Literature DB >> 33664586

Risk Factors and Comorbidities in Young Indian Patients with Hypertension: REAL YOUNG (Hypertension) Study.

Nagaraj Desai1, Govindan Unni2, Rajeev Agarwala3, Santosh Salagre4, Sanjay Godbole5, Ashish Dengra6, Mahesh V Abhyankar7, Santosh Revankar7.   

Abstract

PURPOSE: To analyze the risk factors and comorbidities among the young Indian adults with hypertension. PATIENTS AND METHODS: This was a retrospective, multicentric real-world study which included patients diagnosed with and receiving treatment for hypertension. Data were collected from the medical records of clinics/hospitals across 623 study sites in India. Patients of either sex and aged 18-45 years were included. Demographic details (age, sex, anthropometric measurement), medical and family history, sedentary lifestyle, smoking status and alcohol consumption data were extracted. Descriptive and comparative analysis (Mann-Whitney U and chi-squared test) was done.
RESULTS: Out of 15,006 young patients diagnosed with hypertension (men=63.6%), 65.7% belonged to the age group of >35-45 years. The median body mass index was 27.0 kg/m2. Patients diagnosed with only hypertension were 29.1% while other predominant comorbidities with hypertension were diabetes mellitus (42.4%) and dyslipidemia (7.8%). Hypertension with diabetes mellitus were prevalent in the age group of >35-45 years (43.8%). More than half of the patients with hypertension (n=7656) had a sedentary lifestyle. Overall, 35.6%, 47.3%, and 56.7% of the patients were alcoholic, smokers (present and former), and had a family history of hypertension, respectively.
CONCLUSION: The results showed that among the young population, hypertension was common in the age group of >35-45 years and diabetes mellitus and dyslipidemia were common comorbidities. Family history, sedentary lifestyle, smoking, alcohol consumption, and body mass index may also contribute to hypertension.
© 2021 Desai et al.

Entities:  

Keywords:  diabetes mellitus; dyslipidemia; prevalence; young population

Year:  2021        PMID: 33664586      PMCID: PMC7924245          DOI: 10.2147/IBPC.S272548

Source DB:  PubMed          Journal:  Integr Blood Press Control        ISSN: 1178-7104


Introduction

Noncommunicable diseases, including hypertension, diabetes and obesity are highly prevalent in developed and developing countries including India. Worldwide, hypertension is emerging as a serious threat to the public health as it is a chief causative factor responsible for global deaths from stroke and coronary heart disease.1,2 The global action plan for the prevention and control of noncommunicable diseases by the World Health Organization (WHO) claimed to reduce the prevalence of hypertension by 25% between 2010 and 2025.3 Several factors are responsible for the growing prevalence of hypertension. These mainly include lifestyle and dietary practices, high body mass index (BMI), alcohol consumption, tobacco, smoking and emotional stress.4 The primary goal of therapy should be effective control of blood pressure in order to prevent, reverse or delay the complications.5,6 However, the prevalence of high blood pressure in the young Indian population is accelerating which creates a worrisome status quo due to higher risk of premature death. Data presented at 70th Annual Conference of the Cardiological Society of India (CSI), 2018 revealed that Indians possess more risk of developing hypertension in early years of life than western cohorts and incidence of first heart attack and strokes a decade earlier on average cannot be ignored.7,8 Ramakrishnan et al reported observations from an Indian blood pressure survey conducted across 24 states and union territories, demonstrating a severity of this crisis with prevalence of 55.3% in the adults of age group 20–44 years.9 Therefore, the evolving and rapidly growing epidemic of hypertension in young Indians should be considered equally important in increasing the burden of noncommunicable diseases and early diagnosis will aid in appropriate treatment and prevention of premature deaths. Cross-sectional studies in the Asian population have reported various risk factors for hypertension. Nam et al demonstrated that age group, higher salt intake, alcohol consumption, presence of family history, and at least one co-existing disease were the risk factors for hypertension. They also reported significant differences in hypertension rates among factors including age groups, co-existing disease and alcohol consumption.10 A study was conducted in the Indonesian population demonstrating large socioeconomic inequalities in the utilization of hypertension and type 2 diabetes management services. They reported that education level and geographic location were the most important contributors of socioeconomic inequalities and these inequalities in medication use for hypertension and diabetes were predominant in men.11 Large clinical data gathered by national health system registries, health insurance companies, and randomized clinical trials, are an important basis for etiologic investigations and should adopt treatment and prevention strategies that will benefit the youth population in management of hypertension.12,13 In spite of few prior Indian studies revealing high prevalence of hypertension in the young adult population, the heterogeneity in study designs and ethnicities of the Indian population makes it difficult to generalize the management strategies. In addition, lack of awareness of hypertension in young individuals is also a major hurdle in prevention of premature deaths due to hypertension-associated comorbidities.8,14,15 Thus an effort was made in this multicentric, nonrandomized, noncomparative, real-world retrospective study that was conducted nationwide, inclusive of all four zones (north, south, east, west) to analyze the risk factors and associated comorbidities in young Indian patients (18–45 years) receiving medical attention for hypertension.

