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Biomedical subjects

M Joffe

Publications and source records attributed to M Joffe.

At least 19 recordsLinked to original sources

Early exposure to smoking and future fecundity among Danish twins.

Several studies have examined the effect of in utero exposure to smoking and fecundity among the offspring but the findings are contradictory. We therefore studied the waiting time to first pregnancy (TTP) and exposure to smoking in utero and childhood among Danish twins born between 1931 and 1952. Information about TTP, exposure to mothers smoking in pregnancy, exposure to smoking in childhood and current smoking among the male twins and smoking in their own pregnancy among female twins was collected by interview. Fecundability odds ratio (FOR) estimating the odds of conception in a cycle among exposed compared to the unexposed were calculated separately for female and male twins. A total of 1653 female and 1598 male twins reported a TTP. Female twins, exposed in utero, had reduced fecundability after control for confounders (FOR = 0.81; 95% CI 0.67-0.99). A nonsignificant increase in fecundity among male twins exposed to smoking in utero was found (FOR = 1.12; 95% CI 0.89-1.40). Among dizygotic twins of opposite sex sharing the same in utero exposures, the future fecundity of the male twin was unaffected by in utero exposure (FOR = 0.97; 95% CI 0.60-1.55) whereas the female twin had reduced fecundity (FOR = 0.65; 95% CI 0.47-0.91). This study supports that smoking is hazardous to the female fetus not only in the short term but also affects her future ability to conceive and makes it even more important to advise pregnant women to stop smoking.

Adult↗

Health impact assessment as an agent of policy change: improving the health impacts of the mayor of London's draft transport strategy.

OBJECTIVE: To increase the positive and mitigate the negative health impacts of the mayor's draft transport strategy for London. DESIGN: A rapid prospective health impact assessment (HIA) of the penultimate draft of the strategy, using a review commissioned by the regional director of public health; an appraisal of congestion charging; and a participatory workshop. Two audits of changes were performed to assess the impact on policy of the HIA process. SETTING: Regional government policy development. INTERVENTION: Recommendations from the rapid HIA were fed back into the drafting process. MAIN OUTCOME MEASURE: Changes (a) between the penultimate draft and the draft for public consultation and (b) between that and the final mayoral strategy. RESULTS: The draft transport strategy published for consultation differed in a number of respects from the previous version. Almost all the recommendations from the HIA were incorporated into the final strategy. Significant changes included promoting sustainable travel plans for workplaces and schools; giving priority to infrastructure and services that benefit London's deprived communities; increased emphasis on promoting walking and cycling and reducing reliance on private cars; and a commitment to track the health impacts of the final strategy and its implementation. Specific additions included re-allocating road space. CONCLUSION: HIA was successful in influencing the transport strategy for London, resulting in several improvements from a health viewpoint. HIA is an effective method both for bringing about significant change in policy proposals and in increasing policy makers' understanding of determinants of health and hence in changing attitudes of policy makers.

Environmental Health↗

Enhancing the evidence base for health impact assessment.

Health impact assessment differs from other purposes for which evidence is collated in a number of ways, including:the focus on complex interventions or policy and their diverse effects on determinants of health;the need for evidence on the reversibility of adverse factors damaging to health;the diversity of the evidence in terms of relevant disciplines, study designs, quality criteria and sources of information;the broad range of stakeholders involved;the short timescale and limited resources generally available;the pragmatic need to inform decision makers regardless of the quality of the evidence. These have implications for commissioning and conducting reviews. Methods must be developed to: facilitate comprehensive searching across a broad range of disciplines and information sources; collate appropriate quality criteria to assess a range of study designs; synthesise different kinds of evidence; and facilitate timely stakeholder involvement. Good practice standards for reviews are needed to reduce the risk of poor quality recommendations. Advice to decision makers must make explicit limitations resulting from absent, conflicting, or poor quality evidence.

Decision Making↗

Predicted health impacts of urban air quality management.

