Association between Dog Owner Demographics and Decision to Seek Veterinary Care
Department of Clinical Sciences, North Carolina State University, Raleigh, NC 27606, USA
*
Author to whom correspondence should be addressed.
Vet. Sci. 2021, 8(1), 7; https://doi.org/10.3390/vetsci8010007
Submission received: 10 December 2020
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Revised: 2 January 2021
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Accepted: 3 January 2021
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Published: 5 January 2021
(This article belongs to the Section Veterinary Education, Veterinary Communication and Animal Behavior)
Abstract
:(1) Background: An important aspect of dog ownership is providing veterinary care. However, features of dog ownership differ across demographic groups and these may influence veterinary client decision making and behavior. The purpose of the present study was to elucidate relationships between American dog owner characteristics and willingness to seek veterinary care. (2) Methods: A total of 858 dog owners completed an online questionnaire asking participants to rate their level of likelihood to seek veterinary care for different medical conditions, answer supplemental questions about their previous veterinary barriers, and indicate barriers that prevent them from seeking veterinary care. (3) Results: Dog owners did not differ by demographics in their willingness to seek veterinary care. However, dog owner demographic groups varied in their relationship with their dog(s), previous behaviors accessing veterinary care, and barriers that make seeking veterinary care challenging. (4) Conclusions: Education, outreach and community-based veterinary medicine efforts should allocate resources to underserved communities identified within the context that they are affected by barriers to obtaining veterinary care for their dog(s).
1. Introduction
Nearly 48 million American households own one or more dog(s) with an estimated 77 million pet dogs in the United States [1]. Benefits of dog ownership include companionship [2], protection [3], improved physical and mental health outcomes [4,5], and social facilitation [6,7]. Relationships with pet dogs may differ across demographic groups [3,8,9] and this may influence the quality of veterinary care received [10,11].
According to the American Veterinary Medical Association [1], the majority of dog-owning households accessed veterinary care for their dog(s) in 2016. Dog owners primarily visited the veterinarian for preventative care, vaccinations, and if their dog was sick (e.g., skin allergies, stomach upsets, ear infections) [1,12]. Routine veterinary visits are an important component in prevention, early diagnosis, and treatment for developing problems or diseases in companion animals [13]. However, there may be a lack of owner understanding surrounding the need for routine veterinary visits [14] or what constitutes a veterinary visit, as approximately 20% of American dog owners do not seek veterinary care annually [1]. Among this population, the primary reasons noted for not seeking veterinary care included: the dog was not injured or sick, veterinary care was cost-prohibitive, dog did not need vaccinations, and the owner provided health care and/or vaccinations to their dog directly [1]. In a systematic review conducted by LaVallee and colleagues [15], the most common barriers to veterinary care were identified as cost, accessibility (e.g., transportation, clinic location, availability), veterinarian client communication/relationship, cultural/language barriers, and lack of client education. These obstacles may be amplified for dog owners in communities that have been previously underserved by veterinarians due to concerns related to cost, compliance and culture [16,17,18]. However, to date, limited empirical and geographically relevant research exists concerning accessible veterinary care for these communities [15].
In order to provide veterinary care for underserved individuals, we must understand the relationship between dog owner characteristics (e.g., race/ethnicity, socioeconomic status, age, educational background, human–animal bond) and willingness to seek veterinary care for their dog. Previous studies have indicated differences in companion animal owners’ veterinary-related behaviors across racial groups. Compared to White or Caucasian companion animal owners, Black or African American companion animal owners are approximately 10% less likely to seek veterinary care [19]. In a retrospective study from the Humane Society of the United States (HSUS) Pets for Life (PFL) program, Sparks and colleagues [20] found that compared to White or Caucasian pet owners, Hispanic/Latinx pet and Black pet owners were 38% and 54% less likely to spay or neuter their pets, respectively. However, multiple owner demographic factors may ultimately contribute to client behavior. Landau and colleagues [21] identified that employment status, education, and income were associated with an increased likelihood of Latinx pet owners seeking veterinary care. Furthermore, level of attachment to the companion animal may influence veterinary care decisions, as companion animal owners who held high levels of attachment to their pet reported visiting the veterinarian more frequently, being less sensitive to the price of veterinary care, and being more likely to provide preventative care and seek higher levels of veterinary care for their companion animal [10].
Therefore, the purpose of the present study was to elucidate relationships between American dog owner characteristics and willingness to seek veterinary care. Although previous studies have investigated dog owner demographics, each were limited to single geographical locations (e.g., primarily Texas–Mexico border) [11,22,23,24], focused solely on Latinx pet owners [9,11,21,22,23,24] or were restricted in scope of demographic factors that may influence the study outcome [3,10,11,20]. Further, these studies have traditionally focused on the sole outcome of sterilization in companion animals and not on comprehensive veterinary care [11,20,22,23,24]. These study features, or lack thereof, have limited the ability to generalize the findings from previous research. The objective of the present study was to identify the relationship between dog owner characteristics and willingness to seek veterinary care in a large, diverse, national sample of dog owners.
2. Materials and Methods
Participants were recruited for an online anonymous survey utilizing the Amazon Mechanical Turk (mTurk) crowdsourcing marketplace via Amazon.com. Previous research has indicated that mTurk samples provide socioeconomically and culturally diverse participants [25] and data quality are comparable to, or superior to, other platforms used to obtain survey participants [25,26,27]. For these reasons, mTurk was chosen in an effort to recruit a sample of dog owners that resembled the parameters of the United States demographic population.
For the present study, a sample of 858 mTurk participants who self-identified as dog owners were obtained to yield a sampling margin-of-error within 3.3%. All participants were at least 18 years old and a legal resident of the United States. Each mTurk participant received a nominal fee ($0.50) for participating in the survey.
The survey was created and tested by researchers at North Carolina State University. During survey development, a small sample of undergraduate, graduate, and veterinary students (~10) piloted the questionnaire to provide feedback on question flow and readability. Feedback from the pilot survey was incorporated into the final version of the questionnaire. The survey was available on mTurk from 10 June 2020 to 17 June 2020. As the survey was anonymous, written informed consent was not required. Prior to the first question, an introductory statement was included with an explanation of the study’s purpose and indicated that participation in this study is an indication of informed consent for responses to be used in this research. The study was categorized as exempt by the North Carolina State University’s Institutional Review Board (Protocol #21103).
2.1. Questionnaire Design
The questionnaire asked dog owners a qualifying item “How many dogs do you own?” This item was intended to (1) ensure that participants were dog owners, and (2) request dog owners with multiple dogs to focus on one dog for the remaining questions. The survey opened with an introduction that explained the purpose of the study. This was followed by a section asking participants to indicate their level of likelihood (i.e., not at all likely, not very likely, likely, very likely) to seek veterinary care under 18 different circumstances (various medical conditions). The second section asked supplemental questions about dog demographics (e.g., age, rabies vaccination), relationship with dog, previous veterinary behavior (e.g., veterinary services used, type of veterinarian visited, pet insurance) and barriers that prevent the use of veterinary care. The final section requested respondents’ demographic information (gender, race, age, geographical location, highest level of education, annual household income, current employment status).
2.2. Statistical Analysis
Data analysis included descriptive and inferential statistics. Descriptive statistics were calculated for all survey items. Results were compared by key demographic criteria, including gender, race, age, geographic location, highest level of education, annual household income and current employment status. To compare group level responses to likelihood ratings, independent sample t-tests and ANOVAs were used. Findings were considered statistically significant at p < 0.05. When multiple comparisons were made, a Bonferroni correction was employed to prevent family-wise error. This resulted in the p-value being reduced to 0.0027 for detection of statistically significant findings. Post-hoc analyses were conducted within overall models to distinguish differences in statistically significant findings. For categorical variables, comparisons were performed using chi-squared tests. All analyses were performed using SPSS (version 24) statistical software (Armonk, NY, USA).
3. Results
The demographic characteristics of the participants in this study were quite diverse in many areas, with an exception for highest level of education obtained and employment status. More specifically, there were generally fewer participants without formal education or who were not employed full-time (e.g., employed part-time, student, retired) therefore the data presented reflect participants with higher levels of education and higher rates of full time employment than expected from the general population of the United States. Table 1 presents the demographic characteristics for the sample.
3.1. Likelihood to Seek Veterinary Care
Results were compared by key demographic variables for all 18 medical conditions listed as potential reasons to seek veterinary care. Overall results indicated significant relationships between demographic features and the majority of medical conditions (summarized in Table 2). However, for all significant findings the eta-squared effect size estimate (η2) was between 0.01 and 0.04, indicating the practical significance of these differences were small [28]. Therefore, summary results are presented to demonstrate American dog owners’ likelihood to seek veterinary care (Table 3). Of the 18 different medical conditions presented, joint pain, skin growths, limping, ear infection, bladder problems, eye infection, trauma, ingested poisonous substance and end of life care were rated the most likely reasons to seek veterinary care (>70% of participants responded “Likely” or “Very likely” to these items). Dog owners indicated that they were least likely to bring their dog into the veterinarian with the following conditions: vomiting, behavioral issues, diarrhea, weight gain and increased drinking (~50% of participants responded “Not at all likely” or “Not very likely” to these items).
