Experienced Poor Lighting Contributes to the Seasonal Fluctuations in Weight and Appetite That Relate to the Metabolic Syndrome

We tested which environmental, social, lifestyle, and health related factors of the individual contribute to the seasonal variations in mood and behavior and whether these influence the risks of the metabolic syndrome and major depressive disorder, both conditions having a high prevalence in industrialized populations. 5480 individuals, representative of the general population aged 30 and over in Finland, were assessed for metabolic syndrome using the ATP-III criteria, gave a self-report of seasonal variations in mood and behavior, and were interviewed for mood, anxiety, and alcohol use disorders using the DSM-IV criteria. The seasonal variations in mood and behavior have a metabolic factor composed of weight and appetite, and greater loadings on this factor increased the risk of metabolic syndrome (odds ratio of 1.18, 95% confidence interval of 1.10 to 1.26). Self-reports of lighting experienced as poor at home contributed to scores on the metabolic factor (t = 4.20, P < .0001). Lighting conditions and their dynamics may serve as a measure for intervention in order to influence the seasonal metabolic signals and in the end to prevent the metabolic syndrome

NPAS2 and PER2 are linked to risk factors of the metabolic syndrome

<p>Abstract</p> <p>Background</p> <p>Mammalian circadian clocks control multiple physiological events. The principal circadian clock generates seasonal variations in behavior as well. Seasonality elevates the risk for metabolic syndrome, and evidence suggests that disruption of the clockwork can lead to alterations in metabolism. Our aim was to analyze whether circadian clock polymorphisms contribute to seasonal variations in behavior and to the metabolic syndrome.</p> <p>Methods</p> <p>We genotyped 39 single-nucleotide polymorphisms (SNP) from 19 genes which were either canonical circadian clock genes or genes related to the circadian clockwork from 517 individuals drawn from a nationwide population-based sample. Associations between these SNPs and seasonality, metabolic syndrome and its risk factors were analyzed using regression analysis. The p-values were corrected for multiple testing.</p> <p>Results</p> <p>Our findings link circadian gene variants to the risk factors of the metabolic syndrome, since <it>Npas2 </it>was associated with hypertension (P-value corrected for multiple testing = 0.0024) and <it>Per2 </it>was associated with high fasting blood glucose (P-value corrected for multiple testing = 0.049).</p> <p>Conclusion</p> <p>Our findings support the view that relevant relationships between circadian clocks and the metabolic syndrome in humans exist.</p

Seasonal Changes in Mood and Behavior Are Linked to Metabolic Syndrome

BACKGROUND: Obesity is a major public health problem worldwide. Metabolic syndrome is a risk factor to the cardiovascular diseases. It has been reported that disruptions of the circadian clockwork are associated with and may predispose to metabolic syndrome. METHODOLOGY AND PRINCIPAL FINDINGS: 8028 individuals attended a nationwide health examination survey in Finland. Data were collected with a face-to-face interview at home and during an individual health status examination. The waist circumference, height, weight and blood pressure were measured and samples were taken for laboratory tests. Participants were assessed using the ATP-III criteria for metabolic syndrome and with the Seasonal Pattern Assessment Questionnaire for their seasonal changes in mood and behavior. Seasonal changes in weight in particular were a risk factor of metabolic syndrome, after controlling for a number of known risk and potential confounding factors. CONCLUSIONS AND SIGNIFICANCE: Metabolic syndrome is associated with high global scores on the seasonal changes in mood and behavior, and with those in weight in particular. Assessment of these changes may serve as a useful indicator of metabolic syndrome, because of easy assessment. Abnormalities in the circadian clockwork which links seasonal fluctuations to metabolic cycles may predispose to seasonal changes in weight and to metabolic syndrome

Protective and risk factors of metabolic syndrome in the Finnish population aged over 30 years (the second multivariate model).

<p>Protective and risk factors of metabolic syndrome in the Finnish population aged over 30 years (the second multivariate model).</p

Protective and risk factors of metabolic syndrome in the Finnish population aged over 30 years (the univariate models).

<p>Protective and risk factors of metabolic syndrome in the Finnish population aged over 30 years (the univariate models).</p

Protective and risk factors of metabolic syndrome in the Finnish population aged over 30 years (the first multivariate model).

<p>Protective and risk factors of metabolic syndrome in the Finnish population aged over 30 years (the first multivariate model).</p

Number of individuals w/o metabolic syndrome among the participants and their number being representative of the Finnish population aged over 30 years.

<p>Number of individuals w/o metabolic syndrome among the participants and their number being representative of the Finnish population aged over 30 years.</p