Long COVID and Its Associations With Health Outcomes in Older Adults

NCT05825651 | Active Not Recruiting

• 1 other identifier: NNSF72211540398
• Study Type: observational
• Target: 11,527
• Locations: 1 country
• Sites: 1

Brief Summary

The Peking University Health Cohort in Anning, Yunnan (PKUHC-AN) is a prospective cohort study carried out in Anning, Yunnan. The primary aim of this study is to investigate the impact of COVID-19 on older adults' health, and to provide high-quality evidence of real world research for the optimization of prevention and control strategies of COVID-19 and other emerging infectious diseases. Data will be collected regarding health status, history of COVID-19 infections and vaccines, lifestyle and socioeconomic characteristics, as well as the short- and long-term health outcomes.

Conditions

Long COVID; COVID-19 Pandemic; Elderly Infection; Vaccine Reaction; Lifestyle Factors; Reinfection

Outcome Measures

Primary Outcomes (1)

• Incidence of long COVID

  The proportion of participants incurred any symptoms or diagnosed diseases of post-COVID in all infected participants.

  From baseline until the date of long COVID symptoms or date of death from any cause, whichever came first, assessed up to 12 months.

Secondary Outcomes (6)

• Reinfection incidence of COVID-19

  At 3 months, 6 months, 9 months, 1 year after baseline investigation.

• Cognitive impairment

  At 3 months, 6 months, 9 months, 1 year after baseline investigation.

• Depression

  At 3 months, 6 months, 9 months, 1 year after baseline investigation.

• Medical expenditure

  At 3 months, 6 months, 9 months, 1 year after baseline investigation.

• Incidence of catastrophic health expenditure

  At 3 months, 6 months, 9 months, 1 year after baseline investigation.

Study Arms (2)

Exposure group

Group with history of COVID-19 infections and vaccines, as well as health-related, behavioral, socioeconomic exposures.

Other: no interventions

Non-exposure group

Group without history of COVID-19 infections and vaccines, as well as health-related, behavioral, socioeconomic exposures.

Interventions

no interventions OTHER

This is an observational study without any intervention.

Exposure group

Eligibility Criteria

• Age: 60 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Older adults aged at least 60 years old living in Anning, Yunnan, China

You may qualify if:

• \. ≥60 years
• \. Resided in Anning in the past half year and have no plan to move out in next 1 year
• \. Older adults who are willing to participate in this study with informed consent

You may not qualify if:

• \. Unable to answer questions or communicate
• \. Older adults who are not willing to participate in this study or without informed consent

Sponsors & Collaborators

• Peking University: lead
• National Natural Science Foundation of China: collaborator

Study Sites (1)

Anning medical community

Kunming, Yunan, China

Location

MeSH Terms

Conditions

Post-Acute COVID-19 Syndrome; COVID-19; Reinfection

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases; Post-Infectious Disorders; Chronic Disease; Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Recurrence

Study Officials

• Jue Liu, Ph.D

  Peking University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Prof.

Study Record Dates

• First Submitted: March 26, 2023
• First Posted: April 24, 2023
• Study Start: April 24, 2023
• Primary Completion (Estimated): August 1, 2026
• Study Completion (Estimated): August 31, 2026
• Last Updated: December 12, 2024

Record last verified: 2024-12

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)