| Literature DB >> 35195013 |
Manoj Kumar Choudhary1, Roosa-Maria Penninkangas1, Arttu Eräranta1, Onni Niemelä1,2, Charles Mangani3, Kenneth Maleta3, Per Ashorn1,4, Ulla Ashorn1, Ilkka Pörsti1,5.
Abstract
Background Cardiovascular risk is higher in men than in women, but little information exists about sex-related differences in cardiovascular function from low-income countries. We compared hemodynamics between sexes in rural Malawi in a cohort followed up since their birth. Methods and Results Supine, seated, and standing hemodynamics were recorded from 251 women and 168 men (mean age, 21 years; body mass index, 21 kg/m2) using oscillometric brachial waveform analyses (Mobil-O-Graph). The results were adjusted for estimated glomerular filtration rate, and plasma potassium, lipids, and glucose. Men had higher brachial and aortic systolic blood pressure and stroke index regardless of posture (P<0.001), and higher upright but similar supine diastolic blood pressure than women. Regardless of posture, heart rate was lower in men (P<0.001), whereas cardiac index did not differ between sexes. Women presented with lower supine and standing systemic vascular resistance index (P<0.001), whereas supine-to-standing increase in vascular resistance (P=0.012) and decrease in cardiac index (P=0.010) were higher in women. Supine left cardiac work index was similar in both sexes, whereas standing and seated left cardiac work index was higher in men than in women (P<0.001). Conclusions In young Malawian adults, men had higher systolic blood pressure, systemic vascular resistance, and upright cardiac workload, whereas women presented with higher posture-related changes in systemic vascular resistance and cardiac output. These findings show systematic sex-related differences in cardiovascular function in a cohort from a low-income country with high exposure to prenatal and postnatal malnutrition and infectious diseases.Entities:
Keywords: blood pressure; cardiovascular disease; hemodynamics; left cardiac work; pulse wave velocity; sex
Mesh:
Year: 2022 PMID: 35195013 PMCID: PMC9075090 DOI: 10.1161/JAHA.121.022979
Source DB: PubMed Journal: J Am Heart Assoc ISSN: 2047-9980 Impact factor: 6.106
Clinical and Laboratory Characteristics of the Study Population
| Characteristic | Women (n=251) | Men (n=168) |
|---|---|---|
| Age, y | 21.3 (0.4) | 21.3 (0.4) |
| Height, cm | 156.0 (5.7) | 165.7 (6.2) |
| Weight, kg | 52.0 (7.3) | 58.0 (6.5) |
| Body mass index, kg/m2 | 21.4 (2.4) | 21.1 (1.9) |
| Mean height/length‐age Z‐score | ||
| During the first 6 mo of life | −1.88 (1.09) | −1.96 (1.24) |
| At the age of 21 y | −1.29 (0.94) | −1.71 (0.90) |
| Time at school, y | 3.6 (2.9) | 4.6 (3.6) |
| Ability to read and write, n/% | ||
| No, n/% | 146/58 | 76/45 |
| With difficulties, n/% | 42/17 | 28/17 |
| Fluent, n/% | 63/25 | 64/38 |
| Food insecurity sum score | 9 (5) | 9 (5) |
| Standardized living environment sum score | 0.06 (3.16) | −0.17 (3.05) |
|
| 43/17.1 | 30/17.9 |
| eGFR, mL/min per 1.73 m2 | 130 (12) | 128 (10) |
| Hemoglobin, g/L | 134 (15) | 156 (15) |
| Sodium, mmol/L | 138 (3) | 139 (2) |
| Potassium, mmol/L | 4.0 (0.4) | 4.1 (0.4) |
| CRP, mg/L | 0.9 (0.5–2.2) | 0.9 (0.4–1.7) |
| Creatinine, μmol/L | 51.8 (8.8) | 69.9 (10.5) |
| Total cholesterol, mmol/L | 3.3 (0.7) | 3.0 (0.6) |
| Triglycerides, mmol/L | 0.7 (0.5–1.0) | 0.8 (0.6–1.1) |
| HDL cholesterol, mmol/L | 1.1 (0.3) | 0.9 (0.2) |
| LDL cholesterol, mmol/L | 1.8 (0.6) | 1.7 (0.5) |
| Glucose, mmol/L | 4.8 (0.7) | 5.1 (0.7) |
Results shown as mean (SD), median (25th–75th percentile), or number/percentage of participants in each category. CRP indicates C‐reactive protein; eGFR, estimated glomerular filtration rate (Chronic Kidney Disease Epidemiology Collaboration creatinine‐based formula); HDL, high‐density lipoprotein; and LDL, low‐density lipoprotein.
P<0.05 vs women.
Figure 1Line graphs show brachial systolic (A) and diastolic (B) and aortic systolic (C) and diastolic (D) blood pressure values in 251 women and 168 men during supine, seated, and standing positions.
B and D, Insets show the supine‐to‐upright increase in diastolic blood pressure; mean±SEM, statistics by generalized estimating equations (line graphs) with adjustments for estimated glomerular filtration rate, and plasma concentrations of potassium, triglycerides, high‐density lipoprotein cholesterol, low‐density lipoprotein cholesterol, and glucose, and by t‐test in the insets for changes in the variables.
Figure 2Heart rate (A), stroke index (B), cardiac index (C), and left cardiac work index (D) in male and female participants.
C, Inset shows the supine‐to‐upright decrease in cardiac index; statistics as in Figure 1.
Figure 3Systemic vascular resistance index (A) and waveform‐derived evaluation of pulse wave velocity (B) in male and female participants.
A, Inset shows the supine‐to‐upright increase in systemic vascular resistance index; statistics otherwise as in Figure 1 but pulse wave velocity was additionally adjusted for mean aortic pressure.