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BRIEF RESEARCH REPORT article

Front. Dement., 03 October 2024
Sec. Aging and Risk Factors for Dementia
This article is part of the Research Topic Lifestyle and Healthy Aging to Prevent Cognitive Decline and Dementia View all 19 articles

The COM-B model: a cross-sectional survey assessing capability, opportunities, and motivation to follow the MIND diet among informal female caregivers of people with Alzheimer's disease and related dementias

  • 1Cancer Center, Medical College of Wisconsin, Milwaukee, WI, United States
  • 2Department of Health and Kinesiology, University of Illinois Urbana-Champaign, Champaign, IL, United States

Introduction: Caring for a person with Alzheimer's disease or dementia has been correlated with poor dietary patterns in caregivers. Dietary patterns like The Mediterranean-DASH diet intervention for neurodegenerative delay (MIND) diet have the potential to reduce the negative health outcomes associated with caregiving. Our objective was to assess capabilities, opportunities, and motivation of caregivers to follow the MIND diet using the COM-B model approach.

Method: Female caregivers (n = 299, mage = 37.7 ± 13.7) participated in an online survey. Majority were White (72%) and cared for someone with Alzheimer's disease (42.6%). The survey included at least one question for each of the 6 COM-B subcomponents: psychological capability, physical capability, social opportunity, physical opportunity, reflective motivation, and automatic motivation.

Results: Most caregivers were not consuming the MIND diet as only 8.4% reported normally eating the MIND diet items. Caregivers (36.5%) were slightly confident or not confident at all in cooking and eating the MIND diet. Participants (67.1%) reported that consuming the MIND diet would somewhat to very much be supported by friends and family. Budget, time, and transportation were selected as the main barriers. Budget, cooking skills, access to food and stores, and family support were the main facilitators.

Discussion: Strategies to increase capability, opportunities, and motivation for the MIND diet are needed to improve caregivers' health. Future MIND diet interventions should improve budget planning and cooking skills of caregivers (capabilities), make MIND diet food items accessible to them (opportunity) and incorporate social support from family and friends (motivation).

Introduction

Millions of Americans provide care for an older adult including providing care for family members or friends with Alzheimer's disease and related dementias (ADRD; Alzheimer's Association, 2023). Specifically, over 11 million women in the U.S either live with or care for someone with ADRD (Alzheimer's Association, 2023). Compared to any other caregivers, caregivers of people with ADRD experience more challenging, more intense, and longer-term caregiving situations (Alzheimer's Association, 2023; Kapoor et al., 2020; Ory et al., 1999). According to the Alzheimer's Association, on average, caregivers of people with ADRD provide more care hours than non-ADRD caregivers because people with ADRD require higher levels of care related to activities of daily living and instrumental activities of daily living and exhibit more behavioral problems (Alzheimer's Association, 2023). Often, caregivers forgo their own health for those they care for. Caregivers of people with ADRD experience higher levels of stress and depression compared to other caregivers (Watson et al., 2019). They also have higher prevalence of chronic conditions including hypertension, arthritis, and heart disease (Wang et al., 2014). Additionally, they have been shown to have stress-related cognitive dysfunction (Allen et al., 2017; Correa et al., 2016; Oken et al., 2011), increased risk for anxiety (Watson et al., 2019), poor sleep quality (Gao et al., 2019; Cupidi et al., 2012), poorer quality of life (Andreakou et al., 2016), and poorer health behaviors (Vitaliano et al., 2003).

Poor health behaviors include poor dietary patterns that can further negatively impact health. About 15% of caregivers report eating no more than two meals per day (Rabinowitz et al., 2007), and othersreport eating unhealthy foods including fast food due to the lack of time or as a coping mechanism (Wang et al., 2019). In a study by Rullier et al. (2013) it was found that 32.1% of family caregivers of people with ADRD were at risk of malnutrition and 5.4% of the caregivers were malnourished. Dietary patterns like the Mediterranean-DASH diet intervention for neurodegenerative delay (MIND) diet have the potential to reduce negative health outcomes associated with caregiving, unfortunately this has not been explored in caregivers of people with ADRD.

The MIND diet is a dietary pattern that is tailored for neuroprotection including the most compelling evidence in the diet-dementia research. It is a combination of the Mediterranean diet and the Dietary Approaches to Stop Hypertension (DASH) diet. The MIND diet consists of 10 brain healthy food groups (green leafy vegetables, other vegetables, nuts, berries, beans, whole grains, fish, poultry, olive oil, and wine [1 glass/d]) (Morris et al., 2015). For safety, the wine recommendation was removed in the MIND diet trial (Liu et al., 2021). The MIND diet also recommends limited intake of 5 food groups (high saturated fat or sugar intakes, such as red meat and meat products, butter, whole fat cheese, pastries and sweets and fried and fast foods) (Morris et al., 2015). Following the MIND diet might help caregivers alleviate some of the negative effects of caregiving. Previous studies in non-caregivers have shown association between the MIND diet and fewer depressive symptoms (Cherian et al., 2021), reduced risk of cognitive impairment (Morris et al., 2015) and improved sleep (Campanini et al., 2017; Castro-Diehl et al., 2018; Godos et al., 2019; Mamalaki et al., 2018; Zuraikat et al., 2020).

