| Literature DB >> 32999682 |
Jee Hye Wee1, Chanyang Min2,3, Min Woo Park4, Soo Hwan Byun5, Hyo-Jeong Lee1, Bumjung Park1, Hyo Geun Choi1,2.
Abstract
BACKGROUND: A few studies have reported the association between asthma and osteoporosis. We aimed to analyze the association of asthma and its subgroups with osteoporosis in the Korean adult population.Entities:
Keywords: Asthma; Chronic disease; Epidemiology; Osteoporosis
Year: 2020 PMID: 32999682 PMCID: PMC7519551 DOI: 10.1186/s13223-020-00482-6
Source DB: PubMed Journal: Allergy Asthma Clin Immunol ISSN: 1710-1484 Impact factor: 3.406
Fig. 1A schematic illustration of the participant selection process that was used in the present study. A total of 162,579 participants were enrolled
General characteristics of participants
| Characteristics | Total participants | P-value | |
|---|---|---|---|
| Asthma | Control | ||
| Age (mean, SD, y) | 55.9 (8.7) | 53.2 (8.4) | < 0.001a |
| Sex (n, %) | 24.4 (3.3) | 23.9 (2.9) | < 0.001a |
| Men | 952 (30.1) | 54,772 (34.4) | |
| Women | 2208 (69.9) | 104,647 (65.6) | |
| BMI (mean, SD, kg/m2) | 24.4 (3.3) | 23.9 (2.9) | < 0.001a |
| Income (n, %) | < 0.001a | ||
| Missing, no response | 471 (14.9) | 20,322 (12.7) | |
| Lowest | 1125 (35.6) | 44,950 (28.2) | |
| Middle | 996 (31.5) | 59,632 (37.4) | |
| Highest | 568 (18.0) | 34,515 (21.7) | |
| Smoking status (n, %) | < 0.001a | ||
| Nonsmoker | 2344 (74.2) | 116,244 (72.9) | |
| Past smoker | 510 (16.1) | 23,320 (14.6) | |
| Current smoker | 306 (9.7) | 19,855 (12.5) | |
| Alcohol consumption (n, %) | < 0.001a | ||
| Non drinker | 1804 (57.1) | 81,011 (50.8) | |
| Past drinker | 176 (5.6) | 6091 (3.8) | |
| Current drinker | 1180 (37.3) | 72,317 (45.4) | |
| Nutritional intake | |||
| Total calories (kcal/d) | 1722.6 (574.5) | 1755.6 (582.6) | 0.002a |
| Protein (g/d) | 57.8 (25.5) | 59.7 (26.9) | < 0.001a |
| Fat (g/d) | 26.5 (17.3) | 28.1 (18.5) | < 0.001a |
| Carbohydrate (g/d) | 309.1 (96.4) | 311.8 (95.3) | 0.117 |
| Calcium (mg/d) | 449.3 (287.4) | 450.4 (273.1) | 0.839 |
| Phosphorus (mg/d) | 878.5 (371.9) | 898.6 (375.2) | 0.003a |
| Potassium (mg/d) | 2233.8 (1142.2) | 2271.1 (1109.4) | 0.069 |
| Osteoporosis (n, %) | 430 (13.6) | 10,782 (6.8) | < 0.001a |
SD, standard deviation; BMI, body mass index
a Independent T-test or Chi square test. Significance at P < 0.05
Crude and adjusted odds ratios (95% confidence interval) for osteoporosis in asthma and control groups
| Characteristics | Odds ratios for osteoporosis | |||
|---|---|---|---|---|
| Crude | P-value | Adjustedb | P-value | |
| Total participants (n = 162,579) | ||||
| Asthma | 2.17 (1.96–2.41) | < 0.001a | 1.74 (1.55–1.94) | < 0.001a |
| Control | 1.00 | 1.00 | ||
