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Review

Diabetes in Asia and the Pacific: Implications for the Global Epidemic

  1. Arun Nanditha1,
  2. Ronald C.W. Ma2,3,4,
  3. Ambady Ramachandran1,
  4. Chamukuttan Snehalatha1,
  5. Juliana C.N. Chan2,3,4,
  6. Kee Seng Chia5,
  7. Jonathan E. Shaw6 and
  8. Paul Z. Zimmet6⇑
  1. 1India Diabetes Research Foundation, Chennai, India
  2. 2Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
  3. 3Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong
  4. 4Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
  5. 5Saw Swee Hock School of Public Health, National University of Singapore, Singapore
  6. 6Baker IDI Heart and Diabetes Institute, Melbourne, Australia
  1. Corresponding author: Paul Z. Zimmet, paul.zimmet{at}bakeridi.edu.au.
  1. A.N. and R.C.W.M. contributed equally to this work.

Diabetes Care 2016 Mar; 39(3): 472-485. https://doi.org/10.2337/dc15-1536
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    Figure 1

    Map shows the Western Pacific and South Asian regions.

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  • Table 1

    Plausible etiological factors responsible for the increased propensity to develop T2DM

    Genetic and acquired factors
     Genetic factors (familial aggregations)
     Ethnic susceptibility
     Adverse gene–environment interaction (i.e., epigenetics, metabolic maladaptations)
     Lower threshold for diabetogenic risk factors (i.e., age, BMI, central adiposity)
     Low muscle mass
     Increased insulin resistance
     Decreased β-cell compensation   disproportionate to insulin insensitivity
     Presence of metabolic obesity
     Increased inflammatory response
    Environmental risk factors
     Urbanization and modernization
     Globalization and industrialization
     Unhealthy behavioral habits (sedentary  lifestyle, consumption of energy-  dense food, smoking, tobacco chewing,   and excessive alcohol consumption)
     Sleep disturbances
     Psychological stress
    Societal factors
     Cultural and religious taboos
     Psychosocial factors
     Lack of universal health coverage
  • Table 2

    Prevalence of diabetes in the WPR, with temporal changes shown wherever available*

