| Literature DB >> 26543386 |
Rebecca K Kelly1, Costan G Magnussen2, Matthew A Sabin3, Michael Cheung3, Markus Juonala4.
Abstract
The upward trend in adolescent hypertension is widely attributed to the adolescent obesity epidemic. Secular trends in adolescent prehypertension and hypertension have risen in congruence with increasing trends in the prevalence of overweight and obesity. The correlation between body mass index and blood pressure in adolescence is moderate to strong in most studies and strongest in those classified as overweight or obese. The mechanisms relating to the development of hypertension in overweight adolescents are unclear; however, a number of nonmodifiable and modifiable factors have been implicated. Importantly, certain clinical and biochemical markers in overweight adolescents are indicative of high risk for hypertension, including family history of hypertension and hyperinsulinemia. These characteristics may prove useful in stratifying overweight adolescents as high or low risk of comorbid hypertension. The treatment of overweight and obesity related hypertension in this population focuses on two key modalities: lifestyle change and pharmacotherapy. These approaches focus almost exclusively on weight reduction; however, a number of emerging strategies target hypertension more specifically. Among adolescents with overt hypertension there are also several factors that indicate higher risk of concurrent subclinical disease, persistent adult hypertension, and adult cardiovascular disease. This group may benefit substantially from more aggressive pharmacological treatments. Limitations in the literature relate to the paucity of studies reporting specific effects for the adolescent age group of overweight and obese individuals. Nonetheless, intervention for adiposity-related hypertension in adolescence may partially mitigate some of the cardiovascular risk in adulthood.Entities:
Keywords: blood pressure; childhood; obesity; prevention; risk factors
Year: 2015 PMID: 26543386 PMCID: PMC4622556 DOI: 10.2147/AHMT.S55837
Source DB: PubMed Journal: Adolesc Health Med Ther ISSN: 1179-318X
Summary of studies investigating the association between blood pressure and body mass index in adolescents
| Publication | Location | N | Age range (years) | Sex (% male) | Obese (%) | Overweight (%) | SBP CC | DBP CC |
|---|---|---|---|---|---|---|---|---|
| Song et al | Korea | 1,757 | 10–19 | 100.0% | NA | 15.7% | 0.31 | 0.11 |
| 1,606 | 0.0% | NA | 20.8% | 0.20 | 0.05 | |||
| Abdul Razzak et al | Kuwait | 209 | 11–19 | 61.2% | 100.0% | NA | 0.18 | 0.16 |
| Duncan et al | Portugal | 445 | 10–17 | 43.4% | 3.7% | 22.1% | 0.32 | 0.23 |
| Kim et al | Korea | 336 | 12–16 | 100.0% | NA | NA | 0.47 | 0.29 |
| 229 | 0.0% | NA | NA | 0.48 | 0.36 | |||
| Mehdad et al | Morocco | 44 | 11–17 | 100.0% | 13.6% | 47.7% | 0.42 | 0.28 |
| 123 | 0.0% | 12.2% | 22.8% | 0.45 | 0.34 | |||
| Pecin et al | Croatia | 756 | 15–18 | 49.6% | 3.5% | NA | 0.18 | 0.20 |
| Rutkowski et al | Poland | 889 | 14–15 | 51.9% | 8.0% | 8.0% | 0.36 | 0.22 |
| Ying-Xiu et al | China | 464 | 12 | 100.0% | 14.4% | 15.9% | 0.38 | 0.28 |
| 456 | 0.0% | 8.1% | 7.9% | 0.36 | 0.23 | |||
| Pereira et al | Brazil | 113 | 14–19 | 0.0% | NA | 31.0% | 0.34 | 0.27 |
| Duncan et al | UK | 661 | 11–14 | 58.1% | 7.4% | 21.8% | 0.37 | 0.21 |
| Larsson et al | Sweden | 144 | 10 | 44.0% | 2.0% | 18.0% | 0.24 | 0.17 |
| Salvi et al | Algeria | 388 | 15–19 | 100.0% | 1.0% | 4.6% | 0.33 | 0.21 |
| 734 | 0.0% | 1.7% | 8.4% | 0.23 | 0.14 | |||
| Italy | 407 | 100.0% | 3.4% | 13.7% | 0.42 | 0.23 | ||
| 528 | 0.0% | 0.8% | 9.3% | 0.29 | 0.12 | |||
| Guimarães et al | Brazil | 536 | 11–18 | 41.0% | 23.5% | 36.9% | 0.44 | NA |
| Caprio et al | USA | 24 | 10–16 | 0.0% | 58.3% | NA | 0.33 | –0.19 |
Note:
P<0.05.
Abbreviations: CC, correlation coefficient; DBP, diastolic blood pressure; NA, not available; SBP, systolic blood pressure.
Figure 1Scatterplot demonstrating the relationship between proportion of obese participants and proportion of overweight participants and the magnitude of SBP and DBP correlation coefficients.
Notes: LOESS creates smoothed curves for both SBP and DBP. There were 16 SBP data points and 15 DBP data points. Some data points are stratified according to sex or region.