3.2. Human–Animal Relationship by Demographic Variables
Several demographic features had significant relationships with the item “Which best describes your relationship with your dog?” (Table 4). Demographic groups that were more likely to describe their relationship with their dog as that of a “family member” or “friend and/or companion” (compared to other members of their demographic group) include females (79.9%), Asians (80.0%), Hispanics/Latinx (76.9%), Whites or Caucasians (74.9%), those who had a household income of $150,000–$199,999 (83.3%) or over $200,000 (91.7%), students (100.0%), those who are self-employed (84.9%), seeking opportunities (84.6%) or retired (80.9%), those who held a high school diploma or equivalent (83.4%), had attended some college (91.9%) or those who had obtained an Associate’s degree (82.2%). In contrast, males (23.2%), Black Americans or African Americans (24.4%), Native Americans or American Indians (25.0%), those who had a household income of $40,000–$59,999 (21.9%), $80,000–$99,999 (27.3%) or $100,000–$149,999 (27.1%), those who are employed full-time (21.8%), or those with a Bachelor’s (18.8%) or Master’s degree (28.1%) were more likely to describe their dog as their “property”.
3.3. Dog Owners’ Veterinary Behaviors by Demographic Variables
Dog owners were asked to report on their previous behaviors in seeking veterinary care. As an indicator of the most basic veterinary care, rabies vaccination, results were significantly associated with several demographic features (Table 5). Dog owners who are Asian (93.0%), located in the Midwest (93.8%), earn more than $200,000 annually (100.0%), are 50–59 years (91.5%) or 60 years or older (97.4%), or have obtained some college credit (96.4%) or an Associate’s degree (96.7%) were more likely to have vaccinated their dog against rabies. Conversely, demographic groups that were less likely to have vaccinated their dog against rabies include dog owners who are Native American or American Indian (62.5%), earn ≤ $24,999 (77.3%) or $40,000–$59,999 annually (79.7%), or are 18–29 years old (76.6%). When asked about whether they had taken their dog to the veterinarian in the past 18 months, a significant association was observed for many demographic groups (Table 6). Dog owners who were less likely to have visited the veterinarian within the last 18 months include those who earned less than $24,999 (60.8%), $25,000–$39,999 (72.1%) or $40,000–$59,999 (72.9%) annually, are 18–29 years (72.6%) or 30–39 years old (72.8%), have a high school education (57.1%), earned some college credit (74.7%) or obtained an Associate’s degree (69.4%).
Dog owners who indicated that they have accessed veterinary care for their dog within the last 18 months were asked to identify which veterinary services (Table 7) and what type(s) of veterinarians they visited (Table 8). Significant associations were found between demographic groups and many types of services and veterinarians (Table 7 and Table 8). No significant associations were observed for “Spay/neuter” and “Anal gland expression” veterinary services with any dog owner demographics collected.
3.4. Barriers to Seek Veterinary Care by Demographic Variables
Several barriers were identified that make seeking veterinary care challenging across demographic criteria. Barriers identified include cost, transportation, hours of operation, language differences, poor previous encounters with veterinarians, lack of trust in veterinarians, dog owner provides healthcare for their dog themselves, and/or dog owner does not believe veterinary care is necessary. An option was provided to allow participants to indicate that they do not have any barriers that prevent them from seeking veterinary care for their dog. Significant associations were found with demographic groups for many of these barriers (Table 9). No significant associations were observed for the barrier, “Poor previous encounter with veterinarians” with any dog owner demographics collected.
4. Discussion
Based on the results from this survey, while likelihood to seek veterinary care is not affected in a meaningful way by the demographic characteristics of owners, these characteristics do affect the human–dog relationship and identified barriers to veterinary care. This suggests that a perceived baseline understanding of medical conditions that constitute veterinary care exists among American dog owners. This finding is in contrast with previous studies, which have maintained an assumption that race and ethnicity are primary predictors in the decision to access veterinary services for companion animals [9,19,29]. Previous research conducted by Wolf and colleagues [19] investigated pet-related and veterinary service expenditures and found that Black or African American and Asian pet owners were approximately 10% less likely to seek veterinary care, and Native American households were nearly 4% less likely, compared to White or Caucasian pet owners. However, few studies have measured the role of dog owner demographics on willingness to seek veterinary care. While the purchasing behavior of pet owners may differ among races and ethnicities, these demographic features do not appear to influence decisions on the need for veterinary care for dog owners.
From the results of this study, we have identified primary areas of focus for canine health education and community outreach, as well as opportunities to optimize practices of community medicine. Broadly speaking, participants indicated that they would be most likely to seek medical care for their dog under recognizable circumstances (e.g., trauma, ingested poisonous substances, end of life care). Furthermore, American dog owners identified that they would be least likely to seek veterinary care for their dog under the following conditions: vomiting, diarrhea, weight gain, increased drinking, and behavioral changes. As these symptoms may be early indicators of certain diseases (e.g., kidney disease, hyperadrenocorticism, pancreatitis), the veterinary community may want to dedicate future canine health education efforts on how symptoms that may present as mild can be critical for health outcomes. However, it must be noted that diagnosis of disease will be dependent on several factors including severity and duration of medical condition, situational context, and age of the dog. This survey did not provide qualifiers for these descriptors, so it is unknown if respondents were considering, for example, sporadic or incidental vomiting compared to what their responses might have been for chronic or intractable vomiting. The low likelihood of seeing veterinary care for behavioral changes is also concerning, as behavioral problems represent a major reason for dog relinquishment in the United States [30,31,32].
Subsets of American dog owners (e.g., Native Americans or American Indian, young, low annual household income, lack of formal education) indicated that they did not vaccinate their dog against rabies, or seek veterinary care for an annual examination, vaccinations, or preventative medications within the past 18 months. This may represent a disparity in education among dog owners about the health benefits of preventative care and is in alignment with previous research [14,18,24,33]. Across all demographic groups, few American dog owners reported seeking dental care services for their dog(s). Periodontal disease is an inflammatory disease that affects 80–89% of dogs over 3 years of age [34,35,36]. As this disease affects the dog’s tooth supporting tissues and may lead to substantial tissue and tooth loss, as well as reduced quality of life (e.g., uncomfortable to eat, behavioral changes, localized pain), routine veterinary dental assessment under anesthesia is necessary [37]. Overall, providing education on the importance of routine veterinary care to dog owners may play a fundamental role in improving access to health care for dogs.
Across all demographic groups, cost appeared to be the largest barrier to veterinary care with 49.6% of participants indicating cost to be a challenge. This figure is high compared to previous work by Lue and colleagues [10], in which researchers found that nearly 20% of veterinary clients said that cost prevented them from seeking veterinary treatment. However, the majority of companion animal owners indicated that they believed veterinary services are expensive [10]. A separate phone-survey study conducted across the United States determined that cost was a primary obstacle that prevented pet owners from seeking veterinary care [21]. However, the present findings suggest that certain dog owners may be disproportionately affected by cost (e.g., Native Americans or American Indians, Asians, those who learn less than $24,999 annually, young dog owners and owners with a lack of formal education). Thus, resources that provide low-cost care (e.g., vouchers, sponsored clinics, angel funds) for veterinary services should be offered primarily within these communities. Further challenges identified by dog owners included transportation and hours of operation. Dog owners who are Black or African American, Native American or American Indian, have a low household income, or have obtained higher education (e.g., Bachelor’s or Master’s degree) viewed transportation as a greater barrier to seek veterinary care. Except for dog owners who have obtained higher education, these groups also reported that they are less likely to bring their dog(s) into a traditional veterinary clinic suggesting that other forms of veterinary care (e.g., mobile clinic, publicly sponsored clinic) may be more appealing to these dog owners. Flexible hours of operation may be especially beneficial to dog owners who are Black or African American, young, are employed full-time or part-time, or earn between $80,000 and $199,999 annually. Through identifying dog owner populations that may benefit from specific approaches, veterinarians may utilize this knowledge to better serve their communities and provide resources that are crucial for getting dogs routine veterinary care. This practice of community-based veterinary medicine will benefit improving animal welfare, as well as advance overall community health [14].
A subset of dog owners (e.g., males, Black Americans or African Americans, Native Americans or American Indians, those with higher education) identified “Lack of trust in veterinarians” as a barrier to seeking veterinary care. Within the context of lack of trust, the barrier of veterinarian client communication is often discussed regarding cost, ethics, and judgement of the ability to offer care [15]. Though, interestingly, the barrier “Poor previous encounter with veterinarians” was not significant for any demographic group. The findings that indicated male dog owners, as well as dog owners who have obtained higher education are more likely to view “Lack of trust in veterinarians” as a barrier were peculiar, and more research is needed to understand the meaning. With respect to gender, the veterinary profession is shifting in the United States with an increasing majority of veterinary students being female. However, that demographic has yet to shift the profession in positions of power. No prior studies have directly addressed whether this demographic shift has altered trust in veterinarians and therefore, future work is needed. For racial and ethnic minorities, this finding may hold more importance as these individuals experience similar distrust in human medical healthcare professionals and consequently, seek health care at a lower rate [38]. The unequal access to and quality of health care experienced by racial and ethnic minorities, as well as the history of racism in medicine experienced in the United States, may translate to feelings of mistrust toward veterinarians, as well [39,40]. In addition, Black or African American and Native American or American Indian dog owners may struggle identifying with their veterinarian(s). Although minority populations have grown and encompass a greater proportion of the United States population than ever before, the veterinary demographic has largely remained the same (e.g., Caucasian or White veterinarians) [15,41] with fewer than 1% of veterinarians identifying as Black or African American [42]. In this survey, Black or African American and Native American or American Indian dog owners reported that they were more likely to provide healthcare themselves for their dog. Although not impossible, it is unlikely that these participants held a Doctor of Veterinary Medicine (DVM) degree and therefore, this finding was curious and suggests a further need for education within these communities, as well as effective communication to increase understanding of why dogs require routine veterinary care from trained professionals. This discrepancy in understanding may be contributed to companion animal ownership rates which differ among racial and ethnic groups with the lowest rate of companion animal ownership among Black or African American households (36.9%) [1]. As minority dog owners are less likely to have grown up in a household with dogs and more likely to be first time dog owners, the importance of routine veterinary care may not be obvious [8]. Regardless of the underlying cause of distrust in veterinarians, outreach efforts by veterinarians may be beneficial to building trust within these communities and ultimately lead to increased numbers of dogs receiving medical attention.
