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Published in: International Journal of Diabetes in Developing Countries 2/2019

01-04-2019 | Original Article

Prevalence and determinants of high blood glucose in urban and rural Indonesian adult population

Authors: Susetyowati Susetyowati, Emy Huriyati, BJ. Istiti Kandarina, Harry Freitag Luglio Muhammad, Farah Faza

Published in: International Journal of Diabetes in Developing Countries | Issue 2/2019

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Abstract

Introduction

World Health Organization (WHO) estimates the prevalence of people with diabetes increased from 4.1% (1980) to 8.6% (2014) in the Southeast Asia region. A few studies have examined impaired fasting glucose (IFG) as the main factor precedes diabetes while nutritional status, imbalanced diet, and physical activity as risk factors of IFG. A cross-sectional study was conducted to assess the prevalence and determinants of high blood glucose (IFG and diabetes mellitus) among urban and rural Indonesian adults population. The study included 385 adults 19–64 years of age from urban Umbulharjo sub-district (n = 195) and rural Minggir and Turi sub-districts (n = 190). We collected information on social, food consumption, and physical activity, and measured weight, height, waist circumference, and body fat mass.

Results

The prevalence of high blood glucose in the urban area was higher (55.4%) compared with the prevalence in the rural area (28.4%). Waist circumference and visceral fat (%) were associated with high blood glucose.

