Watch Now: State Board of Education intervenes in new academic standards-setting for health, physical education | Local News

Watch Now: State Board of Education intervenes in new academic standards-setting for health, physical education | Local News

Gubernatorial appointees on the Oklahoma Condition Board of Instruction took an unparalleled action on Thursday and intervened in the state’s procedure of getting specialist educators and topic matter gurus build educational expectations for general public universities.

In this instance, proposed new overall health training and physical schooling requirements essential by the new passage of two new point out rules ended up on the table.

Alternatively than approve or disapprove the proposed standards, four board members voted to hold in position current well being and P.E. specifications and include only the pro committee’s “proposed goals dealing with psychological overall health.”

Soon after the meeting, Condition Superintendent Pleasure Hofmeister explained: “Frankly, when folks inquire why lecturers are demoralized, it is simply because of disrespect, and this is an instance of that. This leaves us with a large mess.”

The four members who voted for the move ended up Brian Bobek, freshly appointed and seated board member Sarah Lepak, Jennifer Monies and Trent Smith.

People are also reading…

  • Jury finds gentleman who dated 16-12 months-previous responsible of coercion of a small, child porn charges
  • Corridor of Fame deserving: 1997 Trojans, Cale Gundy, Nancy Lopez, Tommy Morrison and other individuals
  • Ramp closures, bridge replacements to tie up targeted visitors in west Tulsa, Owasso
  • Bill Haisten: Nick Sidorakis is a Southern Hills asset and a $143 million hero for Tulsa
  • Enormous LED display screen planned at Santa Fe Sq., ‘a focal issue for general public gathering,’ developer Elliot Nelson states
  • Texas condition troopers who do not shrink waists could be pulled off responsibilities
  • Editorial: It is really easy to blame large fuel price ranges on presidents, but it can be not that uncomplicated
  • ‘A really undesirable Monday’: Trial starts for male billed with capturing two Tulsa law enforcement officers, killing a person
  • Michael In general: Tulsa has a shock for golfing supporters
  • Guerin Emig: In recognition of R.W. McQuarters, 1 of Tulsa’s all-time athletic gems
  • Look at Now: Gov. Stitt seeks ‘mega legislation’ to land ‘humongous factory’ with ‘billions and billions’ in financial investment
  • Guerin Emig: Now Texas soccer AND softball have everybody in a snit. But is it wasted fury?
  • Baker Mayfield: Heisman Park statue ‘something I seriously did dream about’
  • Plagued by a mysterious foul odor, Glenpool vows to ‘do regardless of what is important to fix the problem’
  • 2021-22 All-Globe boys wrestling: Fulfill the athlete of the calendar year finalists and see the relaxation of the 1st crew, second team and honorable mention alternatives

Two other board members, Estela Hernandez and Carlisha Williams Bradley, had been absent.

Hofmeister, who serves as chair of the board, elected not to solid a vote at all immediately after indicating she considered the board was mistaken about the simple implications of its steps.

Hofmeister had cautioned the board that in result, they would be voting to preserve in spot “old, imprecise, out-of-date” academic requirements for overall health and P.E. fairly than adopting a new, extensive set of academic requirements in maintaining with improvements in condition regulation supposed to enhance the total well being of Oklahoma’s kids.

She also stated teachers would not be equipped to be adequately geared up.

“I’m absolutely sure the Legislature will have some queries, as well,” Hofmeister said, referring to the Legislature’s upcoming ultimate critique procedure for the tutorial benchmarks.

Bobek, who designed the movement that handed, stated he felt the board experienced inadequate time to take into account the proposal, but Hofmeister responded by indicating the vote experienced now been delayed when and that the new educational expectations are demanded to be sent to the Legislature with suitable time remaining for its closing overview.

Bobek reported he considered the board’s action would comply with the alterations in state legislation and that the board would have satisfactory time to revisit the challenge if essential right before the 2023-24 tutorial yr, when the new expectations have to be taught.

At issue are updates to academic criteria required by two new rules from the final legislative session, which were being both of those signed by Gov. Kevin Stitt.

The very first, Residence Monthly bill 1568 or “Maria’s Regulation,” was authored by Sen. John Haste, R-Damaged Arrow, and Rep. Jeff Boatman, R-Tulsa, to enable Oklahoma students much better have an understanding of mental well being concerns and how they can impact their over-all effectively-remaining.

It directed the state instruction board, in session with the Section of Mental Wellness and Material Abuse Providers, to revise the Oklahoma Tutorial Specifications for well being and P.E. so that students could be educated about psychological wellness and be inspired to find treatment method when needed.

It also permits faculty districts to enter into agreements with nonprofits or other local community companions to support in supplying mental health instruction if vital.

The second law at problem is the Health and fitness Instruction Act, authored by Haste and Rep. Rhonda Baker, R-Yukon, demanding well being education on the value of suitable diet and exercise, psychological health and fitness and wellness, material abuse awareness, coping techniques for knowing and controlling trauma, developing and protecting positive interactions, and dependable selection-generating.

Oklahoma is one of only two or a few states with out a mandate for well being training in its general public universities.

Contacted by the Tulsa Globe on Thursday, Haste reported he experienced “no idea” there had been any concerns or worries about the educational requirements updates relevant to his sponsored legislation.

“Whether anybody agrees or disagrees with a selection, the vital thing is there are checks and balances. The Legislature has our work. The Department of Education has its career. Our bill was especially to update the criteria,” Haste stated.

“With nearly anything that comes more than that we’re involved in, we overview it. When it’s our change to search at, we will seem at it and do our acceptable thanks diligence on it.”

At the identical Thursday assembly, the Point out Board of Instruction approved new tutorial standards for math and world languages proposed by expert educators and topic issue professionals, without objection.

Hofmeister didn’t forged votes in those two instances, both.

Questioned immediately after the conference why she hadn’t voted, Hofmeister said the board’s contract attorney, Travis Jett, had made her knowledgeable late Wednesday that the board supposed to go its individual way on academic standards, and she basically did not want to be a occasion to it.

“It is usually the discretion of the chair to participate or not. My predecessor utilized that (discretion) from time to time, and Gov. Stitt at CLO (Commissioners of the Land Office environment) conferences has had his title not identified as (for pick out votes) as a result of prior arrangement,” Hofmeister reported.

“I was instructed there were likely to be some opportunity improvements, and when not seeking to generate disharmony on the board by voting no on what they were attempting to do, I was not willing to undermine all those instructors and industry experts on the benchmarks committees.”

Professor in Applied Health Psychology and Physical Activity job with ANGLIA RUSKIN UNIVERSITY

Professor in Applied Health Psychology and Physical Activity job with ANGLIA RUSKIN UNIVERSITY

Professor in Used Wellbeing Psychology and Physical Exercise
&#13
Contract sort: Permanent
&#13
Hours: Whole time
&#13
******
&#13
About ARU: 

&#13
ARU is a worldwide college transforming life via modern, inclusive and entrepreneurial training and analysis. We are rated in the world’s  best 350 HEIs in the 2021 Moments Greater Education and learning Environment University Rankings and in the prime 10 mainstream universities in the place for the proportion of Uk undergraduates in work 15 months after graduating.  We have campuses in Cambridge, Chelmsford, London and Peterborough with about 2,500 employees and 35,000 pupils from 185 international locations.  We are committed to operating with other people by way of schooling, analysis and information exchange to increase the economic, cultural and social wellbeing of neighborhood, regional and global communities. ARU at this time holds an institutional Bronze Athena Swan award in recognition of its motivation to equality, range and inclusion, and resolve to generate a community where all people can prosper.

