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Effects of food neophobia and oral health on the nutritional status of community-dwelling older adults

A Correction to this article was published on 17 May 2022

This article has been updated

Abstract

Background

Food preferences and oral health of older adults greatly affect their nutritional intake, and old-age–related increase in food neophobia may consequently reduce food intake in older adults. This study aimed to determine the impact of food neophobia and oral health on nutritional risk in community-dwelling older adults.

Methods

This cross-sectional study included 238 independent adults aged ≥ 65 years (mean, 76.3 ± 7.3 years). The survey items included a Food Neophobia Scale, frequency of protein intake, oral-health–related quality of life (QOL) assessment, and oral diadochokinesis (ODK; /pa/, /ta/, /ka/) as an index of oral function. Nutritional status was assessed using the Mini Nutritional Assessment®, and based on a cutoff value of 24 points, respondents were categorized as well-nourished (≥ 24 points, Group 1) or at risk of malnutrition (< 24 points, Group 2). A logistic regression model was used to calculate the adjusted odds ratio (adj-OR) with 95% confidence interval (CI) to identify risks factors for malnutrition associated with food neophobia and oral health.

Results

Factors associated with the risk of malnutrition in the older population were higher food neophobia (adj-OR = 1.036, 95% CI: 1.007–1.067) and lower oral function (OR = 0.992, 95% CI: 0.985–0.999) and lower oral-health–related QOL (adj-OR = 0.963, 95% CI: 0.929–0.999).

Conclusions

Older adults at risk of developing malnutrition may have higher food neophobia and lower oral function and oral-health–related QOL. Factors contributing to preventing malnutrition include predicting the risk of malnutrition based on the oral health indicators that older people are aware of, signs appearing in the oral cavity, minor deterioration, and providing dietary guidance about food neophobia. Notably, these approaches represent novel strategies for nutrition support that can be implemented based on a multifaceted understanding of the eating habits of older adults.

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Background

In 2007, Japan became a super-aged society, as defined by the World Health Organization and the United Nations, with an aging rate of over 21%. The speed of this event remains unparalleled and this rate is the highest worldwide. Hence, low nutrition among older adults is becoming more apparent, and the number of older adults at risk of developing malnutrition is expected to increase with the increasing aging rate. In particular, according to a survey conducted in 2014, 17.8% of those aged ≥ 65 years were prone to malnutrition, and this figure increased to approximately 20% among those aged ≥ 80 years [1]. Further, about one-third to one-quarter of the general older population is thought to be malnourished [2]. Among older adults, nutritional status is closely related to general health, disease development, and quality of life (QOL), making it an extremely important issue [3, 4]. Notably, this trend of low nutrition in older adults appears to be occurring on a global scale [5, 6] and thus requires urgent intervention.

Dietary practices of older adults are shaped by long-term eating habits that begin in youth and develop throughout life, and as it has been reported that older adults tend to have less diverse diets, there is concern that this population may have a narrowed range of preferences and monotonous food intake [7]. Birch et al. [8] attempted to explain the idea of food neophobia, which is defined as a concept that captures the tendency to hesitate and avoid novel foods, as a factor that influences food intake and nonconsumption. Interestingly, food neophobia has also been observed in other omnivores [9]. Remarkably, food neophobia has been shown to be more prevalent in older age groups [10, 11], and a study by Tuorila et al. reported higher levels of food neophobia in older adults aged > 66 years compared with other age groups [12]. Further, a study by Heikki et al. [13] reported that those with high food neophobia had lower levels of nutrients, such as proteins. This is especially important in older adults as it may lead to the development of diseases. Nevertheless, a relationship between food neophobia and low nutrition has not been established yet.

Intuitively, healthy functioning of the oral cavity is essential for the physical functioning of older adults as it ensures adequate nutrition. Although it has been shown that a reduction in the number of teeth [14] and a decline in oral function [15] and oral-health–related QOL [16] are associated with nutritional status, previous studies have only illustrated the independent impact of each factor. In clinical practice, despite the potential problem of food neophobia, oral support and nutritional guidance are provided without a clear understanding of the food recognition and acceptance process [17]. Therefore, the purpose of this study was to introduce food neophobia and oral health as a model and to identify factors that are strongly related to nutritional risk.

