ArticleInternational journal of medicine and public health2016
Association Between Body Mass index and Prevalence of Multimorbidity in Low-and Middle-income Countries: A Cross-Sectional Study.
Article in International journal of medicine and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Multimorbidity of non-communicable diseases in low-income and middle-income countries: a systematic review and meta-analysis.BMJ open · 2022Pooled it
- Multimorbidity in Latin America and the Caribbean: a systematic review and meta-analysis.BMJ open · 2021Pooled it
- Classification and Severity Assessment of Obesity in Clinical Risk Prediction of Multimorbidity Trajectories.Clinical obesity · 2026Article
- Epidemiology Landscape and Impact of Overweight and Obesity in Adults: Multi-country Results from the IMPACT-O Study.Advances in therapy · 2025Article
- Multimorbidity and its correlates in middle-aged and older adults in a city of North India.Journal of family medicine and primary care · 2025Article
- Osteoarthritis burden and inequality from 1990 to 2021: a systematic analysis for the global burden of disease Study 2021.Scientific reports · 2025Article
- Patterns of multimorbidity across obesity severity and fat distribution in Anhui, China: a community-based study.Frontiers in endocrinology · 2025Article
- Exploring multimorbidity profiles in middle-aged inpatients: a network-based comparative study of China and the United Kingdom.BMC medicine · 2023Article
- Quality of life and associated factors among community-dwelling adults with multimorbidity in Shanghai, China: A cross-sectional study.Nursing open · 2023Article
- The Multimorbidity and Lifestyle Correlates in Chinese Population Residing in Macau: Findings from a Community-Based Needs Assessment Study.Healthcare (Basel, Switzerland) · 2023Article
- An analysis of socioeconomic factors on multiple chronic conditions and its economic burden: evidence from the National Health Service Survey in Yunnan Province, China.Frontiers in public health · 2023Article
- Epidemiology of multimorbidity in low-income countries of sub-Saharan Africa: Findings from four population cohorts.PLOS global public health · 2023Article
- Patterns and Determinants of Multimorbidity in Older Adults: Study in Health-Ecological Perspective.International journal of environmental research and public health · 2022Article
- Multiple chronic conditions among older adults in China: differences in socio-demographic characteristics.Heliyon · 2022Article
- Self-rated health and multimorbidity in patients with type 2 diabetes.Journal of health psychology · 2022Article
- Article
- Decomposing urban-rural differences in multimorbidity among older adults in India: a study based on LASI data.BMC public health · 2022Article
- Cardiovascular Statistics - Brazil 2021.Arquivos brasileiros de cardiologia · 2022Article
- One in five South Africans are multimorbid: An analysis of the 2016 demographic and health survey.PloS one · 2022Article
- Bidirectional association between functional disability and multimorbidity among middle-aged and older adults in Thailand.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundChronic diseases are increasingly becoming a health burden in terms of both morbidity and mortality in low and middle-income countries (LMICs). The role of body mass index (BMI) especially overweight and obesity in the prevalence of multimorbidity, the occurrence of two or more chronic conditions, is understudied in LMICs where two thirds of the world's obese individuals reside. We estimated the association between BMI and prevalence of chronic non communicable disease multimorbidity in six LMICs.
methodsCross-sectional data of total of 40,166 participants from China (n=13,970), India (10,915), Mexico (2,4 26), Russia (3,892), South Africa (4,000) and Ghana (4,971), aged 18 years and above included in the WHO Study on Global Ageing and adult health (SAGE), 2007-2010 were analyzed. Multimorbidity was measured as the simultaneous presence of two or more of the nine chronic conditions including angina pectoris, arthritis, asthma, chronic lung disease, diabetes mellitus, hypertension, stroke, depression, and vision impairment. Multivariable logistic regression models were fitted to test for associations between overweight/obesity and prevalence of non communicable multimorbidity after adjusting for age, sex, rural/urban residence, education, marital status, occupation, household wealth, tobacco smoking, alcohol drinking, fruits and vegetable intake and health insurance status. Data were analyzed country wise as well as pooled together to give overall LMIC estimates.
resultsThe mean BMI was 24.4 [±7.3SD] in the pooled countries, being as low as 20.8 [±8.0 SD] in India to 23.4 [±6.3 SD] in Ghana, 23.9 [±4.9 SD] in China, 28.4 [±5.4 SD] in Mexico, 28.6 [±6.3 SD] in Russia, to as high as 30.5 [±12.0 SD] in South Africa. The prevalence of overweight was 13% and obesity was 24% in the pooled sample. The prevalence of non communicable disease multimorbidity was 23% in the pooled sample of six countries-the highest being in Russia (50%), followed by Mexico (27%), India (24%), Ghana (23%), South Africa (32%) and China (22%). The prevalence of multimorbidity was 37% among obese population and 27% among overweight population in the pooled sample-highest prevalence was in Russia (59% among obese; 45% among overweight) and lowest in Ghana (28% among obese; 23% among overweight). Being obese (OR:5.78;95%CI:3.55-9.40;p<0.0001) was associated with significantly higher likelihood of having multimorbidity as compared to normal weight category in the pooled sample. The likelihood of multimorbidity among obese were almost ten times higher in Russia (OR:9.90;95%CI:3.90-25.17;p=<0.0001), seven times higher in China (OR:7.06;95%CI:2.47-20.21;p=0.003), six times higher in Ghana (OR:5.61;95%CI:1.21-26.02;p= 0.007) and five times higher in South Africa (OR:4.66;95%CI:2.16-10.08;p=0.005). Non-significant but positive association were also observed in case of India and Mexico. The likelihood of multimorbidity was more than two times higher among overweight population in India (OR:2.33;95%CI:1.35-4.02;p=0.003) and pooled countries (OR:1.47;95%CI:1.05-2.07;p=0.004) while non-significant but positive association were also observed in case of China, Russia, and Ghana.
conclusionsThe prevalence of non communicable disease multimorbidity in the LMICs is high, one and half times higher in obese than in normal weight individual. Obesity was independently associated with the occurrence of multimorbidity in the six LMICs. These findings may be vital for public health surveillance, prevention and management strategies for non communicable disease multimorbidity in the LMICs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.