Literature DB >> 35769449

A Cross-Sectional Assessment of Dietary Patterns and Their Relationship to Hypertension and Obesity in Indonesia.

Oyedolapo A Anyanwu1, Sara C Folta1, Fang Fang Zhang1, Kenneth Chui2, Virginia R Chomitz2, Martha I Kartasurya3, Elena N Naumova1.   

Abstract

Background: There is a marked increase in the intake of foods associated with higher risks for hypertension and obesity in Indonesia. However, studies assessing the relationship between dietary patterns and health outcomes are few. Objective: The purpose of this study was to characterize dietary patterns and investigate their relationship with hypertension and obesity in Indonesia.
Methods: Exploratory factor analysis was used to derive dietary patterns from a brief food scanner filled by 31,160 respondents aged 15 y and older in the Indonesian Family Life Survey wave 5 (IFLS 5). Age- and gender-specific quintiles of consumption were created for each pattern and the association between quintiles of each dietary pattern and the odds for hypertension and obesity were assessed using multivariate logistic regression analyses.
Results: Two dietary patterns were identified: a modern dietary pattern characterized by fast foods, soft drinks, sweet snacks, and salty snacks and a traditional pattern characterized by fish, vegetables, and fruits. Younger age and being male were significantly correlated with higher consumption of the modern pattern (P < 0.0001 and P = 0.03, respectively). Analyses showed no association between hypertension and the modern pattern. However, the traditional pattern revealed lower odds for hypertension among those in the highest quintile compared with the lowest quintile (OR: 0.84; 95% CI: 0.74, 0.95; P-trend < 0.05). Individuals in the highest quintile of each dietary pattern had higher odds of obesity compared with those in the lowest quintile (modern pattern-OR: 1.31; 95% CI: 1.15, 1.49; P-trend < 0.00; traditional pattern-OR: 1.25; 95% CI: 1.10, 1.42; P-trend < 0.01). Conclusions: More studies using gold-standard measures of dietary intake are needed to better understand the relationship between the modern dietary pattern and hypertension in Indonesia. Also, both modern and traditional dietary patterns in Indonesia may be energy dense, leading to higher risk for obesity.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition.

Entities:  

Keywords:  LMICs; dietary patterns; exploratory factor analysis; hypertension; nutrition transitions; obesity

Year:  2022        PMID: 35769449      PMCID: PMC9233620          DOI: 10.1093/cdn/nzac091

Source DB:  PubMed          Journal:  Curr Dev Nutr        ISSN: 2475-2991


  37 in total

1.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  Ann Intern Med       Date:  2007-10-16       Impact factor: 25.391

2.  Cardiovascular Disease Risk Factors Among Blue and White-collar Workers in Indonesia.

Authors:  Nurhayati A Prihartono; Fitriyani Fitriyani; Woro Riyadina
Journal:  Acta Med Indones       Date:  2018-04

3.  Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake.

Authors:  Kevin D Hall; Alexis Ayuketah; Robert Brychta; Hongyi Cai; Thomas Cassimatis; Kong Y Chen; Stephanie T Chung; Elise Costa; Amber Courville; Valerie Darcey; Laura A Fletcher; Ciaran G Forde; Ahmed M Gharib; Juen Guo; Rebecca Howard; Paule V Joseph; Suzanne McGehee; Ronald Ouwerkerk; Klaudia Raisinger; Irene Rozga; Michael Stagliano; Mary Walter; Peter J Walter; Shanna Yang; Megan Zhou
Journal:  Cell Metab       Date:  2019-05-16       Impact factor: 27.287

4.  PrimeScreen, a brief dietary screening tool: reproducibility and comparability with both a longer food frequency questionnaire and biomarkers.

Authors:  S L Rifas-Shiman; W C Willett; R Lobb; J Kotch; C Dart; M W Gillman
Journal:  Public Health Nutr       Date:  2001-04       Impact factor: 4.022

5.  Healthy worker effect phenomenon.

Authors:  Divyang Shah
Journal:  Indian J Occup Environ Med       Date:  2009-08

6.  Food consumption patterns and nutrition transition in South-East Asia.

Authors:  Nur Indrawaty Lipoeto; Khor Geok Lin; Imelda Angeles-Agdeppa
Journal:  Public Health Nutr       Date:  2012-11-19       Impact factor: 4.022

7.  A global database of food and nutrient consumption.

Authors:  Shahab Khatibzadeh; Michael Saheb Kashaf; Renata Micha; Saman Fahimi; Peilin Shi; Ibrahim Elmadfa; Shadi Kalantarian; Pattra Wirojratana; Majid Ezzati; John Powles; Dariush Mozaffarian
Journal:  Bull World Health Organ       Date:  2016-09-16       Impact factor: 9.408

8.  The Prevalence and Social Determinants of Hypertension among Adults in Indonesia: A Cross-Sectional Population-Based National Survey.

Authors:  Karl Peltzer; Supa Pengpid
Journal:  Int J Hypertens       Date:  2018-08-09       Impact factor: 2.420

Review 9.  Healthy Worker Effect Phenomenon: Revisited with Emphasis on Statistical Methods - A Review.

Authors:  Ritam Chowdhury; Divyang Shah; Abhishek R Payal
Journal:  Indian J Occup Environ Med       Date:  2017 Jan-Apr

10.  Association Between Healthy Eating Patterns and Risk of Cardiovascular Disease.

Authors:  Zhilei Shan; Yanping Li; Megu Y Baden; Shilpa N Bhupathiraju; Dong D Wang; Qi Sun; Kathryn M Rexrode; Eric B Rimm; Lu Qi; Walter C Willett; JoAnn E Manson; Qibin Qi; Frank B Hu
Journal:  JAMA Intern Med       Date:  2020-08-01       Impact factor: 21.873

View more
  2 in total

Review 1.  Obesity, Diabetes Mellitus, and Vascular Impediment as Consequences of Excess Processed Food Consumption.

Authors:  Susmita Sinha; Mainul Haque
Journal:  Cureus       Date:  2022-09-04

2.  The Effects of the COVID-19 Pandemic on Nutrition, Health and Environment in Indonesia: A Qualitative Investigation of Perspectives from Multi-Disciplinary Experts.

Authors:  Oyedolapo A Anyanwu; Elena N Naumova; Virginia R Chomitz; Fang Fang Zhang; Kenneth Chui; Martha I Kartasurya; Sara C Folta
Journal:  Int J Environ Res Public Health       Date:  2022-09-14       Impact factor: 4.614

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.