Reflective Account of Learning

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Essay Reflective Account of Learning in This Module. The work is to be 6 pages with three to five sources, with in-text citations and a reference page. My experience as a health promotion practitioner in this module has been of many benefits, especially the use of behaviour change as a method of health promotion. Behaviour in this context refers to the product of individual or collective action that is a primary determinant of people’s health (Marmotet al. 2008, p.1664). This has a lot to do with people’s lifestyle risk factors, which are now leading contributors to morbidity and mortality in Europe. It is worth noting that one of the important theories that have affected my thinking is the social cognitive theory. The understanding of concepts in this theory as well as their applicability has gone a long way in helping me in conceptualising the principles, theoretical frameworks and methods of health promotion. I have become more critical and creative thinker than there before. It has assisted me in knowing how to interact with people and embrace human diversity. However, apart from the Trans-theoretical Model, Social Cognitive Theory and the Theory of Planned Behaviour concepts I learnt in this course, I was happy by the use of technology to change behaviour. The use of E-health interventions delivered by the internet more effectively. The information is accessible from anywhere by the use of computers and mobile phones that are accessible by the larger part of the population because they are cost-effective (Malvey & Slovensky 2014, p. 30). These interventions have the basis on the planned behaviour theory of behaviour change, which assumes that individuals’ expression determined by purpose and is under projectable by approaches, independent norm, and perceived action control. I was delighted to learn that mobile phones are applicable as the most convenient way of delivering behavioural interventions (Trainor, 2010). This is due to the development of mobile technology including internal sensors of user position, emotion, and social engagement that raises the view of continuous and automated tracking of health-related behaviours.

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