Associations between behavioural risk factors and overweight and obesity among adults in population-based samples from 31 countries

Overweight in elderly increases postural instability during sit-to-stand test: a Kinect-based assessment

BACKGROUND

Being overweight increases the risk of falls and subsequent injuries. However, conventional functional balance tests may not be appropriate for this population as body weight can affect test performance. Thus, it is crucial to develop reliable methods for assessing balance ability in overweight individuals.

AIM

The purpose of this study was to utilize a portable gaming device (Kinect Xbox 360) to measure the center of mass (CoM) of elderly individuals and compare the results between normal weight and overweight elderly women.

METHODS

The study included 64 female elderly individuals who were divided into two groups: 32 normal weight and 32 overweight subjects, matched for age (matched pairs design). The study collected the body's CoM during the five-time sit-to-stand test (FTSST) using Kinect camera. Additionally, the participants underwent the time up and go test (TUGT) and one-leg standing balance (OLSB) tests. The Kinect Xbox 360 demonstrated high test-retest reliability for measuring body's center of mass sway, with ICC3,1 value of 0.982 in the vertical direction, 0.983 in the mediolateral (ML) direction, and 0.997 in the anteroposterior (AP) direction. Additionally, the technical error of measurement (TEM) was very low at 0.006, 0.002, and 0.004, respectively. The % coefficient of variation ranged from 1.31% to 5.68%, indicating good measurement consistency.

RESULTS

Overweight individuals took longer to complete FTSST and TUGT compared to normal weight individuals, but no significant difference was observed in OLSB tests. Moreover, overweight elderly individuals had greater sway length in the ML and AP directions compared to normal weight elderly individuals.

DISCUSSION AND CONCLUSION

Overweight elderly individuals had poorer balance than their normal weight counterparts when using Kinect camera. The researchers suggest that Kinect device can be a cost-effective alternative to measure balance performance among overweight elderly in the community-based setting.

Double burden of malnutrition among women in reproductive Age (15-49 years) in Sierra Leone: a secondary data analysis of the demographic health survey 2019 (SLDHS-2019)

BACKGROUND

The double burden of malnutrition (DBM) is rising globally, particularly in sub-Saharan Africa. In Sierra Leone, the incidence of overweight, obesity (OWOB), and overnutrition among women has sharply increased. This finding accompanies the high incidence of undernutrition, which has been prevalent for decades. This study aimed to determine the prevalence of different malnutrition categories (underweight, overweight, obesity, and overnutrition) and associated factors among women of reproductive age (15-49 years) in Sierra Leone using secondary data analysis of the Sierra Leone Demographic Health Survey of 2019 (SLDHS-2019).

METHODS

We conducted secondary data analysis of the SLDHS-2019 of 7,514 women aged 15-49 years. We excluded pregnant, post-natal, lactating, and post-menopausal women. Data was collected using validated questionnaires, and respondents were selected through a multistage stratified sampling approach. A multivariable logistic regression analysis was used to determine factors associated with malnutrition among 15-49-year-old women in Sierra Leone.

RESULTS

Among 15-49-year-old women in Sierra Leone, the prevalence of underweight was 6.7% (95%CI: 4.5-8.9%); overweight at 19.7% (95%CI: 17.7-21.7%); obesity was 7.4% (95% CI: 5.2-9.6%); and overnutrition, 27.1% (95%CI: 25.2-29.0%). Women aged 25-34 years were more likely to be underweight (adjusted Odds Ratios, aOR = 1.670, 95%CI: 1.254-2.224; p < 0.001) than those aged 15-24 years; women who were not married were less likely to be underweight (aOR = 0.594, 95%CI: 0.467-0.755; p < 0.001) than married women. Women from the North were less likely to be underweight (aOR = 0.734, 95%CI: 0.559-0.963; p = 0.026) than the East, and those who did not listen to the radio were less likely to be underweight (aOR = 0.673; 95%CI: 0.549-0.826; p < 0.001) than those who did. Overweight was less likely among 25-34 years (aOR = 0.609, 95%CI: 0.514-0.722; p < 0.001) and 35-49 years (aOR = 0.480, 95%CI: 0.403-0.571; p < 0.001) age-groups than 15-24 years; more likely among not married women (aOR = 1.470, 95%CI:1.249-1.730; p < 0.001) than married; less likely among working-class (aOR = 0.840, 95%CI: 0.720-0.980; p = 0.026) than not working-class; most likely in women from the North (aOR = 1.325, 95%CI:1.096-1.602; p = 0.004), and less likely among women from the South (aOR = 0.755, 95%CI: 0.631-0.903; p = 0.002) than the East; less likely among women of middle-wealth-index (aOR = 0.656, 95%CI: 0.535-0.804; p < 0.001), richer-wealth-index (aOR = 0.400, 95%CI: 0.309-0.517; p < 0.001), and richest-wealth-index (aOR = 0.317, 95%CI: 0.234-0.431; p < 0.001) than the poorest-wealth-index; and more likely among women who did not listen to radios (aOR = 1.149; 95%CI:1.002-1.317; p = 0.047) than those who did. The predictors of overweight among women 15-49 years are the same as obesity and overnutrition, except overnutrition and obesity were less likely in female-headed households (aOR = 0.717,95%CI: 0.578-0.889; p < 0.001).

CONCLUSION

The prevalence of all categories of malnutrition among women of reproductive age in Sierra Leone is high, affirming a double burden of malnutrition in this study population. Underweight was more likely among the 25-34-year age group than 15-24-year. The predictors of overweight, obesity, and overnutrition were being unmarried/single, residing in the North, and not listening to the radio. There is an urgent need for policymakers in Sierra Leone to design comprehensive educational programs for women of reproductive age on healthy lifestyles and the dangers of being underweight or over-nourished.

Traffic noise in the bedroom in association with markers of obesity: a cross-sectional study and mediation analysis of the respiratory health in Northern Europe cohort

BACKGROUND

Previous research suggests an association between road traffic noise and obesity, but current evidence is inconclusive. The aim of this study was to assess the association between nocturnal noise exposure and markers of obesity and to assess whether sleep disturbance might be a mediator in this association.

