Self-reported Body Weight Research Articles

Doubly labelled water-calibrated energy intake associations with mortality risk among older adults.

The body mass index (BMI) is closely related to mortality risk, and energy intake (EI) is essential for maintaining energy balance in weight control. However, self-reported EI has been shown to lead to a systematic underestimation. Total energy expenditure measured using the doubly labelled water (DLW) method is considered an objective biomarker of EI and the gold standard for its estimation in individuals with stable body weight. We aimed to examine the association between DLW-calibrated EI and BMI on overall mortality risk in older adults. A prospective cohort study was performed using data of 8051 (4267 women and 3784 men) Japanese older adults from the Kyoto-Kameoka Study in Japan. Calibrated EI was calculated from the estimated EI using a food frequency questionnaire and equation developed based on DLW. Participants were classified by quartiles based on their EI stratified by sex. BMI was calculated using self-reported height and body weight. Mortality data were collected between 30 July 2011 and 30 November 2016. Statistical analysis was performed using the multivariable-adjusted Cox proportional hazard model with a restricted cubic spline. The 8051 participants' mean (standard deviation) age and BMI were 73.5 (6.1) years and 22.6 (3.0) kg/m2 , respectively. The mean (standard deviation) EI with and without calibration was 1909 (145) kcal/day and 1569 (358) kcal/day in women and 2383 (160) kcal/day and 1980 (515) kcal/day in men, respectively. During the median 4.75years of follow-up (36552 person-years), 661 deaths were recorded. In both women (hazard ratio [HR], 0.63; 95% confidence interval [CI] [0.41, 0.98]) and men (HR, 0.62; 95% CI [0.44, 0.87]), after adjusting for confounders, the top quartile as compared with the bottom calibrated EI quartile showed a negative association with risk of all-cause mortality. The lowest HR for all-cause mortality was 1900-2000kcal/day in women and 2400-2600kcal/day in men. However, after adjusting for BMI, no significant association was observed between the calibrated EI and the risk of death. These associations could not be confirmed in the uncalibrated EI. The HR for mortality was minimal at a BMI of 23kg/m2 in both men and women, with or without adjustment for the calibrated EI. Calibrated EI was negatively associated with mortality risk but not uncalibrated EI. This may be mediated by an increase in body weight over time. Caution is required when interpreting the association between EI and mortality risk without adjusting for self-reported measurement errors and outcomes.

Body mass index associates with amyotrophic lateral sclerosis survival and metabolomic profiles.

Body mass index (BMI) is linked to amyotrophic lateral sclerosis (ALS) risk and prognosis, but additional research is needed. The aim of this study was to identify whether and when historical changes in BMI occurred in ALS participants, how these longer term trajectories associated with survival, and whether metabolomic profiles provided insight into potential mechanisms. ALS and control participants self-reported body height and weight 10 (reference) and 5 years earlier, and at study entry (diagnosis for ALS participants). Generalized estimating equations evaluated differences in BMI trajectories between cases and controls. ALS survival was evaluated by BMI trajectory group using accelerated failure time models. BMI trajectories and survival associations were explored using published metabolomic profiling and correlation networks. Ten-year BMI trends differed between ALS and controls, with BMI loss in the 5 years before diagnosis despite BMI gains 10 to 5 years beforehand in both groups. An overall 10-year drop in BMI associated with a 27.1% decrease in ALS survival (P= .010). Metabolomic networks in ALS participants showed dysregulation in sphingomyelin, bile acid, and plasmalogen subpathways. ALS participants lost weight in the 5-year period before enrollment. BMI trajectories had three distinct groups and the group with significant weight loss in the past 10 years had the worst survival. Participants with a high BMI and increase in weight in the 10 years before symptom onset also had shorter survival. Certain metabolomics profiles were associated with the BMI trajectories. Replicating these findings in prospective cohorts is warranted.