About the Faculty of Science and Engineering:
&#13
The School of Science and Engineering combines a potent research culture with excellence in training and finding out. The school is at present going through a time period of sustained advancement with formidable plans. We concentration on employer co-intended curricula supported by superb training and use of technologies. We support earth course interdisciplinary investigate and understanding trade in spots including sustainability (zero carbon), health & wellbeing and foreseeable future towns. We are dedicated to partnership operating with external organisations and communities to greatly enhance the social, cultural and financial areas of the areas with which we collaborate.

This is an interesting time to sign up for the College of Science and Engineering. We’re dedicated to establish a more assorted representative school of excellence in STEM analysis, teaching and scholarship. We are looking for to make a collection of strategic senior tutorial appointments across the Faculty to include things like a total-time Professor in Applied Wellness Psychology and Physical Action to even further bolster our investigate in the College of Psychology and Activity Science.  

Your position will involve both of those training and analysis, and you will support the Faculty management group in enhancing and increasing the University’s intercontinental standing in your tutorial area. You will reveal tutorial management in your subject, and a willingness to guidance other folks to realize research excellence.

With a PhD and preferably a post-graduate training qualification, you will have an proven monitor history of making exploration outputs that are internationally fantastic in terms of originality, significance and rigour, as very well as a observe history in securing research funding. 

You will have substantial knowledge of training and skills as an tutorial researcher and/or information trade. You’ll have great facilitation and interpersonal competencies, and the potential to deal with alter and to feel innovatively and creatively. You will have potent interaction and romance-constructing skills with a collaborative and supportive management fashion, and preferably must be ready to make a considerable contribution to one of our ARU extensive Study, Innovation and Influence Themes: Well being, General performance and Wellbeing Sustainable Futures Risk-free and Inclusive Communities. Candidates should be fully commited to equality, variety and inclusion and to nurturing a society of research integrity and open analysis.

Discover out more about this possibility and functioning with us or get hold of Laurie Butler, PVC & Dean of Faculty at [email protected] isles for an informal dialogue.

Closing day: 25 April 2022. 

We offer an extensive assortment of advantages which include a generous getaway entitlement, occupational pension schemes, training and development possibilities, travel to operate scheme and a competitive relocation package deal.

Stop by our added benefits webpage for comprehensive aspects.

We are fully commited to safeguarding and advertising and marketing welfare of our employees and learners and be expecting all staff to share this determination. 

We benefit diversity and inclusion at ARU and welcome purposes from all sections of the community.

We are committed to remaining inclusive and open up to talk about flexible doing work. 

How to utilize:
&#13
Be sure to go to our College work opportunities web-site to download the Career Description and Individual Specification. To apply include a CV and supporting assertion describing which of the positions you would like to be deemed for, and how your competencies and expertise match the conditions in the individual specification.

Estimating Bone Health Among Hemophilia Carriers and von Willebrand Disease Patients

Estimating Bone Health Among Hemophilia Carriers and von Willebrand Disease Patients

In the US, approximately 1.5 million individuals experience bone fractures related to osteoporosis each year. In addition to this being a major public health concern, it poses a significant financial burden.

Recently, issues with bone health have gained attention around how they relate to bleeding disorders. Individuals with hemophilia tend to have low bone mineral density that’s believed to be a consequence of prolonged immobility, recurrent hemarthrosis, decreased weight bearing, lower physical activity level and obesity.

While there’s some literature relating to bone health and hemophilia, there’s a lack of understanding around impaired bone health in individuals with von Willebrand disease (vWD) and those who are hemophilia carriers (HC). This motivated investigators to estimate the prevalence of osteoporosis, osteoarthritis and bone fractures in these individuals.

Assessing the Data

Divyaswathi Citla-Sridha, MD, University of Arkansas for Medical Sciences, and colleagues conducted a retrospective cohort study with a population level, commercial database that held electronic health record data from 26 major integrated healthcare systems representing more than 360 hospitals.

A total of 940 women who were diagnosed as hemophilia carriers and 19,580 patients with vWD were identified within the database. The primary outcome for the study was to identify the prevalence of osteoporosis, osteoarthritis, and fractures among individuals with von Willebrand disease and hemophilia carriers to compare them to controls from the database.

Investigators found 10 common risk factors related to poor bone health in the general population and patients with hemophilia–Vitamin D deficiency, obesity (BMI> / = 30), hypothyroidism, cigarette smoking, diabetes mellitus (DM), hypocalcaemia, malignancy, renal failure(RF), use of corticosteroids and use of nonsteroidal anti-inflammatory drugs (NSAIDs).

The Call for More Research

The results of the study indicate a significantly higher rate of osteoporosis, osteoarthritis and fractures among the target population. Investigators believe these data highlight the importance of screening patients for risk factors for poor bone health and then provide education to prevent these complications.

When looking at individuals who are hemophilia carriers, the prevalence of vitamin D deficiency, obesity, hypothyroidism, smoking, diabetes mellitus, hypocalcaemia, corticosteroid use, malignancy, renal failure and nonsteroidal anti-inflammatory drugs (NSAID) use were significantly higher among the cases. For individuals with vWD, the prevalence of risk factors was significantly higher in cases when compared to controls.

“This study highlights the need for Haemophilia Treatment Centres to focus on the bone health in these patients and pay closer attention to other risk factors during their routine comprehensive visits,” investigators wrote. “Further prospective, multi centre studies are necessary to validate these findings.”

The study “Bone health in haemophilia carriers and persons with von Willebrand disease: A large database analysis” was published in Haemophilia.

The association of resilience with depression, anxiety, stress and physical activity during the COVID-19 pandemic | BMC Public Health

The association of resilience with depression, anxiety, stress and physical activity during the COVID-19 pandemic | BMC Public Health

Research design and contributors

On the net surveys have been executed to collect both of those longitudinal and cross-sectional details at a few time details. The 1st study was performed early on through the COVID-19 pandemic from 9th to 19th April 2020 the second from 30th July to 16th August 2020 and the third concerning 1st and 25th December 2020. Throughout the initially time position, Australian point out governments had adopted remarkable actions to reduce the rates of infection which includes social distancing, lockdowns, and travel constraints. During the second time stage, all Australian states except Victoria experienced peaceful constraints because of to minimal case numbers of the an infection. At the time of the 3rd study, most COVID-19 limits were being lifted in all States and Territories as the premiums of infection were being mostly below command [21, 22].

At each and every study, participants (together with new contributors recruited for survey 2) were requested if they would like to take part in foreseeable future data selection chances. Individuals completing at minimum two surveys turned section of a longitudinal cohort while all those who elected to entire only one survey formed the cross-sectional cohort. The surveys ended up anonymous and hosted on the Qualtrics survey system. Australian older people aged 18 years and above have been invited to complete the surveys using paid Facebook advertising, social media (e.g., Twitter) and institutional sources such as electronic mail lists. On line educated consent was provided by all members just after they experienced read the data sheet that outlined the mother nature of their participation, the challenges and gains of participation, and how the knowledge would be utilised. Ethical approval was granted by Central Queensland University’s Human Investigate Ethics Committee (Acceptance range 22332).

