Association of dietary intake, physical activity, and sedentary behaviours with overweight and obesity among 282,213 adolescents in 89 low and middle income to high-income countries.

BACKGROUND: Adolescent overweight and obesity are well documented in high-income countries (HICs). They are also emerging as a global public health concern in low-and middle-income countries (LMICs), yet there is a lack of reliable, national-level data to inform policies and interventions. This study aimed to estimate the prevalence of overweight and obesity and assess associated lifestyle risk factors amongst school-going adolescents in LMICs as well as HICs. METHODS: A total of 282,213 samples were drawn from 89 LMICs and HICs in the 'latest Global School-based Student Health Survey' of school children, aged 11-17 years, during 2003 to 2015, in the six World Health Organisation (WHO) regions. The prevalence of adolescent overweight and obesity were estimated using the WHO BMI-for-age growth standards. A multinomial logistic regression model was employed to estimate the adjusted (age and sex) association of food patterns, physical activity, and sedentary behaviours with adolescent overweight and obesity. RESULTS: The pooled prevalence of overweight and obesity amongst adolescents was 10.12%, and 4.96%, respectively, ranging from 2.40% in Sri Lanka to 29.08% in Niue for overweight and 0.40% in Sri Lanka to 34.66% in the Cook Islands for obesity. Overweight and obesity were associated with unhealthy dietary intake and lifestyles including respectively fast-food intake (adjusted relative risk ratio, RRR = 1.09; 95% CI: 1.05-1.12 and RRR = 1.32; 95% CI: 1.26-1.38), a high level of carbonated soft drinks consumption (RRR = 1.19; 1.12-1.24 and RRR = 1.28; 1.18-1.38), a low level of physical activity (RRR = 1.11; 1.06-1.17 and 1.20; 1.12-1.28), and high level of sedentary behaviours (RRR = 1.33; 1.27-1.39 and RRR = 1.73; 1.63-1.84). Adolescents who consumed vegetables at least two times per day had a lower risk of overweight (22%) and obesity (17%) than those who did not consume vegetables per day. CONCLUSIONS: Adolescent overweight and obesity represent a global public health problem and can possibly track into adult weight status and morbidity. School-based obesity prevention that promotes environmental and policy changes related to healthy dietary practices and active living are urgently needed to curb the trend.

Weight Gain After Smoking Cessation and Risk of Major Chronic Diseases and Mortality.

Importance: Smoking cessation is frequently followed by weight gain; however, whether weight gain after quitting reduces the health benefits of quitting is unclear. Objective: To examine the association between weight change after smoking cessation and the risk of cardiovascular diseases (CVD), type 2 diabetes, cancer, chronic obstructive pulmonary disease (COPD), and all-cause mortality. Design, Setting, and Participants: This cohort study analyzed data from a nationally representative sample of Australian adults aged 18 years or older who were studied between 2006 and 2014. Smoking status and anthropometric measurements were self-reported annually. Cox proportional hazards regressions were used to determine the hazard ratios (HRs) for the association between changes in weight and body mass index (BMI) and the risk of CVD, type 2 diabetes, cancer, COPD, and mortality. Data were analyzed in January 2019. Exposures: Annual self-reported smoking status; years since quitting. Main Outcomes and Measures: Weight gain after quitting, incident CVD, type 2 diabetes, cancer, COPD, and all-cause mortality. Results: Of a total 16 663 participants (8082 men and 8581 women; mean [SD] age, 43.7 [16.3] years), those who quit smoking had greater increases in weight (mean difference [MD], 3.14 kg; 95% CI, 1.39-4.87) and BMI (MD, 0.82; 95% CI, 0.21-1.44) than continuing smokers. Compared with continuing smokers, the HRs for death were 0.50 (95% CI, 0.36-0.68) among quitters who lost weight, 0.79 (95% CI, 0.51-0.98) among quitters without weight change, 0.33 (95% CI, 0.21-0.51) among quitters who gained 0.1 to 5.0 kg, 0.24 (95% CI, 0.11-0.53) among quitters who gained 5.1 to 10 kg, and 0.36 (95% CI, 0.16-0.82) among quitters who gained more than 10 kg. The HRs for death were 0.61 (95% CI, 0.45-0.83) among quitters who lost BMI, 0.86 (95% CI, 0.51-1.44) among quitters without change in BMI, 0.32 (95% CI, 0.21-0.50) among quitters who gained up to 2 in BMI, and 0.26 (95% CI, 0.16-0.45) among quitters who gained more than 2 in BMI. Conclusions and Relevance: This cohort study found that smoking cessation was accompanied by a substantial weight gain; however, this was not associated with an increased risk of chronic diseases or an attenuation of the mortality benefit of cessation.