The relationship between pre-pregnancy BMI and energy and macronutrients intakes during pregnancy in women from Yucatan, Mexico

In this observational study, our aim was to analyse the association between pre-pregnancy BMI and adequacy rates of energy and macronutrient intakes in a sample of pregnant women from Yucatan, Mexico. From September to December 2019, we collected data on socioeconomic, pregnancy, and dietary characteristics, and took anthropometric measurements of women during household visits. Pre-pregnancy BMI was calculated from measured height and self-reported body weight. Energy and macronutrient intakes (obtained from three 24-h dietary recalls) were compared with the estimated trimester-specific requirements to calculate adequacies (%). Multiple linear regression models showed that after accounting for maternal socioeconomic characteristics and perinatal variables, each unit increase in pre-pregnancy BMI was associated with decreases of 2%, 2%, and 2.6% in energy, carbohydrate, and total fat intakes, respectively. These results were significant when under- and over-reporters were excluded from the analyses. Women who enter pregnancy with higher BMI values may voluntarily or involuntarily reduce their food intake. IMPACT STATEMENT What is already know about this subject? Some studies have analysed the relationship between pre-pregnancy BMI categories (normal weight, overweight, and obesity) and diet quality during pregnancy, but few studies have focussed on quantitative energy and macronutrient intakes or their adequacies in relation to pre-pregnancy BMI. What do the results of this study contribute? In this sample of Mexican women belonging to a middle socioeconomic status, we found that after excluding under- and over-reporters from the analyses and accounting for maternal socioeconomic characteristics and perinatal variables, BMI was negatively associated with adequacy intake rates of energy, carbohydrates, and total fats during pregnancy. What are the implications of these findings for clinical practice and/or further research? Women who enter pregnancy with higher BMI values may voluntarily or involuntarily reduce their food intake. These results can be used to accordingly plan diet counselling during pregnancy.

Sex disparities in food consumption patterns, dietary diversity and determinants of self-reported body weight changes before and amid the COVID-19 pandemic in 10 Arab countries.

The COVID-19 pandemic along with its confinement period boosted lifestyle modifications and impacted women and men differently which exacerbated existing gender inequalities. The main objective of this paper is to assess the gender-based differentials in food consumption patterns, dietary diversity and the determinants favoring weight change before and amid the COVID-19 pandemic among Arab men and women from 10 Arab countries. A cross-sectional study was conducted based on a convenience sample of 12,447 households' family members (mean age: 33.2 ± 12.9; 50.1% females) and information from participants aged 18 years and above was collected about periods before and during the pandemic. Findings showed that, during the COVID-19 period, the dietary diversity, declined by 1.9% among females compared to males (0.4%) (p < 0.001) and by 1.5% among overweight participants (p < 0.001) compared to their counterparts. To conclude, gender-sensitive strategies and policies to address weight gain and dietary diversity during emergent shocks and pandemics are urgently needed in the region.

Evaluation of two weight stigma scales in Malaysian university students: weight self-stigma questionnaire and perceived weight stigma scale.

This study aimed to examine the psychometric properties of the Weight Self-Stigma Questionnaire (WSSQ) and Perceived Weight Stigma Scale (PWS) among Malaysian university students. University students who were studying in a Malaysia university with a mean age of 24.0years (n = 380; females 71.6%) were recruited through convenience sampling between 19 August and 30 September 2021. They completed a Google Form consisting of information on sociodemographic background, weight stigma, psychological distress and self-reported body weight and height. Psychometric testing was conducted using the classical test theory(including confirmatory factor analysis) and Rasch models to confirm the two-factor structure of WSSQ and the unidimensional structure of the PWS using the various fit indices. Concurrent validity of the total scores of WSSQ and PWS with psychological distress and body mass index (BMI)was also investigated. Internal consistency using Cronbach's alpha was conducted. The confirmatory factor analyses and Rasch analyses verified the two-factor structure for the WSSQ and the single-factor structure for the PWS. Both the WSSQ and PWS showed good internal consistency and good concurrent validity as demonstrated by their significant correlations with psychological distress and BMI. The WSSQ and PWS have strong validity and reliability, and they can both be used to assess weight stigma among Malaysian university students. V: Descriptive study.

Gender differences in bodyweight change following COVID-19 lockdown measures in the Netherlands: a prospective longitudinal study

BackgroundThe current study aimed to prospectively assess bodyweight change following the implementation of lockdown measures to contain the COVID-19 pandemic in the Netherlands and to explore the potentially moderating role...