STUDY OBJECTIVE: The 1995 UK Environment Act required local authorities to review air quality and, where UK National Air Quality Strategy objectives (except ozone) are likely to be exceeded in 2005, to declare local air quality management areas and prepare action plans. This study modelled the impacts on health of reductions from current levels of PM(10) to these objectives. DESIGN: The framework for conducting quantified health impact assessment assessed causality, then, if appropriate, examined the shape and magnitude of the exposure-response relations. The study modelled declines in pollution to achieve the objectives, then modelled the numbers of deaths and admissions affected if air pollution declined from existing levels to meet the objectives, using routine data. SETTING: Westminster, central London. MAIN RESULTS: Attaining the 2004 PM(10) 24 hour objective in Westminster results in 1-21 lives no longer shortened in one year (annual deaths 1363). Reducing exceedences from 35 to seven almost doubles the estimates. The 2009 objective for the annual mean requires a substantial reduction in PM(10), which would delay 8-20 deaths. About 20 respiratory and 14-20 circulatory admissions would be affected and around 5% of emergency hospital attendances for asthma by attaining the lower annual mean target. The effects of long term exposure to particulates may be an order of magnitude higher: models predict about 24 deaths are delayed by reaching the 2004 annual target (40 microg/m(3)([gravimetric])) and a hundred deaths by reducing annual mean PM(10) to 20 microg/m(3)([gravimetric]). CONCLUSIONS: Modelling can be used to estimate the potential health impacts of air quality management programmes.

Air Pollutants↗

How do we make health impact assessment fit for purpose?

Progress has been made in recent years in the process of health impact assessment (HIA), including community involvement. The technical side is less well developed. A minimum requirement is that there should be some consistency or robustness, so that the outcome of an HIA does not depend just on who happens to carry it out, that it is not easily swayed by the vested interests that typically surround any project, and that it can withstand legal challenge. Validity is an important criterion, as well as repeatability, as the latter can be achieved merely by propagating errors. All types of evidence should be considered legitimate, including qualitative and quantitative methods. The quality of evidence, and its generalisability, need to be carefully assessed; we should leave behind the divisive discourse around "positivism". Typically there is less information on the links from interventions (policies or projects) to changes in determinants of health than there is on the immediate precursors of health and ill-health. A practical question is, how the best existing knowledge can be made available to HIA practitioners. Other issues are more tractable than is often thought, e.g. that an HIA has to be able to trade off positive and negative impacts to different groups of people, and that the complexity of social causation prevents clear analysis of cause and effect.

Evidence-Based Medicine↗

Time To Pregnancy and occupational lead exposure.

BACKGROUND: Lead exposure is known to be harmful to the male reproductive system, including impairment of fertility. However, it is unclear whether currently existing low levels of exposure have this effect. AIMS: To study retrospectively current workers in lead using industries (battery manufacture, smelting, etc), and in non-lead using control industries, in four European countries, with Time To Pregnancy as the outcome variable, as part of the EU funded Asclepios Project. METHODS: Exposure assessment was mainly by blood lead values, which were available from the late 1970s, supplemented by imputed values where necessary. Three exposure models were studied: (1) short term (recent) exposure; (2) total duration of work in a lead using industry; and (3) cumulative exposure. A Cox proportional hazards model with discrete ties was used for the statistical analysis, with covariates for both partners. RESULTS: A total of 1104 subjects took part, of whom 638 were occupationally exposed to lead at the relevant time. Blood lead levels were mainly less than 50 microg/dl. No consistent association of Time To Pregnancy with lead exposure was found in any of the exposure models, although reduced fertility was observed in one category each in models (2) and (3). CONCLUSIONS: This basically negative result is unlikely to be due to the misclassification of key variables, to insufficient statistical power, or to bias, for example, response bias. If any impairment of male reproductive function exists at the levels of occupational lead exposure now current, it does not appear to reduce biological fertility.

Cross-Sectional Studies↗

A framework for the evidence base to support Health Impact Assessment.

