| Literature DB >> 28209196 |
Breanna De Jong1, Anthony Worsley2,3, Wei Chun Wang4, Rani Sarmugam1,5, Quynh Pham1, Judhiastuty Februhartanty6, Stacey Ridley1.
Abstract
BACKGROUND: An online cross-sectional survey examined the relationships between the demographic characteristics, personal values, trust in sources of nutrition information and the use of convenience food outlets among middle-class household food providers in the Asia-Pacific region.Entities:
Keywords: Asia-Pacific; Attitudes; Convenience food outlets; Nutrition trust; Personal segmentation; Survey; Values
Mesh:
Year: 2017 PMID: 28209196 PMCID: PMC5314702 DOI: 10.1186/s41043-017-0082-4
Source DB: PubMed Journal: J Health Popul Nutr ISSN: 1606-0997 Impact factor: 2.000
Demographic and body weight characteristics of the respondents
| Melbourne | Shanghai | Indonesia | Singapore | Vietnam | Total | |
|---|---|---|---|---|---|---|
| Gender: female (%) | 58.4 | 57.2 | 59.6 | 49.3 | 60.5 | 57.1 |
| Age: mean (std dev) | 41.43 (12.70) | 37.81 (10.53) | 32.97 (9.07) | 37.45 (11.68) | 29.25 (7.35) | 35.72 (11.23) |
| Marital status: married/de facto (%) | 60.9 | 77.4 | 56.9 | 55.3 | 51.4 | 60.4 |
| Education: bachelor’s degree or higher (%) | 58.8 | 89.5 | 80.7 | 74.2 | 89.6 | 78.8 |
| Families with children between 0 and 5 years (%) | 20.4 | 34.9 | 39.3 | 25.9 | 54.2 | 35.2 |
| Families with children between 6 and 12 (%) | 18.1 | 16.5 | 30.9 | 21.4 | 27.1 | 23 |
| Families with children between 13 and 18 (%) | 15.6 | 14.7 | 25.1 | 19.2 | 21.4 | 19.2 |
| BMI mean (std dev) | 26.89 (7.03) | 23.60 (6.92) | 23.11 (5.17) | 23.08 (4.53) | 20.81 (3.32) | 23.47 (5.91) |
Results of the cluster analysis of convenience food outlet use
| Venue | Cluster 1 ( | Cluster 2 ( | Importance (%) |
|---|---|---|---|
| Sports centre | 1.20 | 2.69 | 1.00 |
| Cinema or theatre | 1.35 | 2.73 | 1.00 |
| Vending machine | 1.19 | 2.62 | 1.00 |
| Street stall or small shop | 1.70 | 2.9 | 1.00 |
| Newsagent | 1.13 | 2.68 | 1.00 |
| Petrol station | 1.23 | 2.64 | 1.00 |
| Cafe | 1.81 | 2.94 | 1.00 |
| A fast food restaurant (KFC, McDonalds) | 1.76 | 2.83 | 0.99 |
| A convenience store (7-eleven) | 1.84 | 2.99 | 0.94 |
Reported frequent patronage of convenience food outlets
| %Melbourne | %Shanghai | %Indonesia | %Singapore | %Vietnam | %Total | Chi sq. | |
|---|---|---|---|---|---|---|---|
| Convenience store (7-eleven) | 3.4 | 11.0 | 9.5 | 5.8 | 11.5 | 8.3 | 553.1 |
| Street stall or small shop | 3.8 | 7.1 | 5.8 | 7.4 | 15.7 | 8.0 | 382.9 |
| Fast food restaurant (e.g. McDonalds, KFC) | 3.5 | 7.1 | 4.0 | 6.9 | 8.1 | 5.9 | 50.4 |
| Cinema or theatre | 3.2 | 6.6 | 2.1 | 4.8 | 9.4 | 5.3 | 129.9 |
| Sport venue | 2.9 | 7.7 | 3.3 | 4.5 | 10.7 | 5.9 | 133.2 |
| Petrol station | 2.2 | 7.1 | 3.7 | 5.2 | 10.1 | 5.7 | 96.4 |
| Vending machine | 2.7 | 6.9 | 1.8 | 6.5 | 8.5 | 5.3 | 109.5 |
| Newsagent | 2.9 | 8.4 | 3.0 | 5.8 | 10.7 | 6.2 | 166.0 |
Note: All country comparisons were statistically significant (p < 0.001). The chi-square tests compared infrequent use (ratings 1 and 2) and weekly use (rating 3) with frequent use (ratings 4 and 5)
