Individual-Level Determinants of Lifestyle Behavioral Changes during COVID-19 Lockdown in the United States: Results of an Online Survey.

Individual-Level Determinants of Lifestyle Behavioral Changes during COVID-19 Lockdown in the United States: Results of an Online Survey.
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DOI:
10.3390/ijerph18084364
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发表时间:
2021-04-20
影响因子:
--
通讯作者:
Badr H
Badr H
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Zhang X;Oluyomi A;Woodard L;Raza SA;Adel Fahmideh M;El-Mubasher O;Byun J;Han Y;Amos CI;Badr H

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这项研究调查了美国在 COVID-19 最初封锁期间自我报告的健康(饮食和体力活动)和成瘾(饮酒、吸烟和电子烟)生活方式变化的个人水平决定因素。 2020 年 5 月至 6 月期间进行了一项全国性在线调查,以具有代表性的美国样本为对象,获得了 1276 名受访者的数据,其中包括 58% 的男性和 50% 的少数族裔/族裔。我们使用单变量和多变量线性回归模型来研究社会人口、心理健康和行为决定因素与自我报告的生活方式行为变化之间的关联。一些研究参与者报告说,自大流行以来,健康的生活方式行为有所增加(即健康饮食行为增加了 36%,体力活动增加了 33%)。然而,他们还报告说,成瘾的生活方式行为有所增加,包括饮酒(40%)、吸烟(41%)和电子烟(46%)。就个人层面的决定因素而言,报告遵守社交距离准则的个人也更有可能报告健康生活方式行为有所增加(β = 0.12,95% CI 0.04 至 0.21)。相反,女性(β = -0.37,95% CI -0.62 至 -0.12)和失业者(β = -0.33,95% CI -0.64 至 -0.02)报告健康生活方式行为增加的可能性较小。此外,报告焦虑的个体更有可能报告成瘾行为增加(β = 0.26,95% CI 0.09 至 0.43)。总而言之,这些研究结果表明,妇女和失业者可能会受益于针对饮食和身体活动的干预措施,而报告焦虑的个人可能会受益于针对戒烟和戒酒的干预措施,以应对大流行期间生活方式的改变。
This study examined individual-level determinants of self-reported changes in healthy (diet and physical activity) and addictive (alcohol use, smoking, and vaping) lifestyle behaviors during the initial COVID-19 lockdown period in the USA. A national online survey was administered between May and June 2020 that targeted a representative U.S. sample and yielded data from 1276 respondents, including 58% male and 50% racial/ethnic minorities. We used univariate and multivariable linear regression models to examine the associations of sociodemographic, mental health, and behavioral determinants with self-reported changes in lifestyle behaviors. Some study participants reported increases in healthy lifestyle behaviors since the pandemic (i.e., 36% increased healthy eating behaviors, and 33% increased physical activity). However, they also reported increases in addictive lifestyle behaviors including alcohol use (40%), tobacco use (41%), and vaping (46%). With regard to individual-level determinants, individuals who reported adhering to social distancing guidelines were also more likely to report increases in healthy lifestyle behaviors (β = 0.12, 95% CI 0.04 to 0.21). Conversely, women (β = −0.37, 95% CI −0.62 to −0.12), and unemployed individuals (β = −0.33, 95% CI −0.64 to −0.02) were less likely to report increases in healthy lifestyle behaviors. In addition, individuals reporting anxiety were more likely to report increases in addictive behaviors (β = 0.26, 95% CI 0.09 to 0.43). Taken together, these findings suggest that women and unemployed individuals may benefit from interventions targeting diet and physical activity, and that individuals reporting anxiety may benefit from interventions targeting smoking and alcohol cessation to address lifestyle changes during the pandemic.
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