METHODS

We applied data from the Respiratory Health in Northern Europe (RHINE) cohort. We used self-measured waist circumference (WC) and body mass index (BMI) as outcome values. Noise exposure was assessed as perceived traffic noise in the bedroom and/or the bedroom window's location towards the street. We applied adjusted linear, and logistic regression models, evaluated effect modifications and conducted mediation analysis.

RESULTS

Based on fully adjusted models we found that women, who reported very high traffic noise levels in bedroom, had 1.30 (95% CI 0.24-2.37) kg/m² higher BMI and 3.30 (95% CI 0.39-6.20) cm higher WC compared to women, who reported no traffic noise in the bedroom. Women who reported higher exposure to road traffic noise had statistically significant higher odds of being overweight and have abdominal obesity with OR varying from 1.15 to 1.26 compared to women, who reported no traffic noise in the bedroom. For men, the associations were rather opposite, although mostly statistically insignificant. Furthermore, men, who reported much or very much traffic noise in the bedroom, had a statistically significantly lower risk of abdominal obesity. Sleep disturbance fully or partially mediated the association between noise in bedroom and obesity markers among women.

CONCLUSION

Our results suggest that self-reported traffic noise in the bedroom may be associated to being overweight or obese trough sleep disturbance among women, but associations were inconclusive among men.

Old age takes its toll: Long-run projections of health-related public expenditure in Luxembourg

This paper simulates long-term trends in Luxembourg's public expenditure on healthcare and on long-term care. We combine population projections with micro-simulations of individuals' health status that account for their demographic, socio-economic characteristics and their childhood circumstances. Model equations estimated on data from the SHARE survey and from several branches of Social Security provide a rich framework to study policy-relevant applications. We simulate public expenditure on healthcare and long-term care under different scenarios to evaluate the separate contributions of population ageing, costs of producing health-related services, and the distribution of health status across age cohorts. Results suggest that rising per capita expenditure on healthcare will mostly result from production costs, while rising expenditure on long-term care will mostly reflect population ageing.

Obesity prevalence, physical activity, and dietary practices among adults in Saudi Arabia

Introduction

The current study evaluated obesity prevalence, physical activity, and dietary practices among Saudi adults in the Makkah region of the Kingdom of Saudi Arabia (KSA). The current survey was accomplished between November 2021 and March 2022.

Method

A validated questionnaire, Arab Teens Lifestyle Study (ATLS), was used to evaluate all participants' physical activities, sedentary behaviors, and nutritional habits in addition to demographic data.

Result

A total of 2,115 people [1,238 (58.5%) women and 877 (41.5%) men] participated in this survey. Being overweight was prevalent in 32.8% of the population (41% of men and 28.9% of women), obesity was prevalent in 23% of the population (males 23.1% and females 24.2%). Obese people consumed more soft drinks, and overweight people did not consume enough vegetables (fresh/cooked). Obese people consumed fast food (e.g., burgers, sausage, pizza, or Arabic shawarma) over three times each week. The mean (SD) number of days of practice walking was 2.51 (2.05) vs. 1.3 (1.87) (p < 0.001) for lean and obese individuals, respectively. In addition, individuals with normal BMI had more days of jogging, moderate and high-intensity exercise, dancing, and strength training than those with obesity. The odds of being obese increased with age (OR: 1.07; p < 0.001), in males (OR: 2.16; p < 0.001), in participants earning <5,000 SR/month (1.3 thousand $) and 10-15 thousand SR/month (1.34-2.66 thousand $) (OR: 2.36; P = 0.01). Obesity was inversely associated with moderate-intensity exercise (OR: 0.802; p = 0.009), and regular walking (OR: 0.685; CI: 0.624-0.752; p < 0.001).

Discussion

Overweight and obesity were prevalent in 32.8% and 23% of the population, respectively. Sociodemographic factors associated with obesity. Focused intervention strategies are needed to overcome the obesity issue.

Lifestyle choices mediate the association between educational attainment and BMI in older adults in China: A cross-sectional study

As the Chinese population ages, unhealthfully high body mass index (BMI) levels in older adults are becoming a public health concern as an unhealthfully high BMI is an ill-being condition and can contribute to the risk of disease. Education and lifestyle choices affect BMI; however, the evidence on the relationships and interactions among these factors remains unclear. This study aimed to investigate the mediating effect of lifestyle choices on educational attainment and BMI among older adults in China. Using the Chinese Family Panel Studies (CFPS) 2018 panel data, this study integrated personal- and family-level economic data libraries, including 7,359 adults aged ≥60 years. Lifestyle parameters included smoking amount and screen time. Height and weight values were used to calculate BMI. The chi-square test, binary logistic regression analysis, stepwise regression analysis, and bootstrapping mediating effect tests were used for data analysis. Single-factor chi-square test revealed differences in BMI levels among groups defined by sex, age, residence, marital status, per capita annual household income, education years, and lifestyle choices. Binary logistic regression showed that age, residence, education years, smoking amount, and screen time influenced BMI. Stepwise regression results showed that education years, smoking amount, and screen time were associated with BMI (t = 3.907, -4.902, 7.491, P < 0.001). The lifestyle variables had partial mediating effects on BMI. The mediating effect of lifestyle on BMI was 0.009, while smoking amount was 0.003, and screen time was 0.006. Unhealthfully high BMI levels are increasing among older adults in China and are affected by many factors. Lifestyle factors and educational attainment can interact, affecting BMI. Interventions should consider lifestyle factors and education attainment to help maintain healthy BMI and reduce unhealthfully high BMI incidence.

