ClinicalTrials.gg
CompletedNCT03552328Updated Jul 22, 2019

Effects of a Volunteer-based Lunch Program on Feelings of Loneliness in Elders

An interventional study of Lunch with Medical Student and Control in Aged, Loneliness and Depression, sponsored by University of South Florida. Completed at 1 site in United States. Open to participants aged 60 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2019-07-22.

Sponsored by University of South Florida · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
16
Allocation
Randomized
Ages
60 Years and older
Sex
All
01

Study summary

Background: There is a need for stronger community involvement with the elderly, specifically those with feelings of loneliness. Large proportions of elders in previous studies reported feelings of loneliness, and loneliness at advanced ages is a growing trend seen within the last thirty years despite advances in technology and social media. We propose a randomized control trial to determine the effectiveness of a volunteer-based lunch program on decreasing feelings of loneliness in elderly participants.

Methods: Lonely elders in the community will be identified and matched with a trained medical student. Each student will bring provided lunches once a week to their elder participant's residence, and they will share lunch together for an hour once a week for six weeks. Enrollees are eligible for the study if they are over 60 years of age, speak English, have feelings of loneliness on the three-item scale, and display no cognitive impairment. The participants will be assessed pre and post intervention using the R-UCLA scale for loneliness, PHQ-9 for depressive symptoms, and GAD-7 for feelings of anxiety. Participant satisfaction will be assessed using Likert items as well as open-ended questions. Intervention group responses will be compared to responses of participants that did not receive the lunch meeting intervention.

Discussion: Success of such a companion lunch program would provide an effective route to combat loneliness in the elderly.

Read the detailed description

Since the 1960's, the elderly population in the United States has grown steadily. By 2030, one in three people in the U.S. will be over the age of 65. In addition to being at a greater risk for chronic disease, the elderly are also more vulnerable to being socially isolated and lonely. Simply living alone does not appear to be a significant predictor of loneliness, as the elderly could still have a strong support network while living alone, but prevalence data suggests that one in three adults over the age of 65 are lonely. Furthermore, the oldest of the elderly seem to be the loneliest. Dykstra et al. in a 2009 study estimate 40 to 50 percent of those aged 80 or older to be lonely.

Loneliness has been previously defined as the difference between desired and actual relationships, and there is a distinction between loneliness and social isolation. While being considered socially isolated is due to lack of social contact, loneliness is assessed by perceptions of social isolation. Feelings of disconnect, isolation, and not belonging are much more indicative of loneliness than simple aloneness and lack of social contact. Not having a support network or anyone to confide in can lead to feelings of social isolation, and despite advances in technology and the development of social media, feelings of loneliness have increased in the past thirty years. The proportion of Americans who said they had no one to talk to about important matters increased from 10% in 1985 to 25% in 2004. This is an alarming trend because social support has been consistently shown to increase the likelihood of survival. In a meta-analytic review from 2009, participants with strong social relationships and support were found to have a 50 percent increased likelihood of survival. Additionally, a 2013 study found that mortality rates were significantly higher among socially isolated and lonely elders. Loneliness has a profound effect on our healthcare system and has been linked to a higher degree of healthcare utilization. In a Swedish study from 2014, researchers found that lonely elders use more outpatient services than non-lonely elders. In 2015, Gerst et al. found that the large proportion of elders over 60 years old that reported feelings of loneliness had a significantly higher physician visit rate.

There is a demonstrated need for intervention in this lonely, elderly population, with significant public health implications. A randomized control trial from 1999 implementing a visitor volunteer program for the elderly showed that strong community involvement increased the participants' feelings of worth, social integration, and life satisfaction. More recently, a local food delivery project in Tampa showed that weekly food delivery to an at-risk elderly population decreased participants' feelings of loneliness and increased their measured well-being over the course of two months. While both pilot programs had short evaluation periods, they demonstrated the effectiveness of volunteer-based community involvement. Combining a visitor volunteer program with a food delivery service could serve to effectively combat the elderly community's feelings of loneliness and social isolation.

