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THE IMPACT OF COVID-19 PANDEMIC LOCKDOWN ON HYPERTENSIVE INDIVIDUALS WITH COMORBIDITIES OF A LONGITUDINAL COHORT IN INDIA

2021· article· en· W3154555950 on OpenAlexaff
Kaushik Chakraborty, Nilanjana Chakraborty, Ramendra Nath Mitra, Dipra Mitra

Bibliographic record

VenueJournal of Hypertension · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsHealth Research Foundation
Fundersnot available
KeywordsMedicineCohortPandemicPharmacyPopulationPolypharmacyComorbidityFamily medicineEmergency medicineInternal medicineEnvironmental healthCoronavirus disease 2019 (COVID-19)Disease

Abstract

fetched live from OpenAlex

Objective: The study objectives are to assess the challenges faced, individual awareness of pandemic, attitudes, and compliance of guidelines during lockdown. Design and method: This telephonic survey of 404 adult individuals were administered among hypertensive population with and without comorbidities of a longitudinal cohort in Barrackpore, West Bengal, India in Aug-Sept’2020. Comorbidities comprised with cardiovascular diseases, diabetes, asthma, OSA, BMI, epilepsy, stroke, arthritis, and cancer. Convenience sampling was considered to outline socio-demographics; chronic illness status; knowledge, attitude and practices; mood changes; and difficulties faced during lockdown. Association between variables have been conformed through multivariate logistic regression. Results: A total of 404 respondents, lone hypertensive 6.4%, hypertensive with other comorbidities 93.6%. Overall mean score of knowledge was 18.4 ± 5.2 (Range 1–23), practices 6.1 ± 1.1 (Range 2–8). Direct impacts on income 25.7%. Compliance of prescribed handwashing 93.3%, frequently hand sanitization 82.9%, using mask appropriately 91.1%, physical distancing 95.1%. Awareness of pandemic being contagious respiratory virus infection 97.8%, dispersion from human-to-human close contact 97.2%, curable 13.6%, could be fatal 4.5%, regarding symptoms 94.6%. Adverse impact due to the non-availability of medicine at home 4.5%, in pharmacy 2.2%; absence of doctors 9.4%; procured medicine at higher cost 6.2%; inaccessibility of transport 2.7%. On 3 or more drugs 33.2%, stored drugs 34.7%. Required and received medical advice due to polypharmacy 2.5%. Inadequate knowledge regarding 14-days isolation 4.5%; isolation and treatment reduce spread 2.7%; Lockdown was not an effective measure 11.4%; unconcerned regarding family members protection 34.2%; vaccine available in market 12.4%; and non-compliance of personal hygiene 6.2%. Pandemic still uncontrolled 14.4%. Multiple physical and sedentary activities less among hypertensive with comorbidities compared to lone hypertensives (AOR = 0.96, CI: 0.95, 0.97, p < .0001). Hypertensives with comorbidities expressed better knowledge and practices compared to lone hypertensives. Conclusions: Short term impact during lockdown on hypertensive with or without comorbidities individuals was not significant. For effective control of the pandemic each and every individual of the cohort needs fully to comply with the prescribed isolation regime, personal protective measures and physical distancing beside real understanding of preventive function of safe-effective vaccine for everyone when available.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.105
GPT teacher head0.383
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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