ABSTRACT: 9 DOES SOY CONSUMPTION HAVE AN EFFECT ON HYPERTENSION IN LOW-INCOME RURAL SOUTH AFRICAN WOMEN?

Similar documents
Trends In CVD, Related Risk Factors, Prevention and Control In China

Cardiovascular Risk Assessment and Management Making a Difference

PROTEINS: the often neglected nutrient in development

To reduce the risk of cardiovascular disease and diabetes among Oklahoma state employees.

Depok-Indonesia STEPS Survey 2003

Urbanization, Poverty and NCDs in SSA

Mississippi Stroke Systems of Care

290 Biomed Environ Sci, 2016; 29(4):

Total risk management of Cardiovascular diseases Nobuhiro Yamada

Know Your Number Aggregate Report Comparison Analysis Between Baseline & Follow-up

Different worlds, different tasks for health promotion: comparisons of health risk profiles in Chinese and Finnish rural people

Risk Factors for NCDs

Know Your Number Aggregate Report Single Analysis Compared to National Averages

Table S1. Characteristics associated with frequency of nut consumption (full entire sample; Nn=4,416).

The investigation of serum lipids and prevalence of dyslipidemia in urban adult population of Warangal district, Andhra Pradesh, India

major public health burden

Disorders of Lipid Metabolism Toolkit Table of Contents

Nutrition Care Process. Catherine Villafranca & Anthony Richitt

NOT-FED Study New Obesity Treatment- Fasting, Exercise, Diet

Clinical Recommendations: Patients with Periodontitis

Non communicable Diseases in Egypt and North Africa

SIGN 149 Risk estimation and the prevention of cardiovascular disease. Quick Reference Guide July Evidence

Media centre Obesity and overweight

Your Name & Phone Number Here! Longevity Index

PROJECT Ntshembo: Improving adolescent health and interrupting mother-infant transfer of health risk in Africa. INDEPTH Network

Understanding new international guidelines to tackle CV Risk: A practical model John Deanfield, MD UCL, London United Kingdom s

Text-based Document. Predicting Factors of Body Fat of Metabolic Syndrome Persons. Downloaded 13-May :51:47.

SOUTH AFRICAN DECLARATION ON THE PREVENTION AND CONTROL OF NON-COMMUNICABLE DISEASES

Public Health and Nutrition in Older Adults. Patricia P. Barry, MD, MPH Merck Institute of Aging & Health and George Washington University

Faculty of Health Sciences Outcomes of campaigns for Palestine refugees with diabetes mellitus attending UNRWA health centers

Volume 11 No. 1 February 2011 DIET AND HYPERTENSION: A COMPARATIVE ANALYSIS OF FOUR DIET GROUPS IN SOUTH-WESTERN NIGERIA

Figure S1. Comparison of fasting plasma lipoprotein levels between males (n=108) and females (n=130). Box plots represent the quartiles distribution

the African scenario

Heart Health. Team Member Workbook Session 1 LEARN IDENTIFY ACT. Learn about HTHU Level 3 and the point system

ASSeSSing the risk of fatal cardiovascular disease

National Health & Morbidity Survey 2015; NCD Risk Factors

Diabetes Research Unit, Department of Clinical Medicine Faculty of Medicine, University of Colombo, Colombo, Sri Lanka. 2

Guidelines on cardiovascular risk assessment and management

Prevalance of Lifestyle Associated Risk Factor for Non- Communicable Diseases among Young Male Population in Urban Slum Area At Mayapuri, New Delhi

Diabetes, Diet and SMI: How can we make a difference?

Overall Assessment: Good level of support for target although there were some concerns on achievability.

Hypertension and obesity. Dr Wilson Sugut Moi teaching and referral hospital

Original article Effects of lifestyle interventions in adults with pre- hypertension and hypertension - an interventional study

The prevalence of obesity in adults has doubled over the past 30 years

2003 World Health Organization (WHO) / International Society of Hypertension (ISH) Statement on Management of Hypertension.