A local food delivery project in Tampa showed that weekly food delivery to an at-risk elderly population decreased participants' feelings of loneliness and increased their measured well-being over the course of two months. Even though it demonstrated the effectiveness of volunteer-based community involvement, the project was constructed as a pretest-posttest, descriptive study using convenience sampling, and feelings of loneliness were evaluated as a secondary objective using a three-item loneliness screener. In our study, we plan to measure the effects of adding a volunteer visitor to the lunch program; that is, to see if eating meals with a medical student can decrease feelings of loneliness when compared with simply receiving meals through Meals on Wheels. Our study is designed as a randomized control trial in which seniors will be randomly assigned to two groups: paired with a medical student for lunch or not paired with a medical student while still receiving meals.

02

Conditions studied

  • Aged
  • Loneliness
  • Depression
  • Anxiety
03

In context

Depression

8,245 studies on the registry are indexed under Depression; 1,641 are open to participants now.

This study's enrollment of 16 is below the median of 84 across 6,869 interventional studies indexed under Depression.

Browse Depression studies →

Lead sponsor

University of South Florida is the lead sponsor of 338 studies on the registry; 63 are open to participants now.

Of its 17 completed or terminated interventional studies of FDA-regulated products, 4 (24%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
60 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Enrollees are eligible for the study if they speak English, have feelings of loneliness on the three-item scale, are able to give written consent, and answer surveys.

Exclusion criteria

Exclusion Criteria:

  • Elders who are unable to give informed consent or complete trial documentation.
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Investigator, Outcomes assessor)
Enrollment
16 participants (actual)

Study arms

  • Experimental
    Intervention

    Seniors receiving daily meals from Meals on Wheels. Intervention: Lunch with Medical Student.

    Other: Lunch with Medical Student

  • Placebo comparator
    Control

    Seniors receiving daily meals from Meals on Wheels

    Other: Control

Interventions

  • OtherLunch with Medical Student

    Each student will bring provided lunches once a week to their elder participant's residence, and they will share lunch together for an hour once a week for six weeks. Students will enroll as Meals on Wheels volunteers and participate in the Meals on Wheels pre-program training. On the day of their scheduled lunch, students will first arrive at the Meals on Wheels designated meal-drop location and pick up two lunches, one for them and one for their assigned elder. They will then drive to their assigned elder's residence and eat lunch with them for one hour.

  • OtherControl

    Students will not bring provided lunches to an elder participant's residence. The elder participants in this arm will simply continue receiving daily meals from Meals on Wheels with no accompanying student.

06

What researchers measure

Primary outcomes

  1. Revised-UCLA (R-UCLA) Scale

    Investigators will measure change from baseline feelings of loneliness in elderly participants. Responses are scored from 20 (minimum) to 80 (maximum). Only total scores are reported. Lower values represent a better outcome, i.e. less feelings of loneliness.

    Time frame: Survey will be administered on both study groups twice; once before and once after the six-week period.

Secondary outcomes

  1. Patient Health Questionnaire-9 (PHQ-9)

    We will measure change from baseline feelings of depression in elderly participants. Responses are scored from 0 (minimum) to 27 (maximum). Only total scores are reported. Lower values represent a better outcome, i.e. less feelings of depression.

    Time frame: Survey will be administered on both study groups twice; once before and once after the six-week period.

  2. Generalized Anxiety Disorder 7-item (GAD-7) Scale

    We will measure change from baseline feelings of anxiety in elderly participants. Responses are scored from 0 (minimum) to 21 (maximum). Only total scores are reported. Lower values represent a better outcome, i.e. less feelings of anxiety.

    Time frame: Survey will be administered on both study groups twice; once before and once after the six-week period.

