| Literature DB >> 35321055 |
Leli Avesta1, Sina Rasoolzadeh2, Mahdi Naeim3, Aziz Kamran2.
Abstract
Objective: This study aimed to determine the prevalence of cardiovascular risk factors in the population of women aged 30 to 60 years covered by health centers in Ardabil.Entities:
Year: 2022 PMID: 35321055 PMCID: PMC8938150 DOI: 10.1155/2022/2843249
Source DB: PubMed Journal: Int J Hypertens Impact factor: 2.420
Frequency distribution of the study's demographic variables.
| Variable |
| Percent | |
|---|---|---|---|
| Marital status | Single | 30 | 3.0 |
| Married | 967 | 96.1 | |
| Waist size (cm) | Normal (less than 80) | 416 | 41.4 |
| High (equal to or above 88) | 590 | 58.6 | |
| Education | Illiterate | 66 | 6.6 |
| Primary | 199 | 19.8 | |
| Middle and high school | 131 | 13 | |
| Diploma | 297 | 29.5 | |
| Bachelor | 274 | 27.2 | |
| Masters | 36 | 3.6 | |
| PhD | 3 | 0.3 | |
| Job | Housewife | 829 | 82.4 |
| Governmental employee | 138 | 13.7 | |
| Freelance | 39 | 3.9 | |
| Smoking | Yes | 11 | 1.1 |
| No | 995 | 98.9 | |
| Region | 1 | 224 | 22.3 |
| 2 | 208 | 20/7 | |
| 3 | 147 | 14.6 | |
| 4 | 205 | 20.4 | |
| 5 | 222 | 22.1 | |
| BMI | Low weight (less than 18.5) | 1 | 0/1 |
| Normal (18.5–24.9) | 221 | 22 | |
| Overweight (25–29.9) | 431 | 42.8 | |
| Obese (above 30) | 353 | 35.1 | |
Frequency distribution of clinical laboratory variables.
| Variable | Number | % | |
|---|---|---|---|
| Systolic blood pressure | Normal | 930 | 92.4 |
| Pre-HTN | 66 | 6.6 | |
| HTN | 10 | 1.0 | |
| Diastolic blood pressure | Normal | 957 | 95.1 |
| Pre-HTN | 43 | 4.3 | |
| HTN | 6 | 0.6 | |
| Triglyceride | Normal (less than 150) | 439 | 43.6 |
| Borderline (150–199) | 389 | 38.7 | |
| High (200–499) | 177 | 17.6 | |
| Very high (above 500) | 1 | 0.1 | |
| Cholesterol | Normal (less than 200) | 682 | 67.8 |
| High (equal to or higher than 200) | 324 | 32.2 | |
| HDL | Low (less than 50) | 777 | 77.2 |
| Suitable (equal to or higher than 50) | 229 | 22.8 | |
| LDL | Normal (less than 130) | 861 | 85.6 |
| High (equal to or higher than 130) | 145 | 14.4 | |
The mean and standard deviation of quantitative variables.
| Variable | Mean | SD | The least | The most |
|---|---|---|---|---|
| Age (years) | 42.98 | 8.45 | 30 | 60 |
| Height (cm) | 161.51 | 6.7 | 98 | 190 |
| Weight (kg) | 74.29 | 11.39 | 44 | 126 |
| Waist circumference (cm) | 91.32 | 10.4 | 55 | 125 |
| Physical activity (daily activity rate) (minutes) | 24.42 | 35.82 | 0 | 360 |
| Fruits (units per day) | 1.9 | 0.902 | 0 | 5 |
| Vegetables (units per day) | 2.1 | 1.07 | 0 | 8 |
| Meat (grams per week) | 286.65 | 174.64 | 0 | 1000 |
| HDL (mg/dl) | 43.6 | 10.84 | 15 | 95 |
| LDL (mg/dl) | 101.28 | 26.39 | 35 | 200 |
| TG (mg/dl) | 159.89 | 54.01 | 40 | 523 |
| Cholesterol (mg/dl) | 185.99 | 37.90 | 80 | 323 |
| FBS (mg/dl) | 94.62 | 13.38 | 63 | 190 |
| Systolic blood pressure (mmHg) | 108.14 | 10.23 | 85 | 147.67 |
| Diastolic blood pressure (mmHg) | 68.26 | 7.86 | 48.33 | 93.33 |
| BMI (kg/m2) | 28.58 | 5.09 | 17.15 | 46.80 |
The relationship between clinical and laboratory cardiovascular risk factors and BMI.
