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1.
BMC Public Health ; 18(1): 319, 2018 03 06.
Artigo em Inglês | MEDLINE | ID: mdl-29510715

RESUMO

BACKGROUND: Sitting (sedentary behaviour) is widespread among desk-based office workers and a high level of sedentary behaviour is a risk factor for poor health. Reducing workplace sitting time is therefore an important prevention strategy. Interventions are more likely to be effective if they are theory and evidence-based. The Behaviour Change Wheel (BCW) provides a framework for intervention development. This article describes the development of the Stand More AT Work (SMArT Work) intervention, which aims to reduce sitting time among National Health Service (NHS) office-based workers in Leicester, UK. METHODS: We followed the BCW guide and used the Capability, Opportunity and Motivation Behaviour (COM-B) model to conduct focus group discussions with 39 NHS office workers. With these data we used the taxonomy of Behaviour Change Techniques (BCTv1) to identify the most appropriate strategies for facilitating behaviour change in our intervention. To identify the best method for participants to self-monitor their sitting time, a sub-group of participants (n = 31) tested a number of electronic self-monitoring devices. RESULTS: From our BCW steps and the BCT-Taxonomy we identified 10 behaviour change strategies addressing environmental (e.g. provision of height adjustable desks,), organisational (e.g. senior management support, seminar), and individual level (e.g. face-to-face coaching session) barriers. The Darma cushion scored the highest for practicality and acceptability for self-monitoring sitting. CONCLUSION: The BCW guide, COM-B model and BCT-Taxonomy can be applied successfully in the context of designing a workplace intervention for reducing sitting time through standing and moving more. The intervention was developed in collaboration with office workers (a participatory approach) to ensure relevance for them and their work situation. The effectiveness of this intervention is currently being evaluated in a randomised controlled trial. TRIAL REGISTRATION: ISRCTN10967042 . Registered on 2 February 2015.


Assuntos
Comportamentos Relacionados com a Saúde , Promoção da Saúde/métodos , Saúde Ocupacional , Postura , Local de Trabalho , Adulto , Idoso , Feminino , Grupos Focais , Humanos , Masculino , Pessoa de Meia-Idade , Programas Nacionais de Saúde , Fatores de Risco , Comportamento Sedentário , Fatores de Tempo , Reino Unido , Adulto Jovem
2.
Ann Hum Biol ; 41(1): 1-8, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-23992280

RESUMO

BACKGROUND: Physical activity (PA), sedentary behaviour (SB), sleep and diet have all been associated with increased risk for chronic disease. Seasonality is often overlooked as a determinant of these behaviours in adults. Currently, no study has simultaneously monitored these behaviours in UK adults to assess seasonal variation. AIM: The present study investigated whether PA, SB, sleep and diet differed over season in UK adults. SUBJECTS AND METHODS: Forty-six adults (72% female; age = 41.7 ± 14.4 years, BMI = 24.9 ± 4.4 kg/m(2)) completed four 7-day monitoring periods; one during each season of the year. The ActiGraph GT1M was used to monitor PA and SB. Daily sleep diaries monitored time spent in bed (TIB) and total sleep time (TST). The European Prospective Investigation of Cancer (EPIC) food frequency questionnaire (FFQ) assessed diet. Repeated measures ANOVAs were used to identify seasonal differences in behaviours. RESULTS: Light-intensity PA was significantly higher in summer and spring (p < 0.001). SB and TIB were significantly higher in winter (p < 0.01). There were no seasonal variations detected in moderate-vigorous PA, TST or diet (p > 0.05). CONCLUSIONS: Findings support the concept that health promotion campaigns need to encourage year-round participation in light intensity PA, whilst limiting SB, particularly during the winter months.


Assuntos
Dieta , Atividade Motora , Comportamento Sedentário , Sono , Adulto , Análise de Variância , Inglaterra , Feminino , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Estações do Ano , Inquéritos e Questionários
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