School of Health Management, Inner Mongolia Medical University, Hohhot, 010110, China.
West China School of Public Health, Sichuan University, Chengdu, 610041, China.
BMC Public Health. 2021 Dec 11;21(1):2268. doi: 10.1186/s12889-021-12309-z.
Preventive risk factors such as smoking, drinking, and unhealthy weight have contributed to the accelerated rise in noncommunicable chronic diseases, which are dominant drivers of health care utilization and spending in China. However, few studies have been conducted using a large longitudinal dataset to explore the impact of such preventive risk factors on health care utilization. Therefore, this study aimed to ascertain the effects of smoking, regular drinking, and unhealthy weight on health care utilization in China.
This research was a longitudinal study using data from five waves of the China Family Panel Studies (CFPS) conducted between 2010 and 2018, and the final sample consisted of 63,260 observations (12,652 participants) across all five waves of data collection. Health care utilization was measured from two perspectives: outpatient utilization and inpatient utilization. Smoking status was categorized as never smoker, former smoker, or current smoker. Unhealthy weight was classified based on the participants' body mass index. A fixed effects logistic regression model was used for the analysis.
The results of fixed effects logistic regression showed that current and former smokers were approximately 1.9 times and 2.0 times more likely to use outpatient care than those who never smoked, respectively (odds ratio (OR) = 1.88, p < 0.05; OR = 2.03, p < 0.05). Obese people were approximately 1.3 times more likely to use outpatient care than healthy weight people (OR = 1.26, p < 0.05). Moreover, the results show that compared to those who never smoked, for current and former smokers, the odds of being hospitalized increased by 42.2 and 198.2%, respectively (OR = 1.42; p < 0.1, OR = 2.98; p < 0.05). Compared to healthy weight people, overweight and obese people were also more likely to be hospitalized (OR = 1.11; p < 0.1, OR = 1.18; p < 0.1, respectively).
Among Chinese adults, current and former smokers were more likely to use outpatient and inpatient care than those who had never smoked. Moreover, compared to healthy weight people, obese people were more likely to use outpatient and inpatient care, and overweight people were more likely to use inpatient care. These results may have important implications that support the government in making health care resource allocation decisions.
在中国,吸烟、饮酒和不健康体重等预防风险因素导致非传染性慢性病迅速上升,这些疾病是医疗保健利用和支出的主要驱动因素。然而,利用大型纵向数据集来研究这些预防风险因素对医疗保健利用的影响的研究较少。因此,本研究旨在确定吸烟、有规律的饮酒和不健康体重对中国医疗保健利用的影响。
这是一项使用中国家庭追踪调查(CFPS)2010 年至 2018 年五次调查数据的纵向研究,最终样本由五次数据收集的 12652 名参与者的 63260 次观测值组成。医疗保健利用从两个方面进行衡量:门诊利用和住院利用。吸烟状况分为从不吸烟者、前吸烟者和现吸烟者。根据参与者的体重指数将不健康体重分为超重和肥胖。采用固定效应逻辑回归模型进行分析。
固定效应逻辑回归结果显示,现吸烟者和前吸烟者使用门诊服务的可能性分别约为从不吸烟者的 1.9 倍和 2.0 倍(比值比(OR)=1.88,p<0.05;OR=2.03,p<0.05)。肥胖者使用门诊服务的可能性约为健康体重者的 1.3 倍(OR=1.26,p<0.05)。此外,结果表明,与从不吸烟者相比,现吸烟者和前吸烟者住院的可能性分别增加了 42.2%和 198.2%(OR=1.42;p<0.1,OR=2.98;p<0.05)。与健康体重者相比,超重者和肥胖者住院的可能性也更高(OR=1.11;p<0.1,OR=1.18;p<0.1)。
在中国成年人中,现吸烟者和前吸烟者比从不吸烟者更有可能使用门诊和住院服务。此外,与健康体重者相比,肥胖者更有可能使用门诊和住院服务,超重者更有可能使用住院服务。这些结果可能具有重要意义,支持政府在医疗保健资源配置决策方面的决策。