Department of Economics, Konkuk University, Seoul, Republic of Korea.
Glob Heart. 2018 Dec;13(4):285-292. doi: 10.1016/j.gheart.2018.01.004. Epub 2018 May 24.
Smoking and hypertension are 2 leading causes of death worldwide, and it has been claimed that smoking is a cause of hypertension despite inconsistent results in the literature. In addition, the literature focuses mostly on developed countries, although more people in developing countries are adversely affected by smoking and hypertension.
This study attempted to address critical limitations of the literature by analyzing a nationally representative survey of Indonesians with a large sample size and a long follow-up period.
This study drew on the Indonesian Family Life Survey and followed men aged ≥15 years from 1993 to 2014. The sample size was 14,722 in the unbalanced panel data, 7,876 in the balanced data, and 12,715 in the cross-sectional data. Fixed-effects models were used to remove time-invariant individual characteristics for the panel data. These results were compared to those derived from the cross-sectional data in linear probability models, and the importance of controlling for time-invariant individual characteristics was assessed.
The results derived from fixed-effects models indicated no relation of smoking to hypertension. The relation remained null whether the unbalanced or balanced panel data, hypertension status or blood pressure, or smoking status or smoking intensity in linear or nonlinear form were analyzed. In contrast, the results derived from linear probability models exaggerated the relation.
Given the null relation, smoking was not associated with hypertension in this population.
吸烟和高血压是全球两大主要死因,尽管文献中的结果不一致,但有人声称吸烟是高血压的一个原因。此外,文献主要集中在发达国家,尽管发展中国家有更多的人受到吸烟和高血压的不利影响。
本研究试图通过分析一项针对印度尼西亚人的具有代表性的全国性调查来解决文献中的关键局限性,该调查具有较大的样本量和较长的随访期。
本研究借鉴了印度尼西亚家庭生活调查(IFLS),并对 1993 年至 2014 年期间年龄≥15 岁的男性进行了随访。非平衡面板数据的样本量为 14722 人,平衡数据的样本量为 7876 人,横截面数据的样本量为 12715 人。固定效应模型用于消除面板数据中时不变的个体特征。将这些结果与线性概率模型中从横截面数据得出的结果进行比较,并评估控制时不变个体特征的重要性。
固定效应模型的结果表明,吸烟与高血压之间没有关系。无论是使用非平衡还是平衡面板数据、高血压状况或血压、吸烟状况或吸烟强度的线性或非线性形式进行分析,这种关系都是不变的。相比之下,线性概率模型的结果夸大了这种关系。
鉴于这种无关联关系,在该人群中,吸烟与高血压无关。