ABSTRACT
Rapid demographic ageing substantially affects socioeconomic development1-4 and presents considerable challenges for food security and agricultural sustainability5-8, which have so far not been well understood. Here, by using data from more than 15,000 rural households with crops but no livestock across China, we show that rural population ageing reduced farm size by 4% through transferring cropland ownership and land abandonment (approximately 4 million hectares) in 2019, taking the population age structure in 1990 as a benchmark. These changes led to a reduction of agricultural inputs, including chemical fertilizers, manure and machinery, which decreased agricultural output and labour productivity by 5% and 4%, respectively, further lowering farmers' income by 15%. Meanwhile, fertilizer loss increased by 3%, resulting in higher pollutant emissions to the environment. In new farming models, such as cooperative farming, farms tend to be larger and operated by younger farmers, who have a higher average education level, hence improving agricultural management. By encouraging the transition to new farming models, the negative consequences of ageing can be reversed. Agricultural input, farm size and farmer's income would grow by approximately 14%, 20% and 26%, respectively, and fertilizer loss would reduce by 4% in 2100 compared with that in 2020. This suggests that management of rural ageing will contribute to a comprehensive transformation of smallholder farming to sustainable agriculture in China.
Subject(s)
Age Distribution , Agriculture , Farmers , Farms , Food Security , Rural Population , Sustainable Development , Humans , Agriculture/economics , Agriculture/education , Agriculture/methods , Agriculture/organization & administration , China , Farmers/education , Farmers/statistics & numerical data , Farms/economics , Farms/organization & administration , Farms/statistics & numerical data , Farms/trends , Fertilizers/analysis , Age Factors , Food Security/economics , Food Security/methods , Sustainable Development/economics , Sustainable Development/trends , Rural Population/statistics & numerical data , Rural Population/trends , Efficiency , Environmental PollutantsABSTRACT
BACKGROUND: The prevalence of physical inactivity and sedentary behavior among children and adolescents is a growing public health concern. This study aims to examine the trends in Physical Activity (PA) and Recreational Screen Time (RST) amongst children and adolescents in China, considering variations in genders, school levels, areas (urban versus rural), and regions (north versus south). The findings provide a foundation to guide policy and strategy making for future health promotion and development. METHODS: An annual national cross-sectional survey was conducted in China from 2017 to 2019 cumulatively involving 52,503 (48% female) children and adolescents from grades 4 to 12 (aged 12.72 ± 2.12). Data on PA and RST were collected through self-administered questionnaires. Weighted least squares regression was used to analyze the trends and differences in PA and RST among the participants' profiles. RESULTS: There was an annual decreased in PA compliance rate of approximately 3.43% (95% CI: 0.79-6.08%) for primary school students, primarily among males residing in rural areas, and in northern regions. Middle school students experienced a yearly decrease of about 5.23% (95% CI: 2.55-7.92%) in PA compliance across all genders, regions, and urban areas. Similarly, the RST compliance rates for primary school students declined by approximately 3.18% (95% CI: 1.57-4.78%) annually for all genders and areas, but only in the northern regions. CONCLUSIONS: This research highlights a downward trend in PA and RST compliance amongst Chinese children and adolescents, with variations based on school level, gender, area, and region. Urgent policies and interventions are imperative to promote PA while mitigating excessive RST within these populations.
Subject(s)
Exercise , Screen Time , Humans , Male , Female , China , Adolescent , Child , Cross-Sectional Studies , Sedentary Behavior , Rural Population/statistics & numerical data , Rural Population/trends , Surveys and Questionnaires , Recreation , Urban Population/statistics & numerical data , East Asian PeopleABSTRACT
The Centers for Disease Control and Prevention (CDC) continues to promote the utilization of electronic health records (EHRs) to support population health management and reduce disparities. However, access to EHRs with capabilities to disaggregate data or generate digital dashboards is not always readily available in rural areas. With funding from CDC's DP-18-1815, the Division of Diabetes and Heart Disease Management (Division) at the South Carolina Department of Health and Environmental Control designed a quality improvement initiative to reduce health disparities for people with hypertension and high blood cholesterol in rural areas. With support from a nonprofit partner, the Division used qualitative evaluation methods to evaluate the extent to which practices were able to disaggregate data and report quality measures.