Methods

Study design and sample

This cross-sectional study was conducted between 2015 and 2016 and included 238 community-dwelling individuals aged ≥ 65 years. Representatives of all the senior citizens’ association groups that collaborated with the health center in a rural area of Kumamoto prefecture were requested to explain the purpose of the survey and provide cooperation. To increase the representativeness of the older adult population, we selected participants equally from groups clustered according to the region. Convenience sampling was used during the survey. A preliminary survey conducted in the same area among older adults (n = 20; age = 78.7 ± 6.4 years) indicated no major problems with the survey methodology or questionnaire responses. The main survey was conducted by visiting the community activity site of a senior citizens’ association group that had obtained consent from the participants. The dental hygienist in-charge of the survey, who had been trained in advance, directly asked all participating senior citizens to cooperate in the survey. An investigator distributed self-administered questionnaires to the participants who provided consent and checked for omissions. Oral function was examined based on oral diadochokinesis (ODK) using an oral function measurement device, and this assessment was performed directly after the Mini Nutritional Assessment® (MNA) interview and the measurement of calf and mid-arm circumferences. The study participants were independent older adults who were living at home, did not suffer from dementia (confirmed by a physician), and were able to walk independently.

Survey items

Information on basic attributes, food neophobia and intake, protein intake frequency, oral-health–related QOL, and nutritional status (MNA) was collected from the study participants. The number of teeth and oral function were also assessed.

Demographic data and medical history of the study participants

Information on the participants’ age, sex, underlying diseases, family structure, individual responsible for cooking, and health guidance knowledge on physical and oral health was collected.

Food neophobia scale

We used the Food Neophobia Scale developed by Pliner et al. (1992), the reliability of which has been previously confirmed [18]. The scores on the Food Neophobia Scale ranged from 10 to 70, with higher scores indicating a greater level of food neophobia. The scale comprised 10 items, and the options for answers ranged from 1: “I don’t think so at all” to 7: “I absolutely think so” on a 7-point scale.

Frequency of protein intake

The Dietary Variety Score (DVS) [19] was used in this study to assess the frequency of protein intake by summing the scores for meat, seafood, eggs, soy products, and milk as follows: 1: “Almost every day,” 2: “Once every two days,” 3: “Once a week,” and 4: “I hardly eat.” The scores for each question item were reversed so that higher scores indicated greater frequency of protein intake. The total score obtained for the five foods ranged from 5 to 20, with higher scores indicating more frequent protein intake.

Oral-health–related QOL

We used the oral health impact profile-14 (OHIP14) (14-item version) [20] to measure oral-health–related QOL. The options ranged from 1: “never” to 5: “always” for each factor, and as the scores for each item were reversed, the total scores ranged from 7 to 70, with higher scores indicating a higher QOL.

Nutritional status

Nutritional status was evaluated using the MNA [21, 22], which comprises 18 items. The participants were classified into the following three categories depending on their scores: well-nourished (24–30 points), at risk of malnutrition (17–23.5 points), and malnourished (0–16.5 points). The MNA ranged from 0 to 30 points, with lower scores indicating a higher risk of malnutrition. This is a well-validated tool and this method of scoring yielded a sensitivity of 96%, specificity of 98%, and positive predictive value of 97% [23].

Oral function

Oral function was evaluated using ODK, in which the number of times /Pa/, /Ta/, and /Ka/ were pronounced in succession for 5 s was measured using an oral function measurement device (Kenkokun Handy, Takei Scientific Instruments Co. Ltd.) [24]. Motor function of the lip was assessed using the sound /Pa/, that of the anterior region of the tongue was assessed using /Ta/, and that of the posterior region of the tongue was assessed using /Ka/.

Ethical considerations

The following aspects were explained to all potential participants: aims and outline of the study, participant rights (voluntary participation and cooperation and right to refuse participation), protection of privacy by questionnaire coding, protection of personal information and confidentiality of data, and destruction of the questionnaire immediately after study completion. Only those who gave their consent were included in the study. This study was approved by the ethical review board of the Kagoshima University Faculty of Medicine (approval number 292).