Few studies have explored barriers and facilitators of adopting healthy dietary patterns like the MIND diet including the Mediterranean and the DASH diets. For instance, a systematic review by Tsofliou et al. (2022) examined barriers and facilitators to the Mediterranean diet in both Mediterranean and non-Mediterranean countries. They found that barriers included lack of knowledge or misconceptions about the diet, cultural preferences and traditions, busy lifestyles, and limited availability of Mediterranean diet components in local stores. This latter issue was specifically noted in studies from non-Mediterranean countries like the U.S., U.K., Australia, and Netherlands (Tsofliou et al., 2022). Additionally, the high cost of food like fresh fruits, vegetables, and fish was identified as a barrier (Tsofliou et al., 2022). Cost can be a significant barrier especially for people living in impoverished areas where there might already be limited food choices. A study assessing cost of Spanish graduate students to follow the Mediterranean diet or Western diet, a diet high in trans fats and refined sugars, found that the Mediterranean diet was more expensive (Lopez et al., 2009). Economic constraints can lead to consumption of less healthy diets. Similarly, barriers to the DASH diet include cost, poor cooking skills, and lack of support from household members (Tyson et al., 2023). In a study including low-income Latinos and African Americans with type 2 diabetes, participants reported lack of nutrition education was an impediment to make informed dietary choices and following a healthy diet (Bross et al., 2022). This indicates that people may not follow these diets not due to lack of will, but because they lack access, and the necessary tools and skills.

Furthermore, facilitators to the Mediterranean and DASH diets include increased awareness of the benefits of the diet, social support from family and friends, and integration of the diet items into traditional meals (Tsofliou et al., 2022). Family and friends can be crucial support as they can motivate people to continue to make better dietary choices (Ferranti et al., 2013; Laiou et al., 2020). Also, encouraging people to incorporate healthier items to their traditional meals might be easier than to encourage people to adopt a new dietary pattern (Tsofliou et al., 2022). Other facilitators to adopt healthy dietary patterns include having access to healthy foods, living alone or with supportive household member and having willpower and motivation for change (Tyson et al., 2023). Understanding individual and external factors that influence behaviors change is key when promoting the adoption of dietary patterns like the MIND diet.

The Capability, Opportunity, Motivation-Behavior (COM-B) model is at the core of an overarching framework called the Behavior Change Wheel, which is a three-stage approach to designing a behavior change intervention (Michie et al., 2011). The COM-B model states that behavior change involves modifying one or more of its components: capability, opportunity, and motivation (Michie et al., 2011). The model components are further divided which results in 6 total subcomponents: psychological capability, physical capability, physical opportunity, social opportunity, reflective motivation, and automatic motivation (Michie et al., 2011). These subcomponents were defined by Michie et al. (2011) as:

Capability is a person's psychological and physical ability to engage in a specific behavior. Psychological ability relates to the thought process of engaging in a specific behavior for example knowledge and understanding. It can also be physical, for example, having the physical skills, strength, or stamina to perform the behavior.

Opportunity reflects outside factors that make a behavior possible. Physical opportunity relates to environmental influences for a particular behavior and social opportunities relate to cultural factors influencing behavior.

Motivation is a brain process that influences and directs behavior. Reflective motivation relates to evaluation, planning, and goals. Automatic motivation relates to emotions and impulses that arise from learning or innately.

The COM-B model has been used before to explore barriers and facilitators to physical activity in obese pregnant women (Bentley et al., 2019) and to explore barriers and facilitators to the adoption of the MIND diet in 40–50 year old men and women living in Northern Ireland and Italy (Timlin et al., 2021). There have not been studies assessing the relationship between the MIND diet and caregivers' health, but the MIND diet has the potential to improve caregivers' physical and psychological health. The aim of this study was to assess capability, opportunities, and motivation of informal female caregivers of people with ADRD to follow the MIND diet using the COM-B approach.

Materials and methods

The iCARE study was a cross-sectional online survey study on informal female caregivers of people with ADRD.

Eligibility criteria to participate in iCARE included (1) identifying as women of at least 18 years of age; (2) providing at least 10 h of unpaid care per week to a family member or friend living in the community with ADRD.

Participants for the iCARE study were recruited using the Cloud Research Prime Panels online platform. Cloud research is an online platform where people across the U.S. register to participate in online survey research. Demographics of respondents in Cloud Research are diverse and comparable to U.S. adult population in terms of gender, age, race, ethnicity, and Census region (Chandler et al., 2019). Therefore, this type of online convenience sample can yield generalizable findings. Information about the present study was sent to potential participants living in the U.S through Cloud Research. Study information and survey was available in English and Spanish; however, all participants completed the survey in English. First, women were presented with the study title and identifying words for the study. After receiving the initial recruitment notification, interested individuals selected the study link which presented them with more information about the study and inclusion criteria. Those who decided to participate were then presented with the informed consent which they signed electronically before beginning the survey. This study was approved by the University of Illinois at Urbana-Champaign Institutional Review Board and informed consent was obtained from all participants.

