Predictors of Chronic Energy Deficiency in Urban Geriatric Population: Findings from Community Based Study.

Background/Objectives: Increased longevity and declining fertility have increased the number of older population globally. Several factors make older population vulnerable to malnutrition. The purpose of this study was to find out predictors of Chronic Energy Deficiency (CED) of geriatric subjects....

Full description

Bibliographic Details
Published in:Online Journal of Health & Allied Sciences Vol. 23; no. 2; pp. 1 - 6
Main Authors: Keshari, Priya, Shankar, Hari
Format: research tables/charts Journal Article
Published: Online Journal of Health & Allied Sciences Apr-Jun2024
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179402528&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 179402528
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09725997
        1CZ9
      jtl: Online Journal of Health & Allied Sciences
      issn: 09725997
      maglogo: N
    pubinfo:
      dt: Apr-Jun2024
      vid: 23
      iid: 2
      pid: 24739
      pub: Online Journal of Health & Allied Sciences
    artinfo:
      ui:
        179402528
        179402528
        179402528
        179402528
      ppf: 1
      ppct: 5
      formats:
      tig:
        atl: Predictors of Chronic Energy Deficiency in Urban Geriatric Population: Findings from Community Based Study.
      aug:
        au:
          Keshari, Priya
          Shankar, Hari
        affil: Assistant Professor, Department of Family and Community Sciences, Faculty of Sciences, University of Allahabad, Prayagraj, India.
      sug:
        subj:
          Chronic Disease Risk Factors
          Deficiency Diseases Risk Factors
          Energy Metabolism In Old Age
          Risk Assessment
          Urban Population
          Human
          Descriptive Statistics
          Data Analysis Software
          Confidence Intervals
          Odds Ratio
          Body Mass Index
          Nutritional Status
          Social Class
          Pearson's Correlation Coefficient
          Chi Square Test
          Male
          Female
          Middle Age
          Aged
          Aged, 80 and Over
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Background/Objectives: Increased longevity and declining fertility have increased the number of older population globally. Several factors make older population vulnerable to malnutrition. The purpose of this study was to find out predictors of Chronic Energy Deficiency (CED) of geriatric subjects. Materials and Methods: This study was conducted on 616 urban subjects (≥ 60 years) by adopting community based cross sectional design. Socioeconomic characteristics of the subjects was obtained by interviewing them using interview schedule. Their weight and height were recorded following standard technique. A subject with Body Mass Index <18.5 kg/m2 was considered as victim of CED. Data analysis was done using SPSS version 22.0. For inferential purpose Adjusted Odds Ratios and 95% Confidence Interval were computed. Results: In all 44.8% subjects had CED. Age, religion, literacy status, and Socio Economic Status emerged as predictors of CED. Adjusted Odds Ratio (AOR) for CED was 4.05 (95% CI: 1.52- 10.77) in > 80 years and 2.20 (95%CI: 1.4-4.43) in 70-79 years age group. AOR for Muslims was 2.16 (95%CI: 1.31-3.56) for CED. Taking educational status intermediate and above as reference AOR for CED for illiterate and just literate was 2.53(95% CI: 1.10-5.81) and for primary plus middle was 2.42(95%CI 1.08-5.44). For subjects from lower socio economic status AOR was 1.74(95%CI: 1.02-2.96). Conclusion: Age, religion, literacy status and socioeconomic status were predictors of CED in geriatric subjects.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N