A Technology-based Intervention With Retired People

NCT04422704 | Completed

• 1 other identifier: 2016/576
• Study Type: interventional
• Target: 31
• Locations: 1 country
• Sites: 1

Brief Summary

The main objective of the study is to understand retired people's perception of retirement, to know their personal experience and to jointly seek solutions to the needs and problems encountered. Secondarily, the aim is to understand the impact that an active aging program intervention implemented in retired people, based on the use of technology and considering the basis for the adaptation of the Prochaska and Diclemente Trans-Theoretical Model, can have in their quality of life.

Conditions

Aging; Retirement

Keywords

Older adults; Technological devices; Technology; Healthy Lifestyle; Quality of life

Outcome Measures

Primary Outcomes (1)

• Changes in quality of life

  EuroQol-5D: To measure the quality of life variable before and after intervention. This tool allows exploring the perception of each participant about their health status and quality of life. This scale measures three elements: A descriptive dimension divided into 5 dimensions: mobility, personal care, daily activities, pain/discomfort and anxiety/depression. The person must choose between one of the following levels of severity: 1 or absence of problems, 2 or presence of some problems, 3 or presence of serious or moderate problems. A visual analogue scale: the person indicates in a rule of 0 or worse health, to 100 or better health.

  Baseline and immediately after intervention (two months)

Secondary Outcomes (4)

• Behavioural adopted in terms of retirement

  One month before intervention

• Changes in behavioural adopted in terms of retirement

  Baseline and immediately after intervention (two months)

• Individual-interviews

  One month before intervention

• Group-interviews

  Immediately after intervention (1 month)

Study Arms (1)

Retired people

EXPERIMENTAL

People who are either ordinarily or early retired and who have previously held a paid employment.

Behavioral: Technology-based-Intervention

Interventions

Technology-based-Intervention BEHAVIORAL

The intervention is intended to address the concerns and needs that emerge from the participants' interviews. The intervention is based on the principles of the process of adaptation to retirement defined by Atchley and the Prochaska and Diclemente Model on the phases of preparation for retirement. The material to be used will be based on existing resources for retired people, awareness through multimedia material and knowledge of possible contributions of different technological devices to the retirement process. The sessions consisted of showing different exercises and devices to perform physical activities, cognitive training, relaxation activities, counselling about healthy eating and leisure-time activities.

Retired people

Eligibility Criteria

• Age: 61 Years - 74 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• People retired recently (since 10 years maximum)
• People who attend regularly the institution selected for recruitment, which is attended by retired people over the age of 60 years old.

You may not qualify if:

• People who present cognitive and psychological alterations that may interfere in the interview
• People who have not had paid employment
• People who have completed previously a preparation for retirement's program.

Sponsors & Collaborators

• Laura Nieto Riveiro: lead

Study Sites (1)

Universidade da Coruña

A Coruña, 15006, Spain

Location

Related Publications (13)

• Ye B, Chen H, Huang L, Ruan Y, Qi S, Guo Y, Huang Z, Sun S, Chen X, Shi Y, Gao J, Jiang Y. Changes in frailty among community-dwelling Chinese older adults and its predictors: evidence from a two-year longitudinal study. BMC Geriatr. 2020 Apr 10;20(1):130. doi: 10.1186/s12877-020-01530-x.

  PMID: 32272903 BACKGROUND

• Gschwind YJ, Eichberg S, Ejupi A, de Rosario H, Kroll M, Marston HR, Drobics M, Annegarn J, Wieching R, Lord SR, Aal K, Vaziri D, Woodbury A, Fink D, Delbaere K. ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial. Eur Rev Aging Phys Act. 2015 Nov 27;12:10. doi: 10.1186/s11556-015-0155-6. eCollection 2015.

  PMID: 26865874 BACKGROUND

• Hamm JM, Heckhausen J, Shane J, Lachman ME. Risk of cognitive declines with retirement: Who declines and why? Psychol Aging. 2020 May;35(3):449-457. doi: 10.1037/pag0000453. Epub 2020 Mar 16.

