Body mass index trajectories preceding first report of poor self-rated health: A longitudinal case-control analysis of the English Longitudinal Study of Ageing

Non-linear relationship between body mass index and self-rated health in older Korean adults: body image and sex considerations

OBJECTIVES

The purpose of this study was to investigate the association between body mass index (BMI) and self-rated health (SRH) in older adults aged over 65 years while examining the influence of self-perceived body image (SBI) and sex.

METHODS

Raw data were obtained from the Korea Community Health Survey, which included BMI measurements of Koreans aged over 65 years (n=59,628). Non-linear relationships between BMI and SRH were analyzed separately for each sex using restricted cubic splines while controlling for SBI and other confounding variables.

RESULTS

Men showed a reverse J-shaped association, while women showed a J-shaped association between BMI and poor SRH. However, including SBI in the model changed this association for men to an inverted U-shape showing a negative direction, with the highest risk of poor SRH observed in the underweight to overweight range. For women, a nearly linear positive relationship was observed. Regardless of BMI, those who perceived their weight as not "exactly the right weight" had a higher risk of poor SRH than those who perceived their weight as "exactly the right weight" in both men and women. Older men who thought they were much too fat or too thin had similar highest risks of poor SRH, whereas older women who thought they were too thin had the highest risk of poor SRH.

CONCLUSIONS

The findings of this study emphasize the importance of considering sex and body image perceptions when assessing the relationship between BMI and SRH in older adults, especially in men.

Self-rated health status and associated factors in rural workers

BACKGROUND

Self-rated health status can be considered a good predictor of morbidity and mortality and has been used due to its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rated health status. Thus, this study aims to analyze the self-assessment of health status in rural workers and its association with socioeconomic characteristics, lifestyle, clinical condition and work characteristics.

METHODS

This is a cross-sectional study carried out with 787 male and female rural reporting agriculture as their main source of income in the municipality of Santa Maria de Jetibá. A simple and direct question was used "In general, compared to people your age, how do you rate your own state of health?" to see how rural workers rate their current health status. The independent variables analyzed were socioeconomic, clinical, health and work conditions. The magnitude of the associations was evaluated by means of hierarchical logistic regression.

RESULTS

It was found that 42.1% of rural workers self-rated their health status as regular or poor. Belonging to socioeconomic classes C (OR = 1.937; 95% CI = 1.009-3.720) or D/E (OR = 2.280; 95% CI = 1.178-4.415), being overweight (or having excess weight) (OR = 1.477; 95% CI = 1.086-2.008), multimorbidity (OR = 1.715; 95% CI = 1.201-2.447) and complex multimorbidity (OR = 1.738; 95% CI = 1.097-2.751) were risk factors for worse self-rated health.

CONCLUSION

It was concluded that chronic diseases, socioeconomic status and overweight are risk factors for negative self-rated health. The identification of these determinants through self-rated status can support the planning of actions aimed at improving the health of the rural population.

TRIAL REGISTRATION

This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo (Protocol No. 2091172; CAAE No. 52839116.3.0000.5060). All research participants gave their informed consent.

Medidas antropométricas versus grosor de masa muscular como predictores de mortalidad en la unidad de cuidado intensivo

Introducción. En Colombia, la tasa de mortalidad en la Unidad de Cuidados Intensivos es cercana al 32 %, por lo anterior, se han estudiado múltiples predictores de mortalidad que identifiquen de manera precoz una evolución inadecuada. La masa muscular corresponde a cerca del 50 % del peso corporal y cumple importantes funciones metabólicas, como la generación de energía y la homeostasis de la glucosa. Se ha informado la disminución de hasta el 1,6 % de la masa muscular por día en pacientes críticos, factor relacionado con la mortalidad. Métodos. Se realizó un estudio de cohorte prospectiva entre enero de 2020 y diciembre de 2021, con una muestra no probabilística a conveniencia, incluyendo a los pacientes que ingresaron a las diferentes Unidad de Cuidados Intensivos del Hospital Universitario Hernando Moncaleano Perdomo, en quienes se realizó un registro periódico de las medidas antropométricas y del grosor del musculo cuádriceps. Resultados. Se incluyeron 82 pacientes, encontrando como variables asociadas a la mortalidad la edad, el número de días de hospitalización, el índice de masa corporal y el delta del musculo cuádriceps. Una medida del grosor del musculo cuádriceps al ingreso menor de 2,5 cm, se asoció con alto riesgo de muerte y una disminución de más de 1,72 cm durante el control ecográfico se relacionó con mal pronóstico. Conclusiones. Aunque estas variables se eligieron en función de su asociación con mortalidad, nuestros resultados emplean importantes características, como la medición del grosor muscular y su delta durante la estancia en la unidad de cuidados intensivos, lo que indica un mayor consumo de las reservas fisiológicas, asociándose a mayor riesgo de complicaciones y mortalidad.

