ASSESSING THE PREDICTIVE POWER OF VOLUNTEER FREQUENCY CATEGORIES ON HEALTH: AN OUTCOME-WIDE APPROACH
2024

The Impact of Volunteer Frequency on Health Outcomes

Sample size: 17062 publication Evidence: moderate

Author Information

Author(s): Nemeth Samuel, Kim Seoyoun, Halvorsen Cal, Patel Isha

Primary Institution: Rutgers School of Public Health

Hypothesis

How do different categorizations of volunteering frequency predict health outcomes?

Conclusion

Different ways of measuring volunteering frequency can affect the perceived health benefits of volunteering, but the overall conclusion about its benefits remains unchanged.

Supporting Evidence

  • As the number of levels of volunteering increased, the estimated effects on health became more attenuated.
  • Multiple categories of volunteering explain a larger proportion of variance in health outcomes more effectively.
  • The substantive conclusions for the health benefits of volunteering did not change regardless of the measurement strategy used.

Takeaway

Volunteering can help you feel better and healthier, but how we measure how often people volunteer can change the results a bit.

Methodology

A longitudinal outcome-wide analysis using panel data from the Health and Retirement Study from 2006-2016.

Limitations

The study does not recommend a single best practice for measuring volunteering frequency.

Participant Demographics

Nationally representative panel data from the Health and Retirement Study.

Statistical Information

Confidence Interval

Tighter confidence intervals were observed with more categories of volunteering.

Digital Object Identifier (DOI)

10.1093/geroni/igae098.4120

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