Effects of adding a diet intervention to exercise on hip osteoarthritis pain: protocol for the ECHO randomized controlled trial

BackgroundHip osteoarthritis (OA) is a leading cause of musculoskeletal pain. Exercise is a core recommended treatment. Despite some clinical guidelines also recommending weight loss for hip OA, there is no evidence from randomised controlled trials (RCT) to substantiate these recommendations. This superiority, 2-group, parallel RCT will compare a combined diet and exercise program to an exercise only program, over 6 months.MethodsOne hundred people with symptomatic and radiographic hip OA will be recruited from the community. Following baseline assessment, participants will be randomly allocated to either, i) diet and exercise or; ii) exercise only. Participants in the diet and exercise group will have six consultations with a dietitian and five consultations with a physiotherapist via videoconferencing over 6 months. The exercise only group will have five consultations with a physiotherapist via videoconferencing over 6 months. The exercise program for both groups will include prescription of strengthening exercise and a physical activity plan, advice about OA management and additional educational resources. The diet intervention includes prescription of a ketogenic very low-calorie diet with meal replacements and educational resources to support weight loss and healthy eating. Primary outcome is self-reported hip pain via an 11-point numeric rating scale (0 = ‘no pain’ and 10 = ‘worst pain possible’) at 6 months. Secondary outcomes include self-reported body weight (at 0, 6 and 12 months) and body mass index (at 0, 6 and 12 months), visceral fat (measured using dual energy x-ray absorptiometry at 0 and 6 months), pain, physical function, quality of life (all measured using subscales of the Hip Osteoarthritis Outcome Scale at 0, 6 and 12 months), and change in pain and physical activity (measured using 7-point global rating of change Likert scale at 6 and 12 months). Additional measures include adherence, adverse events and cost-effectiveness.DiscussionThis study will determine whether a diet intervention in addition to exercise provides greater hip pain-relief, compared to exercise alone. Findings will assist clinicians in providing evidence-based advice regarding the effect of a dietary intervention on hip OA pain.Trial registrationClinicalTrials.gov . Identifier: NCT04825483. Registered 31st March 2021.

Overweight and obesity: a study among university students in Sarawak, Malaysia

ABSTRACT Overweight and obesity are on the rise throughout Asia, with Malaysia at the top of the list. However, the most recent data among young people, particularly university students in Asia, are scarce. This study aimed to report the prevalence of overweight and obesity among university students attending two public universities in Sarawak, Malaysia, based on demographic data that included their levels of study, gender, and age ranges. This is a cross-sectional research approach, which surveyed 622 university students aged from 18 to 24 years enrolled in associate and bachelor’s degree study. A self-administered questionnaire was distributed via an online platform from March to November 2020. Body mass index (BMI) was calculated from the obtained self-reported body weight and height for body weight status adhering to the World Health Organisation (WHO) and Asian cutoff scales. Based on the WHO cutoff scale, the prevalence of overweight and obesity was 14.31% and 10.13%, respectively, which is lower than Asian cutoff scale prevalence, 22.19% and 16.88%, respectively. A high prevalence of overweight and obesity was noted among the study sample, particularly male students. Bachelor’s degree students recorded higher BMI than those at associate level. Age groups were prominent in the prevalence of overweight and obesity in males, but an exception in females. In conclusion, a high prevalence of overweight and obesity was observed in this study. This study provides valuable data that may be applied to devise strategic interventions at improving the health of university students.

The negative health effects of having a combination of snoring and insomnia.

