Obesity, metabolic abnormality, and health-related quality of life by gender: a cross-sectional study in Korean adults

High prevalence of abdominal obesities and metabolically unhealthy individuals in a highly urbanized district of India: findings of a cross-sectional survey in Puducherry

BACKGROUND

Abdominal obesities are better markers for predicting cardiovascular abnormalities than risk stratification based only on body mass index (BMI). We aimed to estimate the prevalence of abdominal adiposities using predictive equations for Asian Indian adults and to determine the prevalence of metabolically healthy subjects among those overweight/obese and with normal BMI.

METHODS

A community-based survey was conducted among those aged 18-69 years in the district of Puducherry between February 2019 and February 2020. We surveyed 2,560 individuals selected through multi-stage cluster random sampling from urban and rural areas (50 wards and 50 villages, respectively) of the district. Anthropometric measurements, such as height, weight, waist circumference, and blood pressure were recorded from each participant. Fasting blood sample was collected from each alternate participant to estimate metabolic risk factors.

RESULTS

Over four-fifths (85.6%; 95% CI: 84.2-86.9) and two-thirds (69.7%; 95% CI: 67.9-71.6) of the population in the district had high levels of intra-abdominal adipose tissue (IAAT) and total abdominal fat (TAF), respectively. Both the risk factors were significantly higher among women and urban population. About 43% (95% CI: 41-44.9) of the population had high abdominal subcutaneous adipose tissue (SCAT) with a significantly higher prevalence among the urban population. Among those overweight/obese (n = 773), almost all 99.4% (95% CI: 98.7-99.9) were metabolically unhealthy. Among subjects with normal BMI (n = 314), only about 2.9% (95% CI: 1.3-4.8) were metabolically healthy.

CONCLUSION

We highlight the substantially high prevalence of IAAT, TAF, and SCAT in the district of Puducherry. Almost all the study population was metabolically unhealthy irrespective of their BMI levels.

Mental health and quality of life in different obesity phenotypes: a systematic review

Objectives

It has been suggested that obesity phenotypes are related to mental health problems and health-related quality of life (HRQoL). However, there is no certain consensus. This systematic review aimed to evaluate the association between different obesity phenotypes with common psychiatric symptoms and HRQoL.

Methods

Electronic databases i.e. PubMed, Scopus, EMBASE, and google scholar were searched until September 2021, to identify studies that investigated associations between the obesity phenotypes with psychiatric symptoms and/or mental and physical HRQoL. Two researchers independently checked titles and abstracts, evaluated full-text studies, extracted data, and appraised their quality using the Newcastle–Ottawa Scale.

Results

Eighteen studies, with a total of 3,929,203 participants, were included. Of the studies included in this systematic review, 10 articles evaluated the association between obesity phenotypes and psychiatric symptoms, while six papers investigated the association between HRQoL and obesity phenotypes, and two studies assessed both. As a whole, the findings of these studies suggest that obese individuals with a favorable metabolic profile have a slightly higher risk of mental health problems and poor quality of life, however, the risk becomes larger when obesity is combined with an adverse metabolic profile. So, metabolically healthy obesity may not be a completely benign condition in relation to mental disorders and poor quality of life.

Conclusion

According to published research, obesity is likely to increase the risk of mental health problems and poor quality of life when metabolic disturbances are present.

Depression, anxiety and health status across different BMI classes: A representative study in Germany

BACKGROUND

Changes in body mass index (BMI) over the course of one's lifetime are related to the development of mental disorders. In the current study we compared symptoms of depression, generalized anxiety as well as general health status in the four BMI-classes: underweight, normal weight, overweight and obesity. Furthermore, mediator role of general health status on the relationship between BMI and depression and generalized anxiety was analyzed.

METHODS

A representative sample (random-route sampling) of the German population (N = 2350) was investigated in a cross-sectional survey by measuring the three questionnaires PHQ-9, GAD-7 and EQ-5D-5L.

RESULTS

The results showed significant differences between the four BMI-classes in all three questionnaires. Individuals with obesity demonstrated higher values in depression, anxiety and general health compared to the three other BMI-classes. However, there was no U-shaped association between BMI and depression, anxiety and health-related quality of life. Regarding to the mediation analysis, general health status fully mediated the association between BMI, depressive symptoms as well as generalized anxiety symptoms.

LIMITATIONS

The assessment of the three factors depression, anxiety and general health status were measured by questionnaires, but no clinical diagnoses can be provided.

CONCLUSIONS

Evidence supports that individuals with obesity have an increased risk for depression and anxiety as well as lower general health. Further research on potential intervention and strategies in public health policies is needed to be able to target the developing of mental disorders in individuals with obesity. Taking their general health status into account is also of great importance.

Metabolically healthy status and BMI in relation to depression: A systematic review of observational studies

AIM

Findings of association between metabolically healthy status and BMI and risk of depression are controversial. This study aimed to assess the relation between metabolically healthy status and BMI and depression.

