The Impact of Lifestyle Changes on Non-COVID Deaths

The Impact of Lifestyle Alteration by Strict Prevention Measures on Non-COVID Deaths in the Region With Low COVID-19 Transmission Rate

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04550312

Enrollment

80000

Registered

2020-09-16

Start date

2020-09-30

Completion date

2020-10-31

Last updated

2020-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lifestyle Alteration, Non-COVID Deaths

Brief summary

The increase of all-cause mortality in the areas with high COVID-19 transmission rate due to COVID-19 deaths and the collateral damage to other healthcare problems is well known. However, the COVID-19 mortality is very low in the regions with low transmission rate and sufficient medical resources. In such regions, strict prevention measures were taken and these would alter the people's lifestyle and hygienic habits and further impact on non-COVID-19 deaths. Yet, there has no thorough investigation in this aspect.

Detailed description

Background The increase of all-cause mortality in the areas with high COVID-19 transmission rate due to COVID-19 deaths and the collateral damage to other healthcare problems is well known. However, the COVID-19 mortality is very low in the regions with low transmission rate and sufficient medical resources. In such regions, strict prevention measures were taken and these would alter the people's lifestyle and hygienic habits and further impact on non-COVID-19 deaths. Yet, there has no thorough investigation in this aspect. Methods The number of registered deaths among 8.8 million permanent residents with specific causes from January 2018 to June 2020 were sourced from the Xuzhou Center for Disease Control and Prevention, Jiangsu Province, China. Death rates were calculated and compared by weeks, months, and years with a focus on the period of COVID-19 pandemic from Jan 24 to March 27, 2020. Numeric values of all-cause death and the death rates of non-COVID diseases were compared in time series at different time scales.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Healthy volunteers

Yes

Inclusion criteria

* All cases of death reported to the Xuzhou CDC during the study period

Exclusion criteria

* no

Design outcomes

Primary

Measure	Time frame
Numeric values of all-cause death and the death rates of non-COVID diseases	from January 2018 to June 2020

Countries

China

Contacts

Primary Contactming chu, PHD

chuming@njmu.edu.cn86-2568136965

Outcome results