Statistical analysis

Demographic data and medical history variables were evaluated using descriptive statistics. Based on a cutoff value of 24 for the MNA score, participants were categorized as well-nourished (> 24 points, Group-1) or at risk of malnutrition (< 24 points, Group-2). The two groups were compared using Mann–Whitney U test and χ2 test. A logistic regression model was used to calculate adjusted odds ratios (adj-OR) with 95% confidence interval (CI) for risk factors of malnutrition that were associated with food neophobia and oral health. The multivariable logistic regression analysis was performed with the forced substitution of age and sex as well as the stepwise selection of food neophobia, protein intake frequency, ODK, number of teeth, and oral-health–related QOL. A two-sided p-value of < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS ver.25.0 (IBM).

Results

The basic attributes of the 238 participants are shown in Table 1. The study population included 67 (28.2%) men and 171 (71.8%) women.

Table 1 Basic attributes (n = 238)

Table 2 compares nutritional status as a function of key variables between Groups 1 and 2, revealing significant differences between them in terms of age (p = 0.001), sex distribution (p = 0.018), food neophobia (p = 0.001), oral-health–related QOL (p = 0.024), ODK (p = 0.001), and number of teeth at present (p = 0.024). However, there were no obvious differences in the frequency of protein intake.

Table 2 Comparison of nutritional status as a function of major variables and measures (n = 238)

Table 3 lists adj-ORs for the risk factors of malnutrition listed in Table 2. The results of the χ2 test for the model were p < 0.05, and each variable was significant. The results of the Hosmer–Lemeshow test were p = 0.27, and the model fit well with a discriminant accuracy rate of 78.2%. Participants with higher age or greater food neophobia had a higher risk of malnutrition, with an adj-OR of 1.036 (95% CI: 1.007–1.067, p = 0.016) for food neophobia. Conversely, participants with higher oral-health–related QOL or ODK had a lower risk of malnutrition, with an adj-OR of 0.963 (95% CI: 0.929–0.999, p = 0.044) for oral-health–related QOL and an adj-OR of 0.992 (95% CI: 0.985–0.999, p = 0.036) for ODK.

Table 3 Odds ratios and 95% confidence intervals for risk factors of malnutrition associated with food neophobia and its covariates

Multivariable logistic regression model with adjustment for all variables is shown in Table 2.

Discussion

This cross-sectional study was conducted on 238 community-dwelling older adults. Food neophobia and oral health were introduced as models, and their association with nutritional risk was examined. The results showed that food neophobia, oral function, and oral-health–related QOL were associated with a risk of malnutrition. According to the 2015 census, the aging rate of people aged ≥ 65 years in the study area was approximately 31.2%, which was higher than the national average of approximately 26.7% in Japan. Interviews were conducted to increase the reliability of the data obtained from the participating older adults, and as the survey targeted older adults who voluntarily participate in community activities, we thought that this group would be highly interested in diet and health [25, 26]. The MNA revealed 0.4% of the population to be malnourished, 26.89% to be at risk of malnutrition, and 72.68% to be well-nourished, indicating that the nutritional status of the study population was similar to that reported in previous studies [27]. For ODK, although the obtained values tended to be lower than the standard values for independent older people [24], as similar values have been reported in previous studies [28], oral function was not considered to be compromised in our study population compared with other study populations.

One study reported a 25% decrease in daily calorie consumption from the age of 40 years to 70 years [29]. Among older adults, energy intake is reduced due to lower energy expenditure, and in general, older adults tend to lose weight [30] if physiological factors associated with aging lead to anorexia, which can affect their nutritional status. The results of this study showed that age was not significantly associated with the risk of malnutrition.

Effect of food neophobia on nutritional status

Food neophobia in older adults was found to be significantly associated with the risk of malnutrition and has been reported to significantly reduce the intake of 20 nutrients [31], attesting to the high external validity of this study. A decrease in the intake of three or more nutrients has been suggested to be significantly associated with frailty that is independent of energy intake [32], implying that food restriction due to food neophobia may be a mechanistic cause of malnutrition.

