Evidence map›Paper›PMID 37267282›Full record

ArticlePloS one2023

Effects of age on non-communicable disease risk factors among Nepalese adults.

Bhim Prasad Sapkota, Kedar Prasad Baral, Eva A Rehfuess, Klaus G Parhofer, Ursula Berger

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
10.9field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 33 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

5 authors at 3 institutions in 2 countries.

Bhim Prasad SapkotaCIHLMU Center for International Health, LMU Munich, Munich, Germany.ORCID 0000-0001-7104-5968
Kedar Prasad BaralPatan Academy of Health Sciences, Lalitpur, Nepal.
Eva A RehfuessInstitute of Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany.
Klaus G ParhoferMedical Department-4, University Hospital, LMU Munich, Munich, Germany.
Ursula BergerInstitute of Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany.ORCID 0000-0002-9809-4177
LMU Klinikum · DEZimmer Biomet (Germany) · DEPatan Academy of Health Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing burden of non-communicable diseases (NCDs) and an increase in the prevalence of the underlying risk factors are creating a challenge to health systems in low- and middle-income countries (LMICs). In Nepal, deaths attributable to NCDs have been increasing, as has life expectancy. This poses questions with regards to how age and various risk factors interact in affecting NCDs. We analyzed the effects of age on NCD risk factors, using data from the Nepalese STEPs survey 2019, a nationally representative cross-sectional study. Six sociodemographic determinants, four behavioral risk factors, and four biological risk factors were examined. Age effects were analyzed among three age groups: below 35 years (young), 35-59 years (middle aged) and 60 years and above (elderly). The prevalence of selected behavioral risk factors for NCDs, notably smoking, alcohol consumption and insufficient physical activity, and some biological risk factors (hypertension, hyperlipidemia) increases with age. The prevalence of most behavioral risk factors was highest among men and women aged 60 years and above. The prevalence of hypertension and hyperlipidemia was highest among the elderly, but the prevalence of diabetes and overweight/obesity was highest among the middle aged for both sexes. Age interactions in the association between behaviors and biological risk factors were surprisingly weak. However, age interactions were significant in the association between alcohol consumption and -hypertension, -overweight/obesity and -hyperlipidemia among women. While the prevalence of NCD risk factors tends to be higher among elders, the interaction between age and risk factors is complex. Most NCD risk factors are related to behaviors, which originate in young adulthood. It is necessary to diagnose and treat biological risk factors, in younger age groups before they manifest as NCDs. Similarly, behavior change interventions need to target these younger age groups to reduce the risk of NCDs later in life.

Indexed as

HyperlipidemiasHypertensionNoncommunicable DiseasesAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNepalObesityOverweightPrevalenceRisk FactorsYoung Adult

Identifiers

PMID37267282
PMCPMC10237426
OpenAlexW4379197122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.