Insomnia and snoring are common sleep disorders. The aim was to investigate the association of having a combination of insomnia symptoms and snoring with comorbidity and daytime sleepiness. The study population comprised 25,901 participants (16-75 years, 54.4% women) from 4 Swedish cities, who answered a postal questionnaire that contained questions on snoring, insomnia symptoms (difficulties initiating and/or maintaining sleep and/or early morning awakening), smoking, educational level, and respiratory and nonrespiratory disorders. Snoring was reported by 4,221 (16.2%), while 9,872 (38.1%) reported ≥ 1 insomnia symptom. A total of 2,150 (8.3%) participants reported both insomnia symptoms and snoring. The association with hypertension (adjusted odds ratio [OR], 1.4; 95% confidence interval [CI], 1.2-1.6), chronic obstructive pulmonary disease (adjusted OR, 1.8; 95% CI, 1.3-2.4), asthma (adjusted OR, 1.9; 95% CI, 1.6-2.3), daytime sleepiness (adjusted OR, 7.9; 95% CI, 7.1-8.8), and the use of hypnotics (adjusted OR, 7.5; 95% CI, 6.1-9.1) was highest for the group with both insomnia symptoms and snoring. Participants with both snoring and insomnia run an increased risk of hypertension, chronic obstructive pulmonary disease, asthma, daytime sleepiness, and use of hypnotics. It is important to consider snoring in patients seeking medical assistance for insomnia and, vice versa, in patients with snoring inquiring about insomnia. Hägg SA, Ilieva E, Ljunggren M, etal. The negative health effects of having a combination of snoring and insomnia. J Clin Sleep Med. 2022;18(4):973-981.

Demographic and sociocultural risk factors for adulthood weight gain in Hispanic/Latinos: results from the Hispanic Community Health Study / Study of Latinos (HCHS/SOL)

BackgroundUnited States (US) Hispanic/Latinos experience a disproportionate burden of obesity, which may in part be related to demographic or sociocultural factors, including acculturation to an US diet or inactive lifestyle. Therefore, we sought to describe the association between adulthood weight histories and demographic and sociocultural factors in a large diverse community-based cohort of US Hispanic/Latinos.MethodsWe estimated the effect of several factors on weight gain across adulthood, using multivariable linear mixed models to leverage 38,759 self-reported current body weights and weight histories recalled for 21, 45 and 65 years of age, from 15,203 adults at least 21 years of age at the baseline visit of the Hispanic Community Health Study/Study of Latinos (2008–2011).ResultsThe average rate of weight gain was nearly 10 kg per decade in early adulthood, but slowed to < 5 kg a decade among individuals 60+ years of age. Birth cohort, gender, nativity or age at immigration, Hispanic/Latino background, and study site each significantly modified the form of the predicted adulthood weight trajectory. Among immigrants, weight gain during the 5 years post-migration was on average 0.88 kg (95% CI: 0.04, 1.72) greater than the weight gain during the 5 years prior. The rate of weight gain appeared to slow after 15 years post-migration.ConclusionsUsing self-reported and weight history data in a diverse sample of US Hispanic/Latinos, we revealed that both demographic and sociocultural factors were associated with the patterning of adulthood weight gain in this sample. Given the steep rate of weight gain in this population and the fact that many Hispanic/Latinos living in the US immigrated as adults, efforts to promote weight maintenance across the life course, including after immigration, should be a top priority for promoting Hispanic/Latino health and addressing US health disparities more broadly.

Effect of COVID-19 Pandemic-Induced Dietary and Lifestyle Changes and Their Associations with Perceived Health Status and Self-Reported Body Weight Changes in India: A Cross-Sectional Survey.

Home confinement during the COVID-19 pandemic is accompanied by dramatic changes in lifestyle and dietary behaviors that can significantly influence health. We conducted an online cross-sectional survey to assess COVID-19 pandemic-induced dietary and lifestyle changes and their association with perceived health status and self-reported body weight changes among 1000 Indian adults in early 2021. Positive improvements in dietary habits, e.g., eating more nutritious (85% of participants) and home-cooked food (89%) and an increase in overall nutrition intake (79%), were observed. Sixty-five percent of participants self-reported increased oat consumption to support immunity. There were some negative changes, e.g., more binge eating (69%), eating more in between meals (67%), and increasing meal portion size (72%). Two-thirds of participants reported no change in lifestyles, whereas 21 and 23% reported an increase, and 13 and 10% reported a decrease in physical activity and sleep, respectively. Overall, 64 and 65% of participants reported an improvement in perceived health and an increase in body weight during the COVID-19 period compared to pre-COVID-19, respectively. The top motivations for improving dietary habits included improving physical and mental health and building immunity. In conclusion, the overall perceived health was improved and there was an increase in self-reported body weight in most participants during COVID-19. Diet emerged as the most crucial determinant for these changes.

