• Title/Summary/Keyword: consumer%27s recognition

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Perception of Nutrition Labeling on Restaurant Menus among Adults in Suwon (수원시 거주 성인의 외식 메뉴 영양표시에 대한 인식)

  • Sohn, Chun-Young
    • Korean Journal of Community Nutrition
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    • v.14 no.4
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    • pp.420-429
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    • 2009
  • The purposes of this study were to investigate the perception of nutrition labeling on restaurant menus, and to analyze the differences among subject's characteristics, eating-out behaviors, and dietary attitudes. Information concerning general characteristics, health status, eating-out behaviors and dietary attitudes of subjects was collected by a structured questionnaire. From January 5th to February 27th in 2009, 406 questionnaires were completed by 157 males and 249 females. Statistical analyses were performed using by SPSS 14.0 package program. The perception of the importance of nutrition labeling was 3.89, while knowledge of whether restaurants provided sufficient nutrition information scored 2.26 indicating that being highly conscious of nutrition labeling, respondents did not view the supplied information as sufficient. Nutritional perception was greater in females and varied in both genders with age and health status. Significant differences concerning the perceptions of nutrition labeling were evident, based on eating-out behaviors and dietary attitudes. The results imply that nutrition labeling on restaurant menus should be based on consumer characteristics. Relevant nutrition labeling might help improve health by encouraging proper dietary habits and providing valuable nutritional information. Recognition of the importance of nutrition labeling and strategic implementation of labeling in menus would be prudent strategies for restaurant managers. (Korean J Community Nutrition 14(4) : 420${\sim}$429, 2009)

A Study on Pattern Recognition to Compute Guidelines Based on Evidence for Ecological Healing Environment at Agha Khan Hospital in Karachi - Focused on Human Thermal Comfort Model (HTCM), for Karachi, using Climate Consultant Program

  • Shaikh, Javaria Manzoor;Park, Jae Seung
    • KIEAE Journal
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    • v.15 no.2
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    • pp.27-35
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    • 2015
  • Purpose: Healthcare is on the whole a personal and critical service that consumer's use, whereas hospitalization is as a rule painful, because nature nurtures and Sun Light Luminosity for healthcare settings is considered healing. The performance and design of climate responsive buildings such as AKU requires a detailed study of attributes of climate both at micro as well as macro level. The therapeutic value of contact with nature through window view, greenery and landscape is calculated there. Method: A two prong strategy is been devised for this article, at micro level three typical morphologies are analysed by creating same environment of neighboring building on sun shading chart, radiation and temperature range. Since the analysis of local climate helps to determine the design strategies for hospital Healing Environment which is suitable for Karachi climate; in order to track the macro climatic behaviour, a considerable analysis of psychometrics chart for AKU Karachi are designed on Climate Consultant (CC) and analysed by Machine Learning. Climate Consultant proposes different design strategies suitable for Karachi. And on the other hand time wise illumination sources for clinical area which are then measured on psychrometric chart- according to singular space: multi patient admission, secondly: acute ambulatory ward, and tertiary: multi windowed space according to the mushrabiyah and sky light pattern. Result: Our findings support the hypothesis that windowed wall is 75-80% more healing wall; an accelerated evidence was found for healing at macro level if the form of the hospital is designed according to the climatologically preferences, whereas at micro level: the light resource becomes the staff attentiveness determinant. In Conclusion evidence was provided that the actual form of luminosity results consequently in satisfaction while light entering from several set of windows and other sources might be valued if design according to the healing environment. The data added on the sun shading chart to calculate rays entraining into space in patient room equal to 124416.21 Watts/ meter $m^2$ is calculated as precise healing rate-and is confirmed by questionnaire from patients belonging from each clinical stage having different illnesses.