Trends in concurrent tobacco use and heavy drinking among individuals 15 years and older in Mongolia

The study aimed to evaluate trends in the prevalence and correlates of current tobacco use only (= CT), current heavy drinking only (= CHD), and current tobacco use and current heavy drinking (= CTHD) in people 15 years and older from 2009 to 2019 in Mongolia. Cross-sectional data were analyzed from 5,438 individuals (15-64 years) of the Mongolia STEPS 2009 survey, 6,013 (15-69 years) of the Mongolia STEPS 2013 survey, and 6,654 persons (15-69 years) of the Mongolia STEPS 2019 survey and responded to questions about substance use, other health risk behaviours and physical measurements. Trend analysis shows that the prevalence of CT increased from 14.4% in 2009 to 15.3% in 2019, and the prevalence of CHD significantly decreased from 13.3% in 2009 to 10.3% in 2019, and the prevalence of CTHD significantly decreased from 14.2% in 2009 to 9.4% in 2019. Middle and older age, male sex (13 times higher for CT, 3.4 times higher for CHD, and 28 times higher for CTHD) and high physical activity significantly increased the odds of CT, CHD and CTHD. Higher education decreased the odds of CT but increased the odds of CHD. Urban residence was positively associated with CT, and among women with CTHD. Underweight decreased the odds of CT, CHD, and CTHD, and obesity decreased the odds of CT and CTHD and increased the odds of CHD. Hypertension was positively associated with CHD and CTHD, while sedentary behaviour was positively associated with CT and CTHD. Being Khalkh by ethnicity increased the odds of CT and inadequate fruit and vegetable intake increased the odds of CHD. More than one in six persons 15 years and older engaged in CT and more than one in ten engaged in CHD and CTHD. Several sociodemographic factors, such as male sex and middle and/or older age, and health variables, such as obesity and hypertension for CHD, were identified associated with CT, CHD, and CTHD that can help in guiding public interventions.

Modification Effect of Job Demand and Contingent Work Schedule on Overweight and Obesity Among Civil Servants in Taiwan

OBJECTIVE

Evidence indicated that shift work is a contributing factor to risk of obesity and leads to cardiovascular diseases (CVDs), but few researches have examined the moderating effects of job demand and contingent work schedule on overweight and obesity. Thus, we assessed the modification effect of contingent work schedules and job demand on overweight and obesity among Taiwan's civil servants.

METHODS

Multistage stratified random cluster sampling was used based on a proportional probabilistic sampling (PPS) in a national survey for civil servants. A total of 20,046 participants from 647 registered governmental institutions were enrolled and anonymously and voluntarily filled out web-based questionnaires.

RESULTS

Compared to fixed work schedule, odd ratios (ORs) of obesity and overweight were 1.63 and 1.78 times in contingent work schedule, respectively. In addition, the modification effects of contingent work schedule and high job demand on overweight and obesity with Rothman's synergy index were 2.43 and 2.56, respectively. Using a hierarchical regression model adjusted for covariates, both high job demand and contingent work schedule were interactively associated with overweight and obesity compared to low job demand and fixed work schedule.

CONCLUSION

Since precarious schedules affect employee's obesity through work-related stress and unhealthy behaviors, further research is needed to determine whether interventions aimed at modification of work schedule may be useful in combating obesity.

Prevalence and Influencing Factors of Overweight and Obesity among Adult Residents of Western China: A Cross-Sectional Study

Background

Overweight and obesity have become a serious health problem. There are a few data on the prevalence of overweight and obesity in Baoji city of western China, this study was conducted to investigate the epidemiologic features of overweight and obesity and explored influencing factors among Baoji adult residents.

Methods

A cross-sectional study, including 36,600 participants aged above 15 years, was carried out in Baoji city in 2018. Each participant's weight and height were measured, and demographic and behavioral characteristics were collected using questionnaires. Data were analyzed by means of logistic regression considering 95% level of significance.

Results

Overall, the prevalence of overweight and obesity was 30.73% and 3.11%, respectively. Male had a significantly higher prevalence of overweight (31.45% vs. 29.98%, P < 0.05) while female had a higher prevalence of obesity (3.50 vs. 2.74, P < 0.001). In the logistic regression analysis, being married or living with a partner (OR = 1.266, P < 0.001), unemployed or retired (OR = 1.183, P < 0.001), former smokers (OR = 1.116, P < 0.05), drinking alcohol (OR = 1.410, P < 0.001), sleeping more than 10 hours (OR = 1.274, P < 0.001), and increasing age were all significantly associated with a higher prevalence of overweight/obesity, whereas people who lived in rural areas (R = 0.904, P < 0.001) or had a sufficient leisure time physical activity per week (R = 0.945, P < 0.05) were associated with a lower prevalence.

Conclusion

Our results demonstrate that demographic and behavioral factors play an important role in prevalence of overweight/obesity, which can support the implementation of interventions aimed at weight control and consequently prevention of related diseases in this population.

Associations between perceived stress and BMI and waist circumference in Chinese adults: data from the 2015 China Health and Nutrition Survey

OBJECTIVES

To assess the association between perceived stress and adiposity among Chinese adults.

DESIGN

Cross-sectional study. Perceived stress was assessed using the 14-item perceived stress scale. Associations between quintiles of perceived stress and BMI and waist circumference were assessed using linear regression models and multinomial regression models. Estimates were adjusted for sociodemographic characteristics.

SETTING

2015 China Health and Nutrition Survey: 12 provinces covering a variety of geographic, economic development and health indicator situations.

PARTICIPANTS

A total of 8385 adults of both sexes, aged 18-99 years, were included.

RESULTS

Overall, the mean perceived stress score was 22·7 (6·2), mean BMI was 24·3 (3·6) kg/m2 and prevalence of obesity (BMI ≥ 30 kg/m2) was 6·0 %. There were inverse associations between perceived stress quintiles with continuous BMI (P < 0·001), BMI categories (P = 0·015) and waist circumference (P = 0·047). Compared to adults in the lowest quintile of perceived stress, adults in the highest quintile of perceived stress had 0·44 kg/m2 lower mean BMI (95 % CI: -0·67, -0·21), 0·72 times the prevalence of obesity (95 % CI: 0·55, 0·94) and 0·73 times the prevalence of abdominal obesity (95 % CI: 0·61, 0·88). Results were similar when using Chinese-specific cut-points.

CONCLUSION

Our results showed inverse associations between perceived stress quintiles and adiposity among Chinese adults. Future studies should aim to better understand the directionality of the observed associations and the potential biological and behavioural mechanisms underlying these associations in the Chinese population.