Differentials in Health and Wellbeing in Older Adults with Obesity in England: A Cross-Sectional Analysis Using the English Longitudinal Study of Ageing

The aim of the study is to explore the association of obesity by body mass index (BMI) measurements with subjective health status (SHS), objective health status (OHS) and wellbeing status among older adults in England. The sample of 5640 participants (aged 50 years and over) are considered from the English Longitudinal Study of Ageing Wave 8 dataset. Multivariate logistic regression analysis is performed to explore the cross-sectional relationship of the study variables. The statistical analyses explored those overweight and obese older adults are progressively vulnerable to increasing odds of poor SHS, OHS and poor wellbeing in an adjusted model compared to their normal-weight counterparts. The outcome of the present study would enable policymakers and healthcare providers to have greater insight into the effects of socio-demographic and lifestyle factors and the effect of high BMI on older adults’ health and wellbeing.

Body mass index trajectories during mid to late life and risks of mortality and cardiovascular outcomes: Results from four prospective cohorts

BACKGROUND

Our understanding of the weight-outcome association mainly comes from single-time body mass index (BMI) measurement. However, data on long-term trajectories of within-person changes in BMI on diverse study outcomes are sparse. Therefore, this study is to determine the associations of individual BMI trajectories and cardiovascular outcomes.

METHODS

The present analysis was based on data from 4 large prospective cohorts and restricted to participants aged ≥45 years with at least two BMI measurements. Hazard ratios (HR) and 95% confidence intervals(95%CI) for each outcome according to different BMI trajectories were calculated in Cox regression models.

FINDINGS

The final sample comprised 29,311 individuals (mean age 58.31 years, and 77.31% were white), with a median 4 BMI measurements used in this study. During a median follow-up of 21.16 years, there were a total of 10,192 major adverse cardiovascular events (MACE) and 11,589 deaths. A U-shaped relation was seen with all study outcomes. Compared with maintaining stable weight, the multivariate adjusted HR for MACE were 1.53 (95%CI 1.40-1.66), 1.26 (95%CI 1.16-1.37) and 1.08 (95%CI 1.02-1.15) respectively for rapid, moderate and slow weight loss; 1.01 (95%CI 0.95-1.07), 1.13 (95%CI 1.05-1.21) and 1.29 (95%CI 1.20-1.40) respectively for slow, moderate and rapid weight gain. Identical patterns of association were observed for all other outcomes. The development of BMI differed markedly between the outcome-free individuals and those who went on to experience adverse events, generally beginning to diverge 10 years before the occurrence of the events.

INTERPRETATION

Our findings may signal an underlying high-risk population and inspire future studies on weight management.

FUNDING

National Natural Science Foundation of China, Guangdong Natural Science Foundation.

Health conditions and weight change among the older adults over ten years of the SABE Survey

OBJECTIVE

To analyze the relationship between health conditions and weight changes among elderly people monitored by the SABE Survey over a ten-year period in São Paulo/SP.

METHODS

This was a longitudinal study that followed (2000-baseline, 2006 and 2010) change in body weight (outcome variable) and associated health conditions (exposure variables) in the elderly (n=571); multinomial logistic regression analyses were employed.