Subject(s)
Electronic Health Records , Meaningful Use , Electronic Health Records/statistics & numerical data , Electronic Health Records/trends , Humans , Meaningful Use/statistics & numerical data , South Carolina , United States , Centers for Disease Control and Prevention, U.S./organization & administration , Rural Health Services/trends , Rural Health Services/statistics & numerical data , Quality Improvement , Rural Population/statistics & numerical data , Rural Population/trendsSubject(s)
Black or African American , Firearms , Gun Violence , Homicide , Mortality , Rural Population , Adolescent , Child , Female , Humans , Male , Black or African American/statistics & numerical data , Firearms/statistics & numerical data , Gun Violence/ethnology , Gun Violence/statistics & numerical data , Gun Violence/trends , Homicide/ethnology , Homicide/statistics & numerical data , Homicide/trends , Mortality/ethnology , Mortality/trends , Rural Population/statistics & numerical data , Rural Population/trends , United States/epidemiology , Urban Population/statistics & numerical data , Urban Population/trends , White/statistics & numerical data , Wounds, Gunshot/epidemiology , Wounds, Gunshot/ethnology , Wounds, Gunshot/mortalityABSTRACT
Background and Purpose: Mechanical thrombectomy helps prevent disability in patients with acute ischemic stroke involving occlusion of a large cerebral vessel. Thrombectomy requires procedural expertise and not all hospitals have the staff to perform this intervention. Few population-wide data exist regarding access to mechanical thrombectomy. Methods: We examined access to thrombectomy for ischemic stroke using discharge data from calendar years 2016 to 2018 from all nonfederal emergency departments and acute care hospitals across 11 US states encompassing 80 million residents. Facilities were classified as hubs if they performed mechanical thrombectomy, gateways if they transferred patients who ultimately underwent mechanical thrombectomy, and gaps otherwise. We used standard descriptive statistics and unadjusted logistic regression models in our primary analyses. Results: Among 205 681 patients with ischemic stroke, 100 139 (48.7% [95% CI, 48.5%48.9%]) initially received care at a thrombectomy hub, 72 534 (35.3% [95% CI, 35.1%35.5%]) at a thrombectomy gateway, and 33 008 (16.0% [95% CI, 15.9%16.2%]) at a thrombectomy gap. Patients who initially received care at thrombectomy gateways were substantially less likely to ultimately undergo thrombectomy than patients who initially received care at thrombectomy hubs (odds ratio, 0.27 [95% CI, 0.250.28]). Rural patients had particularly limited access: 27.7% (95% CI, 26.9%28.6%) of such patients initially received care at hubs versus 69.5% (95% CI, 69.1%69.9%) of urban patients. For 93.8% (95% CI, 93.6%94.0%) of patients with stroke at gateways, their initial facility was capable of delivering intravenous thrombolysis, compared with 76.3% (95% CI, 75.8%76.7%) of patients at gaps. Our findings were unchanged in models adjusted for demographics and comorbidities and persisted across multiple sensitivity analyses, including analyses adjusting for estimated stroke severity. Conclusions: We found that a substantial proportion of patients with ischemic stroke across the United States lacked access to thrombectomy even after accounting for interhospital transfers. US systems of stroke care require further development to optimize thrombectomy access.
Subject(s)
Brain Ischemia/surgery , Health Services Accessibility/trends , Ischemic Stroke/surgery , Rural Population/trends , Thrombectomy/trends , Urban Population/trends , Adult , Aged , Aged, 80 and over , Brain Ischemia/epidemiology , Female , Health Care Costs/statistics & numerical data , Health Care Costs/trends , Health Services Accessibility/statistics & numerical data , Humans , Insurance Claim Review/statistics & numerical data , Insurance Claim Review/trends , Ischemic Stroke/epidemiology , Male , Middle Aged , Patient Discharge/statistics & numerical data , Patient Discharge/trends , Rural Population/statistics & numerical data , Thrombectomy/statistics & numerical data , United States/epidemiology , Urban Population/statistics & numerical dataABSTRACT
BACKGROUND: We examined whether key sociodemographic and clinical risk factors for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and mortality changed over time in a population-based cohort study. METHODS AND FINDINGS: In a cohort of 9,127,673 persons enrolled in the United States Veterans Affairs (VA) healthcare system, we evaluated the independent associations of sociodemographic and clinical characteristics with SARS-CoV-2 infection (n = 216,046), SARS-CoV-2-related mortality (n = 10,230), and case fatality at monthly intervals between February 1, 2020 and March 31, 2021. VA enrollees had a mean age of 61 years (SD 17.7) and were predominantly male (90.9%) and White (64.5%), with 14.6% of Black race and 6.3% of Hispanic ethnicity. Black (versus White) race was strongly associated with SARS-CoV-2 infection (adjusted odds ratio [AOR] 5.10, [95% CI 4.65 to 5.59], p-value <0.001), mortality (AOR 3.85 [95% CI 3.30 to 4.50], p-value < 0.001), and case fatality (AOR 2.56, 95% CI 2.23 to 2.93, p-value < 0.001) in February to March 2020, but these associations were attenuated and not statistically significant by November 2020 for infection (AOR 1.03 [95% CI 1.00 to 1.07] p-value = 0.05) and mortality (AOR 1.08 [95% CI 0.96 to 1.20], p-value = 0.21) and were reversed for case fatality (AOR 0.86, 95% CI 0.78 to 0.95, p-value = 0.005). American Indian/Alaska Native (AI/AN versus White) race was associated with higher risk of SARS-CoV-2 infection in April and May 2020; this association declined over time and reversed by March 2021 (AOR 0.66 [95% CI 0.51 to 0.85] p-value = 0.004). Hispanic (versus non-Hispanic) ethnicity was associated with higher risk of SARS-CoV-2 infection and mortality during almost every time period, with no evidence of attenuation over time. Urban (versus rural) residence was associated with higher risk of infection (AOR 2.02, [95% CI 1.83 to 2.22], p-value < 0.001), mortality (AOR 2.48 [95% CI 2.08 to 2.96], p-value < 0.001), and case fatality (AOR 2.24, 95% CI 1.93 to 2.60, p-value < 0.001) in February to April 2020, but these associations attenuated over time and reversed by September 2020 (AOR 0.85, 95% CI 0.81 to 0.89, p-value < 0.001 for infection, AOR 0.72, 95% CI 0.62 to 0.83, p-value < 0.001 for mortality and AOR 0.81, 95% CI 0.71 to 0.93, p-value = 0.006 for case fatality). Throughout the observation period, high comorbidity burden, younger age, and obesity were consistently associated with infection, while high comorbidity burden, older age, and male sex were consistently associated with mortality. Limitations of the study include that changes over time in the associations of some risk factors may be affected by changes in the likelihood of testing for SARS-CoV-2 according to those risk factors; also, study results apply directly to VA enrollees who are predominantly male and have comprehensive healthcare and need to be confirmed in other populations. CONCLUSIONS: In this study, we found that strongly positive associations of Black and AI/AN (versus White) race and urban (versus rural) residence with SARS-CoV-2 infection, mortality, and case fatality observed early in the pandemic were ameliorated or reversed by March 2021.
Subject(s)
COVID-19/mortality , Population Surveillance , Racial Groups , Rural Population/trends , United States Department of Veterans Affairs/trends , Urban Population/trends , Aged , COVID-19/diagnosis , COVID-19/economics , Cohort Studies , Female , Humans , Male , Middle Aged , Mortality/trends , Population Surveillance/methods , Risk Factors , Socioeconomic Factors , United States/epidemiologyABSTRACT
BACKGROUND: Although the prevalence of bronchial asthma has been increasing worldwide since the 1970's, the prevalence among 5-year-old children was significantly lower in 2016 than in 2001 in rural Bangladesh. We aimed to determine whether the Haemophilus influenzae type b (Hib) combination vaccination (without booster) started in 2009 contributed to this decrease. METHODS: A case-control study was conducted among 1658 randomly selected 5-year-old children from Matlab, Bangladesh. Data on wheezing were collected using the International Study of Asthma and Allergies in Childhood questionnaire. The vaccination data were collected from the records of the Matlab Health and Demographic Surveillance System, while data on pneumonia were obtained from the clinical records of Matlab Hospital. Adjusted odds ratios (aORs) were calculated for the risk for wheezing. The reduction rate was calculated to determine the impact of the vaccination on pneumonia history between the present study and our previous study conducted in 2001 by using the following formula: (percentage of pneumonia cases in 2001 - percentage of pneumonia cases in 2016)/(percentage of pneumonia cases in 2001) times 100 (%). RESULTS: Hib combination vaccination was a protecting factor against wheezing (aOR: 0.50; p = 0.010), while pneumonia at 1, 2, 3-4 years of age were risk factors for wheezing (aOR: 2.86, 3.19, 2.86; p = 0.046, 0.030, 0.030, respectively). The history of pneumonia was significantly lower in the 2016 study participants than those in 2001 both in the overall cohort and the wheezing group (paired t-test: p = 0.012, p < 0.001, respectively). Whereas the history of pneumonia decreased when the children grew older in the 2001 overall cohort, it peaked at the age of 2 years in 2016 wheezing group. The reduction rate decreased when children grew older in both the overall cohort and the wheezing group, however, it decreased faster in the wheezing group. CONCLUSIONS: Hib combination vaccination was a protective factor against wheezing in 0-year-old children. However, the effects of vaccination might have attenuated at the ages of 1-4 years, because no booster dose was administered. The addition of a booster dose might further decrease the prevalence of asthma and wheezing.
