A cross-sectional survey examining motivation and beliefs to participating in a web-based prospective cohort study on nutrition and health among individuals with a low socioeconomic status
Biostatistics
Cross-sectional study
Odds
DOI:
10.1186/s12889-020-08467-1
Publication Date:
2020-03-17T15:02:39Z
AUTHORS (8)
ABSTRACT
Abstract Background Prospective cohort studies may support public health efforts in reducing inequalities. However, individuals with a low socioeconomic status (SES) are generally underrepresented research. This study aimed to examine the intention and determinants of SES towards participation Web-based prospective project on nutrition (NutriQuébec) order develop recruitment retention strategies. Methods A cross-sectional survey based Theory planned behaviour was conducted Province Québec, Canada. Low (high school or less annual household income < $55,000 CAN) were recruited through Web panel polling firm assess intention, attitude, subjective norm perceived behavioural control (PBC) NutriQuébec project. Linear regression logistic analyses conducted. Results Mean age respondents (184 women, 141 men) 57.6 y (SD = 13.6). Attitude ( ß 0.54, 95%CI: 0.41–0.68) PBC 0.50, 0.37–0.63) significantly associated intention. Participants who agreed that participating would contribute an improvement 1) collective (odds ratio [OR] 2.15, 1.27–3.64) 2) one’s lifestyle habits (OR 1.70, 1.04–2.78) more likely express positive compared participants did not agree these statements. participate even absence financial incentive 1.43, 1.04–1.99) if completion questionnaires took up two hours 1.78, 1.27–2.48) also high Receiving personalized brief assessment 1.61, 1.13–2.30) use simple questions 1.54, 1.05–2.25) facilitating factors believing be too time-consuming have 0.57, 0.43–0.75). Conclusions The development attitude will necessary obtain representative data adults.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (59)
CITATIONS (10)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....