Association between the HTR2C rs1414334 C/G gene polymorphism and the development of the metabolic syndrome in patients treated with atypical antipsychotics

Few studies have assessed the association between the rs1414334 C/G polymorphism in the HTR2C gene and the development of the metabolic syndrome in patients treated with atypical antipsychotics. To provide further evidence, a cross-sectional study was conducted in Spain between 2012 and 2013 in 166 patients with these characteristics. In these patients, the association between the polymorphism and the presence of the metabolic syndrome was determined by implementing binary logistic regression models adjusted for variables associated with the metabolic syndrome. We did not confirm previous claims that the C allele of the polymorphism was linked to the metabolic syndrome: the association was in the opposite direction and non-significant. This conclusion held after taking gender and lifestyle variables into account.

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Characteristics of Pica Behavior among Mothers around Lake Victoria, Kenya: A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16142510 ◽

2019 ◽

Vol 16 (14) ◽

pp. 2510

Author(s):

Esther O. Chung ◽

Brian Mattah ◽

Matthew D. Hickey ◽

Charles R. Salmen ◽

Erin M. Milner ◽

...

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Lake Victoria ◽

Soft Rock ◽

Cross Sectional Study ◽

Postpartum Women ◽

Soil N ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models

Background: Pica, the craving and purposeful consumption of nonfoods, is poorly understood. We described the prevalence of pica among women on Mfangano Island, Kenya, and examined sociodemographic and health correlates. Methods: Our cross-sectional study included 299 pregnant or postpartum women in 2012. We used a 24-h recall to assess pica, defined as consumption of earth (geophagy), charcoal/ash, or raw starches (amylophagy) and built multivariable logistic regression models to examine sociodemographic and health correlates of pica. Results: Eighty-one women (27.1%) engaged in pica in the previous 24 h, with 59.3% reporting amylophagy and 56.8% reporting geophagy, charcoal, and/or ash consumption. The most common substances consumed were raw cassava (n = 30, 36.6%), odowa, a chalky, soft rock-like earth (n = 21, 25.6%), and soil (n = 17, 20.7%). Geophagy, charcoal, and/or ash consumption was negatively associated with breastfeeding (OR = 0.38, 95% CI: 0.18–0.81), and amylophagy was associated with pregnancy (OR = 4.31, 95% CI: 1.24–14.96). Pica was more common within one of six study regions (OR = 3.64, 95% CI: 1.39–9.51). We found no evidence of an association between food insecurity and pica. Conclusion: Pica was a common behavior among women, and the prevalence underscores the need to uncover its dietary, environmental, and cultural etiologies.

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Threshold Effects of Serum Uric Acid on Chronic Kidney Disease in US Women without Hypertension and Diabetes: A Cross-Sectional Study

Kidney & Blood Pressure Research ◽

10.1159/000502183 ◽

2019 ◽

Vol 44 (5) ◽

pp. 1036-1049 ◽

Cited By ~ 1

Author(s):

Guiping Hu ◽

Yi Bai ◽

Tian Chen ◽

Shichuan Tang ◽

Lihua Hu

Keyword(s):

Chronic Kidney Disease ◽

Logistic Regression ◽

Uric Acid ◽

Regression Models ◽

Inflection Point ◽

Cross Sectional Study ◽

Threshold Effects ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models

Background: Serum uric acid (SUA) has been associated with increased risk of chronic kidney disease (CKD) in observational studies; however, data in women without hypertension and diabetes are sparse. Purpose: To examine the association between SUA and CKD among women without hypertension and diabetes. Methods: In this cross-sectional study of 6,776 US women without hypertension and diabetes from the National Health and Nutrition Examination Survey (1999–2006), we investigated the relationship between SUA and CKD using multivariable logistic regression models. Moreover, a generalized additive model and smooth curve fitting (penalized spline method) and a 2 piecewise logistic regression models were conducted to address for nonlinearity. Results: The prevalence of CKD was 8.3%. Multiple logistic analyses showed that per 1 mg/dL increase in SUA was associated with 39% increased prevalence of CKD. Analyses using restricted cubic spline confirmed that the association between SUA and CKD was nonlinear. Further, threshold and saturation effect analysis showed that the inflection point of SUA was 4.5 mg/dL. The ORs (95% CIs) were 0.84 (0.66–1.08) on the left side of inflection point and 1.87 (1.56–2.24) on the right side of inflection point, respectively. Subgroup analysis showed that the stronger association between SUA and CKD was observed in elder women with never/former smoking and higher fasting blood glucose levels (all p values for interaction <0.05). Conclusion: Our study suggested threshold effects of SUA on the prevalence of CKD among US women without hypertension and diabetes. SUA levels >4.5 mg/dL were positively and independently associated with CKD.