Theme Trends and Knowledge-Relationship in Lifestyle Research: A Bibliometric Analysis

Healthy living habits (healthy eating, regular physical activity, abstinence from smoking, restrictions on alcohol consumption, and stress management) can help prevent a significant number of diseases. The purpose of this study is to use a bibliometric analysis to analyze the relationships between countries, institutions and authors through lifestyle studies from 2016 to 2020 to find out the latest research trends. This study utilized bibliometric data collected through Scopus including thesis titles, authors, agencies, countries/regions, publication years, and keywords. Data were analyzed using the VOS viewer (Vers. 1.6.13; Leiden University, Leiden, The Netherlands) and the findings were used to visualize similarity mapping techniques. Publication of lifestyle-related research papers has steadily increased between 2016 and 2020. The country/region most actively conducting such research was the United States, also home to the majority of institutions conducting work in the field. PloS ONE published the most lifestyle-related research under the field of Medicine. Identified keywords were related to risk measures, psychosocial factors, prevention, health promotion, and risk factors. Lifestyle research is a promising field of research worldwide and has great potential to improve human health, the environment, and quality of life. The findings are expected to promote future research and give direction to the advancement of the field of research by comprehensively analyzing and summarizing lifestyle research trends.

Family history of obesity and the influence on physical activity and dietary adherence after bariatric surgery

BACKGROUND

The causes of obesity are multifactorial, with genetic, environmental, behavioural and societal contributions. These factors also affect adherence to diet and exercise after bariatric surgery. The objective of this study was to evaluate changes in perceived obesity-related stigma, exercise and dietary adherence perioperatively as well as what demographic factors most influence the magnitude of these changes.

METHODS

Validated questionnaires regarding perception of stigma and adherence to diet and exercise regimens were administered to 104 bariatric surgery patients preoperatively and postoperatively at three, six and 12 months. Scoring was compared for improvement, and concomitant factors were analysed for effect on magnitude of improvement.

RESULTS

Our study found overall improvement in perception of stigma as well as adherence to diet and exercise regimens. Those with a family history of obesity had less robust improvement compared to those without a family history of obesity. Those who were Caucasian also did not have as robust of an improvement in their scores.

CONCLUSIONS

Patient perception of obesity-related stigma and adherence to diet and exercise regimens improve after bariatric surgery. However, a patient with a family history of obesity and/or a Caucasian ethnicity may have a less robust improvement in these facets.

Underweight and overweight/obesity among adults in Afghanistan: prevalence and correlates from a national survey in 2018

BACKGROUND

The study aimed to estimate the prevalence and correlates of underweight and overweight/obesity among adults in Afghanistan.

METHODS

National cross-sectional survey data of 3779 persons aged 18-69 years were analysed. Multinomial logistic regression was used to estimate factors associated with underweight and overweight/obesity relative to normal weight.

RESULTS

In all, 7.8% of the study sample was underweight (BMI < 18.5 kg/m²), 49.5% had normal weight (BMI 18.5-24.9 kg/m²), 25.5% overweight (25.0-29.9 kg/m²), and 17.2% obesity. In adjusted multinomial logistic regression, factors negatively associated with underweight were male sex (adjusted relative risk ratio (ARRR): 0.30, 95% confidence interval (CI): 0.15-0.58) and hypertension (ARRR: 0.51, 95% CI: 0.27-0.95) and factors positively associated with underweight were sedentary behaviour (ARRR: 1.85, 95% CI: 1.11-3.10) and current tobacco use (ARRR: 2.58, 95% CI: 1.08-6.16). Factors positively associated with overweight/obesity were aged 30-44 years (ARRR: 2.00, CI: 1.51-2.66) and aged 45-69 years (ARRR: 1.58, CI: 1.09-2.31) (compared to 18-29 years) (ARRR: 1.28, CI: 1.14-2.18), hypertension (ARRR: 2.74, CI: 1.89-3.96), and type 2 diabetes (ARRR: 1.82, CI: 1.13-2.94), and high physical activity (ARRR: 0.70, CI: 0.50-0.98) was negatively associated with overweight/obesity.

CONCLUSION

Almost one in ten adult respondents were underweight and more than two in five were overweight/obese, confirming a dual burden of malnutrition in Afghanistan.

Overweight and Obesity among Adults in Iraq: Prevalence and Correlates from a National Survey in 2015

This study aimed to estimate the prevalence and correlates of overweight and obesity among adults in Iraq. Data from a 2015 nationally representative cross-sectional survey of 3916 persons 18 years or older (M (median) age = 40 years, IQR (interquartile range) age = 29–52 years; men: M = 41 years, IQR = 29–54 years; women: M = 40 years, IQR = 30–51 years) who responded to a questionnaire, and physical and biochemical measures were analysed. Multinomial logistic regression was utilised to predict the determinants of overweight and obesity relative to under or normal weight. The results indicate that 3.6% of the participants were underweight (body mass index (BMI) <18.5 kg/m²), 30.8% had normal weight (BMI 18.5–24.9 kg/m²), 31.8% were overweight (25.0–29.9 kg/m²), and 33.9% had obesity (BMI ≥30.0 kg/m²). In the adjusted multinomial logistic regression, being aged 40–49 years (compared to 18–39 years old) (adjusted relative risk ratio (ARRR): 4.47, confidence interval (CI): 3.39–5.91), living in an urban residence (ARRR: 1.28, CI: 1.14–2.18), and having hypertension (ARRR: 3.13, CI: 2.36–4.17) were positively associated with obesity. Being male (ARRR: 0.47, CI: 0.33–0.68), having more than primary education (ARRR: 0.69, CI: 0.50–0.94), and having a larger household size (five members or more) (ARRR: 0.45, CI: 0.33–0.60) were negatively associated with obesity. Approximately two in three adult participants were overweight/obese, and sociodemographic and health risk factors were found that can be utilised in targeting interventions.

