| Literature DB >> 35768683 |
Marycon Chin Jiro1,2, Michael Sigua3, Susan L Ivey4,3, Marlon Maus3, Lauren Hennein5, Migel Dio3, Jennifer Cocohoba6.
Abstract
Filipino-Americans are the third largest Asian-American population, with a median age of 44. However, there is limited literature focusing on the group's ophthalmic care engagement. Timely eye examinations and outreach are necessary to reduce visual impairment in this older community. To assess eye care knowledge, attitudes, and practices, we conducted a cross-sectional study surveying Filipino-Americans within the nine San Francisco Bay Area counties. Associations between primary outcomes and sociodemographic factors were analyzed using chi-squared analysis and student's T-test. In our convenience sample of 256 surveys, a majority of participants are receiving appropriate eye care; those that lacked health and eye insurance, immigrated and are lower income did not receive optimal eye care. Study participants also demonstrated a lack of awareness of eye diseases and risk factors. Our results suggest that culturally sensitive eye health education materials are lacking and should be made accessible for this large and rapidly growing population.Entities:
Keywords: Cultural messaging; Eye care, knowledge, attitudes, and practices; Eye diseases; Filipino-American; Health Disparities
Year: 2022 PMID: 35768683 PMCID: PMC9244114 DOI: 10.1007/s10903-022-01371-3
Source DB: PubMed Journal: J Immigr Minor Health ISSN: 1557-1912
Fig. 1Participant recruitment process. Participants were recruited by researchers along with the help of community organizations who promoted the study to their client base through virtual and physical flyers
Fig. 2Respondents’ eye diseases knowledge of those born in the Philippines vs. born in the U.S. *P-value < 0.05 comparing U.S. and Philippines born
Eye disease knowledge and attitudes by birthplace
| Total (n = 256, %; somewhat or strongly agree) | Born in the Philippines (%) | Born in the United States (%) | p-value | |
|---|---|---|---|---|
| Diabetes is associated with greater risk of eye disease | 63.1 | 71.2 | 59.4 | |
| Hypertension is associated with greater risk of eye disease | 63.7 | 81.1 | 56.7 | |
| Smoking is associated with greater risk of eye disease | 36.4 | 63.5 | 24.9 | |
| Good overall health is important for good eye health | 42.0 | 63.5 | 32.2 | |
| Good eye health is important for good overall health | 56.0 | 69.9 | 50.6 |
Bold values highlight the statistically significant numbers
*p-value < 0.05
Fig. 3How important is it to you that you have an eye doctor?
Fig. 4How important is vision to you?
Fig. 5How much of the time do you worry about your eyesight?
Demographic characteristics of survey respondents by recent eye exam
| Total | Received an Eye Exam ≤ 1 year | Did not receive an Eye Exam ≤ 1 year | p-value | |
|---|---|---|---|---|
| Gender (n = 256, %) | 0.64 | |||
| Female | 23.4 | 22.8 | 26.1 | |
| Male | 76.6 | 77.2 | 73.9 | |
| Age (n = 256, years, %) | 0.28 | |||
| 40–54 | 85.6 | 86.1 | 82.1 | |
| 55–64 | 12.1 | 11.0 | 17.0 | |
| 65 + | 2.3 | 2.9 | 0.0 | |
| Has PCP (n = 256, %) | ||||
| No | 13.1 | 10.0 | 26.7 | |
| Yes | 86.9 | 90.0 | 73.3 | |
| County (n = 256, %) | 0.81 | |||
| Alameda | 11.3 | 11.0 | 12.8 | |
| Contra Costa | 4.7 | 4.8 | 4.3 | |
| Marin | 3.5 | 4.3 | 0.0 | |
| Napa | 5.5 | 4.8 | 8.5 | |
| San Francisco | 50.4 | 51.7 | 44.7 | |
| San Mateo | 9.4 | 8.6 | 12.8 | |
| Santa Clara | 8.6 | 8.1 | 10.6 | |