The implications of self-reported body weight and height for measurement error in BMI

We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with gender, education and income. This is reassuring evidence for the use of self-reported BMI in studies that use it as an outcome, for example, to analyse socioeconomic gradients in obesity. However, our results suggest a complex structure of non-classical measurement error in BMI, depending on both individuals’ and within-household peers’ true BMI. This may bias studies that use BMI based on self-reported data as a regressor. We also observe non-classical reporting error in height and weight — taller people seem to report their height more accurately, while a nonlinear relationship is evident for weight, with a sharper increase in reporting errors for those of greater weight. Common methods to mitigate reporting error in BMI using predictions from corrective equations do not fully eliminate reporting heterogeneity associated with individual and within-household true BMI. Overall, the presence of non-classical error in BMI highlights the importance of collecting measured body weight and height data in large social science datasets.

Association between Subjective Body Image, Body Mass Index and Psychological Symptoms in Chinese Adolescents: A Nationwide Cross-Sectional Study.

Background: Conflicting findings were reported about the associations between subjective body image (SBI), body mass index (BMI) and psychological symptoms in China and other countries in the world. In this study, we aim to explore the associations between SBI, BMI, and psychological symptoms based on a large-scale, national wide survey among Chinese adolescents. Methods: The 2014–2015 China Education Panel Survey (CEPS) database, with 8134 middle school students (4137 boys and 3997 girls), was analyzed to explore the association between SBI, BMI and psychological symptoms. SBI was assessed by one question about the perception of own body shape with options “very thin”, “slightly thin”, “average”, “weak heavy”, and “very heavy”. BMI was calculated by the self-reported body weight and height. Psychological symptoms were evaluated by 10 items involving both aspects of depression and anxiety. Results: The results indicated that both boys and girls who perceived weak or very heavy weight were positively associated with psychological symptoms (p < 0.05). For boys, perceiving very thin body image was also in higher risk of psychological symptoms (p < 0.05), after controlling social-demographic variables and BMI. Comparing with normal weight boys or girls, obese boys (β = −2.22, 95% CI −3.37~−1.07) and overweight girls (β = −1.03, 95% CI −2.01~−0.06) were in lower levels of psychological symptoms after controlling for SBI. Other factors associated with psychological symptoms were family economic status, academic performance, and self-rated health status. Conclusions: A deviation from an “average” SBI was positively associated with psychological symptoms, which should be scanned when evaluating the Chinese adolescents’ mental health. These findings provide epidemiological evidence for the association between SBI and psychological symptoms in non-western social contexts.

Self-reported body weight and weight-related stigmatization experiences among young adult women-two contexts, but similar attitudes related to body image, mental self-schemas, self-esteem, and stereotypes of people with obesity.

BackgroundWeight stigma is a serious challenge because of its negative impact on human health and harmful psychological and behavioral consequences. The aim of the study was to explore and compare the relationships between self-reported body weight and weight-related stigmatization experiences and body image, mental self-image, self-esteem, and stereotypes concerning people with obesity among young adult Polish women (N = 374; aged between 18 and 35).MethodsThe study was conducted online on a Polish sample recruited through a social network site, a website, and snowball sampling. Body mass index (BMI) was used to assign the respondents to groups with normal or excess weight. We tested whether women enrolled in the study experienced weight-related stigmatization using two questions based on the concepts of spoiled identity and related to the obesity stigma. The Contour Drawing Rating Scale was used to study different aspects of the body image and discrepancies between them. The Self-Discrepancy Questionnaire was used to study the self-schemas associated with mental qualities. The Polish version of the Rosenberg’s Self Esteem Scale was applied to determine self-esteem level. Stereotypes concerning people with obesity were studied using the semantic differential method.ResultsAlthough excess weight was associated with weight-related stigmatization experiences, many women reported confronting such stigmatization even though their body weight was normal according to the World Health Organization (WHO) standards. Women with excess weight and women with weight-related stigmatization experiences were characterized by larger discrepancies between the actual body image and the ideal, reflected, and ought body image, lower self-esteem, and more negative beliefs about their mental actual and reflected self compared to women with normal weight and without weight-related stigmatization experiences. The study participants from all groups tended to believe their actual body image to be ampler than the ideal and the ought body images. They also believed that other people perceived their mental qualities more positively than they did. The study groups were also characterized by negative stereotypes of people with obesity, although these stereotypes were more vital in women with excess weight and women who experienced weight-related stigmatization.ConclusionThe study shows the similarity between psychological functioning of women with self-reported excess weight and those who experience weight-related stigma. The results also provide guidelines for practical actions aimed at reducing negative mental outcomes associated with not conforming to body weight standards.