Patients and Methods

This was a retrospective, multicentric real-world study conducted in young individuals diagnosed with hypertension. The study was approved by the Independent Review Board (CLINICOM Independent Ethics Committee for Evaluation of Protocols for Clinical Research, Bangalore, India: 01441/31.07.2018; 01455/21.08.2018; 01463/30.08.2018; 01471/11.10.2018; 01483/22.11.2018; 01505/11.01.2019; 01516/05.03.2019; 01540/07.05.2019) and the study procedure was in accordance with the principles of the Declaration of Helsinki, International Conference on Harmonization—Good Clinical Practice (ICH-GCP). Considering the retrospective nature of the study consent from participants was waived. Data were collected from medical records of clinics/hospitals across 623 study sites in India. No identifiable details were captured and the patient’s record numbers were replaced with codes ensuring patient confidentiality. Patients of either sex, aged 18 to 45 years were eligible for inclusion if diagnosed and receiving treatment for hypertension. Patients aged above 45 years were excluded. For patients with hypertension, the baseline characteristics of diagnosis of hypertension including age, sex, smoking habit, alcohol consumption, sedentary lifestyle, anthropometric measurements (height, weight, waist circumference), SBP and DBP were collected. Comorbidities (diabetes mellitus and dyslipidemia) and family history were also noted.

Definitions

According to the 2019 Indian Guideline on Hypertension-IV (IGH-IV) and 2018 European Society of Cardiology (ESC) and European Society of Hypertension (ESH) (ESC/ESH) guidelines, hypertension in adults aged 18 years and older is defined as SBP ≥140 mmHg and/or DBP ≥90 mmHg.5,6 However, in the 2017 American College of Cardiology (ACC) and American Heart Association (AHA) (ACC/AHA) guidelines, hypertension is defined as ≥130/≥80 mmHg.16

Statistical Analysis

The data were presented as number and percentages for categorical data, or median and IQR for non-normally distributed continuous data. Normal distribution of quantitative data was assessed by Shapiro–Wilk test. A comparison of continuous and categorical variables between the groups was done using the Mann–Whitney U-test and chi-squared test, respectively. Odd ratios (OR) and 95%CI were calculated using multivariable logistic regression analyses. A value of p<0.05 was considered statistically significant. The data were analyzed using Statistical Package for The Social Sciences (SPSS) software, version 23.0.