Lifestyle interventions for type 2 diabetes management among migrants and ethnic minorities living in industrialized countries: a systematic review and meta-analyses.

The objective of this systematic review was to determine the effectiveness of lifestyle interventions to improve the management of type 2 diabetes mellitus (T2DM) among migrants and ethnic minorities. Major searched databases included MEDLINE (via PubMed), EMBASE (via Ovid) and CINAHL. The selection of studies and data extraction followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. In the meta-analysis, significant heterogeneity was detected among the studies (I2 >50%), and hence a random effects model was used. Subgroup analyses were performed to compare the effect of lifestyle interventions according to intervention approaches (peer-led vs community health workers (CHWs)-led). A total of 17 studies were included in this review which used interventions delivered by CHWs or peer supporters or combination of both. The majority of the studies assessed effectiveness of key primary (hemoglobin (HbA1c), lipids, fasting plasma glucose) and secondary outcomes (weight, body mass index, blood pressure, physical activity, alcohol consumption, tobacco smoking, food habits and healthcare utilization). Meta-analyses showed lifestyle interventions were associated with a small but statistically significant reduction in HbA1c level (-0.18%; 95% CI -0.32% to -0.04%, p=0.031). In subgroup analyses, the peer-led interventions showed relatively better HbA1c improvement than CHW-led interventions, but the difference was not statistically significant (p=0.379). Seven studies presented intervention costs, which ranged from US$131 to US$461 per participant per year. We conclude that lifestyle interventions using either CHWs or peer supporters or a combination of both have shown modest effectiveness for T2DM management among migrants of different background and origin and ethnic minorities. The evidence base is promising in terms of developing culturally appropriate, clinically sound and cost-effective intervention approaches to respond to the growing and diverse migrants and ethnic minorities affected by diabetes worldwide.

Association between depression, anxiety and weight change in young adults.

BACKGROUND: To investigate whether there are bi-directional associations between anxiety and mood disorders and body mass index (BMI) in a cohort of young adults. METHODS: We analysed data from the 2004-2006 (baseline) and 2009-2011 (follow-up) waves of the Childhood Determinants of Adult Health study. Lifetime DSM-IV anxiety and mood disorders were retrospectively diagnosed with the Composite International Diagnostic Interview. Potential mediators were individually added to the base models to assess their potential role as a mediator of the associations. RESULTS: In males, presence of mood disorder history at baseline was positively associated with BMI gain (ß = 0.77, 95% CI: 0.14-1.40), but baseline BMI was not associated with subsequent risk of mood disorder. Further adjustment for covariates, including dietary pattern, physical activity, and smoking reduced the coefficient (ß) to 0.70 (95% CI: 0.01-1.39), suggesting that the increase in BMI was partly mediated by these factors. In females, presence of mood disorder history at baseline was not associated with subsequent weight gain, however, BMI at baseline was associated with higher risk of episode of mood disorder (RR per kg/m2: 1.04, 95% CI: 1.01-1.08), which was strengthened (RR per kg/m2 = 1.07, 95% CI: 1.00-1.15) after additional adjustment in the full model. There was no significant association between anxiety and change in BMI and vice-versa. CONCLUSION: The results do not suggest bidirectional associations between anxiety and mood disorders, and change in BMI. Interventions promoting healthy lifestyle could contribute to reducing increase in BMI associated with mood disorder in males, and excess risk of mood disorder associated with BMI in females.

Sex differences in risk factors for aneurysmal subarachnoid haemorrhage: Systematic review and meta-analysis.

