Health Tool

Cermin
Diri.

Find out your metabolic and cardiovascular health risk — calibrated for Malaysian bodies. Semak risiko kesihatan metabolik dan kardiovaskular anda — ikut formula orang Malaysia!

📊 WHO · NHMS Malaysia · INTERHEART · FRS
Step 1 of 5 — About YouLangkah 1 / 5 — Tentang Anda
yrs
Step 2 of 5 — Body MeasurementsLangkah 2 / 5 — Ukuran Badan
kg
cm
cm
cm
Step 3 of 5 — Medical HistoryLangkah 3 / 5 — Sejarah Perubatan
Step 4 of 5 — LifestyleLangkah 4 / 5 — Gaya Hidup
Step 5 of 5 — Almost done!Langkah 5 / 5 — Hampir siap!
mmHg
Where to find this:Di mana nak cari: Check your last clinic slip, blood pressure machine reading, or home BP monitor. It's the top number (e.g. 125/80 — use 125). Semak slip klinik terakhir anda atau bacaan mesin tekanan darah. Ia nombor atas (contoh: 125/80 — masukkan 125).

Your Health ProfileProfil Kesihatan Anda

Overall risk index — lower is betterIndeks risiko keseluruhan — lebih rendah lebih baik
⚠️
BMI
Waist
WHtR
Diabetes risk scoreSkor risiko diabetes
LowRendah Slightly elevatedAgak tinggi ModerateSederhana HighTinggi Very highSangat tinggi
Your measurements — tap any card to exploreUkuran anda — ketik kad untuk maklumat lanjut
📍 BMI vs Waist — Goal plannerBMI vs Pinggang — Perancang sasaran
Healthy zoneZon sihat
Elevated riskRisiko meningkat
High riskRisiko tinggi
Your positionKedudukan anda
Your goalSasaran anda
MY population

What if I improve?Bagaimana jika saya bertambah baik?

Drag to simulate your goal — watch the green dot move on the chart above.Seret untuk simulasi sasaran anda — lihat titik hijau bergerak pada carta di atas.

Goal WeightSasaran Berat
kg
Goal WaistSasaran Pinggang
cm
📍 Your position among MalaysiansKedudukan anda dalam kalangan rakyat Malaysia
SexJantina
Age groupKumpulan umur
HealthySihat
One risk factorSatu faktor risiko
Both elevatedKedua-dua tinggi
You
Population cloud seeded from NHMS 2019 & 2023 published mean BMI and waist distributions by sex and age group (IKU/MOH Malaysia). Individual points are statistically simulated — not real survey respondents.Data populasi berdasarkan taburan min BMI dan pinggang NHMS 2019 & 2023 mengikut jantina dan kumpulan umur (IKU/KKM Malaysia). Titik-titik adalah simulasi statistik — bukan responden sebenar.
INTERHEART Self-Assessment ScoreSkor Penilaian Kendiri
/ 48
0 — LowRendah ModerateSederhana — 10 16 — HighTinggi 48
Your contributing risk factorsFaktor risiko anda
10-Year Cardiovascular Risk (Framingham)Risiko Kardiovaskular 10 Tahun (Framingham)
INTERHEART score is a screening tool, not a diagnosis. Based on Lee et al. 2023 (PMID: 37242265) and McGorrian et al. 2011. Framingham Risk Score (BMI version) derived from D'Agostino et al. 2008. Skor INTERHEART adalah alat saringan, bukan diagnosis. Berdasarkan Lee et al. 2023 (PMID: 37242265) dan McGorrian et al. 2011. Skor Risiko Framingham (versi BMI) berdasarkan D'Agostino et al. 2008.
For informational purposes only. Not a substitute for professional medical advice.
Please consult a qualified healthcare provider for diagnosis and treatment.
Untuk tujuan maklumat sahaja. Bukan pengganti nasihat perubatan profesional.
Sila berunding dengan pengamal kesihatan yang berkelayakan untuk diagnosis dan rawatan.
WHOWorld Health Organization — Asia-Pacific Guidelines (2004)

Asia-Pacific-specific BMI and waist circumference cutoffs, recognising that Asians develop cardiometabolic risk at lower body mass than Western populations.

WHO Expert Consultation report →
NHMSNational Health & Morbidity Survey 2019 & 2023 — Malaysia

Malaysia's national health survey by the Institute for Public Health (IKU/MOH). Used as seed data for population scatter charts.

NHMS 2019 → NHMS 2023 →
INTERHEARTNL-IHRS — McGorrian et al. 2011 · Lee et al. 2023

The Non-Laboratory INTERHEART Risk Score was derived from the landmark INTERHEART case-control study and validated across seven global regions including Southeast Asia (PURE study). Lee et al. 2023 applied and validated the tool specifically in a Malaysian middle-aged community (n=602, PMID: 37242265). Score range 0–48; tiers: Low <10, Moderate 10–15, High ≥16.

McGorrian et al. 2011 (Eur Heart J) → Lee et al. 2023 (Nutrients) →
FRSFramingham Risk Score (BMI version) — D'Agostino et al. 2008

The BMI-based Framingham General CVD Risk Score requires no cholesterol values, making it viable as a non-laboratory tool. Validated for use in Malaysian populations (Selvarajah et al. 2014, Int J Cardiol; Chia et al. 2015, BMJ Open). Outputs 10-year absolute CVD event risk percentage. Requires systolic blood pressure to calculate.

D'Agostino et al. 2008 (Circulation) →
FINDRISCFinnish Diabetes Risk Score — Asian Calibration

FINDRISC validated by Lindström & Tuomilehto (2003), used here with Asian waist circumference thresholds consistent with WHO Asia-Pacific and JADE programme recommendations.

Lindström & Tuomilehto 2003 →
AlgorithmINTERHEART Score Components (0–48 points total)
FactorConditionPoints
Age & SexMale ≥55 or Female ≥65+2
SmokingCurrent smoker+2
Ex-smoker+1
HypertensionDiagnosed or on medication+2
DiabetesDiagnosed or high glucose+2
Family historyHeart attack in parent/sibling before age 60+2
WHRMale ≥0.90 or Female ≥0.85+4
Psychosocial stressOften stressed / anxious / low mood+4
Sometimes+2
Diet — unhealthyFried/fatty/salty food daily+2
Diet — protectiveNo veg/fruit daily+2
Physical activityLow (<3×/week)+2
Moderate (3–4×/week)+1
ScoreRisk tier
0 – 9Low
10 – 15Moderate
≥ 16High
AlgorithmFRS BMI-based 10-year CVD Risk

Point totals are summed from sex-specific tables for age, BMI, systolic BP (treated/untreated), smoking, and diabetes status. The sum is converted to a 10-year risk percentage via the D'Agostino 2008 lookup table. Risk tiers: Low <10%, Intermediate 10–19%, High ≥20%.

LimitationsImportant Caveats
  • All tools are screening aids, not diagnostic instruments.
  • INTERHEART was originally derived from a MI case-control study. The NL-IHRS version has been validated in Southeast Asia but regional recalibration improves accuracy further.
  • FRS was developed in a predominantly White American cohort. It has been validated in Malaysia but tends to overestimate risk in some Asian subgroups.
  • FINDRISC was developed for Finnish populations; Asian waist thresholds are applied here.
  • Population scatter uses simulated data seeded from NHMS means — not real survey respondents.
A
Auf Ali @theaufthority · I create evidence-based health tools for Malaysians