The analytical sample of the present study included 299 caregivers (Table 1). Initially, 1,137 potential participants responded the inclusion criteria questions. Of those, 489 respondents did not meet the inclusion criteria. Respondents who met the inclusion criteria, 648, proceeded to read the study consent form and 459 participants provided electronic consent. Data from 78 participants was removed because the age of the care recipient was < 30. According to the National Institute on Aging, although rare, early-onset Alzheimer's can begin as early as 30 years of age. Data from other 82 participants was removed because they had a rate of completion of < 80% of the survey.

Table 1
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Table 1. Caregiver's characteristics.

Information about caregivers' age, height, weight, education, income, race, and ethnicity was collected. Care recipient's demographic information was also collected including sex, age, and relationship to caregiver. Caregivers were asked to report on the care recipient's ADRD diagnosis by selecting from a list of possible diagnosis (Table 2).

Table 2
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Table 2. Care recipient's characteristics.

Constructs of the COM-B model were assessed using a modified interview/focus group guide from Timlin et al. (2021) (see Supplementary material). Participants were asked the same questions as in the study of Timlin et al. (2021), but answers were presented in Likert scales and multiple choice. Participants received a short paragraph of information introducing them to the MIND diet and the MIND diet items before answering questions regarding the MIND diet. The questionnaire included at least one question for each of the 6 COM-B subcomponents: psychological capability, physical capability, social opportunity, physical opportunity, reflective motivation, and automatic motivation. Questions explored whether eating the MIND diet items was something participants were normally doing (e.g., 0 = never, 4 = always), confidence in cooking/eating the MIND diet (e.g., 0 = not confident at all, 4 = very confident), extent to which family would encourage/discourage the MIND diet (0 = not at all, 4 = very much), barriers, and facilitators to consume the MIND diet, and feelings about the MIND diet. When assessing barriers and facilitators participants were provided with a list and asked to select all the barriers and facilitators that applied to them. This list included: (1) access to food and stores, (2) transportation, (3) season, (4) budget or money, (5) time, (6) cooking skills, (7) culture, (8) family, (9) caregiving, and (10) friends. They were also given the option to add other barriers and facilitators. The list was created based on MIND diet barriers and facilitators reported by Timlin et al. Caregiving was added to the list as this relates specifically to the current sample.

Analysis

Descriptive statistics were calculated for demographic data, including means and standard deviations for continuous variables and frequencies for categorical variables. Frequencies and percentages were computed to report survey questions results. All statistical analyses were performed with SPSS software, version 29.

Data from participants responding at the extremes as “Never” and “Always” to the questions, “To what extent is eating MIND diet, foods something you normally do? Do you eat MIND diet foods each day?” was assessed (n = 97) for differences between those who responded “rarely,” “sometimes,” and “often.” There were no statistically significant differences regarding age, education, and income for those who reported “never” and “always” and those responding “rarely,” “sometimes,” and “often” (ps > 0.05).

Results

Caregivers' and care recipients' characteristics are detailed in Tables 1, 2. Briefly, participants were 299 female caregivers of people with ADRD who were on average 37.7 ± 13.7 years old (18–78 years old), White (72%), 58.5% with overweight or obesity, and had an annual household income < $35,000 dollars (50.2%). They provided care for a female (74.2%), on average 68.7 ± 15.0 years old (30–102 years old), and with Alzheimer's disease (42.6%).

Capability and motivation

When asked about whether eating MIND diet foods is something they normally do, 8.4% of participants reported it was something they always do, 95% CI (0.05, 0.12) and 24.1% reported never eating MIND diet foods, 95% CI (0.19, 0.29). Only 11.4% of participants reported that friends and family will not at all support eating the MIND diet, 95% CI (0.08, 0.15). Whereas 67.1% of them reported that consuming the MIND diet would somewhat to very much be supported by friends and family, 95% CI (0.62, 0.72). Thirty-six percent of the participants also reported they were slightly confident or not at all confident to be able to eat or cook MIND diet items, 95% CI (0.31, 0.42). Fifty-seven percent of participants felt somewhat good or extremely good about eating the MIND diet, 95% CI (0.52, 0.63).

Opportunity

In relation to friends and family, 56.9% of participants responded that their family or friends would somewhat to very much encourage them to eat MIND diet foods, 95% CI (0.52, 0.63) and 4.7% of participants responded that their family or friends would very much discourage them from eating the MIND diet, 95% CI (0.02, 0.07). The three most common barriers to the MIND diet were budget (28.0%), time (12.3%), and transportation (11.0%). The three most common facilitators to the MIND diet were budget (23.5%), cooking skills (12.3%) and access to food and stores (11.2%) or family support (11.2%; Figure 1).

Figure 1
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Figure 1. Barriers and facilitators to consuming the MIND diet.

Discussion

The purpose of the present study was to assess capability, opportunities, and motivation of informal female caregivers of people with ADRD to follow the MIND diet using the COM-B approach. The study showed caregivers of people with ADRD have the motivation to consume the MIND diet as 57% of the sample felt somewhat good or extremely good about the MIND diet. Interventions that promote the MIND diet might be well received by this population. However, the results also showed that caregivers are not consuming the MIND diet. Less than 10 percent of the sample reported eating the MIND diet items regularly and about a quarter of the sample reported never eating the MIND diet items. These results are consistent with the typical American diet. According to the report for the 2020–2025 dietary guidelines for Americans, the typical American diet is too high in calories, contains added sugars saturated fats, and sodium (USDA and USDHHS, 2020). Americans also have low intake of vegetables, fruits, dairy, and whole grains, and the most consumed protein foods include beef, chicken, pork, processed meats, and eggs (USDA and USDHHS, 2020). Similar results have been reported in a study by Wang et al. (2019) where caregivers reported lack of healthy eating and constantly eating fast foods, sweets, and meat.

