| Literature DB >> 30518346 |
Naila A Shaheen1,2, Abdulrahman A Alqahtani3, Hussam Assiri3, Reem Alkhodair4, Mohamed A Hussein5,6.
Abstract
BACKGROUND: Dehydration results from a decrease in total body water content either due to less intake or more fluid loss. Common symptoms of dehydration are dry mouth/tongue, thirst, headache, and lethargy. The aim of this study was to assess knowledge of dehydration definition, symptoms, causes, prevention, water intake recommendations and water intake practices among people living in Riyadh, Saudi Arabia.Entities:
Keywords: Dehydration; Dehydration causes; Dehydration symptoms; Fluid intake; Water intake
Mesh:
Year: 2018 PMID: 30518346 PMCID: PMC6282244 DOI: 10.1186/s12889-018-6252-5
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Participants’ Demographic Characteristics
| Demographics | Statistics |
|---|---|
| Age (mean ± SD) | 32.32 ± 8.78 |
| Gender n (%) | |
| Female | 209(53.18) |
| Male | 184(46.82) |
| BMI (mean ± SD) | 20.08 ± 4.96 |
| Education Level (highest) n(%) | |
| Primary & Secondary | 16(4.07) |
| Diploma | 122(31.04) |
| University | 255(64.89) |
| Monthly Income (Saudi Riyals) n(%) | |
| < 3000 | 118(30.03) |
| ≥ 3000–4900 | 52(13.23) |
| 5000–8999 | 93(23.66) |
| ≥ 9000- 14,999 | 79(20.10) |
| ≥ 15,000 | 51(12.98) |
| Occupation n(%) | |
| Professionals | 123(31.3) |
| Clerical Support/ Sales Workers | 88(22.4) |
| Housewife | 60(15.3) |
| Managers | 44(11.2) |
| Students | 36(9.2) |
| Armed forces | 23(5.9) |
| Technicians | 18(4.6) |
| Nationality n(%) | |
| Saudi | 273(69.6) |
| Non- Saudi | 120(30.5) |
| Reported Chronic Health Conditions | |
| High blood pressure | 54(13.74) |
| Diabetes mellitus | 26(6.62) |
| Kidney stones | 16(4.07) |
| Heart disease | 5(1.27) |
Knowledge of dehydration definition, prevention, consequences, and water intake recommendation
| Knowledge Questions | Selected | Not Selected |
|---|---|---|
| Knowledge of dehydration definition |
|
|
| Which of the following statements in your understanding describes dehydration? | ||
| I can become dehydrated if I don’t drink enough fluids (e.g. water/milk/juice/tea) | 363(92.37) a | 30(7.63) |
| I can become dehydrated if I don’t eat properly | 38(9.67) b | 355(90.33) |
| I can become dehydrated if I don’t get enough sleep | 33(8.40) c | 360(91.60) |
| Overall Knowledge |
|
|
| 366(93.13) | 27(6.87) | |
| Knowledge of dehydration prevention |
|
|
| In your opinion, which of the following reduces risk of dehydration? | Correct Choice | Incorrect Choice |
| Drinking enough fluids (water/milk/juice/tea) | 350(89.06) | 43(10.94) |
| By consuming foods with high water content (e.g. watermelon, oranges, apples) | 247(62.85) | 146(37.15) |
| In hot climate replenish fluids as priority | 350(89.06) | 43(10.94) |
| Overall Knowledge |
|
|
| 332(84.48) | 61(15.52) | |
| Knowledge of dehydration consequences |
|
|
| In your opinion, which of the following conditions may be caused by severe dehydration? | Correct Choice | Incorrect Choice |
| Kidney stones | 312(79.39) | 81(20.61) |
| Death | 171(43.51) | 222(56.49) |
| Brain damage | 85(21.63) | 308(78.73) |
| Seizure | 57(14.50) | 336(85.50) |
| Knowledge of water intake recommendation |
|
|
| In your opinion, what is the minimum requirement to drink water for an average weight (70 kg) human? |
| |
| 1 Litre | - | 31(7.89) |
| 2 Litre | 150(38.17) | - |
| 3 Litre | 143(36.39) | - |
| 4 Litre | - | 69(17.56) |
| Overall Knowledge |
|
|
| 293(74.55) | 100(25.45) | |
Selection of a or b is correct while c is incorrect choice
Fig. 1Knowledge of Dehydration Symptoms among Participants
Fig. 2Knowledge of Dehydration Causes among Participants
Participants’ characteristics and fluid intake across reported water glasses consumption
| Predictors | Rate Ratio | 95% Confidence Limits | |
|---|---|---|---|
| Intercept | 6.782 | 4.562–10.081 | < 0.0001 |
| Age (with 10 years increment) | 0.909 | 0.844–0.980 |
|
| Gender (males vs | 1.029 | 0.915–1.158 | 0.629 |
| Education (diploma vs. | 0.786 | 0.593–1.042 | 0.095 |
| Education (university vs. | 0.870 | 0.661–1.145 | 0.322 |
| History of diabetes mellitus (yes vs. | 0.910 | 0.722–1.147 | 0.426 |
| History of high blood pressure (yes vs. | 1.150 | 0.981–1.347 | 0.083 |
| History of heart disease (yes vs. | 0.957 | 0.591–1.550 | 0.859 |
| History of kidney stones (yes vs. | 0.973 | 0.737–1.284 | 0.849 |
| BMI (underweight vs. | 1.724 | 1.346–2.207 |
|
| BMI (overweight vs. | 1.174 | 1.032–1.336 |
|
| BMI (obese vs. | 1.129 | 0.980–1.301 | 0.092 |
| Prior hospitalization due to dehydration (yes vs. | 0.772 | 0.671–0.887 |
|
| Coffee intake | 1.015 | 0.984–1.046 | 0.336 |
| Juice intake | 1.056 | 1.007–1.108 |
|
| Tea intake | 1.038 | 1.002–1.076 |
|
| Soda intake | 0.980 | 0.932–1.031 | 0.445 |
*p-value is based on the negative binomial model