Results

A total of 29,494 eligible patient case files were studied. Of them, a total of 15,006 young patients were diagnosed with hypertension and 63.6% were men. The remaining patients (n=14,488) did not satisfy the inclusion criteria and were excluded. Table 1 depicts the patient demographic characteristics. The majority of patients belonged to the age group of >35–45 years (65.7%), followed by the age group of >25–35 years (31.4%) and ≥18–25 years (2.9%). Most of the patients reported hypertension with diabetes mellitus (42.4%), followed by hypertension (29.1%), hypertension with both dyslipidemia and diabetes mellitus (20.7%) and least one was hypertension with dyslipidemia (7.8%). The majority of the patients (52.7%) were nonsmokers whereas other patients were regular (23.3%), occasional (18.5%) and former (5.3%) smokers. A total of 35.6% patients were regular alcohol consumers and more than 50% of the patients with hypertension were living a sedentary lifestyle (53.4%). The majority of the patients reported a family history of hypertension (56.7%) and hypertension with diabetes mellitus (39.2%) (Table 1). A negative correlation was observed between disease duration and blood pressure (Figure 1).
Table 1

Patient’s Demographic Characteristics

ParametersNumber of Patients (n=15,006)a
Age (years)37.0 (34.0–40.0)
Sex, % (n)
 Women36.4 (5463)
 Men63.6 (9543)
Height (cm)165.0 (158.0–170.0)
Weight (kg)74.0 (66.0–82.0)
Waist circumference (cm)89.0 (76.0–96.5)
Body mass index (kg/m2)27.0 (24.6–29.8)
Diagnosed with, % (n)
 Hypertension29.1 (4366)
 Hypertension and DM42.4 (6369)
 Hypertension and dyslipidemia7.8 (1170)
 Hypertension, dyslipidemia, and DM20.7 (3101)
Family history, % (n)
 Hypertension56.7 (8289)
 Hypertension and DM39.2 (5876)
 Hypertension and dyslipidemia20.2 (3029)
 Hypertension, DM, and dyslipidemia17.1 (2566)
Smoking habits, n=14,324 % (n)
 No52.7 (7559)
 Regular23.3 (3341)
 Occasional18.5 (2656)
 Former5.3 (768)
Alcohol consumption, n=14,524 % (n)35.6 (5177)
Sedentary lifestyle, n=14,327 % (n)53.4 (7656)

Notes: Data shown as median (IQR), unless otherwise specified. an=15,006 unless otherwise specified.

Abbreviation: DM, diabetes mellitus.

Figure 1

Scatter plot showing negative correlation between duration of disease and blood pressure.

Patient’s Demographic Characteristics Notes: Data shown as median (IQR), unless otherwise specified. an=15,006 unless otherwise specified. Abbreviation: DM, diabetes mellitus. Scatter plot showing negative correlation between duration of disease and blood pressure.

Age-wise Analysis

Figure 2A shows age-wise diagnosis. Table 2 shows age-wise distribution of parameters including sex, waist circumference, BMI, diagnosis, smoking habits, alcohol consumption, lifestyle and BP readings. The median waist circumference was significantly higher in the age group of >35–45 years compared to age group of ≥18–25 years (p=0.018). Among the smokers, the number of regular smokers were common in the age group of >35–45 years (24.1%), alcohol consumption was significantly higher in the age group of >25–35 years (35.1%), (p<0.001). More than half of the patients in all age groups were living a sedentary lifestyle.
Figure 2

Distribution of patients according to (A) age group and (B) family history of diagnosis/disease condition.