Actions

Demographic qualities provided age (several years), gender, several years of education, weekly household profits (< 1000 AUD, 1000 - < 2000 AUD, or ≥ 2000 AUD), and marital status (in a relationship or not). Chronic disease status (Yes/No) was identified using the question “Have you ever been told by a doctor that you have any chronic health problems?”. These included one or a combination of heart disease, high blood pressure, stroke, cancer, depressive disorder, anxiety disorder, psychotic illness, bipolar disorder, diabetes, arthritis, chronic back/neck pain, asthma, COPD, and chronic kidney/renal diseases [23].

Resilience was assessed using the six-item Brief Resilience Scale (BRS). The BRS measures an individuals’ ability to bounce back from an adverse event and focuses on the ability to recover [24]. The BRS is a reliable measure of resilience, with Cronbach’s alpha ranging from 0.80 to 0.91 and a 1 month test-retest reliability (ICC) of 0.69 [24]. The BRS is comprised of six items with three positively worded items (1, 3, and 5) and negatively worded items (2, 4, and 6). For example, a positive item states “I tend to bounce back quickly after hard times” while a negative item states “I have a hard time making it through stressful events”. Responses were provided on a 5-point Likert scale with anchors at 1 (strongly disagree) and 5 (strongly agree). The scale was scored by reverse coding the negative items and then averaging the total score for the six items. Final scores range from 1.0–5.0 with a score of 3.0–4.3 considered a normal level of resilience [25].

Psychological distress was measured using the 21-item Depression, Anxiety and Stress Scale (DASS-21) [26]. The DASS-21 has shown acceptable construct validity and high reliability (Cronbach’s alphas were 0.88, 0.82 and 0.90 for depression, anxiety and stress respectively) in a non-clinical adult population [27]. Each domain has seven items scored on a 4-point Likert scale between 0 (did not apply to me at all) and 3 (applied to me very much, or most of the time). Example items were “I was aware of dryness of my mouth” or “I found myself getting agitated”. A score was calculated for each domain by adding the scores for the relevant items and multiplying by two. Standard cut-points were used to determine whether participants had symptom severity above normal for depression (≥10 points), anxiety (≥8 points), and stress (≥15 points) [26].

Physical activity was assessed using the Active Australia Survey (AAS), which comprises eight items identifying the duration and frequency of walking, and moderate and vigorous (MVPA) physical activities, over the past 7 days. For example, questions about walking are “In the last week, how many times have you walked continuously, for at least 10 minutes, for recreation, exercise or to get to or from places?” and “What do you estimate was the total time that you spent walking in this way in the last week?”. The AAS guidelines were used to calculate total physical activity by summing minutes of walking, minutes of moderate activity, and minutes of vigorous activity (multiplied by 2). Participants were then categorised as meeting the physical activity guidelines (≥150 min of moderate – vigorous (MVPA) per week) or not (< 150 min MVPA per week) [28]. The AAS criterion validity has been found to be acceptable for use in self-administered format, with correlations between self-reported physical activity and weekly pedometer steps, and accelerometry being 0.43 and 0.52 respectively [29].

Analyses

Statistical analysis was undertaken using SAS software v9.4. Two datasets, longitudinal and repeated cross-sectional, were analysed separately. Participants completing at least two surveys were included in the longitudinal dataset. The repeated cross-sectional dataset excluded those in the longitudinal dataset and therefore included only those completing one survey. Descriptive statistics (mean, standard deviation, and percentages) were calculated and are presented for each time point. Changes in resilience scores were examined using general linear mixed models for the longitudinal data, and general linear models for cross-sectional data. In addition to bivariate analyses, estimated changes in resilience scores were also adjusted for age, gender, years of education, weekly household income, relationship status, and chronic disease status. Multiple comparison correction was applied using the simulation option in PROC GLIMMIX.

Associations between resilience scores with physical activity and depression, anxiety, and stress were also examined using general linear mixed models for the longitudinal data and general linear models for the cross-sectional data. Three models were run for both datasets. Model 1 included resilience scores, time and either physical activity, depression, anxiety, or stress. Model 2 included the additional covariates: age, gender, years of education, weekly household income, relationship status, and chronic disease status. To examine whether the observed associations were independent, physical activity, depression, anxiety, and stress were also included in Model 3 together with time and all other covariates.

Due to missing values for the household income variable being higher than 10{e4f787673fbda589a16c4acddca5ba6fa1cbf0bc0eb53f36e5f8309f6ee846cf}, analyses were conducted with and without household income as a covariate. As the results between these two analyses did not change the findings, only models including household income are presented. Crude and adjusted differences in resilience scores with 95{e4f787673fbda589a16c4acddca5ba6fa1cbf0bc0eb53f36e5f8309f6ee846cf} confidence intervals are reported. All p-values were two sided and considered significant if < 0.05.

Culturally adapting internet- and mobile-based health promotion interventions might not be worth the effort: a systematic review and meta-analysis

Culturally adapting internet- and mobile-based health promotion interventions might not be worth the effort: a systematic review and meta-analysis
  • Liu, J. J. et al. Adapting health promotion interventions to meet the needs of ethnic minority groups: Mixed-methods evidence synthesis. Health Technology Assessment https://doi.org/10.3310/hta16440 (2012).

  • Cerf, M. E. Healthy lifestyles and noncommunicable diseases: nutrition, the life‐course, and health promotion. Lifestyle Med. 2, 1–12 (2021).


    Google Scholar
     

  • Preston, S. H., Stokes, A., Mehta, N. K. & Cao, B. Projecting the effect of changes in smoking and obesity on future life expectancy in the United States. Demography 51, 27–49 (2014).

    PubMed 

    Google Scholar
     

  • World Health Organization. Sexual Health and its Linkages to Reproductive Health: an Operational Approach 1–12 (World Health Organization, 2017).

  • Di Cesare, M. et al. Inequalities in non-communicable diseases and effective responses. Lancet 381, 585–597 (2013).

    PubMed 

    Google Scholar
     

  • World Health Organization. Global Status Report On Noncommunicable Diseases 2014 (World Health Organization, 2014).

  • World Health Organization. 2008-2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases (World Health Organization, 2013).

  • Friel, S. & Marmot, M. G. Action on the Social determinants of health and health inequities goes global. Annu. Rev. Public Health. https://doi.org/10.1146/annurev-publhealth-031210-101220 (2011).

  • Muñoz, R. F. Using evidence-based Internet interventions to reduce health disparities worldwide. J. Med. Internet Res. 12, 1–10 (2010).


    Google Scholar
     

  • Head, K. J., Noar, S. M., Iannarino, N. T. & Grant Harrington, N. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc. Sci. Med. 97, 41–48 (2013).

    PubMed 

    Google Scholar
     

  • Fiedler, J., Eckert, T., Wunsch, K. & Woll, A. Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects—an umbrella review. BMC Public Health 20, 1–21 (2020).


    Google Scholar
     

  • Müller, A. M. et al. Physical activity, sedentary behavior, and diet-related ehealth and mhealth research: Bibliometric analysis. J. Med. Internet Res. 20, e122 (2018).

