| Literature DB >> 33180769 |
Sharon A M Stevelink1,2, Elena Opie1, David Pernet1, He Gao3, Paul Elliott3,4,5,6, Simon Wessely1, Nicola T Fear1,7, Matthew Hotopf2,8, Neil Greenberg1.
Abstract
INTRODUCTION: Police employees undertake challenging duties which may adversely impact their health. This study explored the prevalence of and risk factors for probable mental disorders amongst a representative sample of UK police employees. The association between mental illness and alterations in blood pressure was also explored.Entities:
Year: 2020 PMID: 33180769 PMCID: PMC7660485 DOI: 10.1371/journal.pone.0240902
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of police employees across probable mental disorders.
| Characteristics | All participants | Probable depression (PHQ ≥10) | Probable anxiety (HADSA ≥11) | Probable PTSD (TSQ ≥6) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes | p-value | No | Yes | p-value | No | Yes | p-value | ||
| 40299 (100.0) | 35708 (90.2) | 3870 (9.8) | 36229 (91.5) | 3349 (8.5) | 36318 (96.1) | 1474 (3.9) | ||||
| <0.001 | <0.001 | 0.211 | ||||||||
| Female | 14900 (37.0) | 12835 (87.5) | 1827 (12.5) | 12859 (87.7) | 1803 (12.3) | 13543 (96.3) | 526 (3.7) | |||
| Male | 25399 (63.0) | 22873 (91.8) | 2043 (8.2) | 23370 (93.8) | 1546 (6.2) | 22775 (96.0) | 948 (4.0) | |||
| <0.001 | 0.045 | <0.001 | ||||||||
| < 30 years | 5278 (13.1) | 4604 (88.8) | 580 (11.2) | 4717 (91.0) | 467 (9.0) | 4772 (96.7) | 163 (3.3) | |||
| 30–39 years | 13177 (32.7) | 11648 (89.9) | 1305 (10.1) | 11859 (91.6) | 1094 (8.5) | 11869 (96.3) | 460 (3.7) | |||
| 40–49 years | 15929 (39.5) | 14132 (90.4) | 1493 (9.6) | 14279 (91.4) | 1346 (8.6) | 14237 (95.5) | 668 (4.5) | |||
| > 49 years | 5915 (14.7) | 5324 (91.5) | 492 (8.5) | 5374 (92.4) | 442 (7.6) | 5440 (96.8) | 183 (3.3) | |||
| <0.001 | <0.001 | 0.337 | ||||||||
| Married/cohabiting | 31127 (77.7) | 28087 (91.5) | 2624 (8.5) | 28331 (92.3) | 2380 (7.8) | 28173 (96.2) | 1126 (3.8) | |||
| Single | 4758 (11.9) | 4056 (86.1) | 653 (13.9) | 4207 (89.3) | 502 (10.7) | 4326 (96.2) | 173 (3.9) | |||
| Divorced/separated | 3239 (8.1) | 2722 (85.1) | 475 (14.9) | 2830 (88.5) | 367 (11.5) | 2931 (95.9) | 127 (4.2) | |||
| Other | 918 (2.3) | 802 (87.8) | 111 (12.2) | 815 (89.3) | 98 (10.7) | 847 (95.1) | 44 (4.9) | |||
| <0.001 | 0.704 | 0.216 | ||||||||
| White | 37926 (94.8) | 33787 (90.4) | 3605 (9.6) | 34226 (91.5) | 3166 (8.5) | 34325 (96.1) | 1380 (3.9) | |||
| Other | 2087 (5.2) | 1816 (87.9) | 250 (12.1) | 1896 (91.8) | 170 (8.2) | 1882 (95.6) | 87 (4.4) | |||
| <0.001 | 0.055 | 0.491 | ||||||||
| Vocational qualifications | 2818 (7.0) | 2464 (88.6) | 318 (11.4) | 2553 (91.8) | 229 (8.2) | 2545 (95.6) | 116 (4.4) | |||
| GCSE equivalent or below | 13374 (33.4) | 11803 (89.6) | 1375 (10.4) | 12016 (91.2) | 1162 (8.8) | 11963 (96.1) | 486 (3.9) | |||