OBJECTIVE: To introduce a conceptual structure that can be used to organise the evidence base for Health Impact Assessment (HIA). BACKGROUND: HIA can be used to judge the potential health effects of a policy, programme or project on a population, and the distribution of those effects. Progress has been made in incorporating HIA into routine practice, especially (in the UK) at local level. However, these advances have mainly been restricted to process issues, including policy engagement and community involvement, while the evidence base has been relatively neglected. RELATING POLICIES TO THEIR IMPACT ON HEALTH: The key distinctive feature of HIA is that determinants of health are not taken as given, but rather as factors that themselves have determinants. Nine ways are distinguished in which evidence on health and its determinants can be related to policy, and examples are given from the literature. The most complete of these is an analysis of health effects in the context of a comparison of options. A simple model, the policy/risk assessment model (PRAM), is introduced as a framework that relates changes in levels of exposures or other risk factors to changes in health status. This approach allows a distinction to be made between the technical process of HIA and the political process of decision making, which involves lines of accountability. Extension of the PRAM model to complex policy areas and its adaptation to non-quantitative examples are discussed. ISSUES FOR THE FUTURE: A sound evidence base is essential to the long term reputation of HIA. Research gaps are discussed, especially the need for evidence connecting policy options with changes in determinants of health. It is proposed that policy options could be considered as "exposure" variables in research. The methodology needs to be developed in the course of work on specific issues, concentrated in policy areas that are relatively tractable. CONCLUSIONS: A system of coordination needs to be established, at national or supranational level, building on existing initiatives. The framework suggested in this paper can be used to collate and evaluate what is already known, both to identify gaps where research is required and to enable an informed judgement to be made about the potential health impacts of policy options. These judgements should be made widely available for policy makers and for those undertaking health impact assessment.

Evidence-Based Medicine↗

Sperm count and chromatin structure in men exposed to inorganic lead: lowest adverse effect levels.

OBJECTIVES: To obtain knowledge on male reproductive toxicity of inorganic lead at current European exposure levels and to establish lowest adverse effect levels, if any. METHODS: A cross sectional survey of the semen of 503 men employed by 10 companies was conducted in the United Kingdom, Italy, and Belgium. The mean blood lead concentration was 31.0 microg/dl (range 4.6-64.5) in 362 workers exposed to lead and 4.4 microg/dl (range below the detection limit of 19.8) in 141 reference workers. Semen volume and sperm concentration were determined in a fresh semen sample according to an agreed protocol subject to quality assurance. The sperm chromatin structure assay (SCSA) was performed at a centralised laboratory. Extraneous determinants including centre, period of sexual abstinence, and age were taken into account in the statistical analysis. If appropriate, possible thresholds were examined by iterative threshold slope linear regression. RESULTS: The median sperm concentration was reduced by 49% in men with blood lead concentration above 50 microg/dl. There was no indication of a linear trend of lower sperm concentration with increasing blood lead values, but threshold slope least square regression identified a blood lead concentration of 44 microg/dl (beta=-0.037, F=4.35, p=0.038) as a likely threshold. Abnormal sperm chromatin structure was not related to blood lead concentration, but some indications of deterioration of sperm chromatin was found in men with the highest concentrations of lead within spermatozoa. Biological monitoring data did not indicate long term effects of lead on semen quantity or sperm chromatin. CONCLUSION: Adverse effects of lead on sperm concentration and susceptibility to acid induced denaturation of sperm chromatin are unlikely at blood lead concentrations below 45 microg/dl. Effects of low level exposure to lead on other measures of testicular function cannot be ruled out.

Adult↗

Maternal obesity and pregnancy outcome: a study of 287,213 pregnancies in London.