BACKGROUND: Aneurysmal subarachnoid haemorrhage (aSAH) disproportionally affects women. We conducted a systematic review and meta-analysis to explore sex differences in aSAH risk factors. METHODS: Case-control/cohort studies were searched to November 2017 with sex-specific risk factors for aSAH. Meta-analysis was performed when a risk factor was reported in ≥2 studies. RESULTS: Of 31 studies, 22 were eligible for meta-analysis. Female sex was associated with greater odds of aSAH (HRadjusted 1.90 [1.47-2.46]. There was no detectable difference between the sexes for hypertension (ORadjusted: men 3.13 [2.26-4.34]; women 3.65 [2.87-4.63], p = .18), smoking (ORadjusted: men 2.96 [1.68-5.21]; women 3.11 [1.21-7.97], p = .95), aSAH family history, systolic blood pressure, age and some genetic variations. Alcohol (ORadjusted: men 1.50 [1.04-2.17]; women 0.83 [0.48-1.45], p = .003), high alanine aminotransferase levels, and some gene variants increased the risk of aSAH in men. Reproductive factors, divorce and some genetic variations increased the risk in women. High aspartate aminotransferase levels in men and, diabetes (ORadjusted: men 0.57 [0.32-1.01]; women 0.24 [0.13-0.43], p = .01) and parity in women reduced aSAH risk. CONCLUSION: We recommend sex-specific re-analysis of existing studies of aSAH risk factors. Known aSAH risk factors (hypertension, smoking and alcohol consumption) should be targeted to prevent aSAH in men and women. Registration PROSPERO (ID: CRD42018091521).

Prediction of 10-year Risk of Incident Heart Failure in Elderly Hypertensive Population: The ANBP2 Study.

BACKGROUND: Multivariable risk prediction models consisting of routinely collected measurements can facilitate early detection and slowing of disease progression through pharmacological and nonpharmacological risk factor modifications. This study aims to develop a multivariable risk prediction model for predicting 10-year risk of incident heart failure diagnosis in elderly hypertensive population. METHODS: The derivation cohort included 6083 participants aged 65 to 84 years at baseline (1995-2001) followed for a median of 10.8 years during and following the Second Australian National Blood Pressure Study (ANBP2). Cox proportional hazards models were used to develop the risk prediction models. Variables were selected using bootstrap resampling method, and Akaike and Bayesian Information Criterion and C-statistics were used to select the parsimonious model. The final model was internally validated using a bootstrapping, and its discrimination and calibration were assessed. RESULTS: Incident heart failure was diagnosed in 319 (5.2%) participants. The final multivariable model included age, male sex, obesity (body mass index > 30kg/m2), pre-existing cardiovascular disease, average visit-to-visit systolic blood pressure variation, current or past smoking. The model has C-statistics of 0.719 (95% CI: 0.705-0.748) in the derivation cohort, and 0.716 (95% CI: 0.701-0.731) after internal validation (optimism corrected). The goodness-of-fit test showed the model has good overall calibration (χ 2 = 1.78, P = 0.94). CONCLUSION: The risk equation, consisting of variables readily accessible in primary and community care settings, allows reliable prediction of 10-year incident heart failure in elderly hypertensive population. Its application for the prediction of heart failure needs to be studied in the community setting to determine its utility for improving patient management and disease prevention.

Incidence of heart failure in 6083 elderly hypertensive patients: the Second Australian National Blood Pressure Study (ANBP2).

AIMS: Hypertension is a known risk factor for the development of heart failure (HF); however, few data are available on the magnitude of short- and long-term progression from hypertension to HF. The present study aims to determine the short- and long-term incidence of HF, and identify factors associated with onset of HF in elderly hypertensive patients. METHODS AND RESULTS: The incidence of HF was measured in 6083 hypertensive patients, in the Second Australian National Blood Pressure Study (ANBP2), followed for a median of 10.8 years (4.1 years during the trial and 6.7 years during post-trial follow-up). A total of 373 cases of HF were identified over 59 581 person-years of follow-up (PY). The overall cumulative incidence of HF was 6.26 per 1000 PY; 5.33 per 1000 PY during the ANBP2 clinical trial and 7.04 per 1000 PY during the post-trial follow-up. HF was 63% higher among men [incidence rate ratios (IRR) 1.63, P < 0.01]. Older age, male sex, obesity, and history of cardiovascular disease independently predicted HF during both the short- and long-term follow-up. In addition, diabetes and smoking were associated with onset of HF in the short-term follow-up, and higher systolic blood pressure in the long-term follow-up. Median survival following diagnosis with HF was 3.94 years, and women (6.06 years) had a survival advantage over men (3.32 years). CONCLUSION: Heart failure is a frequent long-term outcome in treated elderly hypertensive patients. Development of HF was predicted by patient characteristics and co-morbidities, with the effect of some predictors varying over the short- and long-term follow-up.