Subject(s)
Asthma/epidemiology , Haemophilus Vaccines/administration & dosage , Haemophilus influenzae type b/drug effects , Pneumonia/epidemiology , Rural Population/trends , Vaccination/trends , Asthma/diagnosis , Asthma/prevention & control , Bangladesh/epidemiology , Case-Control Studies , Child, Preschool , Cross-Sectional Studies , Female , Haemophilus Infections/epidemiology , Haemophilus Infections/prevention & control , Haemophilus influenzae type b/physiology , Humans , Longitudinal Studies , Male , Pneumonia/diagnosis , Pneumonia/prevention & control , Respiratory Sounds/physiopathologyABSTRACT
OBJECTIVE: Compare the urban-rural disparity in cancer mortality and changing trend during the past 18 years in Tianjin, China. METHODS: Cancer death data were obtained from Tianjin All Cause of Death Registration System (CDRS), which covers the whole population of Tianjin. We calculated and compared the constituent ratio of cancer deaths, age-standardized mortality rate(ASR)and changing trends between urban and rural areas. RESULTS: From 1999 to 2016, a total of 245,744 cancer deaths were reported, accounting 21.7% of all deaths in Tianjin. The ASR of total cancer mortality was higher in urban areas than in rural areas. A total of 33,739 persons were avoided dying of cancers in rural area compared to the urban death level from 1999 to 2016, which was 40.1% compare to the current level of rural areas. But the gap between urban and rural areas became narrowed gradually. The urban-rural ratios (urban/rural) of total cancer mortality changed from 1.76 (125.7/71.5)[95%CI,1.67,1.84] in 1999 to 1.11 (99.6/90.0)[95%CI,1.06,1.15] in 2016. The ASR of lung, liver and esophagus cancer became higher in rural areas than in urban areas in 2016. CONCLUSION: Cancer transition was obviously occurred in Tianjin and showed different speeds and big gap between urban and rural areas. Much more attention was needed to pay in rural areas which still have increasing trends in most cancers mortality recently.
Subject(s)
Neoplasms/mortality , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , China/epidemiology , Female , Humans , Male , Mortality/trends , Rural Population/trends , Sex Distribution , Urban Population/trendsABSTRACT
OBJECTIVE: We aimed to estimate the status of risk factor control after ischemic stroke or transient ischemic attack (IS/TIA), and the influence on recurrent stroke in rural communities of northeastern China. METHODS: This population-based, prospective cohort study enrolled adults aged ≥35 years residing in rural northeastern China. We conducted cardiovascular health examinations in 2012-2015 and followed up in 2018 to record any cardiovascular event. Control of risk factors after IS/TIA was determined through a baseline survey. The Cox proportional hazard model was used to evaluate the relationship between uncontrolled risk factors and stroke recurrence. RESULTS: Of the 10,700 participants, 575 were diagnosed with IS/TIA and were included in the analysis. At baseline, the rates of control of risk factors were as follows: fasting plasma glucose (FPG), 81.6%; not currently smoking, 65.7%; and achieving physical activity targets, 61%. Blood pressure (BP), low-density lipoprotein cholesterol (LDL-C), and body mass index (BMI) were poorly controlled (28.3%, 26.3%, and 37.4%, respectively). The rate of stroke recurrence was 12% during a median follow-up of 4.43 years. After adjusting for age, sex, ethnicity, family history of stroke, and current drinking, uncontrolled BP and not achieving physical exercise targets were associated with an increased risk of recurrence (hazard ratios: 2.081, 1.685, respectively; p < .05). Uncontrolled FPG, BMI, or LDL-C and current smoking did not significantly influence recurrent risk (p > .05). CONCLUSIONS: Control of risk factors after IS/TIA needs to be improved in rural communities of northeastern China to prevent recurrence and thus alleviate the public health and economic burden of stroke.
Subject(s)
Brain Ischemia/blood , Brain Ischemia/epidemiology , Ischemic Attack, Transient/blood , Ischemic Attack, Transient/epidemiology , Ischemic Stroke/blood , Ischemic Stroke/epidemiology , Adult , Aged , Aged, 80 and over , Blood Pressure/physiology , Brain Ischemia/diagnosis , China/epidemiology , Cholesterol, LDL/blood , Cohort Studies , Cross-Sectional Studies , Female , Follow-Up Studies , Humans , Ischemic Attack, Transient/diagnosis , Ischemic Stroke/diagnosis , Male , Middle Aged , Prospective Studies , Risk Factors , Rural Population/trends , Smoking/adverse effects , Smoking/blood , Smoking/epidemiologyABSTRACT
OBJECTIVE: To evaluate secular changes in the heights and weights of rural school youth in west-central Poland across decennial surveys of the same communities spanning 1986 and 2016. METHODS: Heights and weights of school youth 7 to 15 years in 10 rural communities in the vicinity of the city of Poznan were measured in 1986 (1417 boys, 1326 girls), 1996 (979 boys, 947 girls), 2006 (871 boys, 843 girls), and 2016 (1189 boys, 1105 girls). Descriptive statistics for sex-specific single year chronological age groups were calculated by survey, while the sample was partitioned into three age groups (7-9, 10-12, 13-15 years) for detailed analysis of changes across surveys using sex-specific ANCOVA with age and age2 as covariates. Pairwise post hoc comparisons between specific surveys, adjusted for multiple comparisons (Bonferroni), were evaluated. RESULTS: Heights and weights of rural school youth increased significantly between 1986 and 2016, but estimated secular gains between adjacent surveys were variable and not linear over time. CONCLUSION: Significant secular changes occurred in the heights and weights of rural school children in the 10 rural communities between 1986 and 2016, but estimated rates of change across sequential decennial surveys were variable. The results were generally consistent with corresponding studies of Polish youth.