A third of the sample of caregivers in this study also reported low confidence or no confidence at all in eating or cooking the MIND diet items. Since eating some of the MIND diet items is not something they regularly do, caregivers might not feel confident in cooking these items. Health literacy and nutrition knowledge has the potential to influence nutrition patterns. The use of food labels has been positively associated with nutrition knowledge, vegetable consumption, and less sugar sweetened soda intake (Persoskie et al., 2017). In a community-based nutrition education program for adult men and women, there was a significant increase in fruit and vegetable consumption and decrease in fat intake after participating in a Full Plate Diet intervention (Downes et al., 2019). This intervention included a nutrition program to increase awareness of the consumption of nutrient-dense foods and high-fiber foods to increase satiety and reduce calorie intake for weight loss and thereby improve health. In another study, an intervention for caregivers to improve diet of people with dementia showed that increased nutritional knowledge for dementia significantly improved caregivers' healthy eating behavior (Hsiao et al., 2020).

The majority of the caregivers responded that their family and friends would encourage them to follow the MIND diet, and that they would not be discouraged by family or friends to consume the MIND diet items. Social support from family and friends to adopt new diets is important as eating can be a social activity and dietary practices can provide a sense of belonging to a certain group (Hendricks et al., 1988). In a previous study by Timlin et al. (2021) on barriers and facilitators to uptake the MIND diet, family support was reported as a barrier. In the present study family was cited as one of the top three facilitators to follow the MIND diet. Social networks have been positively associated with healthy eating and better diet quality in women (Mötteli et al., 2017; Shand et al., 2021) and for caregivers it can be a source of motivation.

Caregivers in this study reported budget as both a barrier and facilitator to the MIND diet. Several environmental factors influence nutrition including socio-economic status, access to healthful foods, and food security. According to a study by Jutkowitz et al. (2017), the total lifetime cost of care for a person with ADRD from diagnosis, at a mean age of 83, is $373,527 (2020 dollars). Families contribute about 70% of that amount in the form of unpaid care, medication, food, and other expenses (Jutkowitz et al., 2017). This has a great impact on the finances of caregivers as it is estimated that 41% of caregivers have a household income of $50,000 or less (Alzheimer's Association, 2023). In this study, half of the participants had an annual household income of < $35,000. Studies have shown that healthful foods cost more than less healthy options (Drewnowski, 2010; Wilde and Llobrera, 2009). Lower socio-economic status has also been associated with energy-dense, nutrient-poor diets, which contributes to poorer health (Darmon and Drewnowski, 2008). Food apartheid, referred to as the systemic and intentional inequities in food access and quality that disproportionately affect marginalized populations, contribute to food insecurity. In many minoritized neighborhoods across the U.S., there is a lack of grocery stores and finding healthy foods can be expensive and difficult (Grigsby-Toussaint et al., 2010). The combination of the economic cost of caregiving and low socio-economic status puts caregivers at higher risk of poor nutrition and health.

Caregivers also listed time as a major barrier to the MIND diet which is consistent with the barriers in the healthy eating literature (DiSantis et al., 2016; Welch et al., 2009; Yeh et al., 2008). In a study exploring fruit and vegetable consumption among a diverse multi-ethnic population in the U.S. perceived lack of time due to long working hours (Yeh et al., 2008). Furthermore, long time spent cooking has also been cited as a barrier to consuming a healthier diet (Yeh et al., 2008). Informal ADRD caregivers provided ~18 billion hours of unpaid care in 2022 (Alzheimer's Association, 2023). This is an average of 30 h per week based on average state minimum wage and average cost of a home health aide (Alzheimer's Association, 2023). Caregivers experiencing significant caregiving strain and those providing extensive care might have less time to prepare meals, leading them to choose unhealthy options like fast food (Wang et al., 2019). Based on the results from this study, caregivers have social opportunities to engage in the MIND diet as they report they would have support from family and friends to eat MIND diet items, but they lack physical opportunities including budget and time.

This study has some limitations. First, we did not collect information on dietary intake of caregivers. Therefore, we do not know whether caregivers were consuming the MIND diet items. Information from a food frequency questionnaire or a food diary is needed to understand which MIND diet items caregivers are already consuming, and which items need intervention. Second, the survey nature of the study did not allow for further elaboration on participant answers. For example, we were not able to assess if caregivers did not feel confident in eating and cooking the MIND diet items because of lack of access to the foods, their cooking skills, or other reasons. Future studies are needed to understand current MIND diet patterns of caregivers of people with ADRD. Another limitation is that our sample included only female caregivers. Data from the Alzheimer's Association shows one third of ADRD caregivers are men (Alzheimer's Association, 2023). Therefore, our findings may not be generalizable to male caregivers. Additionally, participants were recruited from an online platform only, therefore, this sample may not be representative of all caregivers. Future studies may consider including both male and female caregivers within online platforms and beyond to examine the MIND diet. Our study also had several strengths, including focusing on a population that is understudied. In nutrition-dementia research, the focus is often the person with ADRD, and few studies have included caregivers (Rabinowitz et al., 2007; Rullier et al., 2013, 2014; Torres et al., 2010; Wang et al., 2019). Nutrition and dietary patterns of the caregivers is an important issue as caregivers' nutrition can influence the health outcomes of the person with ADRD (Rullier et al., 2013, 2014). Another strength is that the study investigated a dietary pattern that has not been explored among caregivers. The MIND diet has the potential to benefit the physical and psychological health of caregivers.

