andyreagan.com

Training

Run training

I started running more in college, for fun and so I could finish triathlons. It could be fair to say I started "training" in 2011. Completing an ironman was on my bucket list, so I signed up for the Richmond Marathon in the fall with a big crew from the VT Tri team. In my first attempt, I got a running watch and had picked a random goal time of Boston qualifying, and based my times on the plan in Advanced Marathoning. I mmediately ran myself into a hole in just a couple weeks: calling for a ride with totally cracked legs 8 miles from Skaneateles. Relaxing the goal, I just did some miles, and spent on some amazing training runs that summer with Chrissie and friends.

From that very first marathon, my training bible has been Advanced Marathoning. I have the 2nd edition. Despite the initial failure, the plans have full margins of dates as I've trained for marathons over the years with success.

Beyond the plans in that book, run training may be simple: mileage is king. I found real "success" almost two years of running every day, the kind of consistency that made a difference. While I did train and do some long hard runs as prescribed by Trevor, I was totally suprised when I ran sub 1:30 in the syracuse half marathon. After a failure and thinking I didn't have Boston speed, this was Boston speed! With that confidence, I signed up for Erie in the fall and onto my first BQ. More marathons and even some wins were yet in my future of running.

Cycling training

Backlinks: VBT

My cycling training started in 2009 with a wired powertap hub and Training and Racing with a Power Meter. I never managed to follow the plans to a T, but having a power meter and understanding the data was helpul.

With a somewhat extended detour to running, since 2022, I've found real structure in my workouts. In 2025 for cycling coaching/training, I use Zwift and TrainerRoad for the workouts.

Activity and mortality

Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults

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This study used accelerometer data from 4,840 US adults to examine how different activity levels affect mortality risk, finding that replacing sedentary time with light or moderate-to-vigorous physical activity was associated with significantly lower mortality rates (18% and 42% respectively) among less active adults, suggesting that even light activity and reduced sitting time can provide important health benefits, particularly for inactive individuals.

Physical fitness as a predictor of mortality among healthy, middle-aged Norwegian men

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In a 16-year follow-up study of 1,960 healthy Norwegian men aged 40-59, researchers found that higher physical fitness (measured through bicycle ergometer testing) was independently associated with lower mortality risk, with the fittest quartile showing 46% lower all-cause mortality and 59% lower cardiovascular mortality compared to the least fit group, even after adjusting for conventional risk factors.

Midlife Cardiorespiratory Fitness and the Long-Term Risk of Mortality: 46 Years of Follow-Up

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In a 46-year follow-up study of 5,107 middle-aged employed Danish men, higher cardiorespiratory fitness (measured by bicycle ergometer testing) was strongly associated with increased longevity - those in the highest fitness category lived 4.9 years longer than those in the lowest category, and each unit increase in VO2max added 45 days to life expectancy, with similar benefits seen for cardiovascular mortality even after accounting for potential reverse causation.

Longitudinal algorithms to estimate cardiorespiratory fitness: associations with nonfatal cardiovascular disease and disease-specific mortality

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In a study of 43,356 adults followed for 14.5 years, researchers developed algorithms to estimate cardiorespiratory fitness without exercise testing using routine health metrics (age, BMI, heart rate, etc.). The estimated fitness scores showed similar predictive ability to measured fitness for mortality and cardiovascular events, with each 1-MET increase associated with 10-20% risk reduction, though measured fitness had slightly better discriminative ability.

Physical fitness and all-cause mortality. A prospective study of healthy men and women

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We studied physical fitness and risk of all-cause and cause-specific mortality in 10,224 men and 3120 women who were given a preventive medical examination. Physical fitness was measured by a maximal treadmill exercise test. Average follow-up was slightly more than 8 years, for a total of 110,482 person-years of observation. There were 240 deaths in men and 43 deaths in women. Age-adjusted all-cause mortality rates declined across physical fitness quintiles from 64.0 per 10,000 person-years in the least-fit men to 18.6 per 10,000 person-years in the most-fit men (slope, -4.5). Corresponding values for women were 39.5 per 10,000 person-years to 8.5 per 10,000 person-years (slope, -5.5). These trends remained after statistical adjustment for age, smoking habit, cholesterol level, systolic blood pressure, fasting blood glucose level, parental history of coronary heart disease, and follow-up interval. Lower mortality rates in higher fitness categories also were seen for cardiovascular disease and cancer of combined sites. Attributable risk estimates for all-cause mortality indicated that low physical fitness was an important risk factor in both men and women. Higher levels of physical fitness appear to delay all-cause mortality primarily due to lowered rates of cardiovascular disease and cancer.

Sitting Time, Physical Activity, and Risk of Mortality in Adults

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In a study of 149,077 participants followed for 8.9 years, prolonged sitting (>8 hours/day) was associated with higher mortality risk, but only among those who were physically inactive (<150 minutes/week of moderate-to-vigorous activity); meeting physical activity guidelines appeared to eliminate the mortality risks of prolonged sitting, and replacing sitting time with vigorous activity showed particularly strong benefits among high sitters (64% lower cardiovascular mortality risk per hour replaced).

Activity Level as a Mortality Predictor in a Population Sample after Typical Underwriting Exclusions and Laboratory Scoring

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Dataset: NHANES data (1999-2014) analyzing physical activity's impact on mortality in healthy individuals using survey responses and pedometer data (2003-2006 subset), controlling for laboratory-based risk scores.

Results: Higher activity levels showed lower mortality risk (HR 0.91 per MET*hour), while sedentary time increased mortality risk (HR 1.19), with these effects being independent of laboratory risk scores.

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project

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Dataset: Study of 34,212 patients who underwent treadmill stress testing at Henry Ford Health Systems (1991-2009), comparing 7 machine learning models for predicting 10-year mortality using cardiorespiratory fitness data.

Results: Random Forest achieved best performance (AUC=0.97) when using SMOTE sampling, while SVM showed lowest performance; all models improved with SMOTE handling of imbalanced data.

Physical activity for health: What kind? How much? How intense? On top of what?

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Physical activity improves health. Different types of activity promote different types of physiologic changes and different health outcomes. A curvilinear reduction in risk occurs for a variety of diseases and conditions across volume of activity, with the steepest gradient at the lowest end of the activity scale. Some activity is better than none, and more is better than some. Even light-intensity activity appears to provide benefit and is preferable to sitting still. When increasing physical activity toward a desired level, small and well-spaced increments will reduce the incidence of adverse events and improve adherence. Prior research on the relationship between activity and health has focused on the value of moderate to vigorous activity on top of an indefinite and shifting baseline. Given emerging evidence that light activities have health benefits and with advances in tools for measuring activities of all intensities, it may be time to shift to zero activity as the conceptual starting point for study.

Steps per Day and All-Cause Mortality in Middle-aged Adults in the Coronary Artery Risk Development in Young Adults Study

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Dataset: Cohort study of 2,110 adults followed for 10.8 years examining step volume and intensity's relationship with mortality among middle-aged Black and White adults.

Results: ≥7,000 steps/day associated with 50-70% lower mortality risk vs. <7,000 steps/day; step intensity showed no mortality association.

How does activity affect longevity?

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Summary article around understanding the effects of physical activity on mortality and morbidity risk. Part 2 of Swiss Re's Big Six Lifestyle Factors.

Last modified: May 21, 2025