Sources of information on diabetes and its demographic correlates: a nationwide survey among Singapore residents

Summary Diabetes is a major public health concern in Singapore, and the Singapore Government declared a ‘War on Diabetes’, which included a nationwide public health campaign. It is important to identify what sources of diabetes information reach the general population, whether this differs by socio-demographic characteristics and if the sources of information influence knowledge of diabetes to aid the successful dissemination of health information. Two thousand eight hundred ninety-five respondents were part of a population-based cross-sectional study conducted from February 2019 to September 2020. Respondents rated on a five-point scale whether they had obtained information on diabetes from eight different information sources, and responses were dichotomized into ‘endorsed receiving information’ or ‘not endorsed receiving information’. Poisson regression models were conducted with the ‘endorsement of receiving information’ from each source as the outcome and socio-demographic variables as predictors. 95.9% of the study population had received information on diabetes from at least one source, and the mean number of sources was 4.2 ± 2.0. The leading source was media articles (82.1%), followed by health promotion videos/advertisements (77.9%), online websites (58.5%), books (56.5%), healthcare professionals (55.0%), radio (54.4%), public forums (27.7%) and support groups (15.5%). Endorsing a greater number of informational sources was associated with being younger, belonging to Malay or Indian instead of Chinese ethnicity, and having diabetes. An intensive nationwide diabetes awareness campaign successfully reached the public in Singapore with specific sources of information depending on socio-demographic characteristics. Findings suggest that diabetes information campaigns should utilize multiple channels for dissemination considering the different socio-demographic subgroups.

[1]  R. Dam,et al.  Health Literacy and Diabetes Knowledge: A Nationwide Survey in a Multi-Ethnic Population , 2021, International journal of environmental research and public health.

[2]  R. V. van Dam A Global Perspective on White Rice Consumption and Risk of Type 2 Diabetes , 2020, Diabetes Care.

[3]  Lai Meng Ow Yong,et al.  War on Diabetes in Singapore: a policy analysis , 2020, Health Research Policy and Systems.

[4]  R. V. van Dam,et al.  Study protocol for a nationwide Knowledge, Attitudes and Practices (KAP) survey on diabetes in Singapore’s general population , 2020, BMJ Open.

[5]  M. Torloni,et al.  Mass media campaigns to reduce unnecessary caesarean sections: a systematic review , 2020, BMJ Global Health.

[6]  H. Boomgaarden,et al.  What we do and don’t know: a meta-analysis of the knowledge gap hypothesis , 2019, Annals of the International Communication Association.

[7]  James Thomas,et al.  Mass media to communicate public health messages in six health topic areas: a systematic review and other reviews of the evidence , 2019, Public Health Research.

[8]  M. Franklin,et al.  Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification , 2018, BMC Medical Research Methodology.

[9]  Frank B. Hu,et al.  Global aetiology and epidemiology of type 2 diabetes mellitus and its complications , 2018, Nature Reviews Endocrinology.

[10]  P. Mitchell,et al.  Ethnic Differences in the Prevalence and Risk Factors of Diabetic Retinopathy: The Singapore Epidemiology of Eye Diseases Study. , 2017, Ophthalmology.

[11]  Martin O'Flaherty,et al.  Forecasting the burden of type 2 diabetes mellitus in Qatar to 2050: A novel modeling approach. , 2017, Diabetes research and clinical practice.

[12]  A. Icks,et al.  Diabetes-related information-seeking behaviour: a systematic review , 2017, Systematic Reviews.

[13]  Katherine Cántaro,et al.  Association between information sources and level of knowledge about diabetes in patients with type 2 diabetes. , 2016, Endocrinologia y nutricion : organo de la Sociedad Espanola de Endocrinologia y Nutricion.

[14]  Shu-Ling Hung,et al.  Predicting health-promoting self-care behaviors in people with pre-diabetes by applying Bandura social learning theory. , 2015, Applied nursing research : ANR.

[15]  K. Makrilakis,et al.  Information seeking behavior of patients with diabetes mellitus: a cross-sectional study in an outpatient clinic of a university-affiliated hospital in Athens, Greece , 2015, BMC Research Notes.

