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The World Health Organization (WHO) utilizes a core set of behavioral risk factors indicators to monitor and track progress against Noncommunicable Diseases (NCDs) globally. These four key areas are the primary focus of international surveillance systems, such as the WHO STEPwise approach to NCD risk factor surveillance (STEPS).
The "unique" core behavioral risk factors, as defined by the WHO for global NCD monitoring, are:
This indicator focuses on the prevalence of current use of any tobacco product.
Key Measure: Prevalence of current tobacco use (e.g., in adults aged 15+, 18+, or in adolescents). This includes both smoked products (cigarettes, cigars, etc.) and smokeless tobacco.
Goal: A $30\%$ relative reduction in the prevalence of current tobacco use.
This indicator assesses the extent of alcohol consumption that is detrimental to health.
Key Measures:
Total adult per capita consumption of pure alcohol (in litres).
Prevalence of heavy episodic drinking (often defined as having consumed $\geq 60$ grams of pure alcohol on at least one occasion in the past 30 days) among adults.
Goal: At least a $10\%$ relative reduction in the harmful use of alcohol.
This measures the proportion of the population failing to meet minimum recommended physical activity levels.
Key Measures:
Prevalence of insufficient physical activity in adults (typically less than 150 minutes of moderate-intensity activity per week, or equivalent).
Prevalence of insufficiently physically active adolescents (typically less than 60 minutes of moderate to vigorous intensity activity daily).
Goal: A $10\%$ relative reduction in the prevalence of insufficient physical activity.
While "diet" is broad, WHO surveillance often focuses on specific, measurable dietary components that drive NCDs.
Key Measures:
Mean population intake of salt/sodium per day (in grams).
Prevalence of insufficient consumption of fruits and vegetables (often defined as consuming less than five total servings per day).
Goal: A $30\%$ relative reduction in mean population intake of salt/sodium. (Note: Targets for fruit/vegetable consumption and saturated fat are also tracked but salt is the most emphasized metric for global surveillance).
It's important to note that these core indicators are the global standard established by the WHO. Other national systems, such as the Behavioral Risk Factor Surveillance System (BRFSS) in the United States, survey a much broader set of behavioral factors, chronic conditions, and preventive practices, but the four areas listed above form the essential minimum for international comparison and global action plans against NCDs.
Tobacco use is one of the leading preventable causes of death and disease globally, making it a critical focus for public health surveillance. The World Health Organization ($\text{WHO}$) has established Core Behavioral Risk Factors Indicators to help countries monitor and track the prevalence of non-communicable diseases ($\text{NCDs}$) risk factors, including tobacco use.
Accurate surveillance of these indicators is essential for designing, implementing, and evaluating effective tobacco control policies, such as those recommended by the $\text{WHO}$ Framework Convention on Tobacco Control ($\text{WHO FCTC}$) and its implementation package, MPOWER.
The $\text{WHO}$'s surveillance systems, like the $\text{STEPwise Approach to NCD Risk Factor Surveillance ($\text{WHO STEPS}$)}$ and the $\text{Global Adult Tobacco Survey ($\text{GATS}$)}$, utilize a set of core indicators to measure the magnitude of the tobacco epidemic and the impact of control measures. These indicators cover prevalence, product types, cessation, and exposure to secondhand smoke.
The most fundamental indicator is the prevalence of current tobacco use in the population aged $15$ years and over, often disaggregated by sex, age, and type of product (smoked or smokeless).
The table below outlines the core and expanded indicators used by $\text{WHO}$-supported surveys for monitoring tobacco use.
Indicator Category | Core Indicator | Description |
Prevalence | Current Tobacco Use (Smoked and/or Smokeless) | Percentage of the population aged $\ge 15$ years who currently use any tobacco product (daily or non-daily). |
Current Tobacco Smoking | Percentage of the population aged $\ge 15$ years who currently smoke any tobacco product (e.g., cigarettes, pipes, cigars). | |
Current Cigarette Smoking | Percentage of the population aged $\ge 15$ years who currently smoke cigarettes. | |
Current Smokeless Tobacco Use | Percentage of the population aged $\ge 15$ years who currently use smokeless tobacco products (e.g., snuff, chewing tobacco). | |
Exposure & Initiation | Exposure to Secondhand Smoke (SHS) | Percentage of non-smokers exposed to tobacco smoke in specific locations (e.g., home, workplace) in the last $30$ days. |
Age of Initiation | Mean or median age at which people first started smoking cigarettes daily. | |
Cessation | Quit Attempts | Percentage of current smokers who tried to stop smoking in the past $12$ months. |
Advice to Quit | Percentage of current smokers who were advised to quit by a healthcare provider in the past $12$ months. | |
Former Daily Smoking | Percentage of the population who were former daily smokers and are now non-smokers. |
Monitoring tobacco use provides crucial data for several reasons:
Policy Evaluation: It allows governments to assess the effectiveness of interventions like tax increases, smoke-free legislation, and graphic health warnings in reducing tobacco consumption and its associated health burdens.
