New American Heart Association Guidelines Break Down What to Eat—and What to Skip


New Heart Association guidelines recommend avoiding red meat and saturated fat, found in butter.Credit: Bill Davies SA / Getty Images
New Heart Association guidelines recommend avoiding red meat and saturated fat, found in butter.
Credit: Bill Davies SA / Getty Images
  • The American Heart Association has released new dietary guidelines to support heart health.
  • The guidelines recommend a diet rich in fruits and vegetables that emphasizes plant-based proteins.
  • At the same time, the organization advises limiting saturated fat, red meat, and alcohol.

The American Heart Association (AHA) on Tuesday released new dietary guidelines to support heart health, emphasizing plant proteins over meat and limiting full-fat dairy, ultra-processed foods, and saturated fat. The recommendations provide a framework on how to eat to reduce the risk of heart disease, which has been the leading cause of death in the U.S. for more than a century. Here's what you need to know.

What to Eat (and Avoid) to Support Your Heart

About every five years, the AHA updates its nutrition guidance based on a complex review of new research, explained Alice H. Lichtenstein, Dsc, FAHA, volunteer chair of the AHA's writing committee for the new guidelines, and senior scientist and leader of the Diet & Chronic Disease Prevention Directive at the Human Nutrition Research Center on Aging at Tufts University.

The authors of the new guidelines summarized their findings in nine key points:

  1. Adjust energy intake and expenditure to achieve and maintain a healthy body weight. Simply put, try to balance how much you eat with how active you are each day.
  2. Eat plenty of vegetables and fruits, and choose a wide variety. Fruits and vegetables contain essential nutrients for your heart. Eating them in their whole form, rather than juice, also provides much-needed fiber.
  3. Choose foods made mostly with whole grains rather than refined grains. Some common whole grains include whole wheat bread, oats, brown rice, and quinoa.
  4. Choose healthy sources of protein. The guidelines recommend eating more plant-based sources, such as beans, lentils, nuts, and seeds, rather than meat.
  5. Choose sources of unsaturated fats in place of sources of saturated fat. For instance, cook with plant oils—such as olive oil and canola oil—instead of animal fats, like butter or beef tallow.
  6. Choose minimally processed foods instead of ultra-processed foods. Ultra-processed foods are highly manufactured and often contain added sugar, high sodium, preservatives, and additives.
  7. Minimize intake of added sugars in beverages and foods. Diets high in added sugar have been consistently linked with poor heart health and higher cardiovascular disease risk.
  8. Choose foods low in sodium and prepare foods with minimal or no salt. More than 70% of the sodium Americans eat comes from packaged foods or restaurant meals.
  9. If alcohol is not consumed, do not start; if alcohol is consumed, limit intake. In short, the less alcohol consumed, the better.
Credit: American Heart Association
Credit: American Heart Association

What's Changed

The nine main points are largely the same as the last recommendations from 2021. But the new body of evidence has led to a few important changes. "While it wasn't a major overhaul, the slight shifts aligned with the current understanding of healthy eating guidelines and the majority of clinical research," said Lisa Moskovitz, RD, founder of The NY Nutrition Group and author of The Core 3 Healthy Eating Plan, who was not involved with the new recommendations.

1. Plant Proteins Take Priority Over Meat

Protein is an essential component of a heart-healthy diet, but most people still consume more protein from meat than from plants. While the AHA's previous guidelines simply recommend plant proteins, the new guidance actually says to switch from meat to plant sources, because plant proteins "are higher in unsaturated fat than saturated fat, and rich in fiber, an under-consumed but important nutrient," Lichtenstein told Health.

For animal proteins, the guidelines still recommend fish and seafood—as these lean proteins are also rich in omega-3s—but the authors advise against red meat, which is high in saturated fat. According to Alison Steiber, PhD, RDN, ‪chief mission, impact, and strategy officer at the Academy of Nutrition and Dietetics, current evidence seems to suggest that “increased consumption of red meat—particularly processed meat but also just regular red meat—indicates an increased risk of cardiovascular disease.”

