Warwick Evidence, Warwick Medical School (WMS), University of Warwick, Coventry, CV47AL, UK.
Warwick Medical School (WMS), University of Warwick, Coventry, CV47AL, UK.
BMC Public Health. 2023 Jul 5;23(1):1294. doi: 10.1186/s12889-023-16135-3.
The COVID-19 pandemic had a wide range of effects on the English population, including on health and quality of life due to the subsequent lockdown restrictions set.
To investigate longitudinal changes in developing cardiovascular disease (CVD) and how that affects quality of life from pre-pandemic and during two lockdowns in England, in adults aged 50 years and above, and what factors are associated with this.
Wave 9 of the core English Longitudinal Study of Ageing (ELSA) and Waves 1 and 2 of the ELSA COVID-19 sub-study were used to investigate the factors associated with developing CVD between timepoints, and what factors alongside CVD are associated with quality of life.
Higher age and depression were associated with newly-developed CVD from pre-COVID to both COVID sub-study waves. Additionally, body mass index (BMI) increased odds of CVD and physical activity decreased odds. Non-White ethnicity, depression, females, and developing CVD were lower associated with quality of life. Decreased age and increased physical activity were associated with higher quality of life.
Ethnicity was not associated with newly-developed CVD but was associated with quality of life. Other factors of importance include age, depression, gender, and physical activity. Findings are informative for future risk stratification and treatment strategies, especially while the COVID-19 pandemic is ongoing.
由于随后实施的封锁限制,COVID-19 大流行对英国人口的健康和生活质量产生了广泛影响。
调查英格兰 50 岁及以上成年人在大流行前和两次封锁期间心血管疾病(CVD)的发展变化及其对生活质量的影响,以及哪些因素与之相关。
使用核心英国老龄化纵向研究(ELSA)的第 9 波和 ELSA COVID-19 子研究的第 1 波和第 2 波,调查在时间点之间与 CVD 发展相关的因素,以及与 CVD 相关的哪些因素与生活质量相关。
从 COVID 前到 COVID 子研究波,较高的年龄和抑郁与新发生的 CVD 相关。此外,身体质量指数(BMI)增加了 CVD 的几率,而身体活动则降低了 CVD 的几率。非白种人、抑郁、女性和发生 CVD 与生活质量的相关性较低。年龄下降和身体活动增加与更高的生活质量相关。
种族与新发生的 CVD 无关,但与生活质量有关。其他重要因素包括年龄、抑郁、性别和身体活动。这些发现为未来的风险分层和治疗策略提供了信息,特别是在 COVID-19 大流行仍在继续的情况下。