METHODS

All published studies up to 25 June 2018 were searched by using the databases of PubMed, ISI Web of Science, SCOPUS and Google Scholar and following key words were used: metabolically AND (healthy OR unhealthy OR benign) AND (overweight OR obes* OR "over weight") AND phenotype AND (depression OR depress* OR "depressive disorder").

RESULTS

After screening title and abstract and considering inclusion criteria, 5 studies were found to be included in our study. Metabolically unhealthy obesity was associated with 30%-83% increased risk of depression and metabolically unhealthy non-obesity was associated with 19%-60% increased risk of depression. Metabolically healthy obesity was not associated with the risk of depression in all studies.

CONCLUSIONS

In conclusion, metabolically health status and BMI are associated with risk of depression. Metabolically unhealthy situation increased risk of depression greater than metabolically healthy status.

Double incontinence: associated factors and impact on the quality of life of women attended at a health referral service

Abstract Objective: To evaluate the prevalence, associated factors, and impact on quality of life of double incontinence in a group of women with urinary incontinence. Method: A cross-sectional study was performed, including female patients with urinary or double incontinence (urinary and fecal incontinence) treated at a tertiary hospital from the public healthcare system. Information about sociodemographic and clinical characteristics was collected, and quality of life was assessed using validated questionnaires. The Mann-Whitney, Chi-square, and Fisher tests were used to evaluate the association between the variables and the types of dysfunction (urinary or double incontinence) and a worse general health perception. Results: Of 227 incontinent women included in the study, 120 (52,9%) were older individuals. The prevalence of double incontinence was 14.1% (32 patients). Double incontinence was associated with a higher number of comorbidities (p-value=0.04), polypharmacy (p-value=0.04), and rectocele (p-valor=0.02). Higher BMI (p-value=0.02) and number of comorbidities (p-value=0.05), but not double incontinence (p-value=0.36), were associated with low general health perception scores. Conclusion: the prevalence of double incontinence was different from other studies conducted in similar scenarios. The group of women included in the study presented low general health perception scores, but this was not associated with the presence of double incontinence. A higher number of comorbidities was associated with both double incontinence and a lower general health perception.

The Prevalence of Metabolically Healthy and Unhealthy Obesity according to Different Criteria

OBJECTIVE

Obesity-related disease risks may vary depending on whether the subject has metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUO). At least 5 definitions/criteria of obesity and metabolic disorders have been documented in the literature, yielding uncertainties in a reliable international comparison of obesity phenotype prevalence. This report aims to compare differences in MHO and MUO prevalence according to the 5 most frequently used definitions.

METHODS

A random sample of 4,757 adults aged 35 years and older (male 51.1%) was enrolled. Obesity was defined either according to body mass index or waist circumference, and the definitions of metabolic abnormalities were derived from 5 different criteria.

RESULTS

In MHO, the highest prevalence was obtained when using the homeostasis model assessment (HOMA) criteria (13.6%), followed by the Chinese Diabetes Society (11.4%), Adult Treatment Panel III (10.3%), Wildman (5.2%), and Karelis (4.2%) criteria; however, the MUO prevalence had an opposite trend to MHO prevalence. The magnitude of differences in the age-specific prevalence of MHO and MUO varied greatly and ranked in different orders. The proportion of insulin resistance for MHO and MUO individuals differed significantly regardless of which metabolic criterion was used.

CONCLUSION

The prevalence of MHO and MUO in the Chinese population varies according to different definitions of obesity and metabolic disorders.

Which obesity phenotypes predict poor health-related quality of life in adult men and women? Tehran Lipid and Glucose Study

Purpose

This study aimed to explore the association between different obesity phenotypes and health-related quality of life (HRQoL) among Tehranian men and women.

Methods

The participants of this study were 2880 healthy adults (aged>19 years) who participated in Tehran Lipid and Glucose Study (TLGS). To obtain socio-demographic and HRQoL information, participants were interviewed by trained interviewers and were stratified by body mass index categories and metabolic status. Dysmetabolic status was defined as having either metabolic syndrome or diabetes according to the Joint Interim Statement definition and American Diabetes Association. Poor HRQoL was defined as the first quartile of HRQoL scores and logistic regression analysis was used to compare sex-specific odds ratios.

Results

Mean age of participants was 47.7±15.6 and 47.8±14.2 years in men and women respectively. The most and the least common obesity phenotypes were overweight-normal metabolic status and normal weight-dysmetabolic status, respectively. Only mean scores for physical HRQoL were significantly different among obesity phenotypes in both men and women (p<0.05). In addition, after adjusting for age, marital status, level of education, job status and physical activity, the odds of reporting poor physical HRQoL was significantly higher in men (OR: 1.960, 95% CI: 1.037–3.704; p<0.05) and women (OR: 2.887, 95% CI: 1.674–4.977; p<0.001) with obese-dysmetabolic status, compared to their counterparts with normal weight-normal metabolic status. However, except for overweight-normal metabolic women, who were less likely to report poor mental HRQoL (OR: 0.638, 95% CI: 0.415–0.981; p<0.05), none of the phenotypes were associated with poor mental HRQoL in either gender.