It's worth noting that this guidance departs from the federal government's 2025-2030 Dietary Guidelines for Americans, which encourages the consumption of red meat. “When you’re trying to reduce or prevent cardiovascular disease, you have a little bit of a different emphasis," explained Steiber, who was not involved in the new guidelines. “You want to dramatically reduce saturated fats and increase fiber and micronutrients.”

2. A Broader Emphasis on Unsaturated Fat

While the last AHA guidance on unsaturated fat focused specifically on cooking oils (recommending olive oil over butter, for example), the new guidelines more broadly recommend foods high in unsaturated fat over those rich in saturated fat. Eating more saturated fat can raise your LDL cholesterol (the "bad" one), which increases your risk of heart disease and stroke, Lichtenstein explained.

The extent to which saturated fat affects your heart health has been contested—with some research finding little to no impact for people with low heart disease risk—but the AHA found stronger evidence to back up its recommendation. Moskovitz chalked up the controversy to overlapping risk factors, which can make it difficult to isolate the effects of saturated fat alone.

"Saturated fat can raise bad LDL cholesterol, but high LDLs do not independently determine heart health or cardiovascular disease risk," Moskovitz told Health. "Risk factors are a combination of blood lipids, inflammatory markers, genetics, lifestyle habits, etc."

3. A Recognition of the Full-Fat Dairy Debate

The health impacts of dairy, especially on your heart, are also up for debate. Full-fat dairy is high in saturated fat, but emerging research has found no adverse heart health effects from high-dairy diets, regardless of fat content.

The research is still ongoing, “but it certainly seems to indicate that dairy saturated fat should not be lumped in with, say, red meat," Steiber said. The 2025-2030 Dietary Guidelines for Americans, for instance, specifically recommends full-fat dairy.

While it's still up in the air, the AHA stuck with its recommendation for low-fat and fat-free dairy, which has less saturated fat than full-fat options. But for the first time, the guidelines recognized the debate.

"While still recommending low-fat and fat-free dairy products as a preferred choice, [the AHA] recognizes that the recommendation is not without controversy and will continue to be monitored as new data become available," Lichtenstein said.

4. A Stronger Push to Limit Ultra-Processed Foods

Similar to the AHA's last dietary guidelines, the new recommendations also advised against eating ultra-processed foods. "The major concern with this trend is the strong evidence base linking dietary patterns high in ultra-processed foods to multiple adverse health outcomes, including overweight and obesity, cardiovascular disease, type 2 diabetes, and all-cause mor­tality," Lichtenstein said.

What's different in the new guidelines: calling for a shift in the marketplace to offer healthier options. "We also need to understand the population needs foods that are accessible and affordable," Steiber said, noting that processed foods tend to be less expensive than whole foods. The hope is to have an "increased availability of minimally processed options wherever people buy or eat food," Lichtenstein added.

5. Potassium Is a Bigger Focus For Blood Pressure

Beyond reducing your sodium intake, the new guidelines now recommend getting more potassium as well to help manage blood pressure—as high blood pressure (hypertension) is the No. 1 preventable health risk for cardiovascular disease, Lichtenstein said.

In your body, excess sodium can make you retain water, increasing your blood volume and raising blood pressure. Meanwhile, potassium helps your body excrete sodium in urine and relax blood vessels, bringing down blood pressure.

“Sodium and potassium sort of work like teeter-totters. They’re best in balance," Steiber explained. "But more potassium can have very beneficial blood pressure impacts.”

6. A Stricter Stance on Alcohol

The effects of alcohol on heart health have also been debated, especially when it comes to red wine. Red wine contains antioxidants like resveratrol, which are thought to help lower cholesterol and blood pressure, but no research has established a cause-and-effect link between drinking alcohol and better heart health.

While previous AHA guidelines allowed one to two drinks per day, the new recommendations take a tougher stance and do not specify a safe drinking amount. "When it comes to alcohol consumption, the more you can avoid it, the better," Moskovitz said, explaining the new guidance. "It appears the research is leaning in favor of cutting it out completely for optimal heart health protection."

As research is still ongoing, the recommendations don't ban alcohol entirely for heart health. But for the first time, the guidelines recognize that no amount of alcohol is safe for the risk of certain cancers, including oral, esophageal, breast, liver, and colorectal cancers, Lichtenstein said.

