Bridging Health Disparities through Digital Health Coaching: Use and Outcome of the Online Losing Weight Coach in Individuals with Low, Middle and High Socio-economic Positions

1. Bridging Health Inequalitiesthrough Digital Health Coaching Use and Outcome of the Online Losing Weight Coach in Individuals with Low, Middle and High Socioeconomic Positions. Dr. Claudia Put Dr. LeentjeVervoort InèsGaston-Echeverria

3. cancers, cardiovasculardiseases

4. mediated by higherprevalence of healthriskbehaviors

5. e.g. unhealthydiets, insufficientphysicalactivity or excercise, smoking, …Phelan, Link, & Tehranifar(2010). J of Health and Social Behavior

7. e.g., smokingStichting tegen Kanker, 2010

9. lifeexpectancy

10. how oldwillyouget, givenyourgender and age?

11. expectedyears of healthy living

12. how manyyearswillyouremainhealthy, givenyourgenderand age?

13. healthdisparities are stillincreasingKoning Boudewijnstichting (2010). Tackling Health inequalities in Belgium

14. life expectancy Belgian man, 25 Koning Boudewijnstichting (2010). Tackling Health inequalities in Belgium

15. expectedyears of healthy living Belgian woman, 25 Koning Boudewijnstichting (2010). Tackling Health inequalities in Belgium

17. through multiple riskbehaviors, e.g., smoking, unhealthydiet, …

18. differentaccess to ‘resources’ thatcanbeused to avoidrisks or treatproblems

19. ‘healthychoices’ egfood

20. treatment, therapy, intervention

21.  knowledge, money, social support, …Phelan, Link, & Tehranifar(2010). J of Health and Social Behavior

23.  affordable interventions

24.  easy-to-acces interventions

25.  easy-to-use interventions

26.  time-efficient interventionsPhelan, Link, & Tehranifar(2010). J of Health and Social Behavior

28. easy-to-acces interventions

29. high internet use in Belgium: 76%, but withSES-differences

30. no-lowformaleducation: 65%

31. medium formaleducation: 86%

32. high formaleducation: 98%

34. daily e-mailtips right intoyourmailbox

35. clearlystructuredwebpages, easy to navigate

36. completelyautomated

37. time-efficient

38. at home, no need to go out or plan

39. accessible 24/7

40. atyourown pacePhelan, Link, & Tehranifar(2010). J of Health and Social Behavior

42. 65.792 users

43. completelyautomated, online interactiveapp

44. basedoncognitive & behavioraltechniques

46. Tailoredindividual feedback

47. Social comparison, in terms of motivation and behavior

50. strategies

51. Interactive tools: tests, feedback tools, …

54. Simple A tailoredpersonalmonthly report

56. triggers & engages

59. 83% women, 17% man

60. age: M = 45, SD = 12

61. weight: M = 78.29 kg, SD = 14.05

62. underweight: 0.1%

63. normalweight: 29.7%

64. overweight: 43.5%

65. obesitas: 26.1%

67. weight of Online Weight Coach Users

69. related to food pattern, physicalactivity, calorie control

70. measured on a scalefrom 0 to 100

72. M = 5.85, SD=18.00, F(1,2782)=106.03, p<.001

73. no significant interaction effectwith SES

75. M = 10.71, SD=35.07, F(1,2782)=63.83, p<.001

76. no significant interaction effectwith SES

78. M = 7.68, SD=19.76, F(1,2782)=102.00, p<.001

79. no significant interaction effectwith SES

81. M = 1.73, SD=4.92, F(1,2782)=138.46, p<.001

82. no significant interaction effectwith SES

84.  potential for reducing SES-related HI