  • Do, H. P. et al. Which eHealth interventions are most effective for smoking cessation? A systematic review. Patient Prefer. Adherence 12, 2065–2084 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Webb, T. L., Joseph, J., Yardley, L. & Michie, S. Using the Internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J. Med. Internet Res. 12, 1–18 (2010).


    Google Scholar
     

  • Muñoz, R. F. et al. Massive open online interventions: a novel model for delivering behavioral- health services worldwide. Clin. Psychol. Sci. 4, 194–205 (2016).


    Google Scholar
     

  • Vandelanotte, C. et al. Past, present, and future of ehealth and mhealth research to improve physical activity and dietary behaviors. J. Nutr. Educ. Behav. 48, 219–228.e1 (2016).

    PubMed 

    Google Scholar
     

  • Jiang, X., Ming, W. K. & You, J. H. S. The cost-effectiveness of digital health interventions on the management of cardiovascular diseases: systematic review. J. Med. Internet Res. 21, 1–11 (2019).


    Google Scholar
     

  • Elbert, N. J. et al. Effectiveness and cost-effectiveness of ehealth interventions in somatic diseases: a systematic review of systematic reviews and meta-analyses. J. Med. Internet Res. 16, 1–23 (2014).


    Google Scholar
     

  • Henrich, J., Heine, S. J. & Norenzayan, A. Beyond WEIRD: towards a broad-based behavioral science. Behav. Brain Sci. 33, 111–135 (2010).


    Google Scholar
     

  • Lin, J., Faust, B., Ebert, D. D., Krämer, L. & Baumeister, H. A web-based acceptance-facilitating intervention for identifying patients’ acceptance, uptake, and adherence of internet- and mobile-based pain interventions: randomized controlled trial. J. Med. Internet Res. 20, e244 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Baumeister, H. et al. Impact of an acceptance facilitating intervention on diabetes patients’ acceptance of Internet-based interventions for depression: a randomized controlled trial. Diabetes Res. Clin. Pract. 105, 30–39 (2014).

    CAS 
    PubMed 

    Google Scholar
     

  • Armaou, M., Araviaki, E. & Musikanski, L. eHealth and mHealth interventions for ethnic minority and historically underserved populations in developed countries: an umbrella review. Int. J. Community Well-Being 3, 193–221 (2020).


    Google Scholar
     

  • Clauss-Ehlers, C. S., Chiriboga, D. A., Hunter, S. J., Roysircar, G. & Tummala-Narra, P. APA multicultural guidelines executive summary: ecological approach to context, identity, and intersectionality. Am. Psychol. 74, 232–244 (2019).

    PubMed 

    Google Scholar
     

  • Lewis, J. A., Williams, M. G., Peppers, E. J. & Gadson, C. A. Applying intersectionality to explore the relations between gendered racism and health among black women. J. Couns. Psychol. 64, 475–486 (2017).

    PubMed 

    Google Scholar
     

  • World Health Organization. Promoting health in the SDGs. Report on 9th Global Conference on Health Promotion 1–37 (World Health Organization, 2016).

  • Barrera, M., Castro, F. G. & Steiker, L. K. H. A critical analysis of approaches to the development of preventive interventions for subcultural groups. Am. J. Community Psychol. 48, 439–454 (2011).

    PubMed 

    Google Scholar
     

  • Bernal, G., Jiménez-Chafey, M. I., & Domenech Rodríguez, M. M. & Domenech Rodríguez Cultural adaptation of treatments: a resource for considering culture in evidence-based practice. Prof. Psychol. Res. Pract. 40, 361–368 (2009).


    Google Scholar
     

  • Resnicow, K., Soler, R., Braithwaite, R. L., Ahluwalia, J. S. & Butler, J. Cultural sensitivity in substance use prevention. J. Community Psychol. 28, 271–290 (2000).

  • Cardemil, E. Cultural adaptations to empirically supported treatments: a research agenda. Sci. Rev. Ment. Heal. Pract. 7, 8–21 (2010).

  • Liu, J. J. et al. Smoking cessation interventions for ethnic minority groups—a systematic review of adapted interventions. Prev. Med. (Balt.). 57, 765–775 (2013).


    Google Scholar
     

  • Nierkens, V. et al. Effectiveness of cultural adaptations of interventions aimed at smoking cessation, diet, and/or physical activity in ethnic minorities. a systematic review. PLoS ONE https://doi.org/10.1371/journal.pone.0073373 (2013).

  • Lambert, S. et al. The effect of culturally-adapted health education interventions among culturally and linguistically diverse (CALD) patients with a chronic illness: a meta-analysis and descriptive systematic review. Patient Educ. Couns. https://doi.org/10.1016/j.pec.2021.01.023 (2021).

  • Staffileno, B. A. B. A., Tangney, C. C. C. C. & Fogg, L. Favorable outcomes using an eHealth approach to promote physical activity and nutrition among young African American women. J. Cardiovasc. Nurs. 33, 62–71 (2018).

    PubMed 

    Google Scholar
     

  • Anderson-Lewis, C., Darville, G., Mercado, R. E., Howell, S. & Di Maggio, S. mHealth technology use and implications in historically underserved and minority populations in the united states: Systematic literature review. JMIR mHealth uHealth 6, e128 (2018).

  • Montague, E. & Perchonok, J. Health and wellness technology use by historically underserved health consumers: Systematic review. J. Med. Internet Res. 14, e78 (2012).

  • Bennett, G. G. et al. Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: a systematic review. Obes. Rev. 15, 146–158 (2014).

    PubMed 

    Google Scholar
     

  • Augustson, E. et al. Text to quit China: an mHealth smoking cessation. Trial Am. J. Health Promot. 31, 217–225 (2017).

    PubMed 

    Google Scholar
     

  • Bender, M. S., Cooper, B. A., Park, L. G., Padash, S. & Arai, S. A feasible and efficacious mobile-phone based lifestyle intervention for Filipino Americans with type 2 diabetes: randomized controlled trial. JMIR Diabetes 2, e30 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bowen, D. J., Henderson, P. N., Harvill, J. & Buchwald, D. Short-term effects of a smoking prevention website in American Indian youth. J. Med. Internet Res. 14, e81 (2012).

  • Brito Beck Da Silva, K. et al. Evaluation of the computer-based intervention program stayingfit Brazil to promote healthy eating habits: The results from a school cluster-randomized controlled trial. Int. J. Environ. Res. Public Health 16, 1–18 (2019).


    Google Scholar
     

  • Cruvinel, E., Richter, K. P., Colugnati, F. & Ronzani, T. M. An experimental feasibility study of a hybrid telephone counseling/text messaging intervention for post-discharge cessation support among hospitalized smokers in Brazil. Nicotine Tob. Res. 21, 1700–1705 (2019).

    PubMed 

    Google Scholar
     

  • Duan, Y. P., Wienert, J., Hu, C., Si, G. Y. & Lippke, S. Web-based intervention for physical activity and fruit and vegetable intake among Chinese university students: a randomized controlled trial. J. Med. Internet Res. 19, 1–15 (2017).


    Google Scholar
     

  • Fortmann, A. L. et al. Dulce digital: An mHealth SMS based intervention improves glycemic control in hispanics with type 2 diabetes. Diabetes Care 40, 1349–1355 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kurth, A. E. et al. Linguistic and cultural adaptation of a computer-based counseling program (CARE+ Spanish) to support HIV treatment adherence and risk reduction for people living with HIV/AIDS: a randomized controlled trial. J. Med. Internet Res. 18, e195 (2016).