Table 2

Age-wise Distribution of Parameters

ParametersGroup A (≥18–25 Years) (n=439)*Group B (>25–35 Years) (n=4705)**Group C (>35–45 Years) (n=9862)***p-value
Age (years)24.0 (22.0–25.0)32.0 (30.0–34.0)39.0 (38.0–40.0)<0.001a,b,c
Sex, % (n)<0.001
Female37.8 (166)38.0 (1787)35.6 (3510)
Male62.2 (273)62.0 (2918)64.4 (6352)
Waist circumference (cm)88.9 (80.0–96.0) n=32788.0 (76.0–96.0) n=347190.0 (76.0–97.0) n=69400.016a, 0.018b, 1.000c
Body mass index (kg/m2)26.9 (23.4–30.3) n=40926.7 (24.4–29.6) n=453027.1 (24.8–30.0) n=95851.000a, 0.490b, 0.049c
Diagnosed with, % (n)<0.001
Hypertension37.8 (166)35.0 (1646)25.9 (2554)
Hypertension and DM36.9 (162)40.2 (1892)43.8 (4315)
Hypertension and dyslipidemia4.6 (20)7.4 (347)8.1 (803)
Hypertension, dyslipidemia, and DM20.7 (91)17.4 (820)22.2 (2190)
Smoking habits, % (n)n=417n=4496n=9411<0.001
Former13.4 (56)6.2 (279)4.6 (433)
No60.9 (254)53.9 (2426)51.8 (4879)
Occasional8.8 (37)17.5 (787)19.4 (1832)
Regular16.7 (70)22.3 (1004)24.1 (2267)
Alcohol consumption,n=420n=4566n=9538<0.001
% (n)23.8 (100)35.1 (1602)26.4 (3475)
Sedentary lifestyle, % (n)51.2 (209) n=40852.4 (2368) n=451754.0 (5079) n=94020.139
Duration of hypertension (days)540.0 (270.0–1080.0) n=363360.0 (210.0–720.0) n=4120540.0 (300.0–1080.0) n=8703<0.001a,b,c
Systolic blood pressure (mmHg)150.0 (138.0–162.0)153.0 (146.0–160.0)145.0 (135.0–160.0)0.052a, 0.008b, 0.364c
Systolic blood pressure mmHg, % (n)
<14025.5 (112)27.3 (1283)27.5 (2711)-
≥14074.5 (327)72.7 (2711)72.5 (7151)
Diastolic blood pressure (mmHg)90.0 (85.0–100.0)90.0 (86.0–100.0)90.0 (86.0–100.0)<0.001a,b, 1.000c
Diastolic blood pressure (mmHg), %(n)-
<9030.3 (133)28.7 (1348)28.5 (2808)
≥9069.7 (306)71.3 (3357)71.5 (7054)

Notes: Data shown as median (IQR), unless otherwise specified. *n=439; **n=4705; ***n=9862 unless otherwise specified. aGroup A vs B; bGroup A vs C; cGroup B vs C.

Abbreviations: DM, diabetes mellitus.

Age-wise Distribution of Parameters Notes: Data shown as median (IQR), unless otherwise specified. *n=439; **n=4705; ***n=9862 unless otherwise specified. aGroup A vs B; bGroup A vs C; cGroup B vs C. Abbreviations: DM, diabetes mellitus. Distribution of patients according to (A) age group and (B) family history of diagnosis/disease condition.

Hypertension and Associated Comorbidities

Overall, 29.1% of patients had hypertension only, while remaining had coexistence of one or multiple comorbidities—hypertension with diabetes mellitus (42.4%), hypertension with diabetes mellitus and dyslipidemia (20.7%), and hypertension with dyslipidemia (7.8%) (Table 1). Hypertension with diabetes mellitus were prevalent in the age group of >35–45 years (43.8%). The presentation of triad (hypertension, diabetes mellitus and dyslipidemia) were more common in the age group of >35–45 years (22.2%) and least common in the age group of >25–35 years (17.4%) (Table 2).

Diagnosis-wise Analysis

The majority of the patients were men in all the diagnosis groups (p<0.001). The median age of the patients at hypertension diagnosis was ranging between 36 and 38 years. The majority of the patients diagnosed with hypertension along with diabetes mellitus and dyslipidemia belonged to the age group of >35–45 years. Comparison was based on the SBP and DBP according to ACC/AHA and ESC/ESH guidelines: As per IGH-IV and ESC/ESH guidelines, majority of patients had stage 1 (40.9%) hypertension, followed by stage 2 (27.8%) hypertension, stage 3 (12.5%) hypertension and elevated BP (10.7%). Similarly, according to ACC/AHA guidelines stratification, 73.2%, 22.7%, and 2.5% patients had stage 2 hypertension, stage 1 hypertension, and elevated BP, respectively; while a small percentage of patients have shown to maintain normal BP (Table 3). According to IGH-IV and ESC/ESH guidelines, 71.5% and 67.1% of patients while according to ACC/AHA guidelines, 88.0% and 93.0% of patients had uncontrolled SBP and DBP, respectively (Table 3).
Table 3

