Correlation between age and income and health media exposure, knowledge and behavior. PLUS Misconception of Exercise among Thai People
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Correlation between age and income and health media exposure, knowledge and behavior. PLUS Misconception of Exercise among Thai People

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National survey on health media exposure, knowledge and behavior among Thai people. The correlation between age and income and those factors are found.

National survey on health media exposure, knowledge and behavior among Thai people. The correlation between age and income and those factors are found.

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    Correlation between age and income and health media exposure, knowledge and behavior. PLUS Misconception of Exercise among Thai People Correlation between age and income and health media exposure, knowledge and behavior. PLUS Misconception of Exercise among Thai People Presentation Transcript

    • RELATIONSHIP BETWEEN AGE, AND INCOME AND HEALTH MEDIA EXPOSURE, KNOWLEDGE, AND BEHAVIOR AMONG THAI PEOPLE Smith Boonchutima BA, MA (Advertising) Department of Public Relations Chulalongkorn University Achara Bunchum B.N.S, M.Sc. (Public Health) The Office of Risk Communication for Development Health Behavior Department of Disease Control
    • OBJECTIVES • to find the status and relationship between age, and income and health media exposure, knowledge, and behavior among Thai people. • Benefits • The knowledge on this matter will lead to a more effective strategic planning and implementation of communication for preventing and controlling diseases. METHODOLOGY • The survey method was utilized in 2012. • The samples are 2,510 Thai people aged over 15 throughout the country, covering 25 provinces. • Stratified and simple random sampling
    • 200 Samples in Each of 12 DDC and Bangkok 100 Samples 100 SamplesProvince with More Health Risk Province with More Health Risk 50 Samples Urban 50 Samples 50 Samples 50 Samples Market, Shopping center, Governors’ office, Utility offices 12+12+12+14 4Villages of Different Health Risks 12+12+13+13 Rural Urban Rural Market, Shopping center, Governors’ office, Utility offices 12+12+12+14 4Villages of Different Health Risks 12+12+13+13 N = 200 x 12 +200 = 2,600 95% Confidence Interval = .02
    • • Questionnaires of 5 Sections 1. Sex, Income, Zone, Education, Occupation 2. Department of Disease Control’s Image 3. Health media exposure, Health information 4. Health knowledge 5. Health behavior • Quality • 1) Validity and Reliability • 2) Health knowledge test • Difficulty test • 2 items = very difficult • 1 items = difficult • 6 items = moderate • 17 items = easy • 19 items = very easy • Discrimination test • 42 items = High power • 3 items = Low power
    • RESULTS: AGE AND INCOME Age Respondent with knowledge Percentage 15 – 30 695 27.69 31 – 45 707 28.17 46 – 60 702 27.97 60+ 406 16.18 Total 2,510 100.00 Income Respondent with knowledge Percentage <2,500 505 20.12 2,500 – 10,000 1321 52.63 10,001-20,000 439 17.49 > 20,000 245 9.76 Total 2,510 100.00
    • RESULTS: HEALTH MEDIA EXPOSURE TV Radio Newspaper N % N % N % Everyday 1017 40.52 393 15.66 404 16.1 > 3 time/w 614 24.46 453 18.05 484 19.28 1 time/w 427 17.01 428 17.05 458 18.25 1 time/m 353 14.06 449 17.89 445 17.73 Never 88 3.51 729 29.04 661 26.33 Non-exist 11 0.44 58 2.31 58 2.31 Total 2,510 100.00 2,510 100.00 2,510.00 100.00
    • RESULTS: HEALTH MEDIA EXPOSURE Leaflet Poster Internet N % N % N % Everyday 65 2.59 175 6.97 251 10 > 3 time/w 219 8.73 305 12.15 286 11 1 time/w 349 13.9 350 13.94 233 9.3 1 time/m 909 36.22 913 36.37 304 12 Never 892 35.54 675 26.89 1307 52 Non-exist 76 3.03 92 3.67 129 5.1 Total 2,510 100.00 2,510 100.00 2,510.00 100.00
    • RESULTS: HEALTH MEDIA EXPOSURE Health Professionals Health Volunteers Family members N % N % N % Everyday 149 5.94 175 6.97 482 19 > 3 time/w 334 13.31 334 13.31 410 16 1 time/w 412 16.41 468 18.65 450 18 1 time/m 1092 43.51 960 38.25 669 27 Never 489 19.48 527 21 444 18 Non-exist 34 1.35 46 1.83 55 2.2 Total 2,510 100.00 2,510 100.00 2,510.00 100.00
