| Literature DB >> 31827505 |
Yan Gong1, Qiang Zeng1, Yi Yan2, Chaojing Han1, Yansong Zheng1.
Abstract
The aim of this study was to investigate the distribution characteristics of GerdQ results in a Chinese population and the association between lifestyle and GerdQ scores. Among the 37 442 individuals enrolled from September 2009 to March 2016, 7 449 (19.89%) had a GerdQ score of ≥8 points and 29 993 (80.11%) had a GerdQ score of <8 points. The percentage of men with suspected GERD was significantly higher than the percentage of women with suspected GERD (χ 2 = 111.571, P ≤ 0.001), and the prevalence of GERD was higher in the young and middle-aged populations than in the elderly population. The prevalence of GERD increased gradually with weight gain (χ 2 = 145.227, P ≤ 0.001). With regard to lifestyle, the prevalence of GERD in the subjects who smoked (χ 2 = 119.361, P ≤ 0.001), consumed alcohol excessively, lacked physical activity (χ 2 = 86.916, P ≤ 0.001), and had an excessive intake of oil, meat, fish, and eggs showed an ascending trend (χ 2 = 105.388, P ≤ 0.001). In contrast, an adequate intake of vegetables (≥300 g/d) and fruit (≥200 g/d) was associated with a significantly lower incidence of GERD. Suspected GERD is very common in individuals undergoing health examinations. Unhealthy lifestyles are closely related to the high incidence of suspected GERD. GerdQ scores can play a role in screening for GERD.Entities:
Year: 2019 PMID: 31827505 PMCID: PMC6885245 DOI: 10.1155/2019/5753813
Source DB: PubMed Journal: Gastroenterol Res Pract ISSN: 1687-6121 Impact factor: 2.260
Figure 1Distributions of clinical traits between the groups with GerdQ score of ≥8 points and GerdQ score of <8 points. (a) Sex distribution in these two groups. Y-axis represents sex composition. Blue color represents female individuals, and red color represents male individuals. (b) Age distribution of these two groups. (c) Different age groups' change curve of GerdQ score of ≥8 points and GerdQ score of <8 points. (d) Frequency of BMI among these two population groups. (e) Different BMI groups' change curve of GerdQ score of ≥8 points and GerdQ score of <8 points.
Comparisons the clinical data between GerdQ score of ≥8 points and GerdQ score of <8 points.
| Features | GerdQ score of <8 points ( | GerdQ score of ≥8 points |
|
|
|
|---|---|---|---|---|---|
| Gender | 111.571 | ≤0.001∗ | |||
| Female | 8 508 (83.67%) | 1 660 (16.33%) | |||
| Male | 21485 (78.77%) | 5789 (21.23%) | |||
| Age | 12.042 | 0.002∗ | |||
| Young | 10 060 (80.38%) | 2 456 (19.62%) | |||
| Middle-aged | 17 710 (79.67%) | 4 518 (20.33%) | |||
| Elderly | 2 223 (82.39%) | 475 (17.61%) | |||
| BMI | 145.227 | ≤0.001∗ | |||
| <18.5 | 579 (84.16%) | 109 (15.84%) | |||
| 18.5 ≤ BMI<24 | 10 535 (83.02%) | 2 154 (16.98%) | |||
| 24 ≤ BMI< 28 | 13 443 (79.35%) | 3 499 (20.65%) | |||
| ≥28 | 5 436 (76.32%) | 1 687 (23.68%) | |||
| Waist circumstance | 87.99 ± 10.19 | 90.09 ± 10.08 | 16.004 | ≤0.001∗ | |
| Systolic blood pressure | 122.06 ± 15.24 | 122.99 ± 14.89 | 4.760 | ≤0.001∗ | |
| Diastolic blood pressure | 81.93 ± 11.43 | 83.13 ± 11.22 | 8.107 | ≤0.001∗ | |
| Fasting blood glucose (mmol/L)) | 5.88 ± 1.45 | 5.91 ± 1.45 | 2.059 | 0.039∗ | |
| TC (mmol/L) | 4.84 ± 0.95 | 4.89 ± 0.94 | 4.245 | ≤0.001∗ | |
| TG (mmol/L) | 1.79 ± 1.43 | 1.98 ± 1.57 | 9.966 | ≤0.001∗ | |
| HDL-C (mmol/L) | 1.28 ± 0.33 | 1.24 ± 0.32 | 9.137 | ≤0.001∗ | |
| LDL-C (mmol/L) | 3.11 ± 0.82 | 3.14 ± 0.82 | 3.031 | 0.002∗ | |
| UA ( | 340.52 ± 87.41 | 350.51 ± 87.26 | 8.812 | ≤0.001∗ |
BMI: body mass index; TC: cholesterol; TG: triglyceride; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; UA: uric acid. Univariate regression analysis was performed focusing on the 12 background factors, comprised of two continuous variables (age and BMI) and other 10 categorical variables. Student's t test was used to evaluate the correlation between each background factor and GerdQ score (mean ± standard deviation is shown). The level of significance in each factor was set at P value <0.05 (∗).