Targeting Interventions: Data disaggregation helps identify populations or demographic groups with high prevalence rates, allowing for tailored and targeted control programs.
Global Health Benchmarks: Tracking these indicators is necessary to measure progress toward global goals, such as the $\text{SDG}$ target $3.4$ to reduce premature mortality from $\text{NCDs}$ and the $\text{WHO}$ target to reduce current tobacco use prevalence by $30\%$ by $2030$.
Resource Allocation: Accurate prevalence data ensures that public health resources are allocated effectively to areas of greatest need, particularly in low- and middle-income countries where the majority of tobacco-related deaths occur.
The accurate and continuous surveillance of $\text{WHO}$'s Core Behavioral Risk Factors Indicators for tobacco use is indispensable for global public health. By providing consistent, comparable data across countries, these indicators form the evidence base that informs robust anti-tobacco policies. Ultimately, the systematic collection and analysis of this data—from current use prevalence to cessation attempts—is the foundation upon which the global community measures its success in reducing the devastating health and economic toll of the tobacco epidemic and achieving a tobacco-free generation by $2040$ .
The World Health Organization ($\text{WHO}$) identifies the harmful use of alcohol as a major determinant of the global burden of disease and injury, classifying it as one of the four key modifiable behavioral risk factors for Non-communicable Diseases ($\text{NCDs}$). Alcohol misuse is a toxic and psychoactive issue that impacts individuals, families, and society at large, requiring concerted global and national public health responses.
To guide policy and measure progress toward the $\text{SDG}$ target to reduce substance abuse, $\text{WHO}$ utilizes a set of core indicators derived from two main data streams: administrative statistics and population-based surveys like the $\text{WHO}$ $\text{STEPwise Approach to NCD Risk Factor Surveillance}$ ($\text{WHO STEPS}$). These indicators are vital for characterizing consumption levels, dangerous drinking patterns, and health outcomes.
The $\text{WHO}$ framework for monitoring alcohol harm focuses on capturing the entire spectrum of consumption, from overall population exposure to specific high-risk behaviors and eventual health consequences. The core indicators provide a robust toolset for surveillance among adults aged $15$ years and older.
Indicator Category | Core Indicator | Measurement Focus | Rationale |
Exposure/Volume | Total Alcohol Per Capita Consumption ($\text{APC}$) | Liters of pure alcohol consumed per person ($\ge 15$ years) per year (recorded and unrecorded). | Provides the macro-level measure of a population's overall exposure to alcohol, strongly correlated with total harm. |
High-Risk Pattern | Heavy Episodic Drinking ($\text{HED}$) Prevalence | Percentage of the population ($\ge 15$ years) who consumed $60$ grams or more of pure alcohol on at least one occasion in the past $30$ days. | Captures the high-intensity, dangerous pattern of drinking (binge drinking) that leads to acute harms like injuries and violence. |
Abstinence | Prevalence of Lifetime Abstainers | Percentage of the population ($\ge 15$ years) who report having never consumed alcohol. | Essential for calculating average consumption among drinkers and understanding cultural/religious factors influencing drinking norms. |
Consequences | Alcohol Use Disorders ($\text{AUDs}$) Prevalence | $12$-month prevalence of $\text{Harmful Use}$ or $\text{Alcohol Dependence}$ (as per $\text{ICD}-10$) among the adult population. | Measures the burden of chronic, severe addiction and the resulting need for specialized treatment services. |
Policy Impact | Age of Initiation (Expanded) | Mean or median age at which the population started drinking. | Monitors the impact of policies aimed at restricting access to youth and informs prevention campaigns. |
Monitoring these indicators allows national governments and international bodies to move beyond simple mortality figures and understand the dynamics of alcohol use within their populations:
Taxation: $\text{APC}$ data, which is heavily influenced by price and availability, is essential for evaluating the effectiveness of increased excise taxes as a primary alcohol control measure.