Prevalence of Uncontrolled Blood Pressure

UncontrolledaIGH-IV 2019 and ESC/ESH 2018ACC/AHA 2017
Men (n=9148a; n=9070b)Women (n=5244a; n=5148b)Total (n=14,398a; n=14,254b)Men (n=5244a; n=5148b)Women (n=5244a; n=5148b)Total (n=14,398a; n=14,254b)
SBP72.7 (6655)69.3 (3632)71.5 (10,287)88.8 (8123)86.5 (4538)88.0 (12,661)
DBP68.0 (6167)65.6 (3399)67.1 (9566)93.7 (8495)91.9 (4764)93.0 (13,259)

Notes: Data presented as % (n). aTotal number of patients with available SBP values;bTotal number of patients with available DBP values: uncontrolled SBP defined as SBP ≥140 mmHg (IGH-IV and ESC/ESH) and SBP ≥130 mmHg (ACC/AHA); uncontrolled DBP defined as DBP ≥90 mmHg (IGH-IV and ESC/ESH) and SBP ≥80 mmHg (ACC/AHA).

Abbreviations: ACC/AHA, American College of Cardiology (ACC) and American Heart Association (AHA);ESC/ESH, European Society of Cardiology (ESC) and European Society of Hypertension (ESH); IGH-IV, Indian Guideline on Hypertension-IV.

Prevalence of Uncontrolled Blood Pressure Notes: Data presented as % (n). aTotal number of patients with available SBP values;bTotal number of patients with available DBP values: uncontrolled SBP defined as SBP ≥140 mmHg (IGH-IV and ESC/ESH) and SBP ≥130 mmHg (ACC/AHA); uncontrolled DBP defined as DBP ≥90 mmHg (IGH-IV and ESC/ESH) and SBP ≥80 mmHg (ACC/AHA). Abbreviations: ACC/AHA, American College of Cardiology (ACC) and American Heart Association (AHA);ESC/ESH, European Society of Cardiology (ESC) and European Society of Hypertension (ESH); IGH-IV, Indian Guideline on Hypertension-IV. The anthropometric parameters of patients (BMI and waist circumference) are summarized in Table 4 and distribution of family history is shown in Figure 2B. Among patients in all diagnosis groups, regular smokers had higher prevalence of smoking followed by occasional and former smokers. Alcohol consumption was highest in patients diagnosed with hypertension and dyslipidemia (42.7%). The majority of the patients in all the diagnosis groups were living a sedentary lifestyle (p<0.001). The median levels of SBP were significantly higher in patients diagnosed with hypertension and hypertension with dyslipidemia (150.0 mmHg) while DBP was high in all the diagnosis groups (90.0 mmHg) (Table 4).
Table 4