Figure 2The correlation of ten background factors with the group of GerdQ score of ≥8 points. Blue color represents low-level/inadequate intake, red color represents moderate level intake, and green color represents high level/excessive/adequate intake.
Comparisons of the lifestyles between GerdQ score of ≥8 points and GerdQ score of <8 points.
| Features | GerdQ score of <8 points ( | GerdQ score of ≥8 points ( |
|
|
|---|---|---|---|---|
| Smoking | 119.361 | ≤0.001 | ||
| Non-smoking | 19 909 (81.76%) | 4 443 (18.24%) | ||
| Smoking cessation | 657 (76.22%) | 205 (23.78%) | ||
| Smoking | 9 427 (77.09%) | 2 801 (22.91%) | ||
| Alcohol consumption | 211.635 | ≤0.001 | ||
| Nonexcessive | 21 237 (82.11%) | 4 626 (17.89%) | ||
| Excessive | 8 756 (75.62%) | 2 823 (24.38%) | ||
| Physical activity | 86.916 | ≤0.001 | ||
| Inadequate | 19 827 (78.78%) | 5 339 (21.22%) | ||
| Moderate | 8 305 (82.52%) | 1 759 (17.48%) | ||
| Adequate | 1 861 (84.13%) | 351 (15.87%) | ||
| Salt intake | 80.598 | ≤0.001 | ||
| Control intake | 10 856 (82.62%) | 2 283 (17.38%) | ||
| Over intake | 19 137 (78.74%) | 5 166 (21.26%) | ||
| Daily oil intake | 91.419 | ≤0.001 | ||
| ≥35 g/d | 9 263 (83.14%) | 1 879 (16.86%) | ||
| <35 g/d | 20 730 (78.82%) | 5 570 (21.18%) | ||
| Daily vegetable intake | 10.7289 | 0.001 | ||
| ≥300 g/d | 3 704 (81.93%) | 817 (18.07%) | ||
| <300 g/d | 26 289 (79.85%) | 6 632 (20.15%) | ||
| Daily fruit intake | 45.222 | ≤0.001 | ||
| ≥200 g/d | 8 111 (82.43%) | 1 729 (17.57%) | ||
| <200 g/d | 21 882 (79.28%) | 5 720 (20.72%) | ||
| Daily cereal intake | 6.465 | 0.039 | ||
| <200 g/d | 13 490 (80.13%) | 3 346 (19.87%) | ||
| ≥200 g/d, <400 g | 11 155 (80.58%) | 2 688 (19.42%) | ||
| ≥400 g/d | 5 348 (79.08%) | 1 415 (20.92%) | ||
| Daily meat, fish, and egg intake | 105.388 | ≤0.001 | ||
| <125 g/d | 22 107 (81.36%) | 5 066 (18.64%) | ||
| ≥125 g/d, <225 g/d | 5 873 (77.46%) | 1 709 (22.54%) | ||
| ≥225 g | 2 013 (74.92%) | 674 (25.08%) | ||
| Daily milk intake | 2.249 | 0.134 | ||
| ≥250 g/d | 632 (78.02%) | 178 (21.98%) | ||
| <250 g/d | 29 361 (80.15%) | 7 271 (19.85%) |
Univariate regression analysis was performed focusing on the 10 background factors. The correlation of GerdQ score with 10 variables was assessed using chi-squared test and logistic regression analysis. The level of significance in each factor was set at P value <0.05 (∗).
A stepwise multivariate regression analysis of suspected GERD.
| Features | Odds ratio | Std. err. |
|
| [95% conf. interval] |
|---|---|---|---|---|---|
| Smoking | 1.190 | 0.037 | 5.66 | 0.000 | [1.120-1.264] |
| Alcohol consumption | 1.278 | 0.037 | 8.40 | 0.000 | [1.207-1.353] |
| Salt intake | 0.903 | 0.026 | -3.52 | 0.000 | [0.853-0.956] |
| Physical activity | 0.846 | 0.020 | -7.14 | 0.000 | [0.808-0.886] |
| Age stratification | 1.080 | 0.025 | 3.28 | 0.000 | [1.032-1.132] |
| Waist circumstance | 1.014 | 0.001 | 9.62 | 0.000 | [1.011-1.017] |
| TG (mmol/L) | 1.039 | 0.009 | 4.25 | 0.000 | [1.021-1.057] |
| Fasting blood glucose (mmol/L)) | 0.966 | 0.009 | -3.51 | 0.000 | [0.948-0.985] |
| Daily fruit intake | 0.910 | 0.028 | -3.04 | 0.000 | [0.856-0.967] |
| Daily meat, fish, and egg intake | 1.088 | 0.024 | 3.85 | 0.000 | [1.042-1.135] |
Multivariate regression analysis was performed focusing on the 10 background factors; the normality was tested by the Kolmogorov-Smirnov method. The correlation of GerdQ score with 10 variables was assessed using chi-squared test and logistic regression analysis. The level of significance in each factor was set at P value <0.05 (∗).