Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data and Sample
2.2. Measures
2.2.1. Individual Factors
2.2.2. City Factors
2.3. Ethics
2.4. Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variables | n | Mean (SD) or % |
---|---|---|
Age | 2954 | 68.62 (8.76) |
55–64 | 1034 | 35.0% |
65–74 | 1151 | 39.0% |
75 and above | 769 | 26.0% |
Sex | ||
Male | 1477 | 50.0% |
Female | 1477 | 50.0% |
Education | ||
Illiterate | 316 | 10.7% |
Elementary school or non-formal education | 1211 | 41.0% |
Junior high school | 409 | 13.8% |
Senior high school | 519 | 17.6% |
College/University or above | 499 | 16.9% |
Marital status | ||
No spouse | 829 | 28.1% |
Having spouse | 2125 | 71.9% |
Working status | ||
Yes | 866 | 29.4% |
No | 2084 | 70.6% |
Subjective economic status | ||
Abundant | 407 | 14.0% |
Fair | 1613 | 55.7% |
Insufficient | 878 | 30.3% |
Districts | ||
Urban | 2275 | 77.0% |
Rural | 679 | 23.0% |
Smoking | ||
No | 1934 | 67.1% |
Yes | 949 | 32.9% |
Drinking alcohol | ||
No | 1544 | 53.6% |
Yes | 1338 | 46.4% |
Chewing betel net | ||
No | 2464 | 85.6% |
Yes | 416 | 14.4% |
Self-rated health (1~5) | 2911 | 3.10 (1.05) |
Chronic disease numbers | 2954 | 2.25 (1.89) |
Dietary habit | ||
Non-vegetarian | 2777 | 94.0% |
Vegetarian | 177 | 6.0% |
Dietary belief in average (1~5) | ||
Vegetables and fruits | 897 | 3.66 (0.34) |
Milk and dairy | 874 | 3.46 (0.47) |
Whole grains | 802 | 3.34 (0.46) |
Fried food | 896 | 3.78 (0.36) |
Food Categories | Dietary Patterns | ||
---|---|---|---|
Cluster 1: High Protein and High Vegetables (n = 1215, 41.6%) | Cluster 2: High Sweets and Low Vegetable and Protein (n = 1108, 37.9%) | Cluster 3: High Viscera and Fats (n = 599, 20.5%) | |
Animal protein | 0.42959 | −0.63664 | 0.30625 |
Whole grains, fruits, and dairy | 0.01901 | −0.14853 | 0.23618 |
Vegetables | 0.37722 | −0.41328 | −0.00068 |
Viscera and fats | −0.49281 | −0.30736 | 1.56814 |
Melon and bamboo | 0.32363 | −0.38685 | 0.05913 |
Ice cream and fast food | −0.04850 | −0.01795 | 0.13157 |
Sweets | −0.25075 | 0.24662 | 0.05243 |
Pickles and others | −0.29625 | 0.30795 | 0.03126 |
Variables | Model 1: Middle-Aged Participants (Age 55–64) with Individual and City Factors (without Dietary Belief) (n = 987) | Model 2: Middle-Aged Participants (Age 55–64) with Individual and City Factors (with Dietary Belief) (n = 952) | Model 3: Older Participants (Age 65+) with Individual and City Factors (without Dietary Belief) (n = 1769) | |||
---|---|---|---|---|---|---|
High Sweets and Low Protein and Vegetables | High Viscera and Fats | High Sweets and Low Protein and Vegetables | High Viscera and Fats | High Sweets and Low Protein and Vegetables | High Viscera and Fats | |
Individual factors | ||||||
Age | 0.947 | 0.966 | 0.942 | 0.986 | 1.007 | 0.977 |
Sex (male) | 0.712 | 0.882 | 0.710 | 0.691 | 0.907 | 0.890 |
Work (yes) | 1.088 | 1.439 * | 0.987 | 1.482 | 1.021 | 1.244 |
Marital status (having spouse) | 0.495 ** | 0.814 | 0.442 ** | 0.735 | 0.555 *** | 0.782 |
Education | ||||||
Illiterate | 2.954 * | 0.276 | 2.278 | 0.594 | 3.317 *** | 1.273 |
Elementary school | 1.324 | 0.896 | 1.144 | 0.900 | 1.938 *** | 0.778 |
Primary high school | 1.134 | 0.813 | 0.930 | 0.647 | 1.422 | 0.900 |
Subjective economic status | ||||||
Abundant | 0.578 * | 1.514 | 0.446 * | 1.641 | 0.418 *** | 0.588 * |
Fair | 0.787 | 1.334 | 0.689 | 1.176 | 0.537 *** | 0.714 * |
Drinking alcohol (yes) | 0.901 | 1.169 | 1.025 | 1.337 | 1.209 | 2.202 *** |
Smoking (yes) | 1.104 | 1.346 | 0.865 | 1.697 | 0.927 | 0.972 |
Chewing betel nut (yes) | 1.220 | 1.262 | 1.301 | 0.862 | 1.030 | 1.305 |
Self-rated health | 0.936 | 0.969 | 1.031 | 1.012 | 0.926 | 1.011 |
District (urban) | 0.733 | 0.717 | 0.538 | 0.703 | 1.176 | 1.448 |
Dietary health belief | ||||||
Fried food | 0.964 | 0.595 | ||||
Whole grains | 1.422 | 0.759 | ||||
Vegetables and fruits | 0.336 ** | 0.913 | ||||
Dairy | 0.774 | 1.248 | ||||
City factors | ||||||
Population density | 0.848 | 0.915 | 0.839 | 0.906 | 1.014 | 1.042 |
Older people percentage | 1.195 | 1.000 | 1.248 | 0.960 | 1.026 | 0.933 |
Income inequality distribution | 0.882 | 0.838 * | 0.866 | 0.867 | 0.948 | 0.997 |
Median household income | 1.022 | 1.010 | 1.015 | 1.021 | 1.003 | 0.989 |
Convenient store density | 1.218 | 0.986 | 1.393 | 0.761 | 0.947 | 1.040 |
Seafood store density | 1.033 | 1.004 | 1.064 | 1.045 | 1.064 * | 1.032 |
Other food store density | 1.019 | 1.022 | 1.005 | 1.012 | 1.017 | 0.988 |
Barrier-free pathway | 0.990 | 0.992 | 0.979 | 0.986 | 1.008 | 1.007 |
Accessibility to bus stop | 0.981 | 0.988 | 0.971 * | 0.984 | 0.995 | 1.003 |
Random effect | 0.102 | 0.103 | 0.176 | 0.176 | 0.053 | 0.100 |
Model fit | AIC = 7393.978 | AIC = 5446.490 | AIC = 13,662.981 | |||
BIC = 7403.655 | BIC = 5455.456 | BIC = 13,673.876 | ||||
−2LL = 7389.965 | −2LL = 5442.472 | −2LL = 13,658.974 |
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Lin, Y.-H.; Hsu, H.-C.; Bai, C.-H.; Wu, W.-C. Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis. Int. J. Environ. Res. Public Health 2022, 19, 3982. https://doi.org/10.3390/ijerph19073982
Lin Y-H, Hsu H-C, Bai C-H, Wu W-C. Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis. International Journal of Environmental Research and Public Health. 2022; 19(7):3982. https://doi.org/10.3390/ijerph19073982
Chicago/Turabian StyleLin, Yi-Hsuan, Hui-Chuan Hsu, Chyi-Huey Bai, and Wen-Chi Wu. 2022. "Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis" International Journal of Environmental Research and Public Health 19, no. 7: 3982. https://doi.org/10.3390/ijerph19073982