  • Larsen, B. A. et al. Randomized trial of a physical activity intervention for Latino Men: Activo. Am. J. Prev. Med. 59, 219–227 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lau, P. W. C., Pitkethly, A. J., Leung, B. W. C., Lau, E. Y. & Wang, J. J. The intervention effect of SMS delivery on chinese adolescent’s physical activity. Int. J. Environ. Res. Public Health 16, 1–12 (2019).


    Google Scholar
     

  • Marcus, B. H. et al. Pasos Hacia La Salud: a randomized controlled trial of an internet-delivered physical activity intervention for Latinas. Int. J. Behav. Nutr. Phys. Act. 13, 62 (2016).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Montag, A. C. et al. Preventing alcohol-exposed pregnancy among an american indian/alaska native population: effect of a screening, brief intervention, and referral to treatment intervention. Alcohol. Clin. Exp. Res. 39, 126–135 (2015).

    PubMed 

    Google Scholar
     

  • Peiris, D. et al. A smartphone app to assist smoking cessation among aboriginal australians: findings from a pilot randomized controlled trial. JMIR mHealth uHealth 7, e12745 (2019).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rothstein, H. R., Sutton, A. J. & Borenstein, M. Publication Bias in Meta-Analyses: Prevention, Assessment and Adjustments (John Wiley & Sons, 2005).

  • Rathod, S. et al. The current status of culturally adapted mental health interventions: a practice-focused review of meta-analyses. Neuropsychiatr. Dis. Treat. 14, 165–178 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Harper Shehadeh, M., Maercker, A., Heim, E., Chowdhary, N. & Albanese, E. Cultural adaptation of minimally guided interventions for common mental disorders: a systematic review and meta-analysis. JMIR Ment. Heal 3, e44 (2016).


    Google Scholar
     

  • Lustria, M. L. A. et al. A meta-analysis of web-delivered tailored health behavior change interventions. J. Health Commun. https://doi.org/10.1080/10810730.2013.768727 (2013).

  • Van Loon, A., Van Schaik, A., Dekker, J. & Beekman, A. Bridging the gap for ethnic minority adult outpatients with depression and anxiety disorders by culturally adapted treatments. J. Affect. Disord. 147, 9–16 (2013).

    PubMed 

    Google Scholar
     

  • Whittaker, R. et al. Mobile phone text messaging and app‐based interventions for smoking cessation. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.CD006611.pub5 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Myung, S.-K., McDonnell, D. D., Kazinets, G., Seo, H. G. & Moskowitz, J. M. Effects of web- and computer-based smoking cessation programs. Arch. Intern. Med. https://doi.org/10.1001/archinternmed.2009.109 (2009).

  • Joiner, K. L., Nam, S. & Whittemore, R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: a systematic review and meta-analysis. Prev. Med. (Balt.). 100, 194–207 (2017).


    Google Scholar
     

  • Rodriguez Rocha, N. P. & Kim, H. eHealth interventions for fruit and vegetable intake: a meta-analysis of effectiveness. Heal. Educ. Behav. 46, 947–959 (2019).


    Google Scholar
     

  • Kelly, J. T., Reidlinger, D. P., Hoffmann, T. C. & Campbell, K. L. Telehealth methods to deliver dietary interventions in adults with chronic disease: a systematic review and meta-analysis1,2. Am. J. Clin. Nutr. 104, 1693–1702 (2016).

    CAS 
    PubMed 

    Google Scholar
     

  • Hutchesson, M. J. et al. eHealth interventions for the prevention and treatment of overweight and obesity in adults: A systematic review with meta-analysis. Obes. Rev. 16, 376–392 (2015).

    CAS 
    PubMed 

    Google Scholar
     

  • Bailey, J. V. et al. Interactive computer-based interventions for sexual health promotion. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.cd006483.pub2 (2010).

  • Noar, S. M., Black, H. G. & Pierce, L. B. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. Aids 23, 107–115 (2009).

    PubMed 

    Google Scholar
     

  • Cunningham, J. A., Kypri, K. & McCambridge, J. Exploratory randomized controlled trial evaluating the impact of a waiting list control design. BMC Med. Res. Methodol. 13, 150 (2013).

  • Graham, A. et al. Systematic review and meta-analysis of Internet interventions for smoking cessation among adults. Subst. Abuse Rehabil. 55. https://doi.org/10.2147/sar.s101660 (2016).

  • Bernal, G. & Sáez-Santiago, E. Culturally centered psychosocial interventions. J. Community Psychol. 34, 121–132 (2006).


    Google Scholar
     

  • Salamanca-Sanabria, A., Richards, D. & Timulak, L. Adapting an internet-delivered intervention for depression for a Colombian college student population: an illustration of an integrative empirical approach. Internet Inter. 15, 76–86 (2019).


    Google Scholar
     

  • Spanhel, K. et al. Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review. npj Digit. Med. https://doi.org/10.1038/s41746-021-00498-1 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Domhardt, M. et al. Therapeutic processes in digital interventions for anxiety: a systematic review and meta-analytic structural equation modeling of randomized controlled trials. Clin. Psychol. Rev. 90, 102084 (2021).

    PubMed 

    Google Scholar
     

  • Domhardt, M., Cuijpers, P., Ebert, D. D. & Baumeister, H. More light? opportunities and pitfalls in digitalized psychotherapy process research. Front. Psychol. 12, 1–5 (2021).


    Google Scholar
     

  • Kazdin, A. E. Mediators and mechanisms of change in psychotherapy research. Annu. Rev. Clin. Psychol. 3, 1–27 (2007).

    PubMed 

    Google Scholar
     

  • Domhardt, M. et al. Mediators and mechanisms of change in internet- and mobile-based interventions for depression: a systematic review. Clin. Psychol. Rev. 83, 101953 (2021).

    PubMed 

    Google Scholar
     

  • Rad, M. S., Martingano, A. J. & Ginges, J. Toward a psychology of Homo sapiens: Making psychological science more representative of the human population. Proc. Natl Acad. Sci. USA 115, 11401–11405 (2018).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gone, J. P. A community-based treatment for Native American historical trauma: prospects for evidence-based practice. J. Consult. Clin. Psychol. 77, 751–762 (2009).

    PubMed 

    Google Scholar
     

  • Nagayama Hall, G. C., Yip, T. & Zárate, M. A. On becoming multicultural in a monocultural research world: a conceptual approach to studying ethnocultural diversity. Am. Psychol. 71, 40–51 (2016).


    Google Scholar
     

  • Bernal, G. & Adames, C. Cultural adaptations: conceptual, ethical, contextual, and methodological issues for working with ethnocultural and majority-world populations. Prev. Sci. 18, 681–688 (2017).

    PubMed 

    Google Scholar
     

  • Castro, F. G., Barrera, M. & Holleran Steiker, L. K. Issues and challenges in the design of culturally adapted evidence-based interventions. Ssrn https://doi.org/10.1146/annurev-clinpsy-033109-132032 (2010).

  • Warne, D. & Wescott, S. Social determinants of American Indian Nutritional Health. Curr. Dev. Nutr. https://doi.org/10.1093/cdn/nzz054 (2019).