    • RESULTS: HEALTH MEDIA EXPOSURE Local leaders Local wisdom elite Monks/teachers Others N % N % N % N % Everyday 117 4.66 44 1.75 86 3.4 14 0.6 > 3 time/w 236 9.4 157 6.25 156 6.2 9 0.4 1 time/w 304 12.11 240 9.56 302 12 11 0.4 1 time/m 758 30.2 491 19.56 539 21 18 0.7 Never 981 39.08 1366 54.42 1290 51 6 0.2 Non-exist 114 4.54 212 8.45 137 5.5 2452 98 Total 2,510 100.00 2,510 100.00 2,510.00 100.00 2,510 100.00
    • RESULTS: KNOWLEDGE Topic Respondent with knowledge Percentage Dengue 782 58.9 TB 1125 84.8 AIDS 914 68.9 Diabetes 874 65.9 High BP 569 42.9 Myocardial infarction 889 67.0 Influenza 1176 88.6 Diarrhea 757 57.1 Alcohol 1221 92.0 Tobacco 659 49.7 Total 993 74.8 N = 1,327
    • RESULTS: BEHAVIOR Topic No. of Respondent with appropriate health behavior Percentage Food 1,793 71.4 Avoidance of Respiratory Disease 626 24.9 Use of Toxic and Chemical Waste 1,126 44.9 Use of electronic appliances 2,153 85.8 Pest Control Product 2,216 88.3 Mosquito Breeding site eradication 1,734 69.1 Spicy food consumption 1,015 40.4 Smoking 2,184 87.0 Alcoholic drink consumption 1,953 77.8 Exercise 1,594 63.5 Influenza 2,191 87.3 Diarrhea 1,838 73.2 Medical Checkup 1,042 62.2 N = 2,510
    • EXERCISE AND EXCUSES N=2,510 % No. of people reporting that they regularly ‘exercise’ 1040 41.43 Frequency Everyday 259 24.9 5-6 times/ w. 109 10.48 3-4 times/ w. 184 17.69 1-2 times/ w. 456 43.85 Others 21 2.02 Not answer 11 1.06 Duration <30 mins 503 48.37 30-59 mins 336 32.31 > 1 hour 126 12.12 Other 4 0.38 Not answer 71 6.83 N=531 % Don’t like it 66 12.43 Nowhere to do it 44 8.29 No friends to do it with 26 4.90 Don’t have equipment 29 5.46 Don’t know how to do it 25 4.71 Too busy 205 38.61 Lazy 112 21.09 Others 24 4.52 Not answer >2,000 N=2,510 % Correct 208 8.3 Wrong 1985 79.1 Not sure 313 12.5 Not answer 4 0.2 MISCONCEPTION Having light exercise reduces the high blood pressure disease. The correct answer is NO. Only 280 of respondents (20.7%) exercise at least 30 minutes at least 3 times a week.
    • Demographics Media exposure Health message Health knowledge Health behavior Age -.123*** .052** .107*** .059** Income -.062** -.041* .144*** -0.018 Correlation of age and income and media exposure, health message, knowledge and behavior *p ≤ .05, **p ≤ .01, ***p ≤ .001
    • Type of media Health knowledge r p-value Mass media .003 .867 1.Television -.013 .518 2. Radio .001 .979 3. Newspaper -.022 .265 Materials -.021 .305 4. Brochures / flyers -.035 .084 5. Posters / Billboards -.009 .667 6. Internet -.017 .407 Personal -.002 .929 7. Public health officers -.009 .653 8. Public health volunteers -.022 .266 9. family members -.014 .477 10. Friends/relatives/neighbors -.012 .541 11.Village/district leaders -.032 .114 12. Local wisdom elite -.025 .213 13. Monks/teachers -.045* .023 Other media (news towers, mobile units, text messages, and telephones) -.056* .005 Correlation of amount of exposure to a particular type of media and health knowledge *p≤.05,**p≤.01,***p≤.001
    • Predicators b Sb Beta t p-value Food .528 .137 .103 3.867 >.001 Avoidance of Respiratory Disease .053 .101 .014 .529 .597 Use of Toxic and Chemical Waste .113 .042 .065 2.705 .007 Use of electronic appliances -.003 .038 -.002 -.073 .941 Pest Control Product .248 .141 .047 1.763 .078 Mosquito Breeding site eradication .167 .059 .076 2.803 .005 Spicy food consumption .053 .048 .027 1.092 .275 Smoking -.106 .079 -.035 -1.344 .179 Alcoholic drink consumption .019 .064 .008 .295 .768 Exercise .216 .046 .116 4.653 >.001 Influenza .033 .105 .008 .313 .755 Diarrhea -.010 .043 -.005 -.225 .822 Medical Checkup .105 .041 .064 2.573 .010 Adjusted R2 = .065 Constant = 1.874 *p ≤ .05, **p ≤ .01, ***p ≤ .001 bS 2 R
    • Step of predicators R R2 R2 Standardized F - Exercise .172*** 0.03 0.03 51.15 - Exercise - Food .220*** 0.048 0.018 42.353 - Exercise - Food - Mosquitoes’breeding site eradication .244*** 0.06 0.012 35.354 - Exercise - Food - Mosquitoes’breeding site eradication - Use of chemical and toxic waster .254*** 0.064 0.004 28.691 - Exercise - Food - Mosquitoes’breeding site eradication - Use of chemical and toxic waster - medical checkup .262*** 0.069 0.005 24.575 *p ≤ .05, **p ≤ .01, ***p ≤ .001