OBJECTIVE: To examine the maternal and foetal risks of adverse pregnancy outcome in relation to maternal obesity, expressed as body mass index (BMI, kg/m(2)) in a large unselected geographical population. DESIGN: Retrospective analysis of data from a validated maternity database system which includes all but one of the maternity units in the North West Thames Region. A comparison of pregnancy outcomes was made on the basis of maternal BMI at booking. SUBJECTS: A total of 287,213 completed singleton pregnancies were studied including 176,923 (61.6%) normal weight (BMI 20--24.9), 79 014 (27.5%) moderately obese (BMI 25--29.9) and 31,276 (10.9%) very obese (BMI> or =30) women. MEASUREMENTS: Ante-natal complications, intervention in labour, maternal morbidity and neonatal outcome were examined and data presented as raw frequencies and adjusted odds ratios with 99% confidence intervals following logistic regression analysis to account for confounding variables. RESULTS: Compared to women with normal BMI, the following outcomes were significantly more common in obese pregnant women (odds ratio (99% confidence interval) for BMI 25--30 and BMI> or =30 respectively): gestational diabetes mellitus (1.68 (1.53--1.84), 3.6 (3.25--3.98)); proteinuric pre-eclampsia (1.44 (1.28--1.62), 2.14 (1.85--2.47)); induction of labour (2.14 (1.85--2.47), 1.70 (1.64--1.76)); delivery by emergency caesarian section (1.30 (1.25--1.34), 1.83 (1.74--1.93)); postpartum haemorrhage (1.16 (1.12--1.21), 1.39 (1.32--1.46)); genital tract infection (1.24 (1.09--1.41), 1.30 (1.07--1.56)); urinary tract infection (1.17 (1.04-1.33), 1.39 (1.18--1.63)); wound infection (1.27 (1.09--1.48), 2.24 (1.91--2.64)); birthweight above the 90th centile (1.57 (1.50--1.64), 2.36 (2.23--2.50)), and intrauterine death (1.10 (0.94--1.28), 1.40 (1.14--1.71)). However, delivery before 32 weeks' gestation (0.73 (0.65--0.82), 0.81 (0.69--0.95)) and breastfeeding at discharge (0.86 (0.84--0.88), 0.58 (0.56--0.60)) were significantly less likely in the overweight groups. In all cases, increasing maternal BMI was associated with increased magnitude of risk. CONCLUSION: Maternal obesity carries significant risks for the mother and foetus. The risk increases with the degree of obesity and persists after accounting for other confounding demographic factors. The basis of many of the complications is likely to be related to the altered metabolic state associated with morbid obesity.

Adult↗

Prevalence and determinants of erectile dysfunction in hemodialysis patients.

BACKGROUND: The prevalence of erectile dysfunction (ED) among patients with end-stage renal disease (ESRD) is not known. METHODS: A cross-sectional study was conducted to determine the prevalence of ED among a community-based hemodialysis (HD) population using a two-stage cluster random sampling design. The presence and severity of ED were assessed among 302 ESRD patients using the self-administered International Index of Erectile Function-5 (IIEF-5). Logistic regression was used to examine and test associations between ED and other medical conditions. RESULTS: The prevalence of any level of ED was 82% (95% CI, 76 to 87%) for all HD subjects. The prevalence of severe ED was 45% (CI, 36 to 55%). Subjects younger than 50 years had a prevalence of ED of 63% (CI, 53 to 71%), while in subjects 50 years or older, it was 90% (CI, 84 to 94%). A multivariable analysis demonstrated increasing age (50 to 59, OR = 2.04, 95% CI, 1.3 to 3.1; 60 to 69, OR = 5.5, 95% CI, 1.9 to 15.6) and diabetes (OR = 2.0, 95% CI, 1.2 to 3.3) to be independently associated with the presence of any level of ED. However, neither the subjects' age nor history of diabetes predicted the severity of ED among subjects with ED. The use of angiotensin-converting enzyme inhibitors (ACEIs) was inversely associated with ED (OR = 0.41, 95% CI, 0.17 to 0.98). Poor functional status (Karnofsky score or the Index of Physical Impairment) was not associated with ED. CONCLUSIONS: ED is extremely prevalent among HD patients. Increasing age, diabetes, and nonuse of ACEIs were associated with higher prevalence of ED. The high prevalence of ED was seen even among patients with good functional status.

Adult↗

The potential contribution of increased vegetable and fruit consumption to health gain in the European Union.

