| Literature DB >> 27621124 |
Chu-Hsu Lin1, Kai-Hua Chen2, Chien-Min Chen2, Chia-Hao Chang3, Tung-Jung Huang4, Hung-Chih Hsu5, Shih-Yang Huang1.
Abstract
BACKGROUND: The aim of this prospective study was to investigate the relationship between lifestyle factors including nutrition intake and the incidence of fall-related fragility fractures in postmenopausal women.Entities:
Keywords: Fragility fracture; Nutrition; Osteoporosis; Taiwan; Vegetable
Mesh:
Year: 2016 PMID: 27621124 PMCID: PMC6140300 DOI: 10.1016/j.bj.2015.11.003
Source DB: PubMed Journal: Biomed J ISSN: 2319-4170 Impact factor: 4.910
Fig. 1Subjects flow diagram showing the steps of the case enrollments.
Characteristics of subjects with fall or not.
| Variables | Subjects with fall | Subjects without fall | Univariate analysis | Binary logistic regression analysis | |||
|---|---|---|---|---|---|---|---|
| Mean ± SD, percentage | Mean ± SD, percentage | OR | |||||
| Age (year-old) | 183 | 68.8 ± 8.3 | 770 | 66.4 ± 8.4 | <0.001 | 1.02 (1.00–1.05) | 0.027 |
| Body height (cm) | 182 | 151.7 ± 5.1 | 765 | 152.5 ± 5.6 | 0.064 | 0.98 (0.95–1.02) | 0.308 |
| Body weight (kg) | 182 | 58.1 ± 9.1 | 765 | 57.9 ± 9.3 | 0.760 | ||
| BMI (kg/m2) | 182 | 25.3 ± 3.7 | 765 | 24.9 ± 3.6 | 0.196 | ||
| Waist circumflex (cm) | 182 | 83.2 ± 9.6 | 762 | 82.3 ± 9.4 | 0.283 | ||
| Hip circumflex (cm) | 175 | 96.6 ± 8.5 | 747 | 96.2 ± 7.9 | 0.552 | ||
| Systolic blood pressure (mmHg) | 182 | 140.7 ± 20.0 | 761 | 139.1 ± 19.6 | 0.331 | ||
| Diastolic blood pressure (mmHg) | 182 | 83.5 ± 11.4 | 761 | 82.6 ± 10.8 | 0.349 | ||
| Hypertension | 183 | 43.2 (79/183) | 770 | 29.9 (230/770) | 0.001 | 1.54 (1.08–2.18) | 0.016 |
| Diabetes | 183 | 17.5 (32/183) | 770 | 10.9 (84/770) | 0.014 | 1.58 (1.00–2.50) | 0.051 |
| Fasting glucose | 178 | 108.9 ± 38.4 | 759 | 105.3 ± 29.6 | 0.230 | ||
| HbA1c | 180 | 6.1 ± 1.2 | 760 | 6.0 ± 1.1 | 0.192 | ||
| Fruit intake (frequency) | 183 | 6.0 ± 4.1 | 770 | 6.5 ± 3.9 | 0.023 | 0.97 (0.93–1.02) | 0.192 |
| Previous fracture history | 183 | 23.0 (42/183) | 770 | 17.1 (132/770) | 0.068 | 1.44 (0.97–2.15) | 0.072 |
| Blurred vision | 183 | 2.2 (4/183) | 770 | 2.1 (16/770) | >0.99 | ||
| Stroke | 183 | 0.5 (1/183) | 770 | 0.5 (4/770) | >0.99 | ||
| Exercise | 183 | 22.0 (39/183) | 770 | 25.9 (195/770) | 0.283 | ||
| Labor worker | 183 | 15.4 (20/183) | 770 | 17.9 (98/770) | 0.499 | ||
Abbreviations: n: Case number; BMI: Body mass index; CI: Confidence interval; SD: Standard deviation; HbA1c: Glycohemoglobin.
Determined by independent sample t-test.
Determined by Pearson's Chi-square test.
Determined by Mann–Whitney U-test.
Determined by Fisher's exact test.
Determined by binary logistic regression (dependent variable: Fall, covariates: age, body height, hypertension, diabetes, previous fracture history).
Case number of each fragility fracture sites.
| Fracture sites | |
|---|---|
| Hand and wrist | 5 |
| Humerus | 2 |
| Rib | 3 |
| Spine | 4 |
| Femur (including hip) | 5 |
| Lower limbs other than femur | 6 |
| Total | 25 |
Comparison between subjects with and without fragility fracture.
