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Nano-Learning for Improving Compliance Among Older Adults With Sarcopenia

A

Alexandria University

Status

Active, not recruiting

Conditions

Learning; Lack of (Specific)
Older Adults
Depression
Sarcopenia

Treatments

Behavioral: Nano-Learning interventional program

Study type

Interventional

Funder types

Other

Identifiers

NCT07185763
7/9/2025

Details and patient eligibility

About

Empirical evidence suggests that the use of short videos is associated with decreased feelings of loneliness and social isolation, thereby reducing depression among older adults . Platforms that allow users to showcase aspects of their own lives also serve as a significant avenue for achieving "happiness in old age" and enhancing social interactions with acquaintances . Therefore, this study aims to provide robust evidence on the effectiveness of nano-learning interventions, particularly in the context of sarcopenia, where addressing physical and psychological well-being has become increasingly critical among this cohort.

Full description

Nanolearning is an innovative pedagogical strategy that delivers content in highly focused, ultra-short learning experiences, often lasting less than two minutes, aimed at teaching a single skill or topic . Typically offered digitally through bite-sized video lessons or interactive practice exercises, it capitalizes on learners' preference for short-form content and informal learning methods, making knowledge acquisition more accessible and manageable for busy individuals. A defining feature of nano-learning is its brevity, with lessons intentionally kept under two minutes to align with contemporary learning habits, such as engaging with short-form videos on platforms like YouTube Shorts and TikTok . Empirical evidence suggests that the use of short videos is associated with decreased feelings of loneliness and social isolation, thereby reducing depression among older adults . Platforms that allow users to showcase aspects of their own lives also serve as a significant avenue for achieving "happiness in old age" and enhancing social interactions with acquaintances . Therefore, this study aims to provide robust evidence on the effectiveness of nano-learning interventions, particularly in the context of sarcopenia, where addressing physical and psychological well-being has become increasingly critical among this cohort.

Enrollment

180 estimated patients

Sex

All

Ages

58 to 75 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Participants were eligible if they were 60 years or older,
  • had a diagnosis of sarcopenia based on a cut-off score of ≥3 of the Sarcopenia Geriatric Scale (SARCO-GS) (Rosas-Carrasco, 2023),
  • able to communicate effectively, and provided informed consent.

Exclusion criteria

  • Exclusion criteria encompassed severe cognitive impairment, debilitating chronic conditions, or unstable medical status that could hinder participation.
  • Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), with a cutoff score of 25 or below used to exclude participants (Nasreddine, 2005).

Trial design

Primary purpose

Supportive Care

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

180 participants in 2 patient groups

interventional group
Experimental group
Description:
• Recruitment was conducted through face-to-face interviews in the clinic's waiting areas by the research team. These initial meetings, lasting approximately 20-30 minutes per participant, were essential for building rapport, obtaining anthropometric and other objective data, and ensuring informed consent. During the interview, the researchers explained the purpose and procedures of the study in detail, collected participants' mobile phone numbers, and administered the baseline (pretest) assessment using the study tools.
Treatment:
Behavioral: Nano-Learning interventional program
control
No Intervention group
Description:
they will be exposed only to the routine care provided by the nursing homes.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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