Status gizi remaja merupakan hasil interaksi kompleks antara determinan langsung di level individu dan determinan tidak langsung di level rumah tangga. Data SKI 2023 mencatat prevalensi gizi lebih pada remaja usia 16–18 tahun di DKI Jakarta mencapai hampir 20%, sementara gizi kurang masih ditemukan sebesar 6,3%. Penelitian ini bertujuan menganalisis keterkaitan antara proporsi konsumsi makronutrien, aktivitas fisik, uang saku, jumlah anggota keluarga, dan frekuensi konsumsi mi instan dengan status gizi siswa SMAN 34 Jakarta, serta mengidentifikasi variabel dengan kecenderungan keterkaitan paling kuat. Desain cross-sectional dengan pendekatan analisis data sekunder digunakan, mengintegrasikan tiga dataset primer tahun 2025 pada responden siswa SMAN 34 Jakarta. Status gizi dinilai menggunakan IMT/U berdasarkan WHO AnthroPlus 2007 dan Permenkes No. 2 Tahun 2020, dan dianalisis secara bivariat menggunakan uji Chi-Square. Sebagian besar responden berstatus gizi baik (79,7%), dengan 15,2% tergolong gizi lebih. Seluruh variabel independen tidak menunjukkan keterkaitan bermakna secara statistik dengan status gizi (p > 0,05). Aktivitas fisik menunjukkan kecenderungan keterkaitan paling kuat dengan p-value paling mendekati signifikan (p = 0,076) dan kesenjangan deskriptif terbesar dengan proporsi gizi lebih pada kelompok aktivitas fisik rendah (22,7%) hampir empat kali lipat dibandingkan kelompok cukup (5,7%). Aktivitas fisik direkomendasikan sebagai prioritas utama intervensi gizi di SMAN 34 Jakarta.

Adolescent nutritional status results from complex interactions between immediate determinants at the individual level and underlying determinants at the household level. The 2023 Indonesian Health Survey (SKI) reported a prevalence of overweight and obesity among adolescents aged 16–18 years in DKI Jakarta reaching nearly 20%, while undernutrition remained at 6.3%. This study aimed to analyze the associations between macronutrient consumption proportions, physical activity, pocket money, family size, and instant noodle consumption frequency with the nutritional status of students at SMAN 34 Jakarta, and to identify the variable with the strongest association tendency. A cross-sectional study using secondary data analysis was conducted, integrating three primary datasets collected in 2025 from 79 respondents. Nutritional status was assessed using BMI-for-age based on WHO AnthroPlus 2007 and Minister of Health Regulation No. 2 of 2020, and bivariate analysis was performed using the Chi-Square test. The majority of respondents had normal nutritional status (79.7%), with 15.2% classified as overweight. None of the independent variables demonstrated a statistically significant association with nutritional status (p > 0.05). Physical activity showed the strongest association tendency with the closest p-value to significance (p = 0.076) and the largest descriptive gap with the proportion of overweight students in the low physical activity group (22.7%) was nearly four times higher than in the sufficient group (5.7%). Physical activity is recommended as the primary priority for nutritional interventions at SMAN 34 Jakarta.