MIND diet interventions for female caregivers of people with ADRD are needed. Components of social support should be incorporated in these interventions especially from family and friends (motivation) to aid in the adoption of new dietary patterns. There should also be a focus on budget planning and improving cooking skills (capability), as well as making MIND diet food items accessible (opportunity) to ADRD caregivers. Understanding how to increase capability, opportunities, and motivation for the MIND diet is needed to improve caregivers' health.

Implications for public health

The findings in this study highlight significant public health implications. Caregivers face multiple challenges that negatively impact their health including poor dietary patterns. The MIND diet has the potential to improve caregiving-related health problems including depressive symptoms, stress related cognitive dysfunction, and poor sleep. Caregivers in this study reported they have the motivation to follow the MIND diet, however, they also report low consumption of MIND diet items. Public health initiatives should focus on increasing knowledge and skills related to healthy eating. Educational programs can provide strategies for making small changes and incorporating more MIND diet items into their diets as it has been shown that even adhering moderately to the MIND diet offers health benefits (Morris et al., 2015). Caregivers also reported budget and access to food/stores as a barrier to consuming the MIND diet. Public health policies must aim to increase accessibility to affordable, healthy food options, particularly for those in low-income and rural areas. Strategies can include providing subsidized access MIND diet foods, as well as partnerships with local businesses to ensure that items are available and affordable. Caring for a person with ADRD can have a great impact on the finances of caregivers. They contribute not only with unpaid care but also in other expenses like paying for housing, medication, and food. The combination of the economic cost of caregiving and low socio-economic status puts caregivers at higher risk of poor nutrition and health. Improving the health of caregivers through diet has the potential to improve the quality of life for both caregivers and the person they care for.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by University of Illinois Urbana Champaign Institutional Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

JG: Writing – review & editing, Writing – original draft, Methodology, Investigation, Formal analysis, Conceptualization. SA: Writing – review & editing, Supervision, Methodology, Conceptualization.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Jacqueline Guzman was supported by the T32 Biobehavioral Oncology Training Program funded by the National Cancer Institute (5T32CA269115-02; PIs: Melinda Stolley and Jennifer Knight).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/frdem.2024.1451310/full#supplementary-material

References

Allen, A. P., Curran, E. A., Duggan, A., Cryan, J. F., Chorcoráin, A. N., Dinan, T. G., et al. (2017). A systematic review of the psychobiological burden of informal caregiving for patients with dementia: focus on cognitive and biological markers of chronic stress. Neurosci. Biobehav. Rev. 73, 123–164. doi: 10.1016/j.neubiorev.2016.12.006

PubMed Abstract | Crossref Full Text | Google Scholar

Alzheimer's Association (2023). 2023 Alzheimer's disease facts and figures. Alzheimers Dement. 19, 1598–1695. doi: 10.1002/alz.13016

PubMed Abstract | Crossref Full Text | Google Scholar

Andreakou, M. I., Papadopoulos, A. A., Panagiotakos, D. B., and Niakas, D. (2016). Assessment of health-related quality of life for caregivers of Alzheimer's disease patients. Int. J. Alzheimers Dis. 2016:9213968. doi: 10.1155/2016/9213968

PubMed Abstract | Crossref Full Text | Google Scholar

Bentley, M. R., Mitchell, N., Sutton, L., and Backhouse, S. H. (2019). Sports nutritionists' perspectives on enablers and barriers to nutritional adherence in high performance sport: a qualitative analysis informed by the COM-B model and theoretical domains framework. J. Sports Sci. 37, 2075–2085. doi: 10.1080/02640414.2019.1620989

PubMed Abstract | Crossref Full Text | Google Scholar

Bross, R., Genter, P., Lu, Y., Serpas, L., Campa, D., Ipp, E., et al. (2022). Barriers to healthy eating and diabetes diet education: divergent perspectives of patients and their providers. Health Educ. Behav. 49, 658–66. doi: 10.1177/10901981211052241

PubMed Abstract | Crossref Full Text | Google Scholar

Campanini, M. Z., Guallar-Castillón, P., Rodríguez-Artalejo, F., and Lopez-Garcia, E. (2017). Mediterranean diet and changes in sleep duration and indicators of sleep quality in older adults. Sleep 40:zsw083. doi: 10.1093/sleep/zsw083

PubMed Abstract | Crossref Full Text | Google Scholar

Castro-Diehl, C., Wood, A. C., Redline, S., Reid, M., Johnson, D. A., Maras, J. E., et al. (2018). Mediterranean diet pattern and sleep duration and insomnia symptoms in the multi-ethnic study of atherosclerosis. Sleep 41:zsy158. doi: 10.1093/sleep/zsy158