    CountryYear (Ref)Sample size (n)CharacteristicsDiagnostic criteriaDiabetes (%)
    American Samoa2004 (14)2,072WHO STEPS; stratified cluster sampling; age: 25–64 yearsCapillary FPG ≥6.1 mmol/L47.3
    Australia2011–2012 (20)†NRAge: ≥18 yearsHbA1c ≥6.5% (≥47.5 mmol/mol)5.4
    Brunei Darussalam2003 (21)†NRPopulation-based data from integrated health screening system from medical case records; age: NRCapillary FPG ≥6.1 mmol/L or known diabetes5.4
    2010 (21)†NRAge: ≥20 yearsCapillary FPG ≥6.1 mmol/L or known diabetes12.5
    Cambodia2004 (16)2,246Cross-sectional; two communities: rural and semiurban; age: ≥25 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/LRural: 5.0 Suburban: 11.0
    2011 (24)†5,123WHO STEPS; multistage cluster method (180 clusters); age: 25–65 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/LTotal: 2.9 (95% CI 2.3–3.4)
    Rural: 2.3 (95% CI 1.7–2.9)
    Urban: 5.6 (95% CI 4.0–7.2)
    China2001 (25)†15,838Nationally representative stratified sampling; age: 35–74 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L5.5
    2010 (15)†98,658Complex, multistage, probability sampling design; age: ≥18 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L11.6
    China, Hong Kong SAR1990 (22)1,513Participants from a public utility company and a regional hospital; age: ≥30 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L4.5
    2007–2010 (23)3,376Hong Kong professional driver community project; age: 18–70 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L8.1
    Cook Islands1980 (14)1,102Population-based study; age: ≥20 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L6.8
    2003 (14)2,036WHO STEPS; stratified samples; age: NRCapillary FPG ≥6.1 mmol/L or on medication23.6
    Federated States of Micronesia1994 (14)2,188Population-based study in Kosrae population; age: 20–85 yearsFPG ≥7.0 mmol/L12.0
    2002 (14)1,638WHO STEPS; population-based cross-sectional study; age: 25–64 yearsFPG ≥7.0 mmol/L32.1
    Fiji2002 (14)2,277Population-based multistage sampling in 30 clusters; age: 15–64 yearsCapillary FPG ≥6.1 mmol/L or on medication; HbA1c ≥6.5% (≥47.5 mmol/mol) or known to have diabetes16.0
    2009 (14)1,353WHO STEPS; population-based study; age: ≥40 years44.8
    French Polynesia2010 (14)3,469WHO STEPS; population-based multistage sampling; age: 18–64 yearsCapillary FPG ≥6.1 mmol/L or on medication7.3
    Indonesia1997 (18)941Population-based study of government and retired individuals; age: NRFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L5.4
    2009 (19)24,417Samples from 13 urban provinces; age: ≥15 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L5.7
    Japan1997 (17)NationalAge: ≥20 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/LM:F 9.9:7.1
    2007 (17)NationalAge: ≥20 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/LM:F 15.3:7.3
    Kiribati1983 (14)2,938Population-based survey; age: ≥20 years; South Tarawa and the four outer islands; age: 15–64 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/LUrban: M:F 9.6:8.7
    Rural: M:F 3.0:3.3
    2004–2006 (14)1,146WHO STEPS; population- based multistage sampling; age: 18–64 yearsFPG ≥7.0 mmol/L28.1
    Malaysia2006 (26)34,539Malaysian National Health Morbidity Survey (NHMS) III; age: ≥18 yearsFPG ≥7.1 mmol/L or known to have diabetes11.6
    2013 (26)4,341Two-stage stratified sampling design; age: ≥18 yearsHbA1c ≥6.5%, FPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L22.9
    Marshall Islands2002 (14)994WHO STEPS; population-based; age: 15–64 yearsFPG ≥7.0 mmol/L19.6
    Mongolia2005 (27)3,411WHO STEPS; population-based; age: 15–64 yearsCapillary FBG ≥6.1 mmol/L or on medication8.2
    2009 (27)5,368WHO STEPS; population-based; age: 15–64 yearsCapillary FBG ≥6.1 mmol/L or on medication6.5
    Nauru1987 (1)1,201Population-based data; age: ≥20 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L24.0
    2004 (14)883Systematic random sample design; age: 15–64 yearsFPG ≥7.0 mmol/L or on medication16.2 (age 15–24 years)
    22.7 (age 25–64 years)
    New Zealand2002–2003 (28)12,929Stratified cluster sampling; age: ≥15 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L8.1
    2008–2009 (28)4,721Age: ≥15 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L7.0
    Niue1980 (1)1,128Population-based survey; age: ≥20 yearsFPG ≥7.8 mmol/L7.2
    2012 (14)863WHO STEPS; population-based; age: ≥15 yearsCapillary FBG ≥6.1 mmol/L or on medication38.4
    Papua New Guinea1991 (14)497Population-based cluster; age: ≥25 yearsRandom blood glucose ≥8 mmol/L or known diabetesUrban: 30.3
    Rural: Wanigela: 11.7
    Kalo: 1.6
    2008 (14)2,944WHO STEPS; population-based survey; age: 15–64 yearsCapillary FBG ≥6.1 mmol/L or on medication14.4
    Republic of Korea2005 (29)4,628KNHANES; age: ≥30 yearsFPG ≥7.0 mmol/L or/and history of diabetes9.1
    2007–2009 (29)13,512Age: ≥30 yearsFPG ≥7.0 mmol/L9.9
    2011–2012 (30)†14,330National Health Survey; age: ≥30 yearsFPG ≥7.0 mmol/L10.1
    Samoa1991 (14)†1,776Population-based cluster sampling; age: 25–74 yearsFPG ≥7.8 mmol/L or/and 2-h PG ≥11.1 mmol/LApia: M:F 9.5:13.4
    Poutasi: M:F 5.3: 5.6
    Tuasivi: M:F 7.0:7.5
    2002 (14)2,817WHO STEPS; random sample population-based study; age: 15–64 yearsCapillary FBG ≥6.1 mmol/L or venous FPG ≥7.0 mmol/L or on medication22.1
    Singapore2004 (31)†NRNational survey; age: 18–69 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L8.2
    2010 (31)†NRNational survey; age: 18–69 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L11.3
    Solomon Islands1986 (14)243Population-based study; age ≥18 years WHO STEPS; population-based; age: 25–64 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/L2.09
    2006 (14)950Capillary FBG ≥6.1 mmol/L or on medication13.5
    Thailand1991 (32)†NationalAge: ≥30 yearsFPG ≥7.0 mmol/L2.3
    2004 (32)†NationalAge: ≥15 yearsFPG ≥7.0 mmol/L6.8
    2009 (33)†NationalAge: ≥20 yearsFPG ≥7.0 mmol/L7.5
    Tokelau1976 (14)346Population-based study; age: 35–74 yearsOGTT (100 g): 1-h PG ≥13.9 mmol/LM:F 7.0:14.3
    2005 (14)573WHO STEPS; population-based national survey; age: 15–64 yearsCapillary FBG ≥6.1 mmol/L or on medication33.6
    Tonga1991 (14)†1,024National sample; age: ≥15 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/L15.1
    2004 (14)†453WHO STEPS; population-based national survey; age: 15–64 yearsCapillary FBG ≥6.1 mmol/L or on medication16.4
    Vanuatu1991 (14)1,378An occupation-based (civil servants) urban sample and area-based semirural and rural samples; age: NRFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/LVila: M:F 2.1:12.1
    Nguna: M:F 2.1:1.1
    Tanna: M:F 1.0:0.9
    2011 (14)†4,422WHO STEPS; population-based national survey; survey included all six provinces; age: 25–64 yearsCapillary FBG ≥6.1 mmol/L or on medication21.2
    Vietnam2001 (34)2,932Cross-sectional; age ≥15 yearsFPG ≥7.8 mmol/L or/and 2-h PG ≥11.1 mmol/L3.8
    FPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L
    2011 (12)2,710Cross-sectional; age: 40–64 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/L3.7
    Wallis and Futuna1980 (14)†549Population-based study; age: ≥20 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L2.7
    2010 (14)†487WHO STEPS; population-based national survey; age: 15–64 yearsFPG ≥7.0 mmol/L or on medication17.5
    • F, female; FBG, fasting blood glucose; HbA1c, glycated hemoglobin A1c; M, male; NR, not reported; PG, plasma glucose; SAR, Special Administrative Region.

