Literature DB >> 32435263

Effectiveness of a comprehensive blood pressure control program in primary health care in Peru.

Jong Koo Kim1, Hye-Yeon Jo2, Miguel A Malo3, Eun Woo Nam4.   

Abstract

OBJECTIVE: To assess the effectiveness of a comprehensive blood pressure (BP) control program on improving lifestyle indicators, BP levels, and laboratory examination results among people living in low-income urban areas of Peru.
METHODS: A prospective before-and-after study design was applied to 1 271 participants with hypertension or pre-hypertension. The intervention was implemented for 2 years, from May 2015 - April 2017, in three health centers in Lima (2 in Comas and 1 in Callao). The changes in participants over the study period were compared. All participants were provided with individualized consultations, group health education sessions, regular group meetings to improve self-management, and text messages providing health education. Paired t- and chi-square tests were used to determine the significance of the changes in indicators before and after the intervention.
RESULTS: Lifestyle behaviors, such as weight and blood pressure monitoring, reduced salt consumption, increased fruit and vegetable consumption, and stress control improved during the intervention (P < 0.001). The EuroQol-Five Dimension Scale showed improvement (P < 0.001) and body mass index, waist circumference, and systolic and diastolic BPs of the participants significantly decreased (P < 0.001). Low-density lipoprotein cholesterol (LDL-C) and triglyceride decreased (P < 0.01) and high-density lipoprotein cholesterol (HDL-C) increased. The estimated glomerular filtration rate (eGFR) increased after the program (P < 0.001).
CONCLUSIONS: This comprehensive BP control program was effective in improving lifestyle indicators, BP levels, and laboratory results among people living in a low-income urban area of Peru. Increasing opportunities for BP measurement, systematic management of hypertensive patients, and community-based prevention and education programs are paramount to hypertension detection, prevention, and control.

Entities:  

Keywords:  Blood pressure; Peru; healthy lifestyle; primary health care; vulnerable populations

Year:  2020        PMID: 32435263      PMCID: PMC7236863          DOI: 10.26633/RPSP.2020.18

Source DB:  PubMed          Journal:  Rev Panam Salud Publica        ISSN: 1020-4989


Hypertension is one of the most critical worldwide public health issues because it promotes ischemic heart disease, cerebrovascular disease, and chronic kidney disease (1, 2). The 2015 Global Burden of Disease reported 79 risk factors associated with 41% of all disability-adjusted life years in 2015, among which high blood pressure (BP) was identified as the single most significant risk, even greater than smoking or obesity (3). An estimated 28 million people in low- and middle-income countries die annually from chronic, non-communicable disorders (NCDs; 4). Many studies have assessed the effectiveness of chronic disease management in primary care settings (5); for example, Pilleron and colleagues showed effective glycemic control and diabetes management in a primary health center under a chronic care model (6). Furthermore, several studies have reported the effectiveness of multi-component interventions, including the adoption of healthy lifestyles, to control BP (7, 8). In Peru, most deaths are caused by NCDs, among which cardiovascular disease accounts for a large proportion (9). The prevalence of hypertension in Peru is approximately 20%, which by international standards, is quite high; therefore, it is especially important to continuously manage hypertension through medication and effective lifestyle modifications (9). To accomplish this mission, management protocols that can productively utilize the capabilities available at the primary care level are crucial. This study assessed the effectiveness of a comprehensive model for managing patients with high BP at the primary care level in low-income areas of Peru and verified the changes in lifestyle indicators, blood pressure profile, and laboratory examination results after participation in the intervention.

MATERIALS AND METHODS

Study design

A prospective before-and-after study design was applied to evaluate a comprehensive blood pressure control program (CBPCP). The project team conducted health screenings of the subjects before and after the intervention program, and analyzed changes over the study period. The study areas were Comas in northern Lima, and Callao, a seaside area on the western side of metropolitan Lima. The study was conducted in three health centers, two in Comas (Santa Luzmila and Laura Rodriguez) and one in Callao (Bellavista) over the 2-year period from May 2015 – April 2017. Comas and Callao were selected because this study aimed to evaluate the effectiveness of the CBPCP on vulnerable populations living in low-income areas of metropolitan Lima. Both study areas have comparably low socioeconomic status among districts in the Lima metropolitan area (10).

Study sample

The two criteria for study inclusion were age of 18 years or more and hypertensive or pre-hypertensive status. Individuals with BP in the hypertensive range (≥ 140/90 mmHg) or with a current diagnosis of hypertension or who were taking BP medicine were categorized into the hypertension group. If the systolic BP was ≥ 120 and < 140 and the diastolic BP was ≥ 80 and < 90, the person was categorized in the pre-hypertension group. A total of 1 271 people were enrolled in the hypertension (1 071) and pre-hypertension (200) groups, 823 in Comas and 448 in Callao. The study participants were selected by measuring the BP of people visiting the health center or community events, using an automatic BP monitor (Omron® HEM-7113, Omron Healthcare Inc., Lake Forest, Illinois, United States of America). Individuals who met the criteria for hypertension or pre-hypertension received the intervention program. We followed a four-step process to determine which individuals should be in each of the BP categories. First, the study participants were required to visit the program office in the health center at least 2 times in 1 week to have their BP measured by a health professional on the project team. If the participant was free of acute illness, the BP measurements were conducted twice on each arm in accordance with the standards set by the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (11). Second, if the average BP of the participant was in the higher range specified in our protocol, the candidate was referred to a medical doctor for a definitive diagnosis of pre-hypertension or hypertension. Third, the physician indicated the category in which the patient should be placed, as well as the appropriate management program, including medications, if any. At this point, an order was also created for clinical laboratory examinations. Fourth, after this exam, if appropriate, the doctor referred the participant to the office of the CBPCP for registration into the study and its interventional management program.

