Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Population
2.2. Ethics Statement
2.3. Data Collection and Measurement
2.4. Assessment Criteria
2.5. Clustering of CVD Risk Factors
2.6. Statistical Analyses
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Category | Subcategory | Total (n = 3720) | General Hospital (n = 2000) | TCM Hospital (n = 1720) | χ2 | p |
---|---|---|---|---|---|---|
Gender | Man | 1388 (37.31%) | 769 (38.45%) | 619 (35.99%) | 2.40 | 0.12 |
Woman | 2332 (62.69%) | 1231 (61.55%) | 1101 (64.01%) | |||
Age | 18–44 | 2761 (74.22%) | 1453 (72.65%) | 1308 (76.05%) | 5.58 | 0.02 |
45–60 | 959 (25.78%) | 547 (27.35%) | 412 (23.95%) | |||
Marriage | Unmarried | 638 (17.15%) | 319 (15.95%) | 319 (18.55%) | 5.69 | 0.06 |
Married | 2955 (79.44%) | 1618 (80.9%) | 1337 (77.73%) | |||
Other | 127 (3.41%) | 63 (3.15%) | 64 (3.72%) | |||
Education | Post-secondary Education | 1083 (29.11%) | 449 (22.45%) | 634 (36.86%) | 94.60 | <0.001 |
Undergraduate | 2318 (62.31%) | 1353 (67.65%) | 965 (56.1%) | |||
Postgraduate | 319 (8.58%) | 198 (9.9%) | 121 (7.03%) | |||
Occupation | Doctor | 1860 (50%) | 1000 (50%) | 860 (50%) | 0.00 | 1 |
Nurse | 930 (25%) | 500 (25%) | 430 (25%) | |||
Medical Technician | 930 (25%) | 500 (25%) | 430 (25%) |
Category | Subcategory | Hypertension | Diabetes | Dyslipidemia | Overweight | Smoking | Drinking |
---|---|---|---|---|---|---|---|
Total | N (%) | 392 (10.54%) | 141 (3.79%) | 638 (17.15%) | 1482 (39.84%) | 367 (9.87%) | 809 (21.75%) |
Hospital Category | General Hospital | 229 (11.45%) | 92 (4.60%) | 397 (19.85%) | 793 (39.65%) | 199 (9.95%) | 454 (22.70%) |
TCM Hospital | 163 (9.48%) | 49 (2.85%) | 241 (14.01%) | 689 (40.06%) | 168 (9.77%) | 355 (20.64%) | |
χ2 | 3.82 | 7.78 | 22.18 | 0.06 | 0.04 | 2.31 | |
p | 0.05 | <0.01 | <0.001 | 0.80 | 0.85 | 0.13 | |
Gender | Man | 238 (17.15%) | 88 (6.34%) | 353 (25.43%) | 852 (61.38%) | 356 (25.65%) | 581 (41.86%) |
Woman | 154 (6.60%) | 53 (2.27%) | 285 (12.22%) | 630 (27.02%) | 11 (0.47%) | 228 (9.78%) | |
χ2 | 102.60 | 39.47 | 106.88 | 428.80 | 620.24 | 526.24 | |
p | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | |
Age | 18–44 | 163 (5.90%) | 49 (1.77%) | 342 (12.39%) | 1006 (36.44%) | 262 (9.49%) | 596 (21.59%) |
45–60 | 229 (23.88%) | 92 (9.59%) | 296 (30.87%) | 476 (49.64%) | 105 (10.95%) | 213 (22.21%) | |
χ2 | 243.96 | 119.32 | 171.05 | 51.74 | 1.71 | 0.16 | |
p | <0.001 | <0.001 | <0.001 | <0.001 | 0.19 | 0.69 | |
Marriage | Unmarried | 11 (1.72%) | 7 (1.10%) | 43 (6.74%) | 198 (31.03%) | 59 (9.25%) | 124 (19.44%) |
Married | 360 (12.18%) | 127 (4.30%) | 569 (19.26%) | 1224 (41.42%) | 292 (9.88%) | 660 (22.34%) | |
Other | 21 (16.54%) | 7 (5.51%) | 26 (20.47%) | 60 (47.24%) | 16 (12.60%) | 25 (19.69%) | |
