OBJECTIVE: To explore the relationship between demographic factors and seasonal changes in mood and behaviour. METHOD: A health survey was conducted among 40-45 year old inhabitants in Hordaland County, Norway. The Global Seasonality Score, investigating seasonal symptoms, was given to 4299 men and 9983 women. Response rates among those receiving the questionnaire were 79.8% for men (n = 3432) and 81.2% for women (n = 8223). RESULTS: High seasonality was reported by 18.4% of men and 22.2% of women. Female gender, low educational level, high level of affective symptomatology and low household income correlated with high seasonality. Among men, being single was also a determinant factor for high seasonality. Reported seasonality also depended on which month the questionnaire was filled in. CONCLUSIONS: In this study, high seasonality was most prevalent among females, being single, having a low annual income and a low education level. The latter two findings are different from expectations which could be drawn from previous studies suggesting an opposite association.
OBJECTIVE: To explore the relationship between demographic factors and seasonal changes in mood and behaviour. METHOD: A health survey was conducted among 40-45 year old inhabitants in Hordaland County, Norway. The Global Seasonality Score, investigating seasonal symptoms, was given to 4299 men and 9983 women. Response rates among those receiving the questionnaire were 79.8% for men (n = 3432) and 81.2% for women (n = 8223). RESULTS: High seasonality was reported by 18.4% of men and 22.2% of women. Female gender, low educational level, high level of affective symptomatology and low household income correlated with high seasonality. Among men, being single was also a determinant factor for high seasonality. Reported seasonality also depended on which month the questionnaire was filled in. CONCLUSIONS: In this study, high seasonality was most prevalent among females, being single, having a low annual income and a low education level. The latter two findings are different from expectations which could be drawn from previous studies suggesting an opposite association.
Authors: John M Eagles; Jane E Andrew; Samantha M Wileman; Fiona L Howie; Isobel M Cameron; Simon A Naji Journal: J Affect Disord Date: 2002-08 Impact factor: 4.839
Authors: N E Rosenthal; D A Sack; J C Gillin; A J Lewy; F K Goodwin; Y Davenport; P S Mueller; D A Newsome; T A Wehr Journal: Arch Gen Psychiatry Date: 1984-01
Authors: W K B A Owiredu; Peter Kojo Brenya; Yaw Osei; Edwin Ferguson Laing; Clement Opoku Okrah; Christian Obirikorang; Enoch Odame Anto; Emmanuel Acheampong; Sampson Donkor Journal: BMC Res Notes Date: 2019-12-12