What I Wish My Patients Knew Before Starting GLP-1s for Obesity


Dr. Velazquez says it is not a failure or “cheating” to use obesity medications.Credit: Photo courtesy of Cedars-Sinai
Dr. Velazquez says it is not a failure or “cheating” to use obesity medications.
Credit: Photo courtesy of Cedars-Sinai

GLP-1 medications have exploded in popularity over the last couple of years. In fact, a recent poll found that about 1 in 8 adults in the United States is currently taking a GLP-1 to manage chronic conditions, lose weight, or both.

As a result, obesity treatment in the U.S. has changed dramatically, for both patients and obesity medicine providers. Amanda Velazquez, MD, director of Obesity Medicine at the Center for Weight Management and Metabolic Health at Cedars-Sinai in California, works with patients who have medically complex obesity cases. The majority of her patients are now on a GLP-1.

“These medications have meaningfully expanded the treatment toolbox for many more patients,” Velazquez told Health.

But the efficacy and popularity of GLP-1 drugs have also bred plenty of misconceptions. So before broaching the conversation with your doctor or picking up your first prescription, what do you actually need to know about GLP-1s? Here’s what Dr. Velazquez had to say.

What do you wish patients knew about starting obesity treatment and asking their doctor for GLP-1s?

Amanda Velazquez, MD: I wish patients knew that obesity is a lifelong, chronic metabolic disease that requires long-term treatment. It is not a failure—and it is definitely not “cheating”—to use other therapies in addition to lifestyle treatment, whether that's medication, weight loss procedures, and/or bariatric surgery. Everyone’s journey is different.

GLP-1 receptor agonists are recommended therapies for certain patient populations, but the best way to know whether one is right for you is to have a conversation with a healthcare professional.

Patients should feel comfortable asking their healthcare team about GLP-1s or any other treatment they are curious about. Coming into the conversation with questions, curiosity, and a sense of your goals can help support shared decision-making and lead to the best treatment plan.

What are some misconceptions you frequently hear from patients about taking GLP-1 drugs?

Dr. Velazquez: One of the most common misconceptions is that patients do not realize that obesity is a chronic disease and that GLP-1s, like other obesity management medications, are intended as long-term treatment.

People also frequently misunderstand how these medications work and how long it may take to see meaningful health improvements. The response to these medications is highly variable from person to person. Setting realistic expectations is an important part of treatment.

What do you wish patients knew about GLP-1 side effects?

Dr. Velazquez: Like any medication, GLP-1 receptor agonists can have side effects—they are not unique in that regard.

Many patients come in having heard stories from social media, the news, or their friends, but the credibility of those sources varies widely. Sometimes patients are getting misinformation or stories of extreme cases that do not actually reflect what we see in clinical practice.

It helps to put the risks into perspective: Gastrointestinal side effects are common, especially nausea and constipation. At the same time, more serious adverse events, such as pancreatitis, are very rare. Those are important distinctions.

I think some patients are overly fearful because of what they have heard online, while others underestimate how much these medications may affect appetite, digestion, hydration, and day-to-day life. No matter what, all patients should be counseled and have close follow-up with their medical team.

As GLP-1s have become increasingly popular, how has that influenced patients’ attitudes toward obesity treatment?

Dr. Velazquez: I do think the popularity of GLP-1s has helped normalize the treatment of obesity for many people. It has led to more mainstream conversations in society and healthcare about obesity as a disease that requires treatment, just like other chronic diseases. In that sense, I think more patients are open to discussing treatment than they were in the past.

That said, stigma absolutely still exists. Some patients still feel judged for taking obesity management medications, including GLP-1s, and there is still a persistent narrative that using medication is “the easy way out.” It is important to educate the public that this is incorrect. Treating obesity is not about taking shortcuts—it’s about using the appropriate tools to treat a chronic disease.

What About Compounded Versions of GLP-1s?

Dr. Velazquez: I strongly advise patients not to take compounded forms of GLP-1 receptor agonists. Safety comes first, and we cannot vouch for the safety or quality of compounded versions. Patients deserve care from trustworthy, evidence-based medical sources.

What do you wish patients knew about setting themselves up for success on a weight loss drug?

Dr. Velazquez: I wish patients knew that obesity treatment is about much more than simply taking a medication. These medications work best when they are part of a comprehensive, multifaceted care strategy that helps patients use them safely, appropriately, and effectively.

In other words, these medications should be used as part of a broader treatment plan that includes a focus on nutrition, physical activity, sleep, stress management, and social support. For patients living with obesity, this two-prong treatment—medications plus lifestyle intervention—is often recommended.

At the same time, I think it is important to say that no lifestyle change should be treated as a prerequisite for offering appropriate medical treatment. In the same way that we would not tell someone with diabetes to make lifestyle changes first and only then consider medication to lower blood sugar, we should not delay appropriate obesity treatment while waiting for someone to “earn” treatment with GLP-1s.



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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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