The MIPAM trial - motivational interviewing and physical activity monitoring to enhance the daily level of physical activity among older adults - a randomized controlled trial

A feasibility study using motivational interviewing and a smartphone application to promote physical activity (+Stay-Active) for women with gestational diabetes

BACKGROUND

Physical activity (PA) interventions have an encouraging role in gestational diabetes mellitus (GDM) management. Digital technologies can potentially be used at scale to support PA. The aim of this study was to assess the feasibility and acceptability of + Stay-Active: a complex intervention which combines motivational interviewing with a smartphone application to promote PA levels in women with GDM.

METHODS

This non-randomised feasibility study used a mixed methods approach. Participants were recruited from the GDM antenatal clinic at Oxford University Hospitals. Following baseline assessments (visit 1) including self-reported and device determined PA measurements (wrist worn accelerometer), women participated in an online motivational interview, and then downloaded (visit 2) and used the Stay-Active app (Android or iOS). Women had access to Stay-Active until 36 weeks' gestation, when acceptability and PA levels were reassessed (visit 3). The primary outcome measures were recruitment and retention rates, participant engagement, and acceptability and fidelity of the intervention. Secondary outcome measures included PA levels, app usage, blood glucose and perinatal outcomes. Descriptive statistics were performed for assessments at study visits. Statistics software package Stata 14 and R were used.

RESULTS

Over the recruitment period (46 weeks), 114 of 285 women met inclusion criteria and 67 (58%) enrolled in the study. Mean recruitment rate of 1.5 participants/clinic with 2.5 women/clinic meeting inclusion criteria. Fifty-six (83%) received the intervention at visit 2 and 53 (79%) completed the study. Compliance to accelerometer measurement protocols were sufficient in 78% of participants (52/67); wearing the device for more than 10 h on 5 or more days at baseline and 61% (41/67) at 36 weeks. There was high engagement with Stay-Active; 82% (55/67) of participants set goals on Stay-Active. Sustained engagement was evident, participants regularly accessed and logged multiples activities on Stay-Active. The intervention was deemed acceptable; 85% of women rated their care was satisfactory or above, supported by written feedback.

CONCLUSIONS

This combined intervention was feasible and accepted. Recruitment rates were lower than expected. However, retention rates remained satisfactory and participant compliance with PA measurements and engagement was a high. Future work will explore the intervention's efficacy to increase PA and impact on clinical outcomes.

TRIAL REGISTRATION

The study has received a favourable opinion from South Central-Hampshire B Research Ethics Committee; REC reference: 20/SC/0342. ISRCTN11366562.

The association between physical activity and quality of life among people aged 60-89 living in own homes and nursing homes

BACKGROUND

The aim of the study was to obtain a response to the question of whether and how physical activity (PA) among people aged 60-89 years impacts quality of life and other sociodemographic characteristics (sex, age and place of living).

METHODS

Among 341 respondents aged 60 to 89, including 273 women (80%) and 68 men (20%) successfully completed IPAQ and WHOQOL AGE questionnaires. In the study were used International Physical Activity Questionnaire - IPAQ and World Health Organization Quality Of Life - Age - WHOQOL-AGE in Polish version.

RESULTS

The average total physical activity, including vigorous-intensity physical effort, moderate-intensity physical effort and walking amounts to 1381.87 ± 1978.60 MET-min/week. The average quality of life for the whole group of older people as evaluated with WHOQOL AGE scale was 64.79 (SD = 14.76; min:18.77-max: 98.07). Statistical analysis between physical activity and life quality proved significant dependence for the global life quality rating (p < 0.001).

CONCLUSIONS

Our research has shown that PA improves quality of life among older people. Higher scores of quality of life were obtained in the F1 subscale (satisfaction) than in the F2 subscale (meeting expectations) in both age groups. Age significantly affects quality of life for older people.

Motivational interviewing-an evidence-based, collaborative, goal-oriented communication approach in lifestyle medicine: A comprehensive review of the literature

The global threat of noncommunicable diseases (NCDs) is alarmingly increasing. The health and economic burden of improper lifestyle choices is immense. Reducing modifiable risk factors has been demonstrated to significantly prevent chronic diseases. At this crucial time, lifestyle medicine (LM) has been recognized as an evidence-based medical domain applicable to NCDs. Among the tools used in LM, motivational interviewing (MI) is a patient-centered, collaborative counseling approach. In this evidence-based review article, we discuss recent literature on the application of MI in the six LM pillars defined by the British Society of LM (BSLM): healthy eating, mental wellbeing, healthy relationships, physical activity, minimizing harmful substances, and sleep. MI helps strengthen patients' motivation to ameliorate behaviorally influenced health problems, improve treatment adherence, and optimize medical interventions. Technically correct, theoretically congruent, and psychometrically sound MI interventions yield satisfactory outcomes and help improve patient quality of life. Lifestyle change is often a gradual process involving multiple efforts and setbacks. MI is based on the idea that change is a process rather than an event. Extensive literature evidence supports the benefits of MI treatment, and interest in research on MI application is increasing across all BSLM pillars. MI helps people alter their thoughts and feelings about making changes by recognizing obstacles to change. Even interventions of short duration have been reported to yield better outcomes. Healthcare professionals must understand the relevance and importance of MI in clinical practice.