Conclusions

Social, food pattern, and physical activity were not associated with high blood glucose. In this study, we reported that male and female adults living in the urban area had a higher risk for high blood glucose compared with those who lived in rural area.
Literature
1.
go back to reference Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380:2095–128.CrossRefPubMed Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380:2095–128.CrossRefPubMed
2.
go back to reference Guariguata L, Whiting DR, Hambleton I, et al. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103:137–49.CrossRefPubMed Guariguata L, Whiting DR, Hambleton I, et al. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103:137–49.CrossRefPubMed
3.
go back to reference World Health Organization (WHO). Global report on diabetes, WHO Library Catalogiung-in-Publication Data. Geneva: WHO Press; 2016. p. 20–31. World Health Organization (WHO). Global report on diabetes, WHO Library Catalogiung-in-Publication Data. Geneva: WHO Press; 2016. p. 20–31.
4.
go back to reference Ministry of Health of Indonesia. Indonesia Basic Health Research. Jakarta: Publishing Institutions and Development Agency; 2013. p. 125–292. Ministry of Health of Indonesia. Indonesia Basic Health Research. Jakarta: Publishing Institutions and Development Agency; 2013. p. 125–292.
5.
go back to reference Watson CS. Prediabetes: screening, diagnosis, and intervention. JNP. 2017;13:126–221. Watson CS. Prediabetes: screening, diagnosis, and intervention. JNP. 2017;13:126–221.
6.
go back to reference Zhang M, Zhu Y, Li P, Chang H, Wang X, Liu W, et al. Associations between dietary patterns and impaired fasting glucose in Chinese men: a cross-sectional study. Nutrients. 2015;7:8072–89.CrossRefPubMedPubMedCentral Zhang M, Zhu Y, Li P, Chang H, Wang X, Liu W, et al. Associations between dietary patterns and impaired fasting glucose in Chinese men: a cross-sectional study. Nutrients. 2015;7:8072–89.CrossRefPubMedPubMedCentral
7.
go back to reference Abtahi F, Naghshzan A, Zibaeenezhad MJ, et al. The relationship between body mass index and pre-diabetics in teachers residing in Shiraz-Iran 2009. Iran Cardiovasc Res J. 2010;4:112–7. Abtahi F, Naghshzan A, Zibaeenezhad MJ, et al. The relationship between body mass index and pre-diabetics in teachers residing in Shiraz-Iran 2009. Iran Cardiovasc Res J. 2010;4:112–7.
8.
go back to reference Alam DS, Talukder SH, Chowdhury AH, et al. Overweight and abdominal obesity as determinants of undiagnosed diabetes and pre-diabetes in Bangladesh. BMC Obes. 2016;3:1–12.CrossRef Alam DS, Talukder SH, Chowdhury AH, et al. Overweight and abdominal obesity as determinants of undiagnosed diabetes and pre-diabetes in Bangladesh. BMC Obes. 2016;3:1–12.CrossRef
9.
go back to reference Jung SH, Ha KH, Kim DJ. Visceral fat mass has stronger associations with diabetes and prediabetes than other anthropometric obesity indicators among Korean adults. Yonsei Med J. 2016;57:674–80.CrossRefPubMedPubMedCentral Jung SH, Ha KH, Kim DJ. Visceral fat mass has stronger associations with diabetes and prediabetes than other anthropometric obesity indicators among Korean adults. Yonsei Med J. 2016;57:674–80.CrossRefPubMedPubMedCentral
10.
go back to reference Biggelaar LJCJ, Eussen SJPM, Sep SJS, et al. Associations of dietary glucose, fructose, and sucrose with B-cell function, insulin sensitivity, and type 2 diabetes in the Maastrict Study. Nutrient. 2017;9:1–15.CrossRef Biggelaar LJCJ, Eussen SJPM, Sep SJS, et al. Associations of dietary glucose, fructose, and sucrose with B-cell function, insulin sensitivity, and type 2 diabetes in the Maastrict Study. Nutrient. 2017;9:1–15.CrossRef
11.
go back to reference Matshipi M, Monyeki KD, Kemper H. The relationship between physical activity and plasma glucose level amongst Ellisras rural young adult males and females: Ellisras longitudinal study. Int J Environ Res Public Health. 2017;14:1–9.CrossRef Matshipi M, Monyeki KD, Kemper H. The relationship between physical activity and plasma glucose level amongst Ellisras rural young adult males and females: Ellisras longitudinal study. Int J Environ Res Public Health. 2017;14:1–9.CrossRef
13.
go back to reference Lwanga SK, Lemeshow S. Sample size determination in health studies : a practical manual. Geneva: World Health Organization; 1991. Lwanga SK, Lemeshow S. Sample size determination in health studies : a practical manual. Geneva: World Health Organization; 1991.
14.
go back to reference Ng N, Hakimi M, Minh HV, et al. Prevalence of physical inactivity in nine rural INDEPTH health and demographic surveillance systems in five Asian countries. Glob Health Action. 2009;2(10):3402. Ng N, Hakimi M, Minh HV, et al. Prevalence of physical inactivity in nine rural INDEPTH health and demographic surveillance systems in five Asian countries. Glob Health Action. 2009;2(10):3402.
15.