Variables and measurements

Data were obtained on the general characteristics of each subject, including sex, age, and visiting health center. Age was measured as a continuous variable, while the public health center visits were divided into three centers (Bellavista, Laura Rodriguez, and Santa Luzmila). Knowledge variables related to hypertension were measured using a World Health Organization hypertension knowledge test containing nine questions, with a total score of 0 – 9 points. Dietary knowledge variables were measured by responses to six questions on dietary habits. These questions were developed in consultation with Peruvian nutritionists in the program and in accordance with educational materials used in group health education sessions. Physical activity knowledge variables were measured by responses to six questions on physical activity. These questions were developed in consultation with the Peruvian nurses in the program and in accordance with the educational materials used in group health education sessions. Both dietary and physical activity knowledge were measured as continuous variables with values ranging from 0 – 6 points. Questions on lifestyle-related variables used a 4-point scale (not at all, sometimes, frequently, always) to ask about weight and diet control activities, fruit and vegetable intake, fried food intake, blood pressure measurement, and stress reduction in the previous 30 days. Moderate physical activity was defined as intense physical activity ≥ 20 minutes a day on ≥ 3 days during the past week (7 days); or moderate physical activity for ≥ 30 minutes a day on > 5 days during the past week. The definition of walking was walking for ≥ 10 minutes on ≥ 3 days during the past week. Variables related to moderate physical activity and walking were measured using the International Physical Activity Questionnaire (IPAQ; 12). Current smoking was defined as having smoked ≥ 100 cigarettes during the lifetime and smoking ≥ 1 cigarette every day or sometimes. For participants who reported consuming alcohol in the past year (365 days), high-risk drinking was defined as the consumption of ≥ 7 glasses at one time and more than twice a week for men, and ≥ 5 glasses at one time and more than twice a week for women. Changes in health status were used as variables for physiological indicators. BP, body mass index (BMI), waist circumference, and blood and urine indices were measured as physiological indicators. BP was measured using an automatic BP monitor after the subjects had rested for 5 minutes. The subjects' upper arms were measured twice at heart height and the values were averaged. Both systolic and diastolic BP were measured. Height was measured using an extensometer. Weight was measured with a scale. BMI was calculated using the individual's height and weight (kg/m2). Waist circumference was measured using a tape measure placed horizontally above both pelvic bones and across the navel. Blood and urine indices were measured in each subject using clinical tests performed at the clinical laboratories in the public health center, before and after the intervention program. Measurements included total cholesterol, high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), triglyceride, fasting blood glucose, and creatinine levels, as well as hemoglobin, hematocrit, and estimated glomerular filtration rate (eGFR). Assessment of the subjects' quality of life was measured using the EuroQol Five Dimension Scale (EQ-5D) tool developed by EuroQol (13). It uses a 3-point scale (not/somewhat/very) in response to five questions: ability to exercise, self-care, daily activities, pain/discomfort, and anxiety/depression. When a comparison of before and after was not possible due to missing data in any variable, the participant was excluded from the analysis of that specific variable.

Data collection and statistical analysis

The study data were the records of the participants' health screening results, before and after the CBPCP. The data were recorded by nurses and nutritionists in the three public health centers selected for the study. The results of the tests conducted by the clinical laboratory were also collected by program health personnel. Data were collected through an Internet-based system used by the project team members in each health center to populate a database. All analyses were performed using IBM SPSS® Statistics, version 21 (IBM Corp., Armonk, New York, United States). Paired T-tests were used to compare quantitative indicators, such as anthropometric values, the clinical laboratory results, and quality of life, before and after the intervention. The level of significance was set at 5% for all analyses. Chi-square tests were used to determine the significance of changes in lifestyle.

Description of program interventions

All participants were provided specific services; namely, individualized consultations, group health education sessions, regular group meetings to improve self-management, and mobile and interactive health interventions in the form of text messages. These interventions are described in Table 1.
TABLE 1.

Description of the Comprehensive Blood Pressure (BP) Control Program intervention conducted eight times for 12 weeks in May 2015 - April 2017 in three health centers in Lima and Callao, Peru

Week

Activities

Place / Form

1

Health screening: need analysis, clinical laboratory exam

Provision of diaries for self-recording

Health center

2

Measurement of BP, weight, and waist circumference

Individual counseling: healthy lifestyle behaviors (review diary records of each participant)

Health center

4

Measurement of BP, weight, and waist circumference

Individual counseling: healthy lifestyle behaviors

Group health education session (1st)

Home visit

6

Measurement of BP, weight and waist circumference

Individual counseling: healthy lifestyle behaviors education

Group health education session (2nd)

Phone call

8

Measurement of BP, weight, and waist circumference

Individual counseling: healthy lifestyle behaviors

Group health education session (3rd)

Home visit

10

Measurement of BP, weight, and waist circumference

Individual counseling: healthy lifestyle behaviors

Group health education session (4th)

Phone call

12

Measurement of BP, weight, and waist circumference

Individual counseling: healthy lifestyle behaviors

Group health education session (5th)

Health screening: need analysis, clinical laboratory exam

Health center

Individual consultations.

Over 12 weeks, each of the participants received 8 personal consultations. During the 1st and 8th consultations, the health status of each participant was reviewed in detail by a nurse, nutritionist, laboratory technologist, and a medical doctor. One component of this screening was a needs-analysis table populated with health information for each subject, including anthropometric measures, family history of chronic diseases, extent of healthy living knowledge, daily habits, and quality of life as measured by the EQ-5D. The second component of these consultations was a clinical laboratory examination that included a lipid profile (triglyceride, LDL, HDL, total cholesterol) and metrics regarding fasting glucose, hemoglobin, hematocrit, and creatinine levels, as well as eGFR. The 8 consultations were made up of 4 visits at the health center, 2 home visits, and 2 discussions by mobile phone. All were conducted by a nurse practitioner, nutritionist, social worker, or psychologist. During these consultations, each subject was provided a variety of materials for self-management of their BP and lifestyle. In the first session, three types of diaries were provided to each subject: one for BP readings, one for daily food consumption, and a third for physical activity. The health practitioner explained the use of these diaries. The participants were required to bring the diaries to each consultation because counseling was based on the diary records. At each of these counseling sessions, BP, weight, and waist circumference were measured. Week Activities Place / Form 1 Health screening: need analysis, clinical laboratory exam Provision of diaries for self-recording Health center 2 Measurement of BP, weight, and waist circumference Individual counseling: healthy lifestyle behaviors (review diary records of each participant) Health center 4 Measurement of BP, weight, and waist circumference Individual counseling: healthy lifestyle behaviors Group health education session (1st) Home visit 6 Measurement of BP, weight and waist circumference Individual counseling: healthy lifestyle behaviors education Group health education session (2nd) Phone call 8 Measurement of BP, weight, and waist circumference Individual counseling: healthy lifestyle behaviors Group health education session (3rd) Home visit 10 Measurement of BP, weight, and waist circumference Individual counseling: healthy lifestyle behaviors Group health education session (4th) Phone call 12 Measurement of BP, weight, and waist circumference Individual counseling: healthy lifestyle behaviors Group health education session (5th) Health screening: need analysis, clinical laboratory exam Health center

Group health education sessions.