Compensation and transfer effects of eating behavior change in daily life: Evidence from a randomized controlled trial

Pursuing specific eating goals may lead to the adoption of other healthy behaviors (transfer) or compensation with unhealthy behaviors. Previous research has mostly investigated such processes using non-experimental studies focusing on interindividual differences. To investigate transfer or compensation of eating behavior in daily life, we analyzed data from a 2 (eating goal: more fruit and vegetables [FV] vs. fewer unhealthy snacks) x 2 (intervention vs. control group) factorial randomized trial. Adopting a within-person perspective, we studied potential transfer and compensation 1) between different eating behaviors and physical activity (PA), and 2) in response to an eating behavior change intervention. Participants (N = 203) received either goals to increase FV intake or decrease unhealthy snack intake and completed a daily e-diary. Eating more unhealthy snacks predicted 0.16 less FV portions (β = -0.07; p < 0.001) and 18% less unhealthy snack intake the next day (p < 0.001). Eating more FV predicted 0.42 less FV portions the next day (β = -0.07; p < 0.001). Participants with the FV eating goal intervention decreased unhealthy snacks (p = 0.012) and PA (p = 0.019) by 8% compared to controls, respectively. Similar but non-significant patterns were observed for participants with the decreasing unhealthy snack goal intervention (p > 0.05). Results indicated both compensation and transfer processes in daily life. Relationships mostly occur within the same behavior and rather support compensatory effects. In turn, a behavior change intervention to promote FV intake potentially enhances non-assigned eating behaviors, indicating transfer, but may lower PA.

The Association of Healthy Lifestyle Behaviors with Overweight and Obesity among Older Adults from 21 Countries

This study aimed to analyze the association of healthy lifestyle behaviors with overweight and obesity among Europeans aged 65+ years. Data were from the 2014 European Social Survey, analyzing 21 countries. Five lifestyle behaviors (physical activity, fruit and vegetable consumption, sleep quality, drinking alcohol, and smoking) were analyzed. Binary logistic regressions were performed. A total of 8938 participants (4099 men) 65 years and older, mean age—73.6 (SD: 6.6) presented prevalence of overweight of 42.3% (95% CI: 41.3 to 43.3) and obesity of 20.9% (95% CI: 20.1 to 21.8). Adopting five healthy behaviors was associated with lower odds of obesity (OR = 0.50, 95% CI: 0.39 to 0.63), but not overweight (OR: 0.93; 95% CI: 0.79 to 1.10). Physical activity (≥5 days/week) was the most protective behavior, reducing by 42% the odds of obesity. Sex moderated the association of fruits and vegetables consumption, alcohol use, and smoking with obesity. Strategies aiming to reduce obesity levels in older adults should focus on the promotion of multiple lifestyle health behaviors, particularly physical activity in order to decrease vulnerability risk in old age.

The Prevalence and Perceived Health Factors of Healthy Eating and Active Living: An International Older Population-Based Study

Engaging in healthy eating and active living is an effective strategy for preventing noncommunicable diseases in older populations. The purposes were to compare the prevalence rates across countries and explore health factors associated with healthy eating and active living. The data were retrieved from a cross-sectional study conducted by the International Social Survey Program (2011 Health and Healthcare), with structured questionnaire surveys in 32 countries. The results showed that 38.42% reported active living and 39.11% reported healthy eating among 11,250 total respondents. Older adults with a long-standing illness or obesity who felt that they were not overcoming problems and had lost confidence were less likely to engage in healthy behavior. Perceived general health had a positive association with the odds of engaging in healthy eating and active living. The international comparisons provide a reference for local governments to decrease health disparities. Inspiring self-awareness about health might encourage older adults to pursue healthy lifestyles.

The prevalence and associated factors of underweight and overweight/obesity among adults in Kenya: evidence from a national cross-sectional community survey

INTRODUCTION

the study aimed to investigate the prevalence and factors associated with underweight and overweight or obesity in an adult population in Kenya.

METHODS

data from a cross-sectional nationally representative community-based study in Kenya (N=4283, 18-69 years) conducted in 2015 was utilized. Assessments included anthropometric, interview, blood pressure and biochemistry mesures. Multinomial logistic regression was used to assess the determinants of underweight and overweight or obesity relative to normal weight.

RESULTS

in all, 11.9% of the study sample was underweight (BMI <18.5kg/m2), 60.1% had normal weight (BMI 18.5-24.9kg/m2), 18.9% overweight (25.0-29.9kg/m2) and 9.1% obesity (BMI ≥30.0kg/m2). In adjusted multinomial logistic regression, male sex (adjusted relative risk ratio-ARRR: 1.47, confidence interval-CI: 1.01, 2.13), lower education (ARRR: 0.63, CI: 0.46, 0.88), lower wealth status (ARRR: 0.47, CI: 0.29, 0.78), inadequate fruit and vegetable consumption (ARRR: 1.79, CI: 1.19, 2.70), adding daily sugar into beverages (ARRR: 1.49, CI: 1.01, 2.22) and having no hypertension (ARRR: 0.54, CI: 0.40, 0.74) were associated with underweight. Factors associated with overweight or obesity were middle and older age (ARRR: 2.15, CI: 1.46, 3.80), being female (ARRR: 0.30, CI: 0.22, 0.41), higher education (ARRR: 1.61, CI: 1.26, 2.24), greater wealth (ARRR: 2.38, CI: 1.41, 3.50), being a Kikuyu by ethnic group (ARRR: 1.68, CI: 1.19, 2.37), urban residence (ARRR: 1.45, CI: 1.06, 1.99), no current tobacco use (ARRR: 0.39, CI: 0.24, 0.54), low physical activity (ARRR: 1.49, CI: 1.02, 2.18) and having hypertension (ARRR: 1.96, CI: 1.54, 2.50).

CONCLUSION

more than one in ten were underweight and almost three in ten were overweight or obese among adults in Kenya. Several risk factors, including sociodemographic, lifestyle and health status risk variables, were identified for underweight and overweight or obesity, which can assist in developing intervention strategies targeting both these conditions.

Factors associated with obesity in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) cohort: an observational cross-sectional analysis

OBJECTIVES

The aims of the study were to describe the prevalence of obesity in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) cohort, to identify demographic, clinical and HIV-specific factors associated with obesity, and to characterize the association between obesity and sociodemographic, clinical and HIV-specific factors and quality of life (QoL).

