Dietary Patterns, Inflammation, Zinc Status, and Body Composition in Multi-Ethnic Women of Reproductive Age in Jakarta

Официальное название

The Relationship Between Dietary Patterns and Hair Zinc Levels With Body Composition, TNF-α, and Blood Pressure in Women of Reproductive Age (WRA) With Multi-Ethnicities in Jakarta: A Cross-Sectional Study

Обзор

This study aims to determine the relationship between dietary patterns and hair zinc levels with body composition, tumor necrosis factor alpha (TNF-α), and blood pressure in women of reproductive age from different ethnic backgrounds in Jakarta, Indonesia (specifically Minangkabau, Sundanese, Javanese, Betawi, and Chinese). Participants are assessed once through dietary assessment, anthropometric measurements, and biological sample collection.

Подробное описание

This cross-sectional observational study will evaluate dietary patterns and their association with nutritional status and inflammation in women of reproductive age. Participants will undergo dietary intake assessments (including the SQ-FFQ and a 3-day food diary), anthropometric and body composition measurements using the BOD POD (weight, height, fat mass, fat-free mass), and biospecimen sampling (blood and hair) for laboratory analysis of TNF-α and hair zinc concentrations. These findings are expected to offer information about dietary determinants and zinc micronutrient status that influence body composition, inflammation, and blood pressure in urban reproductive-age women from diverse ethnic backgrounds.

Вмешательства

• Другое Not applicable- observational study
  This is an observational study; no interventions are administered to participants.

Первичные конечные точки

• Dietary Zinc Intake [Срок оценки: At baseline (single assessment)]
• Diet Quality Assessed by HEI-2020 [Срок оценки: Baseline (cross-sectional assessment at enrollment)]
• Planetary Health Diet Index (PHDI) [Срок оценки: Baseline (cross-sectional data collection)]
• Ultra-Processed Food (UPF) intake [Срок оценки: Baseline (cross-sectional data collection)]
• Body Composition (Fat Mass, Fat-Free Mass) [Срок оценки: At baseline (single assessment)]
• Hair Zinc Concentration [Срок оценки: At baseline (single assessment)]
• Blood Pressure [Срок оценки: At baseline (single assessment)]

Вторичные конечные точки (1)

• Inflammatory Biomarker Levels (TNF-α in Serum) [Срок оценки: At baseline (single assessment)]

Критерии участия

Критерии включения

• Women aged 19-49 years
• Residing in Jakarta for at least 6 months
• Currently menstruating (not menopausal)
• From Minangkabau, Sundanese, Javanese, Betawi, or Chinese ethnicity
• Not pregnant or breastfeeding at the time of study

Критерии исключения

• History of chronic diseases (e.g., diabetes, cardiovascular disease, cancer)
• Currently on a medically prescribed diet or taking medication affecting nutrient status
• Any condition interfering with accurate body composition measurement

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Модель наблюдения

Только случаи

Центры проведения

Индонезия · 1 центр

• Human Nutrition Research Center (HNRC) Laboratory, IMERI, Faculty of Medicine, Universitas — Jakarta Pusat

Публикации

• Lee J, Chae J, Kim M, Jung SY, Yoo SD, Kang SH, Lee K, Kim JH. Association of body composition and cardiovascular fitness with hypertension in a middle-aged adults: a cross-sectional study. Front Cardiovasc Med. 2025 Aug 14;12:1582936. doi: 10.3389/fcvm.2025.1582936. eCollection 2025. PMID 40894483
• Ennes Dourado Ferro F, de Sousa Lima VB, Mello Soares NR, Franciscato Cozzolino SM, do Nascimento Marreiro D. Biomarkers of metabolic syndrome and its relationship with the zinc nutritional status in obese women. Nutr Hosp. 2011 May-Jun;26(3):650-4. doi: 10.1590/S0212-16112011000300032. PMID 21892588
• Ding J, Liu Q, Liu Z, Guo H, Liang J, Zhang Y. Association Between Dietary Zinc Intake and Metabolic Syndrome. A Meta-Analysis of Observational Studies. Front Nutr. 2022 Feb 3;9:825913. doi: 10.3389/fnut.2022.825913. eCollection 2022. PMID 35187040
• Pettersson-Pablo P, Nilsson TK, Breimer LH, Hurtig-Wennlof A. Body fat percentage is more strongly associated with biomarkers of low-grade inflammation than traditional cardiometabolic risk factors in healthy young adults - the Lifestyle, Biomarkers, and Atherosclerosis study. Scand J Clin Lab Invest. 2019 May;79(3):182-187. doi: 10.1080/00365513.2019.1576219. Epub 2019 Feb 15. PMID 30767573
• Jayasinghe SN, Breier BH, McNaughton SA, Russell AP, Della Gatta PA, Mason S, Stonehouse W, Walsh DCI, Kruger R. Dietary Patterns in New Zealand Women: Evaluating Differences in Body Composition and Metabolic Biomarkers. Nutrients. 2019 Jul 18;11(7):1643. doi: 10.3390/nu11071643. PMID 31323812
• Carter JL, Abdullah N, Bragg F, Murad NAA, Taylor H, Fong CS, Lacey B, Sherliker P, Karpe F, Mustafa N, Lewington S, Jamal R. Body composition and risk factors for cardiovascular disease in global multi-ethnic populations. Int J Obes (Lond). 2023 Sep;47(9):855-864. doi: 10.1038/s41366-023-01339-9. Epub 2023 Jul 17. PMID 37460680

Идентификаторы

NCT: NCT07170904 · DIVERSE (Protocol # KET-1848) · NKB-298/UN2.RST/HKP.05.00/2024

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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