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Physical health Composite Score (PCS)* by physical activity in men (N = 9276) and women (N = 10433) in the Hordaland Health Study. Physical activity is calculated as a weighted sum of hard and light physical activity with 3 corresponding to no light and hard physical activity and 12 corresponding to . 3 hours/week of both light and hard physical activity. * Mean scores and 95% confidence interval based on raw scores. Similar effects were found after adjustment for confounding factors (body mass index, bodyweight changes and smoking). doi:10.1371/journal.pone.0110173.g001
Source publication
There is lack of studies investigating the association between bodyweight changes and health related quality of life (HRQL). The aim was to study the effect of relative changes in bodyweight over time on HRQL. In the Hordaland Health Study, 9276 men and 10433 women aged 40-47 years were included. Weight and height were measured and information on b...
Context in source publication
Context 1
... found a significant interaction between gender and physical activity on PCS, showing that the effect of physical functioning was stronger among women than among men (Figure 1). No significant interaction effects were found for MCS (Figure 2) and no significant difference in the effect between men and women were found for any of the other covariates. ...
Citations
... Most of the evidence on the association, if any, between HRQoL and adiposity comes from high-income countries in North America and Europe [7,9,10,21]. Evidence from East Asia also tends to be for high-income countries [12,[19][20][21][22]. Lack of evidence on the HRQoL-adiposity association in low-and middle-countries (LMIC) in Asia, and elsewhere, is limiting given the rising prevalence of obesity in these countries [23,24]. ...
... Most of the evidence on the association, if any, between HRQoL and adiposity comes from high-income countries in North America and Europe [7,9,10,21]. Evidence from East Asia also tends to be for high-income countries [12,[19][20][21][22]. Lack of evidence on the HRQoL-adiposity association in low-and middle-countries (LMIC) in Asia, and elsewhere, is limiting given the rising prevalence of obesity in these countries [23,24]. ...
... Most studies of the HRQoL-adiposity relationship have used the RAND 36-item Short Form Health Survey (SF-36) to measure HRQoL and the body mass index (BMI) to measure adiposity [7,11,12,15,[17][18][19][27][28][29]. Many found a negative relationship between physical health, measured by the SF-36 physical component score, and BMI [11,12,15,17,[18][19][20][21]. Evidence is more mixed on the relationship between the mental health component score and BMI [7,12,14,15,17,18,20,21]. ...
Objective
Estimate associations between the health-related quality of life (HRQoL) and adiposity in a low-income population.
Methods
In a cluster random sample of 3796 Filipinos aged 40–70 years in Nueva Ecija province, we measured body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and six dimensions of HRQoL using the 20-item Short Form Health Survey. We stratified by sex and used nonparametric regression to graph mean HRQoL in each dimension by BMI, WC, and WHR. We used ordinary least squares regression to estimate differences in each HRQoL dimension by categories of BMI, WC, and WHR adjusted for sociodemographic characteristics and smoking.
Results
Mean HRQoL was lowest for health perception (Males: 67.5 (SD = 15.9); Females: 66.7 (15.8)) and highest for role functioning (Males: 97.5 (12.9); Females: 97.4 (13.3)). Mean (SD) values of BMI, WC, and WHR were 22.1 (3.6), 84.8 cm (9.5), and 0.9 (0.1), respectively for males, and 23.7 (4.2), 86.5 cm (10.2), and 0.9 (0.1), respectively, for females. There was no evidence that higher BMI was associated with lower HRQoL. Adjusted mean social functioning was 4.92 (p = 0.076) higher for males with high BMI risk (8.6% prevalence) compared with acceptable BMI risk (50.3%). Mean social functioning was 3.61 (p = 0.012) and 5.48 (p = 0.017) lower for females with high WC (44.7%) and WHR (83.1%), respectively, compared with those with low WC (23.8%) and WHR (3.6%). Mean physical functioning was lower by 2.70 (p = 0.204) and 1.07 (p = 0.198) for males and females, respectively, with high compared with low WC. Mean physical functioning was 3.93 (p = 0.037) lower for males with high (7.6%) compared with low (38.8%) WHR. Mean role functioning was 1.09 (p = 0.124) and 2.46 (p = 0.158) lower for males with borderline and high WHR, respectively.
Conclusions
There is discordance between future adiposity-related health risk and current experience of HRQoL.
... The stages of reproductive aging workshop (STRAW) has defined seven steps in the chain of reproductive aging, which start from the reproductive years until the transition to menopause, during the menopause stage, and in the post-menopause period (6). According to the literature, reduced estrogen during the transition to menopause causes various symptoms in women (7), such as urinary difficulties (8), vasomotor alterations (9), changes in the bleeding pattern (10), nocturnal fatigue, cheerlessness, anxiety, headaches, loss of memory, insomnia (11), night sweats, reduced sexual activity, and reduced social/leisure activities (12). The effects of these symptoms on the health and the quality of life of postmenopausal women often become apparent before entering the menopause stage (10,13,14). ...
