6 Supplement Pairings That May Work Better Together



Fact checked by Nick Blackmer

Always check with your doctor before adding supplements to your diet.Credit: Kinga Krzeminska / Getty Images
Always check with your doctor before adding supplements to your diet.
Credit: Kinga Krzeminska / Getty Images
  • Some supplements work better when taken together.
  • Some supplement combos help improve absorption. For example, vitamin D allows the gut to absorb calcium. And vitamin C helps the body absorb iron.
  • Other supplements that may work better together include vitamin D and magnesium, as well as omega-3 and vitamin E.

You’ve probably heard that some supplements shouldn’t be mixed—but on the flip side, certain vitamin and mineral combinations actually work better in tandem. Dietitians say these nutrient pairings are worth considering for their added benefits.

1. Vitamin D and Calcium

For the approximately 10 million Americans with osteoporosis, bone health is naturally top of mind. If you’re looking to strengthen your skeleton, consider combining vitamin D and calcium.

“Vitamin D and calcium work synergistically to support bone health and prevent osteoporosis,” Julie Pace, RDN, of Core Nutrition Health & Wellness, told Health. “Vitamin D is essential for calcium absorption in the gut. Without it, your body can’t use calcium effectively,” she explained.

A 2019 study found that taking both vitamin D and calcium was more effective for preventing hip fractures in people at risk than taking vitamin D alone.

2. Vitamin C and Iron

Iron- and vitamin C-rich foods, like leafy greens and citrus fruits, don’t just taste good together—they’re also nutrient teammates.

Vitamin C enhances the body’s ability to absorb nonheme, plant-based iron, Erin Jowett, MS, RD, LDN, a functional dietitian, weight-loss expert, and founder of Integrative Weight & Wellness, told Health. It “does this by increasing the acidity of the GI tract, enhancing the conversion of ferric iron to ferrous iron,” the kind that's easier to absorb.

Getting enough iron is key for numerous areas of health. Having adequate levels supports oxygen transport and muscle metabolism and helps prevent iron-deficiency anemia.

3. Zinc and Vitamin A

Zinc is well known for supporting immune defense, helping the body fight off infections like the common cold. Vitamin A also plays a key role in immune health—as well as healthy vision, cellular communication, and reproduction.

Together, these nutrients build on each other’s effectiveness, said Amanda Crowe, MS, RD, INHC, founder of Drive By Nutrition. “Zinc enables the synthesis of retinol-binding protein, which transports vitamin A from the liver to tissues, and activates enzymes that convert retinol [a form of vitamin A] to its active form,” she told Health. It’s no surprise then that some studies have found that zinc and vitamin A deficiencies often go hand in hand.

4. Omega-3s and Vitamin E 

Hoping to reap the brain and heart health perks of omega-3 fatty acids? You may want to pair them with vitamin E. “Omega-3 fats are highly unsaturated and prone to oxidation; vitamin E protects these fats and cell membranes, helping preserve their anti-inflammatory and cardioprotective effects,” Crowe said.

A 2019 meta-analysis found that combining vitamin E and omega-3 supplements reduced markers of inflammation, increased total antioxidant capacity, and boosted nitric oxide—a molecule that promotes better blood flow.

Before loading up on both, keep in mind that each one affects blood clotting. As such, Crowe recommended that those taking an anticoagulant consult a provider before using high-dose supplements.

5. Selenium and Iodine

Selenium and iodine don’t always get the spotlight, but these trace minerals are critical for good health—especially when it comes to a thriving thyroid. By regulating thyroid hormones, they support metabolism, weight regulation, and mood, said Jowett.

These two thyroid-supporting minerals also happen to work in tandem. “Selenium helps convert thyroid hormone (T4) into its active form (T3), while iodine helps build it,” Jowett said. Since low levels of either mineral can slow thyroid function, taking them together may help boost your endocrine system. If you have an overactive or underactive thyroid, ask your doctor about whether this combination should be part of your treatment.

6. Vitamin D and Magnesium

Vitamin D is one of the most popular dietary supplements in the U.S., second only to multivitamins. Magnesium is also commonly taken, driven in part by reports that most people in the U.S. don’t get enough from their diets.

If you happen to be supplementing with both, you’re onto something. According to Jessica Brantley-Lopez, MBA, RDN, vitamin D helps the gut transport magnesium from food and supplements more efficiently, while magnesium increases vitamin D absorption.

“Magnesium is required for vitamin D to be converted to its active form within the body,” Brantley-Lopez told Health. A 2018 study, for example, found that magnesium supplementation improved vitamin D levels in people with little of it and reduced levels that were too high.

In short, these two nutrients create a positive feedback loop that may support bone health, mood, and immune function, said Jowett.



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Informatica Data Quality tutorial – Table of Content

What is Informatica Data Quality?

Informatica Data Quality is an offering of Informatica that helps manage the quality of data across the whole enterprise. It offers features like data analysis, data cleansing, data matching, reporting, and monitoring capabilities, and many more. It ensures that data is consistent across the enterprise to meet the business objectives.

IDQ uses the Claire engine in the backend to make intelligent recommendations and assessments. It also uses AI-driven insights to streamline data discovery. It offers transformations like data standardization, validation, re-duplication. The IDQ is available on both Microsoft Azure and AWS public clouds. So the users can quickly spin up infrastructure on the cloud and start working with it.

Informatica Data Quality was awarded as the Data Quality Market Winner in 2018 by CRM Magazine.

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What are the advantages of IDQ?