BACKGROUND: The risk of many important diseases can be reduced by consuming a diet rich in vegetables and fruit. For this reason the World Health Organization (WHO) recommends a daily intake of more than 400 g person(-1). The pattern of both the supply and intake of vegetables and fruit and the potential health gain achieved by increasing intake in the European Union (EU) and three accession countries are presented in this paper. METHODS: Patterns of supply and dietary intake were assessed using (1) FAO food balance sheets, which allow comparison between the levels of supply in countries but do not reflect actual intake; and (2) survey data reflecting dietary intake. Using WHO mortality data for coronary heart and cerebrovascular disease and major cancers up to age 65 years, the number of preventable deaths is estimated, assuming vegetable and fruit consumption were levelled up to that of the highest consuming group, and assuming relative risks of 0.5, 0.7 or 0.9. RESULTS: Vegetable and fruit consumption varies considerably between EU Member States. The populations of about half (seven) of the EU Member States have a mean daily intake of less than 275 g. Using the best current estimates of relative risk, over 26,000 deaths before the age of 65 years would be prevented annually in the EU if intake was levelled up to the highest consumption levels (and about double this number of deaths before the age of 75 years). CONCLUSION: Increasing the intake of vegetables and fruit is feasible and could result in considerable improvements in public health within the EU. Priority should be given to developing methods that demonstrate the burden of disease caused by too low intakes of vegetables and fruit. This would enable the appropriate social, cultural and economic policies to be developed within the EU.

Aged↗

What do we need for robust, quantitative health impact assessment?

Health impact assessment (HIA) aims to make the health consequences of decisions explicit. Decision-makers need to know that the conclusions of HIA are robust. Quantified estimates of potential health impacts may be more influential but there are a number of concerns. First, not everything that can be quantified is important. Second, not everything that is being quantified at present should be, if this cannot be done robustly. Finally, not everything that is important can be quantified: rigorous qualitative HIA will still be needed for a thorough assessment. This paper presents the first published attempt to provide practical guidance on what is required to perform robust, quantitative HIA. Initial steps include profiling the affected populations, obtaining evidence for postulated impacts, and determining how differences in subgroups' exposures and susceptibilities affect impacts. Using epidemiological evidence for HIA is different from carrying out a new study. Key steps in quantifying impacts are mapping the causal pathway, selecting appropriate outcome measures and selecting or developing a statistical model. Evidence from different sources is needed. For many health impacts, evidence of an effect may be scarce and estimates of the size and nature of the relationship may be inadequate. Assumptions and uncertainties must therefore be explicit. Modelled data can sometimes be tested against empirical data but sensitivity analyses are crucial. When scientific problems occur, discontinuing the study is not an option, as HIA is usually intended to inform real decisions. Both qualitative and quantitative elements of HIA must be performed robustly to be of value.

Guidelines as Topic↗

[Drug abuse among patients requiring psychiatric hospitalization].

We assessed the incidence of drug abuse among patients requiring psychiatric hospitalization, and characterized the population at risk. The data on drug abuse were obtained from self-reports and urine tests in 103 patients, aged 18-65, hospitalized in the Kfar Shaul Psychiatric Hospital (autumn 1998). There was close correspondence between the self-reports and the results obtained from urine tests. 1/3 admitted to having used illegal drugs and signs of drug abuse were found in about 1/4 of the urine tests. The most prevalent drugs were cannabis products (hashish and/or marijuana) and in 15 patients opiates. Drug users were younger than non-users. With regard to psychiatric symptomatology, fewer negative symptoms were recorded among cannabis abusers with schizophrenia, compared to schizophrenic patients with no history, past or present, of cannabis abuse. The present findings confirm the clinical impression that there has been an increase in drug abuse among mental patients, parallel to that found in society at large. Confirmatory surveys are necessary. Our findings clearly suggest that a change in attitude has occurred in Israel to what has been considered a marginal problem. Hospitalized mentally-ill patients, the younger in particular, should be considered at risk for drug abuse.

Adolescent↗