| Literature DB >> 26310192 |
Christina Mary Pollard1, Claire Elizabeth Pulker, Xingqiong Meng, Deborah Anne Kerr, Jane Anne Scott.
Abstract
BACKGROUND: The Internet contains a plethora of nutrition information. Health organizations are increasingly using the Internet to deliver population-wide health information and interventions. Effective interventions identify their target population and their needs; however, little is known about use of the Internet as a source of nutrition information.Entities:
Keywords: Internet; behavior, eating food habits; food, diet, Western; information seeking behavior; media, social; nutrition; public health practice
Mesh:
Year: 2015 PMID: 26310192 PMCID: PMC4642382 DOI: 10.2196/jmir.4548
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Sample demographics of the Nutrition Monitoring Survey Series, Western Australia, 1995-2012.
| Demographic characteristics | Survey year, n | Total, %a N=7044 | ||||||
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| 1995 | 1998 | 2001 | 2004 | 2009 | 2012 |
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| Female | 631 | 502 | 502 | 601 | 830 | 1005 | 49.18 |
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| Male | 371 | 502 | 502 | 601 | 454 | 543 | 50.82 |
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| 18-24 | 119 | 110 | 118 | 103 | 71 | 66 | 15.80 |
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| 25-34 | 257 | 210 | 245 | 232 | 180 | 144 | 23.01 |
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| 35-44 | 291 | 305 | 296 | 333 | 340 | 377 | 22.41 |
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| 45-54 | 207 | 234 | 212 | 297 | 356 | 466 | 21.33 |
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| 55-64 | 128 | 145 | 133 | 237 | 337 | 495 | 17.45 |
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| Metropolitan | 748 | 751 | 75 | 601 | 965 | 1011 | 78.33 |
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| Remote areas | 51 | 63 | 62 | 150 | 29 | 82 | 4.80 |
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| Rural areas | 203 | 190 | 18 | 451 | 290 | 455 | 16.87 |
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| Less than high school | 376 | 336 | 303 | 330 | 221 | 211 | 19.67 |
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| High school | 251 | 237 | 265 | 257 | 178 | 198 | 21.98 |
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| Trade/certificate/diploma | 90 | 95 | 77 | 177 | 481 | 632 | 25.47 |
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| University degree | 284 | 336 | 344 | 435 | 399 | 504 | 33.58 |
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| Missing | 1 | 0 | 1 | 3 | 5 | 3 | 0.30 |
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| ≤$60,000 | 748 | 603 | 558 | 603 | 349 | 346 | 37.47 |
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| >$60,000 | 174 | 305 | 340 | 560 | 814 | 1024 | 51.40 |
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| Missing | 80 | 96 | 106 | 39 | 121 | 178 | 11.13 |
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| Currently not in paid employment | 330 | 263 | 278 | 285 | 364 | 408 | 26.82 |
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| Currently in paid employment | 669 | 741 | 726 | 917 | 920 | 1139 | 73.14 |
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| Missing | 3 | 0 | 0 | 0 | 0 | 1 | 0.04 |
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| Australia | 656 | 665 | 668 | 868 | 867 | 1122 | 68.64 |
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| UK/Ireland | 189 | 209 | 193 | 155 | 202 | 221 | 15.96 |
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| Other countries | 157 | 130 | 143 | 179 | 214 | 205 | 16.38 |
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| Missing | 0 | 0 | 0 | 0 | 1 | 0 | 0.02 |
a Percentages were weighted for probability of sample selection and adjusted by age, sex, and geographic area to the 2011 Estimated Resident Population of Western Australia.
Prevalence of using the Internet as a source to obtain nutrition and dietary information, the Nutrition Monitoring Survey Series, Western Australia, 1995-2012.
| Variable | No, % (95% CI)a | Yes, % (95% CI)a |
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| <.001 | |
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| 1995 | 99.83 (98.84, 99.98) | 0.17 (0.02, 1.16) |
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| 1998 | 99.43 (98.78, 99.73) | 0.57 (0.27, 1.22) |
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| 2001 | 99.84 (98.89, 99.98) | 0.16 (0.02, 1.11) |
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| 2004 | 90.86 (88.62, 92.70) | 9.14 (7.30, 11.38) |
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| 2009 | 77.09 (73.95, 79.96) | 22.91 (20.04, 26.05) |
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| 2012 | 66.27 (63.23, 69.18) | 33.73 (30.82, 36.77) |
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| <.001 | |
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| Female | 80.36 (78.51, 82.09) | 19.64 (17.91, 21.49) |
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| Male | 85.80 (83.95, 87.47) | 14.20 (12.53, 16.05) |
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| .21 | |
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| 18-24 | 79.92 (74.69, 84.30) | 20.08 (15.70, 25.31) |
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| 25-34 | 83.93 (81.01, 86.47) | 16.07 (13.53, 18.99) |
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| 35-44 | 83.22 (81.04, 85.19) | 16.78 (14.81, 18.96) |
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| 45-54 | 82.89 (80.51, 85.04) | 17.11 (14.96, 19.49) |
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| 55-64 | 85.14 (82.70, 87.29) | 14.86 (12.71, 17.30) |
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| Total | 83.13 (81.83, 84.35) | 16.87 (15.65, 18.17) |
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a Percentages were weighted for probability of sample selection and adjusted by age, sex, and geographic area to the 2011 Estimated Resident Population of Western Australia.
b P values were derived from survey design–based Pearson chi-square test.