07

Study locations

1 site
  • Morsani College of Medicine
    Tampa, Florida 33620, United States
08

References and documents

Publications

  • Lawson, V. and K. Kinsella, Aging in the United States: Past, present, and future. 1996, International Programs Center, Population Division, US Bureau of the Census, Washington, DC.
  • Perissinotto CM, Stijacic Cenzer I, Covinsky KE. Loneliness in older persons: a predictor of functional decline and death. Arch Intern Med. 2012 Jul 23;172(14):1078-83. doi: 10.1001/archinternmed.2012.1993. PubMed 22710744 ↗
  • Dykstra PA. Older adult loneliness: myths and realities. Eur J Ageing. 2009 Jun;6(2):91-100. doi: 10.1007/s10433-009-0110-3. Epub 2009 Apr 4. PubMed 19517025 ↗
  • Hughes ME, Waite LJ, Hawkley LC, Cacioppo JT. A Short Scale for Measuring Loneliness in Large Surveys: Results From Two Population-Based Studies. Res Aging. 2004;26(6):655-672. doi: 10.1177/0164027504268574. PubMed 18504506 ↗
  • Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk: a meta-analytic review. PLoS Med. 2010 Jul 27;7(7):e1000316. doi: 10.1371/journal.pmed.1000316. PubMed 20668659 ↗
  • McPherson, M., L. Smith-Lovin, and M.E. Brashears, Social isolation in America: Changes in core discussion networks over two decades. American sociological review, 2006. 71(3): p. 353-375.
  • Steptoe A, Shankar A, Demakakos P, Wardle J. Social isolation, loneliness, and all-cause mortality in older men and women. Proc Natl Acad Sci U S A. 2013 Apr 9;110(15):5797-801. doi: 10.1073/pnas.1219686110. Epub 2013 Mar 25. PubMed 23530191 ↗
  • Taube E, Kristensson J, Sandberg M, Midlov P, Jakobsson U. Loneliness and health care consumption among older people. Scand J Caring Sci. 2015 Sep;29(3):435-43. doi: 10.1111/scs.12147. Epub 2014 May 14. PubMed 24826811 ↗
  • Gerst-Emerson K, Jayawardhana J. Loneliness as a public health issue: the impact of loneliness on health care utilization among older adults. Am J Public Health. 2015 May;105(5):1013-9. doi: 10.2105/AJPH.2014.302427. Epub 2015 Mar 19. PubMed 25790413 ↗
  • MacIntyre I, Corradetti P, Roberts J, Browne G, Watt S, Lane A. Pilot study of a visitor volunteer programme for community elderly people receiving home health care. Health Soc Care Community. 1999 May;7(3):225-232. doi: 10.1046/j.1365-2524.1999.00178.x. PubMed 11560637 ↗
  • Wright L, Vance L, Sudduth C, Epps JB. The Impact of a Home-Delivered Meal Program on Nutritional Risk, Dietary Intake, Food Security, Loneliness, and Social Well-Being. J Nutr Gerontol Geriatr. 2015;34(2):218-27. doi: 10.1080/21551197.2015.1022681. PubMed 26106989 ↗
  • Cattan M, Kime N, Bagnall AM. The use of telephone befriending in low level support for socially isolated older people--an evaluation. Health Soc Care Community. 2011 Mar;19(2):198-206. doi: 10.1111/j.1365-2524.2010.00967.x. Epub 2010 Nov 29. PubMed 21114564 ↗

Study documents

  • Study protocol · May 26, 2018
  • Informed consent form · Mar 14, 2018

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No — We will ensure that all data collected during the trial is handled confidentially and accessed only by members of the team. We will store participants' details on a secure database. We will assign participants an individual specific trial number and we will anonymize their details.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Oct 2018 to primary completion in Feb 2019, 4 months.

Of 3,016 non-industry interventional studies with no phase under Depression, half reached primary completion within 22 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 43. This study's 4 months is below that.

Counting every sponsor, half of 3,112 studies reached it within 22 months; a quarter within 10 and three quarters within 43.

How these figures are worked out, and which studies are left out of them.

Registered
May 26, 2018
First posted
Jun 11, 2018
StartActual
Oct 15, 2018
Primary completionActual
Feb 17, 2019
CompletionActual
May 15, 2019
Last update
Jul 22, 2019
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jul 22, 2019, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03552328
Collaborators
The Arnold P. Gold Foundation
Responsible party
Brennan Ninesling (Medical Student, University of South Florida) — Principal investigator
First posted
Jun 11, 2018
Start date
Oct 15, 2018
Primary completion
Feb 17, 2019
Completion
May 15, 2019
Last update
Jul 22, 2019

Study contacts

Lucy Guerra, MD, MPH
study director · Associate Professor, USF College of Medicine Internal Medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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