In contrast, familial practices of food neophobia have been shown to be highly influenced by vertical inheritance and by family members who live together [33,34,35]. In particular, it has been reported that when consuming novel foods, an individual’s appetite decreases if the person they are eating with shows disgust but increases if the other person displays pleasure [36]. Additionally, verbal and nonverbal cues for communication and sharing, including negative evaluation of novel foods in meal situations, have been shown to influence food acceptance [37]. Thus, it can be inferred that the evaluation of a meal and communication cues as well as the background of the relationship among the family members or others who provide the meal act as key factors that influence the intake of novel foods. Ensuring adequate food intake and nutritional status in older adults also requires interventions that not only directly address food neophobia but also factors that may indirectly control the effects of food neophobia. In fact, Birch et al. suggested that repeated exposure to unfamiliar foods can lead to a change in familiarity, and that more frequent opportunities to do so represent a strategy to reduce the effects of food neophobia [8, 38]. In older adults with food neophobia, providing health information on novel foods may increase food preference [39]. As food intake and nonintake are affected by a complex interplay of innate human nature and individual experiences, it is necessary to understand the level of individual food neophobia to provide specific and adequate support for effective intervention methods. Apart from the acceptance of novel foods, even known foods may be perceived as unfamiliar due to differences in cooking methods and appearance, and these factors may lead to reluctance and lower motivation for consumption. In contrast, when older adults with food neophobia consume foods that they perceive as novel, the risk of malnutrition may decrease as innovative ways of providing meals become available.

Effects of oral health on nutritional status

ODK was found to be significantly associated with the risk of malnutrition, suggesting that decreased lip and tongue motor function and dexterity may reduce the ability to ingest food and swallow, consequently affecting nutritional status. It has also been shown that it is important to evaluate oral function when assessing nutritional status. Oral frailty is the process by which the accumulation of minor deterioration in oral conditions, such as teeth, oral function, and oral hygiene, associated with aging increases oral vulnerability and leads to eating dysfunction. Oral frailty is considered to be one of the precursors or accelerators of generalized frailty, and it has been reported that those who suffer from oral frailty have a 2.4-fold higher risk of developing physical frailty [40]. Oral frailty is thought to be a transition from a decline in oral function to nutritional impairment and the need for nursing care. As signs of oral frailty have been observed in individuals in their 50s, such as early symptoms of xerostomia and poor oral hygiene [41], it is necessary to start addressing oral frailty from a younger age. Importantly, prevention may be possible by encouraging the incorporation of inexpensive autonomous training into the activities of daily life [42,43,44], and it might be possible to avoid the progression from poor oral function to malnutrition by detecting signs of trivial changes related to the oral cavity and by providing appropriate intervention at an early stage.

Oral-health–related QOL was found to be significantly associated with the risk of malnutrition. Gil-Montoya et al. [45] reported an association between high oral-health–related QOL and adequate nutritional status (MNA), and our results corroborate these findings.

A decline in the masticatory and swallowing functions in older adults leads to a decline in oral health that the individual is aware of because of restrictions in the quality and quantity of food. A relationship between the decline in chewing and swallowing abilities and nutritional status has been reported [46], and it has been pointed out that xerostomia and poor oral hygiene, which are observed in older adults, can reduce gustatory effects [47]. Furthermore, it has been shown that impaired taste is closely related to appetite [48] and that anorexia leads to malnutrition [49]. Thus, complex problems in the oral cavity that individuals are aware of can lead to a poor oral-health–related QOL and affect the nutritional status.

The association between the number of teeth at present and oral-health–related QOL has been reported in many studies [50, 51], and tooth loss is generally associated with nutritional deficiencies [14]. In the present study, there was no association between the number of teeth at present and nutritional status (MNA), indicating that an objective assessment of oral health, such as the number of teeth, does not always coincide with oral health awareness. This aspect not only emphasizes the importance of determining an individual’s perceived oral health status (functional, social, and psychological aspects) when assessing nutritional status but also highlights that the use of oral-health–related QOL, along with clinical parameters, may be useful in predicting nutritional risk in the older population.

Limitations of the study and future research

The generalizability of causal relationships in nutritional status require careful evaluation and longitudinal studies for an in-depth understanding. However, we used a cross-sectional study design to easily evaluate the nutritional status of a group of older adults living in a wide area.