4.1. Contributions to the Literature
The present study offers findings discovered through a strong methodological approach. In contrast to prior studies that have investigated companion animal owners’ willingness to seek veterinary care, this study utilized a diverse (e.g., gender, race, age, annual household income, region of the United States) and national sample of participants, therefore increasing the likelihood that the findings may be generalizable. Further, this study used a questionnaire that inquired about various behaviors surrounding veterinary care and provides context to health care decisions made by American dog owners beyond sterilization. These findings support providing community-based veterinary medicine within contexts that are relevant for the obstacles to veterinary care which afflict specific demographics of dog owners.
4.2. Limitations
The present study had several limitations. Perhaps the most significant limitation was a lack of statistical weights to adjust for over/under-sampling issues. Statistical weighting was not performed due to a combination of lack of population parameters as a reference group, and small sub-population groups. For example, participants indicated that they had formal education (e.g., Bachelor’s or Master’s degree) and were employed full time at a higher rate than average in the United States [43]. This may reduce the generalizability of these findings to dog owners with less education or affected by differing work circumstances. Furthermore, within the demographic parameters collected, community type (e.g., rural, urban, suburban) was not addressed. Along with the shifting racial and ethnic diversity occurring in the United States, a shift in community type is occurring [44]. Community type may reflect different barriers to obtaining veterinary care or may provide context to the barriers observed. For example, transportation may be a barrier in both rural and urban communities but differ for those affected. Additionally, participants who completed the present survey were required to be able to read and comprehend English. This unintentionally excluded Limited English Proficient (LEP) Spanish-speaking Americans (i.e., those who are unable to read, write and understand English to an extent that prevents effective communication) [45]. As this population is experiencing growth within the United States (over 16.1 million LEP Spanish-speaking Americans), the number of dog owners with LEP is presumed to be increasing, as well. Thus, the present results are limited to their generalizability within the Hispanic or Latinx community.
A weakness of the questionnaire was that the likelihood questions did not include qualifying statements (e.g., time frames, severity) for the differing medical conditions presented. Survey respondents may alter their answer about the likelihood of bringing their dog into the veterinarian in different situations. For example, a dog owner may be more likely to bring a dog in if it had vomited several times over multiple days compared to if their dog vomited in a single instance. The authors of the present study did consider how responses may differ based on participants’ interpretation when creating the questionnaire. Due to concerns about survey fatigue, the decision was made to not provide elaborative context for each medical condition presented. Future studies may consider elaborating on health care decision making of dog owners under differing situational contexts.
5. Conclusions
The purpose of this study was to examine American dog owners’ decision making regarding veterinary care. The results indicated that dog owner demographics did not differ in their likelihood of bringing their dog into the veterinarian when presented with different medical conditions. However, demographic groups varied in their relationship with their dog(s), previous behaviors utilizing veterinary care, and barriers that made seeking veterinary care challenging. These findings are valuable, as they allow the veterinary community to consider targeting veterinary care resources to dog owners who are disproportionately affected by particular barriers. Efforts should be made to improve client–veterinarian relationships within racial and ethnic minority communities. Through focused education, outreach and community-based veterinary medicine, there is potential to improve canine welfare and veterinary care.
Author Contributions
Conceptualization, R.M.P., M.E.G. and K.R.; methodology, R.M.P., M.E.G. and K.R.; formal analysis, R.M.P. and K.R.; investigation, R.M.P.; resources, R.M.P.; data curation, R.M.P.; writing—original draft preparation, R.M.P.; writing—review and editing, M.E.G. and K.R.; visualization, R.M.P., M.E.G. and K.R.; supervision, M.E.G. and K.R.; project administration, R.M.P.; funding acquisition, M.E.G. and K.R. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Due to the content of the study, the study was categorized as exempt by the North Carolina State University’s Institutional Review Board (Protocol #21103).
Informed Consent Statement
Participants indicated their informed consent by partaking in the survey.
Data Availability Statement
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy for participants.
Conflicts of Interest
The authors declare no conflict of interest.
References
- American Veterinary Medical Association (AVMA). U.S. Pet Ownership Statistics; 2017–2018 U.S. Pet Ownership & Demographics Sourcebook. Available online: https://www.avma.org/resources-tools/reports-statistics/us-pet-ownership-statistics (accessed on 21 May 2020).
- McConnell, A.R.; Lloyd, E.P.; Humphrey, B.T. We are family: Viewing pets as family members improves wellbeing. Anthrozoös 2019, 32, 459–470. [Google Scholar] [CrossRef]
- Risley-Curtiss, C.; Holley, L.C.; Wolf, S. The animal-human bond and ethnic diversity. Soc. Work. 2006, 51, 257–268. [Google Scholar] [CrossRef] [PubMed]
- Wells, D.L. Domestic dogs and human health: An overview. Br. J. Health Psychol. 2007, 12, 145–156. [Google Scholar] [CrossRef] [PubMed]
- Aydin, N.; Krueger, J.L.; Fischer, J.; Hahn, D.; Kastenmüller, A.; Frey, D.; Fischer, P. “Man’s best friend”: How the presence of a dog reduces mental distress after social exclusion. J. Exp. Soc. Psychol. 2011, 48, 446–449. [Google Scholar] [CrossRef]
- Cutt, H.; Giles-Corti, B.; Knuiman, M.; Burke, V. Dog ownership, health and physical activity: A critical review of the literature. Health Place 2007, 13, 261–272. [Google Scholar] [CrossRef]
- Knight, S.; Edwards, V. In the company of wolves. The physical, social and psychological benefits of dog ownership. J. Aging Health 2008, 20, 437–455. [Google Scholar] [CrossRef]
- Brown, S.-E. Ethnic variations in pet attachment among students at an American School of veterinary medicine. Soc. Anim. 2002, 10, 249–266. [Google Scholar] [CrossRef]
- Schoenfeld-Tacher, R.; Kogan, L.R.; Wright, M.L. Comparison of strength of the human-animal bond between Hispanic and non-Hispanic owners of pet dogs and cats. J. Am. Vet. Med. Assoc. 2010, 236, 529–534. [Google Scholar] [CrossRef]
- Lue, T.W.; Pantenburg, D.P.; Crawford, P.M. Impact of the owner-pet and client-veterinarian bond on the care that pets receive. J. Am. Vet. Med. Assoc. 2008, 232, 531–540. [Google Scholar] [CrossRef] [Green Version]
- Faver, C.A. Sterilization of companion animals: Exploring the attitudes and behaviors of Latino students in South Texas. J. Appl. Anim. Welf. Sci. 2009, 12, 314–330. [Google Scholar] [CrossRef]
- American Veterinary Medical Association (AVMA). Top 10 Reasons Pets Visit Veterinarians. 2006. Available online: https://www.avma.org/javma-news/2006-09-01/top-10-reasons-pets-visit-veterinarians (accessed on 19 June 2020).
- American Veterinary Medical Association (AVMA). Preventative Pet Healthcare. 2020. Available online: https://www.avma.org/resources/pet-owners/petcare/preventive-pet-healthcare (accessed on 19 June 2020).
- Hodges, B. Community service on behalf of animals. J. Am. Vet. Med. Assoc. 2012, 241, 41. [Google Scholar] [CrossRef] [PubMed]
- LaVallee, E.; Mueller, M.K.; McCobb, E. A systematic review of the literature addressing veterinary care for underserved communities. J. Appl. Anim. Welf. Sci. 2017, 20, 381–394. [Google Scholar] [CrossRef] [PubMed]
- Villarroel, A.; McDonald, S.; Walker, W.; Kaiser, L.; Dewell, R.; Dewell, G. A survey of reasons why veterinarians enter rural veterinary practice in the US. J. Am. Vet. Med. Assoc. 2010, 236, 849–857. [Google Scholar] [CrossRef]
- Dotinga, R. ‘Health Care Deserts’ More Common in Black Neighborhoods. 2012. Available online: http://www.cfah.org/hbns/2012/health-care-deserts-more-common-in-black-neighborhoods (accessed on 30 June 2020).
- Humane Society of the United States. Pets for Life: A New Community Understanding. 2012. Available online: http://www.humanesociety.org/assets/pdfs/pets/pfl_report_1_12.pdf (accessed on 30 June 2020).