SOUTH AFRICAN DECLARATION ON THE PREVENTION AND CONTROL OF NON-COMMUNICABLE DISEASES

Screening Results. Juniata College. Juniata College. Screening Results. October 11, October 12, 2016

Hypertension with Comorbidities Treatment of Metabolic Risk Factors in Children and Adolescents

Survey on Non Communicable Disease Risk Factors Maldives, 2004

Efficacy of Using Who's Steps Approach to Identify "At Risk" Subjects for Diet Related Non-Communicable Diseases

EFFECT OF PLANT SOURCE DIETARY INTAKE ON BLOOD PRESSURE OF ADULTS IN BAYELSA STATE

National Strategic Action Plan for Prevention and control of NCDs ( ) Myanmar. April 2017

Obesity Causes Complications and Dietary Weight Loss Strategy

IDSP-NCD Risk Factor Survey

Nutrition knowledge on diet related chronic non communicable diseases among the graduates from South Eastern University of Sri Lanka

CHAPTER 3 DIABETES MELLITUS, OBESITY, HYPERTENSION AND DYSLIPIDEMIA IN ADULT CENTRAL KERALA POPULATION

Population: All participants Number of Obs: Variable # Sas Name: Sas Label: Categories: Variable # Sas Name: F80VNUM. Sas Label: Categories:

Evi Seferidi PhD student Imperial College London

CHAPTER 3: Modifiable risk factors and diabetes self-care

Risk Factors of Non-Communicable Diseases in an Urban Locality of Andhra Pradesh. Prabakaran J 1, Vijayalakshmi N 2, Ananthaiah Chetty N 3

Physical inactivity and unhealthy

Prevalence and risk factors of hypertension, among adults residing in an urban area of North India

Awareness of Hypertension, Risk Factors and Complications among Attendants of a Primary Health Care Center In Jeddah, Saudi Arabia

WHO STEPwise Approach to Chronic Disease Risk Factor Surveillance (STEPS)

programme. The DE-PLAN follow up.

Vascular Diseases. Overview: Selected Slides

CARDIOVASCULAR RISK FACTORS IN WHITE COLLAR WORKERS UNDER SHIFT WORK. K. Vangelova. National Center of Public Health and Analyses Sofia, Bulgaria

Prevalence of Risk Factors of Non-communicable Diseases in a District of Gujarat, India

University of Padova, Padua, Italy, and HARVEST Study Group, Italy

Health Improvement Initiative

Nutrition and Physical Activity Situational Analysis

Impact of Physical Activity on Metabolic Change in Type 2 Diabetes Mellitus Patients

Prevalence of Diabetes Mellitus and Pre-Diabetes in the Philippines: A Sub-study of the 7 th National Nutrition and Health Survey (2008)

Obesity in the pathogenesis of chronic disease

Implications of The LookAHEAD Trial: Is Weight Loss Beneficial for Patients with Diabetes?

INADEQUATE FOOD INTAKE

The growing burden of noncommunicable diseases (NCDs)

International model for prevention of chronic disease: Finland experience

MyAction Couple: Primary Prevention Case Study. Teresa Mackay, Rhian Houghton, Tim Grove

2016 EUROPEAN GUIDELINES ON CVD PREVENTION IN CLINICAL PRACTICE

International Journal of Nutrition and Agriculture Research

Risk Factors for Heart Disease

Biomed Environ Sci, 2016; 29(3): LI Jian Hong, WANG Li Min, LI Yi Chong, ZHANG Mei, and WANG Lin Hong #

Andrejs Kalvelis 1, MD, PhD, Inga Stukena 2, MD, Guntis Bahs 3 MD, PhD & Aivars Lejnieks 4, MD, PhD ABSTRACT INTRODUCTION. Riga Stradins University

Prevalence of Cardiac Risk Factors among People Attending an Exhibition

Obesity in South Korea

Report Operation Heart to Heart

The Importance of Local Research in Developing Health Strategy The Case of Cardiovascular Disease Prevention in Sri Lanka

Effect of bitter gourd clinical trial in prediabetics: blind, randomised, cross over trial in India

Saudi Health Interview Survey Results. in collaboration with

Metabolic Syndrome. Shon Meek MD, PhD Mayo Clinic Florida Endocrinology

Meeting the 2025 salt and raised blood pressure reduction targets

SUPPLEMENTARY MATERIAL

Secondary prevention and systems approaches: Lessons from EUROASPIRE and EUROACTION

overweight you are part of it!... Healthier, fitter, safer... Seafarers Health Information Programme ICSW S.H.I.P.