Question: During the past month how often have you bought a food or a beverage from… ? (Five-point rating scales: No (1), once or twice (2), yes several times a week (3), everyday (4), several times a day (5). The percentages of frequent use of stores (ratings 4 + 5) are shown in this table
Major associations with the use of convenience food outlets
| Variable | Cluster 1 High b( | Cluster 2 Low ( | B | S.E. | Wald | Sig | Exp (B) | 95% CI for Exp (B) | |
|---|---|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||||
| Shanghai vs. Melbourne | .25 (.44) | .18 (.39) | −1.000 | .156 | 48.804 | .000 | .333 | .244 | .453 |
| Vietnam vs. Melbourne | .28 (.45) | .17 (.38) | −.971 | .161 | 36.476 | .000 | .379 | .276 | .519 |
| Indonesia vs. Melbourne | .18 (.38) | .21 (.41) | −.754 | .158 | 22.678 | .000 | .470 | .345 | .642 |
| Singapore vs. Melbourne | .19 (.40) | .20 (.40) | −.632 | .153 | 16.971 | .000 | .531 | .393 | .718 |
| Sex (% female) | 48.5 | 61.0 | .407 | .084 | 23.450 | .000 | 1.502 | 1.274 | 1.771 |
| Age (years) | 32.05 (8.9) | 37.37 (11.8) | −.031 | .005 | 36.114 | .000 | .969 | .959 | .979 |
| Marital status (%married) | 59.1 | 61.2 | −.072 | 0.104 | 0.475 | .491 | 0.931 | 0.759 | 1.142 |
| Children 0–5 years ( | .66 (.87) | .39 (.71) | .344 | .060 | 32.907 | .000 | 1.410 | 1.254 | 1.586 |
| Children 6–12 years ( | .36 (.92) | .61 (.01) | .030 | .069 | 0.189 | .664 | 1.030 | 0.900 | 1.180 |
| Children 13–18 years ( | .29 (.73) | .22 (.56) | .204 | .070 | 8.354 | .004 | 1.226 | 1.068 | 1.407 |
| Standardised BMI | −.10 (.96) | .05 (1.01) | .004 | .044 | 0.010 | .922 | 1.004 | 0.921 | 1.095 |
| Security-tradition-conformity values | 3.62 (.65) | 3.61 (.64) | −.092 | .082 | 1.241 | .265 | 0.912 | 0.777 | 1.072 |
| Hedonism values | 3.61 (.65) | 3.17 (.72) | .951 | .077 | 151.36 | .000 | 2.587 | 2.224 | 3.011 |
| Equality-nature values | 3.81 (.64) | 3.91 (.61) | −.232 | .091 | 6.539 | .011 | 0.793 | 0.664 | 0.947 |
| Perceived importance of food skills and knowledge | 3.85 (.69) | 4.12 (.63) | −.600 | .078 | 59.129 | .000 | .549 | .471 | 0.640 |
| Support for healthy food promotion | 3.94 (.74) | 4.18 (.65) | −.174 | .068 | 6.613 | .010 | 0.840 | 0.736 | 0.959 |
| Support for unhealthy food promotion | 3.03 (.81) | 2.48 (.78) | .426 | 0.057 | 56.204 | .000 | 1.531 | 1.369 | 1.711 |
| Trust in health sources of nutrition information | 3.78 (.77) | 3.94 (.66) | −.333 | .071 | 22.148 | .000 | 0.717 | 0.624 | 0.823 |
| Trust in industry sources of nutrition information | 3.14 (.74) | 2.81 (.67) | .613 | .069 | 77.810 | .000 | 1.845 | 1.611 | 2.115 |
| Trust in social sources of nutrition information | 3.68 (.70) | 3.68 (.77) | .021 | .066 | 0.105 | .746 | 1.021 | 0.898 | 1.162 |
| Constant | 1.865 | .648 | 8.277 | .004 | 6.459 | ||||
Note: This table compares high users of convenience stores with low users. The columns headed Clusters 1 and 2 show the bivariate differences between the clusters in the means and standard deviations (or percentages) of the independent variables