χ2 | 65.90 | 15.81 | 58.87 | 26.63 | 1.34 | 2.92 | |
p | <0.001 | <0.001 | <0.001 | <0.001 | 0.51 | 0.23 | |
Education | Post-secondary Education | 156 (14.40%) | 62 (5.72%) | 198 (18.28%) | 487 (44.97%) | 131 (12.1%) | 233 (21.51%) |
Undergraduate | 213 (9.19%) | 75 (3.24%) | 385 (16.61%) | 885 (38.18%) | 208 (8.97%) | 472 (20.36%) | |
Postgraduate | 23 (7.21%) | 4 (1.25%) | 55 (17.24%) | 110 (34.48%) | 28 (8.78%) | 104 (32.6%) | |
χ2 | 25.40 | 18.70 | 1.46 | 18.37 | 8.56 | 24.73 | |
p | <0.001 | <0.001 | 0.48 | <0.001 | 0.01 | <0.001 | |
Occupation | Doctor | 258 (13.87%) | 99 (5.32%) | 435 (23.39%) | 848 (45.59%) | 253 (13.60%) | 504 (27.10%) |
Nurse | 50 (5.38%) | 15 (1.61%) | 96 (10.32%) | 243 (26.13%) | 13 (1.40%) | 103 (11.08%) | |
Medical Technician | 84 (9.03%) | 27 (2.90%) | 107 (11.51%) | 391 (42.04%) | 101 (10.86%) | 202 (21.72%) | |
χ2 | 50.44 | 26.07 | 102.29 | 100.50 | 105.23 | 93.52 | |
p | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
Category | Subcategory | RFs = 0 | RFs = 1 | RFs = 2 | RFs ≥ 3 | χ2 | p |
---|---|---|---|---|---|---|---|
Total | N (%) | 1707 (45.89%) | 1104 (29.68%) | 518 (13.92%) | 391 (10.51%) | ||
Hospital Category | General Hospital | 819 (40.95%) | 596 (29.80%) | 312 (15.60%) | 273 (13.65%) | 72.27 | <0.001 |
TCM Hospital | 888 (51.63%) | 508 (29.53%) | 206 (11.98%) | 118 (6.86%) | |||
Gender | Man | 265 (19.09%) | 484 (34.87%) | 326 (23.49%) | 313 (22.55%) | 817.29 | <0.001 |
Woman | 1442 (61.84%) | 620 (26.59%) | 192 (8.23%) | 78 (3.34%) | |||
Age | 18–44 | 1419 (51.39%) | 813 (29.45%) | 330 (11.95%) | 199 (7.21%) | 212.09 | <0.001 |
45–60 | 288 (30.03%) | 291 (30.34%) | 188 (19.60%) | 192 (20.02%) | |||
Marriage | Unmarried | 372 (58.31%) | 183 (28.68%) | 58 (9.09%) | 25 (3.92%) | 73.43 | <0.001 |
Married | 1286 (43.52%) | 879 (29.75%) | 443 (14.99%) | 347 (11.74%) | |||
Other * | 49 (38.58%) | 42 (33.07%) | 17 (13.39%) | 19 (14.96%) | |||
Education | Post-secondary Education | 432 (39.89%) | 340 (31.39%) | 174 (16.07%) | 137 (12.65%) | 28.13 | <0.001 |
Undergraduate | 1128 (48.66%) | 664 (28.65%) | 297 (12.81%) | 229 (9.88%) | |||
Postgraduate | 147 (46.08%) | 100 (31.35%) | 47 (14.73%) | 25 (7.84%) | |||
Occupation | Doctor | 681 (36.61%) | 582 (31.29%) | 318 (17.1%) | 279 (15%) | ||
Nurse | 592 (63.66%) | 232 (24.95%) | 80 (8.60%) | 26 (2.80%) | 231.13 | <0.001 | |
Medical Technician | 434 (46.67%) | 290 (31.18%) | 120 (12.90%) | 86 (9.25%) |
Category | Subcategory | The Number of CVD Risk Factors and Adjusted OR (95%CIs) | ||
---|---|---|---|---|
RFs = 1 | RFs = 2 | RFs ≥ 3 | ||
Hospital Category | TCM Hospital | 1 | 1 | 1 |
General Hospital | 1.43 (1.21, 1.69) | 1.95 (1.54, 2.48) | 3.09 (2.26, 4.22) | |
Gender | Woman | 1 | 1 | 1 |
Man | 4.22 (3.47, 5.14) | 9.77 (7.51, 12.71) | 21.87 (15.49, 30.88) | |
