Dataset Information

Recognition of diabetes and sociodemographic predictors: results of a cross-sectional nationwide population-based survey in Singapore.

ABSTRACT:

Objective

To assess recognition of diabetes among a nationally representative multiethnic sample of Singapore's general public. Also, to explore the sociodemographic predictors associated with the ability to correctly recognise diabetes.

Design and setting

This was a cross-sectional vignette-based survey. Respondents were instructed to read the vignette, then answer the open-ended question, 'What do you think the person in the vignette is suffering from?'

Participants

A sample of 2895 household residents aged 18 years and above, of which 436 were persons with diabetes.

Results

82.7% could correctly recognise diabetes in the vignette. Overall, recognition was significantly higher among respondents aged 35-49 years (OR 1.85, 95% CI 1.15 to 2.98), 50-64 years (OR 2.06, 95% CI 1.19 to 3.56), ethnic Malays (OR 1.39, 95% CI 1.02 to 1.89) and persons with diabetes (OR 2.64, 95% CI 1.38 to 5.08). By contrast, male (OR 0.64, 95% CI 0.46 to 0.90), ethnic Others (OR 0.59, 95% CI 0.37 to 0.93) and the unemployed (OR 0.48, 95% CI 0.25 to 0.92) were significantly associated with poor recognition of diabetes.

Conclusion

Overall public recognition of diabetes was high, but the significant gaps in knowledge in certain demographic groups were of concern. Public health interventions aimed at preventing and controlling diabetes should continue to target all members of the population with accurate and appropriate information. Ongoing efforts of diabetes awareness and screening programmes need to be improved, particularly for young adults, males and the unemployed.

SUBMITTER: Roystonn K

PROVIDER: S-EPMC8889315 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Publications

Recognition of diabetes and sociodemographic predictors: results of a cross-sectional nationwide population-based survey in Singapore.

Roystonn Kumarasan K Lau Jue Hua JH AshaRani P V PV Siva Kumar Fiona Devi FD Wang Peizhi P Sum Chee Fang CF Lee Eng Sing ES Chong Siow Ann SA Subramaniam Mythily M

BMJ open 20220301 3

<h4>Objective</h4>To assess recognition of diabetes among a nationally representative multiethnic sample of Singapore's general public. Also, to explore the sociodemographic predictors associated with the ability to correctly recognise diabetes.<h4>Design and setting</h4>This was a cross-sectional vignette-based survey. Respondents were instructed to read the vignette, then answer the open-ended question, 'What do you think the person in the vignette is suffering from?'<h4>Participants</h4>A sam ...[more]

PMID: 35232779

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Dataset Information

Recognition of diabetes and sociodemographic predictors: results of a cross-sectional nationwide population-based survey in Singapore.

Objective

Design and setting

Participants

Results

Conclusion

Publications

Recognition of diabetes and sociodemographic predictors: results of a cross-sectional nationwide population-based survey in Singapore.

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