Just-in-time Adaptive Feedback Systems to Assist Individuals With Spinal Cord Injury

Lack of regular physical activity (PA) in the general population is a top public health
concern, and this problem is even more acute among individuals with spinal cord injury (SCI).
Research has shown that only a small percentage (<20%) of persons with SCI reported
consistent PA. Individuals with SCI also experience secondary conditions such as pain,
fatigue, weight gain, and deconditioning, conditions that are considered preventable through
PA and exercise interventions.

The objective of this proposed study is to develop algorithms that incorporate each
individual's PA level and a clinician's PA level recommendation to provide a mobile phone
application that helps a person set PA goals that are safe, but also highly personalized. By
adapting the goals in real-time based on the person's actual behavior, the system aims to
keep the individual feeling positive and motivated.

Aim 1: Extend and utilize Physical Activity Monitor System (PAMS) to track PA levels,
sedentary behavior, and secondary conditions such as pain, fatigue, and deconditioning in
community settings.

Aim 2: Extend and utilize PAMS to passively monitor PA and provide continuous, but passive
feedback about PA levels to individuals with SCI in community settings.

Aim 3: Extend and utilize PAMS to passively monitor PA and provide just-in-time persuasive
and adaptive feedback to motivate individuals with SCI in community settings.

Sample size: A total of 20 individuals with SCI will take part in the study. The sample size
for this pilot study is based on budget constraints and other pilot studies. This study will
provide the pilot data required to compute the power for future studies.

Statistical Analysis: Univariate analysis will be performed to obtain a range of values and
the central tendency for variables such as PA levels and sedentary behaviors. Sedentary
behavior will be assessed by the time duration of non-movement of individuals with SCI and
not just the total duration of being seated in their wheelchairs.

The investigators hypothesize that the PA level of individuals with SCI in community will be
low compared to the PA level recommendations for individuals with disabilities in general.
Furthermore, the sedentary behavior of individuals with SCI will be high compared to the
general population.

Multiple regression analysis will be performed to assess a relationship between secondary
conditions such as pain (scores), fatigue (scores), and deconditioning (reduced capacity
scores) and PA levels. The investigators postulate that secondary conditions will be
negatively correlated with the PA levels.

Repeated measures general linear model (GLM) analysis will be performed to assess the change
in PA levels, sedentary behaviors and secondary conditions. In addition, linear mixed model
analysis will be performed to develop a personal intercept (and maybe slope) for each
participant compared to the mean intercept for each group. Mixed effects model analysis will
provide correct estimates of intervention (passive feedback and just-in-time adaptive
feedback) and other fixed effects (within-subjects factor) in the presence of correlated data
(each participant at different time points) that arise from a data hierarchy (group).
Non-parametric tests will be performed if the assumptions for parametric tests are not met.

Inclusion Criteria:

- between 18-65 years of age

- have been diagnosed with spinal cord injury

- are at least 6 months post injury

- use a manual wheelchair as their primary means of mobility (>80% of the time)

- self-propel their wheelchair

- are medically stable

- have experience using a smartphone.

Exclusion Criteria:

- have active pelvic or thigh wounds (pressure ulcers)

- have a history of cardiovascular disease

- are pregnant (self-report).