The association between healthy beverage index and quality of life among overweight and obese women: a cross-sectional study

Abstract

Background Although several studies have evaluated the association between patterns of beverage consumption with different components of quality of life separately, the findings are controversial. In addition, none have examined all components of quality of life together in relation to patterns of beverage consumption. Therefore, this study was conducted to identify the association between healthy beverage index (HBI) and quality of life among overweight and obese women. Methods For this cross-sectional study, 210 obese and overweight women were recruited from health centers in Tehran, Iran. Using reliable and verified standard protocols, data on beverage intake, socio-demographic, physical activity, and anthropometric variables were assessed. Based on past studies, the predetermined HBI was estimated. Serum samples were used to determine biochemical characteristics, and quality of life was assessed using SF-36 questionnaires. Results There was a significant association between total QoL score with T2 tertile of HBI in the adjusted model (β: 13.11, 95% CI: 1.52, 24.69, p-value = 0.027). General health had a significant negative association with T2 (β: -5.83; 95% CI: − 11.48, − 0.18; p-value = 0.043) and T3 (β: -6.20; 95% CI: − 12.37, − 0.03; p-value = 0.049). Women with greater adherence to the HBI had a higher physical functioning score, and there was a significant upward trend from the second to the third tertile (7.74 vs 0.62) (−trend = 0.036). There was a significant positive association between mental health with T3 of HBI (β: 4.26; 95% CI: 1.51, 5.98; p-value = 0.015) and a significant increasing trend was observed with increasing tertiles (P-trend = 0.045). Conclusion In conclusion, there is a significant association between total QoL score, and its components, with HBI among overweight and obese women. However, additional well-designed studies are needed to confirm these findings.

Frontal Lobe Functions and Quality of Life in Individuals with Obesity with and without Binge Eating Disorder

“…The results of the present study are in line with Vancampfort et al [53], who reported that QoL can be particularly poorer in women with BED compared to men with BED. According to Castanha et al (2018), the effects of obesity impact an individual's quality of life (QoL), whose indicators are characterized by lower social interaction, low self-esteem, social isolation, stress, and mental illnesses [45,47,48]. Appolinario et al [51], Giel et al [10], Singleton et al [52], and Vancampfort et al [53] also mentioned that individuals with BED experience more comorbid mental health problems, more specifically, depression [49] and anxiety disorders [50].…”

“…In a recent study, an association between QoL and its components in women with overweight and obesity was found. It seems that overweight women, in comparison to NW individuals, tend to express a lower QoL [47]. Chu et al [48] found differences, similarly, in the QoL between women with and without obesity.…”

Effects of Different Intensity of Work Physical Activity on Sleep Disorder in Patients with Cholesterol

“…(3) The research results of Niloufar Rasaei et al on the cholesterol/Saturated fat acid index CSI and sleep quality of overweight and obese women in 2023 show that people with higher CSI units are more likely to have sleep problems. (4) We can see that high cholesterol levels have a certain impact on the sleep of different people, causing insomnia, sleep apnea syndrome and other diseases, while sleep disorder will induce the risk of high cholesterol, causing Atherosclerosis and other diseases, seriously affecting people’s health. Therefore, we chose the special population of high cholesterol patients as the research object.…”

The interaction between MALAT1 and TUG1 with dietary fatty acid quality indices on visceral adiposity index and body adiposity index

“…One of the main contributors to global non-communicable diseases and mortality is the rising incidence of obesity 1 – 3 . Estimates suggest that by 2030, one billion people worldwide, comprising one in seven males and one in five females, will be affected by obesity 4 .…”