Sex-Specific Sociodemographic Correlates of Dietary Patterns in a Large Sample of French Elderly Individuals
Abstract
:1. Introduction
2. Methods
2.1. Context and Sample
2.2. Dietary Assessment
2.3. Dietary Patterns
2.4. Covariates
2.5. Statistical Analysis
2.6. Supplementary Analysis
3. Results
3.1. Sample Characteristics
3.2. Dietary Patterns in French Elderly
3.3. Sociodemographic and Health Status Correlates of the Three DP
3.4. Supplementary Analysis
4. Discussion
Supplementary Materials
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Pattern 1: Healthy | Pattern 2: Western | Pattern 3: Traditional | |
---|---|---|---|
Food | |||
Vegetables | 0.48 | −0.28 | 0.44 |
Fresh fruit | 0.47 | −0.02 | 0.12 |
Dried fruits, nuts | 0.46 | −0.01 | −0.02 |
Fish | 0.28 | −0.08 | −0.05 |
Whole-grain products | 0.51 | −0.12 | −0.13 |
Vegetable oils | 0.45 | 0.06 | 0.08 |
Milk-based desserts | −0.29 | −0.05 | 0.09 |
Bread, toast | −0.27 | 0.37 | 0.51 |
Broth, stock | 0.07 | −0.33 | 0.61 |
Butter, margarine | −0.02 | 0.13 | 0.60 |
Potatoes, tubers | 0.01 | 0.08 | 0.50 |
Sweet products (honey, candy) | 0.05 | 0.22 | 0.37 |
Appetizers | 0.05 | 0.39 | −0.08 |
Cheese | 0.16 | 0.52 | 0.22 |
Cold cuts | −0.03 | 0.48 | 0.03 |
Red meat, organ meats | −0.23 | 0.27 | 0.16 |
Pastries, high-fat and high-sugar products | −0.04 | 0.29 | 0.05 |
Yogurt | 0.12 | −0.38 | −0.06 |
Legumes/pulses | 0.22 | −0.04 | 0.11 |
Beverages | |||
Milk | −0.28 | −0.12 | 0.27 |
Non-alcoholic non-sweetend beverages | 0.48 | −0.01 | −0.00 |
Alcoholic beverages | −0.04 | 0.64 | −0.07 |
Men (n = 2991) | Women (n = 3695) | p b | |
---|---|---|---|
Age, years, mean (SD) | 69.2 (4.0) | 68.6 (3.8) | <0.0001 |
65–69 years | 1856 (62.1) | 2551 (69.0) | |
70–74 years | 822 (27.5) | 842 (22.8) | |
≥75 years | 313 (10.5) | 302 (8.2) | |
Body mass index, kg/m2, mean (SD) | 25.6 (3.5) | 24.7 (4.5) | <0.0001 |
Normal, 18.5–24.9 | 1423 (47.6) | 2247 (60.8) | |
Overweight, 25.0–29.9 | 1285 (43.0) | 1026 (27.8) | |
Obese, ≥30 | 283 (9.5) | 422 (11.4) | |
Educational level | <0.001 | ||
Up to high school | 1387 (46.4) | 2007 (54.3) | |
Post-secondary education | 1604 (53.6) | 1688 (45.7) | |
Living alone | 370 (12.4) | 1337 (36.2) | <0.0001 |
Retired | 2925 (97.8) | 3564 (96.5) | 0.001 |
Most recent occupation | <0.0001 | ||
Farmer, manual labor, blue-collar | 259 (8.7) | 1053 (28.5) | |
Office staff, self-employed | 1887 (63.1) | 1228 (33.2) | |
Professional/executive staff | 845 (28.3) | 1414 (38.3) | |
Smoking status | <0.0001 | ||
Never | 848 (28.4) | 2055 (55.6) | |
Former | 1949 (65.2) | 1448 (39.2) | |
Current | 194 (6.5) | 192 (5.2) | |
Residence in urban area (≥20,000 inhabitants) | 1841 (61.6) | 2403 (65.0) | 0.003 |