Drink-Driving Laws: $\text{HED}$ prevalence, particularly among younger demographics, helps assess the need for and impact of stricter Blood Alcohol Concentration ($\text{BAC}$) limits and Random Breath Testing ($\text{RBT}$) enforcement.
Treatment Access: High $\text{AUDs}$ prevalence signals a significant gap in treatment capacity and guides resource allocation for mental health and addiction services.
The indicators serve as the backbone of the $\text{WHO}$ Global Alcohol Strategy and the $\text{NCD}$ Action Plan, which aims for a $10\%$ relative reduction in the harmful use of alcohol by $2025$. By measuring both the average volume ($\text{APC}$) and the pattern ($\text{HED}$), the system provides a holistic view of the risk profile, helping to predict future rates of cancers, cardiovascular diseases, and liver cirrhosis attributable to alcohol.
In summary, the $\text{WHO}$ indicators for harmful alcohol use transform complex societal behavior into quantifiable, actionable data. They represent the essential instruments for holding countries accountable for implementing the $\text{SAFER}$ (Strengthen, Advance, Facilitate, Enforce, Raise) package of evidence-based, cost-effective interventions aimed at curbing the global alcohol epidemic.
Physical inactivity is one of the four major behavioral risk factors for Non-communicable Diseases ($\text{NCDs}$), alongside tobacco use, harmful use of alcohol, and unhealthy diet. It is a critical public health concern, as insufficient physical activity is linked to increased risk of cardiovascular disease, diabetes, certain cancers, and mental health conditions.
The World Health Organization ($\text{WHO}$) sets global targets to address this risk factor, aiming for a $15\%$ relative reduction in the global prevalence of insufficient physical activity by $2030$. To monitor progress toward this goal, $\text{WHO}$ employs standardized surveillance indicators collected primarily through population-based surveys using the Global Physical Activity Questionnaire ($\text{GPAQ}$) within the $\text{WHO}$ $\text{STEPwise Approach to NCD Risk Factor Surveillance}$ ($\text{WHO STEPS}$).
The core indicators for physical inactivity are based on measuring the proportion of the population that does not meet the minimum physical activity recommendations set by the $\text{WHO}$ Guidelines on Physical Activity and Sedentary Behaviour. These recommendations translate into specific, quantifiable surveillance metrics.
Indicator Category | Core Indicator | WHO Definition (Insufficient Activity) | Age Group |
Adult Prevalence | Prevalence of Insufficient Physical Activity (Age-standardized) | Performing less than $150$ minutes of moderate-intensity activity per week, or less than $75$ minutes of vigorous-intensity activity per week, or an equivalent combination. | Adults ($18+$ years) |
Adolescent Prevalence | Prevalence of Insufficient Physical Activity | Performing less than $60$ minutes of moderate-to-vigorous intensity physical activity daily (on average across the week). | Adolescents ($11$-$17$ years) |
Total Activity | Mean $\text{MET}$-minutes per week (Expanded) | The average total time and intensity of physical activity across the population, calculated using the Metabolic Equivalent of Task ($\text{MET}$) system. | Adults ($18+$ years) |
Sedentary Behavior | Mean time spent sedentary (Emerging) | The average number of hours or minutes per day spent in low-energy expenditure activities (sitting, reclining). | All age groups |
For adults, the primary indicator is binary: either a person meets the threshold of $\ge 150$ minutes of moderate-intensity activity (or $\ge 75$ minutes of vigorous activity) per week, or they are considered "insufficiently physically active." This standard covers activity across three domains: work, transport (walking/cycling), and leisure time/recreation.
For adolescents, the benchmark is higher, emphasizing the developmental need for activity: an average of $60$ minutes per day of moderate-to-vigorous activity is required.
The $\text{MET}$-minute metric is used to combine different intensities and durations of activity into a single, comparable measure. One $\text{MET}$ is the energy expenditure while sitting quietly.
Moderate activity is generally $\approx 4$ $\text{METs}$.
Vigorous activity is generally $\approx 8$ $\text{METs}$.
Thus, $150$ minutes of moderate activity per week is equivalent to approximately $600$ $\text{MET}$-minutes per week ($150$ minutes $\times 4$ $\text{METs}$). This standardized calculation allows $\text{WHO}$ to categorize activity levels (low, moderate, high) and track changes in the overall fitness of a population.