In addition, this study revealed no association between protein intake and nutritional status. However, considering the level of nutrient intake required for older adults, protein deficiency tends to result in malnutrition; therefore, it is necessary to consider improving the accuracy of collecting data regarding ingested foods using dietary recording and photography methods [52]. In future research, the examination of reliable survey methods should be performed while ensuring the reliability of the method targeting community-dwelling older adults.

Dietary intake is closely related to oral function, and oral-function–related QOL is believed to have a wide range of effects on direct feeding behavior as well as nutritional risk. In the future, it is necessary to consider specific methods for maintaining oral health to reduce nutritional risk. Concomitantly, it is necessary to verify the effective contents and embodiments of guidance on dietary habits and oral health based on the evaluation of food preferences, as in this study.

The proportion of older adults who are responsible for their own cooking is influenced by their level of care and age, and the transition to a diet that is dependent on others has been described [53], wherein it has been reported that those who rely on family members, food delivery services, and older adult care facilities for food preparation dislike greater number of foods and, hence, are at risk of malnutrition [54]. This indicates that the nutritional status of older adults is dependent on the relationship with the cook, and the quality of communication while serving meals has been reported to affect the nutritional quality of older adults [55]. It can be inferred that the empirical evaluation of factors related to food preferences, intake, and nutritional status of those who depend on cooking will be possible by simultaneously evaluating the relationship with the cook and various aspects of communication.

Conclusions

Our results suggest that older adults at risk of developing malnutrition have greater food neophobia and lower oral function and oral-health–related QOL. This indicates the importance of determining older adults’ perceived oral health status, predicting the risk of malnutrition based on the observation of oral signs and modest functional decline, and providing dietary guidance that considers food neophobia. Such an approach could lead to the implementation of new strategies for nutrition programs in the community and clinical settings based on a multifaceted understanding of eating in the older population.

Availability of data and materials

Datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Change history

Abbreviations

MNA:

Mini Nutritional Assessment

OHIP:

Oral health impact profile

ODK:

Oral diadochokinesis

CI:

Confidence interval

QOL:

Quality of life

References

  1. Ministry of Health, Labour and Welfare. The National Health and Nutrition Survey in Japan. 2014. https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html. Accessed 25 May 2021.

  2. Yokoyama Y, Kitamura A, Kawano Y, Shinkai S. Dietary Intake and Nutritional Status among Japanese Elderly Participants in the National Health and Nutritional Survey Japan 2003-2011. J Jpn Soc Shokuiku. 2018;12(1):33-40.

  3. Suzuki T, Shibata H. An introduction of the Tokyo Metropolitan Institute of Gerontology longitudinal interdisciplinary study on aging (TMIG–LISA, 1991–2001). Geriatr Gerontol Int. 2003;3:S1-4.

    Article  Google Scholar 

  4. Ramage-Morin PL, Gilmour H, Rotermann M. Nutritional risk, hospitalization and mortality among community-dwelling Canadians aged 65 or older. Health Rep. 2017;28:17–27.

    PubMed  Google Scholar 

  5. Cereda E, Pedrolli C, Klersy C, Bonardi C, Quarleri L, Cappello S, et al. Nutritional status in older persons according to healthcare setting: A systematic review and meta-analysis of prevalence data using MNA®. Clin Nutr. 2016;35:1282–90.

    Article  PubMed  Google Scholar 

  6. Eggersdorfer M, Akobundu U, Bailey RL, Shlisky J, Beaudreault AR, Bergeron G, et al. Hidden hunger: solutions for America’s aging populations. Nutrients. 2018;10(9):1210.

    Article  PubMed Central  CAS  Google Scholar 

  7. Kato S, Osada H. Effects of the motivation for food choice on dietary variety and intake by elderly people living in communities. JISDH. 2008;19:202–13.

    Google Scholar 

  8. Birch LL, Marlin DW. I don’t like it, never tried it: effects of exposure on two-year-old children’s food preference. Appetite. 1982;3:353–60.

    Article  CAS  PubMed  Google Scholar 

  9. Rozin P. The selection of food by rats, humans and other animals. In: Rosenblatt J, Hinde RA, Beer C, Shaw E, editors. Advances in the Study of Behavior, Volume 6. New York: Academic Press; 1976. p. 21–76.