PubMed Abstract | Crossref Full Text | Google Scholar

Chandler, J., Rosenzweig, C., Moss, A. J., Robinson, J., and Litman, L. (2019). Online panels in social science research: expanding sampling methods beyond mechanical turk. Behav. Res. Methods 51, 2022–2038. doi: 10.3758/s13428-019-01273-7

PubMed Abstract | Crossref Full Text | Google Scholar

Cherian, L., Wang, Y., Holland, T., Agarwal, P., Aggarwal, N., Morris, M. C., et al. (2021). DASH and mediterranean-dash intervention for neurodegenerative delay (MIND) diets are associated with fewer depressive symptoms over time. J. Gerontol. A 76, 151–156. doi: 10.1093/gerona/glaa044

PubMed Abstract | Crossref Full Text | Google Scholar

Correa, M. S., Giacobbo, B. L., Vedovelli, K., Borba De Lima, D., Ferrari, P., De Lima Argimon, I., et al. (2016). Age effects on cognitive and physiological parameters in familial caregivers of Alzheimer's disease patients. PLoS ONE 11:e0162619. doi: 10.1371/journal.pone.0162619

PubMed Abstract | Crossref Full Text | Google Scholar

Cupidi, C., Realmuto, S., Coco, G. L., Cinturino, A., Talamanca, S., Arnao, V., et al. (2012). Sleep quality in caregivers of patients with Alzheimer's disease and parkinson's disease and its relationship to quality of life. Int. Psychogeriatr. 24, 1827–1835. doi: 10.1017/S1041610212001032

PubMed Abstract | Crossref Full Text | Google Scholar

Darmon, N., and Drewnowski, A. (2008). Does social class predict diet quality? Am. J. Clin. Nutr. 87, 1107–1117. doi: 10.1093/ajcn/87.5.1107

PubMed Abstract | Crossref Full Text | Google Scholar

DiSantis, K. I., Hillier, A., Holaday, R., and Kumanyika, S. (2016). Why do you shop there? A mixed methods study mapping household food shopping patterns onto weekly routines of black women. Int. J. Behav. Nutr. Phys. Act. 13:11. doi: 10.1186/s12966-016-0333-6

PubMed Abstract | Crossref Full Text | Google Scholar

Downes, L. S., Buchholz, S. W., Bruster, B., Girimurugan, S. B., Fogg, L. F., Frock, M. S., et al. (2019). Delivery of a community-based nutrition education program for minority adults. J. Am. Assoc. Nurse Pract. 31, 269–277. doi: 10.1097/JXX.0000000000000144

PubMed Abstract | Crossref Full Text | Google Scholar

Drewnowski, A. (2010). The cost of US foods as related to their nutritive value. Am. J. Clin. Nutr. 92, 1181–1188. doi: 10.3945/ajcn.2010.29300

PubMed Abstract | Crossref Full Text | Google Scholar

Ferranti, E. P., Dunbar, S. B., Higgins, M., Dai, J., Ziegler, T. R., Frediani, J. K., et al. (2013). Psychosocial factors associated with diet quality in a working adult population. Res. Nurs. Health 36, 242–256. doi: 10.1002/nur.21532

PubMed Abstract | Crossref Full Text | Google Scholar

Gao, C., Chapagain, N. Y., and Scullin, M. K. (2019). Sleep duration and sleep quality in caregivers of patients with dementia: a systematic review and meta-analysis. JAMA Netw. Open 2:e199891. doi: 10.1001/jamanetworkopen.2019.9891

PubMed Abstract | Crossref Full Text | Google Scholar

Godos, J., Ferri, R., Caraci, F., Cosentino, F. I. I., Castellano, S., Galvano, F., et al. (2019). Adherence to the mediterranean diet is associated with better sleep quality in Italian adults. Nutrients 11:976. doi: 10.3390/nu11050976

PubMed Abstract | Crossref Full Text | Google Scholar

Grigsby-Toussaint, D. S., Zenk, S. N., Odoms-Young, A., Ruggiero, L., and Moise, I. (2010). Availability of commonly consumed and culturally specific fruits and vegetables in African-american and Latino neighborhoods. J. Am. Diet. Assoc. 110, 746–752. doi: 10.1016/j.jada.2010.02.008

PubMed Abstract | Crossref Full Text | Google Scholar

Hendricks, J., Calasanti, T. M., and Turner, H. B. (1988). Foodways of the elderly: social research considerations. Am. Behav. Sci. 32, 61–83. doi: 10.1177/0002764288032001007

Crossref Full Text | Google Scholar

Hsiao, H.-T., Chang, C.-C., Chen, N.-C., Chiu, H.-C., Huang, C.-W., Lee, F.-P., et al. (2020). Effects of a dementia dietary educational program on nutritional knowledge and healthy eating behavior of family caregivers. Educ. Gerontol. 46, 270–283. doi: 10.1080/03601277.2020.1744234

PubMed Abstract | Crossref Full Text | Google Scholar

Jutkowitz, E., Kane, R. L., Gaugler, J. E., MacLehose, R. F., Dowd, B., Kuntz, K. M., et al. (2017). Societal and family lifetime cost of dementia: implications for policy. J. Am. Geriatr. Soc. 65, 2169–2175. doi: 10.1111/jgs.15043

