Evidence for environment hypothesis: Cross-cultural measurement invariance of the composite scale of morningness across Bangladesh and Spain.

Morningness-eveningness reflects individual differences in circadian functioning and is related to health and well-being. Cross-cultural comparison could facilitate understanding of the environmental factors affecting morningness-eveningness, which requires establishing cross-cultural validity of the relevant assessment tools. In this study, we applied the Composite Scale of Morningness (CSM) to Bangladeshi (n = 1015; 37.9% women) and Spanish (n = 1054; 73.2% women) university students (aged 18-27 years) to evaluate alternative factorial models of the CSM and to test its measurement invariance across cultures. Moreover, this study tested environment hypothesis, suggesting that higher average temperatures and lower latitudes would be related to greater morningness. From nine competing factorial models, a bifactor model with two specific factors (morning preference and morning affect) showed the best fit for both cultures. The two-factor bifactor model had full metric invariance with partial scalar and strict invariance across cultures. The Bangladesh-Spain comparison of the CSM scores revealed higher morningness in Bangladeshi students which supports the environment hypothesis. Overall, this research confirms that morningness-eveningness construct is perceived and interpreted similarly by the Bangladeshi and Spanish students. Importantly, this study highlights the effects of environmental factors including latitude and temperature on morningness-eveningness, and thus facilitates further cross-cultural morningness-eveningness research.

Validation and psychometric properties of the Bangla version of positive mental health scale (PMH-scale).

Positive mental health is crucial to individuals' total well-being and especially to their emotional, psychological, and social functioning. To assess the positive aspects of mental health, the Positive Mental Health Scale (PMH-scale) is being used as one of the most significant and practical short unidimensional psychological tools. However, the PMH-scale has not yet been validated for the Bangladeshi population nor has it been translated into Bangla. Therefore, the purpose of this study was to investigate the psychometric properties of the Bangla version of PMH-scale and validate it with the Brief Aggression Questionnaire (BAQ) and Brunel Mood Scale (BRUMS). The sample of the study consisted of 3145 university students (61.8% men) aged from 17 to 27 (M = 22.07, SD = 1.74) and 298 general population (53.4% men) aged from 30 to 65 (M = 41.05, SD = 7.88) of Bangladesh. The factor structure of the PMH-scale as well as measurement invariance for sex and age (age ≤30 years; age >30 years) were tested, using the confirmatory factor analysis (CFA). The CFA revealed that the originally proposed unidimensional model of PMH-scale had a good fit in the current sample which confirms factorial validity of the Bangla version of PMH-scale. The value of Cronbach's alpha (for both groups combined α = 0.85; for the student sample α = .85; and for the general sample α = .73) ensured the high internal consistency of the items. Concurrent validity of the PMH-scale was confirmed through the expected correlation with aggression (BAQ) and mood (BRUMS). The PMH-scale was also partially invariant over groups (student, general, men and women) indicating that the PMH-scale is equally applicable to student, general, men and women population. Therefore, this study tells us that the Bangla version of PMH-scale is a quick and easy-to-administer tool for assessing positive mental health in different groups of people in Bangladeshi culture. This work will also be useful for mental health studies in Bangladesh.

Corrigendum "Bangla version of the Brunel Mood Scale (BRUMS): validity, measurement invariance and normative data in non-clinical sample"<[Heliyon 8 (6) (2022) e09666]>.

[This corrects the article DOI: 10.1016/j.heliyon.2022.e09666.].

Bangla version of the Brunel Mood Scale (BRUMS): validity, measurement invariance and normative data in non-clinical sample.

Mood assessment is an effective way to monitor mental health states and detect potential psychiatric symptoms. The Brunel Mood Scale (BRUMS) is one of the most widely used self-report measures for assessing mood responses. The current study examined the psychometric properties of the Bangla version of BRUMS and validated it with the Positive Mental Health scale (PMH-scale). The participants were 1015 Bangladeshi university students (62% men) aged from 18 to 27 (M = 21.95, SD = 1.95). The confirmatory factor analysis (CFA) approach was used to test the factor structure of the BRUMS and measurement invariance for sex. The CFA revealed that the originally proposed 6-factor model of BRUMS had an acceptable fit which confirms factorial validity. Moreover, each subscale (anger, confusion, depression, fatigue, tension, and vigor) of the BRUMS showed high internal consistency (α ranged from .77 to .87) and retest reliability (ICC ranged from .71 to .91). Concurrent validity of the BRUMS was supported through the hypothesized relationships with mental health (PMH-scale). Full measurement invariance by sex was confirmed for the 6-factor model indicating that the BRUMS is equally applicable to men and women. Finally, normative data were established which allows group comparison of mood scores. This study indicates that the Bangla version of BRUMS can be reliably used to assess mood response which facilitates mood-related research and intervention to improve mental health and reduce psychiatric disorders in Bangladesh.

Morningness-eveningness preference and shift in chronotype during COVID-19 as predictors of mood and well-being in university students.

It is suggested that social obligations, such as early work/school starts, have a disadvantageous impact on sleep behavior that can further transfer to mental health problems. Lockdown as a result of the COVID-19 pandemic created a unique opportunity to research human sleep-wake behavior in naturalistic conditions of decreased social obligations. This study aimed to test whether a change in habitual sleep-wake timing (shift in chronotype) during the COVID-19 lockdown impacted mood and well-being, and whether the impact differs according to morningness-eveningness preference. University students (N = 1011; Meanage = 21.95 ± 1.95 years) filled out self-report questionnaires containing measures of chronotype (midpoint of sleep) before and during the COVID-19 lockdown, morningness-eveningness preference, mood, and well-being. The impact of morningness-eveningness preference and shift in chronotype was tested via multiple regression analyses. Results showed that participants shifted their chronotype in line with their morningness-eveningness preference, and that shift toward earlier sleep-wake timing was related to better moods and well-being. Moreover, higher levels of positive mood (vigor) and well-being were found in individuals who shifted their sleep-wake timing earlier and were higher on morningness.

Sex differences in the relationship between morningness-eveningness components, mood and well-being among Bangladeshi university students.

On the Morningness/Eveningness (M/E) continuum, eveningness has been related to mood disorder and poor well-being. M/E differs between men and women throughout their lifespan. However, there is a lack of information on sex differences in the relationship between M/E, mood, and well-being. This study aimed to test sex differences in the M/E, mood, and well-being relationship with consideration of two components of M/E, morning affect, and morning preference. A sample of 981 Bangladeshi university students (607 men) aged 18 to 27 (M = 21.95) completed Bangla versions of the Composite Scale of Morningness (CSM), BRUnel Mood Scale (BRUMS), and Positive Mental Health scale (PMH-scale) through an online survey. Multiple regression analyses were used to test the relationship of M/E components with mood and well-being. The results showed that the relationship between M/E, mood, and well-being was greater in women than in men. A lower score on both M/E components was related to higher negative moods (anger, confusion, depression, fatigue, and tension) and poor well-being. In regression analysis, only morning affect was found to be significant, which means that morning affect mainly contributes to the relation between M/E, mood, and well-being. Finally, sex by morning affect interaction indicated that the relation was higher for women. Therefore, higher eveningness could be more hazardous for women than men. Greater insight into the independent contribution of morning affect may facilitate understanding of the chronotype effects on psychological outcomes in men and women.