    Google Scholar 

  10. Sinesio PS, Monteleone F, Spinelli E, Spinelli S, Cianciabella M, Daniele GM, et al. Gender, Age, geographical area, food neophobia and their relationships with the adherence to the Mediterranean diet: new insights from a large population cross-sectional study. Nutrients. 2020;12:1778.

    Article  PubMed Central  Google Scholar 

  11. Jezewska-Zychowicz M, Plichta M, Drywień ME, Hamulka J. Food neophobia among adults: differences in dietary patterns, food choice motives, and food labels reading in poles. Nutrients. 2021;13:1590.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Tuorila H, Lähteenmäki L, Pohjalainen L, Lotti L. Food neophobia among the Finns and related responses to familiar and unfamiliar foods. Food Qual Preference. 2001;12:29–37.

    Article  Google Scholar 

  13. Sarin HV, Taba N, Fischer K, Esko T, Kanerva N, Moilanen L, et al. M. Food neophobia associates with poorer dietary quality, metabolic risk factors, and increased disease outcome risk in population-based cohorts in a metabolomics study. Am J Clin Nutr. 2019;110:233–45.

    Article  PubMed  Google Scholar 

  14. Sheiham A, Steele JG, Marcenes W, Lowe C, Finch S, Bates CJ, et al. The relationship among dental status, nutrient intake, and nutritional status in older people. J Dent Res. 2001;80:408–13.

    Article  CAS  PubMed  Google Scholar 

  15. Okada K, Kashiwazaki H, Furuna T, Matsushita T, Yamada H, Kanehira T, et al. The relationship between nutritional status and oral health status in independent elderly people-part 1: a survey before intervention program for sarcopenia. Japanease J Gerodontol Ronen Shika Igaku. 2012;27:61–8.

    Google Scholar 

  16. Rosli TI, Chan YM, Kadir RA, Hamid TAA. Association between oral health-related quality of life and nutritional status among older adults in district of Kuala Pilah, Malaysia. BMC Public Health. 2019;19:547.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Amagai N, Komagamine Y, Kanazawa M, Iwaki M, Jo A, Suzuki H, et al. The effect of prosthetic rehabilitation and simple dietary counseling on food intake and oral health related quality of life among the edentulous individuals: a randomized controlled trial. J Dent. 2017;65:89–94.

    Article  PubMed  Google Scholar 

  18. Pliner P, Hobden K. Development of a scale to measure the trait of food neophobia in humans. Appetite. 1992;19:105–20.

    Article  CAS  PubMed  Google Scholar 

  19. Kumagai S, Watanabe S, Shibata H, Amano H, Fujiwara Y, Shinkai S, et al. Effects of dietary variety on declines in high-level functional capacity in elderly people living in a community. Nihon Koshu Eisei Zasshi. 2003;50:1117–24.

    PubMed  Google Scholar 

  20. Slade GD. Derivation and validation of a short-form oral health impact profile. Commun Dent Oral Epidemiol. 1997;25:284–90.

    Article  CAS  Google Scholar 

  21. Guigoz Y, Vellas B, Garry PJ. Assessing the nutritional status of the elderly; the mini nutritional assessment as part of the geriatric evaluation. Nutr Rev. 1996;54:S59-65.

    PubMed  Google Scholar 

  22. Kuzuya M, Kanda S, Koike T, Suzuki Y, Satake S, Iguchi A. Evaluation of Mini-Nutritional Assessment for Japanese frail elderly. Nutrition. 2005;21:498–503.

    Article  PubMed  Google Scholar 

  23. Vellas B, Guigoz Y, Garry PJ, Nourhashemi F, Bennahum D, Lauque S, et al. The mini nutritional assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition. 1999;15:116–22.

    Article  CAS  PubMed  Google Scholar 

  24. Ito K, Yoshihara A, Takano N, Ishigami K, Seida Y, Inoue M, et al. A comparison of methods for the measurement of oral diadochokinesis. Jpn Soc Gerodontol. 2009;24:48–54.

    Google Scholar 

  25. Kondo K, Hirai H, Takeda T, Ichida Y, Jun A. Social capital and health. Behaviormetrika. 2010;37:27–37.

    Google Scholar 

  26. Ohura T, Takeda T, Kimura D. Relation the mild cognitive impairment and health information needs for elderly women in health salon. Jpn J Occup Ther. 2015;49:861–7.