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Postural Asymmetries and Assistive Devices Used by Adults With Cerebral Palsy in Lying, Sitting, and Standing

Frontiers in Neurology ◽

10.3389/fneur.2021.758706 ◽

2021 ◽

Vol 12 ◽

Author(s):

Elisabet Rodby-Bousquet ◽

Atli Agustsson

Keyword(s):

Cerebral Palsy ◽

Regression Models ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Assistive Devices ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

Change Position

Purpose: To describe the use of assistive devices and postural asymmetries in lying, sitting and standing positions in adults with cerebral palsy, and to analyze postural asymmetries and any associations with their ability to maintain or change position and time in these positions.Methods: A cross-sectional study based on data from the Swedish Cerebral Palsy follow-up program of 1,547 adults aged 16–76 years, at Gross Motor Function Classification System (GMFCS) levels I (n = 330), II (n = 323), III (n = 235), IV (n = 298), and V (n = 361). Assistive devices such as wheelchairs, seating systems, adjustable beds, standing equipment and time in each position were reported. The Posture and Postural Ability Scale was used to identify asymmetries and rate the ability to maintain or change position. Binary logistic regression models were used to estimate odds ratios (OR) for postural asymmetries in supine, sitting and standing.Results: Assistive devices were used by 63% in sitting (range 5–100% GMFCS levels I–V), 42% in lying (4–92% levels I-V), and 32% in standing (2–70% levels II–V). Wheelchairs were used as seating systems by 57%. Most adults had postural asymmetries in supine (75%; range 35–100% levels I–V), sitting (81%; 50–99% levels I–V) and standing (88%; 65–100% levels I–V). Men were more likely than women to have postural asymmetries, and the likelihood of postural asymmetries increased with age, GMFCS levels and inability to change position. Inability to maintain position increased the probability of postural asymmetries in all positions from OR 2.6 in standing to OR 8.2 in lying and OR 13.1 in sitting.Conclusions: Almost twice as many adults used assistive devices in sitting than in lying or standing. Two thirds of the adults who used standing devices used it for <1 h per day, indicating that they might spend the remaining 23 out of 24 h per day either sitting or lying. Asymmetric postures were frequent across all ages and were highly associated with inability to change or maintain position.

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Relationship between Serum Homocysteine and Metabolic Syndrome among Patients with Schizophrenia and Bipolar Disorder: A Cross Sectional Study

Iranian Journal of Psychiatry ◽

10.18502/ijps.v15i4.4292 ◽

2020 ◽

Author(s):

Shadi Naderyan Fe'li ◽

Seyed Mojtaba Yassini Ardekani ◽

Ali Dehghani

Keyword(s):

Metabolic Syndrome ◽

Bipolar Disorder ◽

Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Multivariable Logistic Regression Model ◽

Cross Sectional ◽

Exact Test ◽

The Metabolic Syndrome ◽

Significant Difference

Objective: This study aimed to compare the prevalence of metabolic syndrome and hyperhomocysteinemia and to specify predictors of the metabolic syndrome among patients with schizophrenia and bipolar disorder. Method: This cross sectional study was conducted on 100 patients with schizophrenia and 100 patients with bipolar disorder. The participants' metabolic syndrome was determined according to the criteria set by Third Report of the National Cholesterol Education Program–Adult Treatment Panel III. Hyperhomocysteinemia was considered as homocysteine levels higher than 15 µmol/L. Chi-square test, Fisher's exact test, student t test, Mann-Whitney test, and logistic regression were used for data analysis. Results: The prevalence of metabolic syndrome was not significantly different (P = 0.07) between patients with schizophrenia (27%) and bipolar disorder (39%). No statistically significant difference (P = 0.17) was observed between patients with schizophrenia (82%) and bipolar disorder (74%) in the prevalence of hyperhomocysteinemia. The results of multivariable logistic regression model showed a significant association of smoking and BMI with metabolic syndrome in patients with schizophrenia (OR = 3.69, 95% CI: 1.13-12.05, and OR = 1.38, 95% CI: 1.20-1.60, respectively). In patients with bipolar disorder, BMI was a significant predictor of developing metabolic syndrome (OR = 1.29, 95% CI: 1.14-1.47). Metabolic syndrome was more prevalent in women than in men in both diagnostic groups (P < 0.05). No significant difference was observed in hyperhomocysteinemia prevalence between male and female patients with schizophrenia (P = 1.00). However, hyperhomocysteinemia was more prevalent in males than in females among patients with bipolar disorder (P = 0.001). Conclusion: Findings showed a high prevalence of metabolic syndrome and hyperhomocysteinemia among patients with schizophrenia and bipolar disorder. To deal with this problem, regular monitoring and conducting early interventions are recommended to determine the metabolic risk profile and to prevent the cardiovascular diseases.