In addition to the individual counseling sessions, there were group meetings led by a health professional. The original versions of the educational materials were developed by the Korean Centers for Disease Control and Prevention in 2015 (14) and translated into Spanish. In consultation with national health experts, including the chief of the Division of Health Promotion at the Ministry of Health of Peru, certain modifications were made to nutrition-related information, such as the standard for salt intake. Group meetings addressed five themes: hypertension risk factors and complications; healthy diet for blood pressure control; theory behind using physical activity for BP control; practical use of physical activity for BP control; and mental health techniques for controlling BP.

Regular group meetings to improve self-management.

These sessions provided informational and emotional support by giving participants a place to share personal challenges encountered during the study period, as well as positive experiences resulting from behavior changes. The group meetings were held once weekly, for a total of 8 meetings per person. They included training on how to prepare healthy foods, methods for managing mental health issues, and even recreational activities such as dancing and group games.

Mobile health intervention through text messages.

The project team sent messages promoting a healthy lifestyle twice weekly to all participants. These communications addressed five specific subjects: salt and sodium consumption, e.g., “Si quitas el salero de la mesa, ayudarás a tu familia a comer con menos sal”; fruit and vegetable consumption, e.g., “¿Ya comiste alguna fruta o verdura hoy? Trata de comer al menos una en cada comida”; consumption of foods containing high cholesterol and sugar levels, e.g., “Que bueno que comes menos dulces y bebidas con azúcar. Así cuidas tu corazón”; physical activity, e.g., “Hacer actividad física ha sido una excelente decisión. ¡Sigue adelante!”; and medication adherence, e.g., “Sr./Sra._____, toma tu medicación para la hipertensión hoy.”

Ethics

Ethical approval for the study was obtained from the Institutional Review Board of the Wonju Campus of Yonsei University, Wonju, Republic of Korea (IRB Number: 1041849-201410-BM-048-02). Informed consent was provided by each individual before completing the questionnaire or the clinical laboratory examination. The survey data were confidential and were provided only to the participant and health professionals for case management and to the researchers for study.

RESULTS

A total of 1 271 participants with high blood pressure were enrolled in the CBPCP. The mean age (SD) was 62.2 years (±10.86); 27.8% of participants were 70 years of age or more; and 64.0% were women (Table 2). The ratios of pre-hypertension to hypertension in Bellavista, Laura Rodriguez, and Santa Luzmila were 0.13 (53/395), 0.23 (79/342), and 0.20 (68/334), respectively (Table 2). Only 5.7 % of participants were smokers; 9.1% had moderate physical activity; and 12.0% were categorized as drinkers; more specifically, 0.3% were in the high-risk drinking group (Table 2). The ratio of patients using antihypertensive medication in the hypertension group was 0.87 (929/1 071).
TABLE 2.

General characteristics of the subjects of Comprehensive Blood Pressure Control Program (CBPCP) implemented in three health centers in Lima and Callao in Peru from May 2015 to April 2017: Comparisons according to blood pressure group based on pre-hypertension and hypertension status

 

Pre-hypertension (n = 200)

Hypertension (n = 1 071)

Total (N = 1 271)

Age, years

58.30 ± 11.43

62.95 ± 10.61

62.21 ± 10.86

Age group, years

 

 

 

20–49

46 (23.0)

117 (10.9)

163 (12.8)

50–59

61 (30.5)

258 (24.1)

319 (25.1)

60–69

58 (29.0)

377 (35.2)

435 (34.2)

≥70

35 (17.5)

319 (29.8)

354 (27.8)

Women

124 (62.0)

689 (64.3)

813 (64.0)

Health center, district

 

 

 

Bellavista, Callao

53 (26.5)

395 (36.9)

448 (35.2)

Laura Rodriguez, Comas

79 (39.5)

342 (31.9)

421 (33.1)

Santa Luzmila, Comas

68 (34.0)

334 (31.2)

402 (31.6)

Non-smoker

185 (92.5)

1 014 (94.7)

1 199 (94.3)

Moderate physical activity

25 (12.5)

91 (8.5)

116 (9.1)

Walking

58 (29.0)

374 (34.9)

433 (34.1)

Drinking

31 (15.5)

121 (11.3)

152 (12.0)

High-risk drinking status

1 (0.5)

3 (0.3)

4 (0.3)

Antihypertension medication

0 (0.0)

929 (86.7)

929 (73.1)

Comparisons of lifestyle indicators before and after intervention

Table 3 shows the results of lifestyle indicators. There was generally good participant compliance. In particular, 1 203 participants thoroughly answered the questions on weight monitoring, both before and after the intervention program; 1 204 regarding salt consumption; and 1 191 regarding fruits and vegetables. Physical activity levels did not change with the intervention program; however, all other lifestyle indicators improved: increased monitoring of weight and BP, decreased salt and junk food consumption, increased fruit and vegetable consumption, and stress control improved. Furthermore, both drinking alcohol and smoking significantly decreased after the intervention program. Also, the EQ-5D, a metric to assess the quality of life, showed improvement (0.85 - 0.87), while average BMI (29.5 - 28.9 kg/m2) and average waist circumference (96.8 - 95.7 cm) decreased significantly throughout the program.
TABLE 3.

Comparison of lifestyle indicators of the subjects before and after participation in the Comprehensive Blood Pressure Control Program (CBPCP) implemented in three health centers in Lima and Callao in Peru from May 2015 to April 2017

 

Total number

Before

After

P-value[a]

Weight monitoring, (n, %)

1 203

230 (19.1)

663 (55.1)

<0.001

Reduction of salt consumption (n, %)

1 204

570 (47.4)

924 (76.7)

<0.001

Consumption of fruits or vegetables (n, %)

1 191

583 (49.0)

880 (73.9)

<0.001

Avoidance of fried or junk foods (n, %)

1 194

517 (43.3)

808 (67.7)

0.012

Blood pressure monitoring (n, %)

1 185

348 (29.4)

804 (67.8)

<0.001

Practice of stress control (n, %)

1 182

234 (19.8)

504 (42.6)

<0.001

Moderate physical activity (n, %)

1 271

116 (9.1)

147 (11.6)

0.088

Present smoking (n, %)

1 271

72 (5.7)

41 (3.2)

<0.001

Drinking (n, %)

1 271

152 (12.0)

87 (6.8)

<0.001

Present high-risk drinking (n, %)

1 271

4 (0.3)

3 (0.2)

<0.001

Body mass index

1 248

29.51 ± 5.05

28.94 ± 4.93

<0.001

Waist circumference

1 243

96.77 ± 10.84

95.67 ± 10.53

<0.001

EQ-5D

1 271

0.85 ± 0.12

0.87 ± 0.11

<0.001

p-values were calculated using paired t-tests for body mass index (BMI), waist circumference, and EQ-5D and chi-square tests for the other variables.