    Google Scholar 

  27. Yamanoi M, Tadaka E, Hakamada-Taguchi R. Factors related to nutritional status in the community-dwelling elderly. Jpn Acad Commun Health Nurs. 2013;16:15–22.

    Google Scholar 

  28. Hara S, Miura H, Kawanishi K, Toyoshita Y, Koshino H. The relationship between articulation and probability of aspiration in the rural community-dwelling elderly. Jpn Soc Gerodontol. 2015;30:97–102.

    Google Scholar 

  29. Hallfrisch J, Muller D, Drinkwater D, Tobin J, Andres R. Continuing diet trends in men: the Baltimore Longitudinal Study of Aging (1961–1987). J Gerontol. 1990;45:M186-91.

    Article  PubMed  Google Scholar 

  30. Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998;147:755–63.

    Article  CAS  PubMed  Google Scholar 

  31. Capiola A, Raudenbush B. The effects of food neophobia and food neophilia on diet and metabolic processing. Food Nutr Sci. 2012;03:1397–403.

    Google Scholar 

  32. Bartali B, Frongillo EA, Bandinelli S, Lauretani F, Semba RD, Fried LP, et al. Low nutrient intake is an essential component of frailty in older persons. J Gerontol A Biol Sci Med Sci. 2006;61:589–93.

    Article  PubMed  Google Scholar 

  33. Cooke LJ, Haworth CM, Wardle J. Genetic and environmental influences on children’s food neophobia. Am J Clin Nutr. 2007;86:428–33.

    Article  CAS  PubMed  Google Scholar 

  34. Knaapila A, Tuorila H, Silventoinen K, Keskitalo K, Kallela M, Wessman M, et al. Food neophobia shows heritable variation in humans. Physiol Behav. 2007;91:573–8.

    Article  CAS  PubMed  Google Scholar 

  35. Yodogawa T, Tokunaga J, Marutani M, Hatano H. Effects of food neophobia and dietary communication in mother and child on vegetable intake. Jpn J Health Hum Ecol. 2016;82:183–202.

    Article  Google Scholar 

  36. Rousset S, Schlich P, Chatonnier A, Barthomeuf L, Droit-Volet S. Is the desire to eat familiar and unfamiliar meat products influenced by the emotions expressed on eaters’ faces? Appetite. 2008;50:110–19.

    Article  CAS  PubMed  Google Scholar 

  37. Kimura A, Tokunaga H, Sasaki H, Shuzo M, Mukawa N, Wada Y. Effect of co-eating on unfamiliar food intake among Japanese young adults. Food Qual Preference. 2021;89:104135.

    Article  Google Scholar 

  38. Tuorila H, Meiselman HL, Bell R, Cardello AV, Johnson W. Role of sensory and cognitive information in the enhancement of certainty and liking for novel and familiar foods. Appetite. 1994;23:231–46.

    Article  CAS  PubMed  Google Scholar 

  39. Romaniw OC, Rajpal R, Duncan AM, Keller HH, Duizer LM. Nutrition in disguise: effects of food neophobia, healthy eating interests and provision of health information on liking and perceptions of nutrient-dense foods in older adults. Foods. 2020;10:1–15.

    Article  Google Scholar 

  40. Tanaka T, Takahashi K, Hirano H, Kikutani T, Watanabe Y, Ohara Y, et al. Oral frailty as a risk factor for physical frailty and mortality in community-dwelling elderly. J Gerontol A Biol Sci Med Sci. 2018;73:1661–7.

    Article  PubMed  Google Scholar 

  41. Ohta M, Ueda T, Kobayashi K, Sakurai K. Prevalence of oral hypofunction in patients of a dental clinic. Jpn Soc Gerodontol. 2018;33:79–84.

    Google Scholar 

  42. Nakazawa M, Mori H, Handa J, Sato T, Kozima T, Ooki S, et al. Simple training for maintaining and improving chewing ability. Jpn Soc Gerodontol. 2018;33:63–9.