Plus, “we know that binge drinking, chronically high intakes of alcohol can indicate many worse outcomes for weight, mortality, cancer, cardiovascular disease," Steiber added.



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Power BI Datasets – Table of Content

What is Power BI?

Power BI is a set of software services, apps, and connectors that work together to turn disparate data sources into coherent, visually immersive, and interactive insights. Your data could be in the form of an Excel spreadsheet or a hybrid data warehouse that is both on-premises and cloud-based. Power BI makes it simple to connect to your data sources, visualize and uncover what matters, and share your findings with whomever you choose.

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What are Datasets in Power BI?

A dataset is a data collection that you can connect to or import. Power BI allows you to connect to and import all kinds of datasets, allowing you to put everything together in one place. Dataflows can also be used for sourcing the data for Datasets. Workspaces are associated with datasets, and a single dataset can be used in multiple workspaces.
We have selected “My workspace” and then the “Datasets + dataflows” tab in the example below

Power BI workspace

Let us now look into the different types of Datasets in Power BI.

Types of Datasets

Datasets in Power BI are ready to report and visualize the source of data. There are five different types of datasets, each of which can be constructed in one of the following ways:

  • An existing data model will be connected that is not hosted in a Power BI capability.
  • Power BI Desktop file needs to be uploaded which includes a model.
  • Uploading a CSV (comma-separated values) file, or uploading an Excel workbook (Includes one or more Excel tables and/or a workbook data model).
  • Creating a push dataset using the Power BI service.
  • Creating streaming or dataset with hybrid streaming using the Power BI service.

Let us now explore different types of Datasets.

1) External-hosted models

Azure Analysis Services and SQL Server Analysis Services are the two types of externally hosted models. Installing the on-premises data gateway, whether on-premises or VM-hosted infrastructure-as-a-service (IaaS), is required to connect to a SQL Server Analysis Services model. A gateway isn’t required for Azure Analysis Services.

When there are existing model investments, such as those that form part of an enterprise data warehouse(EDW), connecting to Analysis Services makes sense. By utilizing the identity of the Power BI report user, Power BI can establish a live connection to Analysis Services, enforcing data permissions. Both tabular models and multidimensional (cubes) are supported by SQL Server Analysis Services. A live connection dataset sends queries to externally hosted models, as demonstrated in the accompanying 

External-hosted models

2) Power BI Desktop-developed models

A model can be created using Power BI Desktop, a client application for Power BI development. The model is essentially a tabular Analysis Services model. Models can be created by importing data from dataflows and blending it with data from external sources. While the characteristics of how modeling can be accomplished are outside the subject of this article, it’s crucial to note that Power BI Desktop supports three different types, or modes, of models. We are going to discuss the datasets in the coming sections.

Row-Level Security (RLS) can be used in externally hosted models and Power BI desktop models to restrict the amount of data that can be obtained for a certain user. Users in the Salespeople security group, for instance, can only see report data for the sales region(s) to which they’ve been assigned. Roles in RLS can be either static or dynamic. Static roles apply the same filters to all users allocated to the position, whereas dynamic roles filter by the report user.

3) Excel workbook models

The creation of a model is automatic when datasets are created from Excel workbooks or CSV files. To construct model tables, Excel tables, and CSV data are imported, and an Excel workbook data model is translated to produce a Power BI model. In every scenario, data from a file is imported into a model.

4) Push Dataset

A Power BI dataset that can only be created and populated using the Power BI API is known as a push dataset. However, the lack of a good user interface for creating a push dataset restricted its adoption to scenarios where a single table was inhabited with real-time data streaming.

5) Hybrid Streaming Dataset

Real-time streaming in Power BI allows you to stream data and update dashboards in real-time. Real-time data and visuals can be displayed and updated in any Power BI visual or dashboard. Factory sensors, social media sources, service usage metrics, and a variety of other time-sensitive data collectors or transmitters can all be used to collect and transmit streaming data.

Hybrid Streaming Dataset

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How to Create a Power BI Dataset?