RESULTS

Average weight increase in the evaluated period was 29.0%. 34.0% (2006) and 12.5% (2010) lost weight and 18.2% (2006) and 39.9% (2010) gained weight. Prevalence of chronic diseases increased from 34.1% (2000) to 51.9% (2006) and 60.1% (2010). Older people with weight gain also rated their overall health as poorer in 2006 (RR:3.15; 95%CI 1.21;8.17) and 2010 (RR:2.46; 95%CI 1.02;5.94). The higher numbers of diseases (RR:2.12; 95%CI 1.00;4.46) and hospitalizations (RR:3.50; 95%CI 1.40;8.72) were associated with a decrease in weight in 2010.

CONCLUSION

Weight changes are related to poorer health status among the elderly.

The relationship between body mass index and poor self-rated health in the South Korean population

Objective

This study aimed to examine the association between body mass index (BMI) and self-rated health (SRH) in Korean adults.

Methods

The study included 214,997 adults who participated in the 2016 Korean Community Health Survey. Participants were categorized into four groups according to WHO Asian classification based on their BMI: underweight (<18.5 kg/m²), normal-weight (18.5–22.9 kg/m²), overweight (23.0‒24.9 kg/m²), obese (25.0‒29.9 kg/m²), and severely obese (≥30.0 kg/m²). Multivariate Poisson regression analysis with sampling weights and robust variance estimators was performed to evaluate the relationship between BMI categories and poor SRH.

Results

A J-shaped association was observed between BMI and poor SRH in both sexes. Compared to normal-weight subjects, the age, lifestyle, and comorbidities adjusted prevalence rate ratios (PRRs) in men for poor SRH were 1.73 (95% confidence interval [CI], 1.60–1.88) for underweight, 0.87 (95% CI, 0.83–0.92) for overweight, 0.98 (95% CI, 0.93–1.03) for obese, and 1.79 (95% CI, 1.63–1.97) for severely obese. In women, compared to normal-weight subjects, the age, lifestyle, and comorbidities adjusted PRRs for poor SRH were 1.33 (95% CI, 1.26–1.41) for underweight, 1.02 (95% CI, 0.98–1.06) for overweight, 1.15 (95% CI, 1.10–1.19) for obese, and 1.42 (95% CI, 1.31–1.53) for severely obese. Associations between underweight and SRH were stronger at older ages than at younger ages, whereas those between high BMI and SRH were stronger at younger ages than at older ages.

Conclusions

This cross-sectional study using a nationally representative survey observed a J-shaped relationship between BMI and poor SRH. This association differed depending on age and presence or absence of comorbidities.

Relationship Between Obesity and Severity of Carpal Tunnel Syndrome in Tanzania

Background: Carpal tunnel syndrome (CTS) is the most common focal mononeuropathy in the general population, and obesity is one of its established independent risk factors The prevalence of obesity in CTS patients and its association with CTS severity are yet to be fully studied among Tanzanians. In this study, we determined the frequency of obesity in patients with CTS and its relationship with the electrophysiological severity of CTS in a Tanzanian private tertiary level hospital. Methods: This is a retrospective observational and analytical study of patients referred for electrodiagnostic (EDX) evaluation of suspected CTS at the clinical neurophysiology laboratory of the Aga Khan Hospital, Dar es Salaam, Tanzania. All EDX studies done for CTS indications between August 1, 2017, and December 31, 2019, were reviewed. The frequency of CTS patients with obesity (body mass index >30 kg/m²) and overweight (25.0-29.9 kg/m²) was determined. Next, we explored the relationship between obesity and the electrophysiologic severity of CTS. Results: One-hundred nine hands were studied. The prevalence of obesity was 50.5% and overweight was 31.2%. Females were significantly more obese than males (P = 0.001). Many of the EDX parameters that defined CTS, including prolonged median nerve sensory and distal motor latencies as well as sensory conduction velocity, were significantly more abnormal in the obese when compared to the nonobese patients. On univariate analysis, severe CTS (stage 5) was commoner among nonobese patients (P = 0.031), while moderate CTS (stage3) was more prevalent among obese patients (P < 0.001). Multivariate regression analysis, however, revealed no effect of obesity on CTS severity (P = 0.490). Conclusion: Obesity and overweight are prevalent among this cohort with CTS, but did not predict severe CTS. The use of other indices of adiposity may show a trend.