- Wolf, C.A.; Lloyd, J.W.; Black, J.R. An examination of US consumer pet-related and veterinary services expenditures, 1980–2005. J. Am. Vet. Med. Assoc. 2008, 233, 404–413. [Google Scholar] [CrossRef] [PubMed]
- Sparks, J.L.D.; Camacho, B.; Tedeschi, P.; Morris, K.N. Race and ethnicity are not primary determinants in utilizing veterinary services in underserved communities in the United States. J. Appl. Anim. Welf. Sci. 2017. [Google Scholar] [CrossRef]
- Landau, R.E.; Beck, A.; Glickman, L.T.; Lister, A.; Widmar, N.J.O.; Moore, G.E. Use of veterinary services by Latino dog and cat owners with various degrees of English-proficiency. J. Am. Vet. Med. Assoc. 2016, 248, 681–689. [Google Scholar] [CrossRef]
- Poss, J.E.; Bader, J.O. Attitudes towards companion animals among Hispanic residents of a Texas border community. J. Appl. Anim. Welf. Sci. 2007, 10, 243–253. [Google Scholar] [CrossRef]
- Poss, J.E.; Bader, J.O. Results of a free spay/neuter program in a Hispanic Colonia on the Texas-Mexico border. J. Appl. Anim. Welf. Sci. 2008, 11, 346–351. [Google Scholar] [CrossRef]
- Poss, J.E.; Everett, M. Impact of a bilingual mobile spay/neuter clinic in a U.S./Mexico border city. J. Appl. Anim. Welf. Sci. 2010, 9, 71–77. [Google Scholar] [CrossRef]
- Casler, K.; Bickel, L.; Hackett, E. Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Comput. Human. Behav. 2013, 29, 156–160. [Google Scholar] [CrossRef]
- Hauser, D.; Schwarz, N. Attentive Turkers: MTurk particpants perform better on online attention checks than do subject pool participants. Behav. Res. 2015, 48, 400–407. [Google Scholar] [CrossRef] [PubMed]
- Zhang, B.; Gearhart, S. Collecting Online Survey Data: A Comparison of Data Quality among a Commercial Panel & MTurk. Surv. Pract. 2020, 13. [Google Scholar] [CrossRef]
- Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Lawrence Elbraum Associates: Hillsdale, NJ, USA, 2013. [Google Scholar]
- Hosey, G.; Melfi, V. Human–animal interactions, relationships and bonds: A review and analysis of the literature. Int. J. Comp. Psychol. 2014, 27, 117–142. [Google Scholar]
- Salman, M.D.; Ruche-Gallie, R.; Kogan, L.; New, J.C.; Kass, P.H.; Scarlett, J.M. Behavioral reasons for relinquishment of dogs and cats to 12 shelters. J. Appl. Anim. Welf. Sci. 2000, 3, 93–106. [Google Scholar] [CrossRef]
- Herron, M.E.; Lord, L.K.; Hill, L.N.; Reisner, L.R. Effects of preadoption counseling for owners on house-training success among dogs acquired from shelters. J. Am. Vet. Med. Assoc. 2007, 231, 558–562. [Google Scholar] [CrossRef] [PubMed]
- Duffy, D.L.; Kruger, K.A.; Serpell, J.A. Evaluation of a behavioral assessment tool for dogs relinquished to shelters. Prev. Vet. Med. 2014, 117, 601–609. [Google Scholar] [CrossRef]
- Malcolm, E.; McCobb, E. Characterizing Clientele at One Low-Cost Veterinary Clinic. Unpublished Masters’ Final Project. Tufts University, Grafton, MA, USA, 2014. [Google Scholar]
- Kortegaard, H.E.; Eriksen, T.; Baelum, V. Periodontal disease in research beagle dogs—An epidemiological study. J. Small Anim. Pract. 2008, 49, 610–616. [Google Scholar] [CrossRef] [PubMed]
- Fernandes, N.A.; Borges, A.P.B.; Reis, E.C.C.; Sepúlveda, R.V.; Pontes, K.C.D.S. Prevalence of periodontal disease in dogs and owners’ level of awareness—A prospective clinical trial. Rev. Ceres 2012, 59, 446–451. [Google Scholar] [CrossRef]
- Stella, J.L.; Bauer, A.E.; Croney, C.C. A cross-sectional study to estimate prevalence of periodontal disease in a population of dogs (Canis familiaris) in commercial breeding facilities in Indiana and Illinois. PLoS ONE 2018, 13, e0191395. [Google Scholar] [CrossRef]
- Enlund, K.B.; Brunius, C.; Hanson, J.; Hagman, R.; Hoglund, O.V.; Gustas, P.; Pettersson, A. Dog owners’ perspectives on canine dental health—A questionnaire study in Swedon. Front. Vet. Sci. 2020, 7, 296. [Google Scholar] [CrossRef]
- Alpers, L. Distrust and patients in intercultural healthcare: A qualitative interview study. Nurs. Ethics 2018, 25, 313–323. [Google Scholar] [CrossRef] [PubMed]
- Suite, D.H.; La Bril, R.; Primm, A.; Harrison-Ross, M.D. Beyond misdiagnosis, misunderstanding and mistrust: Relevance of the historical perspective in the medical and mental health treatment of people of color. J. Natl. Med. Assoc. 2007, 99, 879–885. [Google Scholar] [PubMed]
- Purnell, T.S.; Calhoun, E.A.; Golden, S.H.; Halladay, J.R.; Krok-Schoen, J.L.; Appelhans, B.M.; Cooper, L.A. Achieving Health Equity: Closing the gaps in healthcare disparities, interventions and research. Health Aff. 2016, 35, 1410–1415. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- U.S. Census Bureau. 2010 Census Data. 2010. Available online: http://www.census.gov/2010census/data (accessed on 20 May 2020).
- U.S. Bureau of Labor Statistics. Labor Force Statistics from the Current Population Survey. 2019. Available online: https://www.bls.gov/cps/cpsaat11.htm (accessed on 3 December 2020).
- U.S. Census Bureau. Educational Attainment in the United States: 2015. 2016. Available online: https://www.census.gov/library/publications/2016/demo/p20-578.html#:~:text=In%202015%2C%20almost%209%20out,a%20bachelor’s%20or%20higher%20degree (accessed on 5 December 2020).
- Parker, K.; Horowitz, J.M.; Brown, A.; Fry, R.; Cohn, D.; Igielnik, R. What Unites and Divides Urban, Suburban and Rural Communities; Pew Research Center, 2018; Available online: https://www.pewsocialtrends.org/2018/05/22/what-unites-and-divides-urban-suburban-and-rural-communities/ (accessed on 30 June 2020).
- Migration Policy Institute. Limited English Proficient Population of the United States. 2013. Available online: www.migrationpolicy.org/article/limited-english-proficient-population-united-states (accessed on 21 May 2020).
Table 1.
Demographic characteristics of sample.
| Characteristic | No. (%) |
|---|---|
| Gender | |
| Male | 505 (59.4) |
| Female | 344 (40.5) |
| Other | 1 (0.1) |
| Race/Ethnicity | |
| Caucasian | 524 (61.6) |
| Hispanic, Latino or Spanish origin | 78 (9.2) |
| Black or African American | 160 (18.8) |
| Native American or American Indian | 36 (4.2) |
| Asian | 45 (5.3) |
| From multiple races | 7 (0.8) |
| Age (y) | |
| 18–19 | 11 (1.3) |
| 20–24 | 48 (5.6) |
| 25–29 | 185 (21.8) |
| 30–34 | 197 (23.2) |
| 35–39 | 118 (13.9) |
| 40–44 | 98 (11.5) |
| 45–49 | 69 (8.1) |
| 50–54 | 41 (4.8) |
| 55–59 | 43 (5.1) |
| 60–64 | 26 (3.1) |
| 65–69 | 12 (1.4) |
| ≥70 | 2 (0.2) |
| Geographic Region | |
| Midwest | 152 (17.9) |
| Northeast | 170 (20.0) |
| South | 323 (38.0) |
| West | 205 (24.1) |
| Annual Household Income | |
| ≤$24,999 | 75 (8.8) |
| $25,000–$39,999 | 130 (15.3) |
| $40,000–$59,999 | 250 (29.4) |
| $60,000–$79,999 | 179 (21.1) |
| $80,000–$99,999 | 110 (12.9) |
| $100,000–$149,999 | 76 (8.9) |
| $150,000–$199,999 | 18 (2.1) |
| ≥$200,000 | 12 (1.4) |
| Employment Status | |
| Employed full-time | 670 (78.8) |
| Employed part-time | 79 (9.3) |
| Self-employed | 53 (6.2) |
| Seeking opportunities | 13 (1.5) |
| Student | 14 (1.6) |
| Retired | 21 (2.5) |
| Highest Level of Education | |
| Some high school, no diploma | 4 (0.5) |
| High school graduate, diploma or equivalent (e.g., GED) | 42 (4.9) |
| Some college credit, no degree | 87 (10.2) |
| Trade/technical/vocational training | 7 (0.8) |
| Associate degree (e.g., AA, AS, ABA, ABS) | 64 (7.5) |
| Bachelor’s degree (e.g., BA, BSc) | 435 (51.2) |
| Master’s degree (e.g., MA, MSc, MBA) | 201 (23.6) |
| Doctorate or Professional degree (e.g., PharmD, JD, MD, DVM, PhD) | 10 (1.2) |
Table 2.