[16]  M. Boles,et al.  Ability of a mass media campaign to influence knowledge, attitudes, and behaviors about sugary drinks and obesity. , 2014, Preventive medicine.

[17]  Tien Yin Wong,et al.  Forecasting the burden of type 2 diabetes in Singapore using a demographic epidemiological model of Singapore , 2014, BMJ Open Diabetes Research and Care.

[18]  Xiaoquan Zhao Relationships Between Sources of Health Information and Diabetes Knowledge in the U.S. Hispanic Population , 2014, Health communication.

[19]  George Demiris,et al.  Examining Health Information–Seeking Behaviors of Older Adults , 2013, Computers, informatics, nursing : CIN.

[20]  G. Eng,et al.  Perceived unmet needs of informal caregivers of people with dementia in Singapore , 2013, International Psychogeriatrics.

[21]  S. Strauss,et al.  Diabetes-related knowledge and sources of information among periodontal patients: is there a role for dental hygienists? , 2013, Journal of dental hygiene : JDH.

[22]  Mohd Rafiz Salji,et al.  Information Seeking Behavior , 2012 .

[23]  Mark A Pereira,et al.  Western-Style Fast Food Intake and Cardiometabolic Risk in an Eastern Country , 2012, Circulation.

[24]  F. Hu,et al.  Exporting diabetes mellitus to Asia: the impact of Western-style fast food. , 2012, Circulation.

[25]  M. Deveugele,et al.  The social gradient in doctor-patient communication , 2012, International Journal for Equity in Health.

[26]  T. Wong,et al.  Racial differences in the prevalence of diabetes but not diabetic retinopathy in a multi-ethnic Asian population. , 2011, Investigative ophthalmology & visual science.

[27]  Robert C Hornik,et al.  Use of mass media campaigns to change health behaviour , 2010, The Lancet.

[28]  Caroline Markolin,et al.  Understanding Breast Cancer , 2009 .

[29]  Weiping Jia,et al.  Diabetes in Asia: epidemiology, risk factors, and pathophysiology. , 2009, JAMA.

[30]  D. Longo,et al.  Understanding breast-cancer patients' perceptions: Health information-seeking behaviour and passive information receipt , 2009 .

[31]  Haiden A Huskamp,et al.  Whom do older adults trust most to provide information about prescription drugs? , 2009, The American journal of geriatric pharmacotherapy.

[32]  Narine S. Yegiyan,et al.  Informing Citizens: How People with Different Levels of Education Process Television, Newspaper, and Web News , 2009 .

[33]  B. Zinman,et al.  Raising diabetes awareness in the public domain , 2007, International journal of clinical practice. Supplement.

[34]  M. Dimatteo,et al.  The therapeutic effects of the physician-older patient relationship: Effective communication with vulnerable older patients , 2007, Clinical interventions in aging.

[35]  J. Petrie,et al.  How do people with diabetes access information , 2005 .

[36]  B. Duncan,et al.  A nationwide population screening program for diabetes in Brazil. , 2004, Revista panamericana de salud publica = Pan American journal of public health.

[37]  K. Hughes,et al.  Ethnic differences among Chinese, Malay and Indian patients with type 2 diabetes mellitus in Singapore. , 2004, Singapore medical journal.

[38]  G. Zou,et al.  A modified poisson regression approach to prospective studies with binary data. , 2004, American journal of epidemiology.

[39]  K. Viswanath,et al.  Lessons learned from public health mass media campaigns: marketing health in a crowded media world. , 2004, Annual review of public health.

[40]  H. Wee,et al.  Public awareness of diabetes mellitus in Singapore. , 2002, Singapore medical journal.

[41]  Honorary,et al.  Type 2 diabetes mellitus: ‘the silent killer’ , 2001 .

[42]  L. S. Minckler Racial Differences , 1924, Science.

[43]  A. Motala,et al.  Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9 th edition , 2019 .

[44]  Hwee-Xian Tan,et al.  Technologies for ageing-in-place: The Singapore context , 2018 .

[45]  S. Agrawal Role of self- Care in management of diabetes mellitus. , 2016, The Journal of the Association of Physicians of India.