Dose and engagement during an extended contact physical activity and dietary behavior change intervention delivered via tailored text messaging: exploring relationships with behavioral outcomes

BackgroundExtended contact interventions delivered via text messaging are a low-cost option for promoting the long-term continuation of behavior change. This secondary analysis of a text message–delivered extended contact intervention (‘Get Healthy, Stay Healthy’ (GHSH)) explores the extent to which changes in physical activity, dietary behaviors and body weight were associated with the frequency of text messages (dose) and contact between the health coach and participant (engagement).MethodsFollowing a telephone coaching program, participants were randomised to receive extended contact via tailored text messages (GHSH, n = 114) or no additional contact (n = 114) over a 6-month period. Message dose, timing, and content were based on participant preferences, ascertained during two tailoring telephone calls. All incoming and outgoing messages were recorded. At baseline and 6 months, participants self-reported body weight and dietary behaviors (fruit and vegetable servings/day). Moderate-vigorous physical activity (MVPA) was assessed via accelerometry.ResultsMedian dose (25th, 75th percentile) was 53 (33, 72) text messages in total across six months. Mean fortnightly dose in weeks 1–2 was 5.5 (95 % CI: 4.3, 6.6) text messages, and remained stable (with the exception of planned decreases in weeks involving additional intervention contacts). Offset against the average fortnightly dose of goal checks (1.6, 95 % CI: 1.3, 2.0 and 1.5, 95 % CI: 1.2, 1.8, for physical activity and diet respectively), mean replies to goal checks were highest in weeks 1–2 (1.4, 95 % CI: 1.4, 1.5 and 1.3, 95 % CI: 1.2, 1.4, respectively) and tended to become lower in most weeks thereafter. Greater weight loss was positively associated with text message dose (P = 0.022), with a difference of 1.9 kg between participants receiving the most and fewest texts. There was no association between engagement and changes in outcome measures.ConclusionsA fixed dose of texts does not seem suitable to meet participants’ individual preferences. Higher self-selected text doses predicted better weight outcomes. However, greater participant engagement through text replies does not predict more favourable outcomes, despite being a suggested facilitator of successful behavior change maintenance.Trial registrationAustralian New Zealand Clinical Trials Registry number: ACTRN12613000949785. Date registered: 27 August 2013. Retrospectively registered. http://www.anzctr.org.au/.

Does Self-Perception Equal the Truth When Judging Own Body Weight and Height?