Subject(s)
Body Height , Body Weight , Rural Population/trends , Adolescent , Child , Female , Humans , Male , PolandABSTRACT
The COVID-19 pandemic has had devastating effects on Black and rural populations with a mortality rate among Blacks three times that of Whites and both rural and Black populations experiencing limited access to COVID-19 resources. The primary purpose of this study was to explore the health, financial, and psychological impact of COVID-19 among rural White Appalachian and Black nonrural central Kentucky church congregants. Secondarily we sought to examine the association between sociodemographics and behaviors, attitudes, and beliefs regarding COVID-19 and intent to vaccinate. We used a cross sectional survey design developed with the constructs of the Health Belief and Theory of Planned Behavior models. The majority of the 942 respondents were ≥36 years. A total of 54% were from central Kentucky, while 47.5% were from Appalachia. Among all participants, the pandemic worsened anxiety and depression and delayed access to medical care. There were no associations between sociodemographics and practicing COVID-19 prevention behaviors. Appalachian region was associated with financial burden and delay in medical care (p = 0.03). Appalachian respondents had lower perceived benefit and attitude for COVID-19 prevention behaviors (p = 0.004 and <0.001, respectively). Among all respondents, the perceived risk of contracting COVID was high (54%), yet 33.2% indicated unlikeliness to receive the COVID-19 vaccine if offered. The COVID-19 pandemic had a differential impact on White rural and Black nonrural populations. Nurses and public health officials should assess knowledge and explore patient's attitudes regarding COVID-19 prevention behaviors, as well as advocate for public health resources to reduce the differential impact of COVID-19 on these at-risk populations.
Subject(s)
COVID-19/prevention & control , Protestantism/psychology , Rural Population/statistics & numerical data , Adult , Aged , Black People/ethnology , Black People/psychology , Black People/statistics & numerical data , COVID-19/ethnology , COVID-19/psychology , Cross-Sectional Studies , Female , Humans , Kentucky , Male , Middle Aged , Rural Population/trends , Surveys and QuestionnairesABSTRACT
INTRODUCTION: Face masks are widely recommended as a COVID-19 prevention strategy. State mask mandates have generally reduced the spread of the disease, but decisions to wear a mask depend on many factors. Recent increases in case rates in rural areas following initial outbreaks in more densely populated areas highlight the need to focus on prevention and education. Messaging about disease risk has faced challenges in rural areas in the past. While surges in cases within some communities are likely an impetus for behavior change, rising case rates likely explain only part of mask-wearing decisions. The current study examined the relationship between county-level indicators of rurality and mask wearing in the USA. METHODS: National data from the New York Times' COVID-19 cross-sectional mask survey was used to identify the percentage of a county's residents who reported always/frequently wearing a mask (2-14 July 2020). The New York Times' COVID-19 data repository was used to calculate county-level daily case rates for the 2 weeks preceding the mask survey (15 June - 1 July 2020), and defined county rurality using the Index of Relative Rurality (n=3103 counties). Multivariate linear regression was used to predict mask wearing across levels of rurality. The model was adjusted for daily case rates and other relevant county-level confounders, including county-level indicators of age, race/ethnicity, gender, political partisanship, income inequality, and whether each county was subject to a statewide mask mandate. RESULTS: Large clusters of counties with high rurality and low mask wearing were observed in the Midwest, upper Midwest, and mountainous West. Holding daily case rates and other county characteristics constant, the predicted probability of wearing a mask decreased significantly as counties became more rural (β=-0.560; p<0.0001). CONCLUSION: Upticks in COVID-19 cases and deaths in rural areas are expected to continue, and localized outbreaks will likely occur indefinitely. The present findings highlight the need to better understand the mechanisms underlying perceptions of COVID-19 risk in rural areas. Dissemination of scientifically correct and consistent information is critical during national emergencies.
Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Health Status Disparities , Masks/trends , Rural Population/trends , Cross-Sectional Studies , Female , Humans , Linear Models , Male , Severity of Illness Index , Socioeconomic FactorsABSTRACT
BACKGROUND: In common with many other low- and middle-income countries (LMICs), rural to urban migrants in India are at increased risk of obesity, but it is unclear whether this is due to increased energy intake, reduced energy expenditure, or both. Knowing this and the relative contribution of specific dietary and physical activity behaviours to greater adiposity among urban migrants could inform policies for control of the obesity epidemic in India and other urbanising LMICs. In the Indian Migration Study, we previously found that urban migrants had greater prevalence of obesity and diabetes compared with their nonmigrant rural-dwelling siblings. In this study, we investigated the relative contribution of energy intake and expenditure and specific diet and activity behaviours to greater adiposity among urban migrants in India. METHODS AND FINDINGS: The Indian Migration Study was conducted between 2005 and 2007. Factory workers and their spouses from four cities in north, central, and south of India, together with their rural-dwelling siblings, were surveyed. Self-reported data on diet and physical activity was collected using validated questionnaires, and adiposity was estimated from thickness of skinfolds. The association of differences in dietary intake, physical activity, and adiposity between siblings was examined using multivariable linear regression. Data on 2,464 participants (median age 43 years) comprised of 1,232 sibling pairs (urban migrant and their rural-dwelling sibling) of the same sex (31% female) were analysed. Compared with the rural siblings, urban migrants had 18% greater adiposity, 12% (360 calories/day) more energy intake, and 18% (11 kilojoules/kg/day) less energy expenditure (P < 0.001 for all). Energy intake and expenditure were independently associated with increased adiposity of urban siblings, accounting for 4% and 6.5% of adiposity difference between siblings, respectively. Difference in dietary fat/oil (10 g/day), time spent engaged in moderate or vigorous activity (69 minutes/day), and watching television (30 minutes/day) were associated with difference in adiposity between siblings, but no clear association was observed for intake of fruits and vegetables, sugary foods and sweets, cereals, animal and dairy products, and sedentary time. The limitations of this study include a cross-sectional design, systematic differences in premigration characteristics of migrants and nonmigrants, low response rate, and measurement error in estimating diet and activity from questionnaires. CONCLUSIONS: We found that increased energy intake and reduced energy expenditure contributed equally to greater adiposity among urban migrants in India. Policies aimed at controlling the rising prevalence of obesity in India and potentially other urbanising LMICs need to be multicomponent, target both energy intake and expenditure, and focus particularly on behaviours such as dietary fat/oil intake, time spent on watching television, and time spent engaged in moderate or vigorous intensity physical activity.
Subject(s)
Adiposity/physiology , Diet/trends , Energy Intake/physiology , Exercise/physiology , Rural Population/trends , Transients and Migrants , Urban Population/trends , Adult , Body Mass Index , Cross-Sectional Studies , Diet/adverse effects , Dietary Fats/adverse effects , Energy Metabolism/physiology , Female , Humans , India/epidemiology , Male , Middle Aged , Risk Factors , Self ReportABSTRACT
BACKGROUND: Exposure to green space has beneficial effects on several cognitive and behavioral aspects. However, to our knowledge, no study addressed intelligence as outcome. We investigated whether the level of urbanicity can modify the association of residential green space with intelligence and behavior in children. METHODS AND FINDINGS: This study includes 620 children and is part of the East Flanders Prospective Twin Survey (EFPTS), a registry of multiple births in the province of East Flanders, Belgium. Intelligence was assessed with the Wechsler Intelligence Scale for Children-Revised (WISC-R) in 620 children (310 twin pairs) between 7 and 15 years old. From a subset of 442 children, behavior was determined based on the Achenbach Child Behavior Checklist (CBCL). Prenatal and childhood residential addresses were geocoded and used to assign green space indicators. Mixed modeling was performed to investigate green space in association with intelligence and behavior while adjusting for potential confounding factors including sex, age, parental education, neighborhood household income, year of assessment, and zygosity and chorionicity. We found that residential green space in association with both intelligence and behavior in children was modified by the degree of urbanicity (p < 0.001). In children living in an urban environment, multivariable adjusted mixed modeling analysis revealed that an IQR increment of residential green space (3,000-m radius) was associated with a 2.6 points (95% CI 1.4-3.9; p < 0.001) higher total intelligence quotient (IQ) and 2.0 points (95% CI -3.5 to -0.4; p = 0.017) lower externalizing behavioral score. In children residing in a rural or suburban environment, no association was found. A limitation of this study is that no information was available on school location and the potential for unmeasured confounding (e.g., time spend outdoors). CONCLUSIONS: Our results indicate that residential green space may be beneficial for the intellectual and the behavioral development of children living in urban areas. These findings are relevant for policy makers and urban planners to create an optimal environment for children to develop their full potential.