  • Abaza, H. & Marschollek, M. mHealth application areas and technology combinations. Methods Inf. Med. 56, e105–e122 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hall, C. S., Fottrell, E., Wilkinson, S. & Byass, P. Assessing the impact of mHealth interventions in low- and middle-income countries—what has been shown to work? Glob. Health Action 7, 25606 (2014).

  • Kruse, C. et al. Barriers to the use of mobile health in improving health outcomes in developing countries: Systematic review. J. Med. Internet Res. 21, 1–13 (2019).


    Google Scholar
     

  • Weisel, K. K. et al. Standalone smartphone apps for mental health—a systematic review and meta-analysis. npj Digit. Med. 2, 1–10 (2019).


    Google Scholar
     

  • Bendig, E. et al. Internet-based interventions in chronic somatic disease. Dtsch. Arztebl. Int. 115, 659–665 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ebert, D. D. et al. Internet- and mobile-based psychological interventions: applications, efficacy, and potential for improving mental health. Eur. Psychol. 23, 167–187 (2018).


    Google Scholar
     

  • Tsetsi, E. & Rains, S. A. Smartphone Internet access and use: extending the digital divide and usage gap. Mob. Media Commun. 5, 239–255 (2017).


    Google Scholar
     

  • Baumeister, H., Reichler, L., Munzinger, M. & Lin, J. The impact of guidance on Internet-based mental health interventions – A systematic review. Internet Inter. 1, 205–215 (2014).


    Google Scholar
     

  • Arsenijevic, J., Tummers, L. & Bosma, N. Adherence to electronic health tools among vulnerable groups: Systematic literature review and meta-analysis. J. Med. Internet Res. 22, e11613 (2020).

  • Aranda-Jan, C. B., Mohutsiwa-Dibe, N. & Loukanova, S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health 14, 1–15 (2014).


    Google Scholar
     

  • James, D. C., Harville, C., Sears, C., Efunbumi, O. & Bondoc, I. Participation of African Americans in e-Health and m-Health studies: a systematic review. Telemed. e-Health 23, 351–364 (2017).


    Google Scholar
     

  • Hwang, D. S. A., Lee, A., Song, J. M. & Han, H. R. Recruitment and retention strategies among racial and ethnic minorities in web-based intervention trials: retrospective qualitative analysis. J. Med. Internet Res. 23, e23959 (2021).

  • Callier, S. & Fullerton, S. M. Diversity and inclusion in unregulated mHealth research: addressing the risks. J. Law Med. Ethics 48, 115–121 (2020).

    PubMed 

    Google Scholar
     

  • Druce, K. L., Dixon, W. G. & McBeth, J. Maximizing engagement in mobile health studies: lessons learned and future directions. Rheum. Dis. Clin. North Am. 45, 159–172 (2019).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Moher, D., Liberati, A., Tetzlaff, J. & Altman, D. G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ 339, 332–336 (2009).


    Google Scholar
     

  • Balci, S., Spanhel, K., Sander, L. & Baumeister, H. Protocol for a systematic review and meta-analysis of culturally adapted internet- And mobile-based health promotion interventions. BMJ Open https://doi.org/10.1136/bmjopen-2020-037698 (2020).

  • Spanhel, K., Balci, S., Baumeister, H., Bengel, J. & Sander, L. B. Cultural adaptation of Internet- and mobile-based interventions for mental disorders: a systematic review protocol. Syst. Rev. 9, 207 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Babineau, J. Product Review: Covidence (Systematic Review Software). J. Can. Heal. Libr. Assoc./J. l’Association bibliothèques la St.é du Can. 35, 68 (2014).


    Google Scholar
     

  • Sterne, J. A. C. et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ https://doi.org/10.1136/bmj.l4898 (2019).

  • Higgins JPT et al. (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. (The Cochrane Collaboration, 2011). Available at: www.handbook.cochrane.org.

  • Fritz, C. O., Morris, P. E. & Richler, J. J. Effect size estimates: current use, calculations, and interpretation. J. Exp. Psychol. Gen. 141, 2–18 (2012).

    PubMed 

    Google Scholar
     

  • Tufanaru, C., Munn, Z., Stephenson, M. & Aromataris, E. Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness. Int. J. Evid. Based Health. 13, 196–207 (2015).


    Google Scholar
     

  • Balduzzi, S., Rücker, G. & Schwarzer, G. How to perform a meta-analysis with R: a practical tutorial. Evid. Based Ment. Health 22, 153–160 (2019).

    PubMed 

    Google Scholar
     

  • Harrer, M., Cuijpers, P. & Ebert, D. Doing meta-analysis in R. https://doi.org/10.5281/ZENODO.2551803 (2019).

  • The Nordic Cochrane Centre. Review Manager (RevMan) (The Cochrane Collaboration, 2014).

  • Viechtbauer, W. Conducting meta-analyses in R with the metafor. J. Stat. Softw. 36, 1–48 (2010).


    Google Scholar
     

  • Cohen, J. Statistical Power Analysis for the Behavioural Science 2nd edn. (Erlbaum Associate, 1988).

  • Higgins, J. P. T. & Thompson, S. G. Quantifying heterogeneity in a meta-analysis. Stat. Med. https://doi.org/10.1002/sim.1186 (2002).

  • Card, N. A. Applied Meta-Analysis for Social Science Research. (Guilford, 2011).

  • Bender, M. S. & Clark, M. J. Cultural adaptation for ethnic diversity: a review of obesity interventions for preschool children. Calif. J. Health Promot 9, 40 (2011).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Barrera, M., Castro, F. G., Strycker, L. & Toobert, D. Cultural adaptations of behavioral health interventions: a progress report. J. Consult. Clin. Psychol. 81, 196–205 (2013).

    PubMed 

    Google Scholar
     

  • Castro, Y. et al. Adaptation of a counseling intervention to address multiple cancer risk factors among overweight/obese latino smokers. Heal. Educ. Behav. 42, 65–72 (2015).


    Google Scholar
     

  • Philis-Tsimikas, A. et al. Improvement in diabetes care of underinsured patients enrolled in Project Dulce: A community-based, culturally appropriate, nurse case management and peer education diabetes care model. Diabetes Care 27, 110–115 (2004).

    PubMed 

    Google Scholar
     

  • The conceptual framework for a combined food literacy and physical activity intervention to optimize metabolic health among women of reproductive age in urban Uganda | BMC Public Health

    The association of resilience with depression, anxiety, stress and physical activity during the COVID-19 pandemic | BMC Public Health

    Step I: Needs assessment

    Findings from our systematic review [16] were used to design a theoretical framework for the qualitative study [17]. Notable determinants identified in the systematic review were financial and time limitations, health/beauty paradox (= overweight/obesity as a sign of beauty and wealth), and lack of knowledge, self-efficacy, and skills. Qualitative study findings re-affirmed the systematic review findings concerning health/beauty paradox, knowledge, self-efficacy, and skills gaps. In addition, the qualitative study showed socio-cultural misconceptions around lifestyle PA, fruits, vegetables, and habitual orientation towards carbohydrate foods. We also found that there is a high trust in nutrition information shared on social and mass media, yet skills to evaluate this nutrition information are limited. Figure 1 below shows the logical model of needs assessment, summarises the determinants of dietary and PA in urban Uganda [16, 17].

