Factors associated with overweight and obesity in Lebanese male patients with schizophrenia

The association of maternal pre-pregnancy Body Mass Index and gestational weight gain with pregnancy and neonatal outcomes

BACKGROUND

Overweight and obesity epidemic is still expanding, and it is affecting women of childbearing age. Multiple studies have shown unmatched results concerning the effect of body mass index (BMI) besides gestational weight gain (GWG) on pregnancy and neonatal outcomes. This study aims to determine the effect of each of the two anthropometric indicators: pre-gestational BMI and gestational weight gain on the course of pregnancy, and neonatal outcomes.

METHODS

A retrospective study was conducted at Notre Dame de Secours University Hospital (CHU-NDS) Jbeil-Lebanon. The data was collected from the hospital archive. Out of 804 deliveries during 2020, 583 women were included after randomly choosing their files and eliminating those with exclusion criteria or incomplete data.

RESULTS

Underweight/healthy BMI mothers had a higher chance of having low GWG (45.5%), vaginal delivery (51.3%), and a baby of appropriate size (78.6%) or small size for gestational age (10.4%). Obese women had a higher risk of excessive GWG (49.3%), delivery via C-section. (69.3%), and large for gestational age babies (26.7%). Mothers who had low GWG were at a higher risk of having babies of appropriate size (80.1%) or small size for gestational age (13.1%). Mothers who had high GWG had a higher risk of having baby boys (58.9%), large for their gestational age (26.1%), with hypoglycemia at birth (20.6%).

CONCLUSION

Both extremes of BMI and GWG are linked to adverse neonatal outcomes. This highlights the importance of weight monitoring even during pregnancy to prevent its negative impact on neonates.

Overweight or Obesity among Chinese Han People with Schizophrenia: Demographic, Clinical and Cognitive Correlations

People with schizophrenia are more likely to be afflicted by obesity or overweight compared to the general population. This study aimed to explore the incidence of overweight and obesity, clinical features and cognitive performance of Chinese Han patients with chronic schizophrenia who had overweight or obesity. We obtained data from 985 schizophrenia inpatients about overweight and obesity through body mass index (BMI). All patients were evaluated with the positive and negative syndrome scale, the Mini-mental State Examination (MMSE) and the repeated battery for evaluation of the neuropsychological status (RBANS) scale. We collected demographic and clinical data using self-reported questionnaires. We divided patients into normal weight (BMI < 24 kg/m2), overweight (24 ≤ BMI < 28 kg/m2) and obese (≥28 kg/m2) groups according to the Working Group on Obesity in China (WGOC) criteria. We compared the clinical data between the three groups and then conducted binary logistic regression and linear regression to assess variables that were significantly associated with overweight and obesity and higher BMI. Of the sample, 324 (32.9%) and 191 (19.4%) patients had overweight and obesity, respectively. Patients who had overweight and obesity were younger, had less education, had higher waist and hip circumferences, higher rates of diabetes and a higher sumPANSP score (compared with patients in the normal group, p < 0.05). There were more female patients with obesity (compared with patients in the normal and overweight groups, p < 0.05). Logistic regression analysis indicated that overweight and obesity were associated with sumPANSP (OR = 1.03, 95%CI = 1-1.061, p = 0.049) and diabetes (OR = 1.891, 95%CI = 1.255-2.849, p = 0.002). Further linear regression showed that age (B = -0.004, t = -2.83, p = 0.005), educational level (B = -0.037, t = -2.261, p = 0.024), diabetes (B = 0.133, t = 2.721, p = 0.007) and sumPANSP (B = 0.008, t = 2.552, p = 0.011) were risk factors for higher BMI. We did not find cognitive performance differences between patients with or without overweight and obesity. Overweight and obesity were associated with some demographic and clinical factors in patients with persistent schizophrenia.

Determination of Quality of Life and Related Factors in Overweight Women Living in Rural Areas

Background

Obesity is more common among women living in rural areas of Türkiye and being overweight affects the quality of life of women.

Aim

Through this study, we aimed to determine the quality of life and related factors of overweight women living in rural areas.

Materials and Methods

This is a descriptive correlational study. The data were collected using the Personal Information Form and the Scale of Quality-of-Life Overweight Women (SMQLOW) between April and June 2020. The study sample comprised women with a body mass index (BMI) of 25 and above.

Results

The study included 201 women, 41.8% of the participants were in the 36-51 age group and 50.2% had a BMI between 30 and 49.2 (obese). It was determined that the quality of life of women was at a moderate level. The difference between the total SMQLOW score with respect to age, educational status, economic status, occupation of the spouse, general health status, and BMI were found to be statistically significant (P < 0.05). We examined the correlation of some variables with the total scale score of overweight women. A significant positive and weak correlation was found between weight and the SMQLOW total score (r = 0.390, P = 0.001). There was a positively weak and highly significant, correlation between waist circumference and SMQLOW total score (r = 0.277, P < 0.001).

Conclusion

Preventing obesity may improve the quality of life among rural women in the study Population.

Influencing factors of obesity in community patients with deficit schizophrenia: a cross-sectional study

Background

Obesity is very common in patients with schizophrenia. We aimed to evaluate the influencing factors of obesity in community patients with deficit schizophrenia, to provide implication for schizophrenia management in community.

Methods

We selected patients with deficit schizophrenia who lived in 10 communities in our city from March 1 to June 30, 2021. The characteristics of included schizophrenia patients were evaluated and analyzed. Pearson correlation analysis was conducted to evaluate the obesity and related characteristics. Logistic regression analyses were conducted to assess the risk factors of obesity in patients with schizophrenia.

Results

A total of 284 patients with schizophrenia were included, the incidence of obesity in patients with schizophrenia was 56.70%. gender (r = 0.619), waist circumference (r = 0.644), BMI (r = 0.891), diabetes (r = 0.698), FG (r = 0.582), triglyceride (r = 0.618), HDL-C (r = −0.644), LDL-C (r = 0.583), apolipoprotein B (r = 0.595), and PANSS score (r = 0.813) were all correlated with the obesity in patients with schizophrenia (all p < 0.05). Logistic regression analysis indicated that female (OR 2.129, 95% CI 1.615–3.022), waist circumference ≥ 90 cm (OR 3.814, 95% CI 2.778 ~ 4.312), diabetes (OR 2.856, 95% CI 1.905 ~ 3.448), FG ≥ 88 mg/dL (OR 1.551, 95% CI 1.284 ~ 2.183), triglyceride ≥ 160 mg/dL (OR 1.804, 95% CI 1.236–2.845), HDL-C ≤ 0.8 mmol/L (OR 2.032, 95% CI 1.614–3.079), LDL-C ≥ 2.0 mmol/L (OR 1.926, 95% CI 1.442–2.041) and apolipoprotein B ≥ 0.70 g/L (OR 2.119, 95% CI 1.658–2.873) were the risk factors of obesity in patients with schizophrenia (all p < 0.05).

Conclusions

The obesity rate of patients with deficit schizophrenia in the community is high, and there are many associated risk factors. Early intervention targeted on those risk factors are warranted to reduce the obesity in schizophrenia patients.