The Best Resistance Training Program for Strength and Muscle: What the Research Shows

If you've ever wondered whether you should lift heavy with fewer reps or lighter with more sets, you're not alone. Designing an effective resistance training program is one of the most common questions in fitness, and the answer isn't always straightforward. A large-scale systematic review and Bayesian network meta-analysis published in the British Journal of Sports Medicine set out to compare different training prescriptions — including variations in load, sets, and frequency — to identify which combinations tend to produce the best results for muscle strength and muscle size in healthy adults. Here's what the research found and what it might mean for how you train.

What This Study Examined

The central question of this research was: which resistance training variables — specifically load, number of sets, and training frequency — are most effective for improving muscle strength and promoting muscle hypertrophy (growth) in healthy adults?

Rather than looking at a single study or a narrow comparison, researchers wanted to take a broader view. By pooling data from many studies and using a network meta-analysis design, they could compare a wide range of training prescriptions simultaneously. This approach allows researchers to evaluate combinations that may not have been directly compared in any single trial, offering a more complete picture of what training strategies tend to work best.

The study focused specifically on healthy adults, making the findings broadly relevant to the general population interested in structured resistance training.

How the Study Was Conducted

This was a systematic review and Bayesian network meta-analysis, which means researchers did not conduct new experiments themselves. Instead, they systematically searched existing scientific literature, identified eligible studies on resistance training, and then used statistical modeling to analyze and compare results across those studies.

The Bayesian network meta-analysis approach is particularly useful because it can model indirect comparisons between training conditions — for example, comparing a low-load, high-volume protocol to a high-load, low-volume protocol even if those two were never directly tested against each other in a single trial.

The studies included in the analysis examined healthy adult participants across a range of training backgrounds. The training protocols varied across key variables including:

• Load (e.g., percentage of one-repetition maximum, or 1RM)

• Volume (number of sets per session or per week)

• Frequency (how many times per week a muscle group was trained)

Researchers measured outcomes related to both muscular strength and muscle hypertrophy, giving them a dual lens through which to evaluate each training prescription.

Key Findings

The study produced several noteworthy findings regarding how different training variables influence strength and muscle size:

• Higher loads (heavier weights relative to a person's maximum) were associated with greater improvements in muscle strength, suggesting that training closer to one's maximum capacity tends to be more effective for building raw strength.

• Higher volumes (more sets) were associated with greater muscle hypertrophy, supporting the idea that total training volume plays an important role in stimulating muscle growth.

• Moderate to high loads combined with moderate to high volumes appeared to offer a favorable combination for both strength and hypertrophy outcomes.

• Training frequency (how often a muscle group is trained per week) also influenced results, though the interaction between frequency, load, and volume is complex. The findings suggested that distributing volume across sessions may matter, not just the total amount of work done.

• The results suggest that no single "one-size-fits-all" prescription dominated all others across every outcome. Different combinations of variables tended to be more or less effective depending on whether the priority was strength or size.

• Across all conditions analyzed, structured resistance training consistently produced positive adaptations compared to no training, reinforcing the value of any well-organized program.

What This Means for Training

Taken together, these findings suggest that the most effective resistance training program depends on what you're trying to achieve. If building maximal strength is the primary goal, the research points toward training with heavier loads. If increasing muscle size is the priority, higher training volumes appear to be a key driver of results.

For most people, both goals are relevant — and the good news is that moderate-to-high loads combined with sufficient volume seem to address both reasonably well. This aligns with how many experienced coaches already structure programs: using challenging weights for a meaningful number of sets across the week.

It's also worth noting that frequency matters in how volume is distributed. Spreading your weekly sets across multiple sessions rather than cramming them into one or two workouts may support better results, though the optimal arrangement likely varies by individual.

One important takeaway is that consistency and structure matter as much as the specific numbers. The research supports building a program around clear, adjustable variables — load, sets, and frequency — and progressing them over time. This is exactly the kind of framework that personal trainers in Reno use when designing individualized programs for clients, whether the goal is strength, muscle growth, or both.

Limitations of the Study

As with any research, it's important to understand the limitations before drawing firm conclusions:

• Indirect comparisons: Because this was a network meta-analysis, many of the comparisons between training conditions were indirect, meaning no single trial tested every combination head-to-head. Statistical modeling introduces its own assumptions.

• Variation across included studies: The studies pooled in the analysis varied in their design, participant populations, exercise selection, and measurement methods, which can introduce inconsistency in the data.

• Healthy adult population only: The findings apply specifically to healthy adults. Results may differ for older adults, those with health conditions, or highly trained athletes.

• Short study durations: Many resistance training studies run for weeks or a few months, which may not capture how different prescriptions perform over longer training careers.

• Outcome measurement differences: Strength and hypertrophy were measured in different ways across studies, which can affect how comparable the results truly are.

These limitations don't undermine the value of the research, but they do reinforce the importance of applying findings thoughtfully rather than rigidly.

Conclusion

This systematic review and network meta-analysis offers one of the most comprehensive looks to date at how load, volume, and frequency influence strength and muscle growth. The results suggest that heavier loads tend to favor strength development, while greater training volume tends to support hypertrophy — and that combining both in a structured program may be the most practical approach for most people.

Research like this helps inform how coaches design resistance training programs that are grounded in evidence rather than guesswork. If you're looking to build a program tailored to your specific goals, working with a qualified trainer can help you apply these principles in a way that fits your life and training history. You can explore Atlas coaches to find a trainer who works with clients in Reno, both in-person and online.

Related Articles

• What Research Says About Training Volume for Muscle Growth

• How Often Should You Train Each Muscle for Hypertrophy

• Low vs High Weight Training: Muscle and Strength Research

Source

Resistance training prescription for muscle strength and hypertrophy in healthy adults: a systematic review and Bayesian network meta-analysis. British Journal of Sports Medicine. 2023.

Research Source: Resistance training prescription for muscle strength and hypertrophy in healthy adults: a systematic review and Bayesian network meta-analysis