| Literature DB >> 30666978 |
Zaozianlungliu Gonmei1, G S Toteja2.
Abstract
Micronutrients play an important role in the proper growth and development of the human body and its deficiency affects the health contributing to low productivity and vicious cycle of malnutrition, underdevelopment as well as poverty. Micronutrient deficiency is a public health problem affecting more than one-fourth of the global population. Several programmes have been launched over the years in India to improve nutrition and health status of the population; however, a large portion of the population is still affected by micronutrient deficiency. Anaemia, the most common form of micronutrient deficiency affects almost 50 to 60 per cent preschool children and women, while vitamin A deficiency and iodine-deficiency disorders (IDD) have improved over the years. This review focuses on the current scenario of micronutrient (anaemia, vitamin A, iodine, vitamin B12, folate, ferritin, zinc, copper and vitamin C) status in the country covering national surveys as well as recent studies carried out.Entities:
Keywords: Anaemia; ferritin; folate; iodine; vitamin A; vitamin B12
Mesh:
Substances:
Year: 2018 PMID: 30666978 PMCID: PMC6366258 DOI: 10.4103/ijmr.IJMR_1768_18
Source DB: PubMed Journal: Indian J Med Res ISSN: 0971-5916 Impact factor: 2.375
FigureTrend analysis of the prevalence of anaemia. Source: Refs 11, 16-20.
Some recent surveys carried out in India to assess the prevalence of vitamin B12 deficiency
| Study | Study area | Study design | Cut-off used for serum vitamin B12 | Prevalence (%) |
|---|---|---|---|---|
| Chakraborty | NCR Region and Haryana | Community-based cross-sectional study. | <148 pmol/l | 32.4 |
| School-going adolescents (n=2403) (11-17 yr) | ||||
| Gonmei | New Delhi | Community-based cross-sectional study. | <203 pg/ml | 36.4 |
| Elderly aged 60 and above (n=77) residing in slums | ||||
| Gupta | Himachal Pradesh | Community-based cross-sectional study. | <203 pg/ml | 7.4 |
| Schoolchildren (n=215) aged 6-18 yr | ||||
| Verma 2017 | Maharashtra | School-based cross-sectional study. | <200 pg/ml | 72.7 |
| Adolescents (n=373) aged 11-18 yr | ||||
| Mittal | New Delhi | Hospital-based cross-sectional study. | <200 pg/ml | Infants-57.0 |
| Term exclusively breastfed infants (n=100) aged 1-6 months | ||||
| Goyal | Rajasthan | Hospital-based descriptive study. | <100 pg/ml | 37.5 |
| SAM children (n=80) | ||||
| Surana | Gujarat | Hospital-based cross-sectional study. | <160 pg/ml | 49.8 |
| Adolescents (n=211) aged 11-18 yr | ||||
| Gonmei | New Delhi | Community-based cross-sectional study. | <203 pg/ml | 38.0 |
| Women (n=60) aged 60 and above residing in slums | ||||
| Sivaprasad | Telangana | Community-based cross-sectional study. | <203 pg/ml | 35.0 |
| Adults (n=630) aged 21-85 yr | ||||
| Garima | - | Pregnant anaemic women (n=257) | <200 pg/ml | 67.0 |
| Gupta Bansal | New Delhi | Community-based study. | <203 pg/ml | Anaemia-58.7, |
| Adolescents (n=794) aged 11-18 yr | ||||
| Parmar | Gujarat | Hospital-based cross-sectional study. | <200 pg/ml | 44.6 |
| Individuals (n=2660) aged 0-96 yr | ||||
| Kapil | NCT Delhi | Community-based cross-sectional study. | <203 pg/ml | 38.4 |
| Children (n=470) aged 12-59 months | ||||
| Chahal | Himachal Pradesh | Observational study. | <200 pg/ml | 43.6 |
| Adults (n=153) aged 18-62 yr | ||||
| Kapil and Bhadoria 2014 | NCT Delhi | School-based cross-sectional study. | <200 pg/ml | 73.5 |