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The Impact of the COVID-19 Pandemic and Lockdown on Prevalence of and Risk Factors for Neck Pain Among College Students: a Cross-sectional Study

10.21203/rs.3.rs-701878/v1 ◽

2021 ◽

Author(s):

Amira Daher ◽

Ofra Halperin

Keyword(s):

Risk Factors ◽

College Students ◽

Logistic Regression ◽

Regression Models ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

Related Stress ◽

The Impact

Abstract Background: Neck pain (NP), one of the most reported musculoskeletal disorders, is a major cause of illness and absence from university lessons among students. The COVID-19 pandemic affected higher education institutions worldwide. Academic studies shifted to online-learning, changing students’ habits and lifestyle. Data demonstrated that the pandemic and consequent lockdowns can affect people’s physical and mental well-being. Thus, the aim of this study is to evaluate the impact of COVID-19 lockdowns on the prevalence of and risk factors of NP among college students compared to the pre-epidemic period. Methods: A cross-sectional study was conducted in the form of an online questionnaire survey that included sociodemographic data, Visual Analogue Scale (VAS), Neck Disability Index (NDI), and Perceived Stress Scale (PSS). NP was reported at four time points—lifetime, last year, last six months, and current—on a scale ranging from never/seldom to almost every day. Logistic regression models were calculated for all study variables and compared to the (NDI) cut-off score of 15. Results: A total of 295 college students were recruited. Among them, 35.6% reported at least moderate neck-related disability (NDI≥15) and significantly more NP than before the lockdown. NP increased gradually and significantly (on a scale 1-4), from a lifetime mean of 1.80 to a mean of 2.57 last year to 2.73 during the past six months to the current mean of 3.07 (p< .001). Participants’ scores on the PSS were moderate, with 59.3% reporting a high level of study-related stress. Logistic regression models revealed that sitting more than three hours a day, high study-related stress and higher PSS and VAS scores were associated with higher risk of at least a moderate level of neck-related disability (R2=.513, p< .001). Conclusions: The transition from on-campus studies to online learning had negative effects on students. It significantly increased study-related stress and the development of NP. Identifying risk factors at an early stage may prevent NP from becoming chronic and affecting students’ future careers, thereby improving students’ quality of life.

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Anxiety and Depression in Health Workers and General Population During COVID-19 Epidemic in IRAN: A Web-Based Cross-Sectional Study

10.1101/2020.05.05.20089292 ◽

2020 ◽

Cited By ~ 7

Author(s):

Leila Hassannia ◽

Fatemeh Taghizadeh ◽

Mahmood Moosazadeh ◽

Mehran Zarghami ◽

Hassan Taghizadeh ◽

...

Keyword(s):

Logistic Regression ◽

General Population ◽

Regression Models ◽

Health Workers ◽

Cross Sectional Study ◽

Anxiety And Depression ◽

Depression Symptoms ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models

ABSTRACTBackgroundThe COVID-19 outbreak has exerted a great deal of psychological pressure on Iranian health workers and the general population. In the present study, the prevalence of anxiety and depression symptoms along with the related variables in this epidemic were investigated.MethodAn online cross-sectional study was conducted for the general public and healthcare workers in IRAN using a questionnaire comprised of demographic questions and Hospital Anxiety and Depression Scale. Chi square test was used to compare categorical variables, and univariate and multivariate logistic regression models were conducted.ResultsOf the 2045 participants,1136 (65.6%) were considered to have moderate and severe anxiety symptoms, and 865(42.3%) had moderate and severe depression symptoms. Based on the logistic regression models, the prevalence of anxiety was higher in the females than in the males (OR=1.4, 95% CI: 1.123-1.643, P=.002); the prevalence of anxiety was significantly higher in those aged 30-39 years than in other age groups (OR=1.6, 95% CI: 1.123-2.320, P=0.001); furthermore, the prevalence of anxiety and depression was significantly higher in doctors and nurses compared with other occupations (OR=1.9, 95% CI: 1.367-2.491, P< 0.001) and(OR=1.5, 95% CI: 1.154-2.021, P=0.003). In addition, the prevalence of anxiety symptoms in the likely-infected COVID-19 group was higher than in the noninfected COVID-19 group (OR=1.35, 95% CI: 1.093-1.654, P=0.005).ConclusionsRegarding the high prevalence of anxiety and depression symptoms, especially among health care workers, appropriate psychological/psychiatric intervention necessitates.