    Fig. 1
    figure 1

    Logical model of needs assessment, summarizing the personal and environmental determinants of dietary and PA behavior in urban Uganda. Adapted from Yiga et al., [16] and Yiga et al., [17]

    Step II: Formulation of behavioral intervention, performance, and change objectives

    We hypothesised that changing the overall existing behaviours towards WHO healthy lifestyle guidelines in one intervention may meet strong resistance and thus may not be effective. For example, the planning group hypothesised that due to the existing health/beauty paradox and habitual orientation towards carbohydrate rich foods, interventions focusing directly on weight loss and reduction of portion sizes of foods rich in carbohydrates may meet strong resistance. Therefore, we decided to go for more feasible gradual changes able to enact clinically relevant metabolic improvements. We hypothesised that increased consumption of vegetables and fruits will indirectly translate into reduction of portion sizes of carbohydrate rich foods. In line with WHO health recommendations, the intervention aims to stimulate WRA to consume at least 400 g fruits and vegetables [13]. Moderate intensity PA that can be incorporated in daily life activities may be the achievable type of PA among WRA compared to structural high intensity PA [26]. Non-factual nutrition information influences dietary and PA behaviors in urban Uganda [17]. Thus, we decided to supplement the intervention with a component on information evaluation; to enact ability to distinguish evidence-based information from nonfactual information.

    Accordingly, three behavioural intervention objectives were formulated.

    1. 1.

      Women evaluate the accuracy of food, nutrition, and PA information.

    2. 2.

      Women engage in moderate intensity PA for at least 150 min a week.

    3. 3.

      Women consume at least one portion of vegetables and one portion of fruit every day.

    Table 1 shows the behavioral intervention objectives, subdivided into POs providing the answer to the question; “what do the participants of the intervention need to do to achieve the behavioural objectives”. The model of food literacy [27] guided the formulation of POs. Food literacy is the interrelated combination of knowledge, skills and self-efficacy to (i) plan, (ii) select, (iii) prepare, (iv) eat food with the ultimate goal of developing a lifelong healthy, sustainable and gastronomic relationship with food within the prevailing environment [27, 28]. The POs were based on the above mentioned four components of food literacy (plan, select, prepare, and eat). For PA, a similar model was adopted, where “eat” was replaced with “do”, that is; plan, select, prepare, and do. The model of food literacy was chosen as it is a holistic behavior change model focusing on a “how to do approach” to initiate and sustain healthy eating habits [27, 28]. Evidence shows a positive association between food literacy and healthy dietary behaviors, particularly increased intake of vegetables and fruits [29, 30]. Table 2 shows the determinants considered to have a strong influence on accomplishing the created POs. Matrices of change objectives are presented in Additional file 3.

    Table 1 Behavioural intervention objectives subdivided into performance objectives
    Table 2 Determinants of performance objectives for behavior intervention objectives

    Step III: Selection of theory-based methods and practical strategies

    We aimed to create an intervention capable of initiating and sustaining behaviour change. Eleven BCTs scientifically shown to enact changes in knowledge, skills, self-efficacy, subjective norms, and social support were selected, Additional file 4. The selected BCTs are supported by the self-regulation theory and self-determination theory which specifies the need for autonomy, competence, and relatedness to attain a positive behaviour change [33, 34]. Accordingly, our intervention aims to create behavioural change through enacting autonomy, competence, and relatedness. Providing information coupled with motivation interviewing creates a positive intention [35]. Implementation intentions can be achieved through goal setting [24, 34, 35]. Goal setting necessitates competence, which we hypothesised to be attained through a combination of (i) action planning; (ii) guided practice; ii) self-monitoring; iv) feedback on performance and v) planning of coping plans [24, 26, 34,35,36]. To sustain the behavioural goals requires relatedness, which can be achieved using a combination of social support, role modelling, feedback, planning coping responses and motivation interviewing [20, 24, 34].

    The selected BCTs were then operationalised into practical strategies. BCTs; motivational interviewing, role modelling, feedback, guided practice, social support through exchanging ideas and planning coping responses were translated into interactive group-based sessions. Brainstorming workshops with planning group II and FGDs with target group revealed that group sessions may be the best strategy to deliver the intervention in this setting.

    “Through education sessions, like you come in this group and give us a health talk, like the way you have come, you teach us and then us we can go and teach our other friends out there. Like for us every Tuesday we be meeting here, very many of us, so if you say you will give us one Tuesday in a week or month, or the last Tuesday of a month and you come and teach us”. “It would be very nice, because literally I share the information with others, so it will move, it moves much faster, because these groups are not only here, but also have these groups in other dioceses, so we can go visit them, and the teach them, but in health centers you only visit when you’re sick”. “Yes it helps, what I know is good, I wish it for my friends and we act as a support for each, and we as well spread it to other groups, example of myself, I used to never eat pumpkin, but I got it from these ladies, that this pumpkin is good and with time I gradually started to eat it until it become part of my diet”, participants in FGD 4 and 6.

    Additionally, a recent systematic review shows that diet and PA interventions delivered through group sessions are effective in promoting clinically relevant weight loss [34]. These groups provide opportunities for social support, experience sharing, and may create a motivating atmosphere [22, 34]. Our needs assessment as well revealed that the community and church small groups are an opportunity to share dietary and PA counselling [16, 17]. Our environmental asset assessment revealed existence of women groups within religious structures. Existing groups boosts social cohesion, a facilitator for behavioural change [22].

    The reading culture of Ugandans is low.

    “We need more of practical, and also the pamphlet, some of us don’t really understand so much, but if it brings out the picture very well, even I can pick interest in it”. “Pamphlets, some people are lazy to read”, participants in FGD 5.

    So, the BCT of “providing information through imagery” was translated into infographics with less text and more locally recognisable visuals. Evidence as well shows that visuals increase attention, interest, and credibility of the messages [20].

    During FGDs with the target group, participants emphasised the need for practical vegetable preparation skills.

    “like we are trying to reduce cooking oil and other stuff from our daily life, so maybe we meet in a group, there is a demonstration whereby some food stuffs are prepared in the best possible way which is to the taste, and people learn how to prepare them, because most of us, do not know how to cook, that is the truth, but somebody may not even fry food, but it tastes so good, if you know how to mix the ingredients and so on. Yes, include cooking demonstrations”, participants in FGD 2.

    Hence, BCT of “guided practice” was specifically translated into a practical vegetable group cooking session. We also included vegetable recipes based on locally available vegetables in the intervention infographics. Intervention strategies linked to personal metabolic health and lifestyle needs, and environmental opportunities may help drive behaviour change and positively influence health outcomes [37]. Thus, BCT of; implementation intentions, goal setting and action planning were translated in to; (i) creating “if then plans” in line with metabolic health, (ii) SMART fruit/vegetable/PA goals, detailed action plans to achieve set SMART goals drawn considering environmental opportunities. Figure 2 below shows the hypothesised intervention logical model (conceptual framework) of behavioural change. Practical strategies built from BCT are hypothesized to effect changes in the change objectives, which in turn translate in changes in the determinants. Changes in the determinants in turn result in attainment of POs and corresponding behavioural intervention objectives.