    • ↵*It needs to be recognized that only broad comparisons can be made from these data owing to significant differences in age-groups, survey methodologies, diagnostic criteria, etc.

    • ↵†National studies.

  • Table 3

    Prevalence of diabetes in South Asia, with temporal changes shown wherever available

    CountryYear (Ref)Sample size (n)CharacteristicsDiagnostic criteriaDiabetes (%)
    Afghanistan2013 (42)1,169Age: >40 yearsCapillary FBG ≥6.1 mmol/L or on medication13.3
    Bangladesh2005 (5)6,312Cross-sectional; age: ≥20 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/LUrban: 8.3
    Rural: 2.3
    2011 (43)*8,835Population-based national survey; age: ≥35 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L9.7
    Bhutan2008 (44)2,474Stratified two-stage sampling; age: 25–74 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/L8.2
    India2000 (45)11,216Random sampling, six metropolitan cities; age: ≥20 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/L12.1
    2008–10 (46)13,055Stratified multistage sampling (188 urban, 175 rural) in three states and one union territory; age not reportedFasting CBG ≥7 mmol/L or/and 2-h CBG ≥12.2 mmol/L or on medicationTamil Nadu: 10.4
    Maharashtra: 8.4
    Jharkhand: 5.3
    Chandigarh: 13.6
    Maldives2004 (47)*1,556Cross-sectional; national; age: 25–64 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/L4.5
    Mauritius1987 (48)5,083Independent population-based survey; age: 20–74 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L13.0
    2009 (48)6,371Age: 20–74 yearsFPG ≥7.8 mmol/L or 2-h PG ≥11.1 mmol/L21.3
    Nepal2011 (49)14,425Population from Eastern Nepal; age: >20–100 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L6.3
    Pakistan2000 (50)1,042Age: 30–64 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L6.5
    2006 (50)5,433Age: 30–64 yearsFPG ≥7.0 mmol/L or/and 2-h PG ≥11.1 mmol/LUrban: 10.6
    Rural: 7.7
    Sri Lanka2001 (5)6,047Cross-sectional; stratified random samples from four provinces; age: ≥30 yearsFPG ≥7.0 mmol/L or on medication13.8
    2006 (51)*4,532Cross-sectional; national representative; age: ≥20 yearsFPG ≥7.0 mmol/L or 2-h PG ≥11.1 mmol/L10.3
    • CBG, capillary blood glucose; FBG, fasting blood glucose; PG, plasma glucose.