| Variable | BMI | Mean | SD |
|
|---|---|---|---|---|
| HDL | Normal | 46.88 | 11.17 | <0.001 |
| Overweight | 43.83 | 10.59 | ||
| Obese | 41.28 | 10.44 | ||
| LDL | Normal | 91.46 | 23.72 | <0.001 |
| Overweight | 100.27 | 25.24 | ||
| Obese | 108.66 | 27.23 | ||
| TG | Normal | 137.94 | 67/44 | <0.001 |
| Overweight | 155.38 | 36/47 | ||
| Obese | 179.23 | 29/60 | ||
| Cholesterol | Normal | 175.68 | 32.47 | <0.001 |
| Overweight | 182.94 | 36.194 | ||
| Obese | 196.20 | 40.727 | ||
| FBS | Normal | 90.91 | 19.692 | <0.001 |
| Overweight | 93.30 | 13.410 | ||
| Obese | 98.58 | 13.909 | ||
| Systolic pressure | Normal | 101.93 | 8.432 | <0.001 |
| Overweight | 106.79 | 8.378 | ||
| Obese | 113.71 | 10.501 | ||
| Diastolic pressure | Normal | 63.56 | 7.079 | <0.001 |
| Overweight | 67.57 | 7.064 | ||
| Obese | 72.08 | 7.409 |
The multiple linear regression model predicting SBP changes based on variables.
| Model |
| Beta |
|
|
|---|---|---|---|---|
| Constant | 55.58 | 20.44 | ≤0.001 | |
| Age | 0.349 | 0.289 | 10.621 | ≤0.001 |
| Waist | 0.178 | 0.182 | 5.163 | ≤0.001 |
| Fruit | −1/521 | −0.134 | −5/111 | ≤0.001 |
| Meat | 0.006 | 0.104 | 4.001 | ≤0.001 |
| LDL | 0.052 | 0.134 | 4.741 | ≤0.001 |
| Cholesterol | 0.016 | 0.061 | 2.203 | ≤0.001 |
| FBS | 0.070 | 0.092 | 3.455 | ≤0.001 |
| BMI | 0.255 | 0.127 | 3.675 | ≤0.001 |
| Cigarettes | 0.693 | 0.117 | 4.781 | ≤0.001 |
|
| Adj. | |||
The multiple linear regression model predicting DBP changes based on variables.
| Model |
| Beta |
|
|
|---|---|---|---|---|
| Constant | 29.202 | 13.563 | ≤0.001 | |
| Age | 0.227 | 0.244 | 8.84 | ≤0.001 |
| Waist size | 0.820 | 0.108 | 2.825 | ≤0.005 |
| Fruit | −1.000 | −0.115 | −4.271 | ≤0.001 |
| Meat | 0.007 | 0.163 | 6.108 | ≤0.001 |
| LDL | 0.056 | 0.190 | 6.590 | ≤0.001 |
| Cholesterol | 0.013 | 0.61 | 2.149 | ≤0.032 |
| FBS | 0.058 | 0.099 | 3.623 | ≤0.001 |
| Weight | 0.115 | 0.166 | 4.506 | ≤0.001 |
| Exercise | −0.018 | −0.082 | −3.202 | ≤0.001 |
|
| Adj. | |||