Evidence map›Paper›PMID 37654771›Full record

ArticleNutrition and metabolic insights2023

Dietary Patterns and Physical Activity Levels Among People With Type 2 Diabetes.

Thamina Rashid, Badder Hina Afnan, Akhter Ali Baloch, Saba Mughal, Mohammad Hasan, Muhammad Umar Khan

Open access · goldAbstract read
In one paragraph

Article in Nutrition and metabolic insights, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Thamina RashidNational Institute of Diabetes and Endocrinology, Dow University of Health Sciences Karachi, Pakistan.
Badder Hina AfnanDepartment of NILGID, Dow University of Health Sciences, Karachi, Pakistan.
Akhter Ali BalochNational Institute of Diabetes and Endocrinology, Dow University of Health Sciences Karachi, Pakistan.
Saba MughalSchool of Public Health Dow University Health Sciences, Karachi, Pakistan.
Mohammad HasanNational Institute of Diabetes and Endocrinology, Dow University of Health Sciences Karachi, Pakistan.
Muhammad Umar KhanNational Institute of Diabetes and Endocrinology, Dow University of Health Sciences Karachi, Pakistan.
Dow University of Health Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of our study was to assess the association of eating habits with the dietary patterns of people with diabetes. Methods: This cross-sectional study was conducted at National Institute of Diabetes and Endocrinology (NIDE), Dow University Hospital in Karachi, Pakistan. A total 301 patients aged >18 with type 2 diabetes came to Outpatient department were recruited. Structured questionnaire was used to assess general characteristics, Anthropometric measurements, biochemical markers, and dietary intake. Results: A total of 301 patients with type 2 diabetes mellitus were included in this study. The average age of patients was 51.6 (SD ± 11.1) years which ranged from 21 to 80 years whereas the average BMI was 27.2 kg / m Conclusion: Our study revealed that patients' fruits and vegetable intake was not optimum, diet was not balanced and the quantity of starchy carbohydrates was not controlled which may affect their HBA1C levels. Proper counseling and awareness about the importance of a balanced diet and portion control in diabetes are needed.

Indexed as

Dietary patternrice consumptionroti consumptiontype 2 diabetes

Identifiers

PMID37654771
PMCPMC10467306
OpenAlexW4386267515

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.