METHODS

A cross-sectional analysis was carried out of baseline data from the three groups ["older" people with HIV infection (PWH) aged ≥ 50 years, "younger" PWH aged < 50 years and HIV-negative controls aged ≥ 50 years] within the POPPY cohort. Obesity was defined as a body mass index (BMI) > 30 kg/m² .

RESULTS

A total of 1361 subjects were included in the study, of whom 335 (24.6%) were obese. The prevalence of obesity was higher in controls (22.3%) than in older (16.8%) and younger (14.2%) PWH, with no differences between the two groups of PWH. Factors associated with obesity were older age, female gender, black African ethnicity and alcohol consumption. Recreational drug use and a higher current CD4 T-cell count (in PWH) were associated with lower and higher odds of being obese, respectively. The presence of obesity was associated with worse physical health QoL scores, higher odds of having cardiovascular disease, type 2 diabetes and hypertension, but lower odds of having osteopenia/osteoporosis, irrespective of HIV status.

CONCLUSIONS

Despite a lower prevalence of obesity in PWH, specific subgroups (women, people of black African origin and older people) were more likely to be obese, and negative health consequences of obesity were evident, regardless of HIV status. Whether targeted preventive strategies can reduce the burden of obesity and its complications in PWH remains to be determined.

The prevalence of underweight and overweight/obesity and its correlates among adults in Laos: a cross-sectional national population-based survey, 2013

PURPOSE

The study aimed to assess the prevalence of underweight and overweight or obesity and their sociodemographic, lifestyle, and health factors in a national adult population in Lao People's Democratic Republic (PDR) (Laos).

METHODS

A national cross-sectional study based on a stratified cluster random sampling was conducted in 2013. The total sample included 2531 individuals 18-64 years, (females = 59.3%; mean age 38.7 years, SD = 12.8) from Laos. Questionnaire interview, blood pressure and anthropometric measurements, and biochemistry tests were conducted. Multinomial logistic regression was utilized to determine the association between sociodemographic, lifestyle and health status factors, and underweight and overweight or obesity relative to normal weight.

RESULTS

Using Asian criteria for body mass index (BMI) classification, 9.7% of the population was underweight (BMI < 18.5, kg/m²), 47.5% had normal weight (BMI 18.5-22.9 kg/m²), 17.5% overweight (23.0-24.9 kg/m²), 19.6% class I obesity (BMI 25.0-29.9 kg/m²), and 5.6% class II obesity (BMI ≥ 30.0 kg/m²) (or 42.8% overweight, class I or class II obesity). In adjusted multinomial logistic regression, female sex (adjusted relative risk ratio-ARRR 0.67, confidence interval-CI 0.45, 0.99), current tobacco use (ARRR 1.57, CI 1.02, 2.41), and having no hypertension (ARRR 0.50, CI 0.26, 0.97) were associated with underweight, and middle and older age (ARRR 1.79, CI 1.41, 2.25), being Lao-Tai (ARRR 1.37, CI 1.06, 1.76), urban residence (ARRR 1.62, CI 1.20, 2.17), having meals outside home (ARRR 1.36, CI 1.04, 1.77), no current tobacco use (ARRR 0.57, CI 0.34, 0.59), low physical activity (ARRR 1.39, CI 1.01, 1.92), having hypertension (ARRR 2.52, CI 1.94, 3.26), and dyslipidaemia (ARRR 1.56, CI 1.21, 2.00) were associated with overweight or obesity.

CONCLUSION

A dual burden of both adult underweight and overweight or obesity was found in Laos. Sociodemographic, lifestyle, and health status risk factors were identified for underweight and overweight or obesity, which can help in guiding public health programmes to address both these conditions.

LEVEL OF EVIDENCE

Level V, descriptive cross-sectional survey.

Frequency and variety of usual intakes of healthy foods, fruit, and vegetables predicts lower 6-year weight gain in young women

BACKGROUND/OBJECTIVES

We previously demonstrated that fruit and vegetable consumption, was associated with less weight gain over 6 years in young women for all body mass index (BMI) categories. This study evaluated the relationship between diet quality and 6-year weight change, in Australian women initially in the healthy weight range (≥18.5 BMI <25 kg/m²) at baseline.

SUBJECTS/METHODS

A total of 4083 young women (27-31 years) in the healthy weight range (≥18.5 BMI <25 kg/m²) enroled in the Australian Longitudinal study on Women's Health (ALSWH) were analysed. Diet quality was measured by the Australian Recommended Food Score (ARFS) and the Fruit and Vegetable Index (FAVI) using dietary data derived from a validated food frequency questionnaire. Weight change was calculated as the difference between baseline and 6-year follow-up weight (kg). Multiple linear regression models were used to analyse the association between baseline ARFS and FAVI and 6-year weight change.

RESULTS

At baseline, mean diet quality was low for both indices [ARFS (maximum 72) = 29.9 and FAVI (maximum 333) = 94.2] and women gained 3.7 kg of weight during 6 years of follow-up. Regression modelling revealed that every one point increase over 6 years in either the ARFS or FAVI score was associated with statistically significantly less weight gain over 6 years, although the amount was small (33 and 12 g, respectively).

CONCLUSIONS

Higher diet quality predicts lower prospective weight gain in young women however, further research is needed over a longer follow-up period and in diverse population groups.

Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1)

School attendance is an important foundational competency for children and adolescents, and school absenteeism has been linked to myriad short- and long-term negative consequences, even into adulthood. Many efforts have been made to conceptualize and address this population across various categories and dimensions of functioning and across multiple disciplines, resulting in both a rich literature base and a splintered view regarding this population. This article (Part 1 of 2) reviews and critiques key categorical and dimensional approaches to conceptualizing school attendance and school absenteeism, with an eye toward reconciling these approaches (Part 2 of 2) to develop a roadmap for preventative and intervention strategies, early warning systems and nimble response, global policy review, dissemination and implementation, and adaptations to future changes in education and technology. This article sets the stage for a discussion of a multidimensional, multi-tiered system of supports pyramid model as a heuristic framework for conceptualizing the manifold aspects of school attendance and school absenteeism.