Bridging health promotion intervention policy with behavioral risk factor surveillance in Thailand

Results/ conclusion. Reference Duration Number subjects. Study description. Limitations of the data. Randomized controlled trial (RCT)

Determining nutritional status and food intake patterns of pre-school children in Empangeni, South Africa

Cardiovascular Risk Prediction Using WHO/ISH Chart in Urban and Rural Subjects Attending Diabetes Screening Clinic: A Pilot Study

Associations between Metabolic Syndrome and Inadequate Sleep Duration and Skipping Breakfast

Transcription:

ABSTRACT: 9 DOES SOY CONSUMPTION HAVE AN EFFECT ON HYPERTENSION IN LOW-INCOME RURAL SOUTH AFRICAN WOMEN? W.H. OLDEWAGE-THERON & A.A. EGAL Centre of Sustainable Livelihoods, Vaal University of Technology, South Africa E-mail: wilna@vut.ac.za A cross-sectional baseline survey found poverty, poor dietary intake behaviour and hypertension (56%) in women in a rural community in South Africa. The aim of the study was to plan and implement a community participatory project with appropriate food and nutrition intervention studies (soy gardening and food preparation skills training) to address the prevalence of hypertension of the women. The study design was an experimental 18-month intervention study with pre- and post measurements in a hypertensive (n=30) and non-hypertensive (n=24) group. A random sample of 54 women gave consent to participate in the soy gardening programme (n=162). Blood pressure measurements were taken before and after the intervention. Dietary intake patterns were measured by 24-hour recall questionnaires. Compliance of soy planting, harvesting and consumption was tested through ongoing monitoring and questionnaires. Data were analysed on SPSS, version 19.0 for descriptive statistics (mean±sd, frequencies). Paired t- tests were done to determine the significant impact of the intervention. No significant difference was observed between the soy consumption patterns of the two groups. The mean systolic blood pressure was significantly (p=0.000) reduced from 150.6±23.8 mm Hg to 133.8±22.6 mm Hg in the hypertensive group after the intervention. Similarly, the diastolic blood pressure was significantly (p=0.001) reduced from 99.9±13.5 mm Hg before to 89.4±14.8 mm Hg after the intervention. No significant changes were observed in the blood pressure of the non-hypertensive group. It was concluded that the usual intake of soy foods resulted in having a beneficial effect on both systolic and systolic blood pressure in low-income rural women. C.1

ABSTRACT: 11 CONSUMPTION OF SOY ON ANTHROPOMETRIC PARAMETERS IN WOMEN IN QWA-QWA, SOUTH AFRICA EGAL A A & OLDEWAGE-THERON W H Centre of Sustainable Livelihoods, Vaal University of Technology, South Africa E-mail:abdul@vut.ac.za / wilna@vut.ac.za A cross-sectional baseline survey found poverty, poor dietary intake behaviour, over weight (30%) and obesity (52%) in women in a rural community in South Africa. The objective of the study was to plan and implement a community participatory project with appropriate food and nutrition intervention studies (soy gardening and food preparation skills training) to address the prevalence in over weight and obesity among the respondents. The study design consisted of an experimental 18-month intervention study with pre- and post-measurements in normal (n=10), over weight (n=16) and obese (n=28) groups. A random sample of 54 women gave consent to participate in the soy gardening programme (n=162). Dietary intake patterns were measured by 24-hour recall questionnaires. Compliance of soy planting, harvesting and consumption were tested through ongoing monitoring and questionnaires. Data were analysed on SPSS, version 19.0 for descriptive statistics (mean±sd, frequencies). Paired t-tests were done to determine the significant impact of the intervention. All four measurements (weight, body mass index {BMI}, weight/height ratio & waist) were highly correlated. Though not significant, the mean weight and BMI differences between all groups after intervention were 0.787±6.11 and 0.291±2.46, respectively. Weight/height ratio as well as waist measurements of all three groups made positive improvements (p< 0.00). The same trend was observed in each of the three groups except the obese group with little (waist) or no significant improvements. The inclusion of soy in both household gardening and into the diet of the respondents ameliorated both the observed pre-intervention poor nutritional status and food insecurity. C.1

koerantuitknipsels Wilna Oldewage-Theron PhD RD(SA) & Abdulkadir A Egal PhD (PHN)

In SA factors like poverty, violence, lack of education and inadequate services contribute to the increasing incidence of noncommunicable diseases (NCD) amongst adults. NCD account for 40% of all women deaths in SA.

Risk factor Stroke IHD Other Hypertensive CVD disease Hypertension Overweight and obesity % total deaths Attributable burden 9.0 50.0 42.0 22.0 72.0 7.0 45.0 38.0 68.0 High serum cholesterol 4.6 29.0 59.0 (Senekal et al., 2008:387)

Qwa-Qwa, situated in the Free State province Urban and rural areas Population of 766 754 724 031 Africans (94.4%) 73% living below the poverty line for SA (Punt et al., 2005).

Baseline survey (n=300 households) in 2008 2009 in three tribal areas: Bakoena, Batlokoa and Dinkoeng community 13.3% employed Monthly household income < R 1500 (US$170) (82.6%) Poor dietary intake habits Poor nutritional status 56% hypertension 26.0% and 41.9% overweight and obese respectively

The objective of this study was to plan and implement a community participatory project with appropriate food and nutrition intervention studies to address the prevalence of malnutrition and NCD in women. The focus of this paper was on the consumption of 25 g of soy protein daily on CVD risk factors (HT, obesity, chol).