Below are the advantages of the IDQ tool,

  • It can quickly deploy data quality for all real-time workloads.
  • The IDQ is very flexible that even non-developers can start working with it.
  • We can manage data quality from both multi-cloud and on-premises.
  • It enables collaboration between IT and business stakeholders.
  • We can reuse standard rules across the data from different sources.
  • It offers data profiling for data privacy and protection.
  • It improves data quality for enabling data protection.
  • It ensures that the relevance of the information is stored.
  • Improving data quality enhances data-driven digital transformation.
  • Regardless of volume or type of data, IDQ ensures the highest quality of data is delivered to get accurate insights.
  • We can easily integrate IDQ with other tools.

Core components of IDQ:

The IDQ has two core components.

Data Quality Workbench

It is like an IDE through which we can design, test, and deploy data quality plans. We can execute tests and plans through the workbench. It contains the Project Manager and File Manager on the left, and a workspace on the right where the plans are designed. Workbench offers 50 data components that we can use in our plans.

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Data Quality Server

It is used to run plans in a networked environment. We cannot create or edit plans on the server. It communicates with the workbench through TCP/IP connection. It also enables plans and file sharing across networks.

Both the workbench and server will be installed with a Data Quality engine and a Data Quality repository.

IDQ Workbench Match Algorithms

IDQ Workbench offers four algorithms that we can select from, to perform matching analysis. 

Hamming Distance algorithm

The hamming distance algorithm is useful when the positions of characters in a string are essential, for example, dates, telephone numbers, postal codes, etc. The strings to be analyzed should be of the same length because it implements transposing of one string into another. 

Jaro-Winkler algorithm

It is useful when the prefix of the string is essential. It measures the match percentage of the characters of two strings. It also calculates the number of transpositions required to change one string to another.

Edit Distance algorithm

It is useful for matching small strings like name or short address field. This algorithm is an implementation of the Levenshtein distance algorithm, and that helps in calculating the number of operations needed to transform one string into another. The operations include insertion, deletion, or substitution of characters.

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Bigram or Bigram frequency algorithm

It is useful for searching through long text strings like free format address lines and creates pairs of consecutive characters from both data strings and compares them to find common pairs. It will give a match score based on the common identical pairs between the two search strings.

Dictionaries

A dictionary in IDQ refers to a data set that we can use to evaluate data in sources and mapping. When we apply dictionaries to a mapping, it will compare each input field in the mapping against the dictionary, and performs the specified actions. There are two types of dictionaries available in Informatica.

Relational Dictionary

We can add a table in a database as a reference dictionary by using the relational dictionary. To connect to a table, we need to provide an ODBC data source, username, password, etc.

Flat File Dictionary

We can add a file from your local computer as a reference dictionary using the flat file dictionary. To read the data from the file, we need to give the name, description, and upload the file from your local computer.

Access level controls in IDQ

An organization implements role-based control to give access to individual users for specific data. Here are some of the types of roles that you want to define in your data quality project. 

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Platform Administrator 

The platform administrator installs software, performs version upgrades and emergency bug fixes. This person is responsible for maintaining subscription content. 

Effort Administrator

An effort administrator is a front-line manager (like a project lead) for the project. This person can either grant access or approve access to project resources.

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Developer

A developer builds mappings and workflows in IDQ workbench by taking advantage of the Effort Administrator’s service connections. The developer also uses the full-featured model repository.

Operator

An operator is the front-line reviewer of results. This person manages the platform’s effort to run data quality artifacts in the published and internal project folders. 

Analyst

An analyst manages specifications, reference tables, and scorecard notifications. This person is responsible for the identification of all data quality issues. The analyst role also includes all the capabilities of a basic analyst. 

Reports Developer

A reports developer creates and modifies reports using the developer tool and iReportsDesigner. The generated reports point to the dashboards and reports template star schema.

Integrating IDQ with MDM projects

Data cleansing will be a value-added feature for Master Data Management (MDM) project. We can easily integrate IDQ with MDM in three ways.

Informatica Platform Staging

Informatica has introduced this feature from version 10.x. Using platform staging, we can integrate MDM with IDQ thorough a setup. The setup requires configuring MDM hub, platform components, and connections to the data sources. Once the integration is complete, the tables will be available in the developer tool.

IDQ Cleanse Library

We can create functions in IDQ as operation mappings and deploy them as web services. These web services can be imported to Informatica MDM hub as a cleanse library. Features like delta detection, hard delete detection, audit trail are available in this process.

Informatica MDM as target

We can use Informatica MDM as a target for loading the data to landing tables in Informatica MDM. This way, we can create only one connection instead of multiple. Features like delta detection, hard delete detection, audit trail are available in this process.

Difference between IDQ and Powercenter

Both the Informatica PowerCenter and Informatica Data Quality tools have their features that serve different purposes.

  • Informatica PowerCenter is an ETL tool that extracts, transforms, and loads data. Informatica Data Quality ensures the highest quality of data.
  • We can create re-usable rules and validations in Data Quality and integrate them into PowerCenter.
  • Most of the transformations available in PowerCenter are also available in Data Quality. In addition to them, Data Quality has some more transformations.
  • The way we use passive transformation in PowerCenter is different from IDQ.

Conclusion

Using IDQ ensures that only consistent data is in use across the organization. The customer holds complete control of the transformations, validations, and rules applied through mappings. We can even identify distinct patterns available within the data. IDQ is the best possible way to achieve the highest quality of data. It generates profiling reports and Data Quality reports. We can validate duplication, conformity, and integrity of data with this tool.

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