Association between Alcohol Consumption and Body Mass Index in University Students

Objective: The aim of this study was to determine the correlation between alcohol consumption and body mass index in university students in Eastern Thailand. Methods: Undergraduate students (19-23 years, n = 396) were randomly surveyed via questionnaires, which included general information, alcohol consumption, and unhealthy food consumption. Average daily alcohol consumption was then calculated from grams of ethanol consumed per day. A subject, who has body mass index (BMI) more than 23 kg/m², was defined as excessive weight. Difference between genders of each variable was compared using independent t-test. Mean of each variable between groups was compared using analysis of variance (ANOVA). The correlation between average daily alcohol consumption and BMI, unhealthy consumption and BMI were analyzed by applying Pearson correlation coefficient. Results: 229 university students consumed alcohol (58%). After 229 subjects were divided into three categories, the average daily alcohol consumption of the overweight group was significantly higher than the underweight and normal weight groups in women; meanwhile, unhealthy food consumption frequencies was not different between groups. Average daily alcohol consumption levels for overweight group were 74.17 and 73.45 g/day in men and women, respectively. Furthermore, higher daily alcohol consumption was independently associated with higher BMI (95% confidence interval [CI] R = 0.161: p = 0.015; men R = 0.120: p = 0.236; women R = 0.214: p = 0.015). Conclusion: There was a positive relationship between alcohol consumption and BMI in university students in Eastern Thailand. This study supports that the daily alcohol consumption is a risk factor for excessive weight and gender may contribute to the correlation.

Prevalence and Predictors of Current and Former Tobacco Use among Older Adults in Indonesia

Purpose:

The study aims to describe sociodemographic and health variable indices related to current and former tobacco use among older adults who participated in the Indonesia Family Life Survey (IFLS-5) in 2014-15.

Materials and Methods:

A national population-based cross-sectional study was conducted with a probability sample of 8,001 aged 50 years or older Indonesians.

Results:

The overall prevalence of current tobacco use was 33.3% (62.2% in men and 6.5% in women) and former tobacco use was 9.8% (17.4% among men and 2.8% in women), of which 64.4% quit tobacco use when 50 years and older. In multinomial regression analysis, sociodemographic factors (being male, lower education, lower economic status, living in Java and rural residence) and health variables (cancer or malignant tumour, depression symptoms, functional disability and inadequate fruit and vegetable consumption) were associated with current tobacco use. In addition, being overweight or obese, having had a stroke, and other lung conditions were inversely associated with current tobacco use. Further, in adjusted analysis, sociodemographic factors (being 70 years and older, being male, living in Sumatra) and having chronic conditions (dyslipidemia, heart problems, asthma, stomach or digestive diseases and functional disability) were associated with former tobacco use.

Conclusions:

A high rate of current tobacco use and low rate of former tobacco use was found, particularly among men. The identified risk factors may help to better target this vulnerable population with tobacco cessation programmes.

Prevalence and correlates of underweight and overweight/obesity among women in India: results from the National Family Health Survey 2015-2016

Objective: The study aimed to assess the prevalence and correlates of underweight and overweight or obesity among women in India. Subjects and methods: In a population-based cross-sectional 2015-2016 National Family Health Survey, ever married non-pregnant women (18-49 years) were interviewed and assessed with anthropometric, blood pressure and biochemical measures. Results: The total sample included 5,82,320 non-pregnant women 18-49 years, median age 31 years, interquartile range =16 years, from India. Overall, 20.1% of the women were underweight [body mass index (BMI) <18.5 kg/m²] and 36.3% were overweight, or had class I or class II obesity (BMI ≥23.0 kg/m²). In adjusted multinomial logistic regression, younger age, lower education, lower wealth status, not eating daily fruits, vegetables, fried food, belonging to the scheduled tribe and tobacco use were associated with underweight, while older age, higher education, higher wealth, belonging to other backward class or other, urban residence, daily fruit consumption, daily fried food consumption, having hypertension, heart disease and high or very high blood glucose levels were associated with overweight or obesity. Belonging to the scheduled caste and tobacco use were negatively associated with overweight or obesity. Conclusions: A high dual burden of both underweight and overweight or obesity was observed among women in India. Sociodemographic and health variables were identified as risk factors for both underweight and overweight or obesity, which can be utilized in informing intervention strategies.

The associated risk factors for underweight and overweight high school students in Cambodia

PURPOSE

Overweight and underweight are one of the leading risk factors for non-communicable diseases (NCDs), but little research on this area has been undertaken in Cambodia. Therefore, this study aimed to measure underweight and overweight and their associated risk behaviors among Cambodian high school students.

METHODS

3806 students (mean ag = 15.65 years, SD = 1.80, age range = 11-18 years) from the 2013 Cambodia-Global School-based Student Health Survey were used to yield representative samples of the Cambodian students. Body Mass Index (BMI) was assessed by students' self-reported height and weight. The substance use, depression, eating behaviors, suicidal ideation, and violence were examined as risk factors. The Chi-square and multinomial regressions were performed to assess the relationships between risk factors and BMI.

RESULTS

The prevalence of underweight was 47.4% (N = 1805, Male = 23.3%vs.24.1%) and overweight was 2.3% (N = 89, Male = 1.0%vs.1.3%). The BMI was significantly controlled by age, gender, and body height. Both underweight and overweight students were significantly vulnerable to substance use, feeling depressed, and violent behaviors. Of the risk factors, shortest sleep was prevalent for underweight students while feeling lonely and suicide attempts were the critical risks for overweight students. The daily fruit/vegetable consumption and physical activity were good preventive factors of both underweight and overweight epidemics.

CONCLUSIONS

The risk behaviors of students appear to be strongly associated with underweight and overweight. Interventions targeting these risk behaviors may have the potential to reduce risks. Meanwhile, the preventive strategies should focus on vulnerable students who have poor academic performance, mental health issues and a history of violent experiences.