PubMed Abstract | Crossref Full Text | Google Scholar

Kapoor, A., Manoharan, S., Streim, J., and Mavandadi, S. (2020). Caregiver-related factors associated with the desire to institutionalize care recipients with dementia. Am. J. Geriatr. Psychiatry 28, S86–S87. doi: 10.1016/j.jagp.2020.01.113

Crossref Full Text | Google Scholar

Laiou, E., Rapti, I., Markozannes, G., Cianferotti, L., Fleig, L., Warner, L. M., et al. (2020). Social support, adherence to mediterranean diet and physical activity in adults: results from a community-based cross-sectional study. J. Nutr. Sci. 9:e53. doi: 10.1017/jns.2020.46

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, X., Morris, M. C., Dhana, K., Ventrelle, J., Johnson, K., Bishop, L., et al. (2021). Mediterranean-DASH intervention for neurodegenerative delay (MIND) study: rationale, design and baseline characteristics of a randomized control trial of the MIND diet on cognitive decline. Contemp. Clin. Trials 102:106270. doi: 10.1016/j.cct.2021.106270

PubMed Abstract | Crossref Full Text | Google Scholar

Lopez, C. N., Martinez-Gonzalez, M. A., Sanchez-Villegas, A., Alonso, A., Pimenta, A. M., Bes-Rastrollo, M., et al. (2009). Costs of mediterranean and western dietary patterns in a spanish cohort and their relationship with prospective weight change. J. Epidemiol. Community Health 63, 920–927. doi: 10.1136/jech.2008.081208

PubMed Abstract | Crossref Full Text | Google Scholar

Mamalaki, E., Anastasiou, C. A., Ntanasi, E., Tsapanou, A., Kosmidis, M. H., Dardiotis, E., et al. (2018). Associations between the Mediterranean diet and sleep in older adults: results from the Hellenic longitudinal investigation of aging and diet study. Geriatr. Gerontol. Int. 18, 1543–1548. doi: 10.1111/ggi.13521

PubMed Abstract | Crossref Full Text | Google Scholar

Michie, S., Van Stralen, M. M., and West, R. (2011). The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement. Sci. 6:42. doi: 10.1186/1748-5908-6-42

PubMed Abstract | Crossref Full Text | Google Scholar

Morris, M. C., Tangney, C. C., Wang, Y., Sacks, F. M., Barnes, L. L., Bennett, D. A., et al. (2015). MIND diet slows cognitive decline with aging. Alzheimers Dement. 11, 1015–1022. doi: 10.1016/j.jalz.2015.04.011

PubMed Abstract | Crossref Full Text | Google Scholar

Mötteli, S., Siegrist, M., and Keller, C. (2017). Women's social eating environment and its associations with dietary behavior and weight management. Appetite 110, 86–93. doi: 10.1016/j.appet.2016.12.014

PubMed Abstract | Crossref Full Text | Google Scholar

Oken, B. S., Fonareva, I., and Wahbeh, H. (2011). Stress-related cognitive dysfunction in dementia caregivers. J. Geriatr. Psychiatry Neurol. 24, 191–198. doi: 10.1177/0891988711422524

PubMed Abstract | Crossref Full Text | Google Scholar

Ory, M. G., Hoffman, R. R., Yee, J. L., Tennstedt, S., and Schulz, R. (1999). Prevalence and impact of caregiving: a detailed comparison between dementia and nondementia caregivers. Gerontologist 39, 177–185. doi: 10.1093/geront/39.2.177

PubMed Abstract | Crossref Full Text | Google Scholar

Persoskie, A., Hennessy, E., and Nelson, W. L. (2017). US consumers' understanding of nutrition labels in 2013: the importance of health literacy. Prev. Chronic Dis. 14:E86. doi: 10.5888/pcd14.170066

PubMed Abstract | Crossref Full Text | Google Scholar

Rabinowitz, Y. G., Mausbach, B. T., Thompson, L. W., and Gallagher-Thompson, D. (2007). The relationship between self-efficacy and cumulative health risk associated with health behavior patterns in female caregivers of elderly relatives with Alzheimer's dementia. J. Aging Health 19, 946–964. doi: 10.1177/0898264307308559

PubMed Abstract | Crossref Full Text | Google Scholar

Rullier, L., Lagarde, A., Bouisson, J., Bergua, V., and Barberger-Gateau, P. (2013). Nutritional status of community-dwelling older people with dementia: associations with individual and family caregivers' characteristics. Int. J. Geriatr. Psychiatry 28, 580–588. doi: 10.1002/gps.3862

PubMed Abstract | Crossref Full Text | Google Scholar

Rullier, L., Lagarde, A., Bouisson, J., Bergua, V., Torres, M., Barberger-Gateau, P., et al. (2014). Psychosocial correlates of nutritional status of family caregivers of persons with dementia. Int. Psychogeriatr. 26, 105–113. doi: 10.1017/S1041610213001579

PubMed Abstract | Crossref Full Text | Google Scholar

Shand, C., Crozier, S., Vassilev, I., Penn-Newman, D., Dhuria, P., Cooper, C., et al. (2021). Resources in women's social networks for food shopping are more strongly associated with better dietary quality than people: a cross-sectional study. Soc. Sci. Med. 284:114228. doi: 10.1016/j.socscimed.2021.114228