Age | 18–44 | 1 | 1 | 1 |
45–60 | 1.58 (1.29, 1.95) | 2.58 (1.96, 3.39) | 3.86 (2.77, 5.38) | |
Marriage | Unmarried | 1 | 1 | 1 |
Married | 1.48 (1.19, 1.84) | 2.11 (1.49, 2.98) | 4.07 (2.46, 6.73) | |
Other * | 1.83 (1.13, 2.96) | 2.35 (1.13, 4.88) | 7.29 (2.87, 18.48) | |
Education | Post-secondary Education | 1 | 1 | 1 |
Undergraduate | 0.80 (0.66, 0.97) | 0.74 (0.56, 0.98) | 0.79 (0.56, 1.12) | |
Postgraduate | 0.79 (0.58, 1.10) | 0.76 (0.48, 1.20) | 0.60 (0.33, 1.1) | |
Occupation | Doctor | 1 | 1 | 1 |
Nurse | 0.82 (0.67, 1.02) | 0.84 (0.61, 1.17) | 0.50 (0.30, 0.84) | |
Medical Technician | 0.95 (0.77, 1.16) | 0.72 (0.54, 0.97) | 0.70 (0.49, 0.98) |
Category | Subcategory | RFs = 1 | RFs = 2 | RFs ≥ 3 | |||
---|---|---|---|---|---|---|---|
TCM Hospital | General Hospital | TCM Hospital | General Hospital | TCM Hospital | General Hospital | ||
Gender | Woman | 1 | 1 | 1 | 1 | 1 | 1 |
Man | 4.54 (3.45, 5.98) | 3.93 (2.95, 5.23) | 9.95 (6.69, 14.79) | 9.53 (6.67, 13.61) | 17.75 (10.20, 30.90) | 24.09 (15.42, 37.64) | |
Age | 18–44 | 1 | 1 | 1 | 1 | 1 | 1 |
45–60 | 1.52 (1.13, 2.05) | 1.65 (1.24, 2.21) | 2.80 (1.86, 4.22) | 2.45 (1.69, 3.55) | 2.96 (1.77, 4.95) | 4.62 (2.97, 7.19) | |
Marriage | Unmarried | 1 | 1 | 1 | 1 | 1 | 1 |
Married | 1.37 (1.01, 1.86) | 1.59 (1.16, 2.19) | 2.17 (1.28, 3.69) | 2.19 (1.37, 3.50) | 5.30 (2.01, 13.99) | 3.74 (2.03, 6.87) | |
Other * | 1.87 (1.03, 3.59) | 1.71 (0.83, 3.53) | 2.48 (0.87, 7.04) | 2.26 (0.79, 6.44) | 9.16 (2.05, 40.99) | 7.04 (2.03, 24.41) | |
Education | Post-secondary Education | 1 | 1 | 1 | 1 | 1 | 1 |
Undergraduate | 0.89 (0.69, 1.14) | 0.65 (0.48, 0.89) | 1.01 (0.7, 1.48) | 0.51 (0.34, 0.77) | 0.96 (0.58, 1.60) | 0.67 (0.41, 1.10) | |
Postgraduate | 0.67 (0.40, 1.10) | 0.79 (0.50, 1.23) | 0.84 (0.4, 1.76) | 0.61 (0.33, 1.11) | 0.73 (0.27, 1.95) | 0.51 (0.23, 1.14) | |
Occupation | Doctor | 1 | 1 | 1 | 1 | 1 | 1 |
Nurse | 0.96 (0.70, 1.32) | 0.71 (0.53, 0.95) | 1.11 (0.67, 1.84) | 0.68 (0.44, 0.99) | 0.53 (0.21, 1.30) | 0.49 (0.26, 0.90) | |
Medical Technician | 1.28 (0.96, 1.71) | 0.68 (0.50, 0.91) | 1.08 (0.70, 1.66) | 0.50 (0.33, 0.74) | 0.85 (0.47, 1.52) | 0.60 (0.38, 0.98) |
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Yu, J.; Jia, H.; Zheng, Z.; Cao, P.; Yu, X. Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China. Healthcare 2021, 9, 1227. https://doi.org/10.3390/healthcare9091227
Yu J, Jia H, Zheng Z, Cao P, Yu X. Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China. Healthcare. 2021; 9(9):1227. https://doi.org/10.3390/healthcare9091227
Chicago/Turabian StyleYu, Jianxing, Huanhuan Jia, Zhou Zheng, Peng Cao, and Xihe Yu. 2021. "Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China" Healthcare 9, no. 9: 1227. https://doi.org/10.3390/healthcare9091227