Background: Data from the research project “Fitness clubs—a venue for public health?” provided an opportunity to evaluate the accuracy of self-reported body weight and height, and subsequent Body Mass Index (BMI), as well as the “trueness” of novice exercisers perception of weight status category, which has not been examined in this population. The aims were to examine self-reported body weight, height, and calculated BMI data from an online survey compared with measured data at fitness club start-up, investigate how accurately novice exercisers place themselves within self-classified weight group (underweight, normal weight, overweight, and obese), and compare this with fitness club attendance at three months follow-up. Methods: Prior to anthropometric measurements, 62 men and 63 women responded to an online questionnaire, including body weight (kilogram, kg) and height (centimeters, cm), and self-classified weight group (“I think I am … underweight, normal weight, overweight, obese”). We used the following statistical analysis: Paired sample t-tests, a Bland–Altman plot kappa statistics, chi-squared tests, and a logistic regression. Results: Mean difference of BMI calculated from self-reported and measured data was 0.06 (95% CI −0.29 to 0.17, p = 0.593) in men, and 0.16 (95% CI −0.40 to 0.09, p = 0.224) in women, with four participants being outliers of the 95% limits of agreement (Bland-Altman plot). Allowing a difference of 0.5 kg between self-reported and measured weight, we found that 16% reported their weight correctly, 31.2% underreported (−1.89 ± 1.59 kg), and 52.8% overreported (1.85 ± 1.23 kg), with no sex differences (p = 0.870). Further, our results suggest that both sexes may have difficulty recognizing overweight/obesity in themselves, and particularly men are likely to underreport their perceived weight group compared with women. More than half (53.3%) of the overweight men perceived themselves to be normal weight (women: 14%), and only 33.3% of obese men and women correctly classified themselves as being obese. We did not find any difference between participants correctly or incorrectly classifying weight group and fitness club attendance (≥2 times a week) at three months follow-up. Conclusion: Both sexes reported body weight and height reasonably accurately, and BMI based on self-report appears to be valid measure. Still, a large proportion of novice exercisers do not recognise their own overweight or obesity status, which may in part explain why public health campaigns do not reach risk populations.

COVID-19 Self-quarantine and Weight Gain Risk Factors in Adults.

Purpose of ReviewThe COVID-19 pandemic is associated with weight gain in certain individuals. This review highlights the risk factors for weight gain during COVID-19 self-quarantine in adults.Recent FindingsAmong those who have gained weight during COVID-19 self-quarantine, self-reported body weight has increased between .5 and 1.8 kg (± 2.8 kg) after just 2 months of quarantine. Identified risk factors for weight gain during COVID-19 self-quarantine are the following: increased sedentary behaviors, decreased physical activity, increased snacking frequency (particularly after dinner), increased alcohol intake, decreased water intake, emotional eating, decreased sleep quality, and being overweight/obese.SummaryHaving identified risk factors for weight gain during the COVID-19 pandemic, practitioners and researchers should devise plans to assist those who have gained weight to re-learn weight management/weight loss strategies.

Do Body Mass Index Levels Correlate with Tinnitus Among Teachers?

Introduction Working conditions can contribute to the development of lifestyle-related diseases among teachers, including obesity and tinnitus. Describing tinnitus in relation to characteristics and comorbidities can help the treatment and prognosis of teachers affected by this symptom. Objective To verify a possible association between tinnitus complaint and body mass index (BMI) in teachers. Methods Cross-sectional study with a sample of teachers who responded to the Visual Analog Scale (VAS) and to the Tinnitus Handicap Inventory (THI). The BMI (kg/m2) was calculated based on self-reported body weight (in kilograms) divided by height (in meters squared). Nonparametric statistics were applied adopting a significance level < 0.05 Results A total of 83 teachers were assessed, with a mean age 48 ± 9.7 years old; 63.9% ( n = 53) were females; 44.6% were eutrophic ( n = 37), and 16.9% ( n = 14) were obese. Of the total, 19.3% ( n = 16) reported tinnitus. No differences were found between the groups and BMI ( p > 0.05), although there was a significant difference between the Tinnitus and No Tinnitus groups for age ( p < 0.001). The chi-squared test showed an association between age group and tinnitus ( p < 0.028); those with tinnitus were in the 49 to 65 years old age group. In addition, there was a moderate correlation between tinnitus parameters (VAS; THI-Functional; THI-Total) and BMI. Conclusion There was a moderate correlation between tinnitus parameters and BMI indicating that, as the BMI increased, so did the impact of tinnitus in the lives of the teachers. Body mass index should be considered a factor in tinnitus assessment and rehabilitation process.