Diagnosis-Wise Distribution of Parameters

ParametersDiagnosisp value
Group A: Hypertension Only (n=4366)*Group B: Hypertension and Dyslipidemia (n=1170)**Group C: Hypertension and Diabetes Mellitus (n=6369)***Group D: Hypertension, Diabetes Mellitus, and Dyslipidemia (n=3101)****
Age (years)36.0 (32.0–39.0)38.0 (34.0–40.0)38.0 (34.0–40.0)38.0 (35.0–40.0)<0.001a, b, c, f, 0.651d, 0.055e,
Sex, % (n)<0.001
Women38.0 (1660)31.8 (372)37.0 (2357)34.6 (1074)
Men62.0 (2706)68.2 (798)63.0 (4012)65.4 (2027)
Waist circumference (cm)86.0 (72.0–95.0)90.0 (83.0–97.1)90.0 (77.0–96.5)91.0 (80.0–100.0)<0.001 a,b,c,f, 0.007d, 0.223e,
Body mass index (kg/m2)26.2 (24.0–29.0)27.5 (25.2–30.4)27.1 (24.7–29.7)27.7 (25.2–30.8)<0.001 a,b,c,f, 0.001 d, 0.043e
Smoking Habits, % (n)n=4258n=1102n=6127n=2837
Former4.5 (192)5.3 (59)5.7 (351)5.8 (166)
No52.3 (2230)48.8 (538)53.4 (3274)53.4 (1517)<0.001
Occasional19.5 (833)17.8 (196)18.4 (1128)17.5 (499)
regular23.5 (1003)28.0 (309)22.4 (1374)23.1 (655)
Alcohol consumption, % (n)33.8 (1459)42.7 (477)34.2 (2121)38.9 (1120)<0.001
Sedentary lifestyle, % (n)47.6 (2027)56.6 (627)52.4 (3196)1806 (63.1)<0.001
Systolic blood pressure (mmHg)150.0 (140.0–160.0)150.0 (140.0–160.0)142.0 (132.0–160.0)140.0 (130.0–156.0)<0.007 a, <0.001 b,c,d,e,f
Diastolic blood pressure (mmHg)90.0 (90.0–100)90.0 (90.0–100)90.0 (85.0–98.0)90.0 (80.0–98.0)<0.136 a, <0.001 b,c,d,e,f

Notes: Data shown as median (IQR), unless otherwise specified. *n=4366; **n=1170; ***n=6369; ****n=3101, unless otherwise specified. aGroup A vs B; bGroup A vs C; cGroup A vs D; dGroup B vs C; eGroup B vs D; fGroup C vs D.

Diagnosis-Wise Distribution of Parameters Notes: Data shown as median (IQR), unless otherwise specified. *n=4366; **n=1170; ***n=6369; ****n=3101, unless otherwise specified. aGroup A vs B; bGroup A vs C; cGroup A vs D; dGroup B vs C; eGroup B vs D; fGroup C vs D.

Multiple Regression Analysis

Table 5 depicts the results of multiple regression analysis of independent risk factors associated with hypertension. Age, alcohol, sedentary lifestyle, waist circumference and family history of diabetes, hypertension and dyslipidemia were significantly associated risk factors observed both in the hypertension and dyslipidemia group and hypertension and diabetes group of patients.
Table 5

Multiple Regression Analysis of Risk Factors Associated with Hypertension

ParametersHTN and DyslipidemiaHTN and DM
Odds Ratio(95%CI); p-valueOdds Ratio(95%CI); p-value
Age (years)0.025(0.007, 0.034); 0.002−0.012(−0.017, −0.004); 0.002
Sex0.002(−0.018, 0.021); 0.844−0.001(−0.011, 0.009); 0.844
Smoking0.016(−0.001, 0.013); 0.118−0.007(−0.006, 0.001); 0.118
Alcohol−0.042(−0.058, −0.021); <0.0010.020(0.010, 0.029); <0.001
Sedentary lifestyle−0.024(−0.037, −0.007); 0.0040.011(0.004, 0.019); 0.004
Height (cm)−0.011(−0.001, 0.000); 0.2660.005(0.000, 0.001); 0.266
Weight (kg)0.018(0.000, 0.001); 0.055−0.009(−0.001, 0.000); 0.055
Waist circumference (cm)0.027(0.000, 0.001); 0.001−0.013(0.000, 0.000); 0.001
Family history of DM0.133(0.096, 0.147); <0.001−0.062(−0.074, −0.048); <0.001
Family history of HTN−0.094(−0.112, −0.062); <0.0010.044(0.031, 0.056); <0.001
Family history of DYS−0.155(−0.225, −0.089); <0.0010.073(0.045, 0.113); <0.001
Family history of DM and HTN0.119(0.074, 0.145); <0.001−0.056(−0.073, −0.037); <0.001
Family history of DM and DYS−0.015(−0.102, 0.069); 0.7050.007(−0.035, 0.051); 0.705
Family history of HTN and DYS−0.077(−0.162, 0.000); 0.0500.036(0.000, 0.081); 0.050
Family history of DM, HTN, and DYS−0.004(−0.103, 0.095); 0.9300.002(−0.047, 0.052); 0.930

Abbreviations: DM, diabetes mellitus; DYS, dyslipidemia; HTN, hypertension.