Food intake and energy expenditure in growing cats with and without a predisposition to overweight

Overweight and obesity are multifactorial diseases caused by an imbalance in energy metabolism. An underlying genetic predisposition is often a factor in these conditions. In the cat breeding family of the Institute of Animal Nutrition at the Vetsuisse Faculty, University of Zurich, a segregating overweight phenotype with a genetic contribution was observed. From this breeding family, 26 kittens were followed from birth up to 8 months of age. During this time, food intake was measured using an automatic feeding station, and energy expenditure was investigated using indirect calorimetry at the ages of 4 and 6 months. Dual-energy X-ray absorptiometry (DEXA) was performed and blood glucose, leptin and insulin were measured at the ages of 4, 6 and 8 months. The kittens were also weighed daily for the first 2 weeks of life, every second day until weaning and once per week until 8 months of age. The body condition score (BCS) was evaluated monthly between 2 and 8 months of age. The main finding of this study is that a predisposition to overweight is connected to a higher food intake early in life, with no significant alterations in energy expenditure. The leptin blood levels were related to body fat percentage, and insulin sensitivity did not seem to be affected.

Risk factors associated with overweight and obesity in HIV-infected people: Aging, behavioral factors but not cART in a cross-sectional study

Identifying risk factors associated with overweight and obesity in HIV-infected patients.A cross-sectional study analyzing data from patients attending an HIV outpatient unit. Overweight was defined as body mass index (BMI) ≥25 kg/m; <30 kg/m, obesity was ≥30 kg/m. Patients' characteristics contemporary to BMI assessment were collected. Multivariate logistic regression identified risk factors associated with overweight/obesity.Eight hundred sixty-two patients, median age 51 years, 21.5 years of HIV infection follow-up, 585 (68%) male, 829 (96%) receiving combined antiretroviral therapy (cART) for median 16.7 years, 768 (91%) HIV load <40 copies/mL, 618 (73%) CD4 ≥500 cells/mm; 266 (31%) HCV serology, 110 (13%) had detectable HCV-RNA. Overweight affected 191 (22%) patients and obesity 46 (5%). Overweight and obesity were associated with age, HIV follow-up duration, and HIV transmission risk group. Overweight was also associated with gender and HCV status. In patients with substance use data, overweight was associated with alcohol and nonsmoking status. Obesity was associated with nonsmoking and ex-smoker status. Overweight/obesity were not found associated with cART or immune cell counts.In HIV-infected people, aging, alcohol consumption, nonsmoking, and ex-smoker status, the absence of HCV coinfection and to have cleared HCV infection are associated with overweight and/or obesity. Clinicians should be aware of these trends and consider introducing weight management programs as part of routine HIV care.

Risk Factors Associated with Overweight and Obesity in Japanese-Brazilians

Objective

To estimate which risk factors (sociodemographic, lifestyle, and health conditions) are associated with overweight and obesity in Japanese-Brazilians.

Methods

This was a cross-sectional study carried out with Japanese-Brazilians living in the southern region of Brazil. Data were collected between March and December of 2016 through a household survey addressing sociodemographic characteristics, lifestyle, and health conditions. Data were analyzed by means of logistic regression considering 95% level of significance.

Results

A total of 542 Japanese-Brazilians with a mean age of 47.75 years were evaluated; 52.8% were eutrophic, 36.9% were overweight, and 10.3% were people with obesity. The following variables remained associated with overweight after adjustments; male gender (ORaj = 1.85, CI = 1.24-2.76), age range of 40-49 years (ORaj = 2.27, CI = 1.10-4.68), and 50 to 59 years (ORaj = 2.17, CI = 1.004-4.72), alcohol consumption (ORaj = 2.11, CI = 1.07-4.16), and presence of chronic disease (ORaj = 1.59, CI = 1.02-2.46). The following were independent factors associated with obesity: male gender (ORaj = 3.63, CI = 1.78-7.40), the presence of chronic disease (ORaj = 4.13, CI = 1.96-8.71), the age range of 30 to 39 years (ORaj = 4.74, CI = 1.65-13.64) and 40 to 49 years (ORaj = 2.89, CI = 1.05-7.95), and irregularly active lifestyle (ORaj = 2.73, CI = 1.12-6.69).

Conclusion

The results of this study show that being a male in the age range of 30-49 years old, alcohol consumption, and presence of chronic disease are associated with overweight and obesity in Japanese-Brazilians.

The Prevalence of Underweight, Overweight/Obesity and Their Related Lifestyle Factors in Indonesia, 2014-2015

Objective

To quantify the prevalence of underweight and overweight or obesity and its related factors (socio-demographic, health behavior, health status) in a national adult population in Indonesia.

Material and Methods

In a national cross-sectional population-based survey in 2014–15 in Indonesia, 29509 adults (median age 41.0 years, Inter Quartile Range = 22.0, age range of 18–103 years) completed questionnaires and anthropometric measurements. Multinomial logistic regression modelling was used to determine the association between socio-demographic, health behavior and health status factors and underweight and overweight or obesity.

Results

Of total sample (n = 29509), 11.2% measured underweight (13.5% among men and 9.1% among women) (<18.5 kg/m²), 39.8% normal weight (48.1% among men and 32.0% among women) and 49.0% had overweight or obesity (≥23 kg/m²) (38.3% among men and 58.9% among women); 24.6% of the overall sample had class I obesity (25–29.9 kg/m²), and 8.5% had class II obesity (30 or more kg/m²). Among different age groups, underweight was the highest among 18–29 year-olds (20.0%) and those 70 years and older (29.8%), while overweight or obesity was the highest in the age group 30 to 59 years (more than 53%). In adjusted multinomial logistic regression, having less education, living in rural areas and not having chronic conditions were associated with underweight status. While better education, higher economic status, urban residency, dietary behavior (infrequent meals, frequent meat, fried snacks and fast food consumption), physical inactivity, not using tobacco, having chronic conditions (diabetes, hypertension, hypercholesterol), and better perceived health and happiness status were associated with overweight or obesity.

Conclusions

A dual burden of both adult underweight and having overweight or obesity was found in Indonesia. Sociodemographic, health risk behavior and health status risk factors were identified, which can guide public health interventions to address both these conditions.