While technically distinct from physical inactivity, sedentary behavior (such as prolonged sitting time) is an increasingly monitored indicator. Even people who meet the physical activity recommendations can still face health risks from excessive sedentary time. $\text{WHO}$ guidelines now recommend limiting sedentary time for all age groups, making its measurement a crucial component of comprehensive surveillance.
Monitoring physical inactivity is critical for global health policy for several reasons:
Global Off-Track Status: Global surveillance data (e.g., from $2022$) indicates that the world is off track from meeting the $2030$ reduction target, with insufficient physical activity levels increasing in many high-income countries.
Health Equity: Disaggregated data often reveals significant disparities, with women, older adults, and people living with disabilities typically showing higher rates of inactivity. Surveillance helps target policies to address these inequities.
Economic Burden: Physical inactivity imposes a substantial economic burden on healthcare systems globally, estimated to be in the tens of billions of $\text{US}$ dollars annually in direct healthcare costs alone. Accurate data supports the case for increased investment in preventive public health interventions.
By continuously tracking these core indicators, the $\text{WHO}$ and its Member States gain the evidence needed to create healthier, more active environments through policies that promote active transport, accessible recreational spaces, and physical education.
Unhealthy diet, also referred to as dietary risks, stands as one of the four major modifiable behavioral risk factors—alongside tobacco use, physical inactivity, and the harmful use of alcohol—that contribute to the development of Noncommunicable Diseases (NCDs). NCDs, such as cardiovascular diseases, cancers, diabetes, and chronic respiratory diseases, are responsible for a significant proportion of global deaths.
A healthy diet is crucial for protecting against malnutrition and NCDs, as it helps maintain a healthy body weight and provides essential nutrients. Conversely, a diet high in salt, free sugars, and unhealthy fats, and low in protective foods like fruits, vegetables, legumes, and whole grains, significantly elevates the risk for various chronic conditions. Globally, dietary risks are among the leading risk factors for death and disability.
The World Health Organization (WHO) has established a Global Monitoring Framework for NCDs, which includes specific indicators to track population exposure to risk factors like an unhealthy diet. These indicators focus on key components of the diet that pose a risk to health, as well as one related biological risk factor that is a direct outcome of poor diet and physical inactivity: overweight/obesity.
The table below outlines the core behavioral risk indicators related to an unhealthy diet, primarily drawing from the WHO's Global Monitoring Framework and the STEPS surveillance approach.
Core Dietary Risk Indicator (Behavioral) | Definition/Measurement | Associated Global Target |
Low Fruit and Vegetable Consumption | Age-standardized prevalence of persons (aged 18+ years) consuming less than five total servings (400 grams) of fruit and vegetables per day. | N/A (Part of the overall framework, promoting consumption). |
High Salt/Sodium Intake | Age-standardized mean population intake of salt (sodium chloride) per day in grams in persons aged 18+ years. | Target: A 30% relative reduction in mean population intake of salt/sodium by 2025. |
High Saturated Fat Intake | Age-standardized mean proportion of total energy intake from saturated fatty acids in persons aged 18+ years. (WHO recommends less than 10% of total energy intake). | N/A (Part of the overall framework). |
Overweight and Obesity (Biological Risk Factor) | Age-standardized prevalence of overweight (BMI $\ge 25\ kg/m^2$) and obesity (BMI $\ge 30\ kg/m^2$) in persons aged 18+ years. | Target: Halt the rise in diabetes and obesity by 2025. |
Low Fruit and Vegetable Intake: Adequate consumption (at least 400g daily) is linked to a reduced risk of cardiovascular diseases, stomach cancer, and colorectal cancer. Monitoring this helps track population dietary quality. 🍎🥦
High Salt/Sodium Intake: Excessive salt intake (over 5g per day, as recommended by WHO) is a major contributor to high blood pressure, which increases the risk of heart disease and stroke. The global target reflects the urgency of reducing this intake.
High Saturated Fat Intake: High intake of saturated fats (and trans fats) increases the risk of cardiovascular diseases by raising blood cholesterol levels. Monitoring this guides policies on food reformulation and labeling.
Overweight and Obesity: While not a purely behavioral factor, it is often a direct consequence of an unhealthy diet combined with insufficient physical activity. It is a major metabolic risk factor for NCDs like type 2 diabetes and cardiovascular disease.