Multiple Regression Analysis of Risk Factors Associated with Hypertension Abbreviations: DM, diabetes mellitus; DYS, dyslipidemia; HTN, hypertension.

Discussion

This study provides several insights about the risk factors and comorbidities in the young Indian adults (≤45 years) with hypertension. Furthermore, factors including age, sex, BMI, waist circumference, history of disease, alcohol consumption, BP data, smoking habits, and sedentary lifestyle were also taken into consideration. Of these risk factors, age, alcohol, sedentary lifestyle, waist circumference and family history of diabetes, hypertension and dyslipidemia were significantly associated in patients with hypertension and dyslipidemia and hypertension and diabetes. The incidence of hypertension, standardized by age was higher in the age group of >35–45 years. Studies have reported the prevalence of hypertension in young population indicating a significant risk of cardiovascular disease (CVD) at young age in Asian population.17,18 In the present study, comparison of SBP and DBP based on varying definitions provided in IGH-IV, ESC/ESH and ACC/AHA guidelines revealed that more than 67% of youth population failed to achieve target SBP/DBP with given treatment and may suggest the need of extensive BP monitoring and modification in the ongoing management strategies. These results corroborate the high prevalence of hypertension in young adult Indian population, suggesting hypertension screening from a young age could benefit in early diagnosis and implementation of prevention strategies for better management of the disease and associated comorbidities ultimately alleviating rates of premature deaths in Indian population. In the overall population, among patients with hypertension, diabetes mellitus was the most common comorbidity. Previous studies identified that prevalence levels of hypertension and diabetes mellitus were higher in Indian young adults.8,9 Cross-sectional study conducted in ten Indian states in a series of 15,662 patients showed a positive correlation between hypertension and diabetes mellitus, age, family history, alcohol, diet and medical history of CVD.19 Hypertension and its related comorbidities in young adults are major health problems in India. Furthermore, studies are required to characterize patients affected by hypertension along with the comorbidities such as diabetes mellitus and dyslipidemia with the purpose of development of pharmacotherapy. Family history of patients related to diabetes mellitus and dyslipidemia was the major finding. Studies from different countries have shown that the patients with family history were nearly 1.4 times more prone to risk of hypertension compared to patients without the presence of family history.20–22 Similarly, the results from the present study confirmed that a family history of hypertension has a significant association with hypertension. In the overall population, the median BMI was 27.0 kg/m2 which is overweight. In the present study, it was observed that SBP and DBP values were both linearly correlated with BMI precisely, obesity and being overweight were probable causes of hypertension in young adults. Reported literature showed that other than age and gender, BMI is a persistent cause of high prevalence of hypertension. Feng et al found that distribution of body fat is an important risk factor for obesity-based diseases such as hypertension. Some clinical practices demonstrate that waist circumference is used as a replacement marker of abdominal fat mass and is majorly associated with cardiometabolic disease risks.23 The majority of the patients in all the age groups had a sedentary lifestyle which is the most important predictor of hypertension. Other lifestyle factors that play an important role to increase the occurrence of hypertension are smoking habits and alcohol consumption which is in accordance with the present study. Former literature, among the participants with a higher level of education and economic status and even with awareness of risk factors of hypertension, prevalence of hypertension was high because of physical inactivity and nonadherence to medication.4 Recent literature proposed that knowledge of hypertension is related to BP control.24 Furthermore, it was found that the risk of poor BP control increased due to lack of awareness of knowledge of SBP. A recently published Indian study revealed that the proportion of adults with hypertension who are aware of their diagnosis and are treated and achieve control, is low, despite of higher incidence of hypertension among patients 15–49 years of age.25 Kanegae et al reported that in younger patients, the effect of DBP is very important on developing hypertension; hence, need to target DBP lowering in these patients. In the age-wise analysis of this study, the risk of developing hypertension in compliance with BP was higher in the young population. Previous literature suggests that the risk of hypertension was higher in younger individuals than older.26 Among the reported Indian studies, a nationally representative study was conducted, including a large population of 1.3 million adults that determined the region-wise prevalence of hypertension and diabetes. The key findings revealed that the prevalence of hypertension and diabetes mellitus varied depending on location, wealth, age and knowledge.8 It showed that hypertension was common in the younger age group of ≥18–≤25 years (12.1%; 95%CI: 11.8–12.5%) that is concomitant with this study. This study acknowledges several limitations. Some participants had incomplete clinical information in the available clinical health records. Specifically, this study did not record nutritional, socioeconomic and educational status of the patients that would have been beneficial in concluding the observations. Moreover, information related to geographic region, treatment approach, and ethnicity were not collected. Therefore, these observations cannot be generalized to overall Indian population.