go back to reference World Health Organization (WHO) Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157–63.CrossRef World Health Organization (WHO) Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157–63.CrossRef
16.
go back to reference Genuth S, Alberti KG, Bennett P, Buse J, Defronzo R, Kahn R, et al. Expert committee on the diagnosis and classification of diabetes mellitus. Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care. 2003;26:3160–7.CrossRefPubMed Genuth S, Alberti KG, Bennett P, Buse J, Defronzo R, Kahn R, et al. Expert committee on the diagnosis and classification of diabetes mellitus. Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care. 2003;26:3160–7.CrossRefPubMed
17.
go back to reference Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, et al. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol. 2017;5(8):585–96.CrossRefPubMed Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, et al. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol. 2017;5(8):585–96.CrossRefPubMed
18.
go back to reference Deepa M, Grace M, Binukumar B, Pradeepa R, Roopa S, Khan HM, et al. High burden of prediabetes and diabetes in three large cities in South Asia: the center for cardio-metabolic risk reduction in South Asia (CARRS) study. Diabetes Res Clin Pract. 2015;110(2):172–82.CrossRefPubMedPubMedCentral Deepa M, Grace M, Binukumar B, Pradeepa R, Roopa S, Khan HM, et al. High burden of prediabetes and diabetes in three large cities in South Asia: the center for cardio-metabolic risk reduction in South Asia (CARRS) study. Diabetes Res Clin Pract. 2015;110(2):172–82.CrossRefPubMedPubMedCentral
19.
go back to reference Anjana RM, Shanthi-Rani CS, Deepa M, et al. Incidence of diabetes and prediabetes and predictors of progression among Asian Indians: 10-year follow-up of the Chennai urban rural epidemiology study (CURES). Diabetes Care. 2015;38(8):1441–8.CrossRefPubMed Anjana RM, Shanthi-Rani CS, Deepa M, et al. Incidence of diabetes and prediabetes and predictors of progression among Asian Indians: 10-year follow-up of the Chennai urban rural epidemiology study (CURES). Diabetes Care. 2015;38(8):1441–8.CrossRefPubMed
20.
go back to reference Akter S, Rahman MM, Abe SK, Sultana P. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bull World Health Organ. 2014;92(3):204–13.CrossRefPubMedPubMedCentral Akter S, Rahman MM, Abe SK, Sultana P. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bull World Health Organ. 2014;92(3):204–13.CrossRefPubMedPubMedCentral
21.
go back to reference Satman I, Omer B, Tutuncu Y, Kalaca S, Gedik S, Dinccag N, et al. Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol. 2013;28(2):169–80.CrossRefPubMedPubMedCentral Satman I, Omer B, Tutuncu Y, Kalaca S, Gedik S, Dinccag N, et al. Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol. 2013;28(2):169–80.CrossRefPubMedPubMedCentral
22.
go back to reference Hightower JD, Hightower CM, Vázquez BYS, Intaglietta M. Incident prediabetes/diabetes and blood pressure in urban and rural communities in the Democratic Republic of Congo. Vasc Health Risk Manag. 2011;7:483–9.CrossRefPubMedPubMedCentral Hightower JD, Hightower CM, Vázquez BYS, Intaglietta M. Incident prediabetes/diabetes and blood pressure in urban and rural communities in the Democratic Republic of Congo. Vasc Health Risk Manag. 2011;7:483–9.CrossRefPubMedPubMedCentral
23.
go back to reference Jayawardena R, Ranasinghe P, Byrne NM, Soares MJ, Katulanda P, Hills AP. Prevalence and trends of the diabetes epidemic in South Asia: a systematic review and meta-analysis. BMC Public Health. 2012;12:380.CrossRefPubMedPubMedCentral Jayawardena R, Ranasinghe P, Byrne NM, Soares MJ, Katulanda P, Hills AP. Prevalence and trends of the diabetes epidemic in South Asia: a systematic review and meta-analysis. BMC Public Health. 2012;12:380.CrossRefPubMedPubMedCentral
24.
go back to reference Misra A, Khurana L, Isharwal S, Bhardwaj S. South Asian diets and insulin resistance. Br J Nutr. 2009;101:465–73.CrossRefPubMed Misra A, Khurana L, Isharwal S, Bhardwaj S. South Asian diets and insulin resistance. Br J Nutr. 2009;101:465–73.CrossRefPubMed
25.
go back to reference Barnett A, Dixon A, Bellary S, Hanif MW, O'hare JP, Raymond NT, et al. Type 2 diabetes and cardiovascular risk in the UK south Asian community. Diabetologia. 2006;49:2234–46.CrossRefPubMed Barnett A, Dixon A, Bellary S, Hanif MW, O'hare JP, Raymond NT, et al. Type 2 diabetes and cardiovascular risk in the UK south Asian community. Diabetologia. 2006;49:2234–46.CrossRefPubMed
26.
go back to reference Mohan V, Shanthirani CS, Deepa R. Glucose intolerance (diabetes and IGT) in a selected South Indian population with special reference to family history, obesity and lifestyle factors–the Chennai urban population study (CUPS 14). J Assoc Physicians India. 2003;51:771–7.PubMed Mohan V, Shanthirani CS, Deepa R. Glucose intolerance (diabetes and IGT) in a selected South Indian population with special reference to family history, obesity and lifestyle factors–the Chennai urban population study (CUPS 14). J Assoc Physicians India. 2003;51:771–7.PubMed
