| Literature DB >> 36110403 |
Nora A AlFaris1, Naseem M Alshwaiyat2, Hana Alkhalidy3, Jozaa Z AlTamimi1, Reham I Alagal4, Reem A Alsaikan4, Malak A Alsemari5, Mona N BinMowyna6, Nora M AlKehayez1.
Abstract
Background: Adults frequently consume sugar-sweetened beverages. These products are linked to negative health effects such as obesity. Our study was carried out to assess rates of weekly and daily sugar-sweetened beverages consumption in a multi-ethnic population of middle-aged men and association with sociodemographic variables and obesity.Entities:
Keywords: middle-aged men; multi-ethnic; obesity; sociodemographic; sugar-sweetened beverages
Year: 2022 PMID: 36110403 PMCID: PMC9468762 DOI: 10.3389/fnut.2022.987048
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Prevalence of weekly sugar-sweetened beverages (SSBs) consumption among study participants (n = 1,800) stratified by sociodemographic variables and obesity.
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| All Participants | 1,689 (93.8%) | 1,475 (81.9%) | 1,045 (58.1%) | 578 (32.1%) |
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| Saudi | 144 (89.4%) | 126 (78.3%) | 112 (69.6%) | 30 (18.6%) |
| Egyptian | 153 (95.0%) | 138 (85.7%) | 123 (76.4%) | 47 (29.2%) |
| Yemeni | 114 (99.1%) | 97 (84.3%) | 97 (84.3%) | 48 (41.7%) |
| Syrian | 141 (89.8%) | 118 (75.2%) | 110 (70.1%) | 65 (41.4%) |
| Jordanian | 148 (87.1%) | 122 (71.8%) | 125 (73.5%) | 40 (23.5%) |
| Sudanese | 162 (93.1%) | 140 (80.5%) | 49 (28.2%) | 31 (17.8%) |
| Turkish | 237 (96.0%) | 208 (84.2%) | 112 (45.3%) | 87 (35.2%) |
| Pakistani | 143 (99.3%) | 129 (89.6%) | 75 (52.1%) | 46 (31.9%) |
| Afghan | 145 (98.6%) | 132 (89.8%) | 75 (51.0%) | 65 (44.2%) |
| Indian | 147 (96.1%) | 124 (81.0%) | 82 (53.6%) | 51 (33.3%) |
| Bangladeshi | 87 (87.0%) | 84 (84.0%) | 24 (24.0%) | 30 (30.0%) |
| Filipino | 67 (94.4%) | 57 (80.3%) | 61 (85.9%) | 38 (53.5%) |
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| 1–5 years | 303 (91.3%) | 259 (78.0%) | 198 (59.6%) | 105 (31.6%) |
| 6 years or more | 1,386 (94.4%) | 1,216 (82.8%) | 847 (57.7%) | 473 (32.2%) |
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| 0.517 | 0.834 | |
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| Non-family household | 1,088 (95.8%) | 969 (85.3%) | 572 (50.4%) | 410 (36.1%) |
| Family household | 601 (90.5%) | 506 (76.2%) | 473 (71.2%) | 168 (25.3%) |
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| Single | 208 (97.2%) | 187 (87.4%) | 126 (58.9%) | 69 (32.2%) |
| Married | 1,481 (93.4%) | 1,288 (81.2%) | 919 (57.9%) | 509 (32.1%) |
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| 0.795 | 0.965 | |
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| Low (high school or less) | 1,133 (95.9%) | 1,005 (85.0%) | 596 (50.4%) | 394 (33.3%) |
| High (college or more) | 556 (90.0%) | 470 (76.1%) | 449 (72.7%) | 184 (29.8%) |
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| Low (<1,000 USD) | 954 (95.6%) | 838 (84.0%) | 535 (53.6%) | 359 (36.0%) |
| High (≥1,000 USD) | 735 (91.6%) | 637 (79.4%) | 510 (63.6%) | 219 (27.3%) |
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| No | 1,431 (93.2%) | 1,257 (81.8%) | 887 (57.7%) | 513 (33.4%) |
| Yes | 258 (97.7%) | 218 (82.6%) | 158 (59.8%) | 65 (24.6%) |
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| 0.773 | 0.523 |
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Categorical variables were analyzed by using Chi-squared test and expressed as numbers and percentages. Significant values (P-value < 0.05) were presented in Bold type.
Prevalence of daily sugar-sweetened beverages (SSBs) consumption among study participants (n = 1,800) stratified by sociodemographic variables and obesity.