Likelihood to seek veterinary care ratings per condition by American dog owner demographic characteristics.
Table 2.
Likelihood to seek veterinary care ratings per condition by American dog owner demographic characteristics.
| Characteristic 1 | |||||
|---|---|---|---|---|---|
| Medical Condition | Race/Ethnicity | Geographic Region | Annual Household Income | Employment Status | Highest Level of Education |
| Vomiting | (F5, 844 = 7.528, η2 = 0.043) ** | (F3, 846 = 0.118, η2 ≤ 0.001) | (F7, 842 = 1.205, η2 = 0.008) | (F5, 844 = 2.019, η2 = 0.012) | (F7, 842 = 3.400, η2 = 0.027) ** |
| Behavioral issues | (F5, 844 = 7.131, η2 = 0.041) ** | (F3, 846 = 0.587, η2 = 0.002) | (F7, 842 = 0.513, η2 = 0.004) | (F5, 844 = 1.708, η2 = 0.010) | (F7, 842 = 3.435, η2 = 0.028) ** |
| Diarrhea | (F5, 844 = 7.271, η2 = 0.041) ** | (F3, 846 = 0.118, η2 ≤ 0.001) | (F7, 842 = 1.821, η2 = 0.015) | (F5, 844 = 1.177, η2 = 0.007) | (F7, 842 = 4.943, η2 = 0.039) ** |
| Weight gain | (F5, 844 = 7.152, η2 = 0.041) ** | (F3, 846 = 0.482, η2 = 0.002) | (F7, 842 = 1.431, η2 = 0.012) | (F5, 844 = 1.055, η2 = 0.006) | (F7, 842 = 6.207, η2 = 0.049) ** |
| Increased drinking | (F5, 844 = 3.774, η2 = 0.022) ** | (F3, 846 = 0.776, η2 = 0.003) | (F7, 842 = 2.427, η2 = 0.020) * | (F5, 844 = 0.430, η2 = 0.003) | (F7, 842 = 3.081, η2 = 0.025) |
| Skin irritations | (F5, 844 = 4.575, η2 = 0.026) ** | (F3, 846 = 0.514, η2 = 0.002) | (F7, 842 = 1.677, η2 = 0.014) | (F5, 844 = 0.495, η2 = 0.003) | (F7, 842 = 1.129, η2 = 0.009) |
| Weight loss | (F5, 844 = 2.871, η2 = 0.017) * | (F3, 846 = 3.656, η2 = 0.013) * | (F7, 842 = 2.032, η2 = 0.017) * | (F5, 844 = 1.285, η2 = 0.008) | (F7, 842 = 1.495, η2 = 0.012) |
| Respiratory problems | (F5, 844 = 3.409, η2 = 0.020) * | (F3, 846 = 3.204, η2 = 0.011) * | (F7, 842 = 1.987, η2 = 0.011) | (F5, 844 = 0.812, η2 = 0.005) | (F7, 842 = 2.651, η2 = 0.022) * |
| Inactive/lethargic | (F5, 844 = 2.250, η2 = 0.013) * | (F3, 846 = 0.689, η2 = 0.002) | (F7, 842 = 1.557, η2 = 0.013) | (F5, 844 = 1.136, η2 = 0.007) | (F7, 842 = 3.262, η2 = 0.026) * |
| Joint pain | (F5, 844 = 4.080, η2 = 0.024) ** | (F3, 846 = 0.974, η2 = 0.003) | (F7, 842 = 3.393, η2 = 0.027) ** | (F5, 844 = 0.892, η2 = 0.005) | (F7, 842 = 2.658, η2 = 0.022) * |
| Skin growths | (F5, 844 = 1.341, η2 = 0.008) | (F3, 846 = 2.235, η2 = 0.008) | (F7, 842 = 1.656, η2 = 0.014) | (F5, 844 = 0.968, η2 = 0.006) | (F7, 842 = 1.630, η2 = 0.013) * |
| Limping | (F5, 844 = 4.278, η2 = 0.025) ** | (F3, 846 = 1.902, η2 = 0.007) | (F7, 842 = 1.736, η2 = 0.014) | (F5, 844 = 0.748, η2 = 0.004) | (F7, 842 = 1.852, η2 = 0.015) |
| Ear infection | (F5, 844 = 2.554, η2 = 0.042) ** | (F3, 846 = 6.591, η2 = 0.023) ** | (F7, 842 = 2.701, η2 = 0.016) ** | (F5, 844 = 2.316, η2 = 0.014) | (F7, 842 = 3.299, η2 = 0.027) ** |
| Bladder problems | (F5, 844 = 2.557, η2 = 0.015) * | (F3, 846 = 3.758, η2 = 0.013) * | (F7, 842 = 3.970, η2 = 0.032) ** | (F5, 844 = 1.672, η2 = 0.010) | (F7, 842 = 4.965, η2 = 0.040) ** |
| Eye infection | (F5, 844 = 2.524, η2 = 0.015) * | (F3, 846 = 3.184, η2 = 0.011) * | (F7, 842 = 2.701, η2 = 0.022) * | (F5, 844 = 1.890, η2 = 0.011) | (F7, 842 = 4.731, η2 = 0.038) ** |
| Trauma | (F5, 844 = 4.018, η2 = 0.023) ** | (F3, 846 = 4.804, η2 = 0.017) * | (F7, 842 = 2.913, η2 = 0.024) ** | (F5, 844 = 3.450, η2 = 0.020) * | (F7, 842 = 3.892, η2 = 0.031) ** |
| Ingested poisonous substance | (F5, 844 = 7.303, η2 = 0.041) ** | (F3, 846 = 5.255, η2 = 0.018) ** | (F7, 842 = 2.474, η2 = 0.020) * | (F5, 844 = 3.017, η2 = 0.018) * | (F7, 842 = 3.454, η2 = 0.028) ** |
| End of life care | (F5, 844 = 4.517, η2 = 0.026) ** | (F3, 846 = 2.892, η2 = 0.010) * | (F7, 842 = 2.612, η2 = 0.021) * | (F5, 844 = 2.847, η2 = 0.017) * | (F7, 842 = 5.035, η2 = 0.040) ** |
1 Data not presented for characteristics with non-significant findings. * indicates p ≤ 0.05. ** indicates p ≤ 0.0027, the reduced Bonferroni value.
Table 3.
Overall likelihood to seek veterinary care under different medical conditions rated by American dog owners.
Table 3.
Overall likelihood to seek veterinary care under different medical conditions rated by American dog owners.
| Condition | Not at All Likely—No. (%) | Not Very Likely—No. (%) | Likely—No. (%) | Very Likely—No. (%) |
|---|---|---|---|---|
| Vomiting | 134 (15.8) | 295 (34.7) | 299 (35.2) | 122 (14.4) |
| Behavioral issues | 140 (16.5) | 289 (34.0) | 280 (32.9) | 141 (16.6) |
| Diarrhea | 132 (15.5) | 306 (36.0) | 250 (29.4) | 162 (19.1) |
| Weight gain | 120 (14.1) | 324 (38.1) | 249 (29.3) | 157 (18.5) |
| Increased drinking | 123 (14.5) | 300 (35.3) | 272 (32.0) | 155 (18.2) |
| Skin irritations | 101 (11.9) | 230 (27.1) | 354 (41.6) | 165 (19.4) |
| Weight loss | 98 (11.5) | 214 (25.2) | 314 (36.9) | 224 (26.4) |
| Respiratory problems | 98 (11.5) | 189 (22.2) | 314 (36.9) | 249 (29.3) |
| Inactive/lethargic | 103 (12.1) | 176 (20.7) | 313 (36.8) | 258 (30.4) |
| Joint pain | 93 (10.9) | 152 (17.9) | 322 (37.9) | 283 (33.3) |
| Skin growths | 85 (10.0) | 161 (18.9) | 313 (36.8) | 291 (34.2) |
| Limping | 99 (11.6) | 138 (16.2) | 307 (36.1) | 306 (36.0) |
| Ear infection | 88 (10.4) | 145 (17.1) | 307 (36.1) | 310 (36.5) |
| Bladder problems | 97 (11.4) | 122 (14.4) | 284 (33.4) | 347 (40.8) |
| Eye infection | 94 (11.1) | 127 (14.9) | 260 (30.6) | 369 (43.4) |
| Trauma | 76 (8.9) | 123 (14.5) | 202 (23.8) | 449 (52.8) |
| Ingested poisonous substance | 83 (9.8) | 108 (12.7) | 207 (24.4) | 452 (53.2) |
| End of life care | 82 (9.6) | 115 (13.5) | 191 (22.5) | 462 (54.4) |
Table 4.