| A levels/higher or equivalent | 12728 (31.8) | 11369 (90.4) | 1210 (9.6) | 11580 (92.1) | 999 (7.9) | 11606 (96.1) | 475 (3.9) | |||
| Bachelor/postgraduate degree | 11122 (27.8) | 10031 (90.2) | 960 (8.7) | 10034 (91.3) | 957 (8.7) | 10163 (96.3) | 393 (3.7) | |||
| <0.001 | <0.001 | <0.001 | ||||||||
| Police staff | 10406 (28.6) | 9082 (88.9) | 1134 (11.1) | 9156 (89.6) | 1060 (10.4) | 9445 (97.0) | 289 (3.0) | |||
| Police constable/sergeant | 23256 (63.8) | 20606 (90.4) | 2181 (9.6) | 21009 (92.2) | 1778 (7.8) | 20688 (95.7) | 931 (4.3) | |||
| Inspector or above | 2782 (7.6) | 2569 (93.9) | 166 (6.1) | 2555 (93.4) | 180 (6.6) | 2487 (95.7) | 112 (4.3) | |||
| <0.001 | <0.001 | 0.831 | ||||||||
| No | 35670 (88.8) | 31472 (89.9) | 3556 (10.2) | 31962 (91.3) | 3066 (8.8) | 32136 (96.1) | 1304 (3.9) | |||
| Yes | 4508 (11.2) | 4130 (93.3) | 299 (6.8) | 4158 (93.9) | 271 (6.1) | 4067 (96.0) | 168 (4.0) | |||
| <0.001 | <0.001 | 0.857 | ||||||||
| No | 36286 (90.2) | 32323 (90.7) | 3317 (9.3) | 32720 (91.8) | 2920 (8.2) | 32729 (96.1) | 1328 (3.9) | |||
| Yes | 3961 (9.8) | 3340 (85.9) | 547 (14.1) | 3463 (89.1) | 424 (10.9) | 3541 (96.0) | 146 (4.0) | |||
| <0.001 | <0.001 | <0.001 | ||||||||
| Non-drinker | 3649 (9.1) | 3151 (87.4) | 455 (12.6) | 3234 (89.7) | 372 (10.3) | 3323 (95.7) | 149 (4.3) | |||
| Low risk | 22097 (55.2) | 19754 (90.6) | 2047 (9.4) | 20082 (92.1) | 1719 (7.9) | 20240 (96.6) | 706 (3.4) | |||
| Increasing risk | 13061 (32.6) | 11683 (91.1) | 1136 (8.9) | 11746 (91.6) | 1073 (8.4) | 11565 (95.6) | 538 (4.5) | |||
| High risk | 1211 (3.0) | 968 (81.4) | 221 (18.6) | 1019 (85.7) | 170 (14.3) | 1027 (92.8) | 80 (7.2) | |||
| 27.22 (4.2) | 27.10 (4.1) | 28.32 (5.0) | <0.001 | 27.20 (4.2) | 27.37 (4.7) | 0.025 | 27.15 (4.2) | 28.24 (4.6) | <0.001 | |
BMI, body mass index; GCSE, General Certificate of Secondary Education; HADSA, hospital anxiety and depression scale; PHQ, patient health questionnaire; PTSD, post-traumatic stress disorder; SD, standard deviation; TSQ, trauma screening questionnaire. #Alcohol drinking was based on alcohol units calculated from different type of drinks/beverages consumed in the past week using sex-specific cut offs: non-drinker, not drinking alcohol; low risk <14 units men and women; increasing risk 14–35 units for women, 14–50 units for men; high risk >35 units women and >50 units for men. was missing if a participant did not attend the health screening. Other missing values were due to no assessment of those participant characteristics in a specific version of the questionnaire or no response received from participants. P-values have been derived from the Chi2 test for categorical variables and independent t-test for continuous variables.