Pre-hypertension (n = 200) Hypertension (n = 1 071) Total (N = 1 271) Age, years 58.30 ± 11.43 62.95 ± 10.61 62.21 ± 10.86 Age group, years 20–49 46 (23.0) 117 (10.9) 163 (12.8) 50–59 61 (30.5) 258 (24.1) 319 (25.1) 60–69 58 (29.0) 377 (35.2) 435 (34.2) ≥70 35 (17.5) 319 (29.8) 354 (27.8) Women 124 (62.0) 689 (64.3) 813 (64.0) Health center, district Bellavista, Callao 53 (26.5) 395 (36.9) 448 (35.2) Laura Rodriguez, Comas 79 (39.5) 342 (31.9) 421 (33.1) Santa Luzmila, Comas 68 (34.0) 334 (31.2) 402 (31.6) Non-smoker 185 (92.5) 1 014 (94.7) 1 199 (94.3) Moderate physical activity 25 (12.5) 91 (8.5) 116 (9.1) Walking 58 (29.0) 374 (34.9) 433 (34.1) Drinking 31 (15.5) 121 (11.3) 152 (12.0) High-risk drinking status 1 (0.5) 3 (0.3) 4 (0.3) Antihypertension medication 0 (0.0) 929 (86.7) 929 (73.1) Total number Before After P-value[a] Weight monitoring, (n, %) 1 203 230 (19.1) 663 (55.1) <0.001 Reduction of salt consumption (n, %) 1 204 570 (47.4) 924 (76.7) <0.001 Consumption of fruits or vegetables (n, %) 1 191 583 (49.0) 880 (73.9) <0.001 Avoidance of fried or junk foods (n, %) 1 194 517 (43.3) 808 (67.7) 0.012 Blood pressure monitoring (n, %) 1 185 348 (29.4) 804 (67.8) <0.001 Practice of stress control (n, %) 1 182 234 (19.8) 504 (42.6) <0.001 Moderate physical activity (n, %) 1 271 116 (9.1) 147 (11.6) 0.088 Present smoking (n, %) 1 271 72 (5.7) 41 (3.2) <0.001 Drinking (n, %) 1 271 152 (12.0) 87 (6.8) <0.001 Present high-risk drinking (n, %) 1 271 4 (0.3) 3 (0.2) <0.001 Body mass index 1 248 29.51 ± 5.05 28.94 ± 4.93 <0.001 Waist circumference 1 243 96.77 ± 10.84 95.67 ± 10.53 <0.001 EQ-5D 1 271 0.85 ± 0.12 0.87 ± 0.11 <0.001 p-values were calculated using paired t-tests for body mass index (BMI), waist circumference, and EQ-5D and chi-square tests for the other variables. Total number Before After P-value[a] Antihypertension medication 1 071 929 (86.7) 1 043 (97.4) <0.001 Systolic BP 1 271 135.85 ± 20.29 125.05 ± 17.64 <0.001 Diastolic BP 1 271 74.87 ± 18.08 71.29 ± 11.04 <0.001 p-values were calculated using chi-squared tests for antihypertension medication and paired t-tests for systolic and diastolic BP.

Comparison of blood pressure before and after intervention

The ratio of anti-hypertension medication use increased from 73.1% to 82.1%, and both systolic and diastolic BP decreased (Table 4). As a result of the intervention program, 114 participants with hypertension received new prescriptions for antihypertensive medication from qualified medical doctors at the study's health centers. The antihypertensive medications included captopril, enalapril, and losartan (Farmindustria, Lima, Peru).
TABLE 4.

Comparison of blood pressure profile of the subjects before and after participation in the Comprehensive Blood Pressure Control Program (CBPCP) implemented in three health centers in Lima and Callao in Peru from May 2015 to April 2017

 

Total number

Before

After

P-value[a]

Antihypertension medication

1 071

929 (86.7)

1 043 (97.4)

<0.001

Systolic BP

1 271

135.85 ± 20.29

125.05 ± 17.64

<0.001

Diastolic BP

1 271

74.87 ± 18.08

71.29 ± 11.04

<0.001

p-values were calculated using chi-squared tests for antihypertension medication and paired t-tests for systolic and diastolic BP.

Total number Before After P-value[a] Total cholesterol 609 207.16 ± 47.48 202.27 ± 49.02 0.012 Low-density lipoprotein cholesterol 501 132.12 ± 41.42 126.53 ± 42.16 0.007 High-density lipoprotein cholesterol 524 43.90 ± 13.57 45.66 ± 15.92 0.018 Triglyceride 606 165.85 ± 92.11 156.83 ± 89.34 0.007 Glucose 606 102.68 ± 36.42 100.51 ± 34.32 0.122 Creatinine 265 1.03 ± 0.84 0.94 ± 0.65 0.073 Hemoglobin 539 13.66 ± 1.36 13.58 ± 1.36 0.154 Hematocrit 446 41.16 ± 4.05 40.54 ± 4.28 0.001 Estimated glomerular filtration rate 269 78.66 ± 42.68 85.47 ± 47.37 <0.001 p-values were calculated using paired t-tests.

Comparison of laboratory examination results before and after intervention

The laboratory examination results showed that lipid profiles—known risk factors for cardiovascular disease— decreased for LDL-C and triglycerides and increased for HDL-C (Table 5). Likewise, fasting glucose, as well as eGFR and creatinine (kidney status) were lower after the program.
TABLE 5.

Comparison of laboratory examination results of the subjects before and after participation in the Comprehensive Blood Pressure Control Program (CBPCP) implemented in three health centers in Lima and Callao in Peru from May 2015 to April 2017

 

Total number

Before

After

P-value[a]

Total cholesterol

609

207.16 ± 47.48

202.27 ± 49.02

0.012

Low-density lipoprotein cholesterol

501

132.12 ± 41.42

126.53 ± 42.16

0.007

High-density lipoprotein cholesterol

524

43.90 ± 13.57

45.66 ± 15.92

0.018

Triglyceride

606

165.85 ± 92.11

156.83 ± 89.34

0.007

Glucose

606

102.68 ± 36.42

100.51 ± 34.32

0.122

Creatinine

265

1.03 ± 0.84

0.94 ± 0.65

0.073

Hemoglobin

539

13.66 ± 1.36

13.58 ± 1.36

0.154

Hematocrit

446

41.16 ± 4.05

40.54 ± 4.28

0.001

Estimated glomerular filtration rate

269

78.66 ± 42.68

85.47 ± 47.37

<0.001

p-values were calculated using paired t-tests.

