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Background: There is now evolving data exploring the relationship between depression and various individual lifestyle factors such as diet, physical activity, sleep, alcohol intake, and tobacco smoking. While this data is compelling, there is a paucity of longitudinal research examining how multiple lifestyle factors relate to depressed mood, and how these relations may differ in individuals with major depressive disorder (MDD) and those without a depressive disorder, as 'healthy controls' (HC)., Methods: To this end, we assessed the relationships between 6 key lifestyle factors (measured via self-report) and depressed mood (measured via a relevant item from the Patient Health Questionnaire) in individuals with a history of or current MDD and healthy controls (HCs). Cross-sectional analyses were performed in the UK Biobank baseline sample, and longitudinal analyses were conducted in those who completed the Mental Health Follow-up., Results: Cross-sectional analysis of 84,860 participants showed that in both MDD and HCs, physical activity, healthy diet, and optimal sleep duration were associated with less frequency of depressed mood (all p < 0.001; ORs 0.62 to 0.94), whereas screen time and also tobacco smoking were associated with higher frequency of depressed mood (both p < 0.0001; ORs 1.09 to 1.36). In the longitudinal analysis, the lifestyle factors which were protective of depressed mood in both MDD and HCs were optimal sleep duration (MDD OR = 1.10; p < 0.001, HC OR = 1.08; p < 0.001) and lower screen time (MDD OR = 0.71; p < 0.001, HC OR = 0.80; p < 0.001). There was also a significant interaction between healthy diet and MDD status (p = 0.024), while a better-quality diet was indicated to be protective of depressed mood in HCs (OR = 0.92; p = 0.045) but was not associated with depressed mood in the MDD sample. In a cross-sectional (OR = 0.91; p < 0.0001) analysis, higher frequency of alcohol consumption was surprisingly associated with reduced frequency of depressed mood in MDD, but not in HCs., Conclusions: Our data suggest that several lifestyle factors are associated with depressed mood, and in particular, it calls into consideration habits involving increased screen time and a poor sleep and dietary pattern as being partly implicated in the germination or exacerbation of depressed mood.

Objective: Emerging evidence suggests that handgrip strength (a proxy for muscular fitness) is associated with better cognitive performance in people with major depressive disorder (MDD). The underlying processes are unclear, although hippocampal volume (HCV) reductions and white matter hyperintensities (WMHs) have been implicated. Therefore, we investigated the associations between handgrip strength and various brain region volumes and WMHs in MDD and healthy controls (HCs)., Methods: This study is a cross-sectional analysis of handgrip strength and neuroimaging data from the UK Biobank. Generalized linear models were used to assess the relationship between grip strength and gray matter, white matter, total brain volume, left and right hippocampus volume, and WMHs in MDD and HCs, adjusting for age, sex, education, and body weight., Results: The sample included 527 people with MDD (54.3 ± 7.3 years, 37.2% male) and 1764 HCs (56.6 ± 7.2 years, 53% male). In MDD, stronger handgrip was significantly associated with increased left (coefficient ± SE = 108.1 ± 27.6, t = 3.92) and right (76.8 ± 30.4, t = 2.53) HCV. In HCs, only right HCV related to handgrip strength (44.8 ± 18.1, t = 2.47). Interaction analyses found stronger associations between grip strength and HCV in MDD compared with HCs, for both hippocampal regions. Stronger handgrip was associated with reduced WMHs in people with MDD (-0.24 ± 0.07, t = -3.24) and HCs (-0.11 ± 0.04, t = -2.47). Maximal handgrip strength was not associated with gray matter, white matter, or total brain volumes in either group., Conclusions: Stronger grip strength is associated with greater left and right HCV and reduced WMHs in MDD. Future research should investigate directionality and consider if interventions targeting strength/muscular fitness can improve brain health and reduce the neurocognitive abnormalities associated with MDD.

Background: Previous physical activity (PA) research in schizophrenia has relied largely upon self-report measures. However, the accuracy of this method is questionable. Obtaining accurate measurements, and determining what may influence PA levels in schizophrenia, is essential to understand physical inactivity in this population. This study examined differences in self-reported and objectively measured PA in people with schizophrenia and the general population using a large, population-based dataset from the UK Biobank., Methods: Baseline data from the UK Biobank (2007-2010) were analyzed; including 1078 people with schizophrenia (54.19 ± 8.39 years; 55% male) and 450549 without (56.44 ± 8.11; 46% male). We compared self-reported PA with objectively measured accelerometry data in schizophrenia and comparison samples. We also examined correlations between self-report and objective measures., Results: People with schizophrenia reported the same PA levels as those without, with no differences in low, moderate, or vigorous intensity activity. However, accelerometry data showed a large and statistically significant reduction of PA in schizophrenia; as people with schizophrenia, on average, engaged in less PA than 80% of the general population. Nonetheless, within the schizophrenia sample, total self-reported PA still held significant correlations with objective measures., Conclusions: People with schizophrenia are significantly less active than the general population. However, self-report measures in epidemiological studies fail to capture the reduced activity levels in schizophrenia. This also has implications for self-report measures of other lifestyle factors which may contribute toward the poor health outcomes observed in schizophrenia. Nonetheless, self-report measures may still be useful for identifying how active individuals with schizophrenia relative to other patients.