| Literature DB >> 32318447 |
Rajesh Hosadurga1, Htoo Htoo Kyaw Soe2, Amelia Tan Peck Lim3, Abdul Adl3, Melwin Mathew1.
Abstract
CONTEXT: Cardiovascular diseases (CVD) are one of the leading causes of premature deaths among noncommunicable disease. Hypertension increases the risk of cardiovascular events. In addition to well-known risk factors for hypertension like obesity, lack of physical activity, studies have shown independent association between tooth loss and increased blood pressure and stroke. However, the relevant literature is not conclusive. AIMS: Aim of our study was to investigate the association between tooth loss and increased blood pressure among adult patients. METHODS AND MATERIAL: A cross-sectional study among 270 adults aged 20-59 years was conducted. The dependent variables were systolic blood pressure (SBP) and diastolic blood pressure (DBP). The main exploratory variable was the number of self-reported natural teeth for each dental arch. They were recorded as 10 or more natural teeth, less than 10 natural teeth, and no natural teeth. Data were analyzed using descriptive statistics, independent t-test, ANOVA, and multiple linear regression analysis.Entities:
Keywords: Association; blood pressure; cross-sectional; tooth loss
Year: 2020 PMID: 32318447 PMCID: PMC7114063 DOI: 10.4103/jfmpc.jfmpc_811_19
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Characteristics of the studied adult population (n=269)
| Variable | |
|---|---|
| Gender | |
| Male | 119 (44.2) |
| Female | 150 (55.8) |
| Age (years) | |
| 20-29 | 63 (23.4) |
| 30-39 | 36 (13.4) |
| 40-49 | 55 (20.4) |
| 50-59 | 115 (42.8) |
| Ethnicity | |
| Malay | 94 (34.9) |
| Chinese | 134 (49.8) |
| Indian | 41 (15.2) |
| Educational Level | |
| Primary School | 29 (10.8) |
| Secondary School | 132 (49.1) |
| PreUniversity | 21 (7.8) |
| Undergraduate | 75 (27.9) |
| Postgraduate | 12 (4.5) |
| Per Capita Family Income | |
| Higher tertile (>RM 5000) | 91 (33.8) |
| Intermediary tertile (RM2000-RM5000) | 102 (37.9) |
| Lower tertile (<RM2000) | 76 (38.3) |
| Smoking status | |
| Never | 227 (84.4) |
| Former | 12 (4.5) |
| Current | 30 (11.2) |
| Alcohol Consumption | |
| No | 223 (82.9) |
| Yes | 46 (17.1) |
| Physical activity (IPAQ score) | |
| HEPA | 116 (43.1) |
| Inactive | 69 (25.7) |
| Minimally active | 84 (43.1) |
| Body Mass Index (kg/m2) | |
| Underweight (<18.5 kg/m2) | 16 (5.9) |
| Normal (18.5-24.9 kg/m2) | 153 (56.9) |
| Overweight (>25.0 kg/m2) | 72 (26.8) |
| Obese (>30.0 kg/m2) | 28 (10.4) |
| Diabetes | |
| No | 240 (89.2) |
| Yes | 29 (10.8) |
| Use of dental prosthesis | |
| No | 173 (64.3) |
| Yes | 96 (35.7) |
| Tooth loss | |
| Edentulous | 18 (6.7) |
| <10 teeth loss at least in one arch | 206 (76.6) |
