Jitendra Kumar Singh

BACKGROUND: Antenatal care has several benefits for expecting mothers and birth outcomes; yet many mothers do not utilise this service in Nepal. Mass media may play an important role in increasing the use of antenatal care and other maternal health services. However, the effect of mass media on increasing health service utilisation has remained an under studied area in Nepal. The aim of this study was to investigate the impact of mass media on the utilisation of antenatal care services in rural Nepal. METHODS: A community-based cross-sectional study was conducted in Sinurjoda Village Development Committee of Dhanusha District, Nepal. A total of 205 mothers of children aged under 1 year were selected using systematic random sampling. Logistic regression was employed to examine the association between selected antenatal care services and mass media exposure after adjusting for other independent variables. RESULTS: A majority of mothers were exposed to mass media. Radio was accessible to most (60.0%) of the participants followed by television (43.41%). Mothers exposed to mass media were more likely to attending antenatal visits [Odds ratio (OR) 6.28; 95% CI (1.01-38.99)], taking rest and sleep during pregnancy [OR 2.65; 95% CI (1.13-6.26)], and receiving TT immunization [OR 5.12; 95% CI (1.23-21.24)] than their non-exposed counterparts. CONCLUSIONS: The study reported a positive influence of mass media on the utilisation of antenatal care services in Nepal. Therefore, further emphasis should be given to increase awareness of women of rural Nepal through mass media to improve utilisation of antenatal care services in Nepal.

BACKGROUND: To determine correlation of multiple parameters of socioeconomic status with cardiovascular risk factors in India. METHODS: The study was performed at eleven cities using cluster sampling. Subjects (n = 6198, men 3426, women 2772) were evaluated for socioeconomic, demographic, biophysical and biochemical factors. They were classified into low, medium and high socioeconomic groups based on educational level (<10, 10-15 and >15 yr formal education), occupational class and socioeconomic scale. Risk factor differences were evaluated using multivariate logistic regression. RESULTS: Age-adjusted prevalence (%) of risk factors in men and women was overweight or obesity in 41.1 and 45.2, obesity 8.3 and 15.8, high waist circumference 35.7 and 57.5, high waist-hip ratio 69.0 and 83.8, hypertension 32.5 and 30.4, hypercholesterolemia 24.8 and 25.3, low HDL cholesterol 34.1 and 35.1, high triglycerides 41.2 and 31.5, diabetes 16.7 and 14.4 and metabolic syndrome in 32.2 and 40.4 percent. Lifestyle factors were smoking 12.0 and 0.5, other tobacco use 12.7 and 6.3, high fat intake 51.2 and 48.2, low fruits/vegetables intake 25.3 and 28.9, and physical inactivity in 38.8 and 46.1%. Prevalence of > = 3 risk factors was significantly greater in low (28.0%) vs. middle (23.9%) or high (22.1%) educational groups (p<0.01). In low vs. high educational groups there was greater prevalence of high waist-hip ratio (odds ratio 2.18, confidence interval 1.65-2.71), low HDL cholesterol (1.51, 1.27-1.80), hypertriglyceridemia (1.16, 0.99-1.37), smoking/tobacco use (3.27, 2.66-4.01), and low physical activity (1.15, 0.97-1.37); and lower prevalence of high fat diet (0.47, 0.38-0.57),overweight/obesity (0.68, 0.58-0.80) and hypercholesterolemia (0.79, 0.66-0.94). Similar associations were observed with occupational and socioeconomic status. CONCLUSIONS: Low educational, occupational and socioeconomic status Asian Indians have greater prevalence of truncal obesity, low HDL cholesterol, hypertriglyceridemia, smoking or tobacco use and low physical activity and clustering of > = 3 major cardiovascular risk factors.

OBJECTIVE: We conducted a multisite study to determine the prevalence and determinants of normotension, prehypertension, and hypertension, and awareness, treatment, and control of hypertension among urban middle-class subjects in India. METHODS: We evaluated 6,106 middle-class urban subjects (men 3,371; women, 2,735; response rate, 62%) in 11 cities for sociodemographic and biological factors. The subjects were classified as having normotension (BP < 120/80), prehypertension (BP 120-139/80-89), and hypertension (documented or BP ≥ 140/90). The prevalence of other cardiovascular risk factors was determined and associations evaluated through logistic regression analysis. RESULTS: The age-adjusted prevalences in men and women of normotension were 26.7% and 39.1%, of prehypertension 40.2% and 30.1%, and of hypertension 32.5% and 30.4%, respectively. The prevalence of normotension declined with age whereas that of hypertension increased (P-trend < 0.01). A significant association of normotension was found with younger age, low dietary fat intake, lower use of tobacco, and low obesity (P < 0.05). The prevalence of hypercholesterolemia, diabetes, and metabolic syndrome was higher in the groups with prehypertension and hypertension than in the group with normotension (age-adjusted odds ratios (ORs) 2.0-5.0, P < 0.001). The prevalences in men and women, respectively, of two or more risk factors were 11.1% and 6.4% in the group with normotension, 25.1% and 23.3% in the group with prehypertension, and 38.3% and 39.1% in the group with hypertension (P < 0.01). Awareness of hypertension in the study population was in 55.3%; 36.5% of the hypertensive group were receiving treatment for hypertension, and 28.2% of this group had a controlled BP (< 140/90 mm Hg). CONCLUSIONS: The study found a low prevalence of normotension and high prevalence of hypertension in middle-class urban Asian Indians. Significant associations of hypertension were found with age, dietary fat, consumption of fruits and vegetables, smoking, and obesity. Normotensive individuals had a lower prevalence of cardiometabolic risk factors than did members of the prehypertensive or hypertensive groups. Half of the hypertensive group were aware of having hypertension, a third were receiving treatment for it, and quarter had a controlled BP.

