There are five kinds of tired. Most people never find out which one they are. Ada lima jenis penat. Kebanyakan orang tidak tahu yang mana satu mereka.
Most people guess wrong — they fix their diet when it's burnout, or blame stress when it's a sleep disorder. This audit identifies your real driver using the same tools clinicians use, calibrated for Malaysians. Ramai yang tersalah teka — mereka ubah diet sedangkan masalahnya burnout, atau salahkan stres sedangkan ia gangguan tidur. Audit ini mengenal pasti punca sebenar anda — menggunakan kaedah yang dibuktikan kajian saintifik, disesuaikan untuk rakyat Malaysia.
Discover your energy archetype Ketahui arkitaip tenaga anda Get your clinical signals Ketahui isyarat klinikal anda Know exactly what to do next Tahu apa yang perlu dilakukan seterusnya
The next questions come from two validated clinical instruments used by healthcare professionals. Your responses will determine your energy archetype and whether any of your signals warrant a clinical conversation. Soalan-soalan seterusnya diambil daripada dua alat klinikal yang telah disahkan dan digunakan oleh profesional kesihatan. Jawapan anda akan menentukan arkitaip tenaga anda dan sama ada mana-mana isyarat anda memerlukan perbualan klinikal.
Answer based on the past week. Be honest — there are no wrong answers. Jawab berdasarkan pengalaman anda sepanjang minggu lepas.. Jujur saja — tiada jawapan yang salah.
KenapaPenat? is a two-part self-screening tool by Aufthority, designed to help Malaysian adults identify lifestyle and psychological contributors to fatigue and low energy. It is not a diagnostic instrument. Results are indicative and should be interpreted alongside clinical judgment from a qualified healthcare professional.
The tool is intentionally population-agnostic in its lifestyle checklist but draws on instruments validated across diverse populations, including Southeast Asian samples. Where population-specific validation data exists, it is noted below.
34 items across 6 domains: Sleep Quality, Physical Activity, Nutrition, Mood & Stress, Metabolic & Medical, and Red Flags. Items were developed by Aufthority, informed by:
Limitation: the lifestyle checklist is a non-validated custom instrument. Domain scores represent signal counts, not psychometrically derived subscale scores. They should be interpreted directionally, not as clinical measurements.
Measures severity of depression, anxiety, and stress symptoms over the past week. Each subscale (7 items) is scored 0–3; raw subscale scores are multiplied by 2 to align with DASS-42 normative bands. Response labels are abbreviated for mobile display (Not at all / Sometimes / Often / Almost always) — these correspond to the standard DASS-21 response scale (0=Did not apply to me at all, 1=Applied to some degree, 2=Applied to a considerable degree, 3=Applied very much). Item wording has been simplified into plain language for public self-administration clarity; the meaning and scoring of each item is preserved. Items with ambiguous physical symptom descriptions (dry mouth, breathing difficulty, heart palpitations, nervous energy, frustration tolerance) include optional popup explanations accessible via a '?' button. The BM translation was adapted for this tool.
Severity bands (scaled scores): Depression — Normal (<10), Mild (10–13), Moderate (14–20), Severe (21–27), Extremely Severe (≥28). Anxiety — Normal (<8), Mild (8–9), Moderate (10–14), Severe (15–19), Extremely Severe (≥20). Stress — Normal (<15), Mild (15–18), Moderate (19–25), Severe (26–33), Extremely Severe (≥34).
References: Lovibond SH & Lovibond PF (1995). Manual for the Depression Anxiety Stress Scales. Psychology Foundation of Australia. Henry & Crawford (2005). British Journal of Clinical Psychology, 44(2), 227–239.
Limitation: the DASS-21 was normed primarily on Western and Australian populations. A 2020 validation study in Malaysian university students (Ramli et al.) confirmed acceptable psychometric properties (Cronbach's α = 0.87–0.92), but population-specific normative bands for Malaysian adults have not been formally established. Bands used here follow the original Lovibond & Lovibond (1995) DASS-42 norms.
Measures physical and psychological exhaustion across personal life (6 items) and, for currently employed users, work context (7 additional items). Responses are converted to a 0–100 scale (Never=0, Seldom=25, Sometimes=50, Often=75, Always=100 for frequency items; equivalent scale for degree items). The work burnout item on leisure energy is reverse-scored. Subscale score = mean of item scores.
Bands used in this tool: Low (<50), Moderate (50–74), High (≥75). Note: the original CBI authors (Kristensen et al.) do not specify fixed cutoffs, describing burnout as a continuum. The bands above are directional thresholds derived from published research using the instrument.
The client-related burnout subscale (7 items) was excluded as it is designed for human services workers and is not applicable to a general population tool. The CBI-Work subscale is conditionally shown to currently employed users only — it is not applicable to homemakers, retirees, students, or the unemployed.
Reference: Kristensen TS, Borritz M, Villadsen E & Christensen KB (2005). The Copenhagen Burnout Inventory. Work & Stress, 19(3), 192–207.
Limitation: no Malaysia-specific validation data for the CBI has been identified. The instrument has been validated across European and North American populations. Cross-cultural applicability to Malaysian adults is assumed but not formally confirmed.
Earlier versions of this tool used the PHQ-2 (Kroenke et al., 2003) as a standalone 2-item depression screen. PHQ-2 was removed in the current version because its two items (anhedonia, depressed mood) are functionally redundant with the DASS-21 Depression subscale, which measures the same constructs across 7 items and provides clinical severity banding (Normal/Mild/Moderate/Severe/Extremely Severe) rather than a binary flag.
The depression advisory banner is now triggered by DASS-21 Depression subscale score ≥14 (Moderate or above). This threshold is more conservative than the PHQ-2 ≥3 cutoff and provides greater sensitivity for detecting clinically meaningful depressive symptoms. All other instrument scoring remains unchanged.
Limitation: DASS-21 depression severity bands were developed on Western populations (Lovibond & Lovibond, 1995). Malaysian-specific normative data does not currently exist. The ≥14 threshold is applied directionally, not as a diagnostic cutpoint.
The five energy archetypes (The Burned Out, The Wired & Tired, The Morning Wreck, The Depleted, The Invisible Illness) are Aufthority constructs — not clinical diagnoses. They are descriptive profiles designed to communicate result patterns in plain language.
Assignment follows a unified deterministic priority hierarchy that draws on all instrument subscores and Part 1 domain signals as a single combined input:
Limitation: archetype assignment is rule-based, not statistically derived. The thresholds reflect clinical judgment, not population-calibrated cutpoints. Users whose scores sit near a threshold boundary may not be accurately represented by their assigned archetype.
The contextual statistics shown within each archetype profile are drawn from the following sources. They are used to frame individual results against documented Malaysian population patterns — not to establish personal clinical norms.
Limitation: the Abdul Aziz & Ong (2024) sample was recruited via paid social media advertising and is not a random population-representative sample. Results skew younger (53.7% aged 18–29) and female (74.5%). DASS-21 prevalence figures cited are for the Malaysian subsample only and should be interpreted as indicative of working-age adults with digital access, not the Malaysian general population. No published DASS-21 or CBI population norms for Malaysian adults currently exist.
This tool runs entirely in your browser. No answers, scores, or identifiable data are transmitted to or stored on any server. Anonymous usage events (page views, results shown, archetype assigned) are logged via Umami Analytics — a privacy-respecting, cookieless analytics platform — for the purpose of understanding how the tool is used. No personal health data is collected.