Factors Associated to Weight Gain During Confinement Due to COVID-19 Pandemic in a Sample of Adults in Spain

ObjectivesTo analyze the prevalence of weight gain during lockdown for the COVID-19 pandemic in Spain and associated factors in a sample of adults.MethodsThis cross-sectional study included 1029 adults recruited online through social media, website and newsletter of the Spanish Society of Community Nutrition (SENC) in a snowball procedure. The protocol used a 10-section questionnaire, including sociodemographic characteristics of participants (gender, age group, occupation), reported changes in dietary habits (22 Likert type items), and physicalactivity (PA), self-reported body weight and height as well as reported change in body weight. Body Mass Index (BMI) was computed to estimate prevalence of overweight (BMI ≥ 25) and obesity (BMI ≥ 30). A score of dietary change was computed compared to the Spanish Dietary Guidelines (DG) (Score ≥ 6: greater adherence to DGs). Binomial logistic regression analysis was used to explore the association between sociodemographic factors, dietary change score, change in PA, and overweight or obesity with weight gain during confinement. Responses were collected during the de-escalation phase towards the so-called “new normal”, June 7–26, 2020 (weeks 13–15 since COVID-19 lockdown restrictions started in Spain).ResultsIn this study, 1029 individuals (74% female) accepted to participate and provided valid responses. 37.7% (95%CI 34.8–40.8) reported weight gain during confinement, mean weight gain 2.8 ± 1.4 kg, significantly higher among overweight (3.1 ± 1.5 kg) and obese (3.5 ± 1.5 kg) subjects. Adjusted for age and occupation, increased body weight was more likely in women OR 1.50 (95%IC 1.03–2.19), overweight OR 3.12(IC95% 2.23–4.36) or obese subjects OR 3.13 (IC95% 1.89–5.18) less active than usual in confinement OR 2.16 (1.60–2.92), but less likely for those with dietary change score ≥6, OR 0.60 (IC95% 0.42–0.85).ConclusionsA high proportion of adults in Spain reported weight gain during confinement, significantly higher in overweight subjects. Female gender, being overweight or obese and being less physically active were factors positively associated to weight gain in COVID-19 confinement. Changes in lifestyles during lockdown can negatively influence the evolution of chronic diseases and risk factors in many people.Funding SourcesThis research received no external funding.

Characterizing the Impact of Breastfeeding and Socioeconomic Status on Maternal Weight Change From Pregnancy to Ten Years Postpartum

ObjectivesBreastfeeding is a potentially modifiable factor associated with less postpartum weight retention; however, in the United States women with lower socioeconomic status (SES) are less likely to initiate breastfeeding and, therefore, may be at higher risk for long-term weight retention. We sought to describe associations between duration of breastfeeding with postpartum weight retention and later BMI, and to determine whether associations varied by SES. MethodsMaternal and infant data (n = 2144 dyads) are from the Geographic Research on Wellbeing survey (GROW), a follow-up study of California’s annual statewide-representative Maternal and Infant Health Assessment. Pre-pregnancy BMI was obtained from self-report; at 4–10y postpartum, breastfeeding history and self-reported body weight were collected. Multivariable linear regression was used to examine associations between breastfeeding and long-term maternal body size. SES was calculated as a composite score of % federal poverty threshold plus education and was dichotomized. ResultsOverall, mean prepregnancy BMI was 24.9 kg/m2 while long-term weight retention 4–10 y postpartum was 4.0 kg. The sample average breastfeeding duration was 8.5 months with 61% meeting the World Health Organization (WHO) recommendations for 6 months of breastfeeding. In adjusted models, compared to women who did not meet recommendations, women who met WHO recommendations had slightly lower long-term postpartum weight retention (b = –1.06 kg, CI: –1.93, –0.25, p = 0.01) and a small reduction in BMI (b = –0.4 kg/m2 95% CI –0.74, –0.08; p = 0.02). Compared to higher SES women, fewer lower SES women ever breastfed (89% vs 74%, p < .0001) or met WHO recommendations (70% vs 51%, p < .0001). Lower SES women had higher prepregnancy BMI (25.9kg/m2 vs 23.5, p < .0001), and had greater long-term weight retention 4–10 y postpartum (5.68kg vs. 1.83, p < .0001). In SES stratified adjusted models, there were no differences in associations between breastfeeding with long-term weight retention or BMI. ConclusionsBreastfeeding was associated with long term maternal postpartum weight status. Six months of breastfeeding was associated with lower long-term postpartum weight retention and lower BMI at 4–10 years postpartum, and effects did not vary by socioeconomic status. Funding SourcesCDPH, UCSF.