DISCUSSION

The results of this study showed that a CBPCP effectively reduced the mean systolic BP and generated other beneficial results in a low-income urban area of Peru. While numerous community-based interventions have been assessed for the prevention of cardiovascular diseases in low- and middle-income countries (15), this intervention program simultaneously accomplished many of the goals attempted by various and more narrowly-aimed efforts. Previous interventions have employed different study designs, including randomized controlled trials (16), cluster controlled trials (17, 18), interventional trials (19), and non-controlled experiments (20). Furthermore, the various interventions have included health education (21) and nutrition training (22) of both individuals and groups, and specially developed clinics (23). However, the present study used an intervention trial and simultaneously employed numerous validated interventions, including medical treatment, health education, exercise training, salt reduction, and nutrition training. Previous interventional studies aimed at achieving BP control at the community level; for example, the Hypertension Control Program in Argentina (HCPIA) trials were a cluster of randomized efforts that deployed a community health worker-led multi-component intervention over 18 months to lower systolic and diastolic BP. HCPIA included health coaching, home BP monitoring, physician education, BP feedback, and weekly text messaging, and yielded systolic and diastolic BP reductions of 19.3 and 12.7 mmHg, respectively (24). Mills and colleagues assessed the comparative effectiveness of eight implementation strategies for BP control in adults with hypertension, reporting that team-based care with medication titration by a non-physician was the most effective alternative and produced a systolic BP reduction of 7.1 mmHg (17). Comparably, ours employed team-based care by non-physicians and conducted medication titration, with a systolic BP reduction of 10.80 mmHg. After our intervention, the habit of BP monitoring increased from 29.4% to 57.8%. A 2010 study also demonstrated the effectiveness of education on BP self-monitoring in patients with hypertension based on the Beliefs, Attitudes, Subjective Norms, and Enabling Factors model (25). Through a multi-approach intervention that included educational materials and individualized consultations, the present study showed changes in major lifestyle metrics. Many studies have assessed the association between such lifestyle elements and the risk of hypertension. Reports in the United States estimated that alcohol might account for close to 10% of the population's burden of hypertension (23). Moreover, both smoking and hypertension are synergistic risk factors for cardiovascular diseases, including myocardial infarction and stroke (26).

Limitations

This study has several limitations. The participant selection process and relatively high attendance rates might have led to sample selection bias. Most of the subjects were patients or their family members who visited the health centers where this project was based, as well as non-related individuals who regularly visited other health centers. Therefore, our sample may have included people with an above-average level of interest in their health. Concerning the data collection, there is the potential for misclassification because data were self-reported. Also, as this study was not a randomized controlled trial, it is limited in determining the independent effects of the intervention. To overcome this limitation, future work should select a control group in the same community as the health center and similar to the area in which the intervention is conducted. Finally, since this study was undertaken in low- and middle-income urban communities in Peru, our results are not generalizable to the entire Peruvian population. The strengths of this study are the assessment of the effects on BP control and cardiometabolic outcomes in the context of a comprehensive intervention in a limited-resource setting.

Conclusions

The study findings showed the effectiveness of a comprehensive BP control program to improve lifestyle indicators, BP levels, and laboratory examination results among people who live in a low-income urban area of Peru and participated in the CBPCP intervention. Increased awareness is needed of the importance of measuring blood pressure and of providing blood pressure monitors in public places so that community members can regularly check their BP. There is also a need for systematic management of patients diagnosed with hypertension. Increasing opportunities for BP measurement, systematic management of hypertensive patients, and community-based prevention and education programs are paramount to concurrently improving hypertension detection, prevention, and control. This program model could be expanded to other areas of Peru and could inform relevant models in other Latin American countries.

Author contributions.

EWN conceived the original idea. JKK planned the experiments. HJ collected and analyzed the data. MAM supported the experiment and provided the WHO guideline. All authors participated in writing the paper. All authors reviewed and approved the final version.

Acknowledgements.

The authors thank the study participants, the health professionals who worked for the intervention program, and all other partners in Peru who made the research available.

Funding.

This work was supported by the Korea International Cooperation Agency under the title of ‘Health Promotion Program in Lima North and Callao, 2014 – 2017’ (P2013-00151-1). The funders had no role in the study design, data collection or analysis, decision to publish, or preparation of the manuscript.

Disclaimer.

Authors hold sole responsibility for the views expressed in the manuscript, which may not necessarily reflect the opinion or policy of the RPSP/PAJPH and/or PAHO.
  18 in total

1.  Participative decentralization of diabetes care in Davao City (Philippines) according to the Chronic Care Model: a program evaluation.

Authors:  Sophie Pilleron; Estelle Pasquier; Ivy Boyoze-Nolasco; Josephine Jasmin Villafuerte; Davide Olchini; Annick Fontbonne
Journal:  Diabetes Res Clin Pract       Date:  2014-01-28       Impact factor: 5.602

Review 2.  2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Paul K Whelton; Robert M Carey; Wilbert S Aronow; Donald E Casey; Karen J Collins; Cheryl Dennison Himmelfarb; Sondra M DePalma; Samuel Gidding; Kenneth A Jamerson; Daniel W Jones; Eric J MacLaughlin; Paul Muntner; Bruce Ovbiagele; Sidney C Smith; Crystal C Spencer; Randall S Stafford; Sandra J Taler; Randal J Thomas; Kim A Williams; Jeff D Williamson; Jackson T Wright
Journal:  J Am Coll Cardiol       Date:  2017-11-13       Impact factor: 24.094

Review 3.  Review of community-based interventions for prevention of cardiovascular diseases in low- and middle-income countries.

Authors:  Steven van de Vijver; Samuel Oti; Juliet Addo; Ama de Graft-Aikins; Charles Agyemang
Journal:  Ethn Health       Date:  2013-01-09       Impact factor: 2.772

4.  Impact of a 2-year intervention program on cardiometabolic profile according to the number of goals achieved.

Authors:  B Almeida-Pittito; A T Hirai; D S Sartorelli; S G A Gimeno; S R G Ferreira
Journal:  Braz J Med Biol Res       Date:  2010-10-14       Impact factor: 2.590

5.  Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.

Authors:  Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella
Journal:  Hypertension       Date:  2003-12-01       Impact factor: 10.190

6.  Community based lifestyle intervention for blood pressure reduction in children and young adults in developing country: cluster randomised controlled trial.

Authors:  Tazeen H Jafar; Muhammad Islam; Juanita Hatcher; Shiraz Hashmi; Rasool Bux; Ayesha Khan; Neil Poulter; Salma Badruddin; Nish Chaturvedi
Journal:  BMJ       Date:  2010-06-07

7.  Effectiveness of a lifestyle intervention led by female community health volunteers versus usual care in blood pressure reduction (COBIN): an open-label, cluster-randomised trial.