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| All participants | 587 (32.6%) | 210 (11.7%) | 46 (2.6%) | 14 (0.8%) |
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| Saudi | 41 (25.5%) | 14 (8.7%) | 2 (1.2%) | 1 (0.6%) |
| Egyptian | 96 (59.6%) | 33 (20.5%) | 10 (6.2%) | 0 (0.0%) |
| Yemeni | 69 (60.0%) | 24 (20.9%) | 10 (8.7%) | 3 (2.6%) |
| Syrian | 58 (36.9%) | 20 (12.7%) | 3 (1.9%) | 2 (1.3%) |
| Jordanian | 49 (28.8%) | 1 (0.6%) | 6 (3.5%) | 0 (0.0%) |
| Sudanese | 5 (2.9%) | 5 (2.9%) | 0 (0.0%) | 0 (0.0%) |
| Turkish | 75 (30.4%) | 50 (20.2%) | 4 (1.6%) | 1 (0.4%) |
| Pakistani | 40 (27.8%) | 7 (4.9%) | 0 (0.0%) | 1 (0.7%) |
| Afghan | 61 (41.5%) | 23 (15.6%) | 2 (1.4%) | 4 (2.7%) |
| Indian | 45 (29.4%) | 27 (17.6%) | 0 (0.0%) | 1 (0.7%) |
| Bangladeshi | 11 (11.0%) | 2 (2.0%) | 0 (0.0%) | 0 (0.0%) |
| Filipino | 37 (52.1%) | 4 (5.6%) | 9 (12.7%) | 1 (1.4%) |
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| 0.074 | |
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| 1–5 years | 121 (36.4%) | 49 (14.8%) | 13 (3.9%) | 1 (0.3%) |
| 6 years or more | 466 (31.7%) | 161 (11.0%) | 33 (2.2%) | 13 (0.9%) |
| 0.099 | 0.052 | 0.082 | 0.274 | |
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| Non-family household | 375 (33.0%) | 168 (14.8%) | 24 (2.1%) | 10 (0.9%) |
| Family household | 212 (31.9%) | 42 (6.3%) | 22 (3.3%) | 4 (0.6%) |
| 0.636 |
| 0.119 | 0.517 | |
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| Single | 80 (37.4%) | 38 (17.8%) | 9 (4.2%) | 1 (0.5%) |
| Married | 507 (32.0%) | 172 (10.8%) | 37 (2.3%) | 13 (0.8%) |
| 0.113 |
| 0.103 | 0.582 | |
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| Low (high school or less) | 382 (32.3%) | 170 (14.4%) | 19 (1.6%) | 8 (0.7%) |
| High (college or more) | 205 (33.2%) | 40 (6.5%) | 27 (4.4%) | 6 (1.0%) |
| 0.714 |
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| 0.5 | |
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| Low (<1,000 USD) | 319 (32.0%) | 124 (12.4%) | 29 (2.9%) | 7 (0.7%) |
| High (≥1,000 USD) | 268 (33.4%) | 86 (10.7%) | 17 (2.1%) | 7 (0.9%) |
| 0.514 | 0.264 | 0.294 | 0.681 | |
| No | 511 (33.3%) | 179 (11.7%) | 38 (2.5%) | 12 (0.8%) |
| Yes | 76 (28.8%) | 31 (11.7%) | 8 (3.0%) | 2 (0.8%) |
| 0.151 | 0.967 | 0.597 | 0.968 |
Categorical variables were analyzed by using Chi-squared test and expressed as numbers and percentages. Significant values (P-value < 0.05) were presented in Bold type.
Odds ratios of weekly and daily sugar-sweetened beverages (SSBs) consumption among study participants for sociodemographic variables and obesity.
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| Saudi | 2.40 (0.79–7.30) | 0.122 | 31.41 (11.29–87.38) |
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| Egyptian | 3.35 (1.12–9.99) |
| 89.76 (33.83–238.19) |
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| Yemeni | 29.19 (3.38–252.28) |
| 103.15 (37.58–283.17) |
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| Syrian | 2.39 (0.81–7.02) | 0.113 | 47.94 (17.55–130.92) |
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| Jordanian | 1.94 (0.68–5.57) | 0.216 | 28.50 (10.37–78.31) |
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| Sudanese | 1.73 (0.71–4.22) | 0.226 | 1 | |
| Turkish | 3.81 (1.40–10.36) |
| 12.52 (4.85–32.35) |
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| Pakistani | 16.40 (2.00–134.20) |
| 14.69 (5.54–38.94) |
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| Afghan | 9.81 (2.05–46.93) |
| 25.19 (9.66–65.69) |
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| Indian | 2.96 (1.05–8.38) |
| 12.59 (4.83–32.81) |
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| Bangladeshi | 1 | 3.72 (1.25–11.11) |
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| Filipino | 3.14 (0.84–11.76) | 0.09 | 57.05 (20.13–161.68) |
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| 0.88 (0.84–0.93) |
| 0.95 (0.92–0.98) |
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| 1–5 years | 1 | 1 | ||
| 6 years or more | 1.33 (0.79–2.22) | 0.283 | 0.94 (0.70–1.26) | 0.665 |
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| Non-family household | 1 | 1 | ||
| Family household | 0.66 (0.30–1.48) | 0.314 | 0.41 (0.28–0.61) |
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| Single | 1 | 1 | ||
| Married | 1.11 (0.44–2.82) | 0.82 | 1.35 (0.94–1.93) | 0.102 |
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| Low (high school or less) | 1 | 1 | ||
| High (college or more) | 0.67 (0.32–1.38) | 0.274 | 0.60 (0.42–0.86) |
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| Low (<1,000 USD) | 1 | 1 | ||
| High (≥1,000 USD) | 0.81 (0.42–1.57) | 0.527 | 1.35 (1.01–1.80) |
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| No | 1 | 1 | ||
| Yes | 3.80 (1.60–9.05) |
| 0.72 (0.52–1.00) | 0.052 |
Multivariate logistic regression analysis was used after adjusting for subjects' sociodemographic variables and obesity. Differences were considered statistically significant at P-value < 0.05, and significant values were presented in Bold type.