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. 2022 May;11(5):2026-2031.
doi: 10.4103/jfmpc.jfmpc_1787_21. Epub 2022 May 14.

Poor sleep and the metabolic derangements associated with obesity in adult males

Affiliations

Poor sleep and the metabolic derangements associated with obesity in adult males

Annu Ankita et al. J Family Med Prim Care. 2022 May.

Abstract

Context: Short sleep and obesity have a causal association with each other. Obesity is also associated with metabolic imbalances. However, a subset of 20%-30% of obese population have only few metabolic complications, known as metabolically healthy obese (MHO) and rest with worsened metabolic profile are known as metabolically abnormal obese (MAO).

Aims: To find the association between sleep quality and metabolic health of adult obese males.

Settings and design: The study was a cross-sectional study conducted at medicine out-patient department of the institute.

Methods and material: In this study, hundred adult obese males of age group 25-60 years, with Body mass index (BMI) ≥ 25 Kg/m2, were divided into MHO and MAO, based on their metabolic health using Joint Interim criteria. Sleep quality was assessed using Pittsburgh sleep questionnaire index (PSQI).

Statistical analysis used: The data obtained were analyzed using PAST statistical software.

Results: The two groups MHO and MAO presented with significant differences in their mean age and BMI (P = 0.0001). The global score of PSQI was significantly high for MAO than MHO with mean values of 8.24 ± 3.60 and 6.65 ± 3.58, respectively (P = 0.016). Sleep disturbances score was significantly high in MAO (P = 0.0001). Significant associations were observed for global score with age, BMI, waist circumference, fasting blood sugar, and triglycerides.

Conclusions: Poor sleep quality was significantly associated with detrimental metabolic profile and BMI. The metabolic health worsened with increasing age and obesity.

Keywords: Metabolic syndrome; obesity; sleep.

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Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
Box and Whisker plot for the Global scores of PSQI in subjects grouped as per the numbers of positive Joint Interim Criteria components. Numbers of subjects are shown in large blue dots with numbers presented in respective heights from the baseline
Figure 2
Figure 2
Percentage stacked column of individuals based on the distribution of their sleep quality. Each column represents the distribution of subjects as per single positive components of Joint Interim Criteria (JIC)
Figure 3
Figure 3
Scattered plot for number positive components of Joint Interim Criteria (JIC) against the age of the participants

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