Improving dietary habits requires a comprehensive, multi-sectoral approach, moving beyond individual responsibility to include government policies that shape the food environment. Key policy interventions recommended by the WHO include:
Taxation: Implementing taxes on sugar-sweetened beverages (SSBs) to discourage consumption.
Regulation: Introducing mandatory limits on the levels of salt, saturated fats, and industrially produced trans fats in processed foods.
Marketing Restrictions: Implementing policies to protect children from the harmful impact of marketing of foods high in saturated fats, trans fats, free sugars, or salt.
Public Food Procurement: Establishing policies in schools, hospitals, and other public settings to ensure the availability of healthy food options.
Labeling: Implementing front-of-pack labeling schemes to help consumers easily identify healthy food choices.
This comprehensive approach—monitoring key dietary risk indicators, setting national targets, and implementing effective, population-level policies—is fundamental to reversing the global trend of noncommunicable diseases. By addressing the behavioral risk of an unhealthy diet through strategic public health actions, countries can significantly reduce premature mortality, alleviate the burden on healthcare systems, and promote healthier populations worldwide, achieving the ambitious goals set out in the WHO's Global NCD Action Plan.
Implementing effective surveillance and policy frameworks for Non-Communicable Disease (NCD) risk factors is crucial for global public health. The World Health Organization (WHO) provides standardized tools, notably the STEPwise approach to NCD risk factor surveillance (STEPS), to help countries collect, analyze, and use data on key behavioral and biological risks.
While numerous countries utilize the STEPS methodology, a few stand out for their advanced implementation, integration of data into policy, and sustained commitment to reducing NCD risk factors.
The leading examples of NCD risk factor implementation often fall into two categories: countries with robust, long-standing surveillance and high-income countries demonstrating policy success in reducing NCD premature mortality.
Advanced STEPS Surveillance: Countries like Sri Lanka, Jordan, and India (particularly through state-level surveys and the innovative mSTEPS digital platform) have been noted for repeated, large-scale, and methodologically rigorous STEPS surveys. This commitment to repeated data collection allows for trend analysis, which is essential for evaluating national health programs.
Policy Success in NCD Mortality Reduction: High-income countries in the WHO European Region, such as Denmark, Estonia, Norway, and Sweden, have succeeded in significantly reducing premature mortality from NCDs, including cardiovascular diseases. Their success is attributed to strong, evidence-based, multisectoral national strategies that target core behavioral risk factors.
Country/Region | Core Implementation Strategy | WHO Behavioral Risk Factors Targeted | Noteworthy Impact/Innovation |
Sri Lanka | Repeated, comprehensive national STEPS surveys (e.g., 2021) and related research. | Unhealthy Diet (Salt), Tobacco Use, Physical Inactivity. | Sustained Surveillance: Regular STEPS surveys provide data for continuous monitoring of national health indicators and policy evaluation. |
India (State Level: Haryana, Punjab) | Innovative use of the WHO STEPS methodology via the mSTEPS digital platform. | Tobacco Use, Harmful Alcohol Use, Unhealthy Diet, Physical Inactivity. | Digital Innovation: Pioneered mobile-based, paperless NCD risk factor data collection, increasing efficiency and data quality in large-scale surveys. |
Nepal | Regular, nationwide cross-sectional STEPS surveys (e.g., 2013, 2019) used to inform national action plans. | Tobacco Use, Unhealthy Diet (low fruit/veg), Raised BP, Abnormal Lipids. | Policy Linkage: Data from STEPS surveys are explicitly used to evaluate previous national NCD action plans and set baselines for new ones. |
Denmark, Norway, Sweden, Estonia | Robust, multisectoral National NCD Strategies focused on prevention and control. | Tobacco Use, Harmful Alcohol Use, Unhealthy Diet, Physical Inactivity. | Proven Outcome: Succeeded in significantly reducing premature mortality from NCDs, demonstrating the long-term effectiveness of comprehensive, well-funded policies. |
The global effort to combat NCDs focuses on four major diseases (cardiovascular disease, cancer, chronic respiratory disease, and diabetes) and the four main modifiable behavioral risk factors that underpin them. Countries implementing the WHO framework prioritize surveillance and policy actions related to these factors:
Tobacco Use: Measures include monitoring the prevalence of smoking, implementing tobacco taxation, and enforcing smoke-free public places.