Conclusion

Overall observations demonstrated that hypertension was common in the age group of >35–45 years and significantly associated with diabetes mellitus and dyslipidemia. The major responsible factors of hypertension were family history, sedentary lifestyle, smoking, alcohol consumption, and BMI. Early diagnosis and intervention are the key steps to limit the risk of CVD in the young population.
  21 in total

Review 1.  Strategies to meet the need for long-term data.

Authors:  John Chalmers; Mark Woodward; Claudio Borghi; Athanasios Manolis; Giuseppe Mancia
Journal:  J Hypertens       Date:  2016-08       Impact factor: 4.844

2.  Global burden of hypertension: analysis of worldwide data.

Authors:  Patricia M Kearney; Megan Whelton; Kristi Reynolds; Paul Muntner; Paul K Whelton; Jiang He
Journal:  Lancet       Date:  2005 Jan 15-21       Impact factor: 79.321

3.  Diabetes and Hypertension in India: A Nationally Representative Study of 1.3 Million Adults.

Authors:  Pascal Geldsetzer; Jennifer Manne-Goehler; Michaela Theilmann; Justine I Davies; Ashish Awasthi; Sebastian Vollmer; Lindsay M Jaacks; Till Bärnighausen; Rifat Atun
Journal:  JAMA Intern Med       Date:  2018-03-01       Impact factor: 21.873

4.  Population effects on individual systolic blood pressure: a multilevel analysis of the World Health Organization MONICA Project.

Authors:  Juan Merlo; Kjell Asplund; John Lynch; Lennart Råstam; Annette Dobson
Journal:  Am J Epidemiol       Date:  2004-06-15       Impact factor: 4.897

5.  BMI is strongly associated with hypertension, and waist circumference is strongly associated with type 2 diabetes and dyslipidemia, in northern Chinese adults.

Authors:  Ren-Nan Feng; Chen Zhao; Cheng Wang; Yu-Cun Niu; Kang Li; Fu-Chuan Guo; Song-Tao Li; Chang-Hao Sun; Ying Li
Journal:  J Epidemiol       Date:  2012-05-10       Impact factor: 3.211

6.  Prevalence and correlates of hypertension in Maharashtra, India: A multilevel analysis.

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7.  A Study on Knowledge, Awareness, and Medication Adherence in Patients with Hypertension from a Tertiary Care Centre from Northern Sri Lanka.

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Journal:  Int J Hypertens       Date:  2017-11-02       Impact factor: 2.420

8.  Socioeconomic inequalities in the utilisation of hypertension and type 2 diabetes management services in Indonesia.

Authors:  Joko Mulyanto; Dionne S Kringos; Anton E Kunst
Journal:  Trop Med Int Health       Date:  2019-09-15       Impact factor: 2.622

9.  Hypertension in a mountainous province of Vietnam: prevalence and risk factors.

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10.  High blood pressure prevalence and significant correlates: a quantitative analysis from coastal karnataka, India.

Authors:  Chythra R Rao; Veena G Kamath; Avinash Shetty; Asha Kamath
Journal:  ISRN Prev Med       Date:  2012-12-03
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