Health behaviour and wellbeing trends among Australian adults before and during the COVID-19 pandemic (2017–2022): An interrupted time-series analysis

IF 2.4 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Sarah Marshall , Bronwyn McGill , Christian Young , Philip Clare , Sarah Neill , Margaret Thomas , Adrian Bauman
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引用次数: 0

Abstract

Objective

To explore population-level trends in health behaviours and wellbeing indicators from before (2017–2019) to during (2020–2022) the COVID-19 pandemic in Australia.

Methods

Using cross-sectional data from New South Wales Adult Population Health Surveys (2017–2022, n = 73,680 responses), we calculated weighted prevalence estimates and interrupted time-series logit models to investigate trends in health behavioural risk factors (vegetable and fruit intake, physical activity, alcohol consumption, smoking, e-cigarette use), Body Mass Index (BMI) (overweight and obesity), and wellbeing indicators (psychological distress, self-rated health) among adults aged ≥ 16 years before and during the pandemic.

Results

From 2017 to 2022, the behavioural risk factors and BMI trends were mostly unchanged. Similarly, wellbeing indicator trends showed only minor variations according to age. The interrupted time-series models found marked changes from before to during the COVID-19 pandemic for e-cigarette use and self-rated health. E-cigarette use showed an overall increasing trend, with significant increases from 2017 to 2022 (OR 8.25, 95 %CI 6.10–11.16). Poor self-rated health showed a stable trend before COVID-19, but decreased in 2020 (OR 0.68, 95 %CI 0.58–0.80) and 2021 (OR 0.70, 95 %CI 0.60–0.81), returning to pre-COVID levels in 2022 (OR 1.23, 95 %CI 1.07–1.41). During the pandemic (2020–2022), there were few statistically significant observed changes in prevalence trends according to SES indicators.

Conclusion

Among Australian adults, relatively small population-level impacts of the COVID-19 pandemic on health behaviours and wellbeing trends were observed. Continued surveillance and sub-group analyses are essential for investigating potential time-lagged effects and regional or sociodemographic differences in health behaviours and wellbeing.

COVID-19 大流行之前和期间(2017-2022 年)澳大利亚成年人的健康行为和福祉趋势:间断时间序列分析
目的探讨澳大利亚 COVID-19 大流行之前(2017-2019 年)至期间(2020-2022 年)的人群健康行为和幸福指标趋势。方法利用新南威尔士州成人人口健康调查(2017-2022 年,n = 73,680 个回答)的横断面数据,我们计算了加权流行率估计值和间断时间序列 logit 模型,以研究大流行之前和期间年龄≥ 16 岁的成年人的健康行为风险因素(蔬菜和水果摄入量、体育锻炼、饮酒、吸烟、电子烟使用)、体重指数(BMI)(超重和肥胖)和健康指标(心理困扰、自评健康)的趋势。结果从 2017 年到 2022 年,行为风险因素和体重指数趋势基本保持不变。同样,福祉指标的趋势也仅因年龄不同而略有变化。间断时间序列模型发现,从 COVID-19 大流行之前到期间,电子烟使用和自我健康评价发生了明显变化。电子烟的使用呈总体上升趋势,从 2017 年到 2022 年显著增加(OR 8.25,95 %CI 6.10-11.16)。在 COVID-19 之前,自我健康评价不佳呈稳定趋势,但在 2020 年(OR 0.68,95 %CI 0.58-0.80)和 2021 年(OR 0.70,95 %CI 0.60-0.81)有所下降,2022 年恢复到 COVID 前的水平(OR 1.23,95 %CI 1.07-1.41)。在大流行期间(2020-2022 年),根据社会经济地位指标观察到的流行趋势变化几乎没有统计学意义。继续监测和分组分析对于调查潜在的时滞效应以及健康行为和福利方面的地区或社会人口差异至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Preventive Medicine Reports
Preventive Medicine Reports Medicine-Public Health, Environmental and Occupational Health
CiteScore
3.90
自引率
0.00%
发文量
353
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