Pattern of fiber intake in different socio-demographic settings among elderly in Jakarta, Indonesia and its associated factors

Main Article Content

Nanda Fauziyana
Erfi Prafiantini
Novi Silvia Hardiany

Abstract

Introduction Despite many health benefits from dietary fiber, inadequate intake is prevalent among elderly population.  This study aims to obtain the pattern of fiber intake in different socio-demographic backgrounds among elderly in Jakarta area, Indonesia and its’ associated factors.   
Methods: A cross-sectional study was conducted among elderly aged > 60 years in 5 community health center across Jakarta province.  A total of 126 elderly were interviewed using two non-consecutive 24-h dietary recall methods to obtain dietary intake data.  Socio-demographic backgrounds on age, sex, education, income, marital status, and energy intake were assessed using structured questionnaire.  Mann-Whitney or independent t-test was performed to measure the different of fiber intake in each socio-demographic variable. Linear regression test was performed to analyze the variables that associated with fiber intake.
Results: Majority of 98.4% of elderly have total fiber intake <80% of Indonesian Recommended Dietary Allowance (RDA) with average intake of 6.6 g/d.  Lower fiber intake was significantly found in females, widowed/separated, have lower education and income, and have inadequate energy intake.  Factors associated with total fiber intake were income (adjusted β=0.20, p=0.01) and energy intake adequacy (adjusted β=0.65 p=0.00).
Conclusion: Fiber intake among elderly in urban area is inadequate and the pattern was worse in the low socio-demographic settings.  By this finding, it is important to give priority to the socially disadvantages group when formulating nutrition intervention policy in this population setting.

Downloads

Download data is not yet available.

Article Details

Section
Articles
Author Biographies

Nanda Fauziyana, Faculty of Medicine, Universitas Indonesia-Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia

Department of Nutrition

Erfi Prafiantini, Faculty of Medicine, Universitas Indonesia-Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia

Department of Nutrition

Novi Silvia Hardiany, Faculty of Medicine, Universitas Indonesia-Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia

Department of Biochemistry & Molecular Biology,

References

Kementerian Kesehatan RI. Situasi lansia di Indonesia tahun 2017: Gambar struktur umur penduduk Indonesia tahun 2017. Pusat Data dan Informasi. 2017.

Badan Pusat Statistik. Angka harapan hidup menurut provinsi, 1996-2013. 2018.

Badan Pusat Statistik. Ketimpangan pengeluaran penduduk Jakarta di atas ketimpangan Nasional sejak 2014. 2019.

Tavares RE, Jesus MCP de, Machado DR, Braga VAS, Tocantins FR, Merighi MAB. Healthy aging from the perspective of the elderly: an integrative review. Rev Bras Geriatr e Gerontol. 2017;20(6):878–89.

Koga T, Oshita Y. Ageing and health. Vol. 375, The Lancet. 2010. p. 25–6.

Fujii H, Iwase M, Ohkuma T, Ogata-Kaizu S, Ide H, Kikuchi Y, et al. Impact of dietary fiber intake on glycemic control, cardiovascular risk factors and chronic kidney disease in Japanese patients with type 2 diabetes mellitus: The Fukuoka Diabetes Registry. Nutr J. 2013;12(1):1–8.

Kim CS, Byeon S, Shin DM. Sources of dietary fiber are differently associated with prevalence of depression. Nutrients. 2020;12(9):1–14.

Alfawaz H, Khan N, Alhuthayli H, Wani K, Aljumah MA, Khattak MNK, et al. Awareness and knowledge regarding the consumption of dietary fiber and its relation to self-reported health status in an adult arab population: A cross-sectional study. Int J Environ Res Public Health. 2020;17(12):1–18.

Marlett J, Cheung T. Database and quick methods of assessing typical dietary fiber intakes. Vol. 1151, Journal of the American Dietetic Association. 1997. p. 1139–48.

Dhingra D, Michael M, Rajput H. Dietary fibre in foods : a review. J Food Sci Technol. 2012;49(June):255–66.

Kementerian Kesehatan RI. Peraturan Menteri Kesehatan Republik Indonesia nomor 28 tahun 2019 tentang angka kecukupan gizi yang dianjurkan untuk masyarakat Indonesia. Kementerian Kesehatan RI 2019.

Setiati S, Harimurti K, Dewiasty E, Istanti R, Mupangati YM, Ngestiningsih D, et al. Profile of food and nutrient intake among Indonesian elderly population and factors associated with energy intake: a multi-centre study. Acta Med Indones. 2013;45(4):265–74.