| Adolescents (n=347) aged 11-18 yr | ||||
| Bhardwaj | Himachal Pradesh | Community-based cross-sectional study. | <200 pg/ml | 100.0 |
| Adolescents (n=885) aged 11-19 yr (n=200 for blood sample) | ||||
| Shobha | Karnataka | Elderly (n=175) aged 60 and above | - | 16.0 |
| Menon | Maharashtra | Community-based cross-sectional study. | <148 pmol/l | 34.0 |
| Tribal and rural women of reproductive age (n=109) |
SAM, severe acute malnutrition; NCT, National Capital Territory
Surveys carried out in India to assess the prevalence of folate deficiency
| Study | Study area | Study design | Cut-off used for serum folic acid | Prevalence (%) |
|---|---|---|---|---|
| Bhide and Kar 2018 | Maharashtra | Hospital-based study. | <3 ng/ml | 24.0 |
| Women (n=584) in early pregnancy | ||||
| Verma 2017 | Maharashtra | School-based cross-sectional study. | <3 ng/ml | 40.2 |
| Adolescents (n=373) aged 11-18 yr | ||||
| Goyal | Rajasthan | Hospital-based descriptive study. | <3 ng/ml | 8.8 |
| SAM children (n=80) | ||||
| Gonmei | New Delhi | Community-based cross-sectional study. | <4 pg/ml | 12.0 |
| Women (n=60) aged 60 and above residing in slums | ||||
| Gupta | Himachal Pradesh | Community-based cross-sectional study. | <4 ng/ml | 1.5 |
| Schoolchildren (n=215) aged 6-18 yr | ||||
| Sivaprasad | Telangana | Community-based cross-sectional study. | <3 ng/ml | 12.0 |
| Adults (n=630) aged 21-85 yr | ||||
| Gupta Bansal | New Delhi | Community-based study. | <4 ng/ml | Anaemia - 58.7 |
| Adolescents (n=794) aged 11-18 yr | ||||
| Kapil | NCT Delhi | Community-based cross-sectional study. | <4 ng/ml | 63.2 |
| Children (n=470) aged 12-59 months | ||||
| Kapil and Bhadoria 2014 | NCT Delhi | School-based cross-sectional study. | <3 ng/ml | 39.8 |
| Adolescents (n=347) aged 11-18 yr | ||||
| Bhardwaj | Himachal Pradesh | Community-based cross-sectional study. | <2.7 ng/ml | 0 |
| Adolescents (n=885) aged 11-19 yr (n=200 for blood sample) | ||||
| Menon | Maharashtra | Community-based cross-sectional study. | <6.8 nmol/l | 2.0 |
| Tribal and rural women (n=109) of reproductive age |
Some surveys carried out to assess the prevalence of ferritin deficiency
| Study | Study area | Study design | Cut-off used for serum ferritin | Prevalence (%) |
|---|---|---|---|---|
| Gupta Bansal | New Delhi | Community-based study. | <15 ng/ml | Anaemia - 58.7 41.1 among anaemic adolescents |
| Adolescents (n=794) aged 11-18 yr | ||||
| Bains | Punjab | Community-based study. | <10 µg/l | 71.8 |
| Children (n=312) aged six months to 5 yr | ||||
| Kapil and Bhadoria 2014 | NCT Delhi | School-based cross-sectional study | <12 ng/ml | 59.7 |
| Adolescents (n=347) aged 11-18 yr | ||||
| Bhardwaj | Himachal Pradesh | Community-based cross-sectional study. | <12 ng/ml | 15.0 |
| Adolescents (n=885) aged 11-19 yr (n=200 for blood sample) |
Some studies carried out in India to assess the prevalence of iodine-deficiency disorders
| Study | Study area | Study design | Total goitre rate (%) | Median urinary iodine concentration (µg/l) | Percentage of iodised salt consumption (≥15 ppm) |
|---|---|---|---|---|---|
| Infants | |||||
| Amrutha | Tamil Nadu | Community-based cross-sectional study (n=2800) | - | Male - 114.7; female - 121.8 (range: 39.9-226.5) | - |
| Schoolchildren | |||||
| Shetty | Karnataka | School-based cross-sectional study (aged 6-12 yr) (n=2703) (Goitre); 270 (UIC); 543 (salt) | 9.3 | 202.12 | 69.8 |
