RESUMEN
Eating and sleeping behaviour are known to interact with each other, yet research is limited in the context of menopausal women. The aim of this study was to examine whether menopausal status is associated with perceived problems in sleeping. Furthermore, we studied different aspects of eating behaviour as potential risk factors for poor sleep in menopausal women. The present study is exploratory in nature, thus the results should be interpreted as hypothesis-generating. We analysed the sleeping and eating behaviour of 1098 women aged 47-55 years and represented different menopausal statuses with regression analyses. Over 20% of them reported fairly poor or poor perceived sleep quality. A higher number of postmenopausal women reported experiencing at least fairly poor sleep quality compared with the other menopausal groups. However, in regression models controlled for several confounding factors menopausal status was not associated with measures of sleep. Women who reported more snacking-type eating behaviour were more likely to report shorter sleep duration, and more daytime tiredness. Externally cued eating was associated with shorter sleep duration and emotional eating was associated with experiencing daytime tiredness. However, after adjusting for multiple testing, it appears that eating behaviour is associated only with daytime tiredness. Menopausal women with sleeping problems may benefit from nutritional interventions targeting eating behaviour.
Asunto(s)
Conducta Alimentaria , Menopausia , Calidad del Sueño , Humanos , Femenino , Persona de Mediana Edad , Conducta Alimentaria/fisiología , Menopausia/fisiología , Factores de Riesgo , Encuestas y Cuestionarios , Trastornos del Sueño-Vigilia/epidemiología , Fatiga/fisiopatología , Sueño/fisiologíaRESUMEN
BACKGROUND: Epigenetic clocks are composite markers developed to predict chronological age or mortality risk from DNA methylation (DNAm) data. The present study investigated the associations between 4 epigenetic clocks (Horvath's and Hannum's DNAmAge and DNAm GrimAge and PhenoAge) and physical functioning during a 3-year follow-up. METHOD: We studied 63- to 76-year-old women (N = 413) from the Finnish Twin Study on Aging. DNAm was measured from blood samples at baseline. Age acceleration (AgeAccel), that is, discrepancy between chronological age and DNAm age, was determined as residuals from linear model. Physical functioning was assessed under standardized laboratory conditions at baseline and at follow-up. A cross-sectional analysis was performed with path models, and a longitudinal analysis was conducted with repeated measures linear models. A nonrandom missing data analysis was performed. RESULTS: In comparison to the other clocks, GrimAgeAccel was more strongly associated with physical functioning. At baseline, GrimAgeAccel was associated with lower performance in the Timed Up and Go (TUG) test and the 6-minute walk test. At follow-up, significant associations were observed between GrimAgeAccel and lowered performance in the TUG, 6-minute and 10-m walk tests, and knee extension and ankle plantar flexion strength tests. CONCLUSIONS: The DNAm GrimAge, a novel estimate of biological aging, associated with decline in physical functioning over the 3-year follow-up in older women. However, associations between chronological age and physical function phenotypes followed similar pattern. Current epigenetic clocks do not provide strong benefits in predicting the decline of physical functioning at least during a rather short follow-up period and restricted age range.