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1.
J Family Med Prim Care ; 10(7): 2646-2654, 2021 Jul.
Article in English | MEDLINE | ID: mdl-34568150

ABSTRACT

BACKGROUND: Proper diet is necessary to control hypertension and diabetes. This paper describes the combined fruit and vegetable, and salt intake of adults (>=18 years) who were detected to have hypertension or diabetes. METHODS: We analysed the data from a state-wide survey of 12012 adults using the World Health Organization STEPs for NCD risk factor surveillance. We evaluated the recommended intake of fruit and vegetable (>=5 servings/day) and salt (<5 gm/day) across participants divided into four strata, and the probabilities were also estimated using the fitted multiple binary logistic regression models. RESULTS: Overall, 13.9% (95%CI: 12.2%-15.9%) and 29.4% (95%CI: 28%-30.8%) of participants consumed the recommended level of fruit and vegetable, and salt, respectively. Adjusted odds ratios were not significantly different across the four strata based on the status of treatment and control of diabetes or hypertension. The likelihood of following the recommended fruit and vegetable intake was highest for 50-69-year-old females with above high school education, obese, under treatment for diabetes or hypertension, and had normal values of FBS and BP (0.28). The likelihood for recommended salt intake was highest for 50-69-year-old males with above high school education and had normal BMI, under treatment for diabetes or hypertension, and had normal values of FBS and BP (0.69). CONCLUSION: The status of diabetes or hypertension did not show considerable influence in the fruit, vegetable, and salt intake of adults in general. A detailed exploration of the accessibility and acceptability of such recommended intakes in the Kerala context is warranted.

2.
BMJ Open ; 9(11): e027880, 2019 11 10.
Article in English | MEDLINE | ID: mdl-31712329

ABSTRACT

OBJECTIVE: To estimate the prevalence of non-communicable disease (NCD) risk factors in Kerala. DESIGN: A community-based, cross-sectional survey. PARTICIPANTS: In 2016-2017 a multistage, cluster sample of 12 012 (aged 18-69 years) participants from all 14 districts of Kerala were studied. MAIN OUTCOME MEASURES: NCD risk factors as stipulated in the WHO's approach to NCD risk factors surveillance were studied. Parameters that were studied included physical activity score, anthropometry, blood pressure (BP), and fasting blood glucose (FBG) and morning urine sample to estimate dietary intake of salt. RESULTS: The mean age was 42.5 years (SD=14.8). Abdominal obesity was higher in women (72.6%; 95% CI 70.7 to 74.5) compared with men (39.1%; 95% CI 36.6 to 41.7), and also higher among urban (67.4%; 95% CI 65.0 to 69.7) compared with rural (58.6%; 95% CI 56.6 to 60.5) residents. Current use of tobacco and alcohol in men was 20.3% (95% CI 18.6 to 22.1) and 28.9% (95% CI 26.5 to 31.4), respectively. The estimated daily salt intake was 6.7 g/day. The overall prevalence of raised BP was 30.4% (95% CI 29.1 to 31.7) and raised FBG was 19.2% (95% CI 18.1 to 20.3). Raised BP was higher in men (34.6%; 95% CI 32.6 to 36.7) compared with women (28%; 95% CI 26.4 to 29.4), but was not different between urban (33.1%; 95% CI 31.3 to 34.9) and rural (29.8%; 95% CI 28.3 to 31.3) residents. Only 12.4% of individuals with hypertension and 15.3% of individuals with diabetes were found to have these conditions under control. Only 13.8% of urban and 18.4% of rural residents did not have any of the seven NCD risk factors studied. CONCLUSION: Majority of the participants had more than one NCD risk factor. There was no rural-urban difference in terms of raised BP or raised FBG prevalence in Kerala. The higher rates of NCD risk factors and lower rates of hypertension and diabetes control call for concerted primary and secondary prevention strategies to address the future burden of NCDs.


Subject(s)
Diabetes Mellitus/epidemiology , Hypertension/epidemiology , Obesity, Abdominal/epidemiology , Adolescent , Adult , Aged , Blood Glucose , Blood Pressure , Cross-Sectional Studies , Female , Humans , India/epidemiology , Male , Middle Aged , Prevalence , Risk Factors , Rural Population/statistics & numerical data , Sex Factors , Urban Population/statistics & numerical data , Young Adult
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