| Bali | Madhya Pradesh | School-based cross-sectional study (aged 6-12 yr) (n=2700) (Goitre); 270 (UIC); 540 (salt) | 2.08 | 175 | 72.4 |
| Sareen | Uttarakhand | Community-based cross-sectional study (n=6143) | Udham Singh Nagar-13.2 | Udham Singh Nagar - 150 | - |
| Nainital-15.9 | Nainital - 125 | ||||
| Pauri Garhwal-16.8 | Pauri Garhwal - 115 | ||||
| Gupta | Jammu | School-based cross-sectional study (aged 6-12 yr) (n=3955) (Goitre); 400 (salt) | Rajouri- 18.87 | - | 100 |
| Poonch-19.70 | |||||
| Manjunath | Karnataka | Community-based cross-sectional study (aged 6-12 yr) (n=832) | 21.9 | 150 | - |
| Ahmed | Karnataka | Community-based cross-sectional study (aged 6-12 yr) (n=10082) | 19.01 | - | 40.1 |
| Kapil | Himachal Pradesh | Community-based cross-sectional study (aged 6-12 yr) (n=5748) | Kangra-15.8 | Kangra - 200 | - |
| Kullu- 23.4 | Kullu - 175 | ||||
| Solan-15.4 | Solan - 62.5 | ||||
| Kapil | Udham Singh Nagar, Uttarakhand | School-based cross-sectional study (aged 6-12 yr) (n=1807) (TGR); 587 (UIC); 660 (salt) | 13.2 | 150 | 46.7 |
| Kapil | Pauri, Uttarakhand | School-based cross-sectional study (aged 6-12 yr) (n=2067) (TGR); 580 (UIC); 562 (salt) | 16.8 | 115 | 40.4 |
| Sridhar and Kamala 2014 | Karnataka | School-based cross-sectional study (aged 6-15 yr) (n=1600) (goitre); 400 (salt) | 0.125 | 179 | 90.7 |
| Biswas | Darjeeling, West Bengal | School-based cross-sectional study (aged 8-10 yr) (n=2400) | 8.67 | 156 | 92.6 |
| Kapil | Kangra, Himachal Pradesh | School-based cross-sectional study (aged 6-12 yr) (n=1864) (TGR); 463 (UIC); 327 (salt) | 15.8 | 200 | 82.3 |
| Kapil | Nainital District, Uttarakhand | School-based cross-sectional study (aged 6-12 yr) (n=2269) (TGR); 611 (UIC); 642 (salt) | 15.9 | 125 | 57.5 |
| Kapil | NCT Delhi | School-based cross-sectional study (aged 6-11 yr) (n=1393) | - | 200 | 87.0 |
| Chaudhary | Haryana | School-based cross-sectional study (aged 6-12 yr) (n=2700) | 12.6 | >100 | 88.0 |
| Zama | Karnataka | School-based cross-sectional study (aged 6 to 12 yr) (n=3757) | 7.74 | - | - |
| Adolescent girls | |||||
| Sareen | Uttarakhand | Community-based cross-sectional study (n=5430) | Udham Singh Nagar - 6.8 | Udham Singh Nagar - 250 | - |
| Nainital - 8.2 | Nainital - 200 | ||||
| Pauri Garhwal - 5.6 | Pauri Garhwal - 183 | ||||
| Pregnant women | |||||
| Kant | Haryana | Community-based cross-sectional study (n=1031) | - | 260 (range: 199-333) | 90.9 |
| Rao | New Delhi | Community-based cross-sectional study | - | 147.5 | 70.6 |
| Sareen | Uttarakhand | Community-based cross-sectional study (n=1727) | Udham Singh Nagar - 16.1 | Udham Singh Nagar - 124 | |
| Nainital - 20.2 | Nainital - 117.5 | ||||
| Pauri Garhwal - 24.9 | Pauri Garhwal - 110 | ||||
| Kapil | Uttarakhand | Community-based cross-sectional study (n=1727) (TGR); 1040 (UIC) and 1494 (Salt) | Pauri-24.9 | Pauri – 110 | Pauri - 57.9 |
| Nainital - 67.0 | |||||
| Nainital-20.2 | Nainital - 117.5 | ||||
| Udham Singh Nagar - 50.3 | |||||
| Udham Singh Nagar-16.1 | Udham Singh Nagar - 124 | ||||
| Kapil | Himachal Pradesh | Community-based cross-sectional study (n=1711) (TGR); 1118 (UIC) and 1283 (Salt) | Kangra-42.2 | Kangra - 200 | Kangra - 68.3 |
| Kullu - 42.0 | Kullu - 149 | ||||
| Kullu - 60.3 | |||||
| Solan - 48.6 | |||||
| Solan-19.9 | Solan - 130 | ||||
| Joshi | Vadodara, Gujarat | Hospital-based cross-sectional study (n=256) (gestational age, 15 wk) | - | 297.14 | - |
TGR, total goitre rate; UIC, urinary iodine concentration