| Solano | 4.7 | 4.8 | 4.3 | |
| Sonoma | 2.0 | 1.9 | 2.1 | |
| Immigration status (n = 255, %) | 0.64 | |||
| Born in the U.S | 70.6 | 71.5 | 68.1 | |
| Philippines (n = 69) | 29.1 | 28.5 | 31.9 | |
| 36.2 | 29.3 | 72.7 | ||
| 63.8 | 70.7 | 27.3 | ||
| Acculturation (n = 256, mean) | 0.07 | |||
| Acculturation Score | 32.5 | 32.8 | 31.1 | |
| Employment status (n = 253, %) | 0.45 | |||
| Employed full-time | 60.5 | 63.0 | 59.9 | |
| Employed part-time | 2.4 | 2.9 | 0.0 | |
| Unemployed | 15.8 | 15.0 | 19.6 | |
| Self-employed | 7.9 | 7.3 | 10.9 | |
| Disabled | 4.7 | 5.8 | 0.0 | |
| Military | 0.8 | 0.97 | 0.0 | |
| Retired | 7.9 | 8.2 | 6.5 | |
| Education (n = 253, %) | 0.70 | |||
| None completed | 0 | 0.0 | 0.0 | |
| Some high school | 0.4 | 0.5 | 0.0 | |
| Graduated high school | 12.3 | 11.2 | 17.0 | |
| Trade/Tech/Vocational Training | 25.3 | 25.2 | 25.5 | |
| Associate’s degree | 32.0 | 34.0 | 23.4 | |
| Some college, less than 4 years | 14.6 | 13.6 | 19.2 | |
| Bachelor’s degree or equivalent | 11.9 | 11.7 | 12.8 | |
| Graduate school started or completed | 3.6 | 3.9 | 2.1 | |
| Total household income (n = 249, %) | 0.70 | |||
| Less than $50,000 | 12.9 | 11.9 | 17.0 | |
| $50,000 to $99,999 | 65.5 | 66.8 | 59.6 | |
| $100,000 to $149,999 | 14.5 | 13.9 | 17.0 | |
| Greater than $150,000 | 7.2 | 7.4 | 6.4 | |
| Eye insurance (n = 256, %) | ||||
| Not insured | 14.4 | 12.1 | 25.0 | |
| Insured | 85.6 | 87.9 | 75.0 | |
| Health insurance status (n = 256, %) | 0.44 | |||
| Not insured | 4.3 | 96.2 | 93.6 | |
| Insured | 95.7 | 3.8 | 6.4 | |
| 35.2 | – | – | ||
| | 39.5 | – | – | |
| 25.3 | – | – | ||
| Self reported health diagnoses (n = 256, %) | ||||
| Diabetes | 12.5 | – | – | |
| Hypertension | 51.2 | – | – | |
| Stroke | 14.8 | – | – | |
Bold values highlight the statistically significant numbers
*p-value < 0.05
Factors that affect receipt of eye dilation exam
| Have received an eye dilation exam | Never received an eye dilation exam (n = 19) | p-value | |
|---|---|---|---|
| Gender (%) | |||
| Female | 21.7 | 42.1 | |
| Male | 78.3 | 57.9 | |
| Age (n = 253, year, %) | |||
| 40–54 | 85.5 | 84.2 | |
| 55–64 | 12.8 | 5.3 | |
| 65 + | 1.7 | 10.5 | |
| PCP (n = 243, ta%) | |||
| No | 11.0 | 43.8 | |
| Yes | 89.0 | 56.3 | |
| Immigration status (n = 251, %) | 0.18 | ||
| Born in the U.S | 72.4 | 57.9 | |
| Born in the Philippines (n = 67/255) | 27.6 | 42.1 | |
| 27.1 | 87.5 | ||
| 72.9 | 12.5 | ||
| Acculturation score (mean) | 33 | 28 | |
| Household income (n = 246, %) | |||
| Less than $50,000 | 11.5 | 31.6 | |
| $50,000 to $99,999 | 65.6 | 63.2 | |
| $100,000 to $149,999 | 15.0 | 5.26 | |
| Greater than $150,000 | 7.9 | 0 | |
| Eye insurance (%) | |||
| Not Insured | 13.0 | 33.3 | |
| Insured | 87.0 | 66.7 | |
| Health insurance (n = 253, %) | |||
| Not Insured | 3.42 | 15.8 | |
| Insured | 96.6 | 84.2 | |
| 32.5 | 57.9 | – | |
| | 41.9 | 15.8 | - |
Bold values highlight the statistically significant numbers
*p-value < 0.05
Factors associated with having an eye examination within the last year
| Variable | Odds Ratio (95% CI) | p-value |
|---|---|---|
| Age ≥ 55 | 0.93 (0.31–2.84) | 0.9 |
| Male sex | 1.31 (0.58–2.96) | 0.51 |
| Having a PCP | 2.60 (1.01–6.64) | |
| Having eye insurance | 2.08 (0.79–5.49) | 0.14 |
| Self-reported diabetes | 0.59 (0.20–1.76) | 0.34 |
| Self-reported hypertension | 0.98 (0.47–2.04) | 0.96 |
Bold values highlight the statistically significant numbers
*p-value < 0.05