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Normative-framework|OMICS International|Journal Of Obesity And Weight Loss Therapy

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Normative-framework-high-impact-factor-journals.php

The social influences on eating are complex and that the direction of the influence (increase vs. decrease) depends on situational (e.g., how much the “other” is eating) and individual (e.g., weight status) factors. Herman and his colleagues integrated these mechanisms into a normative framework accounting for the effects of others on eating. This normative model posits that, in the presence of palatable food, and in the absence of other constraints, people are motivated to eat as much as they want but that the presence of others, and perceptions of social norms, determine when eating stops. In other words, individuals are motivated to eat as much as they can. However, social norms serve an inhibitory function, indicating at what point individuals must stop eating if they are to avoid excess and become socially inappropriate (i.e., social facilitation). What might appear to be a systematic matching or modeling of food intake in some cases would actually be a systematic effort to avoid incurring the stigma of excess, or to conform to the norms in place. In this framework, individuals conform to others’ behaviors because they see the amount eaten by others as an indicator of how much one can/should eat or because they believe that by conforming they will ingratiate themselves to others, and thus positively manage their impression High-impact journals are those considered to be highly influential in their respective fields. The impact factor of journal provides quantitative assessment tool for grading, evaluating, sorting and comparing journals of similar kind. It reflects the average number of citations to recent articles published in science and social science journals in a particular year or period, and is frequently used as a proxy for the relative importance of a journal within its field. It is first devised by Eugene Garfield, the founder of the Institute for Scientific Information. The impact factor of a journal is evaluated by dividing the number of current year citations to the source items published in that journal during the previous two years.
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Last date updated on April, 2024

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