Human–animal relationship descriptions identified by demographic criteria.
| Human–Animal Relationship No. (%) | |||||
|---|---|---|---|---|---|
| Characteristic 1 | Property | Working Dog | Service Dog | Friend and/or Companion | Family Member |
| Gender (χ2(4) = 42.834, p ≤ 0.001) | |||||
| Male | 116 (23.2) | 35 (7.0) | 17 (3.4) | 149 (29.9) | 182 (36.5) |
| Female | 43 (12.5) | 12 (3.5) | 14 (4.1) | 75 (21.9) | 199 (58.0) |
| Race/Ethnicity (χ2(16) = 44.668, p ≤ 0.001) | |||||
| White or Caucasian | 94 (18.0) | 20 (3.8) | 17 (3.3) | 136 (26.0) | 256 (48.9) |
| Hispanic, Latino or Spanish origin | 12 (15.4) | 2 (2.6) | 4 (5.1) | 32 (41.0) | 28 (35.9) |
| Black or African American | 39 (24.4) | 18 (11.3) | 6 (3.8) | 40 (25.0) | 57 (35.6) |
| Native American or American Indian | 9 (25.0) | 5 (13.9) | 2 (5.6) | 9 (25.0) | 11 (30.6) |
| Asian | 5 (11.1) | 2 (4.4) | 2 (4.4) | 7 (15.6) | 29 (64.4) |
| Household Income (χ2(28) = 49.178, p = 0.008) | |||||
| ≤$24,999 | 9 (12.2) | 5 (6.8) | 4 (5.4) | 19 (25.7) | 37 (50.0) |
| $25,000–$39,999 | 22 (17.1) | 8 (6.2) | 9 (4.7) | 38 (29.5) | 52 (40.3) |
| $40,000–$59,999 | 54 (21.9) | 14 (5.7) | 6 (2.4) | 65 (26.3) | 108 (43.7) |
| $60,000–$79,999 | 27 (15.3) | 12 (6.8) | 6 (3.4) | 55 (31.3) | 76 (43.2) |
| $80,000–$99,999 | 30 (27.3) | 7 (6.4) | 2 (1.8) | 29 (26.4) | 42 (38.2) |
| $100,000–$149,999 | 16 (21.1) | 0 (0.0) | 2 (2.6) | 16 (21.1) | 42 (55.3) |
| $150,000–$199,999 | 1 (5.6) | 0 (0.0) | 2 (11.1) | 2 (11.1) | 13 (72.2) |
| More than $200,000 | 0 (0.0) | 1 (8.3) | 0 (0.0) | 0 (0.0) | 11 (91.7) |
| Employment Status (χ2(20) = 49.178, p = 0.004) | |||||
| Employed full-time | 144 (21.8) | 40 (6.0) | 22 (3.3) | 180 (27.2) | 276 (41.7) |
| Employed part-time | 9 (11.4) | 3 (3.8) | 5 (6.3) | 23 (29.1) | 39 (49.4) |
| Self-employed | 4 (7.5) | 1 (1.9) | 3 (5.7) | 16 (30.2) | 29 (54.7) |
| Seeking opportunities | 1 (7.7) | 1 (7.7) | 0 (0.0) | 1 (7.7) | 10 (76.9) |
| Student | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (14.3) | 12 (85.7) |
| Retired | 1 (4.8) | 2 (9.5) | 1 (4.8) | 2 (9.5) | 15 (71.4) |
| Highest Level of Education (χ2(16) = 64.552, p ≤ 0.001) | |||||
| High school graduate, diploma or equivalent | 4 (9.5) | 2 (4.8) | 1 (2.4) | 12 (28.6) | 23 (54.8) |
| Some college credit, no degree | 5 (5.7) | 1 (1.1) | 1 (1.1) | 25 (28.7) | 55 (63.2) |
| Associate degree | 9 (14.5) | 2 (3.2) | 0 (0.0) | 9 (14.5) | 42 (67.7) |
| Bachelor’s degree | 81 (18.8) | 31 (7.2) | 22 (5.1) | 136 (31.6) | 161 (37.4) |
| Master’s degree | 56 (28.1) | 10 (5.0) | 7 (3.5) | 36 (18.1) | 90 (45.2) |
1 Data not presented for characteristics with non-significant findings.
Table 5.
Dog owners’ indication of whether they vaccinated their dog for rabies by demographics.
| Characteristic 1 | Yes No. (%) | No No. (%) |
|---|---|---|
| Race/Ethnicity (χ2(4) = 17.046, p = 0.002) | ||
| White or Caucasian | 440 (86.8) | 67 (13.2) |
| Hispanic, Latino or Spanish Origin | 67 (87.0) | 10 (13.0) |
| Black or African American | 130 (83.3) | 26 (16.7) |
| Native American or American Indian | 20 (62.5) | 12 (37.5) |
| Asian | 40 (93.0) | 3 (7.0) |
| Region (χ2(3) = 9.756, p = 0.021) | ||
| Midwest | 135 (93.8) | 9 (6.3) |
| Northeast | 140 (84.3) | 26 (15.7) |
| South | 261 (83.1) | 53 (16.9) |
| West | 161 (84.3) | 30 (15.7) |
| Household Income (χ2(7) = 17.715, p = 0.013) | ||
| ≤$24,999 | 51 (77.3) | 15 (22.7) |
| $25,000–$39,999 | 111 (90.2) | 12 (9.8) |
| $40,000–$59,999 | 192 (79.7) | 49 (20.3) |
| $60,000–$79,999 | 152 (88.4) | 20 (11.6) |
| $80,000–$99,999 | 95 (88.8) | 12 (11.2) |
| $100,000–$149,999 | 68 (89.5) | 8 (10.5) |
| $150,000–$199,999 | 16 (88.9) | 2 (11.1) |
| More than $200,000 | 12 (100.0) | 0 (0.0) |
| Age (χ2(4) = 23.714, p ≤ 0.001) | ||
| 18–29 years | 177 (76.6) | 54 (23.4) |
| 30–39 years | 266 (87.8) | 37 (12.2) |
| 40–49 years | 141 (88.1) | 19 (11.9) |
| 50–59 years | 75 (91.5) | 7 (8.5) |
| ≥60 years | 38 (97.4) | 1 (2.6) |
| Highest Level of Education (χ2(4) = 18.205, p ≤ 0.001) | ||
| High school graduate, diploma or equivalent | 36 (85.7) | 6 (14.3) |
| Some college credit, no degree | 81 (96.4) | 3 (3.6) |
| Associate degree | 58 (96.7) | 2 (3.3) |
| Bachelor’s degree | 346 (83.4) | 69 (16.6) |
| Master’s degree | 157 (81.3) | 36 (18.7) |
1 Data not presented for characteristics with non-significant findings.
Table 6.
Dog owners that visited the veterinarian within the past 18 months by demographics.
| Characteristic 1 | Yes No. (%) | No No. (%) |
|---|---|---|
| Household Income (χ2(7) = 27.689, p ≤ 0.001) | ||
| ≤$24,999 | 45 (60.8) | 29 (39.2) |
| $25,000–$39,999 | 93 (72.1) | 36 (27.9) |
| $40,000–$59,999 | 180 (72.9) | 67 (27.1) |
| $60,000–$79,999 | 139 (79.0) | 37 (21.0) |
| $80,000–$99,999 | 90 (81.8) | 20 (18.2) |
| $100,000–$149,999 | 70 (92.1) | 6 (7.9) |
| $150,000–$199,999 | 16 (88.9) | 2 (11.1) |
| More than $200,000 | 10 (83.3) | 2 (16.7) |
| Age (χ2(4) = 13.762, p = 0.008) | ||
| 18–29 years | 175 (72.6) | 66 (27.4) |
| 30–39 years | 228 (72.8) | 85 (27.2) |
| 40–49 years | 132 (80.5) | 32 (19.5) |
| 50–59 years | 72 (85.7) | 12 (14.3) |
| ≥60 years | 36 (90.0) | 4 (10.0) |
| Highest Level of Education (χ2(4) = 14.278, p = 0.006) | ||
| High school graduate, diploma or equivalent | 24 (57.1) | 18 (42.9) |
| Some college credit, no degree | 65 (74.7) | 22 (25.3) |
| Associate degree | 43 (69.4) | 19 (30.6) |
| Bachelor’s degree | 346 (80.3) | 85 (19.7) |
| Master’s degree | 154 (77.4) | 45 (22.6) |
1 Data not presented for characteristics with non-significant findings.
Table 7.