Before discussing the steps of creation. It is necessary to know that there are three basic ways to retrieve data in Power BI Desktop that you will use to create your visualizations:

1) Live:

Here you will be connecting to a server that carries all the data. Although no data is sent, the model’s metadata is imported into Power BI Desktop. A query is transmitted to the server when you build visualizations, and it is then executed. The outcomes are then visualized and returned to Desktop. With SQL Server Analysis Services (SSAS) models, whether multidimensional or Tabular, live connections are commonly employed. Power BI Desktop behaves like any other thin client in this scenario, like Excel or Reporting Services (SSRS). It is not possible to make major modifications to the model, but you can add new measurements that will be available in that  .pbix file.

2) DirectQuery:

You can make more modifications to the model here than you can with a Live connection. The data is kept on the server, and queries are run on the server, just like in Live. The Power BI Desktop model, for instance, allows for the creation of relationships.

3) Import:

Power Query queries are used to import the data into a Power BI Desktop file (.pbix). The data is compressed highly so it’s feasible to load records in millions into a file on your system. A model, comparable to an SSAS Tabular model, is built behind the scenes. This is the most versatile mode, as it allows you to blend data from any source. However, all data must be loaded into your model, which can take a long time to refresh.

Now, let’s move to create the dataset. Below are the steps which make you comprehend the creation of the Power BI Dataset.

1) A dataset is connected to the .pbix file where it was created one by one. When you first launch PBI Desktop, click “Get Data” to create a new dataset.

Get Data

Alternatively, you can choose a source from the dropdown menu as shown below:

dropdown menu

2) Let’s assume we imported a few tables from the WideWorldImporters SQL Server sample database (The .pbix file can be downloaded here). The tables and their relationships are visible in the Model view:

.pbix file downloaded

3) You can view the actual data of one table at a time in the “Data view”.

Data view

4) You can create, view, and interact with visualizations built on top of the data and model in the “Report view”. 

Report view

 The dataset is made up of the data as well as the model view. Now, let’s move to the different modes of Dataset available in Power BI.  

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Dataset modes in the Power BI

These modes of Dataset in Power BI ascertain whether or not data is imported into the model or retained in the data source. The following are the three Dataset modes in Power BI:

  1. Import
  2. DirectQuery
  3. Composite
1) Import

The most popular mode for developing datasets is the import mode. Because of in-memory querying, this mode provides incredibly quick performance. Modelers can also benefit from design flexibility and support for certain Power BI service capabilities (Quick Insights, Q&A, etc.). It’s the default mode when developing a new Power BI Desktop solution because of these advantages.

It’s crucial to realize that all imported data is saved on disk. When the data is refreshed or queried, it should be fully loaded into the memory of Power BI. Import models can yield very rapid query results once they are in memory. It’s also crucial to note that there’s no such thing as a partially loaded Import model in memory. An Import model can also integrate data from any number of supported data source types. The following image illustrates it. 

Import model

2) DirectQuery

Import mode can be replaced by DirectQuery mode. Data is not imported into models created in DirectQuery mode. Instead, they are made up entirely of metadata that defines the model’s structure. If the model is queried, data is retrieved by using the native queries from the underlying data source.

DirectQuery Model

3) Composite

The composite mode can blend DirectQuery and Import modes, or integrate multiple data sources for DirectQuery. The storage mode for every model table can be configured for models created in Composite mode. Calculated tables (defined with DAX) can also be used in this mode.

Composite Model

Import and DirectQuery modes are used in composite models to give you the best of both modes. They can blend the high query performance of in-memory models with the capacity to access near real-time data from data sources when set properly.

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 Conclusion:
We have successfully learned that Power BI lets you connect various datasets for importing and bringing them all together in one place. In this blog, we explored the topics of Datasets in Power BI in a systematic flow by understanding Power BI, then Datasets in Power BI, different types of Datasets and models used for reporting and visualizing data, creating a Dataset for connecting files, and various modes of Datasets in Power BI.

Related Article:

  1. MSBI vs Power BI
  2. Looker vs Power BI
  3. KPI in Power BI
  4. DAX In Power BI
  5. Power BI Architecture
  6. Power BI Components
  7. Power BI Dashboard
  8. Power BI Data Modeling
  9. Power BI Documentation



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