Evidence map›Paper›PMID 38151275›Full record

ArticleBMJ open2023

Defining anthropometric thresholds (mid-arm circumference and calf circumference) in older adults residing in the community: a cross-sectional analysis using data from the population representative Longitudinal Aging Study in India (LASI DAD).

Manjusha Bhagwasia, Abhijith Rajaram Rao, Joyita Banerjee, Swati Bajpai, Pranali Yogiraj Khobragade, Aruna V Raman, Arunanshu Talukdar, Arvind Jain, Chhaya Rajguru, Lalit Sankhe and 13 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

23 authors at 14 institutions in 2 countries.

Manjusha BhagwasiaDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.ORCID 0000-0002-7474-4921
Abhijith Rajaram RaoDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Joyita BanerjeeDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Swati BajpaiDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Pranali Yogiraj KhobragadeUniversity of Southern California Dana and David Dornsife College of Letters Arts and Sciences, Los Angeles, California, USA.
Aruna V RamanDepartment of Medicine, Medical College, Thiruvananthapuram, India.
Arunanshu TalukdarDepartment of Geriatric Medicine, Medical College Kolkata, Kolkata, India.
Arvind JainDr Sampurnanand Medical College, Jodhpur, Rajasthan, India.
Chhaya RajguruDepartment of Community Medicine, JJ Hospital, Mumbai, India.
Lalit SankheDepartment of Community Medicine, JJ Hospital, Mumbai, India.
Debabrata GoswamiDepartment of Medicine, Guwahati Medical College, Guwahati, India.
Ganapathy Sankaralingam ShanthiMadras Medical College, Chennai, Tamil Nadu, India.
Govind KumarDepartment of Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India.
Mathew VarghesePsychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Minakshi DharInternal Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.ORCID 0000-0001-6336-5179
Monica GuptaDepartment of General Medicine, Government Medical College and Hospital, Thiruvananthapuram, India.
Parvaiz A Koulinternal and Pulmonary Medicine, Sheri Kashmir Inst Med Sci, Srinagar, Jammu & Kashmir, India.
Rashmi Ranjan MohantyDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Sankha Shubhra ChakrabartiBanaras Hindu University, Varanasi, India.ORCID 0000-0001-7737-0016
Sathyanarayana Raju YadatiDepartment of Medicine, Nizam's Institute of Medical Sciences, Hyderabad, India.
Sharmistha DeyBiophysics, AIIMS, New Delhi, India.
Jinkook LeeUniversity of Southern California Dana and David Dornsife College of Letters Arts and Sciences, Los Angeles, California, USA.
Aparajit Ballav DeyDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India abdey@hotmail.com.
All India Institute of Medical Sciences · INGrant Medical College and Sir Jamshedjee Jeejeebhoy Group of Hospitals · INUniversity of Southern California · USAll India Institute of Medical Sciences Raipur · INAll India Institute of Medical Sciences Rishikesh · INBanaras Hindu University · INGauhati Medical College and Hospital · INGovernment Medical College and Hospital · INIndira Gandhi Institute of Medical Sciences · INKPC Medical College and Hospital · INMadras Medical College · INNational Institute of Mental Health and Neurosciences · INNizam's Institute of Medical Sciences · INSher-i-Kashmir Institute of Medical Sciences · IN

Funding

Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
NIA NIH HHS R01 AG051125
6 · The paper itself

Abstract

objectivesTo identify factors associated with malnutrition (undernutrition and overnutrition) and determine appropriate cut-off values for mid-arm circumference (MAC) and calf circumference (CC) among community-dwelling Indian older adults.

designData from the first wave of harmonised diagnostic assessment of dementia for Longitudinal Ageing Study in India (LASI-DAD) were used. Various sociodemographic factors, comorbidities, geriatric syndromes, childhood financial and health status were included. Anthropometric measurements included body mass index (BMI), MAC and CC.

settingNationally representative cohort study including 36 Indian states and union territories.

participants4096 older adults aged >60 years from LASI DAD. OUTCOME MEASURES: The outcome variable was BMI, categorised as low (<18.5 kg/m

results902 (weighted percentage 20.55%) had low BMI, 1742 (44.25%) had high BMI. Undernutrition was associated with age, wealth-quintile and impaired cognition, while overnutrition was associated with higher education, urban living and comorbidities such as hypertension, diabetes and chronic heart disease. For CC, the optimal lower and upper cut-offs for males were 28.1 cm and >31.5 cm, respectively, while for females, the corresponding values were 26 cm and >29 cm. Similarly, the optimal lower and upper cut-offs for MAC in males were 23.9 cm and >26.9 cm, and for females, they were 22.5 cm and >25 cm.

conclusionOur study identifies a high BMI prevalence, especially among females, individuals with higher education, urban residents and those with comorbidities. We establish gender-specific MAC and CC cut-off values with significant implications for healthcare, policy and research. Tailored interventions can address undernutrition and overnutrition in older adults, enhancing standardised nutritional assessment and well-being.

Indexed as

AnthropometryMalnutritionOvernutritionAgedAgingBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedReference ValuesAgingGERIATRIC MEDICINENutrition

Identifiers

PMID38151275
PMCPMC10753742
OpenAlexW4390277387

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.