27.
go back to reference Zhang M, Hu T, Zhang S, Zhou L. Associations of different adipose tissue depots with insulin resistance: a systematic review and meta-analysis of observational studies. Sci Rep. 2015;5:184–95. Zhang M, Hu T, Zhang S, Zhou L. Associations of different adipose tissue depots with insulin resistance: a systematic review and meta-analysis of observational studies. Sci Rep. 2015;5:184–95.
28.
go back to reference Han JM, Levings MK. Immune regulation in obesity-associated adipose inflammation. J Immunol. 2013;191(2):527–32.CrossRefPubMed Han JM, Levings MK. Immune regulation in obesity-associated adipose inflammation. J Immunol. 2013;191(2):527–32.CrossRefPubMed
29.
30.
go back to reference Hamer M, Brunner EJ, Bell J, Batty GD, Shipley M, Akbaraly T, et al. Physical activity patterns over 10 years in relation to body mass index and waist circumference: the Whitehall II cohort study. Obesity (Silver Spring). 2013;21(12):E755–61.CrossRef Hamer M, Brunner EJ, Bell J, Batty GD, Shipley M, Akbaraly T, et al. Physical activity patterns over 10 years in relation to body mass index and waist circumference: the Whitehall II cohort study. Obesity (Silver Spring). 2013;21(12):E755–61.CrossRef
31.
go back to reference Lee S, Kuk JL, Davidson LE, Hudson R, Kilpatrick K, Graham TE, et al. Exercise without weight loss is an effective strategy for obesity reduction in obese individuals with and without Type 2 diabetes. J Appl Physiol. 2005;99(3):1220–5.CrossRefPubMed Lee S, Kuk JL, Davidson LE, Hudson R, Kilpatrick K, Graham TE, et al. Exercise without weight loss is an effective strategy for obesity reduction in obese individuals with and without Type 2 diabetes. J Appl Physiol. 2005;99(3):1220–5.CrossRefPubMed
32.
go back to reference Luglio HF, Sulistyoningrum DC, Apriliana NL, Putri SE, Larasati A, Tsani AFA, et al. The effect of a combination of aerobic and strength training on a weight loss and metabolic profile: development an effective lifestyle based weight loss program. Top Clin Nutr. 2017;32:152–60.CrossRef Luglio HF, Sulistyoningrum DC, Apriliana NL, Putri SE, Larasati A, Tsani AFA, et al. The effect of a combination of aerobic and strength training on a weight loss and metabolic profile: development an effective lifestyle based weight loss program. Top Clin Nutr. 2017;32:152–60.CrossRef
33.
go back to reference Shaikh S, Hanif G, Kashif, Humera M. Frequency of prediabetes and influence of various risk factors on the development of prediabetes: a tertiary care hospital experience. Int J Diabetes Dev Ctries. 2011;31(2):65–9.CrossRef Shaikh S, Hanif G, Kashif, Humera M. Frequency of prediabetes and influence of various risk factors on the development of prediabetes: a tertiary care hospital experience. Int J Diabetes Dev Ctries. 2011;31(2):65–9.CrossRef
34.
go back to reference Nwatu CB, Ofoegbu EN, Unachukwu CN, Young EE, Okafor CI, Okoli CE. Prevalence of prediabetes and associated risk factors in rural Nigerian community. Int J Diabetes Dev Ctries. 2016;36(2):197–203.CrossRef Nwatu CB, Ofoegbu EN, Unachukwu CN, Young EE, Okafor CI, Okoli CE. Prevalence of prediabetes and associated risk factors in rural Nigerian community. Int J Diabetes Dev Ctries. 2016;36(2):197–203.CrossRef
35.
go back to reference Pham NM, Eggleston K. Prevalence and determinants of diabetes and prediabetes among Vietnamese adults. Diabetes Res Clin Pract. 2016;113:116–24.CrossRefPubMed Pham NM, Eggleston K. Prevalence and determinants of diabetes and prediabetes among Vietnamese adults. Diabetes Res Clin Pract. 2016;113:116–24.CrossRefPubMed
36.
go back to reference Orces CH, Lorenzo C. Prevalence of prediabetes and diabetes among older adults in Equador: analysis of the SABE survey. Diabetes Metab Syndr. 2017;xxx:xxx–xxx. Orces CH, Lorenzo C. Prevalence of prediabetes and diabetes among older adults in Equador: analysis of the SABE survey. Diabetes Metab Syndr. 2017;xxx:xxx–xxx.
37.
go back to reference Arie S. Revision of Helsinki declaration aims to prevent exploitation of study participants. BMJ. 2013;347:f6401.CrossRefPubMed Arie S. Revision of Helsinki declaration aims to prevent exploitation of study participants. BMJ. 2013;347:f6401.CrossRefPubMed
Metadata
Title
Prevalence and determinants of high blood glucose in urban and rural Indonesian adult population
Authors
Susetyowati Susetyowati
Emy Huriyati
BJ. Istiti Kandarina
Harry Freitag Luglio Muhammad
Farah Faza
Publication date
01-04-2019
Publisher
Springer India
Published in
International Journal of Diabetes in Developing Countries / Issue 2/2019
Print ISSN: 0973-3930
Electronic ISSN: 1998-3832
DOI
https://doi.org/10.1007/s13410-019-00721-6

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