Context: Competitive exams conducted for undergraduate and postgraduate medical courses in India are tough. The undergraduate course is additionally taxing to the students’ health. Lack of physical activity, the stress of studies, and universal adoption of different gadgets make the undergraduate medical students prone to develop musculoskeletal pain-related issues. Aims: This study aimed to evaluate the prevalence of neck pain and the associated factors including gadget use among undergraduate medical students of a premier medical college in central India. Settings and Design: All undergraduate medical students including the interns of our institute were enrolled for this cross-sectional study. Methods and Materials: A self-explanatory internet-based questionnaire prepared using Kobo Toolbox was circulated via WhatsApp and email by the class representative of each batch of students. The responses obtained were analyzed using Statistical Package for the Social Sciences (SPSS). Statistical Analysis Used: Proportions and means were calculated. Chi-square test and univariable logistic regression analysis were used. Results: Three hundred thirty-one valid responses out of 423 responses were analyzed. In total, 58.3% of 331 students suffered from neck pain within the last one year. Students in the 3 rd and 4 th year had 2.9 times higher odds of current neck pain in comparison to 1 st -year students. History of neck pain before joining the course was associated with a higher risk of having current neck pain. Self-perceived aggravation of pain from gadget use had significantly higher odds of contributing to the current episode of neck pain. Conclusions: Neck pain is not uncommon among undergraduate medical students. History of previous neck pain including that during schooling makes a student prone for the current episode of pain. Academic stress, smartphone and laptop use tend to aggravate the pain in those who have neck pain.

Background Periodic information on risk factor distribution is critical for public health response for reduction in non-communicable disease (NCDs). For this purpose, the WHO has developed STEPs wise approach. State representative population-based STEPS survey was last conducted in 2007–08 in seven states of In India. Since then no such work has been reported from low ETL states. This survey was carried out to assess the prevalence of risk factors associated with NCDs and the prevalence of NCDs in the low ETL state of Madhya Pradesh using the WHO STEPs approach. Methods A total of 5680 persons aged 18–69 years were selected from the state of Madhya Pradesh using multi-stage cluster random sampling. Using the WHO STEPs approach, details were collected on demographics, STEP 1 variables (tobacco consumption, alcohol consumption, physical activity, diet), STEP 2 variables (weight, height, waist circumference, blood pressure) and STEP 3 variables (fasting blood glucose, blood cholesterol). Results We found that 9.4% individuals smoked tobacco, 15.3% were overweight/obese, 22.3% had hypertension, and 6.8% have diabetes mellitus. As compared to women, men were less likely to be overweight or obese, but more likely to smoke tobacco, and have diabetes mellitus. Hypertension was also more common in men. Overall, about a fourth of all adults had three or more risk factors for cardiovascular disease. Conclusion The survey shows that a large section of the population from Madhya Pradesh is either suffering from NCDs or have risk factors which predispose them to acquire NCDs. This state representative survey provides benchmarking information for behavioural and biological risk factor distribution for recently scaled up National Programme for the Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases, and Stroke (NPCDCS).

BackgroundThe success of the Community Based Management of Severe Malnutrition (CSAM) programme largely depends on the knowledge and skills of Front-Line Workers (FLWs). A robust supportive supervision system in CSAM should be tailored to individualistic learning needs by distinguishing the FLWs as per their ability and simultaneously identifying the task domains to be emphasized more in supervisory visits. This paper details the ability assessment strategy developed and employed in the selected geographical locations in Madhya Pradesh (Central India) among the 197 Anganwadi workers (FLWs involved in CSAM implementation). MethodologyA 25 items tool was developed based on an analytical construct for ability estimation through Rasch Analysis (RA). RA models the probability of right/wrong answers as a function of a person (participants) and item (questions) parameters and calculates the item difficulty in relation to personability on the same unidimensional linear scale. Suitable visualization like item characteristic curve (ICC), person item map (PIM) and quadratic allocation were plotted in RA. The data fitting to the Rasch model (Rasch diagnostic) was tested by numeric (Anderson LR and Wald test) and graphical methods. ResultsThe item easiness parameter (β) value related to Diarrhoeal assessment was lowest (-2.32, -2.91 to -1.73) and related to peer assessment meaningful action (2.009, 1.669-2.348)) was highest (most difficult). Anderson LR test (LR=31.32, df=24, p=0.079) showed the absence of global outliers. Quadrant analysis using the permutations of ability score and adjusted burden of malnutrition further mapped 41/197 (20.8%) FLWs to low ability -high burden quadrant and 44/197(25%) as low ability low burden quadrant. ConclusionRasch assessment may address the innate challenges to maintain homogeneity, discrimination capacity and linearity in a raw score-based measurement construct. The monitoring strategy developed on this thus may offer a judicious, pragmatic and thematic approach to supportive supervision in the CSAM program.