Weight change across adulthood in relation to all cause and cause specific mortality: prospective cohort study

OBJECTIVE

To investigate the association between weight changes across adulthood and mortality.

DESIGN

Prospective cohort study.

SETTING

US National Health and Nutrition Examination Survey (NHANES) 1988-94 and 1999-2014.

PARTICIPANTS

36 051 people aged 40 years or over with measured body weight and height at baseline and recalled weight at young adulthood (25 years old) and middle adulthood (10 years before baseline).

MAIN OUTCOME MEASURES

All cause and cause specific mortality from baseline until 31 December 2015.

RESULTS

During a mean follow-up of 12.3 years, 10 500 deaths occurred. Compared with participants who remained at normal weight, those moving from the non-obese to obese category between young and middle adulthood had a 22% (hazard ratio 1.22, 95% confidence interval 1.11 to 1.33) and 49% (1.49, 1.21 to 1.83) higher risk of all cause mortality and heart disease mortality, respectively. Changing from obese to non-obese body mass index over this period was not significantly associated with mortality risk. An obese to non-obese weight change pattern from middle to late adulthood was associated with increased risk of all cause mortality (1.30, 1.16 to 1.45) and heart disease mortality (1.48, 1.14 to 1.92), whereas moving from the non-obese to obese category over this period was not significantly associated with mortality risk. Maintaining obesity across adulthood was consistently associated with increased risk of all cause mortality; the hazard ratio was 1.72 (1.52 to 1.95) from young to middle adulthood, 1.61 (1.41 to 1.84) from young to late adulthood, and 1.20 (1.09 to 1.32) from middle to late adulthood. Maximum overweight had a very modest or null association with mortality across adulthood. No significant associations were found between various weight change patterns and cancer mortality.

CONCLUSIONS

Stable obesity across adulthood, weight gain from young to middle adulthood, and weight loss from middle to late adulthood were associated with increased risks of mortality. The findings imply that maintaining normal weight across adulthood, especially preventing weight gain in early adulthood, is important for preventing premature deaths in later life.

Non-linear Relationship Between Body Mass Index and Lower Urinary Tract Symptoms in Korean Males

Objectives:

The purpose of this study was to evaluate the association between body mass index (BMI) and severe lower urinary tract symptoms (LUTS) in Korean males.

Methods:

This study was conducted on males aged ≥50 years who participated in the 2011 Korean Community Health Survey. LUTS severity was assessed using the Korean version of the International Prostate Symptom Score (IPSS) questionnaire, and was dichotomized as severe (IPSS >19) and non-severe (IPSS ≤19). BMI was divided into 6 categories: <18.5, 18.5-22.9, 23.0-24.9, 25.0-27.4, 27.5-29.9, and ≥30.0 kg/m². To evaluate the relationship between BMI and LUTS, a survey-weighted multivariate Poisson regression analysis was performed to estimate prevalence rate ratios (PRRs). Age, smoking status, alcohol intake, physical activity, educational level, household income, and comorbidities were adjusted for in the multivariate model.

Results:

A U-shaped relationship was detected between BMI and severe LUTS. Compared with a BMI of 23.0-24.9 kg/m², the PRR for a BMI <18.5 kg/m² was 1.65 (95% confidence interval [CI], 1.35 to 2.02), that for a BMI of 18.5-22.9 kg/m² was 1.25 (95% CI, 1.09 to 1.44), that for a BMI of 25.0-27.4 kg/m² was 1.20 (95% CI, 1.00 to 1.45), that for a BMI of 27.5-29.9 kg/m² was 1.11 (95% CI, 0.83 to 1.47), and that for a BMI ≥30.0 kg/m² was 1.85 (95% CI, 1.18 to 2.88).

Conclusions:

This study showed that both high and low BMI were associated with severe LUTS.