| ≥10 teeth loss in both arches | 45 (16.7) |
| Hypertension | |
| Yes | 58 (21.6) |
| No | 211 (78.4) |
| Systolic Blood Pressurea | 125.37 (20.50) |
| Diastolic Blood Pressurea | 78.87 (11.95) |
aMean (SD)
Bivariate analysis of the association between tooth loss, other variables and systolic blood pressure (SBP) and diastolic blood pressure (DBP)
| Variable | Systolic Blood Pressure (mmHg) | Diastolic Blood Pressure (mmHg) | ||
|---|---|---|---|---|
| Mean (SD) | Mean (SD) | |||
| Tooth lossb | ||||
| Edentulous | 136.00 (24.82) | 0.001 | 80.67 (13.12) | 0.076 |
| <10 teeth loss in at least one arch | 122.76 (18.70) | 77.96 (11.82) | ||
| ≥10 teeth loss in both arches | 133.07 (20.50) | 135.60 (11.95) | ||
| Genderc | ||||
| Male | 130.90 (17.47) | <0.001 | 82.46 (10.80) | <0.001 |
| Female | 120.98 (21.69) | 76.02 (12.08) | ||
| Age (years)b | ||||
| 20-29 | 111.60 (14.49) | <0.001 | 71.16 (10.85) | <0.001 |
| 30-39 | 117.50 (15.73) | 76.83 (12.89) | ||
| 40-49 | 131.05 (18.25) | 81.89 (10.36) | ||
| 50-59 | 132.65 (21.14) | 82.29 (10.93) | ||
| Ethnicityb | ||||
| Malay | 127.15 (21.12) | 0.508 | 80.35 (12.57) | 0.318 |
| Chinese | 124.86 (19.25) | 78.22 (11.52) | ||
| Indian | 122.37 (20.50) | 77.61 (11.83) | ||
| Educational Levelb | ||||
| Primary School | 127.45 (23.7) | 0.001 | 79.93 (10.78) | 0.003 |
| Secondary School | 129.77 (19.18) | 81.21 (11.29) | ||
| PreUniversity | 126.33 (17.65) | 78.76 (12.14) | ||
| Undergraduate | 117.43 (19.30) | 74.45 (12.30) | ||
| Postgraduate | 119.83 (25.32) | 78.33 (13.32) | ||
| Per Capita Family Incomeb | ||||
| Higher tertile | 121.95 (17.82) | 0.003 | 76.82 (11.86) | 0.017 |
| Intermediary tertile | 123.82 (20.13) | 78.36 (11.87) | ||
| Lower tertile | 131.96 (22.60) | 82.00 (11.69) | ||
| Smoking statusb | ||||
| Never | 124.51 (21.06) | 0.199 | 78.28 (12.23) | 0.130 |
| Former | 134.17 (23.66) | 83.75 (11.15) | ||
| Current | 128.33 (13.05) | 81.53 (9.32) | ||
| Alcohol Consumptionc | ||||
| No | 125.83 (21.09) | 0.417 | 79.18 (11.84) | 0.344 |
| Yes | 123.13 (17.39) | 77.35 (12.50) | ||
| Physical activity (IPAQ score)b | ||||
| HEPA | 125.34 (17.21) | 0.748 | 79.11 (11.65) | 0.465 |
| Inactive | 126.78 (21.87) | 79.97 (12.52) | ||
| Minimally active | 124.24 (23.49) | 77.63 (11.92) | ||
| Body Mass Indexb | ||||
| Underweight | 114.13 (19.22) | 0.001 | 67.00 (9.96) | <0.001 |
| Normal | 122.94 (21.89) | 77.93 (12.32) | ||
| Overweight | 128.93 (17.98) | 81.11 (9.51) | ||
| Obese | 135.89 (12.70) | 85.00 (11.35) | ||
| Diabetesc | ||||
| No | 124.60 (20.89) | 0.075 | 78.58 (12.30) | 0.131 |
| Yes | 131.76 (15.85) | 81.24 (8.27) | ||
| Use of dental prosthesisc | ||||
| No | 123.73 (20.82) | 0.079 | 77.89 (12.01) | 0.071 |