| Age < 53 years old (n = 80,370) | ||||
| Asthma | 1.81 (1.37–2.40) | < 0.001a | 1.60 (1.20–2.12) | 0.001a |
| Control | 1.00 | 1.00 | ||
| Age ≥ 53 years old (n = 82,209) | ||||
| Asthma | 1.90 (1.70–2.13) | < 0.001a | 1.80 (1.59–2.03) | < 0.001a |
| Control | 1.00 | 1.00 | ||
| Men (n = 55,724) | ||||
| Asthma | 2.79 (1.81–4.30) | < 0.001a | 2.17 (1.40–3.36) | 0.001a |
| Control | 1.00 | 1.00 | ||
| Women (n = 106,855) | ||||
| Asthma | 2.07 (1.86–2.31) | < 0.001a | 1.73 (1.54–1.94) | < 0.001a |
| Control | 1.00 | 1.00 | ||
a Logistic regression model, Significance at P < 0.05
b Models adjusted for age, sex, income group, BMI, smoking, alcohol consumption, and nutritional intake (total calories, protein, fat, carbohydrate, calcium, phosphorous, and potassium intake)
Crude and adjusted odds ratios (95% confidence interval) for osteoporosis according to the condition of asthma management
| Characteristics | Odds ratios for osteoporosis | |||
|---|---|---|---|---|
| Crude | P-value | Adjustedb | P-value | |
| Total participants (n = 155,506) | ||||
| Well controlled | 1.71 (1.34–2.19) | < 0.001a | 1.43 (1.10–1.86) | 0.008a |
| Being treated | 2.06 (1.72–2.47) | < 0.001a | 1.55 (1.28–1.89) | < 0.001a |
| Not being treated | 2.36 (2.02–2.74) | < 0.001a | 1.96 (1.66–2.31) | < 0.001a |
| Control | 1.00 | 1.00 | ||
| Age < 53 years old (n = 76,816) | ||||
| Well controlled | 1.35 (0.72–2.54) | 0.356 | 1.20 (0.63–2.28) | 0.579 |
| Being treated | 1.88 (1.10–3.22) | 0.022a | 1.66 (0.96–2.88) | 0.072 |
| Not being treated | 1.97 (1.35–2.89) | 0.001a | 1.75 (1.18–2.58) | 0.005a |
| Control | 1.00 | 1.00 | ||
| Age ≥ 53 years old (n = 78,690) | ||||
| Well controlled | 1.69 (1.29–2.23) | < 0.001a | 1.51 (1.13–2.02) | 0.005a |
| Being treated | 1.59 (1.31–1.93) | < 0.001a | 1.56 (1.26–1.92) | < 0.001a |
| Not being treated | 2.22 (1.87–2.63) | < 0.001a | 2.05 (1.71–2.47) | < 0.001a |
| Control | 1.00 | 1.00 | ||
| Men (n = 53,717) | ||||
| Well controlled | N/A | 0.996 | N/A | 0.996 |
| Being treated | 2.30 (1.08–4.88) | 0.031a | 1.61 (0.75–3.45) | 0.218 |
| Not being treated | 4.00 (2.28–7.00) | < 0.001a | 3.43 (1.95–6.04) | < 0.001a |
| Control | 1.00 | 1.00 | ||
| Women (n = 102,335) | ||||
| Well controlled | 1.58 (1.23–2.04) | < 0.001a | 1.49 (1.14–1.95) | 0.003a |
| Being treated | 2.12 (1.75–2.57) | < 0.001a | 1.55 (1.27–1.91) | < 0.001a |
| Not being treated | 2.16 (1.84–2.54) | < 0.001a | 1.88 (1.59–2.24) | < 0.001a |
| Control | 1.00 | 1.00 | ||
a Logistic regression model, Significance at P < 0.05
b Models adjusted for age, sex, income group, BMI, smoking, alcohol consumption, and nutritional intake (total calories, protein, fat, carbohydrate, calcium, phosphorous, and potassium intake)