Objective: This study aims to survey respiratory infectious disease related health literacy (RIDHL) and health behavior (RIDHB) among residents in Fengtai district, Beijing, analyze impact factors of RIDHL , explore the association between RIDHL and RIDHB.
Methods: Multistage sampling was employed and 1100 respondents were surveyed by self-designed questionnaires, which including social-demographic characteristics and evaluation of RIDHL and RIDHB. The survey results were described, the impact factors of RIDHL and the association between RIDHL and RIDHB were analyzed by analysis of variance or covariance.
Results: A total of 998 qualified questionnaires were recollected with the effective rate of 90.7%. The respondents aged from 15 to 65, scored (71.3 +/- 19.0) points in RIDHL test. Of those respondents, 25.7% (256/998), 43.2% (432/998) and 31.1% (310/998) were evaluated as low( <60 points), medium (60 - 85 points), and high level ( > 85 points) of RIDHL, respectively. There were significant difference in RIDHL scores between registered and non-registered residents, who scored (74.1 +/- 18.9) and (68.4 +/- 18.8) points, respectively (P < 0.01). RIDHL sections were ranked as audiovisual (77.6%, 4647/5988), internet using (75.2%, 2251/2994), reading (74.6%, 3724/4990), map using (68.3%, 4090/5988) and quantitative (65.5%, 5230/7984) according to the accurate rates from high to low. Analysis of variance or covariance showed that RIDHL scores were significantly different among respondents with different ages, nationalities, educational levels, occupations, and incomes (P < 0.01), yet no significant differences among those with different genders and marital status (P > 0.05). Respondents scored (69.7 +/- 15.5) points in RIDHB test. The RIDHB scores ((64.5 +/- 15.0), (70.4 +/- 15.6), (72.5 +/- 14.9) points, respectively) increased among residents with low, medium and high level of RIDHL (P < 0.01).
Conclusion: Residents in Fengtai district, Beijing possessed medium level of RIDHL. The non-registered residents showed lower RIDHL than registered residents. Ages, nationalities, educational levels, occupations, and incomes were impact factors of RIDHL. People with higher level of RIDHL also showed a higher level of RIDHB.