    • ↵*National study.

  • Table 4

    Randomized controlled prevention studies in T2DM in Asian populations using lifestyle intervention

    Study population characteristicsMean durationParticipants by treatment groupCumulative incidence of diabetesRelative risk reduction
    Study (year) (Ref)(years)(n)(%)(%)
    Da Qing IGT and Diabetes Study (1997) (102)Chinese:Total n = 577Control: 67.7Diet: 31.0
    BMI: 26.06Control: 133Diet: 43.8Exercise: 46.0
    Age: 45.0Diet: 130Exercise: 41.1Diet + exercise: 42.0
    Cluster randomized by clinicExercise: 141Diet + exercise: 46.0
    Diet + exercise: 126
    Da Qing Diabetes Prevention Study (2008) (103)ControlControl: 138Control: 93.043.0
    BMI: 24.420Intervention: 439Intervention: 80.0
    Intervention
    BMI: 24.5
    Da Qing Diabetes Prevention Study (2014) (103)ControlTotal n = 568 (by interview from medical records)Control: 89.945.0
    BMI: 25.723Control: 138Intervention: 72.6
    InterventionIntervention: 430CVD mortality41.0
    BMI: 26.2Control: 19.6
    Intervention: 11.9
    All-cause mortality29.0
    Control: 38.4
    Intervention: 28.0
    IDPP-1 (2006) (104)BMI: 25.82.6 (median)Total n = 531Control: 55.0LSM: 28.5
    Age: 45.9Control: 136LSM: 39.3Metformin: 26.4
    Persistent IGT, individual randomizationLSM: 133Metformin: 40.5LSM + metformin: 28.2
    Metformin: 133LSM + metformin: 39.5
    LSM + metformin: 129
    Indian SMS study (2013) (108)BMI: 25.82Control: 266Control: 27.4
    Age: 45.9Intervention: 271Intervention: 18.536.0
    Persistent IGT, men
    Japanese prevention study (2005) (105)Japanese men:4Control: 102Control: 9.367.4
    BMI: 23.5Intervention: 356Intervention: 3.0
    Age: 51.5
    IGT, individual randomization
    Zensharen Study for Prevention of Lifestyle Diseases (2011) (106)Japanese men:3Control: 330Control: 16.644.0
    BMI: 27.0Intervention: 311Intervention: 12.2
    Age: 49.0
    IGT, individual randomization
    • Age given as mean (years) and BMI given as mean (kg/m2). CVD, cardiovascular disease.

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Diabetes in Asia and the Pacific: Implications for the Global Epidemic
Arun Nanditha, Ronald C.W. Ma, Ambady Ramachandran, Chamukuttan Snehalatha, Juliana C.N. Chan, Kee Seng Chia, Jonathan E. Shaw, Paul Z. Zimmet
Diabetes Care Mar 2016, 39 (3) 472-485; DOI: 10.2337/dc15-1536

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Diabetes in Asia and the Pacific: Implications for the Global Epidemic
Arun Nanditha, Ronald C.W. Ma, Ambady Ramachandran, Chamukuttan Snehalatha, Juliana C.N. Chan, Kee Seng Chia, Jonathan E. Shaw, Paul Z. Zimmet
Diabetes Care Mar 2016, 39 (3) 472-485; DOI: 10.2337/dc15-1536
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