    Fig. 2
    figure 2

    hypothesised intervention logical model for behavioural change (conceptual framework for the intervention)

    Step IV: Development of the intervention programme

    The practical strategies were built into the intervention scope and sequence, Additional file 5. The intervention consists of five interactive group sessions, 150 min each, Fig. 3. A booklet (infographics); on benefits/recommendations, local vegetable recipes, and practical tips to eat more fruits, vegetables and do more PA is included as a guide, Additional file 6. Tools to assess PA and food environment for opportunities were included, Additional file 7. As well a self-monitoring tool for PA, fruit and vegetable intake was included for participants to track their behaviour daily goals for use in the feedback sessions, Additional file 8. The infographics were designed with locally recognisable images as cultural relevance of health promotion materials is vital for the success of an intervention [20]. Messages on the infographics were framed in a positive and active tone as evidence shows that positively framed messages are more acceptable [20].

    Fig. 3
    figure 3

    Showing delivery timeline of the intervention sessions, intervention content (organised practical strategies from step III), role of participants, and anticipated outcome per session

    Brain storming workshop with planning group I and FGDs with the target group identified religious institution women group structures as an appropriate potential delivery channel. The women group structures boosts established social networks, community reach (85{e4f787673fbda589a16c4acddca5ba6fa1cbf0bc0eb53f36e5f8309f6ee846cf} Ugandans are Christians) and trust. The channel offers an opportunity for assessing the intervention effectiveness in an unrestricted real-life community setting.

    “Religious institutions because they are transparent, religious organizations because they reach out to a bigger community and then they are transparent. The health centers, there is that rudeness, and still for health centers will only meet those people who come to them, but the church, you get a bigger audience”, “Come to churches like this, people really belong to this communities, then you say every third Saturday or Sunday of the month, from 4 to 5 pm, there will always be a nutritional class, for the first-time people may not come, but eventually they come, if it is a free class”, participants in FGD 4.

    STEP V: Adoption and implementation plan

    The intervention will be delivered through institutional religious women groups (results of environmental asset assessment framework – see step IV). Through meetings with the strategic community leaders, a collaboration was established with Our Lady of Africa Catholic Parish, Mbuya. Mbuya Catholic Parish has six sub parishes. Within these sub parishes they are existing women groups, and these groups will be utilized for face-to-face intervention group sessions. FGDs with target group and meetings with planning group II pointed at the importance of opinion peer leaders being part of the implementation team.

    “Our women group leader has helped us a lot, she taught us the dangers of cooking in polyethene bags and taught us the use of banana leaves, us we had got so much used to using the polyethene bags, she can’t eat the food you have prepared in polyethene bags, even if she visits you and if you have cooked like that, she can’t eat that food. “We have musawo (village health team) in our group, she usually brings for us education sessions on how to eat, she goes a lot for these education sessions and what she learns she brings them back to us”, participants in FGD 6.

    Scientific evidence shows that the efficacy and acceptability of health promotion interventions increases if peer opinion leaders within the target group are part of the implementation team [38]. Peer opinion leaders provide entry and legitimacy to the external change agents and may help drive changes in social norms. Selection of peer opinion leaders: the intervention will be delivered within existing women groups. Leaders of these existing groups will be selected to work as peer opinion leaders on the implementation team. The main role and responsibilities peer opinion leaders will be to (i) mobilize fellow women to participate in the intervention, (ii) follow up and (iii) give social support to participating women to attain set intervention goals. Women leaders will be given a two – day refresher training on mobilization and leadership skills, as mobilization is the routine responsibility for women leaders in their usual group meetings. The planning group I designed the sessions to be moderated by health behavior coach (PhD researcher) following the techniques of motivational interviewing [39]. A general guide (scope & sequence) will ensure consistency during the group sessions.

    Step VI: Development of an evaluation plan

    Study design, setting and timing

    The effectiveness of the intervention will be evaluated through a cluster-randomized controlled trial. The intervention will be evaluated in Kampala, the capital city of Uganda. The six sub parishes of Mbuya catholic parish will be randomized to treatment and control arms, Fig. 4. The treatment arm will be exposed to both the developed intervention infographics and face to face group sessions while the control arm will only receive the developed intervention infographics. An awareness session will be organized to distribute the infographics to the control arm. Within the sub parishes, there are existing women groups. These existing groups will be utilized for face-to-face intervention group sessions. For the intervention purposes, each group will be limited to a maximum of 14 members. The study period is divided into two phases: a three-month intervention and a three-month post-intervention follow-up phase.

    Fig. 4
    figure 4

    Recruitment

    The PhD researcher and women leaders of existing groups will make presentations about the intervention during one of the routine meetings. Flyers with details of the intervention will be distributed for sharing with members who are absent during the briefing. At the end of the presentations, interested participants will be invited for the first session to test their eligibility to participate in the study. Eligible participants will be provided with an informed consent form to endorse.

    Inclusion criteria

    1. i)

      Sex (women),

    2. ii)

      Age (18 to 45 years),

    3. iii)

      Central obesity [waist circumference ≥ 80 cm]),

    4. iv)

      Fluent in either Luganda or English (sessions will be conducted in Luganda/English).

    5. v)

      Willingness to follow the three-months intervention and three months follow-up,

    6. vi)

      Willingness to sign the informed consent.

    Exclusion criteria

    1. i.

      Being treated for diabetes Mellitus Type 1 or Type 2, hypertension, high cholesterol, or any other cardio-metabolic related disease.

    2. ii.

      Pregnancy.

    Outcomes

    Primary outcome is reduction in waist circumference. Decreases in waist circumference are recommended as critically important treatment target for reducing adverse cardiometabolic health risks [15]. Secondary outcomes include optimisation of, fasting blood glucose, total cholesterol, HDL, LDL, triglycerides, body composition, food literacy, PA, and fruit and vegetable intake.

    Sample size calculation

    Sample size calculation is based on waist circumference.

    To calculate the sample size, we used the formula described by Rutterford, Copas [40], Table 3.

    Table 3 Description of sample size calculation

    Randomization

    The six sub parishes (clusters) will be listed alphabetically. A cluster randomization with a 1:1 allocation will then be applied to randomize the sub parishes to either the treatment or control arm. In the sub parishes, women group leaders and participants will be blinded about the study arms.

    Data collection

    Table 4 gives an overview of the different measurements and time points during the study.

    Table 4 Measurements and time points

    Data analysis

    Data will be analysed using R software. To evaluate the effects of the intervention, multilevel analysis will be used. Using this technique, regression coefficients will be adjusted for the clustering of observations within sub parishes. We will define two levels in our multi-level analysis: (1) participant and (2) sub parishes. Linear mixed effect models will be used to examine the effect of the intervention on each of the outcome values. All analyses will be performed according to the intention-to treat-principle [42]. To assess changes in metabolic health between the intervention and control groups, a linear mixed effect model will be built where “time” (end line measurement (M2) will be compared with base-line measurement (M1) and post-follow up measurement (M3)), treatment (and interaction of time and treatment) as well as age will be specified as fixed effects, and sub parishes and participants as random factors. For all linear mixed models, compatibility with mixed-model assumptions will be checked by inspection of residual plots and Q-Q plots. In the case of heteroscedastic residuals, data will be log transformed. Tukey or Benjamini–Hochberg procedures will be applied when performing post hoc analyses to further identify differences within treatments as well as between time points. Statistical outliers will be defined as any observation which has an absolute residual exceeding 3 times the residual standard deviation. p < 0.05 will be considered significant in all analyses.