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Background Adults in urban areas spend almost 77% of their waking time being inactive at workplaces, which leaves little time for physical activity. The aim of this systematic review and meta-analysis was to synthesize evidence for the effect of workplace physical activity interventions on the cardio-metabolic health markers (body weight, waist circumference, body mass index (BMI), blood pressure, lipids and blood glucose) among working adults. Methods All experimental studies up to March 2018, reporting cardio-metabolic worksite intervention outcomes among adult employees were identified from PUBMED, EMBASE, COCHRANE CENTRAL, CINAHL and PsycINFO. The Cochrane Risk of Bias tool was used to assess bias in studies. All studies were assessed qualitatively and meta-analysis was done where possible. Forest plots were generated for pooled estimates of each study outcome. Results A total of 33 studies met the eligibility criteria and 24 were included in the meta-analysis. Multi-component workplace interventions significantly reduced body weight (16 studies; mean diff: − 2.61 kg, 95% CI: − 3.89 to − 1.33) BMI (19 studies, mean diff: − 0.42 kg/m 2 , 95% CI: − 0.69 to − 0.15) and waist circumference (13 studies; mean diff: − 1.92 cm, 95% CI: − 3.25 to − 0.60). Reduction in blood pressure, lipids and blood glucose was not statistically significant. Conclusions Workplace interventions significantly reduced body weight, BMI and waist circumference. Non-significant results for biochemical markers could be due to them being secondary outcomes in most studies. Intervention acceptability and adherence, follow-up duration and exploring non-RCT designs are factors that need attention in future research. Prospero registration number: CRD42018094436.

ABSTRACT Introduction: Dyslipidemia and mental illnesses are significant contributors to the global noncommunicable disease burden and studies suggest an association between them. Aim: Using data from a noncommunicable disease risk factor survey conducted in Haryana, India, we undertook a secondary data analysis to examine the association between lipids and depressive symptoms. Methods: The survey involved 5,078 participants and followed the World Health Organisation STEPwise approach to NCD risk factor surveillance approach. Biochemical assessments were undertaken in a subset of participants. Lipid markers were measured using wet chemistry methods. Depressive symptoms were assessed using the Patient Health Questionnaire-9. Descriptive statistics were presented for all variables; logistic regression was used for association analyses. Results: The mean age of the study population was 38 years and 55% of them were females. A majority of the participants belonged to a rural background. The mean total cholesterol was 176 mg/dL and approximately 5% of the participants were found to have moderate to severe depression. The association of total cholesterol (odds ratio [OR] 0.99, P = 0.84), LDL-cholesterol (OR = 1.00, P = 0.19), HDL-cholesterol (OR = 0.99, P = .76), and triglycerides (OR 1.00, P = .12) with depressive symptoms was not significant. Conclusion: This study did not find any association between lipids and depressive symptoms. However, further investigations using prospective designs are warranted to understand this relationship and complex interactions with other mediating factors better.

Background Statins are the most widely prescribed drugs for dyslipidemia and CAD. But evidence on their cognitive effects is conflicting. A unique genetic makeup and variable lipid patterns make South Asians more susceptible to statin adverse effects. But literature on statin safety in this group is scarce. We aimed to assess the cognitive status of adult Indian statin users over two years and explore factors associated with it. Methods A prospective cohort was established for cognitive profiling of adult statin users, visiting the out-patient cardiology department of a tertiary care center in North India. The Montreal Cognitive Assessment Scale measured cognitive function. Analysis was conducted using mixed-effects linear regression modelling to account for repeated measurements. Results 273 participants were enrolled. The mean cognitive score was 15. Age and education were significant predictors of cognition (P-value .005 and <.001 respectively). Participants over 60 scored had significantly lower scores and those who had completed secondary school and above scored significantly higher scores. No significant associations were observed between cognitive score and other covariates- sex, follow-up period, statin type and duration of use. Conclusion The statins-cognition relationship is controversial. This study demonstrated statistically significant relationships of cognition with age and education and showed no change in cognition over 2 years. The findings provide hypotheses for more in-depth assessments. Statins remain the most effective lipid-lowering treatment. However, further research is warranted for a more holistic understanding of the issue & optimizing their risk-benefit ratio.

Dyslipidemia and mental illnesses are significant contributors to the global noncommunicable disease burden and studies suggest an association between them. Using data from a noncommunicable disease risk factor survey conducted in Haryana, India, we undertook a secondary data analysis to examine the association between lipids and depressive symptoms. The survey involved 5,078 participants and followed the World Health Organisation STEPwise approach to NCD risk factor surveillance approach. Biochemical assessments were undertaken in a subset of participants. Lipid markers were measured using wet chemistry methods. Depressive symptoms were assessed using the Patient Health Questionnaire-9. Descriptive statistics were presented for all variables; logistic regression was used for association analyses. The mean age of the study population was 38 years and 55 of them were females. A majority of the participants belonged to a rural background. The mean total cholesterol was 176 mg/dL and approximately 5 of the participants were found to have moderate to severe depression. The association of total cholesterol (odds ratio [OR] 0.99, P = 0.84), LDL-cholesterol (OR = 1.00, P = 0.19), HDL-cholesterol (OR = 0.99, P = .76), and triglycerides (OR 1.00, P = .12) with depressive symptoms was not significant. This study did not find any association between lipids and depressive symptoms. However, further investigations using prospective designs are warranted to understand this relationship and complex interactions with other mediating factors better.