PubMed Abstract | Crossref Full Text | Google Scholar

Timlin, D., Giannantoni, B., McCormack, J. M., Polito, A., Ciarapica, D., Azzini, E., et al. (2021). Comparison of barriers and facilitators of MIND diet uptake among adults from Northern Ireland and Italy. BMC Public Health 21:265. doi: 10.1186/s12889-021-10307-9

PubMed Abstract | Crossref Full Text | Google Scholar

Torres, S. J., McCabe, M., and Nowson, C. A. (2010). Depression, nutritional risk and eating behaviour in older caregivers. J. Nutr. Health Aging 14, 442–448. doi: 10.1007/s12603-010-0041-x

PubMed Abstract | Crossref Full Text | Google Scholar

Tsofliou, F., Vlachos, D., Hughes, C., and Appleton, K. M. (2022). Barriers and facilitators associated with the adoption of and adherence to a Mediterranean style diet in adults: a systematic review of published observational and qualitative studies. Nutrients 14:4314. doi: 10.3390/nu14204314

PubMed Abstract | Crossref Full Text | Google Scholar

Tyson, C. C., Svetkey, L. P., Lin, P.-H., Granados, I., Kennedy, D., Dunbar, K. T., et al. (2023). Self-perceived barriers and facilitators to dietary approaches to stop hypertension diet adherence among black americans with chronic kidney disease: a qualitative study. J. Ren. Nutr. 33, 59–68. doi: 10.1053/j.jrn.2022.05.002

PubMed Abstract | Crossref Full Text | Google Scholar

USDA and USDHHS (2020). Dietary Guidelines for Americans, 2020-2025. Washington, DC: U.S. Department of Agriculture and U.S. Department of Health and Human Services.

Google Scholar

Vitaliano, P. P., Zhang, J., and Scanlan, J. M. (2003). Is caregiving hazardous to one's physical health? A meta-analysis. Psychol. Bull. 129, 946–972. doi: 10.1037/0033-2909.129.6.946

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, X. R., Liu, S.-X., Robinson, K. M., Shawler, C., and Zhou, L. (2019). The impact of dementia caregiving on self-care management of caregivers and facilitators: a qualitative study. Psychogeriatrics 19, 23–31. doi: 10.1111/psyg.12354

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, X. R., Robinson, K. M., and Carter-Harris, L. (2014). Prevalence of chronic illnesses and characteristics of chronically ill informal caregivers of persons with dementia. Age Ageing 43, 137–141. doi: 10.1093/ageing/aft142

PubMed Abstract | Crossref Full Text | Google Scholar

Watson, B., Tatangelo, G., and McCabe, M. (2019). Depression and anxiety among partner and offspring carers of people with dementia: a systematic review. Gerontologist 59, e597–e610. doi: 10.1093/geront/gny049

PubMed Abstract | Crossref Full Text | Google Scholar

Welch, N., McNaughton, S. A., Hunter, W., Hume, C., and Crawford, D. (2009). Is the perception of time pressure a barrier to healthy eating and physical activity among women? Public Health Nutr. 12, 888–895. doi: 10.1017/S1368980008003066

PubMed Abstract | Crossref Full Text | Google Scholar

Wilde, P. E., and Llobrera, J. (2009). Using the thrifty food plan to assess the cost of a nutritious diet. J. Consum. Aff. 43, 274–304. doi: 10.1111/j.1745-6606.2009.01140.x

Crossref Full Text | Google Scholar

Yeh, M. C., Ickes, S. B., Lowenstein, L. M., Shuval, K., Ammerman, A. S., Farris, R., et al. (2008). Understanding barriers and facilitators of fruit and vegetable consumption among a diverse multi-ethnic population in the USA. Health Promot. Int. 23, 42–51. doi: 10.1093/heapro/dam044

PubMed Abstract | Crossref Full Text | Google Scholar

Zuraikat, F. M., Makarem, N., St-Onge, M.-P., Xi H, Akkapeddi, A., and Aggarwal, B. (2020). A Mediterranean dietary pattern predicts better sleep quality in US Women from the American Heart Association go red for women strategically focused research network. Nutrients 12:2830. doi: 10.3390/nu12092830

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: informal caregiving, dietary patterns, brain health, dementia care, caregiver nutrition

Citation: Guzman J and Aguiñaga S (2024) The COM-B model: a cross-sectional survey assessing capability, opportunities, and motivation to follow the MIND diet among informal female caregivers of people with Alzheimer's disease and related dementias. Front. Dement. 3:1451310. doi: 10.3389/frdem.2024.1451310

Received: 19 June 2024; Accepted: 19 September 2024;
Published: 03 October 2024.

Edited by:

Kristin Rene Krueger, Rush University Medical Center, United States

Reviewed by:

Monica Lauren Parker, Emory University, United States
Jaime Perales-Puchalt, University of Kansas Medical Center, United States
Brenna Renn, University of Nevada, Las Vegas, United States

Copyright © 2024 Guzman and Aguiñaga. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jacqueline Guzman, amd1em1hbiYjeDAwMDQwO21jdy5lZHU=

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