Authors:  Dinesh Neupane; Craig S McLachlan; Shiva Raj Mishra; Michael Hecht Olsen; Henry B Perry; Arjun Karki; Per Kallestrup
Journal:  Lancet Glob Health       Date:  2018-01       Impact factor: 26.763

8.  Effectiveness of a community-based health programme on the blood pressure control, adherence and knowledge of adults with hypertension: A PRECEDE-PROCEED model approach.

Authors:  Benedict Jerome D Calano; Mary Jane B Cacal; Christian B Cal; Klein P Calletor; Frances Irah Crichelle C Guce; Maria Victoria V Bongar; John Rey B Macindo
Journal:  J Clin Nurs       Date:  2019-02-13       Impact factor: 3.036

9.  Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Mohammad H Forouzanfar; Lily Alexander; H Ross Anderson; Victoria F Bachman; Stan Biryukov; Michael Brauer; Richard Burnett; Daniel Casey; Matthew M Coates; Aaron Cohen; Kristen Delwiche; Kara Estep; Joseph J Frostad; K C Astha; Hmwe H Kyu; Maziar Moradi-Lakeh; Marie Ng; Erica Leigh Slepak; Bernadette A Thomas; Joseph Wagner; Gunn Marit Aasvang; Cristiana Abbafati; Ayse Abbasoglu Ozgoren; Foad Abd-Allah; Semaw F Abera; Victor Aboyans; Biju Abraham; Jerry Puthenpurakal Abraham; Ibrahim Abubakar; Niveen M E Abu-Rmeileh; Tania C Aburto; Tom Achoki; Ademola Adelekan; Koranteng Adofo; Arsène K Adou; José C Adsuar; Ashkan Afshin; Emilie E Agardh; Mazin J Al Khabouri; Faris H Al Lami; Sayed Saidul Alam; Deena Alasfoor; Mohammed I Albittar; Miguel A Alegretti; Alicia V Aleman; Zewdie A Alemu; Rafael Alfonso-Cristancho; Samia Alhabib; Raghib Ali; Mohammed K Ali; François Alla; Peter Allebeck; Peter J Allen; Ubai Alsharif; Elena Alvarez; Nelson Alvis-Guzman; Adansi A Amankwaa; Azmeraw T Amare; Emmanuel A Ameh; Omid Ameli; Heresh Amini; Walid Ammar; Benjamin O Anderson; Carl Abelardo T Antonio; Palwasha Anwari; Solveig Argeseanu Cunningham; Johan Arnlöv; Valentina S Arsic Arsenijevic; Al Artaman; Rana J Asghar; Reza Assadi; Lydia S Atkins; Charles Atkinson; Marco A Avila; Baffour Awuah; Alaa Badawi; Maria C Bahit; Talal Bakfalouni; Kalpana Balakrishnan; Shivanthi Balalla; Ravi Kumar Balu; Amitava Banerjee; Ryan M Barber; Suzanne L Barker-Collo; Simon Barquera; Lars Barregard; Lope H Barrero; Tonatiuh Barrientos-Gutierrez; Ana C Basto-Abreu; Arindam Basu; Sanjay Basu; Mohammed O Basulaiman; Carolina Batis Ruvalcaba; Justin Beardsley; Neeraj Bedi; Tolesa Bekele; Michelle L Bell; Corina Benjet; Derrick A Bennett; Habib Benzian; Eduardo Bernabé; Tariku J Beyene; Neeraj Bhala; Ashish Bhalla; Zulfiqar A Bhutta; Boris Bikbov; Aref A Bin Abdulhak; Jed D Blore; Fiona M Blyth; Megan A Bohensky; Berrak Bora Başara; Guilherme Borges; Natan M Bornstein; Dipan Bose; Soufiane Boufous; Rupert R Bourne; Michael Brainin; Alexandra Brazinova; Nicholas J Breitborde; Hermann Brenner; Adam D M Briggs; David M Broday; Peter M Brooks; Nigel G Bruce; Traolach S Brugha; Bert Brunekreef; Rachelle Buchbinder; Linh N Bui; Gene Bukhman; Andrew G Bulloch; Michael Burch; Peter G J Burney; Ismael R Campos-Nonato; Julio C Campuzano; Alejandra J Cantoral; Jack Caravanos; Rosario Cárdenas; Elisabeth Cardis; David O Carpenter; Valeria Caso; Carlos A Castañeda-Orjuela; Ruben E Castro; Ferrán Catalá-López; Fiorella Cavalleri; Alanur Çavlin; Vineet K Chadha; Jung-Chen Chang; Fiona J Charlson; Honglei Chen; Wanqing Chen; Zhengming Chen; Peggy P Chiang; Odgerel Chimed-Ochir; Rajiv Chowdhury; Costas A Christophi; Ting-Wu Chuang; Sumeet S Chugh; Massimo Cirillo; Thomas K D Claßen; Valentina Colistro; Mercedes Colomar; Samantha M Colquhoun; Alejandra G Contreras; Cyrus Cooper; Kimberly Cooperrider; Leslie T Cooper; Josef Coresh; Karen J Courville; Michael H Criqui; Lucia Cuevas-Nasu; James Damsere-Derry; Hadi Danawi; Lalit Dandona; Rakhi Dandona; Paul I Dargan; Adrian Davis; Dragos V Davitoiu; Anand Dayama; E Filipa de Castro; Vanessa De la Cruz-Góngora; Diego De Leo; Graça de Lima; Louisa Degenhardt; Borja del Pozo-Cruz; Robert P Dellavalle; Kebede Deribe; Sarah Derrett; Don C Des Jarlais; Muluken Dessalegn; Gabrielle A deVeber; Karen M Devries; Samath D Dharmaratne; Mukesh K Dherani; Daniel Dicker; Eric L Ding; Klara Dokova; E Ray Dorsey; Tim R Driscoll; Leilei Duan; Adnan M Durrani; Beth E Ebel; Richard G Ellenbogen; Yousef M Elshrek; Matthias Endres; Sergey P Ermakov; Holly E Erskine; Babak Eshrati; Alireza Esteghamati; Saman Fahimi; Emerito Jose A Faraon; Farshad Farzadfar; Derek F J Fay; Valery L Feigin; Andrea B Feigl; Seyed-Mohammad Fereshtehnejad; Alize J Ferrari; Cleusa P Ferri; Abraham D Flaxman; Thomas D Fleming; Nataliya Foigt; Kyle J Foreman; Urbano Fra Paleo; Richard C Franklin; Belinda Gabbe; Lynne Gaffikin; Emmanuela Gakidou; Amiran Gamkrelidze; Fortuné G