Veterinary services utilized by dog owners within the past 18 months across demographics.
| Veterinary Service | |||||
|---|---|---|---|---|---|
| Characteristic 1 | Annual Checkup | Vaccinations | Seeking Medications | Dental Care | Other |
| Gender | - | - | - | - | (χ2(1) = 8.140, p = 0.004) |
| Male | 285 (57.1) | 252 (50.5) | 162 (32.5) | 81 (16.2) | 7 (1.4) |
| Female | 203 (59.2) | 194 (56.6) | 126 (36.7) | 62 (18.1) | 16 (4.7) |
| Household Income | (χ2(7) = 24.647, p ≤ 0.001) | (χ2(7) = 28.712, p ≤ 0.001) | (χ2(7) = 19.628, p = 0.006) | (χ2(5) = 12.373, p = 0.03) | (χ2(7) = 16.656, p = 0.02) |
| ≤$24,999 | 36 (48.6) | 28 (37.8) | 21 (28.4) | 9 (12.2) | 1 (1.4) |
| $25,000–$39,999 | 64 (49.6) | 69 (53.5) | 45 (34.9) | 19 (14.7) | 5 (3.9) |
| $40,000–$59,999 | 132 (53.4) | 113 (45.7) | 65 (26.3) | 35 (14.2) | 5 (2.0) |
| $60,000–$79,999 | 107 (60.8) | 95 (54.0) | 62 (35.2) | 36 (20.5) | 4 (2.3) |
| $80,000–$99,999 | 68 (61.8) | 66 (60.0) | 43 (39.1) | 21 (19.1) | 1 (0.9) |
| $100,000–$149,999 | 59 (77.6) | 56 (73.7) | 37 (48.7) | 15 (19.7) | 5 (6.6) |
| $150,000–$199,999 | 13 (72.2) | 11 (61.1) | 9 (50.0) | 4 (22.2) | 0 (0.0) |
| More than $200,000 | 9 (75.0) | 8 (66.7) | 6 (50.0) | 4 (33.3) | 2 (16.7) |
| Age | - | (χ2(4) = 10.695, p = 0.03) | (χ2(4) = 16.066, p = 0.003) | (χ2(4) = 10.082, p = 0.039) | - |
| 18–29 years | 127 (52.7) | 117 (48.5) | 74 (30.7) | 28 (11.6) | 9 (3.7) |
| 30–39 years | 180 (57.5) | 158 (50.5) | 104 (33.2) | 58 (18.5) | 5 (1.6) |
| 40–49 years | 97 (59.1) | 90 (54.9) | 54 (32.9) | 27 (16.5) | 3 (1.8) |
| 50–59 years | 56 (66.7) | 56 (66.7) | 31 (36.9) | 20 (23.8) | 5 (6.0) |
| ≥ 60 years | 28 (70.0) | 25 (62.5) | 25 (62.5) | 10 (25.0) | 1 (2.5) |
| Employment Status | - | - | - | - | (χ2(5) = 11.676, p = 0.04) |
| Employed full-time | 377 (56.9) | 350 (52.9) | 218 (32.9) | 107 (16.2) | 13 (2.0) |
| Employed part-time | 50 (63.3) | 46 (58.2) | 32 (40.5) | 22 (27.8) | 3 (3.8) |
| Self-employed | 28 (52.8) | 27 (50.9) | 18 (34.0) | 4 (7.5) | 4 (7.5) |
| Seeking opportunities | 9 (69.2) | 6 (46.2) | 5 (38.5) | 2 (15.4) | 1 (7.7) |
| Student | 10 (71.4) | 5 (35.7) | 7 (50.0) | 2 (14.3) | 0 (0.0) |
| Retired | 14 (66.7) | 12 (57.1) | 8 (38.1) | 6 (28.6) | 2 (9.5) |
| Highest Level of Education | - | (χ2(4) = 12.012, p = 0.017) | - | - | - |
| High school graduate, diploma or equivalent | 19 (45.2) | 14 (33.3) | 10 (23.8) | 3 (7.1) | 0 (0.0) |
| Some college credit, no degree | 51 (58.6) | 44 (50.6) | 26 (29.9) | 13 (14.9) | 7 (8.0) |
| Associate degree | 37 (59.7) | 38 (61.3) | 19 (30.6) | 7 (11.3) | 2 (3.2) |
| Bachelor’s degree | 252 (58.5) | 246 (57.1) | 154 (35.7) | 73 (16.9) | 9 (2.1) |
| Master’s degree | 119 (59.8) | 99 (49.7) | 76 (38.2) | 44 (22.1) | 4 (2.0) |
1 Data not presented for characteristics with non-significant findings.
Table 8.
Type of veterinarian used by dog owners across demographics.
| Veterinarian Type No. (%) | |||||
|---|---|---|---|---|---|
| Characteristic 1 | Veterinary Clinic, Hospital or Vet Who Does House Calls | Mobile Facility or Van | Animal Shelter or Humane Society | County, City or Publicly Sponsored Clinic | Pet Superstore or Pet Shop |
| Gender | - | - | (χ2(1) = 11.351, p ≤ 0.001) | (χ2(1) = 3.953, p = 0.047) | - |
| Male | 292 (58.5) | 88 (17.6) | 127 (25.5) | 64 (12.8) | 57 (11.4) |
| Female | 223 (65.0) | 45 (13.1) | 54 (15.7) | 29 (8.5) | 32 (9.3) |
| Race/Ethnicity | (χ2(4) = 18.730, p ≤ 0.001) | (χ2(4) = 16.705, p = 0.002) | (χ2(4) = 51.718, p ≤ 0.001) | (χ2(4) = 18.478, p ≤ 0.001) | (χ2(4) = 14.451, p = 0.006) |
| White or Caucasian | 346 (66.2) | 66 (12.6) | 79 (15.1) | 44 (8.4) | 39 (7.5) |
| Hispanic, Latino or Spanish origin | 40 (51.3) | 15 (19.2) | 19 (24.4) | 12 (15.4) | 11 (14.1) |
| Black or African American | 80 (50.0) | 36 (22.5) | 62 (38.8) | 31 (19.4) | 26 (16.3) |
| Native American or American Indian | 19 (52.8) | 11 (30.6) | 15 (41.7) | 4 (11.1) | 6 (16.7) |
| Asian | 30 (66.7) | 5 (11.1) | 6 (13.3) | 2 (4.4) | 7 (15.6) |
| Region | (χ2(3) = 9.788, p = 0.02) | - | (χ2(3) = 16.918, p ≤ 0.001) | - | - |
| Midwest | 99 (66.0) | 27 (18.0) | 25 (16.7) | 17 (11.3) | 11 (7.3) |
| Northeast | 93 (54.7) | 31 (18.2) | 49 (28.8) | 19 (11.2) | 18 (10.6) |
| South | 211 (65.7) | 43 (13.4) | 52 (16.2) | 27 (8.4) | 29 (9.0) |
| West | 112 (55.7) | 32 (15.9) | 55 (27.4) | 30 (14.9) | 31 (15.4) |
| Household Income | (χ2(7) = 34.056, p ≤ 0.001) | - | (χ2(7) = 14.291, p = 0.047) | - | - |
| ≤$24,999 | 32 (45.3) | 9 (12.2) | 14 (18.9) | 7 (9.5) | 3 (4.1) |
| $25,000–$39,999 | 71 (55.0) | 24 (18.6) | 33 (25.6) | 14 (10.9) | 9 (7.0) |
| $40,000–$59,999 | 140 (56.7) | 48 (19.4) | 66 (26.7) | 30 (12.1) | 27 (10.9) |
| $60,000–$79,999 | 111 (63.1) | 19 (10.8) | 34 (19.3) | 19 (10.8) | 27 (15.3) |
| $80,000–$99,999 | 76 (69.1) | 17 (15.5) | 23 (20.9) | 16 (14.5) | 10 (9.1) |
| $100,000–$149,999 | 62 (81.6) | 12 (15.8) | 9 (11.8) | 6 (7.9) | 11 (14.5) |
| $150,000–$199,999 | 13 (72.2) | 3 (16.7) | 1 (5.6) | 0 (0.0) | 1 (5.6) |
| More than $200,000 | 10 (83.3) | 1 (8.3) | 1 (8.3) | 1 (8.3) | 1 (8.3) |
| Age | (χ2(4) = 14.257, p = 0.007) | - | - | - | - |
| 18–29 years | 137 (56.8) | 42 (17.4) | 50 (20.7) | 26 (10.8) | 22 (9.1) |
| 30–39 years | 179 (57.2) | 41 (13.1) | 58 (18.5) | 35 (11.2) | 36 (11.5) |
| 40–49 years | 107 (65.2) | 33 (20.1) | 47 (28.7) | 21 (12.8) | 19 (11.6) |
| 50–59 years | 61 (72.6) | 12 (14.3) | 17 (20.2) | 7 (8.3) | 8 (9.5) |
| ≥60 years | 31 (77.5) | 5 (12.5) | 9 (22.5) | 4 (10.0) | 4 (10.0) |
| Highest Level of Education | - | (χ2(4) = 25.234, p ≤ 0.001) | (χ2(4) = 28.172, p ≤ 0.001) | (χ2(4) = 21.162, p ≤ 0.001) | (χ2(4) = 12.347, p = 0.015) |
| High school graduate, diploma or equivalent | 21 (50.0) | 1 (2.4) | 5 (11.9) | 5 (11.9) | 3 (7.1) |
| Some college credit, no college | 58 (66.7) | 3 (3.4) | 5 (5.7) | 4 (4.6) | 2 (2.3) |
| Associate degree | 34 (54.8) | 5 (8.1) | 7 (11.3) | 3 (4.8) | 4 (6.5) |
| Bachelor’s degree | 273 (63.3) | 87 (20.2) | 105 (24.4) | 42 (9.7) | 50 (11.6) |
| Master’s degree | 118 (59.3) | 37 (18.6) | 59 (29.6) | 39 (19.6) | 30 (15.1) |
1 Data not presented for characteristics with non-significant findings.
Table 9.