Factors associated with using the Internet as a source of obtaining nutrition and dietary information, the Nutrition Monitoring Survey Series, Western Australia, 1995-2012.
| Factor | OR (95% CI) |
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| <.001 | |
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| 1995 | 0.02 (0, 0.12) |
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| 1998 | 0.06 (0.03, 0.13) |
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| 2001 | 0.02 (0.00, 0.11) |
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| 2004 | 1.00 |
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| 2009 | 2.84 (2.07, 3.88) |
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| 2012 | 5.20 (3.86, 7.02) |
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| .02 | |
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| Male | 1.00 |
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| Female | 1.30 (1.05, 1.60) |
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| <.001 | |
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| 18-24 | 1.00 |
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| 25-34 | 0.78 (0.51, 1.20) |
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| 35-44 | 0.64 (0.43, 0.95) |
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| 45-54 | 0.51 (0.34, 0.76) |
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| 55-64 | 0.38 (0.25, 0.57) |
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| <.001 | |
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| Less than high school | 1.00 |
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| High school | 1.16 (0.76, 1.76) |
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| TAFE/trade/diploma | 1.80 (1.29, 2.52) |
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| Tertiary | 2.46 (1.77, 3.42) |
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| .02 | |
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| Australia/UK/Ireland | 1.00 |
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| Other countries | 1.41 (1.07, 1.85) |
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| .03 | |
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| Nonmetropolitan | 1.00 |
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| Metropolitan | 1.26 (1.03, 1.54) |
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a Results were derived from a binary logistic regression under survey module. P values were derived from Wald test.
Figure 1Proportion of participants using the Internet as a source of obtaining nutrition and dietary information over the survey period, the Nutrition Monitoring Survey Series, Western Australia, 1995-2012 (derived after the logistic regression).
Figure 2Proportion of respondents using the Internet as a source of nutrition and dietary information over the survey period by gender and age, the Nutrition Monitoring Survey Series, Western Australia, 1995-2012 (derived after logistic regression).
Association between using the Internet as a source to obtain nutrition and dietary information and perception of whether it would be easier for respondents to eat healthy diet.
| Would make easier to eat healthy diet | Participants, % (95% CI)a |
| Total, % (95% CI)a | ||
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| Not using Internet | Using Internet |
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| .06 |
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| No | 28.65 (27.29, 30.05) | 24.88 (21.45, 28.65) |
| 28.01 (26.73, 29.33) |
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| Yes | 71.35 (69.95, 72.71) | 75.12 (71.35, 78.55) |
| 71.99 (70.67, 73.27) |
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| .005 |
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| No | 21.86 (20.65, 23.12) | 16.97 (14.27, 20.07) |
| 21.04 (19.92, 22.20) |
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| Yes | 78.14 (76.88, 79.35) | 83.03 (79.93, 85.73) |
| 78.96 (77.80, 80.08) |
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| <.001 |
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| No | 32.73 (31.35, 34.15) | 23.72 (20.58, 27.18) |
| 31.20 (29.93, 32.51) |
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| Yes | 67.27 (65.85, 68.65) | 76.28 (72.82, 79.42) |
| 68.80 (67.49, 70.07) |
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| .33 |
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| No | 45.69 (44.19, 47.20) | 43.49 (39.42, 47.64) |
| 45.32 (43.89, 46.75) |
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| Yes | 54.31 (52.80, 55.81) | 56.51 (52.36, 60.58) |
| 54.68 (53.25, 56.11) |
a Percentages were weighted for probability of sample selection and adjusted by age, sex, and geographic area to the 2011 Estimated Resident Population of Western Australia.
b P values were derived from survey design–based Pearson chi-square test.
Prevalence of using Internet as a source obtaining nutrition and dietary information, the Nutrition Monitoring Survey Series, Western Australia, 2009 and 2012.
| Age range | 2009 Yes, % (95% CI)a |
| 2012 Yes, % (95% CI)a |
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| Female | Male |
| Female | Male |
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| 18-24 years | 31.58 (18.15, 49.01) | 34.56 (19.05, 54.23) | .81 | 56.81 (38.09, 73.77) | 25.80 (13.59, 43.45) | .01 |
| 25-34 years | 28.40 (20.12, 38.44) | 32.83 (21.07, 47.22) | .59 | 58.77 (46.40, 70.13) | 32.67 (20.73, 47.38) | .005 |
| 35-44 years | 24.19 (18.99, 30.27) | 16.98 (10.76, 25.76) | .13 | 39.66 (33.37, 46.31) | 36.57 (27.08, 47.24) | .62 |
| 45-54 years | 16.91 (12.42, 22.62) | 18.21 (11.58, 27.45) | .79 | 33.19 (27.41, 39.52) | 27.11 (20.14, 35.43) | .22 |
| 55-64 years | 13.48 (9.14, 19.45) | 18.21 (11.64, 27.34) | 0.32 | 23.39 (18.58, 29.01) | 22.39 (16.44, 29.72) | .82 |
a Percentages were weighted for probability of sample selection and adjusted by age, sex, and geographic area to the 2011 Estimated Resident Population of Western Australia.