Good mental state · Strong immunity · Quality sleep

Body shape, sleep, fitness metrics, posture are most valued, yet satisfaction lags. Lack of exercise is the #1 worry (65%).

Ages 18–26 have highest rates of staying up late. Chronic issues appear earlier, and after age 37 metabolism slows, causing weight gain.

Average body fat increased 2% (2015–2021). Proportion of overweight (BMI>24) rose by 6.9%. 40% of males have high BMI, and overweight among post‑90s grew nearly 7%.

Weight‑monitoring population (track fat/muscle instead of just weight)

Even among normal‑fat users, over half regularly track metrics. 83.3% of women with body fat<30% still want a leaner figure. Men mainly worry about fat‑related diseases.

83.5% of weight‑monitoring users use a smart scale ≥2 times/week. Effective methods: adjust diet structure, maintain calorie deficit, boost metabolism — avoid crash diets/drugs.

Carb energy supply dropped from 53.7% to 46.0%; protein increased from 17.2% to 21.3% (Haleaf 2016–2021).

Healthy eaters (≥1 healthy meal/week)

Among advanced consumers (≥4 healthy meals/week), 73.9% spend ≥¥900/month on healthy ingredients. 68.3% check sugar/fat/calories, rising to 82.4% among advanced users.

Women (60.9%) are more health‑conscious but love snacks; men have irregular meal times (skip breakfast, enjoy late‑night bites). Post‑95s suffer irregular routines, post‑85/90s rely on takeout, post‑80s have high sugar intake.

38.6% are active (≥1hr moderate‑intensity/week). Advanced users (≥3hr/week) often train without fixed schedule (17.2%). Micro workouts popular: 10‑min fat‑burn classes rank highest.

After 3 months of consistent exercise, % of people who lowered body fat, average drop 2.8%

57% of post‑95s exercise to relieve stress (often with music). Post‑80s focus on body fat changes and health metrics. First‑tier cities show highest sports engagement (29.5%, TGI=117.9).

48.9% make new friends through sports. 74.8% use apps/watches to log activities; 57.6% track body fat for visible results. Top‑viewed online course: “Big‑weight, no‑jump easy fat burn”.

31% of population, predominantly male (50%), lower‑tier cities (28.6%). Health satisfaction (48.9%) below total avg (60.2%). 38.1% think healthy meals are not filling; limited knowledge of nutrition.

Have a weight loss plan but never started — “too strict” is main reason.

60% have irregular routines / staying up late, yet still believe they maintain regular sleep. Top health method claimed is “regular schedule”, but actual adherence is low.

Main barriers: bland taste, limited variety, not satiating. Hope for spicy/rich flavours and “lazy meal prep” services.

Advanced users return to self‑monitoring: body fat, calories in/out, sports load lead to adaptive diet & exercise plans. Over 50% wish for smart hardware + dynamic adjustments.

Platforms like Haleaf connect smart scales, nutrition diaries and energy expenditure. Among satisfied fat‑loss users, 49.7% adjust their plan based on metric changes, forming virtuous cycles.

Full‑chain digital integration; 47% of venture projects in consumption sector are health‑related. Wearables + health management platforms mainstream, covering detection to full‑cycle intervention.

2015→2021: body fat +2%, overweight population +6.9%. 40% of males BMI high; post‑90s overweight proportion up almost 7%.

73.9% of advanced healthy eaters spend ≥¥900/month. Low‑GI & quality protein dominate, led by tier‑1/2 cities.

will maintain or increase healthy eating commitment

Users exercising ≥2.5hrs/week for 3 months: 81.5% lowered body fat, average reduction 2.8%. Smart tracking boosts adherence.