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Sleep Less, Weigh More: Unraveling the Sleep-Obesity Connection in Adult Putri, Az’yan Nazwa Maharani; Yuliyanti, Rahmah Dwi; Sitasari, Almira; Wijanarka, Agus; Attawet, Jutharat; Siswati, Tri
Ficco Public Health Journal Vol. 2 No. 01 (2025): April 2025
Publisher : Ficco Scientific Corner

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15308294

Abstract

Background: Obesity is an increasingly complex and common global health problem, especially among adults. The aim of this scoping review is to examine the relationship between sleep duration and obesity in adults.  Methods: A scoping review was conducted following the Joanna Briggs Institute (JBI) methodology guideline. Databases including PUBMED, ScienceDirect, DOAJ, and ResearchGate were searched in 2024 with the keywords "obesity AND sleep AND adults". Articles published between 2019 and 2023 that focused on observational studies. Results: Of the 2960 articles found, 7 articles met the inclusion criteria. A cross-sectional research design was used by 86% of the studies, while only 14% were enrolled in cohort studies. The majority of studies showed a significant correlation between short-term and long-term sleep duration and the likelihood of becoming obese. The assessment tools used were extensive and included interviews, questionnaires, and sleep monitors such as the Actiwatch Spectrum. The obesity assessment indicators used are Body Mass Index (BMI) and waistline. Conclusions: The review suggests that adults whose sleep is too short or too long are more likely to be obese. Lack of sleep can trigger hormonal changes, stimulate appetite, and result in obesity.
Risk factors associated with metabolic syndrome in older people in slum areas: a cross-sectional study Supadmi, Sri; Khairunnisa, Marizka; Kusrini, Ina; Wijanarka, Agus; Kuntari, Titik; Purwoko, Sidiq; Hidayat, Taufiq; Suwarno, Tri; Riyanto, Slamet
Jurnal Ners Vol. 20 No. 4 (2025): VOLUME 20 ISSUE 4 (NOVEMBER 2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jn.v20i4.66748

Abstract

Introduction: Older people are at high risk of metabolic syndrome (MetS), non-communicable diseases, and mortality. This makes it difficult for older people in slum areas to achieve healthy and productive quality of life (QOL). In Indonesia, a developing country with a significant and growing number of slum areas, research on this issue remains scarce.  This study aimed to analyze the risk factors that play a role in the incidence of MetS in older people living in slum areas. Methods: This was a cross-sectional study. The participants were male and female residents aged ≥45 years, with a total sample size of 150. The participants were selected through simple random sampling from a list of older people. Data analysis was performed using the chi-squared test for bivariate analysis and binary logistic regression for multivariate analysis. Results: The majority of the participants were female (62%), aged between 60-74 years (53.33%), with low-level education (86%), nutritional status in the overweight and obese categories (41.4%), and residence duration <5 years (70%). There was a significant association between district (p < 0.001) and body mass index (BMI) (p < 0.001) with MetS. Overweight participants were more likely to have MetS (AOR 3.75; 95%CI, 1.37-10.24), and the risk was higher among those with obesity (AOR 11.85; 95%CI, 3.90-35.97). Conclusions: The risk of MetS in slum dwellers is higher if they are overweight or obese. Periodic evaluation of body weight can help to control the incidence of MetS.