Arjuna T, Soenen S, Hasnawati RA, Lange K, Chapman I, Luscombe-Marsh ND. A cross-sectional study of nutrient intake and health status among older adults in Yogyakarta Indonesia. Nutrients. 2017;9(11).

Donini LM, Savina C, Cannella C. Nutrition in the elderly: role of fiber. Arch Gerontol Geriatr. 2009;49 Suppl 1(December):61–9.

Dubowitz T, Heron M, Bird CE, Lurie N, Finch BK, Basurto-Dávila R, et al. Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. Am J Clin Nutr. 2008;87(6):1883–91.

Storey M, Anderson P. Income and race/ethnicity influence dietary fiber intake and vegetable consumption. Nutr Res. 2014;34(10):844–50.

BPJS Kesehatan. Executive summary: program management report and financial report on the JKN program 2014. 2015.

da Silva GM, Durante ÉB, de Assumpção D, de Azevedo Barros MB, Corona LP. High prevalence of inadequate dietary fiber consumption and associated factors in older adults: A population-based study. Rev Bras Epidemiol. 2019;22:1–13.

Monsivais P, Drewnowski A. Lower-energy-density diets are associated with higher monetary costs per kilocalorie and are consumed by women of higher socioeconomic status. J Am Diet Assoc. 2009;109(5):814–22.

Pemerintah Provinsi DKI Jakarta. Peraturan Gubernur Daerah Khusus Ibukota Jakarta tentang Upah Minimum Sektoral Provinsi Tahun 2020. 2020.

Chor JS, Leung J, Griffiths S, Leung P. Assessment of malnutrition in community Chinese elderly: A hidden problem in a developed society. ISRN Geriatr. 2013;2013:1–9.

Nasreddine L, Chamieh MC, Ayoub J, Hwalla N, Sibai AM, Naja F. Sex disparities in dietary intake across the lifespan: The case of Lebanon. Nutr J. 2020;19(1):1–18.

Bennett E, Peters SAE, Woodward M. Sex differences in macronutrient intake and adherence to dietary recommendations: Findings from the UK Biobank. BMJ Open. 2018;8(4):1–7.

Angeles-Agdeppa I, Sun Y, Denney L, Tanda K V., Octavio RAD, Carriquiry A, et al. Food sources, energy and nutrient intakes of adults: 2013 Philippines National Nutrition Survey. Nutr J. 2019;18(1):1–13.

Abassi MM, El Ati J, Sassi S, Ben Gharbia H, Delpeuch F, Traissac P. Gender inequalities in diet quality and their socioeconomic patterning in a nutrition transition context in North Africa. Rev Epidemiol Sante Publique. 2018;66:S351.

McKenzie BL, Santos JA, Geldsetzer P, Davies J, Manne-Goehler J, Gurung MS, et al. Evaluation of sex differences in dietary behaviours and their relationship with cardiovascular risk factors: A cross-sectional study of nationally representative surveys in seven low- And middle-income countries. Nutr J. 2020;19(1):1–15.

Amarya S, Singh K, Sabharwal M. Changes during aging and their association with malnutrition. J Clin Gerontol Geriatr. 2015;6(3):78–84.

Senia MC, Dharmasena S. Factors affecting the intake of dietary fiber in the United States diet. In: Proceedings of the Southern Agricultural Economics Association’s Annual Meeting. 2016. p. 1–24.

Shahar S, Vanoh D, Mat Ludin AF, Singh DKA, Hamid TA. Factors associated with poor socioeconomic status among Malaysian older adults: An analysis according to urban and rural settings. BMC Public Health. 2019;19(Suppl 4):1–12.

Senia MC, Dharmasena S. Ascertaining the role of socio-economic-demographic and government food policy related factors on the per capita intake of dietary fiber derived from consumption of various foods in the United States. In: The 2016 Agricultural & Applied Economics Association Annual Meeting, Boston, Massachusetts. 2016. p. 1–20.

Barkoukis H. Nutrition recommendations in elderly and aging. Med Clin North Am. 2016;100(6):1237–50.

Conway JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: An observational validation study. J Am Diet Assoc. 2004 Apr 1;104(4):595–603.

Hu Z, Lin X, Kaminga AC, Xu H. Impact of the COVID-19 epidemic on lifestyle behaviors and their association with subjective well-being among the general population in Mainland China: Cross-sectional study. J Med Internet Res. 2020;22(8):1–10.