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The following is reproduced from: https://github.com/geekan/HowToLiveLonger/blob/main/README.md


1. Terminology

  • ACM: All-Cause Mortality / All-Cause Mortality

2. Goals

  • live longer

3. Key Results

  • Reduce all-cause mortality by 66.67%
  • Increase\~20 years life expectancy
  • maintain dopamine in the central axis

4. Analysis

  • Main reference: There are relatively many academic literature on ACM, which can be used as the main reference
  • The relationship between increased life and ACM is nonlinear: Obviously, the relationship between increased life and ACM is a nonlinear function. Here we assume DeltaLifeSpan=(1/(1+DeltaACM)-1)*10 (DeltaACM is the change value of ACM; the formula welcomes optimization)
  • Variables cannot be simply superimposed: Obviously, the independent and identical distribution assumptions are not met between the variables, and the actual impact between the variables is not clear
  • There are contradictory views: all the evidences have literature/study correspondence, but note that: some literatures have significantly contradictory views (such as the contradiction of carbohydrate intake ratio); Sleeping increases all-cause mortality by 43%)
  • Research only expresses correlation: all literature shows more correlation than causation, read with consideration of whether the literature fully proves causation - such as a literature showing that people with an average of >=7000 steps per day have significantly lower all-cause deaths Rate. However, people with fewer steps may include more long-term patients. If this data is not reasonably excluded, the literature survey will be distorted.

5. Action

  • enter

    • Solids: Eat white meat (-11%\~-3% ACM), mainly vegetables and fruits (-26%\~-17% ACM), eat more spicy food (-23% ACM), eat more nuts (-27%\~ -4% ACM), eat less egg yolk (otherwise +7% ACM/0.5 pcs/day) (controversial) , moderate carbohydrates, eat more vegetable protein (-10% ACM), eat less ultra-processed food (-62% \~-18%)
    • Liquids: drink coffee (-22%\~-12% ACM), drink milk (-17%\~-10% ACM), drink tea (-15%\~-8% ACM), drink less or no sweets flavored beverages (otherwise, a glass of +7% ACM per day, + dopamine), abstain from drinking alcohol or within 100g per week (pure alcohol (g) = drinking amount (ml) × alcohol concentration (%) × alcohol density 0.8g/ml) ( Otherwise +\~50% ACM, no upper limit)
    • Gas: no smoking (otherwise +~50% ACM, -12\~-11 years lifespan)
    • Light: Sunbathing (-~40% ACM)
    • Drugs: Metformin (+3 years for diabetics compared to normal), Multivitamins (-8% cancer risk), Spermidine (-60%\~-30% ACM), Glucosamine (-39% ACM)
  • output

    • Exercise: 45-minute swing 3 times per week (-47% ACM)
    • Everyday: Brush your teeth (-25% ACM)
    • Sleep: 7 hours of sleep per day has the lowest all-cause mortality; and the best time between 22-24 o'clock, early bed +43% ACM, late bed +15% ACM (controversial)
  • context

    • Weight: Lose weight (-54% ACM)

6. Evidence

6.1. Input

6.1.1. Solids
6.1.2. Liquids
6.1.3. Gas
  • smoking

    • Even low-intensity smoking increases the risk of death!

      • The study found: Among 42 416 men and 86 735 women (aged 35-89 years with no previous disease), 18 985 men (45%) and 18 072 women (21%) were current smokers, Among them, 33% of male smokers and 39% of female smokers did not smoke every day. 8866 men (21%) and 53 912 women (62%) never smoked. During follow-up, the hazard ratios for all-cause mortality compared with never smoking were 1.17 (95% confidence interval 1.10-1.25) and 1.54 (1.42-1.67) for <10 cigarettes per day or ≥10 cigarettes per day, respectively. Hazard ratios were similar regardless of age or gender. The diseases most closely associated with daily smoking are respiratory cancers, chronic obstructive pulmonary disease, and gastrointestinal and vascular diseases. People who had quit smoking at the time of recruitment had lower mortality rates than current daily smokers.
      • Smokers lose 11-12 years of life on average
    • What makes smoking so addicting? Is Moderate Smoking Still Harmful?
6.1.4. Lighting
  • bask in the sun

    • [The relationship between sun exposure and mortality, how to bask in the sun scientifically and safely?
      ]( https://zhuanlan.zhihu.com/p/76301306 )

      • A 26-year Danish study found that more sun exposure significantly increased life expectancy, and even patients with skin cancer caused by excessive sun exposure lived an average of 6 years longer than the average person.
6.1.5. Drugs

6.2. Output

6.2.1. Swing movement
6.2.2. Walking
6.2.3. Brushing your teeth
6.2.4. Bathing
  • Regular bathing reduces risk of cardiovascular disease

    • Compared with taking a bath one to two times a week or not taking a bath at all, taking a hot bath every day was associated with a 28% lower overall risk of cardiovascular disease, a 26% lower overall risk of stroke, and a 46% lower risk of brain hemorrhage. The frequency of bathing was not associated with an increased risk of sudden cardiac death.
6.2.5. Housework (older men)
  • Housework Reduces All-Cause and Cancer Mortality in Chinese Men

    • Weekly heavy housework reduces average death rate by 29% for men after age 72
    • Heavy household chores: vacuuming, mopping floors, mopping windows, washing cars, moving furniture, moving gas tanks, etc.
    • Light housework: dusting, washing dishes, hand washing clothes, ironing, drying clothes, cooking, shopping for groceries, etc.
6.2.6. Sleep

6.3. Context

6.3.1. Emotions
  • Pessimism is associated with higher all-cause and cardiovascular mortality, but optimism is not protective
  • Pessimism is associated with greater all-cause and cardiovascular mortality, but optimism is not protective

    • In 1993-1995, the Life Orientation Test (LOT) was included in a study of healthy twins in Australians over the age of 50, with items of optimism and pessimism. After an average of 20 years, participants were matched with death information from Australia's National Mortality Index. Of the 2,978 participants with many available scores, 1,068 died. Survival analyses tested associations between various optimism and pessimism scores and mortality from any cause, cancer, cardiovascular disease, or other known causes. Core on the age-adjusted pessimism scale was associated with all-cause and cardiovascular mortality (hazard ratio per 1 standard deviation unit, 95% confidence interval and p-values 1.134, 1.065–1.207, 8.85 × 10–5 and 1.196, 1.045–1.368, 0.0093), but did not die from cancer. The correlation between optimistic and pessimistic scores was weak (age-adjusted rank correlation coefficient = − 0.176), but not significantly associated with overall or cause-specific mortality. Reverse causality (diseases that cause pessimism) is not possible, because in that case both cardiovascular disease and cancer cause pessimism.
6.3.2. Rich and poor
  • JAMA sub-issue: Can the gap between the rich and the poor really affect life expectancy? It might be true!

    • The study used data first collected from 1994-1996 and used a survival model to analyze the association between net worth and longevity. RESULTS: A total of 5414 participants were included, with an average age of 46.7 years, including 2766 women. Higher net worth is associated with a lower risk of death. Among siblings and twins in particular (n = 2490), a similar association was observed between higher net worth and lower mortality, suggesting that siblings or twins with more wealth were less wealthy than those with less wealth Siblings/twins live longer.
6.3.3. Weight
6.3.4. Covid-19

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