Conclusions

Compared to those with normal weight normal metabolic status, only obese dysmetabolic individuals were more likely to report poor physical HRQoL in both genders.

Metabolic Correlates of Health-Related Quality of Life in Patients With Type 2 Diabetes Mellitus

BACKGROUND

The increasing prevalence of type 2 diabetes mellitus (T2DM) and associated metabolic complications lead to the development of a syndrome known as "metabolic syndrome" (MetS), which is considered as one of the major risk factor not only for the development of cardiovascular diseases but also have a great impact on the quality of life.

RESEARCH DESIGN AND METHODS

A descriptive, observational study involving the recruitment of patients with T2DM with and without MetS was carried out in outpatient department of endocrinology. The MetS was defined as per the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) criteria. Patients with T2DM were screened as per the American Diabetes Association (ADA; ie, fasting blood glucose [FBG] ≥ 126 mg/dL) and who were using oral antidiabetic drugs. Short Form-36 (SF-36) was used to assess the health-related quality of life (HRQoL).

RESULTS

Patients were grouped as T2DM with MetS (n = 100) and T2DM without MetS (n = 100). A greater significant decline was observed in physical component summary (PCS) and mental component summary (MCS) in patients with T2DM with MetS as compared to patients without MetS (P ≤ .05). Multiple linear regression analysis revealed that in patients with T2DM having MetS, age and waist circumference (WC) are independent predictors for worsening of both PCS and MCS aspects of health-related quality of life (HRQOL). In addition, high triglycerides and raised FBG were found to be correlated with the decline in PCS and MCS, respectively.

CONCLUSION

The study demonstrated that patients with T2DM with MetS have overall poor HRQOL as compared to patients with T2DM without MetS.

Physical health-related quality of life in relation to metabolic health and obesity among men and women in Germany

Background

This study examined sex-specific differences in physical health-related quality of life (HRQoL) across subgroups of metabolic health and obesity. We specifically asked whether (1) obesity is related to lower HRQoL independent of metabolic health status and potential confounders, and (2) whether associations are similar in men and women.

Methods

We used cross-sectional data from the German Health Interview and Examination Survey 2008–11. Physical HRQoL was measured using the Short Form-36 version 2 physical component summary (PCS) score. Based on harmonized ATPIII criteria for the definition of the metabolic health and a body mass index ≥ 30 kg/m² to define obesity, individuals were classified as metabolically healthy non-obese (MHNO), metabolically unhealthy non-obese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). Sex-specific analyses including multivariable linear regression analyses were based on PCS as the dependent variable, metabolic health and obesity category as the independent variable with three categories and MHNO as the reference, and age, education, lifestyle and comorbidities as confounders.

Results

This study included 6860 participants (3298 men, 3562 women). Compared to MHNO, all other metabolic health and obesity categories had significantly lower PCS in both sexes. As reflected by the beta coefficients [95% confidence interval] from bivariable linear regression models, a significant inverse association with PCS was strongest for MUO (men: −7.0 [−8.2; −5.8]; women: −9.0 [−10.2; −7.9]), intermediate for MUNO (men: −4.2 [−5.3; −3.1]; women: −5.6 [−6.8; −4.4]) and least pronounced for MHO (men: −2.2 [−3.6; −0.8]; women −3.9 [−5.4; −2.5]). Differences in relation to MHNO remained statistically significant for all groups after adjusting for confounders, but decreased in particular for MUNO (men:–1.3 [−2.3; −0.3]; women: −1.5 [−2.7; −0.3].

Conclusions

Obesity was significantly related to lower physical HRQoL, independent of metabolic health status. Potential confounders including age, educational status, health-related behaviors, and comorbidities explained parts of the inverse relationship. Associations were evident in both sexes and consistently more pronounced among women than men.

Electronic supplementary material

The online version of this article (doi:10.1186/s12955-017-0688-7) contains supplementary material, which is available to authorized users.

EQ-5D-5L in the General German Population: Comparison and Evaluation of Three Yearly Cross-Section Surveys

Health-related quality of life (HRQoL) is a key measure for evaluating health status in populations. Using the recent EQ-5D-5L for measurement, this study analyzed quality of life results and their stability over consecutive population surveys. Three cross-section surveys for representative samples of the general German population from 2012, 2013, and 2014 were evaluated using the EQ-5D-5L descriptive system and valuation by the Visual Analog Scale (VAS). Aggregated sample size reached 6074. The dimension with the highest prevalence of problems was pain/discomfort (31.7%). Compared with 2012 (59.3%), the percentage of participants in the best health state increased slightly in 2013 (63.4%) and 2014 (62%). Over the 3-year period, diabetes and heart disease had the strongest negative influence on mean VAS result. The number of reported chronic diseases cumulatively reduced mean VAS. Extreme problems in one or more dimensions were stated by only 0.1%–0.2% of patients. Of the potential 247 health states with a problem score ≥20, only six were observed in the aggregated sample. HRQoL results were fairly stable over the 3 years, but the share of the population with no problems was not. Results from the aggregated sample may serve as updated reference values for the general German population.