  PMID: 32175753 BACKGROUND

• Atchley RC. Adjustment to loss of job at retirement. Int J Aging Hum Dev. 1975;6(1):17-27. doi: 10.2190/EHU3-VCRV-VCRJ-04NU.

  PMID: 1150332 BACKGROUND

• Atchley RC. The meaning of retirement. J Commun. 1974 Autumn;24(4):97-100. doi: 10.1111/j.1460-2466.1974.tb00414.x. No abstract available.

  PMID: 4448858 BACKGROUND

• Park BH, Lee MS, Hong JY, Bae SH, Kim EY, Kim KK, Kim DK. The stages of physical activity and exercise behavior: an integrated approach to the theory of planned behavior. Asia Pac J Public Health. 2009 Jan;21(1):71-83. doi: 10.1177/1010539508327089. Epub 2008 Nov 17.

  PMID: 19124338 BACKGROUND

• Pazzim TA, Marin AH. Retirement preparation program: evaluation of results. Psicol Reflex Crit. 2017 Dec 8;30(1):24. doi: 10.1186/s41155-017-0079-3.

  PMID: 32026182 BACKGROUND

• Greig A, Dawes D, Murphy S, Parker G, Loveridge B. Program evaluation of a model to integrate internationally educated health professionals into clinical practice. BMC Med Educ. 2013 Oct 11;13:140. doi: 10.1186/1472-6920-13-140.

  PMID: 24119470 BACKGROUND

• Ballesteros S, Kraft E, Santana S, Tziraki C. Maintaining older brain functionality: A targeted review. Neurosci Biobehav Rev. 2015 Aug;55:453-77. doi: 10.1016/j.neubiorev.2015.06.008. Epub 2015 Jun 6.

  PMID: 26054789 BACKGROUND

• Hessel P. Does retirement (really) lead to worse health among European men and women across all educational levels? Soc Sci Med. 2016 Feb;151:19-26. doi: 10.1016/j.socscimed.2015.12.018. Epub 2015 Dec 15.

  PMID: 26773290 BACKGROUND

• Brown RT, Diaz-Ramirez LG, Boscardin WJ, Lee SJ, Steinman MA. Functional Impairment and Decline in Middle Age: A Cohort Study. Ann Intern Med. 2017 Dec 5;167(11):761-768. doi: 10.7326/M17-0496. Epub 2017 Oct 31.

  PMID: 29132150 BACKGROUND

• Klugar M, Cap J, Klugarova J, Mareckova J, Roberson DN, Kelnarova Z. The personal active aging strategies of older adults in Europe: a systematic review of qualitative evidence. JBI Database System Rev Implement Rep. 2016 May;14(5):193-257. doi: 10.11124/JBISRIR-2016-002393.

  PMID: 27532471 BACKGROUND

• Damant J, Knapp M, Freddolino P, Lombard D. Effects of digital engagement on the quality of life of older people. Health Soc Care Community. 2017 Nov;25(6):1679-1703. doi: 10.1111/hsc.12335. Epub 2016 Feb 25.

  PMID: 26919220 BACKGROUND

Related Links

• Official page of EuroQol Group who create the Quality of Life test.
• Retired people association.
• Data and analysis on population ageing.
• Brief Intervention in Preparation for Retirement.

Study Officials

• Laura Nieto-Riveiro, PhD

  Universidade da Coruña

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: PREVENTION
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Professor PhD

Study Record Dates

• First Submitted: May 3, 2020
• First Posted: June 9, 2020
• Study Start: January 1, 2017
• Primary Completion: June 1, 2017
• Study Completion: June 1, 2017
• Last Updated: October 8, 2020

Record last verified: 2020-10

Data Sharing

• IPD Sharing: Will not share

Locations

ES (1)