Subject(s)
Child Behavior/psychology , Environment Design/trends , Intelligence , Residence Characteristics , Rural Population/trends , Suburban Population/trends , Urban Population/trends , Adolescent , Belgium/epidemiology , Child , Child Behavior/physiology , Cohort Studies , Female , Humans , Intelligence/physiology , Longitudinal Studies , Male , Prospective Studies , Twins/psychologyABSTRACT
PURPOSE: To evaluate differential mortality outcomes in rural Alabama counties with or without access to a local labor and delivery (L&D) unit. METHODS: This retrospective cohort study used county-level data from the Alabama Department of Public Health. Rural counties in Alabama were categorized into those with an L&D unit and those without. The 2 groups were compared based on infant mortality rate, perinatal mortality rate, neonatal mortality rate, and low birth weight. RESULTS: The infant mortality rate from 2003-2017 in the rural counties in Alabama with no local obstetrical care was 9.23 per 1,000 live births, whereas the infant mortality rate during the same period in the rural counties with continuous access to local obstetrical units was 7.89 (relative risk [RR] = 1.1679; 95% CI, 1.0643-1.2817, P = 0.0011). The percentage of low birth weight babies from the time period 2003-2014 in the rural counties in Alabama with no local obstetrical care was 10.61%, compared with 9.86% in the rural counties with continuous access to local L&D services (RR = 1.0756; 95% CI, 1.0424-1.1098, P <.0001). The perinatal mortality rate in counties with no active L&D was 10.82 per 1,000 still + live births compared with 8.89 in counties with an active L&D (RR = 1.2149; 95% CI, 1.1147-1.3242; P <.0001). The neonatal mortality rate during this period was 5.67 per 1,000 live births in counties with no active L&D, vs 4.74 in those counties with L&D services (RR = 1.1953; 95% CI, 1.0609-1.3466; P = 0.0034). CONCLUSION: Access to local obstetrical care in a rural area is associated with better infant outcomes.
Subject(s)
Delivery, Obstetric/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Infant Mortality/trends , Maternal Health Services/statistics & numerical data , Rural Population/trends , Alabama , Female , Humans , Infant , Infant, Low Birth Weight , Infant, Newborn , Male , Pregnancy , Retrospective StudiesABSTRACT
The adolescent birth rate (ABR) is an important indicator of maternal health, adolescent sexual health, and gender equity; it remains high in sub-Saharan Africa. While Demographic and Health Surveys (DHS) are the main source of ABR estimates, Health and Demographic Surveillance Systems (HDSS) also produce ABRs. Studies are lacking, however, to assess the ease of access and accuracy of HDSS ABR measures. In this paper, we use birth and exposure data from 10 HDSS in six African countries to compute local ABRs and compare these rates to DHS regional rates where the HDSS sites are located, standardizing by education and place of residence. In rural HDSS sites, the ABR measure is on average 44 percent lower than the DHS measure, after controlling for education and place of residence. Strong temporary migration of childless young women out of rural areas and different capacities in capturing temporarily absent women in the DHS and HDSS could explain this discrepancy. Further comparisons based on more strictly similar populations and measures seem warranted.
Subject(s)
Birth Rate/trends , Pregnancy in Adolescence/statistics & numerical data , Rural Population/trends , Adolescent , Adult , Africa South of the Sahara/epidemiology , Female , Humans , Longitudinal Studies , Middle Aged , Pregnancy , Socioeconomic Factors , Young AdultABSTRACT
BACKGROUND: Diagnostic delay in amyotrophic lateral sclerosis (ALS) is common. In a recent Canadian study evaluating provincial differences in care, Saskatchewan had the longest delay at 27 months. Since Saskatchewan has a large rural population, this study sought to determine whether geographically determined access to a neurologist at tertiary centers could be contributing to this lengthy delay. METHODS: A retrospective chart review of 171 patients seen in the ALS clinic in Saskatoon, Saskatchewan was performed. Urban or rural location, distance from nearest tertiary center, and clinically relevant data were collected. RESULTS: There was no difference between urban and rural populations for delay in symptom onset to diagnosis. For rural patients, linear regression modeling did not uncover a significant relationship between distance from tertiary center and time to diagnosis. Additionally, there were no differences between urban and rural dwellers either for referral or utilization of feeding tube, noninvasive ventilation, riluzole, or communication devices. Contrary to the previous data showing a 27-month diagnostic delay in Saskatchewan, our study which included a larger provincial population found the mean diagnostic delay was 16.6 months. CONCLUSIONS: This study did not uncover differences in diagnostic delay or ALS care between urban and rural dwellers. Further study is required to determine reproducibility of results.
