People Who Live to 100 Tend to Follow These 6 Weekly Habits



Fact checked by Nick Blackmer

One centenarian in the survey said they recently completed a 10-mile hike.Credit: Nathan Bilow / Getty Images
One centenarian in the survey said they recently completed a 10-mile hike.
Credit: Nathan Bilow / Getty Images
  • A new survey of 100 centenarians found six simple weekly habits they do to stay healthy.
  • These habits work together to lower inflammation, protect mobility and cognition, and support physical and emotional health.
  • Genetics matter, but experts say healthy habits can meaningfully boost longevity.

People often look to centenarians (people who are 100 years or older) for the secret to healthy aging. While there's no magic bullet for longevity, there is some wisdom to be learned from this group—which is why UnitedHealthcare recently surveyed 100 of these older adults. Here are the six things they do every week to stay healthy.

1. Eat a Healthy Diet

Eating well isn’t just a suggestion for better living—it’s a must for healthy aging, according to 67% of centenarians. While the survey didn’t mention any specific foods, increasing research has discovered the long-term risks of diets high in ultra-processed foods, including higher rates of heart disease, stroke, cognitive decline, and mortality.

On the other hand, whole foods—like fruits, vegetables, and nuts—“support cardiovascular and brain health by lowering inflammation, improving glucose regulation, and supplying nutrients that protect cells from oxidative stress,” Jordan Weiss, PhD, an assistant professor in the Division of Precision Medicine and Optimal Aging Institute at the NYU Grossman School of Medicine, told Health.

Weiss also noted that eating for longevity isn’t about having more “superfoods” but about maintaining a healthy, balanced diet.

2. Muscle-Building Workouts

The survey also found that 46% of centenarians exercised to build muscle. “Staying active keeps my heart strong, mind sharp, body moving, spirit high, and health steady every day,” said one centenarian in the survey.

Muscle mass and strength decrease with age, reducing mobility and increasing the risk of falls. But strength training can help offset those declines and boost longevity. For instance, a 2022 study found that people over 65 who strength-trained at least twice a week had a lower risk of death than those who didn’t train as much.

3. Walking or Hiking

Each week, 42% of surveyed centenarians walk or hike, which has well-known longevity benefits. A recent research review linked 7,000 daily steps to a lower risk of heart disease, cancer, and even death. “Walking is the way most people in my community keep physically active,” said one of the survey respondents. “We have long hallways and nice areas outside to walk.”

Weiss said walking outside—hiking, especially—adds another benefit: nature. “Exposure to natural environments is associated with lower stress hormones, better mood, and even improved immune function,” he said. “Nature also encourages longer, more enjoyable bouts of movement, and varied terrain improves balance and joint health.”

4. Stress-Relieving Activities

De-stressing practices like meditation were a weekly priority for 36% of centenarians surveyed. “Chronic stress accelerates biological aging,” Weiss explained, adding that stress raises cortisol, promotes inflammation, impairs sleep, and affects cardiovascular health.

Meditating, or even just breathing slowly for a short amount of time, can activate the parasympathetic nervous system, reducing heart rate and calming stress circuits, Weiss said.

5. Gardening

Among the survey respondents, 29% said they worked in a garden every week. Gardening can support longevity because it links movement, nature, routine, purpose, and sunlight exposure. Your body soaks up the vitamin D, you can burn as many calories as a gym session, and you’ll likely get some social interaction—which may even protect against dementia, research has found.

6. Cardiovascular Exercise

Indoor cardiovascular exercise was a weekly habit for 28% of surveyed centenarians. Cardio exercises—such as running, swimming, or cycling—are vital for improving blood flow, oxygen delivery, and overall endurance, Weiss said, and they have a connection to longevity.

Research has found that having a higher VO2max, a measure of cardiorespiratory fitness, was linked to a lower risk of death from any cause, including cardiovascular disease and cancer. “I think the key to staying healthy is keeping active,” noted one centenarian in the survey.

Do Habits Really Matter, or Is It All About Genetics?

While genetics play a key role in longevity, your lifestyle still matters, experts said. Healthy habits, like those in the centenarian survey, can bolster longevity by reducing the forces that age us, such as chronic inflammation, blood vessel damage, mitochondrial decline, muscle loss, and stress, Weiss said. A healthy lifestyle also builds resilience in systems that protect independence: mood, cognition, mobility, balance, and social engagement, Weiss added.

Essentially, stable physical health allows centenarians to “wake up each day with goals and activities they want to pursue, and these, in turn, help keep them healthy,” Stacy L. Andersen, PhD, an associate professor of medicine at the Boston University Chobanian & Avedisian School of Medicine and codirector of the New England Centenarian Study, told Health.

If you’d like to adopt some of the healthy practices from the survey, Weiss recommends starting small and building habits that are doable for you. “When a habit fits your personality, your schedule, and your values, it stops feeling like work and starts feeling like part of your identity,” he said. “That is the real engine of long-term change.”



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


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.

 Become a Power BI Certified professional by learning this HKR Power BI Training !

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

Want to know more about Power BI,visit here Power BI Tutorial !

Power BI Training

  • Master Your Craft
  • Lifetime LMS & Faculty Access
  • 24/7 online expert support
  • Real-world & Project Based Learning

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 ]

HKR Trainings Logo

Subscribe to our YouTube channel to get new updates..!

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.

Top 50 frequently asked Power BI Interview Questions

Power BI Training

Weekday / Weekend Batches

 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



Source link