| Literature DB >> 28253872 |
Kimberly K Walker1,2, E Angeles Martínez-Mier3, Armando E Soto-Rojas3, Richard D Jackson3, Sarah M Stelzner4, Lorena C Galvez5, Gabriela J Smith6, Miriam Acevedo7, Laura Dandelet7, Dulce Vega7.
Abstract
BACKGROUND: Using community-based participatory research, the Health Protection Model was used to understand the cultural experiences, attitudes, knowledge and behaviors surrounding caries etiology, its prevention and barriers to accessing oral health care for children of Latino parents residing in Central Indiana.Entities:
Keywords: Child health; Community-based-participatory research; Focus groups; Latinos; Midwest; Oral health; Prevention
Mesh:
Year: 2017 PMID: 28253872 PMCID: PMC5335721 DOI: 10.1186/s12903-017-0354-9
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Demographics and associated quote examples
| Gender | ||||||
| Male | 30 | |||||
| Female | 100 | |||||
| Gender total | 130 | |||||
| Age | ||||||
| 18–23 | 31 | |||||
| 24–34 | 68 | |||||
| 35–44 | 19 | |||||
| 45–54 | 12 | |||||
| Age total | 130 | |||||
| Employed | ||||||
| Yes | 60 | |||||
| No | 70 | |||||
| Total employment | 130 | |||||
| Reside in U.S. | ||||||
| 1–2 years | 3 | |||||
| 3–6 years | 10 | |||||
| + 6 years | 117 | |||||
| Total reside in U.S. | 130 | |||||
| Number of children per household | Range = 1–5 | |||||
| Age of children | Range = 1.8 mths–13 | |||||
| Comment | Gender | Age of subject | Number of subject's children | Is subject employed? | Subject's employment | Time the subject has been living in the U.S. |
| “Infections happen when teeth are new because they (children) walk with friends or other children (and) because they share toys or candy.” | Female | 18–24 | 1–2 | Yes | Restaurant | <1 Year |
| “There are mothers who breastfeed but do not like it because they say your breasts drop. So they give them milk from the store and think that makes them benefit their children because milk now comes with vitamins; but the power of the mother is also best for the child.” | Female | 18–24 | 1–2 | Yes | Supermarket store | 3–5 Years |
| “The child is so small, so his teeth cannot be washed properly.” | Female | 25–34 | 3–4 | Yes | Cleaning service | 2–3 Years |
| “(I brush his teeth) maybe once or three times a week (when having) a mass of food buildup”. | Female | 25–35 | 1–2 | Yes | Restaurant | 2–3 Years |
| "I took his card and used his insurance. I did this because without insurance I could not afford it and I had to think about the responsibility I have towards my wife and kids." | Male | 18–24 | 3–4 | Yes | No answer | 1–2 Years |
| "We do not speak the language. If we have a problem and they (teeth) start to hurt, we cannot go to the dentist because of how we feel inhibited because we cannot speak English, not properly." | Male | 18–24 | 3–4 | Yes | Construction | 1–2 Years |
| "I stay with the same dentist and he told me that I could change all my fillings so that the teeth do not look like they had fillings. But he said I would not recommend because the amalgams had more resistance. So even if they look ugly at least I'm healthy. Much depends on the doctor." | Male | 18–24 | 3–4 | Yes | Discount store | 1–2 Years |
Fig. 1HPM variables for etiology and prevention. In Fig. 1, the middle descriptions represent the main cognitive themes encompassing etiology (lack of knowledge of signs) and prevention (lack of knowledge of sealants, fluoride, dental home, hygiene). It demonstrates that knowledge about nutrition overlaps both etiology and prevention. The lines to each cognitive theme show our particular data findings related to the HPM constructs of culture and affect and how they affect behavior outcomes (represented as lines away from circles). Here, fatalism (culture) and indifference (affect) lead to decreased cognitive recognition of oral disease, leading to less dental access and care. Mothers’ control over children’s health (culture) and father’s apathetic state (affect) affect understanding of controlling children’s diet (cognition), leading to poorer children’s nutrition when fathers care for children. Fatalism (culture) and apathy (affect) affect understanding of preventive practices, leading to poor oral preventive practices
Fig. 2HPM variables for main barriers. In Fig. 2, the middle squares represent the main cognitive barriers of finances and language. The lines to each barrier show how our particular data findings related to culture and emotions affect behavior outcomes (represented as lines away from squares). Here, fathers’ perceived financial responsibility (culture) and feelings of having to choose who gets oral care (affect) affect financial barriers that can lead to the behavioral outcome of poor oral care for either themselves or their children. Belief that dentists are in control and lack of comprehension of insurance (culture/experience) combined with frustrations (affect) affect communication barriers and access (outcomes)
Fig. 3Program education intervention model