| Variables | Subjects with fragility fracture | Subjects without fragility fracture | Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|---|---|---|
| Mean ± SD, percentage | Mean ± SD, percentage | OR | |||||
| Age (year-old) | 25 | 69.0 ± 8.8 | 158 | 68.7 ± 8.2 | 0.870 | ||
| Body height (cm) | 25 | 151.2 ± 6.7 | 157 | 151.7 ± 4.8 | 0.634 | ||
| Body weight (kg) | 25 | 56.7 ± 9.6 | 157 | 58.4 ± 9.0 | 0.384 | ||
| BMI (kg/m2) | 25 | 24.7 ± 3.6 | 157 | 25.3 ± 3.7 | 0.440 | ||
| Waist circumflex (cm) | 25 | 83.1 ± 7.0 | 157 | 83.2 ± 10.0 | 0.990 | ||
| Hip circumflex (cm) | 25 | 97.5 ± 6.7 | 157 | 96.4 ± 8.8 | 0.570 | ||
| Bun | 24 | 17.5 ± 5.2 | 156 | 15.9 ± 4.5 | 0.108 | ||
| Creatinine | 24 | 0.8 ± 0.2 | 156 | 0.8 ± 0.2 | 0.419 | ||
| Cholesterol | 24 | 216.1 ± 41.1 | 157 | 208.0 ± 38.2 | 0.338 | ||
| HDL | 25 | 59.0 ± 11.9 | 158 | 57.0 ± 12.7 | 0.445 | ||
| LDL | 25 | 137.5 ± 32.9 | 157 | 131.9 ± 34.8 | 0.453 | ||
| Triglyceride | 24 | 131.5 ± 63.6 | 157 | 125.6 ± 67.6 | 0.687 | ||
| Fasting glucose | 24 | 114.3 ± 39.9 | 154 | 108.1 ± 38.2 | 0.468 | ||
| HbA1c | 24 | 6.2 ± 1.4 | 156 | 6.1 ± 1.2 | 0.618 | ||
| Uric acid | 24 | 5.5 ± 1.9 | 157 | 5.5 ± 1.3 | 0.983 | ||
| Hypertension | 25 | 36.0 (9/25) | 158 | 44.3 (70/158) | 0.436 | ||
| Diabetes mellitus | 25 | 20.0 (5/25) | 158 | 17.1 (27/158) | 0.777 | ||
| Previous fracture history | 25 | 20.0 (5/25) | 158 | 23.4 (37/158) | 0.706 | ||
| Exercise habit | 25 | 32.0 (8/25) | 158 | 29.5 (47/158) | 0.819 | ||
| Labor worker | 25 | 12.0 (3/25) | 158 | 10.8 (17/158) | >0.99 | ||
| Calcium tablet | 25 | 32 (8/25) | 158 | 23.4 (37/158) | 0.354 | ||
| Habitual milk intake | 25 | 16.0 (4/25) | 158 | 20.9 (33/158) | 0.572 | ||
| Habitual tea intake | 25 | 8.0 (2/25) | 158 | 10.8 (17/158) | >0.99 | ||
| Various food intake frequency | |||||||
| Egg | 25 | 1.7 ± 1.3 | 158 | 2.0 ± 1.8 | 0.919 | ||
| Fish | 25 | 7.2 ± 4.3 | 158 | 7.0 ± 4.6 | 0.739 | ||
| Meat | 25 | 3.7 ± 2.8 | 158 | 4.5 ± 3.7 | 0.475 | ||
| Offal food | 25 | 0.1 ± 0.3 | 158 | 0.3 ± 0.8 | 0.230 | ||
| Algae | 25 | 1.2 ± 1.2 | 158 | 1.9 ± 2.2 | 0.120 | ||
| Soy product | 25 | 1.4 ± 1.7 | 158 | 1.7 ± 2.1 | 0.471 | ||
| Fruit | 25 | 6.1 ± 3.7 | 158 | 6.0 ± 4.2 | 0.570 | ||
| Dark-green vegetable | 25 | 7.9 ± 4.4 | 158 | 8.6 ± 4.4 | 0.431 | ||
| Other deep-colored vegetable | 25 | 5.1 ± 3.8 | 158 | 6.6 ± 4.2 | 0.024 | 3.00 | 0.039 |
| Light-colored vegetable | 25 | 5.6 ± 3.3 | 158 | 7.7 ± 4.3 | 0.021 | 2.70 | 0.029 |
| Sum of vegetable | 25 | 18.6 ± 9.9 | 158 | 22.8 ± 11.1 | 0.037 | 2.88 | 0.016 |
Abbreviations: n: Case number; BMI: Body mass index; HDL-C: High-density lipoprotein cholesterol; LDL-C: Low-density lipoprotein cholesterol; HbA1c: Glycohemoglobin; CI: Confidence interval; OR: Odds ratio.
Determined by independent sample t-test.
Determined by Pearson's Chi-square test.
Determined by Fisher's exact test.
Determined by Mann–Whitney U-test.
Determined by binary logistic regression. Dependent variable: Fragility fracture or not, covariates: Food item divided into two groups, age and body mass index. Each food item (including dark-green, other deep-colored, light-colored vegetable and sum of vegetable) was analyzed by each binary logistic regression model to avoid multicollinearity.
OR for weekly intake frequency <6 versus ≥6.
OR for weekly intake frequency <15 versus ≥15.