6 Supplements That May Support Heart Health



Medically reviewed by Jeffrey S. Lander, MD

Omega-3 fatty acids, CoQ10, and red yeast rice are some supplements that may help your heart.Credit: Ekaterina Goncharova / Getty Images
Omega-3 fatty acids, CoQ10, and red yeast rice are some supplements that may help your heart.
Credit: Ekaterina Goncharova / Getty Images
  • There is limited evidence supporting the use of supplements for heart health, but ones that may help include omega-3s, fiber, garlic, and red yeast rice.
  • Supplements like garlic and red yeast rice might help lower your cholesterol levels, while coenzyme Q10 may be beneficial for people with heart failure.
  • If you’re considering a supplement for your heart health, talk to a healthcare provider to see if it is right for you.

There are several dietary supplements on the market that claim to keep your heart healthy, but the research supporting their use is limited. While more research is needed on their effectiveness, here are six supplements that are commonly used to support heart health.

1. Omega-3 Fatty Acids

Credit: MirageC / Getty Images
Credit: MirageC / Getty Images

Omega-3 fatty acids are polyunsaturated fats that support several body systems, such as your heart, lungs, and immune system. They are found naturally in foods like fatty fish and flaxseed but are also sold as dietary supplements. Fish oil, krill oil, cod liver oil, and algal oil contain omega-3s, and there are also prescription-strength omega-3s available.

People often take omega-3 supplements to support heart health. The supplements are widely believed to lower your risk of cardiovascular disease (CVD), but the evidence supporting this benefit is mixed.

How it may help the heart: There is research that shows omega-3s can lower your triglyceride levels, especially if you take more than 2 grams per day. This can indirectly lower the risk of heart issues, such as heart attacks or strokes, since high triglycerides are a risk factor for CVD. Because of this, healthcare providers often recommend prescription-strength omega-3 products like Lovaza or Vascepa for people with very high triglycerides.

2. Coenzyme Q10

Credit: chuchart duangdaw / Getty Images
Credit: chuchart duangdaw / Getty Images

Coenzyme Q10—or CoQ10—is a substance the body naturally produces. It is also sold as a dietary supplement that people believe may support heart health.

How it may help the heart: There is some evidence that CoQ10 is beneficial for people with heart failure. Studies have shown that the supplement may improve ejection fraction (how much blood the heart's left ventricle pumps out with each heartbeat) and cardiac function, while also reducing cardiac stress. Among people with heart failure, coenzyme Q10 has also been shown to improve symptoms and outcomes, such as cardiovascular deaths and hospitalizations.

3. Garlic

Credit: Iryna Imago / Getty Images
Credit: Iryna Imago / Getty Images

Garlic has a long history of use for health conditions due to its medicinal properties, which include anti-inflammatory, antioxidant, and antimicrobial effects. As a dietary supplement, garlic is often promoted to help with high cholesterol, high blood pressure, and diabetes.

How it may help the heart: Some research has shown that garlic can slightly improve blood pressure and cholesterol, which lowers the risk of CVD. However, it may only be effective in people who have existing high cholesterol levels or high blood pressure. More research is needed to determine the benefits of garlic supplements.

4. Fiber

Credit: Roberto Machado Noa / Getty Images
Credit: Roberto Machado Noa / Getty Images

Dietary fiber comes from plant-based foods like fruits, vegetables, nuts, and seeds. Although it is best to get fiber naturally from nutritious foods, you may consider fiber supplements like psyllium or beta-glucan if you aren't consuming the recommended amount.

How it may help the heart: Studies have shown that high-fiber diets can lower the risk of heart attack, stroke, and CVD. Fiber helps the body flush out toxins, lower cholesterol, and encourage weight loss—all of which lower your risk of heart disease.

5. Red Yeast Rice

Credit: Professor25 / Getty Images
Credit: Professor25 / Getty Images

Red yeast rice is a fermented rice product that contains monacolin K, a compound that is structurally identical to the cholesterol medication lovastatin. Lovastatin is a statin drug that decreases cholesterol to lower the risk of heart attack and stroke.

How it may help the heart: Red yeast rice can effectively lower cholesterol levels, and it may also reduce your risk of heart disease. However, the amount of monacolin K in red yeast rice products varies greatly, as some products contain very little of the compound and others have large amounts. Because you can't tell how much monacolin K is in each product, healthcare providers don't always recommend red yeast rice supplementation. Some red yeast rice products may also contain a toxin that can cause kidney damage.

6. Green Tea Extract

Credit: PAVEL IARUNICHEV / Getty Images
Credit: PAVEL IARUNICHEV / Getty Images

Green tea extract is a decaffeinated green tea mixture that is sold as a dietary supplement.

How it may help the heart: There is some evidence that green tea extract can help improve cholesterol and blood sugar levels, which may help lower the risk of CVD. And when consumed as part of a heart-healthy diet, green tea may reduce the risk of heart disease by promoting weight loss and increasing "good" high-density lipoprotein (HDL) cholesterol. However, other studies have shown that green tea does not affect HDL cholesterol. Ultimately, more research is needed to determine the impact of green tea extract.

How To Choose a Supplement

It is usually recommended to get all of the nutrients your body needs through your diet. However, if you're looking for a supplement to boost your heart health, here's what to do:

  • Find out if the supplement is worth taking: According to the American Heart Association, there isn't enough evidence to support the use of supplements for heart health. Because of this, it is important to talk to a healthcare provider if you are considering starting a supplement.
  • Look for a product that's been third-party tested: The U.S. Food and Drug Administration (FDA) isn't required to review supplements for safety or effectiveness before they are sold. Therefore, the supplements you buy may contain unsafe ingredients. To reduce this risk, look for supplements that are tested by a third-party organization, such as NSF International or USP. This ensures that what is listed on the label is what is actually in the product.
  • Find out if the supplement is safe for you: Dietary supplements can interact with your existing medications or medical conditions. Before starting a supplement, talk to your healthcare provider to make sure it is safe for you.



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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.  

[ Related Article : msbi ]

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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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