Background: One key barrier to proper management of common cardio-metabolic conditions such as diabetes and hypertension in primary care is inadequate adherence to treatment, which, in many cases, results from inadequate follow-up at scheduled appointments. In addition to provider and health system level factors, individual patient level factors are also associated with attendance at follow-up appointments. Objective: To document the association of diabetic, hypertensive diabetic, and hypertensive patient's demographic and clinical factors with showing up inadequately at scheduled appointments. Methods: A record-based retrospective follow-up study was conducted in an urban primary health center of Puducherry from January to March 2015. Registered diabetic, hypertensive diabetic, and hypertensive patients who made at least one visit between July and December 2014 were included. Data on demographic factors, clinical factors, and dates of visits to the clinic were collected from case records of patients and were entered in EpiData entry version 3.1. Analysis was performed using R statistical package. Results: Out of 366 patients, 79% were females and 70.2% were aged >50 years. It was found that 183 (50%) were diabetic, 266 (72.7%) were hypertensive, and 115 (31.4%) were hypertensive diabetic. Out of 366 patients, all the five follow-up visits were attended by 185 (50.6%) patients, and “adequate follow-up” was found in 123 (33.6%) patients. Young, underweight, and obese patients were more likely to have inadequate follow-up. Conclusion: Family physicians should give special attention to these groups in their routine practice along with providing targeted health education and implementing full proof mechanisms to track them.

Background National and statewide assessment of cardiovascular risk factors needs to be conducted periodically in order to inform public health policy and prioritise allocation of funds, especially in LMICs. Although there have been studies from India which have explored the determinants of cardiovascular risk factors, they have mostly been from high epidemiological transition states. The present study assessed the determinants of cardiovascular (CVD) risk factors in a low epidemiological transition state (Madhya Pradesh) using the WHO STEPwise approach to surveillance (STEPS). Methods A total of 5,680 persons aged 18–69 years were selected from the state of Madhya Pradesh through multi-stage cluster random sampling. Key CVD risk factors we sought to evaluate were from behavioural (tobacco, alcohol, physical activity, diet) and biological domains (overweight or obese, Hypertension, Diabetes, and Raised serum cholesterol). Key socio-demographic factors of interest were the caste and tribe groups, and rural vs urban location, in addition to known influencers of CVD risk such as age, gender and education level Results Those belonging to the scheduled tribes were more at risk of consuming tobacco (OR 2.13 (95% CI [1.52–2.98]), and a diet with less than five servings of fruits and vegetables (OR 2.78 (95% CI [1.06–7.24]), but had had the least risk of physical inactivity (OR 0.31 (95% CI [0.02–0.54]). Residence in a rural area also reduced the odds of physical inactivity (OR 0.65 (95% CI [0.46–0.92])). Lack of formal education was a risk factor for both tobacco consumption and alcohol intake (OR 1.40 (95% CI [1.08–1.82]) for tobacco use; 1.68 (95% CI [1.14–2.49]) for alcohol intake). Those belonging to schedules tribes had much lower risk of being obese (OR 0.25; 95% CI [0.17–0.37]), but were at similar risk of all other clinical CVD risk factors as compared to other caste groups. Conclusion In the current study we explored socio-demographic determinants of behavioural and biological CVD risks, and found that in Madhya Pradesh, belonging to a scheduled tribe or living in a rural location, protects against being physically inactive or being overweight or obese. Increasing age confers a greater CVD-risk in all domains. Being a male, and lack of formal education confers a greater risk for behavioural domains, but not for most clinical risk domains. Future efforts at curbing CVDs should be therefore two pronged –a population-based strategy targeting biological risk factors, and a more focussed approach directed at those displaying risky behaviour.