Background: The recognition of the influential factors in the reduction of quality of life and health status in women is essential to their empowerment. Objectives: The present study aimed to investigate the correlations between body mass index (BMI), quality of life, the severity of menopausal symptoms in women during menopause. Methods: This cross-sectional study was conducted on 136 women transiting to menopause, who referred to the main health centers in Javanrood city, Iran. The subjects were selected via random sampling. MEN-QOL was used to measure the specific quality of life of the women, and the severity of menopausal symptoms was determined using the MRS questionnaire. Results: BMI could significantly predict the severity of menopausal symptoms, dimensions of quality of life (vasomotor, psychosocial, physical, and sexual symptoms), and total score of quality of life during the transition to menopause (P < 0.05). In addition, a significant correlation was observed between the severity of menopausal symptoms and BMI during menopause (P = 0.002). Conclusions: According to the results, BMI could predict the quality of life and severity of menopausal symptoms in women during menopause.
... The inverse U-shape relation between the weight status measured by BMI and the quality of life was found in the US population ( Laxy et al. 2017). A similar pattern was observed in the Norwegian population aged 40-49, with changes in BMI measured by self-reported questionnaire and health-related quality of life measured by SF-36 (Hervik Thorbjørnsen et al. 2014). ...
The study aimed to verify an association between changes in body mass index (BMI) and quality of life (QoL) in a 4-year follow-up in a population-based study in Poland. The results covered data from 1557 adults from the general Polish population who participated in the follow-up survey, performed in two waves: 2011 (COURAGE in Europe); 2015/2016 (COURAGE-POLFUS). Anthropometric measurements and a structured questionnaire including the WHOQOL-AGE scale were used. Regression models were applied to verify whether the observed BMI–QoL association is linear or U-shaped. The inverse U-shaped association between BMI changes and QoL among Polish adults was found using a univariable model. This association was observed in women, whereas in men a linear relationship was found. At the population level, weight loss (BMI decrease of 5–10%) was associated with better QoL in healthy people. The reverse was true in sick people, whose weight loss was observed to be an indicator of poorer QoL. In conclusion, the study suggests an inverse U-shaped association between BMI and quality of life. Better QoL may be considered an additional benefit of public weight loss programs for healthy adults. Further studies focusing on people with some chronic diseases are needed.
... The association between obesity and HRQoL, defined as the individual's subjective evaluation of their physical and mental wellbeing is well documented. While most studies report the adverse associations between overweight and HRQoL mainly in the physical domain [20][21][22] there are limited findings available indicating that both the physical and mental aspects of HRQoL are adversely affected by excessive weight gain in different populations [21,23]. In this regard a meta-analysis showed that physical HRQoL could be reduced in adults with different categories of obesity, although mental HRQoL was only affected by severe obesity status [24]. ...
... Despite previous evidence confirming the relation of obesity [20][21][22][23][24][25][26][27][28] and cardio-metabolic risk factors [29][30][31][32][33] with different aspects of HRQoL, only few studies have investigated the cumulative influence of weight and metabolic conditions on the self-evaluated health status of participants. In this regard the association between metabolic syndrome (a cluster of cardio metabolic risk factors including central obesity) and HRQoL, has been previously demonstrated [34][35][36]; however, there are only three studies that have focused on the relation of HRQoL with obesity phenotypes, with different metabolic conditions and levels of general obesity [37][38][39]; in this regard, one cross sectional study, conducted on a Scottish population showed an independent metabolic association between HRQoL and obesity [37]. ...
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.
Objective:
To examine associations of objectively-measured free-living physical activity (PA) with changes in depressive symptoms and mental and physical health-related quality of life (HRQoL) over 7 years following Roux-en-Y gastric bypass surgery (RYGB).
Background:
The contributions of PA to improvements in mental and physical health following RYGB, independent of weight loss, are unclear.
Methods:
Adults undergoing RYGB in a US multi-center cohort study wore an activity monitor and completed the Beck Depression Inventory (BDI) and 36-Item Short Form Health Survey (SF-36) annually ≤7 years (N = 646; 78% female, median age 47 years, median BMI 46 kg/m). Linear mixed models estimated associations of quartiles of steps, sedentary behavior (SB), and moderate-to-vigorous intensity physical activity (MVPA), respectively, with pre-to-post-surgery changes in the BDI and SF-36 Mental Component Summary (MCS) and Physical Component Summary (PCS) scores, respectively, over 1-7 years post-surgery, with adjustment for sex, age, race, pre-surgery body mass index, the respective pre-surgery score, treatment for depression (time-varying) and pre-to-post-surgery weight change (time-varying).
Results:
There were dose-response associations between steps, SB (inverse) and MVPA quartiles, respectively, with improvements in each score. Across follow-up, mean improvements in the BDI, MCS and PCS scores, were 1.9 (95%CI, 1.0-2.8), 3.1 (95%CI, 1.5-4.7), and 4.0 (95%CI, 2.7-5.4) points higher, respectively, in the highest versus lowest steps quartile.
Conclusion:
Among adults who underwent RYGB, multiple objective PA measures were associated with decreases in depressive symptoms and improvements in mental and physical HRQoL throughout 7 years, independent of weight loss, indicating PA is a modifiable behavior to augment outcomes.