Experimental 18-month intervention study. Random sample of 90 women who gave consent (n=160). Pre- and post measurements: Blood pressure Weight, height, waist Serum lipid profile

Soy sensitisation Soy & vegetable gardening Recipe development

Blood pressure (HT classification SA guidelines) Dietary intake patterns (24-hour recall) Anthropometric measurements (BMI & W:H) Serum lipids (NCEP classification) Compliance testing SPSS, version 21 (descriptive analyses) Paired and independent t-tests to determine the significant impact of the intervention

Mean age 46.5±12.9 years 41.1 % hypertensive 31.1% overweight and 46.6% obese 40% (n=36) of the women were hypercholesterolaemic, based on LDL-C

Hypertensive group (n=37, 51%) Non-hypertensive group (n=53, 49%) Systolic BP Diastolic BP Before (mean SD) After (mean SD) Significance P Before (mean SD) After (mean SD) Significance P 137.7 19.2 138.7 26.5 0.811 116.2 12.2 128.5 18.6 0.000 95.8 9.7 90.1 19.9 0.067 77.7 8.4 85.0 14.4 0.002

Blood pressure classification Blood pressure classification Severe HT 8.1 13.5 Severe HT 1.9 0 Moderate HT 10.8 8.1 Moderate HT 0 11.3 Mild HT High normal BP 0 10.8 48.6 78.4 HT group follow-up HT group baseline Mild HT High normal BP 0 26.4 20.8 34 Non-HT group followup Non-HT group baseline Normal BP 0 21.6 Normal BP 39.6 66 0 50 100 Percentage of respondents 0 50 100 Percentage of respondents

Variable Normal weight Overweight Obese group group group (n=42, 46.7%) (n=20, 22.2% (n=28, 31.1%) Baseline BMI (kg/m 2 ) 21.8±1.9 27.7±1.4 30.±6.4 WtHR 0.46±0.05 0.52±0.12 0.53±0.15 Follow-up BMI (kg/m 2 ) 25.0±5.3 29.6±3.8 30.7±6.5 WtHR 0.52±0.08 0.59±0.04 0.58±0.07

Cholesterolaemic group (n=36, 40%) Normo-cholesterolaemic group (n=54, 60%) Variable Unit of measure Normal range Baseline Mean±SD Follow-up Mean±SD Baseline Mean±SD Follow-up Mean±SD Serum mmol/l <5.2 mmol/l 23 6.8±1.9 a 7.2±2.2 c 4.4±1.5 a,b 7.4±2.6 b,c cholesterol HDLcholesterol mmol/l >1.68 mmol/l 0.8±0.5 a,b 1.4±0.5 a 0.9±0.6 b 1.4±0.6 normal 23 LDLcholesterol mmol/l <3.3 mmol/l normal 23 5.4±1.8 a 3.9±1.9 a,c 3.0±1.3 a,b 2.0±1.9 b,c Serum mmol/l <1.7 mmol/l 2.7±0.9 a,b 2.0±1.0 a 2.3±0.8 b 2.2±1.2 triglycerides normal 23 HDL:LDL ratio >0.4 22 0.18±0.14 a,b 0.27±0.1 a 0.37±0.33 b 0.39 0.8 5

Hypercholesterolaemia, hypertension and obesity were prevalent among this group of women. Consumption of 25g soy protein per day led to significant: Reduction in diastolic blood pressure in the hypertensive group Increase in BMI in the normal weight and overweight groups Increase in the WtHR in the normal and overweight and obese groups Reduction in LDL-C in the cholesterolaemic and normocholesterolaemic groups.

The intervention had a beneficial effect on lipid profile. The anthropometric, hypertension and TC findings were not consistent with the literature.

Urinary/blood samples were not analysed for isoflavones during the intervention to measure compliance. Several confounding factors, such as daily consumption dose, timing between the last dose and fasting blood collection, method of soy processing and intestinal bioavailability, could be responsible for the lack of effect.

Only baseline and follow-up data collection was done and the researchers can thus not assess the variability of HT and lipid parameters over time.

Confounding factors to be analysed and measured. A case-controlled intervention study with a combination of cholesterol-lowering foods, including soy protein, should be implemented in this community to address the prevalence of CVD risk factors. Other interventions lifestyle and dietary changes

wilna@vut.ac.za / abdul@vut.ac.za