| Yes | 128.31 (19.68) | 80.64 (11.70) | ||
bANOVA; cIndependent t-test; P value<0.05 is significant
Multiple linear regression analysis of the association between tooth loss, other variables, and systolic and diastolic pressure
| Variable | Systolic Blood Pressure (mmHg) | Diastolic Blood Pressure (mmHg) | ||
|---|---|---|---|---|
| Adjusted b (95% CI) | Adjusted b (95% CI) | |||
| Tooth loss | ||||
| Edentulous | Reference | Reference | ||
| Partial tooth loss | - 5.34 (-14.48, 3.79) | 0.250 | 1.70 (-3.65, 7.04) | 0.533 |
| Gender | ||||
| Female | Reference | 0.004 | Reference | |
| Male | 7.66 (2.45, 12.87) | 5.47 (2.42, 8.52) | <0.001 | |
| Age (years) | ||||
| 20-29 | Reference | Reference | ||
| 30-39 | 3.58 (-5.30, 12.46) | 0.428 | 3.97 (-1.23, 9.16) | 0.134 |
| 40-49 | 16.69 (7.65, 25.73) | <0.001 | 9.08 (3.78, 14.37) | 0.001 |
| 50-59 | 20.86 (12.70, 29.02) | <0.001 | 10.64 (5.86, 15.42) | <0.001 |
| Ethnicity | ||||
| Malay | Reference | Reference | 0.050 | |
| Chinese | - 4.35 (-9.73, 1.03) | 0.113 | - 3.15 (-6.30, -0.01) | 0.090 |
| Indian | - 6.54 (-13.60, 0.53) | 0.070 | - 3.58 (-7.71, 0.56) | |
| Educational Level | ||||
| Primary School | Reference | Reference | ||
| Secondary School | 3.13 (-4.56, 10.81) | 0.424 | 1.16 (-3.34, 5.66) | 0.611 |
| PreUniversity | - 2.08 (-12.69, 8.53) | 0.700 | - 2.56 (-8.78, 3.65) | 0.417 |
| Undergraduate | 2.72 (-6.59, 12.02) | 0.566 | 0.94 (-4.51, 6.39) | 0.735 |
| Postgraduate | - 1.57 (-14.42, 11.27) | 0.810 | 0.90 (-6.62, 8.42) | 0.814 |
| Smoking status | ||||
| Never | Reference | Reference | ||
| Former | 2.10 (-9.21, 13.41) | 0.714 | - 0.450 (-7.07, 6.17) | 0.894 |
| Current | - 5.77 (-13.59, 2.05) | 0.147 | - 2.75 (-7.33, 1.83) | 0.238 |
| Alcohol Consumption | ||||
| No | Reference | 0.986 | Reference | 0.880 |
| Yes | 0.06 (-6.25, 6.36) | - 0.28 (-3.98, 3.41) | ||
| Physical activity (IPAQ score) | ||||
| HEPA | Reference | Reference | ||
| Inactive | 0.57 (-5.01, 6.15) | 0.840 | 0.29 (-2.98, 3.56) | 0.862 |
| Minimally active | 1.46 (-3.76, 6.67) | 0.582 | 0.25 (-2.80, 3.31) | 0.870 |
| Body Mass Index | ||||
| Normal | Reference | Reference | ||
| Underweight | - 4.49 (-14.02, 5.04) | 0.355 | - 9.25 (-14.83, -3.66) | 0.001 |
| Overweight | 2.89 (-2.57, 6.36) | 0.298 | 1.32 (-1.88, 4.52) | 0.416 |
| Obese | 9.88 (1.80, 17.96) | 0.017 | 4.98 (0.25, 9.72) | 0.039 |
| Diabetes | ||||
| No | Reference | Reference | ||
| Yes | - 5.15 (-13.02, 2.72) | 0.199 | - 4.49 (-9.10, 0.12) | 0.056 |
| Use of dental prosthesis | ||||
| No | Reference | Reference | ||
| Yes | - 0.94 (-6.02, 4.14) | 0.717 | 0.54 (-2.43, 3.52) | 0.719 |
b: regression coefficient; 95% CI: 95% confidence interval; P value<0.05 is significant