Subject(s)
Amyotrophic Lateral Sclerosis/diagnosis , Amyotrophic Lateral Sclerosis/epidemiology , Delayed Diagnosis , Rural Population , Aged , Amyotrophic Lateral Sclerosis/therapy , Delayed Diagnosis/trends , Female , Humans , Male , Middle Aged , Retrospective Studies , Rural Population/trends , Saskatchewan/epidemiology , Survival Rate/trendsABSTRACT
We highlight the paradoxical implications of decadal reclassification of U.S. counties (and America's population) from nonmetropolitan to metropolitan status between 1960 and 2017. Using data from the U.S. Census Bureau, we show that the reclassification of U.S. counties has been a significant engine of metropolitan growth and nonmetropolitan decline. Over the study period, 753-or nearly 25% of all nonmetropolitan counties-were redefined by the Office of Management and Budget (OMB) as metropolitan, shifting nearly 70 million residents from nonmetropolitan to metropolitan America by 2017. All the growth since 1970 in the metropolitan share of the U.S. population came from reclassification rather than endogenous growth in existing metropolitan areas. Reclassification of nonmetropolitan counties also had implications for drawing appropriate inferences about rural poverty, population aging, education, and economic growth. The paradox is that these many nonmetropolitan "winners"-those experiencing population and economic growth-have, over successive decades, left behind many nonmetropolitan counties with limited prospects for growth. Our study provides cautionary lessons regarding the commonplace narrative of widespread rural decline and economic malaise but also highlights the interdependent demographic fates of metropolitan and nonmetropolitan counties.
Subject(s)
Rural Population/classification , Rural Population/trends , Urbanization/trends , Economic Development/trends , Humans , Poverty/trends , Socioeconomic Factors , United StatesABSTRACT
BACKGROUND: Great growth inequalities between urban and rural areas have been reported in China over the past years. By examining urban/rural inequalities in physical growth among children < 7 years old over the past three decades from 1985 to 2015 in Guangzhou, we analyzed altering trends of anthropometric data in children and their association with economic development during the period of rapid urbanization in Guangzhou. METHODS: The height, body weight and nutrition status of children under 7 years old were obtained from two successive cross-sectional surveys and one health surveillance system. Student's t-test, Spearman's rank-order correlation and polynomial regression were used to assess the difference in physical growth between children in urban and rural areas and the association between socioeconomic index and secular growth changes. RESULTS: A height and weight difference was found between urban and rural children aged 0-6 years during the first two decades of our research (1985-2005), which gradually narrowed in both sex groups over time. By the end of 2015, elder boys (age group ≥5 year) and girls (age group ≥4 year) in rural areas were taller than their counterparts in urban areas (p < 0.05).The same trend could be witnessed in the weight of children aged 6 years, with a - 1.30 kg difference (P = 0.03) for boys, and a - 0.05 difference (P = 0.82) for girls. When GDP increased, the gap in boys' weight-for-age z-score (WAZ from 0.25 to 0.01) and height-for-age z-score (HAZ from 0.55 to 0.03) between urban and rural areas diminished, and disappeared when the GDP per capita (USD) approached 25,000. In either urban or rural areas, the urbanization rate and GDP were positively associated with the prevalence of obesity (all R > 0.90 with P < 0.05) and negatively correlated with the prevalence of stunted growth (all R < -0.87 with P < 0.05). CONCLUSION: Growth inequalities gradually decreased with economic development and urbanization, while new challenges such as obesity emerged. To eliminate health problems due to catch-up growth among rural children, comprehensive intervention programs for early child growth should be promoted in rural areas.
Subject(s)
Growth Disorders , Nutritional Status , Pediatric Obesity , Urbanization , Anthropometry , Asian People , Body Weight , Child , Child, Preschool , China/epidemiology , Cross-Sectional Studies , Economic Development , Female , Humans , Infant , Infant, Newborn , Male , Prevalence , Rural Population/trends , Urban PopulationABSTRACT
BACKGROUND: More attention should be paid to communicable disease-specific infant mortality rate (CD-IMR) in rural China. However, few studies have examined specific geographic patterns and trends in CD-IMR in these areas. Our aims were to assess the epidemiological distribution and trends in CD-IMR in rural China for the period 1996-2015. METHODS: We used data from China's Under-5 Child Mortality Surveillance System (U5CMSS). The time trends in communicable disease-specific IMR (CD-IMR) were assessed by Poisson regression model, and the proportion of total infant deaths due to communicable disease was assessed by the Cochran Armitage trend test. Differences in CD-IMR among and within geographic regions were assessed for significance using the Cochran-Mantel-Haenszel test. RESULTS: The overall CD-IMR fell by 86.0% from 1444.3 to 201.5 per 100,000 live births in rural mainland China from 1996 to 2015. The proportion of total infant deaths related to communicable disease fell from 33.4 to 19.7%. Using eastern rural areas as the reference, rate ratios (RRs) of IMR due to all communicable diseases ranged between 1.7 and 3.1 in central rural areas and between 4.4 and 9.8 in western areas during the four study intervals. Acute respiratory infection (ARI) accounted for 71% of deaths, followed by diarrhea and septicemia. CONCLUSIONS: IMR due to communicable disease remains a major public health issue. ARI is the leading cause of mortality, followed by diarrhea. A regional gap remains in the risk of infant exposure to communicable disease in rural China. More attention should be paid to western rural areas.