Clinical features of police employees across probable mental disorders.
| All participants N = 40299 | Probable depression (PHQ ≥10) Mean (SD) | Probable anxiety (HADSA ≥11) Mean (SD) | Probable PTSD (TSQ ≥6) Mean (SD) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes | p-value | No | Yes | p-value | No | Yes | p-value | ||
| SBP (mmHg) mean (SD) | 129.84 (15.0) | 129.90 (15.0) | 128.86 (14.9) | <0.001 | 129.97 (14.9) | 127.96 (15.4) | <0.001 | 129.67 (15.0) | 129.87 (14.8) | 0.617 |
| DBP (mmHg) mean (SD) | 79.16 (10.0) | 79.06 (10.0) | 79.76 (10.4) | <0.001 | 79.14 (10.0) | 79.10 (10.4) | 0.816 | 79.06 (10.0) | 79.96 (10.1) | <0.001 |
| Pulse rate (bpm) | 69.62 (11.3) | 69.44 (11.3) | 71.45 (11.4) | <0.001 | 69.45 (11.3) | 71.60(11.3) | <0.001 | 69.52 (11.3) | 70.21 (11.5) | 0.021 |
| Self-reported diagnosis of hypertension N (%) | N (%) | N (%) | <0.001 | N (%) | N (%) | <0.001 | N (%) | N (%) | 0.083 | |
| No | 37833 (94.0) | 33603 (90.4) | 3555 (9.6) | 34080 (91.7) | 3078 (8.3) | 34104 (96.1) | 1370 (3.9) | |||
| Yes | 2401 (6.0) | 2056 (86.9) | 309 (13.1) | 2098 (88.7) | 267 (11.3) | 2162 (95.4) | 104 (4.6) | |||
SBP, Systolic Blood Pressure; DBP, Diastolic Blood Pressure. HADSA, hospital anxiety and depression scale; PHQ, patient health questionnaire; PTSD, post-traumatic stress disorder; SD, standard deviation; TSQ, trauma screening questionnaire. Missing values were due to no assessment of those participant characteristics in a specific version of the questionnaire or no response received from participants. P-values have been derived from the Chi2 test for categorical variables and independent t-test for continuous variables.
Associations between systolic blood pressure across probable mental disorders.
| Difference in mean SBP (mmHg) | ||||
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | |
| β (95% CI) | β (95% CI) | β (95% CI) | β (95% CI) | |
| Symptoms of depression | 0.46 (-0.01, 0.93) | |||
| Symptoms of anxiety | 0.33 (-0.15, 0.80) | 0.40 (-0.11, 0.89) | 0.23 (-0.27, 0.72) | |
| Symptoms of PTSD | 0.20 (-0.58, 0.98) | -0.08 (-0.77, 0.61) | 0.27 (-0.46, 1.00) | 0.10 (-0.63, 0.83) |
CI, confidence interval; PTSD, post-traumatic stress disorder; SBP, Systolic Blood Pressure. Multivariate linear regression analyses were used.
Model 1: unadjusted model.
Model 2: adjusted model for gender and age (continuous).
Model 3: adjusted model for gender, age, educational attainment, marital status, ethnicity, job role.
Model 4: adjusted for gender, age, educational attainment, marital status, ethnicity, job role, BMI, exercise, smoking and alcohol consumption.
Associations between diastolic blood pressure across probable mental disorders.
| Difference in mean DBP (mmHg) | ||||
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | |
| β (95% CI) | β (95% CI) | β (95% CI) | β (95% CI) | |
| Symptoms of depression | ||||
| Symptoms of anxiety | -0.04 (-0.40, 0.31) | |||
| Symptoms of PTSD | ||||
CI, confidence interval; DBP, Diastolic Blood Pressure; PTSD, post-traumatic stress disorder. Multivariate linear regression analyses were used.
Model 1: unadjusted model.
Model 2: adjusted model for gender and age (continuous).
Model 3: adjusted model for gender, age, educational attainment, marital status, ethnicity, job role.
Model 4: adjusted for gender, age, educational attainment, marital status, ethnicity, job role, BMI, exercise, smoking and alcohol consumption.