Barriers identified that make seeking veterinary care challenging by demographic criteria.
| Barriers | ||||||||
|---|---|---|---|---|---|---|---|---|
| Characteristic 1 | Cost | Transportation | Hours of Operation | Language Differences | Lack of trust in Veterinarians | Dog Owner Vaccines/Provides Healthcare to Their Dog Themselves | Not Necessary | No Barriers Prevent Seeking Veterinary Care |
| Gender | - | - | - | - | (χ2(2) = 5.132, p = 0.023) | - | - | - |
| Male | 249 (49.9) | 148 (29.7) | 158 (31.7) | 74 (14.8) | 105 (21.0) | 73 (14.6) | 39 (7.8) | 113 (22.6) |
| Female | 169 (49.3) | 84 (24.5) | 101 (29.4) | 38 (11.1) | 51 (14.9) | 40 (11.7) | 24 (7.0) | 80 (23.3) |
| Race/Ethnicity | - | (χ2(4) = 33.335, p ≤ 0.001) | (χ2(4) = 14.825, p = 0.005) | (χ2(4) = 58.471, p ≤ 0.001) | (χ2(4) = 17.571, p ≤ 0.001) | (χ2(4) = 34.223, p ≤ 0.001) | (χ2(4) = 12.005, p = 0.017) | (χ2(4) = 15.119, p = 0.004) |
| White or Caucasian | 255 (48.9) | 114 (21.8) | 137 (26.3) | 44 (8.4) | 79 (15.3) | 51 (9.7) | 28 (5.3) | 142 (27.1) |
| Hispanic, Latino or Spanish origin | 39 (50.0) | 23 (29.5) | 26 (33.3) | 9 (11.5) | 13 (16.7) | 9 (11.5) | 6 (7.7) | 11 (14.1) |
| Black or African American | 76 (47.5) | 66 (41.3) | 66 (41.3) | 44 (27.5) | 44 (27.5) | 43 (26.9) | 18 (11.3) | 25 (15.6) |
| Native American or American Indian | 20 (55.6) | 18 (50.0) | 13 (36.1) | 13 (36.1) | 12 (33.3) | 7 (19.4) | 6 (16.7) | 5 (13.9) |
| Asian | 28 (62.2) | 11 (24.4) | 17 (37.8) | 2 (4.4) | 8 (17.8) | 3 (6.7) | 5 (11.1) | 10 (22.2) |
| Household Income | (χ2(7) = 14.245, p = 0.047) | (χ2(7) = 31.141, p ≤ 0.001) | (χ2(7) = 17.71, p = 0.013) | - | - | - | - | (χ2(7) = 36.767, p ≤ 0.001) |
| ≤$24,999 | 47 (63.5) | 15 (20.3) | 12 (16.2) | 9 (12.2) | 10 (13.5) | 10 (13.5) | 3 (4.1) | 11 (14.9) |
| $25,000–$39,999 | 70 (54.3) | 40 (31.0) | 46 (35.7) | 15 (11.6) | 31 (24.0) | 17 (13.2) | 6 (4.7) | 21 (16.3) |
| $40,000–$59,999 | 128 (51.8) | 96 (38.9) | 81 (32.8) | 42 (17.0) | 50 (20.2) | 45 (18.2) | 23 (9.3) | 40 (16.2) |
| $60,000–$79,999 | 77 (43.8) | 35 (19.9) | 45 (25.6) | 15 (8.5) | 29 (16.5) | 15 (8.5) | 15 (8.5) | 50 (28.4) |
| $80,000–$99,999 | 52 (47.3) | 29 (26.4) | 44 (40.0) | 16 (14.5) | 21 (19.1) | 14 (12.7) | 11 (10.0) | 28 (25.5) |
| $100,000–$149,999 | 33 (43.4) | 13 (17.1) | 22 (28.9) | 13 (17.1) | 11 (14.5) | 8 (10.5) | 3 (3.9) | 29 (38.2) |
| $150,000–$199,999 | 8 (44.4) | 2 (11.1) | 7 (38.9) | 1 (5.6) | 2 (11.1) | 3 (16.7) | 1 (5.6) | 7 (38.9) |
| More than $200,000 | 3 (25.0) | 2 (16.7) | 2 (16.7) | 1 (8.3) | 2 (16.7) | 1 (8.3) | 1 (8.3) | 7 (58.3) |
| Age | (χ2(4) = 11.935, p = 0.018) | - | (χ2(4) = 14.076, p = 0.007) | - | - | - | - | - |
| 18–29 years | 142 (58.9) | 66 (27.4) | 94 (39.0) | 29 (12.0) | 45 (18.7) | 29 (12.0) | 26 (10.8) | 43 (17.8) |
| 30–39 years | 147 (47.0) | 83 (26.5) | 94 (30.0) | 41 (13.1) | 53 (16.9) | 37 (11.8) | 20 (6.4) | 76 (24.3) |
| 40–49 years | 74 (45.1) | 49 (29.9) | 41 (25.0) | 24 (14.6) | 35 (21.3) | 28 (17.1) | 10 (6.1) | 39 (23.8) |
| 50–59 years | 37 (44.0) | 26 (31.0) | 23 (27.4) | 10 (11.9) | 13 (15.5) | 12 (14.3) | 3 (3.6) | 20 (23.8) |
| ≥60 years | 18 (45.0) | 8 (20.0) | 7 (17.5) | 8 (20.0) | 10 (25.0) | 7 (17.5) | 4 (10.0) | 15 (37.5) |
| Geographical Region | (χ2(3) = 12.586, p = 0.006) | - | - | - | - | - | - | - |
| Midwest | 82 (54.7) | 41 (27.3) | 47 (31.3) | 17 (11.3) | 24 (16.0) | 14 (9.3) | 8 (5.3) | 37 (24.7) |
| Northeast | 64 (37.6) | 50 (29.4) | 42 (24.7) | 27 (15.9) | 35 (20.6) | 24 (14.1) | 11 (6.5) | 32 (18.8) |
| South | 168 (52.3) | 76 (23.7) | 106 (33.0) | 37 (11.5) | 54 (16.8) | 41 (12.8) | 25 (7.8) | 78 (24.3) |
| West | 104 (51.7) | 65 (32.3) | 64 (31.8) | 31 (15.4) | 43 (21.4) | 34 (16.9) | 19 (9.5) | 46 (22.9) |
| Employment Status | - | - | (χ2(5) = 14.552, p = 0.012) | (χ2(5) = 12.931, p = 0.012) | - | - | - | - |
| Employed full-time | 317 (47.9) | 196 (29.6) | 216 (32.6) | 102 (15.4) | 135 (20.4) | 96 (14.5) | 54 (8.2) | 147 (22.2) |
| Employed part-time | 39 (49.4) | 20 (25.3) | 25 (31.6) | 6 (7.6) | 13 (16.5) | 10 (12.7) | 5 (6.3) | 21 (26.6) |
| Self-employed | 34 (64.2) | 10 (18.9) | 13 (24.5) | 3 (5.7) | 3 (5.7) | 3 (5.7) | 1 (1.9) | 9 (17.0) |
| Seeking opportunities | 7 (53.8) | 2 (15.4) | 0 (0.0) | 0 (0.0) | 2 (15.4) | 0 (0.0) | 2 (15.4) | 4 (30.8) |
| Student | 11 (78.6) | 2 (14.3) | 4 (28.6) | 0 (0.0) | 2 (14.3) | 0 (0.0) | 0 (0.0) | 2 (14.3) |
| Retired | 10 (47.6) | 2 (9.5) | 1 (4.8) | 1 (4.8) | 1 (4.8) | 4 (19.0) | 1 (4.8) | 10 (47.6) |
| Highest Level of Education | (χ2(4) = 29.458, p ≤ 0.001) | (χ2(4) = 30.810, p ≤ 0.001) | - | (χ2(4) = 31.463, p ≤ 0.001) | (χ2(4) = 19.461, p ≤ 0.001) | (χ2(4) = 32.591, p ≤ 0.001) | - | - |
| High school graduate, diploma or equivalent | 24 (57.1) | 10 (23.8) | 15 (35.7) | 4 (9.5) | 6 (14.3) | 2 (4.8) | 4 (9.5) | 11 (26.2) |
| Some college credit, no degree | 62 (71.3) | 7 (8.0) | 24 (27.6) | 1 (1.1) | 9 (10.3) | 3 (3.4) | 3 (3.4) | 17 (19.5) |
| Associate degree | 37 (59.7) | 8 (12.9) | 14 (22.6) | 2 (3.2) | 6 (9.7) | 6 (9.7) | 7 (11.3) | 17 (7.4) |
| Bachelor’s degree | 203 (47.1) | 135 (31.3) | 133 (30.9) | 60 (13.9) | 78 (18.1) | 52 (12.1) | 25 (5.8) | 87 (20.2) |
| Master’s degree | 78 (39.2) | 68 (34.2) | 69 (34.7) | 45 (22.6) | 56 (28.1) | 49 (24.6) | 21 (10.6) | 55 (27.6) |
1 Data not presented for characteristics with non-significant findings.
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Park, R.M.; Gruen, M.E.; Royal, K. Association between Dog Owner Demographics and Decision to Seek Veterinary Care. Vet. Sci. 2021, 8, 7. https://doi.org/10.3390/vetsci8010007
AMA Style
Park RM, Gruen ME, Royal K. Association between Dog Owner Demographics and Decision to Seek Veterinary Care. Veterinary Sciences. 2021; 8(1):7. https://doi.org/10.3390/vetsci8010007
Chicago/Turabian StylePark, Rachel M., Margaret E. Gruen, and Kenneth Royal. 2021. "Association between Dog Owner Demographics and Decision to Seek Veterinary Care" Veterinary Sciences 8, no. 1: 7. https://doi.org/10.3390/vetsci8010007
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