Fan Hao, Gao Xiang, Wang Haiping, Idomir Mihaela, Rogozea Liliana, Cazan Ana-Maria, Bidulescu Aurelian, Badea Mihaela
School of Public Health, Indiana University Bloomington, Bloomington, IN, USA.
Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA.
SAGE Open Med. 2020 Nov 20;8:2050312120973483. doi: 10.1177/2050312120973483. eCollection 2020.
We aimed to evaluate the association of risk factors such as smoking and professional status (students vs employed) as determinants of disparities in perceived wellness among Romanian individuals.
We conducted a cross-sectional study in which 145 participants were enrolled from December 2017 to February 2018, in Brasov, Brasov County, Transylvania, Romania. We used a simplified Perceived Wellness Survey model to measure the holistic individual perceived wellness status by professional and smoking status. Basic descriptive and multivariate analyses of variance were used to assess and contrast participants' characteristics and wellness score distributions. A factor analysis was used to estimate Kaiser-Meyer-Olkin values and calculate standardized Cronbach's coefficients.
The average age of our participants was 27.7 years. Compared with students, more employed participants tended to smoke electronic cigarettes ( < 0.0001). The association between professional status and perceived wellness was non-significant. Employed participants were nevertheless more likely to regard themselves as more proactive in dealing with emotional ( < 0.0001), environmental ( = 0.0042), and spiritual issues ( = 0.0039). Perceived physical wellness was statistically different by smoking status ( < 0.0001).
Among our study participants, there is an association between smoking and perceived wellness. For emotional, environmental, and spiritual domains, employed participants are more likely to regard themselves as more confident. Our study demonstrates the direct application of the Perceived Wellness Survey model in predicting the disparities of perceived wellness among young individuals. It allows health agencies to target disparity interventions among populations with high risk of low perceived wellness.
我们旨在评估吸烟和职业状况（学生与就业者）等风险因素作为罗马尼亚个体感知健康差异决定因素之间的关联。
我们于2017年12月至2018年2月在罗马尼亚特兰西瓦尼亚布拉索夫县布拉索夫进行了一项横断面研究，招募了145名参与者。我们使用简化的感知健康调查模型，按职业和吸烟状况来衡量个体整体感知健康状况。采用基本描述性分析和多变量方差分析来评估和对比参与者的特征及健康得分分布。使用因子分析来估计凯泽-迈耶-奥尔金值并计算标准化克朗巴哈系数。
我们参与者的平均年龄为27.7岁。与学生相比，更多就业参与者倾向于吸电子烟（<0.0001）。职业状况与感知健康之间的关联不显著。然而，就业参与者更有可能认为自己在处理情绪问题（<0.0001）、环境问题（=0.0042）和精神问题（=0.0039）方面更积极主动。按吸烟状况来看，感知身体健存在统计学差异（<0.0001）。
在我们的研究参与者中，吸烟与感知健康之间存在关联。在情绪、环境和精神领域，就业参与者更有可能认为自己更有信心。我们的研究证明了感知健康调查模型在预测年轻人感知健康差异方面的直接应用。它使卫生机构能够针对感知健康水平低风险高的人群进行差异干预。
