| Literature DB >> 30058632 |
Roshan Neupane1, Tulsi Ram Bhandari1.
Abstract
INTRODUCTION: Non-communicable diseases have along duration and slow progression. It is estimated that the attribution of NCDs in mortality has been rising gradually in Nepal. This study aimed to estimate the prevalence and factors associated with NCDs in Biratnagar, Nepal.Entities:
Keywords: government employees; non-communicable diseases; risk factors; WHO STEPS survey.
Mesh:
Year: 2018 PMID: 30058632 PMCID: PMC8997319
Source DB: PubMed Journal: JNMA J Nepal Med Assoc ISSN: 0028-2715 Impact factor: 0.406
Prevalence of NCDs (high blood pressure, diabetes and CVD) among government employees.
| Prevalence of NCDs | n (%) |
| Hypertension | 60 (18.6) |
| Hypertension and diabetes mellitus | 11 (3.4) |
| Hypertension, diabetes mellitus and | 1 (0.3) |
| cardio vascular diseases | |
| Any type NCDs | 72 (22.3) |
Figure 1.Distribution number of risk factors of NCDs: not any factor, smoking, alcohol use, high salt intake, physically inactive and history of high blood pressure, diabetes and heart disease among government employees.
Association of the risk factors for hypertension among government employees.
| Risk factors | Hypertension | Total |
| P value | |
|---|---|---|---|---|---|
| Yes n (%) | No n (%) | ||||
| Smoking | |||||
| Yes | 16 (30.8) | 36 (69.2) | 52 | 6.092 | <0.05 |
| No | 44 (16.2) | 227 (83.8.) | 271 | ||
| Alcohol use | |||||
| Yes | 45 (54.1) | 142 (75.9) | 187 | 8.845 | <0.01 |
| No | 15 (11) | 121 (89) | 136 | ||
| Hard exercise | |||||
| Yes | 33 (17.5) | 156 (82.5) | 189 | 0.375 | 0.540 |
| No | 27 (20.1) | 107 (79.9) | 134 | ||
| Medium exercise | |||||
| Yes | 50 (16.8) | 248 (83.2) | 298 | 6.759 | <0.05 |
| No | 10 (40) | 15 (60) | 25 | ||
| Sitting duration in a day | |||||
| Median and below | 29 (19.1) | 123 (80.9) | 152 | 0.094 | 0.759 |
| Above the median | 30 (17.8) | 139 (82.2) | 169 | ||
| History of high blood pressure | |||||
| Yes | 18 (19.6) | 74 (80.4) | 92 | 0.083 | 0.773 |
| No | 42 (18.2) | 189 (81.8) | 231 | ||
P value significant at a < 0.05
at a < 0.01
Likelihood ratio
Association of risk factors for diabetes among government employees.
| Risk factors | Diabetes | Total |
| P value | |
|---|---|---|---|---|---|
| Yes n (%) | No n (%) | ||||
| Smoking | |||||
| Yes | 7 (13.5) | 45 (86.5) | 52 | 6.43T | <0.05* |
| No | 12 (4.4) | 259 (95.6) | 271 | ||
| Alcohol use | |||||
| Yes | 16 (8.6) | 171 (91.4) | 187 | 5.735 | <0.05 |
| No | 3 (2.2) | 133 (97.8) | 136 | ||
| Hard exercise | |||||
| Yes | 10 (5.3) | 179 (94.7) | 189 | 0.288 | 0.592 |
| No | 9 (6.7) | 125 (93.3) | 134 | ||
| Medium exercise | |||||
| Yes | 15 (5) | 283 (95) | 298 | 3.635 | <0.05 |
| No | 4 (16) | 21 (84) | 25 | ||
| Sitting duration in a day | |||||
| Median and below | 9 (5.9) | 143 (94.1) | 152 | <0.001 | 0.999 |
| Above the median | 10 (5.9) | 159 (94.1) | 169 | ||
| History of hypertension | |||||
| Yes | 8 (7.4) | 100 (92.6) | 108 | 0.682 | 0.409 |
| No | 11 (5.1) | 204 (94.9) | 215 | ||
P value significant at a <0.05
Likelihood ratio
Association of the risk factors forcardiovascular diseases among government employees.
