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SOC-based Behavioral Intervention to Promote Walking

SOC-based Behavioral Intervention to Promote Walking and Well-being Among Older Adults in Jiazhou, China

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07312331
Acronym
SOCWalk
Enrollment
350
Registered
2025-12-31
Start date
2025-02-01
Completion date
2025-06-30
Last updated
2025-12-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Older Adults, Older Adults (65 Years and Older)

Keywords

Selection, Optimization, and Compensation (SOC), walking behavior

Brief summary

Drawing on the Selection, Optimization, and Compensation (SOC) model of adaptive development, this study tested whether a structured behavioral intervention could enhance walking activity and well-being through improvements in self-regulatory strategy use.

Interventions

BEHAVIORALSOC-based walking intervention

A structured Selection, Optimization, and Compensation (SOC)-based workshop designed to promote adaptive self-regulation in the domain of physical activity, particularly walking

OTHERgeneral health education program

A general health education program that covered age-related topics such as nutrition, sleep, medication adherence, and mental well-being, but excluded any self-regulatory or goal-setting components.

Sponsors

Ling Yang
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
65 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

* Individuals were excluded if they had moderate-to-severe cognitive impairment, medical contraindications for walking, or planned relocation within six months.

Exclusion criteria

* Eligible participants were Chinese adults aged 65 years or older, lived in urban areas, could walk independently for at least 10 minutes, and had access to a mobile phone or WeChat (personally or through a family member).

Design outcomes

Primary

MeasureTime frameDescription
Walking behaviorFrom enrollment to the end of treatment at 8 weeksweekly minutes of walking

Secondary

MeasureTime frameDescription
SelectionFrom enrollment to the end of treatment at 8 weeksUse of SOC (Selection, Optimization, and Compensation strategies) questionnaire specific to walking, assessed with brief subscales (3-4 items each; 5-point Likert), at T0, T1, and T2. It assesses the self-regulatory strategies using a 12-item version of the Selection Questionnaire originally developed by Freund and Baltes (2002) and validated for use with Chinese older adults by Chou and Chi (2001). The instrument comprises three subscales-in this case we use the Selection scale-with four items rated on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree).
OptimizationFrom enrollment to the end of treatment at 8 weeksUse of SOC Selection, Optimization, and Compensation strategies Questionnaire specific to walking, assessed with brief subscales (3-4 items each; 5-point Likert), at T0, T1, and T2. For this outcome, we use the subscale Optimization, which self-regulatory strategies assessed using a list of Optimization items, originally developed by Freund and Baltes (2002) and validated for use with Chinese older adults by Chou and Chi (2001). The instrument comprises is rated on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree).
CompensationFrom enrollment to the end of treatment at 8 weeksUse of SOC Selection, Optimization, and Compensation strategies Questionnaire specific to walking, assessed with brief subscales (3-4 items each; 5-point Likert), at T0, T1, and T2. We use the Compensation subscale of self-regulatory strategies, that was originally developed by Freund and Baltes (2002) and validated for use with Chinese older adults by Chou and Chi (2001). The instrument is rated on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree).

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026