Gankpé; Ron T Gansevoort; Francisco A García-Guerra; Evariste Gasana; Johanna M Geleijnse; Bradford D Gessner; Pete Gething; Katherine B Gibney; Richard F Gillum; Ibrahim A M Ginawi; Maurice Giroud; Giorgia Giussani; Shifalika Goenka; Ketevan Goginashvili; Hector Gomez Dantes; Philimon Gona; Teresita Gonzalez de Cosio; Dinorah González-Castell; Carolyn C Gotay; Atsushi Goto; Hebe N Gouda; Richard L Guerrant; Harish C Gugnani; Francis Guillemin; David Gunnell; Rahul Gupta; Rajeev Gupta; Reyna A Gutiérrez; Nima Hafezi-Nejad; Holly Hagan; Maria Hagstromer; Yara A Halasa; Randah R Hamadeh; Mouhanad Hammami; Graeme J Hankey; Yuantao Hao; Hilda L Harb; Tilahun Nigatu Haregu; Josep Maria Haro; Rasmus Havmoeller; Simon I Hay; Mohammad T Hedayati; Ileana B Heredia-Pi; Lucia Hernandez; Kyle R Heuton; Pouria Heydarpour; Martha Hijar; Hans W Hoek; Howard J Hoffman; John C Hornberger; H Dean Hosgood; Damian G Hoy; Mohamed Hsairi; Guoqing Hu; Howard Hu; Cheng Huang; John J Huang; Bryan J Hubbell; Laetitia Huiart; Abdullatif Husseini; Marissa L Iannarone; Kim M Iburg; Bulat T Idrisov; Nayu Ikeda; Kaire Innos; Manami Inoue; Farhad Islami; Samaya Ismayilova; Kathryn H Jacobsen; Henrica A Jansen; Deborah L Jarvis; Simerjot K Jassal; Alejandra Jauregui; Sudha Jayaraman; Panniyammakal Jeemon; Paul N Jensen; Vivekanand Jha; Fan Jiang; Guohong Jiang; Ying Jiang; Jost B Jonas; Knud Juel; Haidong Kan; Sidibe S Kany Roseline; Nadim E Karam; André Karch; Corine K Karema; Ganesan Karthikeyan; Anil Kaul; Norito Kawakami; Dhruv S Kazi; Andrew H Kemp; Andre P Kengne; Andre Keren; Yousef S Khader; Shams Eldin Ali Hassan Khalifa; Ejaz A Khan; Young-Ho Khang; Shahab Khatibzadeh; Irma Khonelidze; Christian Kieling; Daniel Kim; Sungroul Kim; Yunjin Kim; Ruth W Kimokoti; Yohannes Kinfu; Jonas M Kinge; Brett M Kissela; Miia Kivipelto; Luke D Knibbs; Ann Kristin Knudsen; Yoshihiro Kokubo; M Rifat Kose; Soewarta Kosen; Alexander Kraemer; Michael Kravchenko; Sanjay Krishnaswami; Hans Kromhout; Tiffany Ku; Barthelemy Kuate Defo; Burcu Kucuk Bicer; Ernst J Kuipers; Chanda Kulkarni; Veena S Kulkarni; G Anil Kumar; Gene F Kwan; Taavi Lai; Arjun Lakshmana Balaji; Ratilal Lalloo; Tea Lallukka; Hilton Lam; Qing Lan; Van C Lansingh; Heidi J Larson; Anders Larsson; Dennis O Laryea; Pablo M Lavados; Alicia E Lawrynowicz; Janet L Leasher; Jong-Tae Lee; James Leigh; Ricky Leung; Miriam Levi; Yichong Li; Yongmei Li; Juan Liang; Xiaofeng Liang; Stephen S Lim; M Patrice Lindsay; Steven E Lipshultz; Shiwei Liu; Yang Liu; Belinda K Lloyd; Giancarlo Logroscino; Stephanie J London; Nancy Lopez; Joannie Lortet-Tieulent; Paulo A Lotufo; Rafael Lozano; Raimundas Lunevicius; Jixiang Ma; Stefan Ma; Vasco M P Machado; Michael F MacIntyre; Carlos Magis-Rodriguez; Abbas A Mahdi; Marek Majdan; Reza Malekzadeh; Srikanth Mangalam; Christopher C Mapoma; Marape Marape; Wagner Marcenes; David J Margolis; Christopher Margono; Guy B Marks; Randall V Martin; Melvin B Marzan; Mohammad T Mashal; Felix Masiye; Amanda J Mason-Jones; Kunihiro Matsushita; Richard Matzopoulos; Bongani M Mayosi; Tasara T Mazorodze; Abigail C McKay; Martin McKee; Abigail McLain; Peter A Meaney; Catalina Medina; Man Mohan Mehndiratta; Fabiola Mejia-Rodriguez; Wubegzier Mekonnen; Yohannes A Melaku; Michele Meltzer; Ziad A Memish; Walter Mendoza; George A Mensah; Atte Meretoja; Francis Apolinary Mhimbira; Renata Micha; Ted R Miller; Edward J Mills; Awoke Misganaw; Santosh Mishra; Norlinah Mohamed Ibrahim; Karzan A Mohammad; Ali H Mokdad; Glen L Mola; Lorenzo Monasta; Julio C Montañez Hernandez; Marcella Montico; Ami R Moore; Lidia Morawska; Rintaro Mori; Joanna Moschandreas; Wilkister N Moturi; Dariush Mozaffarian; Ulrich O Mueller; Mitsuru Mukaigawara; Erin C Mullany; Kinnari S Murthy; Mohsen Naghavi; Ziad Nahas; Aliya Naheed; Kovin S Naidoo; Luigi Naldi; Devina Nand; Vinay Nangia; K M Venkat Narayan; Denis Nash; Bruce Neal; Chakib Nejjari; Sudan P Neupane; Charles R Newton; Frida N Ngalesoni; Jean de Dieu Ngirabega; Grant Nguyen; Nhung T Nguyen; Mark J Nieuwenhuijsen; Muhammad I Nisar; José R Nogueira; Joan M Nolla; Sandra Nolte; Ole F Norheim; Rosana E Norman; Bo Norrving; Luke Nyakarahuka; In-Hwan Oh; Takayoshi Ohkubo; Bolajoko O Olusanya; Saad B Omer; John Nelson Opio; Ricardo Orozco; Rodolfo S Pagcatipunan; Amanda W Pain; Jeyaraj D Pandian; Carlo Irwin A Panelo; Christina Papachristou; Eun-Kee Park; Charles D Parry; Angel J Paternina Caicedo; Scott B Patten; Vinod K Paul; Boris I Pavlin; Neil Pearce; Lilia S Pedraza; Andrea Pedroza; Ljiljana Pejin Stokic; Ayfer Pekericli; David M Pereira; Rogelio Perez-Padilla; Fernando Perez-Ruiz; Norberto Perico; Samuel A L Perry; Aslam Pervaiz; Konrad