| Risk factors | Cardiovascular disease | Total | X[ | P value | |
|---|---|---|---|---|---|
| Yes n (%) | No n (%) | ||||
| Smoking | |||||
| Yes | 1 (1.9) | 51 (98.1) | 52 | 0.001 | 0.970 |
| No | 5 (1.8) | 266 (98.2) | 271 | ||
| Alcohol use | |||||
| Yes | 4 (2.1) | 183 (97.9) | 187 | 0.198 | 0.657 |
| No | 2 (1.5) | 134 (98.5) | 136 | ||
| Hard exercise | |||||
| Yes | 4 (2.1) | 185 (97.9) | 189 | 0.171 | 0.679 |
| No | 2 (1.5) | 132 (98.5) | 134 | ||
| Medium exercise | |||||
| Yes | 6 (2.0) | 292 (98) | 298 | 0.976 | 0.323 |
| No | 0 | 25 (100) | 25 | ||
| Sitting duration in a day | |||||
| Median and below | 3 (2.0) | 149 (98) | 152 | 0.017 | 0.896 |
| Above the median | 3 (1.8) | 166 (98.2) | 169 | ||
| History of high blood pressure | |||||
| Yes | 3 (5.0) | 57 (95) | 60 | 3.090 | 0.079 |
| No | 3 (1.1) | 260 (98.9) | 263 | ||
Smoking and use of alcohol among government employees.
| Risk factors | Yes n (%) | No n (%) | Total | |
|---|---|---|---|---|
| Smoking | ||||
| Currently smoking any tobacco products | 59 (18.3) | 264 (81.7) | 323 | |
| Currently smoking any tobacco products daily | 37 (62.7) | 22 (37.3) | 59 | |
| Tried to stop smoking in past 12 months | 21 (35.6) | 38 (64.4) | 59 | |
| Ever smoke any tobacco products in past | 53 (16.4) | 270 (83.6) | 323 | |
| Ever smoke any tobacco products daily in past | 37 (69.8) | 16 (30.2) | 53 | |
| Currently, use any smokeless any tobacco products | 98 (30.3) | 225 (69.7) | 323 | |
| Currently use any smokeless any tobacco products daily | 94 (95.6) | 4 (4.4) | 98 | |
| Ever use any smokeless any tobacco products in past | 98 (30.3) | 225 (69.7) | 323 | |
| Alcohol use | ||||
| Ever consumed alcohol products | 187 (57.9) | 136 (42.1) | 323 | |
| Ever consumed any alcohol products in past 12 months | 153 (81.8) | 34 (18.2) | 187 | |
| Consumption of any alcoholic drink within past 30 days | 135 (88.2) | 18 (11.8) | 153 | |
Physical activities of the government employees.
| Type of exercise (n = 323) | Yes n (%) | No n (%) | Minimum | Maximum | Median | IQR |
|---|---|---|---|---|---|---|
| Hard exercise | 189 (58.5) | 134 (41.5) | 1 | 7 | 3 | 2 |
| Medium exercise | 298 (92.3) | 25 (7.7) | 1 | 7 | 5 | 2 |
| Heavy recreational exercise | 169 (52.3) | 154 (47.7) | 1 | 7 | 2 | 3 |
| Medium recreational exercise | 175 (54.2) | 148 (45.8) | 1 | 7 | 3 | 3 |
| Medium sitting hours in a day (n=321) | 2 hrs. | 10hrs. | 7 hrs. | 3 |
Interquartile range
NCDs condition and care seeking among government employees.
| Conditions | High blood pressure n (%) | Diabetes n (%) | Cardiovascular diseases n (%) |
|---|---|---|---|
| History | 92 (28.5) | 108 (33.4) | 60 (18.6) |
| Check-up | 244 (75.5) | 165 (51.1) | 94 (29.1) |
| Presence | 60 (18.6) | 19 (5.9) | 6 (1.9) |
| Traditional check up | 14 (23.3) | 8 (42.1) | 2 (33.3) |
| Traditional medication | 14 (23.3) | 7 (36.8) | 2 (33.3) |