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Objectives: The present study analyzed the association between (i) eating habits during pregnancy, (ii) advice from family or friends about gestational weight gain (GWG), and iii) personal effort to stay within weight gain limits, and meeting GWG recommendations. Methods: Participants included pregnant and postpartum women who completed the validated electronic maternal health survey (EMat). Sociodemographic, lifestyle variables, and body mass index were covariates used in the analyses. Results: Among all eligible women (1171), and a subset of women receiving a specific GWG target from HCP (365, 31.2%), participants who considered that their eating habits became less healthy, or could not evaluate if habits changed, had a higher likelihood of gaining above (adjusted odds ratio, aOR = 2.62; 95% CI 1.84; 3.73 for the total sample (TS); aOR = 4.79; CI 2.32;9.88 for the subset) GWG guidelines after adjusting for the covariates. Women who received advice from family or friends about how much weight they should gain while pregnant were more likely to experience GWG below (TS: aOR = 1.49; CI 1.02;2.17; subset: aOR = 1.95; CI 1.03;3.68) and above (TS: aOR = 1.42; CI 1.01;1.99; subset: aOR = 1.92; CI 1.06;3.48) guidelines, when compared to women who did not receive family/friends advice. Moreover, lower personal effort to stay within weight gain limits was associated with gaining below (TS: aOR = 1.77; CI 1.07;2.92; subset: aOR = 2.71; CI 1.30; 5.65) GWG guidelines. Conclusions for Practice: Women self-reporting less healthy eating habits than before pregnancy, receiving advice from family/friends about GWG, and lower personal effort to stay within guidelines, had an increased odds of weight gain discordant with recommendations. [ABSTRACT FROM AUTHOR]

To investigate the potential influence of physical, psychological, and lifestyle factors on the association between TV-viewing and depressive symptoms among Brazilian adults. We used cross-sectional data from the Brazilian National Survey, conducted in 2013 with 60,202 adults (≥18 years). Information regarding exposure (TV-viewing), potential influencing factors (multimorbidity, mobility, self-rated health, tobacco use, alcohol consumption, sugar consumption, and physical activity) as well as elevated depressive symptoms (through PHQ-9 – score > 9) (outcome) was collected via interview-administered questionnaires. Data on covariates were self-reported. Body mass index was estimated through the assessment of body mass and stature. Mediation models were estimated through the Karlson-Holm-Breen method. Individuals who reported >5 h/d of TV viewing showed a higher prevalence of depressive symptoms than those with <5 h/d of TV viewing [8.1%(99%CI:7.6%–8.6%) vs 14.2%(99%CI:12.2%–16.6%)]. The association between TV-viewing and depressive symptoms was influenced by tobacco use (Overall: 7.22%; men: 4.46%, women: 8.59%), physical activity (men: 3.99%, women: 2.28%), mobility (overall: 11.31%, men: 10.85%, women: 11.03%), and multimorbidity (overall: 9.11%, men: 11.6%, women: 6.03%). Poor self-rated health influenced the association between TV-viewing and elevated depressive symptoms only among men (15.55%). Similarly, the association between >4 h/d of TV viewing and depressive symptoms was influenced by tobacco use (men: 6.8%, women: 11.7%), physical activity for women (5.5%), self-rated health for men (14.7%), mobility (men: 8.7%, women: 17.0%), and multimorbidity (men: 9.6%, women: 12.3%). Tobacco use, physical activity, mobility, multimorbidity, and self-rated health (men) mediate the relationship between high TV-viewing and elevated depressive symptoms. Longitudinal research is required to confirm/refute our data which may also be useful to contribute to public health interventions. [ABSTRACT FROM AUTHOR]