Abbreviations: DBP, diastolic blood pressure; LOESS, locally-weighted scatterplot smoothing; SBP, systolic blood pressure.
Figure 2Factors associated with the development of hypertension in overweight adolescents.
Note: *Denotes studies that present effective estimates in adolescents only.
Abbreviations: ACE I/D, angiotensin converting enzyme insertion/deletion; CRP, C-reactive protein; eNOS, endothelial nitric oxide synthase; HDL, high-density lipoprotein; HOMA-IR, homeostasis model assessment-estimated insulin resistance; IGF2, insulin-like growth factor; LDL, low-density lipoprotein; NT-proBNP, n-terminal pro-brain natriuretic peptide; Y2R, Y2 receptor.
Factors associated with the development of hypertension in overweight adolescents
| Factors | Publication | Year | Effect in overweight adolescents |
|---|---|---|---|
| Age | La Manna et al | 1982 | Age >13 years associated with hypertension. |
| Siklar et al | 2011 | Older age associated with hypertension. | |
| Sex | Koenigsberg et al | 2006 | Hypertension more likely in males >11 years. |
| La Manna et al | 1982 | Hypertension more likely in females. | |
| Hannon et al | 2015 | Not significant. | |
| Ethnicity | Harding et al | 2008 | Indian participants had higher risk of hypertension. |
| Martin et al | 2015 | Turkish participants had a higher risk of hypertension whereas Central European participants had a lower risk. | |
| Puri et al | 2008 | African American and Caribbean Hispanic had a higher risk compared to white participants. | |
| Hannon et al | 2015 | African American and Hispanic participants had a higher risk of hypertension compared to white participants. | |
| Genetics | Siklar et al | 2011 | |
| Santoro et al | 2008 | The presence of certain | |
| Souza-Costa et al | 2011 | The | |
| Faienza et al | 2010 | ||
| Lemes et al | 2013 | ||
| Guerra et al | 2003 | ApoE polymorphism not significant. | |
| Family history of hypertension | Nishina et al | 2003 | Family history of hypertension not significant. |
| La Manna et al | 1982 | Family history of hypertension associated with hypertension. | |
| Siklar et al | 2011 | Family history of hypertension associated with hypertension. | |
| Family history of diabetes | La Manna et al | 1982 | Family history of diabetes associated with hypertension. |
| Low birth weight | Lurbe et al | 2009 | Lower birth weight associated with higher systolic BP values. |
| Strufaldi et al | 2009 | Risk of hypertension significantly higher in those with both low birth weight and current obesity. | |
| Pubertal status | Siklar et al | 2011 | Participants who were pubertal or postpubertal were more likely to have hypertension. |
| Physical activity | Hayes et al | 2013 | Physical activity did not attenuate blood pressure risk. |
| Cardiorespiratory fitness | Nielsen et al | 2003 | BMI was a stronger predictor of hypertension in female individuals with low fitness levels. Higher fitness levels were associated with lower risk. |
| Eisenmann et al | 2007 | Those with both elevated BMI and low fitness had the highest levels of metabolic syndrome. | |
| Shaibi et al | 2005 | VO2 max is not associated with any individual risk factors in overweight youth. | |
| Marcelino et al | 2012 | High cardiorespiratory fitness is protective for hypertension in those with high body fat but not high BMI. | |
| Sedentary behaviors | Pardee et al | 2007 | Hypertension in obese children is associated with time spent watching television. |
| Goldfield et al | 2011 | In obese adolescents, time spent playing video games was independently associated with hypertension. | |
| Sleep | Hannon et al | 2015 | Lack of REM sleep is associated with hypertension. |
Note:
Denotes studies that present effective estimates in adolescents only.
Abbreviations: ACE I/D, angiotensin converting enzyme insertion/deletion; BP, blood pressure; BMI, body mass index; eNOS, endothelial nitric oxide synthase; IGF2, insulin-like growth factor; REM, rapid eye movement; VO2 max, maximal oxygen uptake; Y2R, Y2 receptor; ApoE, apolipoprotein E.
Subclinical markers associated with hypertension in overweight adolescents
| Biochemical marker | Publications |
|---|---|
| Hypercholesterolemia | Glowinska et al |
| High LDL | Glowinska et al |
| Hypertriglyceridemia | Siklar et al |
| High triglyceride/HDL cholesterol ratio | Siklar et al |
| Low HDL | Siklar et al |
| Hyperinsulinemia | Nishina et al; |
| Low adiponectin | De Las Heras et al; |
| High leptin | Tu et al; |
| High NT-proBNP (males only) | Pervanidou et al |
| High osteopontin | Lezhenko et al |
| High aldosterone | Rocchini et al; |
| Low plasma renin | Shatat et al |
| High CRP | Noronha et al |
| Microalbuminuria | Nguyen et al |
| High IR-HOMA | Siklar et al |
Note:
Denotes studies that present effective estimates in adolescents only.
Abbreviations: CRP, C-reactive protein; HDL, high-density lipoprotein; LDL, low-density lipoprotein; NT-proBNP, n-terminal pro-brain natriuretic peptide; IR-HOMA, insulin resistance homeostasis model assessment.