• Journal of Korean society of Dental Hygiene
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• v.6 no.4
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• pp.325-337
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• 2006

The purpose of this study was to examine the oral health state of the elderly in an effort to pave the way for dental health project planning for the elderly for the city of Jeonju and to help promote the oral health of the elderly population to which health care services weren't accessible a lot. The subjects in this study were 300 elderly people who were in their 60s and up and used 10 different welfare establishments for the elderly in Jeonju. A survey was conducted from May 3 through 13, 2005, by interviewing them in person, and the collected data were analyzed. The findings of the study were as follows: 1. In terms of the period of oral health examination, 44.1 percent of the 66-70 age group, 48.1 percent of the elementary school graduates and 39.4 percent of the house owners had their teeth examined whenever they had a toothache. So their cycle of oral health examination was statistically significantly different according to age(p<.05), education(p<0.001) and form of residence(p<0.001). 2. Regarding the necessity of prosthesis, prosthesis was needed by 52.1 percent of the age group from 71 to 80, 44.3 percent of the women, 48.9 percent of the men, 60.0 percent of the community college graduates and 55.9 percent who rent a house on a deposit or monthly basis. But there was no statistically significant gap among the groups. 3. As for the necessity of oral health education, the necessity of it was absolutely supported by 89.7 percent of the 66-70 age group, 76.0 percent of the women, 87.2 percent of the men, 95.3 percent of the middle school graduates and 87.7 percent of the house owners. Their age(p<.0.01), gender(p<0.05) education(p<0.05) and form of residence(p<0.01) made a statistically significant difference to that. 4. Concerning oral health education experience, 79.3 percent of the high school graduates and 79.8 percent of the house owners had never received oral health education, and that experience statistically significantly varied with education(p<0.001) and form of residence (p<0.001). 5. As to the biggest reason for oral health care, 50.0 percent found it necessary to take care of their teeth to ensure their own perpetual oral health, and 33.7 percent felt the need for that because they had a toothache. The above-mentioned findings indicated that the elderly people were definitely in want of oral health education. Dental hygienists in public dental clinics should serve as dental health educators to address their needs, and regular oral health care programs should be prepared to spread awareness about the importance of oral health among elderly locals.

• Journal of Global Scholars of Marketing Science
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• v.20 no.1
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• pp.89-97
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• 2010

This study researches the effects of common features on a no-choice option with respect to regulatory focus theory. The primary interest is in three factors and their interrelationship: common features, no-choice option, and regulatory focus. Prior studies have compiled vast body of research in these areas. First, the "common features effect" has been observed bymany noted marketing researchers. Tversky (1972) proposed the seminal theory, the EBA model: elimination by aspect. According to this theory, consumers are prone to focus only on unique features during comparison processing, thereby dismissing any common features as redundant information. Recently, however, more provocative ideas have attacked the EBA model by asserting that common features really do affect consumer judgment. Chernev (1997) first reported that adding common features mitigates the choice gap because of the increasing perception of similarity among alternatives. Later, however, Chernev (2001) published a critically developed study against his prior perspective with the proposition that common features may be a cognitive load to consumers, and thus consumers are possible that they are prone to prefer the heuristic processing to the systematic processing. This tends to bring one question to the forefront: Do "common features" affect consumer choice? If so, what are the concrete effects? This study tries to answer the question with respect to the "no-choice" option and regulatory focus. Second, some researchers hold that the no-choice option is another best alternative of consumers, who are likely to avoid having to choose in the context of knotty trade-off settings or mental conflicts. Hope for the future also may increase the no-choice option in the context of optimism or the expectancy of a more satisfactory alternative appearing later. Other issues reported in this domain are time pressure, consumer confidence, and alternative numbers (Dhar and Nowlis 1999; Lin and Wu 2005; Zakay and Tsal 1993). This study casts the no-choice option in yet another perspective: the interactive effects between common features and regulatory focus. Third, "regulatory focus theory" is a very popular theme in recent marketing research. It suggests that consumers have two focal goals facing each other: promotion vs. prevention. A promotion focus deals with the concepts of hope, inspiration, achievement, or gain, whereas prevention focus involves duty, responsibility, safety, or loss-aversion. Thus, while consumers with a promotion focus tend to take risks for gain, the same does not hold true for a prevention focus. Regulatory focus theory predicts consumers' emotions, creativity, attitudes, memory, performance, and judgment, as documented in a vast field of marketing and psychology articles. The perspective of the current study in exploring consumer choice and common features is a somewhat creative viewpoint in the area of regulatory focus. These reviews inspire this study of the interaction possibility between regulatory focus and common features with a no-choice option. Specifically, adding common features rather than omitting them may increase the no-choice option ratio in the choice setting only to prevention-focused consumers, but vice versa to promotion-focused consumers. The reasoning is that when prevention-focused consumers come in contact with common features, they may perceive higher similarity among the alternatives. This conflict among similar options would increase the no-choice ratio. Promotion-focused consumers, however, are possible that they perceive common features as a cue of confirmation bias. And thus their confirmation processing would make their prior preference more robust, then the no-choice ratio may shrink. This logic is verified in two experiments. The first is a $2{\times}2$ between-subject design (whether common features or not X regulatory focus) using a digital cameras as the relevant stimulus-a product very familiar to young subjects. Specifically, the regulatory focus variable is median split through a measure of eleven items. Common features included zoom, weight, memory, and battery, whereas the other two attributes (pixel and price) were unique features. Results supported our hypothesis that adding common features enhanced the no-choice ratio only to prevention-focus consumers, not to those with a promotion focus. These results confirm our hypothesis - the interactive effects between a regulatory focus and the common features. Prior research had suggested that including common features had a effect on consumer choice, but this study shows that common features affect choice by consumer segmentation. The second experiment was used to replicate the results of the first experiment. This experimental study is equal to the prior except only two - priming manipulation and another stimulus. For the promotion focus condition, subjects had to write an essay using words such as profit, inspiration, pleasure, achievement, development, hedonic, change, pursuit, etc. For prevention, however, they had to use the words persistence, safety, protection, aversion, loss, responsibility, stability etc. The room for rent had common features (sunshine, facility, ventilation) and unique features (distance time and building state). These attributes implied various levels and valence for replication of the prior experiment. Our hypothesis was supported repeatedly in the results, and the interaction effects were significant between regulatory focus and common features. Thus, these studies showed the dual effects of common features on consumer choice for a no-choice option. Adding common features may enhance or mitigate no-choice, contradictory as it may sound. Under a prevention focus, adding common features is likely to enhance the no-choice ratio because of increasing mental conflict; under the promotion focus, it is prone to shrink the ratio perhaps because of a "confirmation bias." The research has practical and theoretical implications for marketers, who may need to consider common features carefully in a practical display context according to consumer segmentation (i.e., promotion vs. prevention focus.) Theoretically, the results suggest some meaningful moderator variable between common features and no-choice in that the effect on no-choice option is partly dependent on a regulatory focus. This variable corresponds not only to a chronic perspective but also a situational perspective in our hypothesis domain. Finally, in light of some shortcomings in the research, such as overlooked attribute importance, low ratio of no-choice, or the external validity issue, we hope it influences future studies to explore the little-known world of the "no-choice option."