OBJECTIVES: To determine the prevalence of diabetes and awareness, treatment and control of cardiovascular risk factors in population-based participants in India. METHODS: A study was conducted in 11 cities in different regions of India using cluster sampling. Participants were evaluated for demographic, biophysical, and biochemical risk factors. 6198 participants were recruited, and in 5359 participants (86.4%, men 55%), details of diabetes (known or fasting glucose >126 mg/dL), hypertension (known or blood pressure >140/>90 mm Hg), hypercholesterolemia (cholesterol >200 mg/dL), low high-density lipoprotein (HDL) cholesterol (men <40, women <50 mg/dL), hypertriglyceridemia (>150 mg/dL), and smoking/tobacco use were available. Details of awareness, treatment, and control of hypertension and hypercholesterolemia were also obtained. RESULTS: The age-adjusted prevalence (%) of diabetes was 15.7 (95% CI 14.8 to 16.6; men 16.7, women 14.4) and that of impaired fasting glucose was 17.8 (16.8 to 18.7; men 17.7, women 18.0). In participants with diabetes, 27.6% were undiagnosed, drug treatment was in 54.1% and control (fasting glucose ≤130 mg/dL) in 39.6%. Among participants with diabetes versus those without, prevalence of hypertension was 73.1 (67.2 to 75.0) vs 26.5 (25.2 to 27.8), hypercholesterolemia 41.4 (38.3 to 44.5) vs 14.7 (13.7 to 15.7), hypertriglyceridemia 71.0 (68.1 to 73.8) vs 30.2 (28.8 to 31.5), low HDL cholesterol 78.5 (75.9 to 80.1) vs 37.1 (35.7 to 38.5), and smoking/smokeless tobacco use in 26.6 (23.8 to 29.4) vs 14.4 (13.4 to 15.4; p<0.001). Awareness, treatment, and control, respectively, of hypertension were 79.9%, 48.7%, and 40.7% and those of hypercholesterolemia were 61.0%, 19.1%, and 45.9%, respectively. CONCLUSIONS: In the urban Indian middle class, more than a quarter of patients with diabetes are undiagnosed and the status of control is low. Cardiovascular risk factors-hypertension, hypercholesterolemia, low HDL cholesterol, hypertriglyceridemia, and smoking/smokeless tobacco use-are highly prevalent. There is low awareness, treatment, and control of hypertension and hypercholesterolemia in patients with diabetes.

BACKGROUND: Multimorbidity [two or more conditions in addition to intellectual disability (ID)] is known to be more common among people with ID. However, the relationship between multimorbidity and lifestyle factors is currently unknown. The aim of this study was to determine the prevalence of multimorbidity in a population of adults with ID. We also aimed to identify risk factors, including lifestyle factors, for multimorbidity in this population. METHODS: This was a cross-sectional analysis using data from a diabetes screening study of 920 adults aged 18-74 years with ID living in Leicestershire, UK. We described comorbidities and the prevalence of multimorbidity in this population. We explored the relationship between multimorbidity and age, gender, ethnicity, severity of ID, socio-economic status, physical activity, sedentary behaviour, fruit and vegetable consumption and smoking status using multiple logistic regression. RESULTS: The prevalence of multimorbidity was 61.2% (95% CI 57.7-64.7). Multimorbidity was independently associated with being female (P < 0.001) and severe/profound ID (P = 0.004). Increasing age was of borderline significance (P = 0.06). Individuals who were physically inactive or sedentary were more likely to be multimorbid, independent of ability to walk, age, gender, severity of ID, ethnicity and socio-economic status (adjusted OR = 1.91; 95% CI 1.23-2.97; P = 0.004 and OR = 1.98; 95% CI 1.42-2.77; P < 0.001). After excluding probable life-long conditions (autism spectrum conditions, attention deficit hyperactivity disorders, epilepsy, cerebral palsy and other paralytic syndromes) as contributing comorbidities, the effect of sedentary behaviour, but not physical activity, remained (P = 0.004). We did not observe a relationship between multimorbidity, fruit and vegetable consumption and smoking status. CONCLUSIONS: Multimorbidity presents a significant burden to people with ID. Individuals who were physically inactive or sedentary were more likely to be multimorbid, but further work is recommended to explore the relationship between multimorbidity and lifestyle factors using standardised objective measures.