This study compared and calibrated metabolic equivalents (METs) per day from 24-hour physical activity recall (24hPAR) with accelerometry. A sub-sample of 74 adults of both sexes, residents of Brasília, Brazil, from a larger study had same day measurements of accelerometry and 24hPAR data. METs values were assessed by accelerometry (7 consecutive days of use) and by 24hPAR (minimum of one and maximum of 2 per person). A script was written in the R statistical software to analyse the recall and accelerometer data. The script ran a simple linear regression to visualize the relationship between total METs/day for the two methods and to execute the recall measurement error correction. Most of participants were female (54.1%), with at least university graduate (94.6%) and mean age of 34.8 years (±11.83). The correlation coefficient obtained between 24hPAR and accelerometer was = 0.55, considered moderate and significant ( < 0.001). A majority of the participants (77%) underestimated METs values compared to accelerometry when answering the questionnaire. Calibration of 24hPAR allowed us to approximate MET values to the accelerometer. The calibration equation to correct total METs/day for measurement error is (total 24hPAR METs/day - 10.6)/0.619. The 24hPAR is a decent tool to assess PA level in large adults' samples. However, compared with accelerometer, it underestimates METs values, which can be corrected with the use of the calibration equation provided in this study.

Download full-text PDF

Source
http://dx.doi.org/10.1080/17461391.2020.1866077DOI Listing

Publication Analysis

Top Keywords

mets values
12
24-hour physical
8
physical activity
8
activity recall
8
total mets/day
8
measurement error
8
calibration equation
8
24hpar
7
comparison calibration
4
calibration 24-hour
4

Similar Publications

Purpose: Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD).

View Article and Find Full Text PDF

Application Value of STOP-Bang Questionnaire in Predicting Abnormal Metabolites.

Diabetes Metab Syndr Obes

January 2025

Department of Ear, Nose and Throat, Beijing Hepingli Hospital, Beijing, People's Republic of China.

Objective: To evaluate the application value of STOP-Bang questionnaire (SBQ) in predicting abnormal metabolites.

Methods: Totally 121 patients were included into the study and filled the questionnaires, and their clinical data were collected at the same time. These patients were grouped according to the questionnaire scores.

View Article and Find Full Text PDF

Effects of Cirsium japonicum var. maackii on avelliation of metabolic disease by improving insulin resistance.

Lab Anim Res

January 2025

Department of Laboratory Animal Medicine, College of Veterinary Medicine, Jeonbuk National University, The 1st Veterinary R&D Building Rm 301, 79 Gobong-ro, Iksan-si, Jeollabuk-do, 54596, Republic of Korea.

Background: Metabolic syndrome (MetS) refers to a group of risk factors that cause health problems, such as obesity, diabetes, dyslipidemia, and hyperglycemia. MetS is characterized by insulin resistance, which leads to abnormal insulin sensitivity. Cirsium japonicum var.

View Article and Find Full Text PDF

Background: Plasma AST and ALT may reflect the nonalcoholic fatty liver disease (NAFLD) severity and have been associated with the risk of MetS in middle- or old-aged individuals.

Aims: This study aimed to examine the associations of plasma hepatic aspartate and alanine transaminases (AST and ALT) levels with incident metabolic syndrome (MetS) in young adults, which have not been verified before.

Objective: The goal of this study was to identify the association between plasma hepatic transaminases and the incidence of new-onset MetS among young adults.

View Article and Find Full Text PDF

Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study.

Cardiovasc Diabetol

January 2025

Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.

Background: Insulin resistance proxy indicators are significantly associated with cardiovascular disease (CVD) and diabetes. However, the correlations between the estimated glucose disposal rate (eGDR) index and CVD and its subtypes have yet to be thoroughly researched.

Methods: 10,690 respondents with diabetes and prediabetes from the NHANES 1999-2016 were enrolled in the study.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!