Effects of non-pharmacological interventions on loneliness among community-dwelling older adults: A systematic review, network meta-analysis, and meta-regression

BACKGROUND

The highly prevalent late-life loneliness, together with its deleterious health impacts, calls for increasing attention to the need for effective interventions targeting on this growing public health problem. With the increasing evidence on interventions for combating loneliness, it is timely to identify their comparative effectiveness.

OBJECTIVE

This systematic review, meta-analysis and network meta-analysis was to identify and compare the effects of various non-pharmacological interventions on loneliness in community-dwelling older adults.

METHODS

Systematic search was conducted in nine electronic databases from inception to 30th March 2023 for studies investigating the effects of non-pharmacological interventions on loneliness among community-dwelling older adults. The interventions were categorized according to the nature and purpose of use. Pairwise meta-analysis and network meta-analyses were sequentially performed to identify the effects of each category of interventions and their comparative intervention effectiveness, respectively. Meta-regression was performed to examine any influence of study design and participants' characteristics on the intervention effectiveness. The study protocol was registered at PROSPERO (CRD42022307621).

RESULTS

A total of 60 studies with 13,295 participants were included. The interventions were categorized as psychological interventions, social support interventions (by digital and non-digital means), behavioral activation, exercise intervention with and without social engagement, multi-component intervention and health promotion. Pairwise meta-analysis identified the positive effect of psychological interventions (Hedges' g = -2.33; 95%CI [-4.40, -0.25]; Z = -2.20, p = 0.003), non-digital social support interventions (Hedges' g = -0.63; 95%CI [-1.16, -0.10]; Z = 2.33, p = 0.02) and multi-component interventions (Hedges' g = -0.28 95%CI [-0.54, -0.03]; Z = -2.15, p = 0.03) on reducing loneliness. Subgroup analysis provided additional insights: i) social support and exercise interventions which integrated active strategies to optimize the social engagement demonstrated more promising intervention effects; ii) behavioral activation and multicomponent interventions worked better for older adults who were male or reported loneliness, respectively, and iii) counseling-based psychological interventions was more effective than mind-body practice. Network meta-analysis consistently pointed to the greatest therapeutic benefits of psychological interventions, and this was followed by exercise-based interventions, non-digital social support interventions and behavioral activation. Meta-regression further suggested that the therapeutic effects of the tested interventions were independent of the various factors relating to study design and participants' characteristics.

CONCLUSIONS

This review highlights the more superior effects of psychological interventions in improving loneliness among older adults. Interventions which have an attribute to optimize social dynamic and connectivity may also be effective.

TWEETABLE ABSTRACT

Psychological intervention is the best to beat late-life loneliness, but increasing social dynamic and connectivity may add an impact.

Do physical activity interventions combining self-monitoring with other components provide an additional benefit compared with self-monitoring alone? A systematic review and meta-analysis

Objective

To determine the net effect of different physical activity intervention components on step counts in addition to self-monitoring.

Design

A systematic review with meta-analysis and meta-regression.

Data sources

Five databases (PubMed, Scopus, Web of Science, ProQuest and Discus) were searched from inception to May 2022. The database search was complemented with backward and forward citation searches and search of the references from relevant systematic reviews.

Eligibility criteria

Randomised controlled trials comparing an intervention using self-monitoring (active control arm) with an intervention comprising the same treatment PLUS any additional component (intervention arm).

Data extraction and synthesis

The effect measures were mean differences in daily step count. Meta-analyses were performed using random-effects models, and effect moderators were explored using univariate and multivariate meta-regression models.

Results

Eighty-five studies with 12 057 participants were identified, with 75 studies included in the meta-analysis at postintervention and 24 at follow-up. At postintervention, the mean difference between the intervention and active control arms was 926 steps/day (95% CI 651 to 1201). At a follow-up, the mean difference was 413 steps/day (95% CI 210 to 615). Interventions with a prescribed goal and involving human counselling, particularly via phone/video calls, were associated with a greater mean difference in the daily step count than interventions with added print materials, websites, smartphone apps or incentives.

Conclusion

Physical activity interventions that combine self-monitoring with other components provide an additional modest yet sustained increase in step count compared with self-monitoring alone. Some forms of counselling, particularly remote phone/video counselling, outperformed other intervention components, such as websites and smartphone apps.

PROSPERO registered number

CRD42020199482.