Guide: How to cite a Email in The Open University (numeric, superscript) style

Guide: How to cite a Email in The Open University (numeric, superscript) style

Cite A Email in The Open University (numeric, superscript) style

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Use the following template to cite a email using the The Open University (numeric, superscript) citation style. For help with other source types, like books, PDFs, or websites, check out our other guides. To have your reference list or bibliography automatically made for you, try our free citation generator.

Key:

Pink text = information that you will need to find from the source.
Black text = text required by the The Open University (numeric, superscript) style.

Reference list

Place this part in your bibliography or reference list at the end of your assignment.

Template:

1  Author Surname, Author Forename (Year Published) 'Title'.

Example:

1  Robles, Brenda, Blitstein, Jonathan L, Lieberman, Alicea J and Barragan, Noel C et al. (2015) 'The relationship between amount of soda consumed and intention to reduce soda consumption among adults exposed to the Choose Health LA ‘Sugar Pack’ health marketing campaign'. Public Health Nutrition, pp. 1-10.

In-text citation

Place this part right after the quote or reference to the source in your assignment.

Template

1

Example

Abstract
Objective To examine behavioural intention to reduce soda consumption after exposure to the Choose Health LA ‘Sugar Pack’ campaign in Los Angeles County, California, USA.
Design A cross-sectional street-intercept survey was conducted to assess knowledge, attitudes, health behaviours and behavioural intentions after exposure to the ‘Sugar Pack’ campaign. A multivariable regression analysis was performed to examine the relationships between the amount of soda consumed and self-reported intention to reduce consumption of non-diet soda among adults who saw the campaign.
Setting Three pre-selected Los Angeles County Metro bus shelters and/or rail stops with the highest number of ‘Sugar Pack’ campaign advertisement placements.
Subjects Riders of the region’s Metro buses and railways who were the intended audience of the campaign advertisements.
Results The overall survey response rate was 56 % (resulting n 1041). Almost 60 % of respondents were exposed to the advertisements (619/1041). The multivariable logistic regression analysis suggested that the odds of reporting intention to reduce soda consumption among moderate consumers (1–6 sodas/week) were 1·95 times greater than among heavy consumers (≥1 soda/d), after controlling for clustering and covariates. Respondents with less than a high-school education and who perceived sugary beverage consumption as harmful also had higher odds; in contrast, respondents aged ≥65 years had lower odds.
Conclusions Results suggest that future campaigns should be tailored differently for moderate v. heavy consumers of soda. Similar tailoring strategies are likely needed for younger groups, for those with less educational attainment and for those who do not perceive consumption of soda as harmful. 1

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