Hypertension c | 1254 (42.0) | 1119 (30.7) | <0.0001 |
Diabetes d | 273 (9.2) | 136 (3.7) | <0.0001 |
Cardiovascular disease history e | 224 (7.5) | 92 (2.5) | <0.0001 |
Total dietary energy, kcal/day, mean (SD) f | 2122.6 (473.1) | 1678.4 (362.5) | <0.0001 |
Dietary Pattern 1 | Dietary Pattern 2 | Dietary Pattern 3 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Healthy | Western | Traditional | ||||||||||
Men | Women | Men | Women | Men | Women | |||||||
beta | p | beta | p | beta | p | beta | p | beta | p | beta | p | |
Age, years a | ||||||||||||
70–74 years | 0.05 | 0.28 | −0.03 | 0.44 | −0.06 | 0.09 | −0.05 | 0.08 | 0.12 | 0.003 | 0.13 | <0.0001 |
75+ years | −0.03 | 0.64 | −0.15 | 0.004 | −0.09 | 0.12 | −0.10 | 0.03 | 0.25 | <0.0001 | 0.30 | <0.0001 |
Body mass index, kg/m2 b | ||||||||||||
Overweight, BMI: 25.0–29.9 | −0.19 | <0.0001 | −0.10 | 0.003 | 0.18 | <0.0001 | 0.03 | 0.32 | −0.03 | 0.46 | 0.03 | 0.34 |
Obesity, BMI ≥ 30 | −0.11 | 0.13 | −0.21 | <0.0001 | 0.13 | 0.03 | 0.04 | 0.28 | 0.03 | 0.62 | 0.08 | 0.06 |
Post-secondary education | 0.16 | <0.0001 | 0.08 | 0.005 | −0.01 | 0.69 | −0.01 | 0.79 | −0.10 | 0.004 | 0.00 | 0.97 |
Living alone | 0.18 | 0.002 | 0.11 | 0.0002 | −0.11 | 0.02 | −0.14 | <0.0001 | −0.08 | 0.14 | −0.01 | 0.82 |
Smoking c | ||||||||||||
Former smoker | 0.03 | 0.52 | 0.10 | 0.0009 | 0.29 | <0.0001 | 0.15 | <0.0001 | −0.22 | <0.0001 | −0.21 | <0.0001 |
Current smoker | −0.36 | <0.0001 | −0.07 | 0.30 | 0.67 | <0.0001 | 0.27 | <0.0001 | −0.43 | <0.0001 | −0.27 | <0.0001 |
Hypertension | 0.02 | 0.70 | −0.09 | 0.007 | 0.01 | 0.69 | −0.00 | 0.94 | −0.05 | 0.15 | 0.05 | 0.07 |
Urban area (≥20,000 inhabitants) | −0.02 | 0.58 | 0.01 | 0.73 | 0.02 | 0.51 | 0.01 | 0.62 | −0.16 | <0.0001 | −0.09 | 0.0009 |
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Share and Cite
Andreeva, V.A.; Allès, B.; Feron, G.; Gonzalez, R.; Sulmont-Rossé, C.; Galan, P.; Hercberg, S.; Méjean, C. Sex-Specific Sociodemographic Correlates of Dietary Patterns in a Large Sample of French Elderly Individuals. Nutrients 2016, 8, 484. https://doi.org/10.3390/nu8080484
Andreeva VA, Allès B, Feron G, Gonzalez R, Sulmont-Rossé C, Galan P, Hercberg S, Méjean C. Sex-Specific Sociodemographic Correlates of Dietary Patterns in a Large Sample of French Elderly Individuals. Nutrients. 2016; 8(8):484. https://doi.org/10.3390/nu8080484
Chicago/Turabian StyleAndreeva, Valentina A., Benjamin Allès, Gilles Feron, Rebeca Gonzalez, Claire Sulmont-Rossé, Pilar Galan, Serge Hercberg, and Caroline Méjean. 2016. "Sex-Specific Sociodemographic Correlates of Dietary Patterns in a Large Sample of French Elderly Individuals" Nutrients 8, no. 8: 484. https://doi.org/10.3390/nu8080484