 沈煌彬博士

以前外地人談到台中，就會想到某個知名的八大行業，現在多了一項新話題，也就是「霧霾」。

根據中國醫藥大學在2019年02月所發表的研究，從健保資料庫分析。收集了2001到2010年的資料，含括了11028個子宮肌瘤病人。發現PM 2.5每增加10 μg/m ³ ，肌瘤的風險增加1.105倍。

沈醫師還是要提醒，健保資料庫的研究只是一種研究方法，並不代表有必然關係，將來相關研究還是要繼續進行。霧霾天氣出門，戴口罩不一定可以減少肌瘤發生，至少可以減少肺部疾病。

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原文標題: The effects of exposure to air pollution on the development of uterine fibroids
原文出處: International Journal of Hygiene and Environmental Health 222(3) · February 2019
原文摘要: Air pollution may cause specific genetic or epigenetic abnormalities and lead to the development of uterine fibroids (UFs). However, there have been limited studies evaluating the relationship between air pollutant exposure and the development of UFs. We conducted a 10-year cohort-based case-control study in Taiwan from 2001 to 2010 using National Health Institute Research Database (NHIRD) to assess the association between air pollution and the UFs development among Taiwanese women. The case group consisted of 11,028 women newly diagnosed with UFs during the study period and the control group was 44,112 women aged 25–45 years using density sampling with a 1:4 matching on the date of birth from 224,675 women in 2001–2010. The average age of onset was 36 ± 4.37 years old. Daily concentrations of PM 2.5 were estimated by linear mixed-effects model integrating aerosol optical depth (AOD) and meteorological variables; daily concentrations of O 3 , CO, NO 2 and SO 2 were calculated by the Inverse Distance Weighting (IDW). The annual cumulative exposure to air pollutants during the study period was calculated corresponding to residential zip codes. Results: In the conditional logistic regression adjusting for confounders, the adjusted odds ratio (aOR) for UFs per 10 μg/m ³ increase in PM 2.5 was 1.105 (95% confidence interval: 1.069, 1.141), per 10 ppb increase in O 3 was 1.075 (95% confidence interval: 1.039, 1.113), respectively. Conclusions: Our study suggests that exposure to PM 2.5 and O 3 may increase the risk of developing UFs. Further studies are needed to confirm this novel finding.