Pesudovs; Carrie B Peterson; Max Petzold; Michael R Phillips; Hwee Pin Phua; Dietrich Plass; Dan Poenaru; Guilherme V Polanczyk; Suzanne Polinder; Constance D Pond; C Arden Pope; Daniel Pope; Svetlana Popova; Farshad Pourmalek; John Powles; Dorairaj Prabhakaran; Noela M Prasad; Dima M Qato; Amado D Quezada; D Alex A Quistberg; Lionel Racapé; Anwar Rafay; Kazem Rahimi; Vafa Rahimi-Movaghar; Sajjad Ur Rahman; Murugesan Raju; Ivo Rakovac; Saleem M Rana; Mayuree Rao; Homie Razavi; K Srinath Reddy; Amany H Refaat; Jürgen Rehm; Giuseppe Remuzzi; Antonio L Ribeiro; Patricia M Riccio; Lee Richardson; Anne Riederer; Margaret Robinson; Anna Roca; Alina Rodriguez; David Rojas-Rueda; Isabelle Romieu; Luca Ronfani; Robin Room; Nobhojit Roy; George M Ruhago; Lesley Rushton; Nsanzimana Sabin; Ralph L Sacco; Sukanta Saha; Ramesh Sahathevan; Mohammad Ali Sahraian; Joshua A Salomon; Deborah Salvo; Uchechukwu K Sampson; Juan R Sanabria; Luz Maria Sanchez; Tania G Sánchez-Pimienta; Lidia Sanchez-Riera; Logan Sandar; Itamar S Santos; Amir Sapkota; Maheswar Satpathy; James E Saunders; Monika Sawhney; Mete I Saylan; Peter Scarborough; Jürgen C Schmidt; Ione J C Schneider; Ben Schöttker; David C Schwebel; James G Scott; Soraya Seedat; Sadaf G Sepanlou; Berrin Serdar; Edson E Servan-Mori; Gavin Shaddick; Saeid Shahraz; Teresa Shamah Levy; Siyi Shangguan; Jun She; Sara Sheikhbahaei; Kenji Shibuya; Hwashin H Shin; Yukito Shinohara; Rahman Shiri; Kawkab Shishani; Ivy Shiue; Inga D Sigfusdottir; Donald H Silberberg; Edgar P Simard; Shireen Sindi; Abhishek Singh; Gitanjali M Singh; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Michael Soljak; Samir Soneji; Kjetil Søreide; Sergey Soshnikov; Luciano A Sposato; Chandrashekhar T Sreeramareddy; Nicolas J C Stapelberg; Vasiliki Stathopoulou; Nadine Steckling; Dan J Stein; Murray B Stein; Natalie Stephens; Heidi Stöckl; Kurt Straif; Konstantinos Stroumpoulis; Lela Sturua; Bruno F Sunguya; Soumya Swaminathan; Mamta Swaroop; Bryan L Sykes; Karen M Tabb; Ken Takahashi; Roberto T Talongwa; Nikhil Tandon; David Tanne; Marcel Tanner; Mohammad Tavakkoli; Braden J Te Ao; Carolina M Teixeira; Martha M Téllez Rojo; Abdullah S Terkawi; José Luis Texcalac-Sangrador; Sarah V Thackway; Blake Thomson; Andrew L Thorne-Lyman; Amanda G Thrift; George D Thurston; Taavi Tillmann; Myriam Tobollik; Marcello Tonelli; Fotis Topouzis; Jeffrey A Towbin; Hideaki Toyoshima; Jefferson Traebert; Bach X Tran; Leonardo Trasande; Matias Trillini; Ulises Trujillo; Zacharie Tsala Dimbuene; Miltiadis Tsilimbaris; Emin Murat Tuzcu; Uche S Uchendu; Kingsley N Ukwaja; Selen B Uzun; Steven van de Vijver; Rita Van Dingenen; Coen H van Gool; Jim van Os; Yuri Y Varakin; Tommi J Vasankari; Ana Maria N Vasconcelos; Monica S Vavilala; Lennert J Veerman; Gustavo Velasquez-Melendez; N Venketasubramanian; Lakshmi Vijayakumar; Salvador Villalpando; Francesco S Violante; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Gregory R Wagner; Stephen G Waller; Mitchell T Wallin; Xia Wan; Haidong Wang; JianLi Wang; Linhong Wang; Wenzhi Wang; Yanping Wang; Tati S Warouw; Charlotte H Watts; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Andrea Werdecker; K Ryan Wessells; Ronny Westerman; Harvey A Whiteford; James D Wilkinson; Hywel C Williams; Thomas N Williams; Solomon M Woldeyohannes; Charles D A Wolfe; John Q Wong; Anthony D Woolf; Jonathan L Wright; Brittany Wurtz; Gelin Xu; Lijing L Yan; Gonghuan Yang; Yuichiro Yano; Pengpeng Ye; Muluken Yenesew; Gökalp K Yentür; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Zourkaleini Younoussi; Chuanhua Yu; Maysaa E Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Shankuan Zhu; Xiaonong Zou; Joseph R Zunt; Alan D Lopez; Theo Vos; Christopher J Murray
Journal:  Lancet       Date:  2015-09-11       Impact factor: 79.321

10.  Improving heart healthy lifestyles among participants in a Salud para su Corazón promotores model: the Mexican pilot study, 2009-2012.

Authors:  Héctor Balcázar; Ana Cecilia Fernández-Gaxiola; Ana Bertha Pérez-Lizaur; Rosa Adriana Peyron; Carma Ayala
Journal:  Prev Chronic Dis       Date:  2015-03-12       Impact factor: 2.830

View more
  1 in total

1.  [Impact of the HEARTS Initiative in a second-level health institution in ColombiaImpacto da iniciativa HEARTS em um estabelecimento de atenção secundária à saúde na Colômbia].

Authors:  Sofía Rivas Rivas; Danna Camila Serna Tobón; Karol Yuliana Mahecha Gallego; María Paula Tejada Cardona; Juan Daniel Castrillón Spitia; Paula Andrea Moreno Gutierrez; Alexandra Agudelo Ramírez
Journal:  Rev Panam Salud Publica       Date:  2022-09-16
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.