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      Pilot implementation of Bukhali: A preconception health trial in South Africa

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          Abstract

          Objectives:

          This article describes the learnings from the pilot phase of the Healthy Life Trajectories Initiative, a preconception health trial for 18- to 25-year-old women in Soweto, South Africa.

          Methods:

          The study compares two arms focussed on either physical and mental health (intervention; delivered by community health workers – ‘Health Helpers’) or standard of care plus (control; standard access to healthcare plus additional telephonic input on ‘life skills’; delivered by call centre assistants). These are collectively referred to as Bukhali. Data on the pilot implementation of the Bukhali trial (n = 1655) were collected from (1) weekly team meetings, (2) two focus groups (one with the intervention team Health Helpers, n = 7; one with intervention participants, n = 8) and one paired interview with control call centre assistants (n = 2), (3) notes from eight debrief sessions with Health Helpers and (4) quantitative trial monitoring data. Qualitative data were thematically analysed.

          Results:

          The findings clustered within three themes: (1) challenges for young women in Soweto, (2) priorities for young women in Soweto and (3) implementation challenges and perceptions of the intervention. Challenges were mostly related to tough socioeconomic circumstances and less prioritisation of living a healthier life. The priorities of employment and educational opportunities reflected the socioeconomic challenges, where health was not recognised as priority. The main challenge to participation and compliance with the trial was that young women in Soweto generally wanted a tangible and preferably financial and immediate benefit. Community peer sessions, despite being recommended by young women as part of the intervention development, were not successful. Many women also moved between multiple households within Soweto, which flagged concerns for a cluster trial and risk of contamination.

          Conclusion:

          Preconception health trials should consider socioeconomic challenges present in urban poor contexts. Learnings from the pilot phase significantly affected the design and implementation of the main Bukhali trial.

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          Most cited references24

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          Sleep and obesity.

          This review summarizes the most recent evidence linking decreased sleep duration and poor sleep quality to obesity, focusing upon studies in adults. Published and unpublished health examination surveys and epidemiological studies suggest that the worldwide prevalence of obesity has doubled since 1980. In 2008, 1 in 10 adults was obese, with women more likely to be obese than men. This obesity epidemic has been paralleled by a trend of reduced sleep duration. Poor sleep quality, which leads to overall sleep loss has also become a frequent complaint. Growing evidence from both laboratory and epidemiological studies points to short sleep duration and poor sleep quality as new risk factors for the development of obesity. Sleep is an important modulator of neuroendocrine function and glucose metabolism and sleep loss has been shown to result in metabolic and endocrine alterations, including decreased glucose tolerance, decreased insulin sensitivity, increased evening concentrations of cortisol, increased levels of ghrelin, decreased levels of leptin, and increased hunger and appetite. Recent epidemiological and laboratory evidence confirm previous findings of an association between sleep loss and increased risk of obesity.
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            Using thematic analysis in psychology

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              Interacting epidemics? Sleep curtailment, insulin resistance, and obesity

              In the last 50 years, the average self-reported sleep duration in the United States has decreased by 1.5–2 hours in parallel with an increasing prevalence of obesity and diabetes. Epidemiological studies and meta-analyses report a strong relationship between short or disturbed sleep, obesity, and abnormalities in glucose metabolism. This relationship is likely to be bidirectional and causal in nature, but many aspects remain to be elucidated. Sleep and the internal circadian clock influence a host of endocrine parameters. Sleep curtailment in humans alters multiple metabolic pathways, leading to more insulin resistance, possibly decreased energy expenditure, increased appetite, and immunological changes. On the other hand, psychological, endocrine, and anatomical abnormalities in individuals with obesity and/or diabetes can interfere with sleep duration and quality, thus creating a vicious cycle. In this review, we address mechanisms linking sleep with metabolism, highlight the need for studies conducted in real-life settings, and explore therapeutic interventions to improve sleep, with a potential beneficial effect on obesity and its comorbidities.
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                Author and article information

                Journal
                SAGE Open Med
                SAGE Open Med
                SMO
                spsmo
                SAGE Open Medicine
                SAGE Publications (Sage UK: London, England )
                2050-3121
                7 July 2020
                2020
                : 8
                : 2050312120940542
                Affiliations
                [1 ]South African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
                [2 ]Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
                [3 ]Departments of Obstetrics and Gynaecology, Physiology and Medicine, University of Toronto, ON, Canada
                Author notes
                [*]CE Draper, South African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2050, Gauteng, South Africa. Email: catherine.draper@ 123456wits.ac.za
                Author information
                https://orcid.org/0000-0002-2885-437X
                https://orcid.org/0000-0002-6913-0706
                Article
                10.1177_2050312120940542
                10.1177/2050312120940542
                7346699
                32685150
                4ec6f1ef-163d-4cc7-ac2c-e46a4cfff716
                © The Author(s) 2020

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 14 January 2020
                : 17 June 2020
                Funding
                Funded by: Canadian Institutes of Health Research, FundRef https://doi.org/10.13039/501100000024;
                Funded by: South African Medical Research Council, FundRef https://doi.org/10.13039/501100001322;
                Categories
                Original Article
                Custom metadata
                January-December 2020
                ts1

                low- and middle-income country,intervention,women’s health,preconception health,preconception care,implementation science

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