Harmful Use of Alcohol: Actions involve tracking consumption levels and implementing policies like excise taxes or restricting access and marketing.
Unhealthy Diet: This includes monitoring salt/sodium intake, fruit and vegetable consumption, and implementing policies such as mandatory front-of-pack nutrition labeling and taxation on sugar-sweetened beverages.
Physical Inactivity: Surveillance tracks the proportion of the population that is insufficiently physically active, guiding strategies to promote physical activity through urban planning and health education.
By consistently monitoring these factors and translating surveillance data into targeted policies, the leading countries provide models for mitigating the global burden of Non-Communicable Diseases.
Monitoring the major risk factors for noncommunicable diseases (NCDs) is a global priority. The World Health Organization (WHO) relies on standardized, nationally representative surveys to gather the data needed to track these Core Behavioral Risk Factor Indicators. The primary tool recommended and utilized for this purpose is the WHO STEPwise Approach to Surveillance (STEPS), which provides a comprehensive and comparable data framework across countries.
The table below simplifies the relationship between the key WHO Core Behavioral Risk Factor Indicators, their measurement, and the primary source data used for global reporting.
WHO Core Behavioral Risk Factor Indicator | Measurement Goal | Primary Source Data / Survey Tool | Key Data Collection Method |
Tobacco Use | Prevalence of daily or occasional tobacco use (smoking and smokeless). | WHO STEPS Survey & Global Adult Tobacco Survey (GATS) | Questionnaires on current smoking status, frequency, and type of product (Step 1). |
Harmful Use of Alcohol | Prevalence of heavy episodic drinking and total per capita consumption. | WHO STEPS Survey & Global Information System on Alcohol and Health (GISAH) | Questionnaires on drinking frequency, amount consumed, and patterns of binge drinking (Step 1). |
Physical Inactivity | Percentage of population not meeting recommended levels of physical activity. | WHO STEPS Survey using the Global Physical Activity Questionnaire (GPAQ) | Questionnaires measuring activity in three domains: work, transport, and leisure (Step 1). |
Unhealthy Diet (Low F&V Intake) | Percentage of population consuming fewer than 5 servings of fruits and vegetables daily. | WHO STEPS Survey & National Health/Nutrition Surveys | Questionnaires on the frequency and quantity of fruit and vegetable consumption (Step 1). |
Overweight and Obesity (High BMI) | Prevalence of overweight ($\text{BMI} \ge 25$) and obesity ($\text{BMI} \ge 30$). | WHO STEPS Survey & National Health Examination Surveys | Direct physical measurement of height and weight to calculate Body Mass Index (BMI) (Step 2). |
Raised Blood Pressure (Hypertension) | Prevalence of measured systolic and/or diastolic blood pressure above thresholds. | WHO STEPS Survey & National Health Examination Surveys | Direct physical measurement of blood pressure by trained personnel (Step 2). |
Raised Blood Glucose (Diabetes) | Prevalence of a diagnosed condition or elevated blood glucose levels. | WHO STEPS Survey & National Health Examination Surveys | Biochemical measurement using blood samples (e.g., fasting blood glucose or HbA1c) (Step 3). |
The WHO STEPS Survey is the cornerstone of international behavioral risk factor surveillance because it is a standardized protocol covering multiple risk factors in one survey. It operates in three hierarchical "steps" to capture different types of data:
Step 1: Behavioral Risk Factors (Self-Reported Questionnaires)
Step 2: Physical Measurements (Directly Measured by Staff)
Step 3: Biochemical Measurements (Laboratory Analysis of Blood/Urine Samples)
This modular structure allows countries to implement surveillance based on their resources and priorities, while ensuring the data collected remains globally comparable.
The WHO's strategy for monitoring NCDs is built upon the standardized and repeatable collection of data, primarily through the STEPS framework. This comprehensive approach—collecting information on self-reported behaviors (Step 1), physical measurements (Step 2), and biochemical markers (Step 3)—allows countries to generate comparable, high-quality data.
This comprehensive approach—monitoring key dietary risk indicators, setting national targets, and implementing effective, population-level policies—is fundamental to reversing the global trend of noncommunicable diseases. By addressing the behavioral risk of an unhealthy diet through strategic public health actions, countries can significantly reduce premature mortality, alleviate the burden on healthcare systems, and promote healthier populations worldwide, achieving the ambitious goals set out in the WHO's Global NCD Action Plan.