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The multimorbidity of hypertension and osteoarthritis and relation with sleep quality and hyperlipemia/hyperglycemia in China’s rural population

Scientific Reports ◽

10.1038/s41598-021-96523-0 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Li Ran ◽

Qi Chen ◽

Jingyi Zhang ◽

Xinlong Tu ◽

Xiaodong Tan ◽

...

Keyword(s):

Sleep Quality ◽

Regression Models ◽

Joint Effect ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Additive Interaction ◽

Cross Sectional ◽

Logistic Regression Models ◽

Remote Rural Area

AbstractHypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.

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A Cross-Sectional Study of Socioeconomic Status and the Metabolic Syndrome in Korean Adults

Annals of Epidemiology ◽

10.1016/j.annepidem.2006.10.007 ◽

2007 ◽

Vol 17 (4) ◽

pp. 320-326 ◽

Cited By ~ 62

Author(s):

Min Jung Park ◽

Kyung Eun Yun ◽

Go Eun Lee ◽

Hong Jun Cho ◽

Hye Soon Park

Keyword(s):

Metabolic Syndrome ◽

Socioeconomic Status ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Korean Adults ◽

The Metabolic Syndrome

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The association between meat consumption and the metabolic syndrome: a cross-sectional study and meta-analysis

British Journal Of Nutrition ◽

10.1017/s0007114521002452 ◽

2021 ◽

pp. 1-15

Author(s):

Khemayanto Hidayat ◽

Wan-Zhan Zhu ◽

Si-Min Peng ◽

Jin-Jin Ren ◽

Meng-Lan Lu ◽

...

Keyword(s):

Metabolic Syndrome ◽

Fish Consumption ◽

Meta Analysis ◽

Meat Consumption ◽

Cross Sectional Study ◽

Red Meat ◽

Inverse Association ◽

Sectional Study ◽

Cross Sectional ◽

The Metabolic Syndrome

Abstract The findings regarding the associations between red meat, fish and poultry consumption, and the metabolic syndrome (Mets) have been inconclusive, and evidence from Chinese populations is scarce. A cross-sectional study was performed to investigate the associations between red meat, fish and poultry consumption, and the prevalence of the Mets and its components among the residents of Suzhou Industrial Park, Suzhou, China. A total of 4424 participants were eligible for the analysis. A logistic regression model was used to estimate the OR and 95 % CI for the prevalence of the Mets and its components according to red meat, fish and poultry consumption. In addition, the data of our cross-sectional study were meta-analysed under a random effects model along with those of published observational studies to generate the summary relative risks (RR) of the associations between the highest v. lowest categories of red meat, fish and poultry consumption and the Mets and its components. In the cross-sectional study, the multivariable-adjusted OR for the highest v. lowest quartiles of consumption was 1·23 (95 % CI 1·02, 1·48) for red meat, 0·83 (95 % CI 0·72, 0·97) for fish and 0·93 (95 % CI 0·74, 1·18) for poultry. In the meta-analysis, the pooled RR for the highest v. lowest categories of consumption was 1·20 (95 % CI 1·06, 1·35) for red meat, 0·88 (95 % CI 0·81, 0·96) for fish and 0·97 (95 % CI 0·85, 1·10) for poultry. The findings of both cross-sectional studies and meta-analyses indicated that the association between fish consumption and the Mets may be partly driven by the inverse association of fish consumption with elevated TAG and reduced HDL-cholesterol and, to a lesser extent, fasting plasma glucose. No clear pattern of associations was observed between red meat or poultry consumption and the components of the Mets. The current findings add weight to the evidence that the Mets may be positively associated with red meat consumption, inversely associated with fish consumption and neutrally associated with poultry consumption.

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