Search results for "Middle-income countries"
showing 10 items of 51 documents
Physical injury and depression in six low- and middle-income countries: A nationally representative study.
2019
BACKGROUND: Studies on the association between physical injury and depression in low- and middle-income countries (LMICs) are scarce. Therefore, our goal was to analyze the association between physical injury and depression using nationally representative data from six LMICs. METHODS: Cross-sectional data from the Study on Global Ageing and Adult Health (SAGE) survey (2007-2010) were analyzed (N?=?42,489). Questions based on the World Mental Health Survey version of the Composite International Diagnostic Interview were used for the endorsement of past 12-month DSM-IV depression. Any injury in our analysis referred to having experienced traffic injury or other injury in the past 12 months. M…
Association between depression and subjective cognitive complaints in 47 low- and middle-income countries
2022
People with depression and subjective cognitive complaints (SCC) may be at particularly high risk for developing dementia. However, to date, studies on depression and SCC are limited mainly to single high-income countries. Thus, the aim of the present study was to investigate the association between depression and SCC in adults from low- and middle-income countries (LMICs). Cross-sectional, community-based data were analyzed from the World Health Survey. Two questions on subjective memory and learning complaints in the past 30 days were used to create a SCC scale ranging from 0 (No SCC) to 100 (worse SCC). ICD-10 Diagnostic Criteria for Research was used for the diagnosis of subsyndromal de…
Relationship between sedentary behavior and depression: a mediation analysis of influential factors across the lifespan among 42,469 people in low- a…
2018
Abstract Background Sedentary behavior (SB) is associated with diabetes, cardiovascular disease and low mood. There is a paucity of multi-national research investigating SB and depression, particularly among low- and middle-income countries. This study investigated the association between SB and depression, and factors which influence this. Methods Cross-sectional data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health. Depression was based on the Composite International Diagnostic Interview. The association between depression and SB (self-report) was estimated by multivariable linear and logistic regression analyses. Mediation analysis was used to id…
Anxiety symptoms among informal caregivers in 47 low- and middle-income countries: A cross-sectional analysis of community-based surveys.
2022
Background-\ud \ud There are no multi-country studies on the association between informal caregiving and anxiety from low- and middle-income countries (LMICs). Therefore, we investigated this relationship in a large predominantly nationally representative sample from 47 LMICs.\ud \ud Methods-\ud \ud Cross sectional data from the World Health Survey were analyzed. Anxiety symptoms referred to severe or extreme problems with worries or anxiety in the past 30 days.\ud \ud Information on caregiving in the past 12 months was obtained. Multivariable logistic regression analysis adjusting for age, sex, marital status, education, household size, employment, disability, and country was conducted. Da…
Frequency and correlates of anxiety symptoms during the COVID-19 pandemic in low- and middle-income countries: A multinational study
2021
Objective Studies have documented the significant direct and indirect psychological, social, and economic consequences of the Coronavirus disease 2019 (COVID-19) in many countries but little is known on its impact in low- and middle-income countries (LMICs) already facing difficult living conditions and having vulnerable health systems that create anxiety in individuals for themselves and their loved ones. Using a multinational convenience sample from four LMICs (DR Congo, Haiti, Rwanda, and Togo), this study aims to explore the prevalence of anxiety symptoms and associated risk and protective factors during the COVID-19 pandemic. Methods A total of 1222 individuals (40.9% of women) complet…
The association between diabetes and cataract among 42,469 community-dwelling adults in six low- and middle-income countries
2018
Background: Cataract is a major cause of visual impairment in people with diabetes, yet a paucity of data is available in low- and middle-income countries (LMICs) on this comorbidity. Thus we assessed the association between diabetes and cataract in 6 LMICs. Methods: Cross-sectional, community-based data from the Study on Global Ageing and Adult Health (SAGE) was analyzed (n = 42,469 aged ≥18 years). Five years information on self-reported diagnosis of cataract was collected. Three definitions for cataract were used: (a) Self-reported diagnosis and/or past 12-month symptoms; (b) Solely self-reported diagnosis; and (c) Surgical treatment for cataract in the past five years. Diabetes was base…
Association between physical multimorbidity and sleep problems in 46 low- and middle-income countries
2022
BACKGROUND: Little is known about the association between multimorbidity (i.e., two or more chronic conditions) and sleep problems in the general adult populations of low- and middle-income countries (LMICs). Thus, we aimed to assess this association among adults from 46 LMICs, and to quantify the extent to which anxiety, depression, stress, and pain explain this association. METHODS: Cross-sectional, predominantly nationally representative, community-based data from the World Health Survey were analyzed. Nine chronic physical conditions (angina, arthritis, asthma, chronic back pain, diabetes, edentulism, hearing problems, tuberculosis, visual impairment) were assessed. To be included in th…
Pain and severe sleep disturbance in the general population: Primary data and meta-analysis from 240,820 people across 45 low- and middle-income coun…
2018
Objective:\ud Pain and sleep disturbances are widespread, and are an important cause of a reduced quality of life. Despite this, there is a paucity of multinational population data assessing the association between pain and sleep problems, particularly among low- and middle-income countries (LMICs). Therefore, we investigated the relationship between pain and severe sleep disturbance across 45 LMICs.\ud \ud Method: \ud Community-based data on 240,820 people recruited via the World Health Survey were analyzed. Multivariable logistic regression analyses adjusted for multiple confounders were performed to quantify the association between pain and severe sleep problems in the last 30 days. A me…
Sedentary behaviour and sleep problems among 42,489 community-dwelling adults in six low- and middle-income countries
2018
There is a lack of multinational research investigating the association between sleep problems and sedentary behaviour. In this study, we investigated the relationship between the time spent sedentary during waking hours and sleep problems in six low- and middle-income countries. Cross-sectional, community-based data from the Study on Global Ageing and Adult Health survey were analysed. Adjusted logistic regression analyses were undertaken to explore the relationship between self-reported sleep problems (such as difficulties falling asleep, waking up frequently during the night or waking up too early in the morning) in the last 30 days and self-reported sedentary time (categorized as <4,…
Depression and physical health multimorbidity: primary data and country-wide meta-analysis of population data from 190 593 people across 43 low- and …
2017
BackgroundDespite the known heightened risk and burden of various somatic diseases in people with depression, very little is known about physical health multimorbidity (i.e. two or more physical health co-morbidities) in individuals with depression. This study explored physical health multimorbidity in people with clinical depression, subsyndromal depression and brief depressive episode across 43 low- and middle-income countries (LMICs).MethodCross-sectional, community-based data on 190 593 individuals from 43 LMICs recruited via the World Health Survey were analysed. Multivariable logistic regression analysis was done to assess the association between depression and physical multimorbidity…