    Google Scholar 

  43. Morino T, Tobata H, Mizoguchi N. Verification of the effects of training healthy people with candy on oral function improvement. Jpn Soc Gerodontol. 2018;33:366–72. https://doi.org/10.11259/jsg.33.366.

    Google Scholar 

  44. Ooka T, Haino T, Hironaka S, Muka Y. The effect of daily oral function training in the elderly. J Dent Hlth. 2008;58:88–94.

    Google Scholar 

  45. Gil-Montoya JA, Ponce G, Sánchez Lara IL, Barrios R, Llodra JC, Bravo M. Association of the oral health impact profile with malnutrition risk in Spanish elders. Arch Gerontol Geriatr. 2013;57:398–402.

    Article  CAS  PubMed  Google Scholar 

  46. Iwasaki M, Motokawa K, Watanabe Y, Shirobe M, Ohara Y, Edahiro A, et al. Oral hypofunction and malnutrition among community-dwelling older adults: evidence from the Otassha study. Gerodontology. 2021. https://doi.org/10.1111/ger.12580.

    Article  PubMed  Google Scholar 

  47. Solemdal K, Sandvik L, Willumsen T, Mowe M, Hummel T. The impact of oral health on taste ability in acutely hospitalized elderly. PLoS One. 2012;7:e36557.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Satoh S, Kaneda N, Sakai A, Kaneta T, Endo Y, Kumasaka A, et al. Effects of taste abnormalities on food intake, appetite and physical condition in the elderly-relationship with oral diseases. Oral Med. 2013;26:280–8.

    Google Scholar 

  49. Mowé M, Bøhmer T. Reduced appetite. A predictor for undernutrition in aged people. J Nutr Health Aging. 2002;6:81–3.

    PubMed  Google Scholar 

  50. Gerritsen AE, Allen PF, Witter DJ, Bronkhorst EM, Creugers NH. Tooth loss and oral health-related quality of life: a systematic review and meta-analysis. Health Qual Life Outcomes. 2010;8:126.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Dahl KE, Wang NJ, Skau I, Ohrn K. Oral health-related quality of life and associated factors in Norwegian adults. Acta Odontol Scand. 2011;69:208–14.

    Article  PubMed  Google Scholar 

  52. Shiraki M, Kitagawa C, Takeshita T, Yamase T. The nutritional effect of the food delivery service in elderly persons living at home. J Natl Inst Public Health. 2008;57:49–56.

    Google Scholar 

  53. Satoh K. Study on dietary habits by age group among elderly persons. J Integr Study Diet Habits. 2000;11:241–50.

    Article  Google Scholar 

  54. Maitre I, Van Wymelbeke V, Amand M, Vigneau E, Issanchou S, Sulmont-Rossé C. Food pickiness in the elderly: relationship with dependency and malnutrition. Food Qual Preference. 2014;32:145–51.

    Article  Google Scholar 

  55. Dubé L, Paquet C, Ma Z, McKenzie DS, Kergoat MJ, Ferland G. Nutritional implications of patient–provider interactions in hospital settings: evidence from a within-subject assessment of mealtime exchanges and food intake in elderly patients. Eur J Clin Nutr. 2007;61:664–72.

    Article  PubMed  Google Scholar 

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Acknowledgements

We are grateful to everyone at the Nagasu Town Health Center, the local residents, and Chihoko Tanaka who cooperated in this research.

Funding

No funding was obtained specifically for this study.

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Authors

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TY contributed to the entire study process, including conception, data collection, analysis, interpretation, and manuscript preparation. YN, JT, MM, and HH assisted with data collection, analysis, and interpretation; provided suggestions regarding the manuscript; and supported the entire study process. All authors read and approved the final manuscript.

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Correspondence to Takako Yodogawa.

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This study was approved by the ethical review board of the Kagoshima University Faculty of Medicine (approval number 292). Informed consent was obtained from all the respondents who participated in this study. All phases of the study were conducted in accordance with the ethical principles stated in the Declaration of Helsinki.

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The authors declare that they have no competing interests.

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Yodogawa, T., Nerome, Y., Tokunaga, J. et al. Effects of food neophobia and oral health on the nutritional status of community-dwelling older adults. BMC Geriatr 22, 334 (2022). https://doi.org/10.1186/s12877-022-03013-7

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